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PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

Project Management and Business Modeling: Methodologies,

Frameworks, and Strategic Alignment

Prof. Dr. M.F. HARAKE

CEREGE Research Laboratory – University of Poitiers (France)

Abstract

This paper explores the critical intersection of project management methodologies and business

modeling frameworks, emphasizing their strategic alignment as a determinant of organizational

success. Drawing on an extensive review of academic literature and real-world case studies, the

study examines traditional project management approaches—such as Waterfall and PRINCE2—

and contrasts them with Agile methodologies including Scrum, Kanban, and Lean.

Simultaneously, it analyzes foundational business modeling tools such as SWOT analysis and

Porter’s Five Forces, alongside contemporary models like the Business Model Canvas, Lean

Startup, and digital platform-based strategies. Through comparative analysis, the research

highlights how the choice and integration of project management methods must reflect and

support the underlying business model for effective strategy execution. Particular attention is

given to the dynamic role of project portfolio management, benefits realization, and executive

sponsorship in ensuring alignment. The paper identifies common barriers to integration—such

as organizational silos, poor governance, and inappropriate methodology selection—and

presents best practices drawn from high-performing organizations. Findings suggest that

adaptive, hybrid approaches combining elements from multiple methodologies, aligned with

evolving business model assumptions, lead to improved project outcomes and strategic agility.

The study contributes to both theory and practice by offering a comprehensive framework for

aligning project execution with strategic intent and underscores the need for cross-functional

collaboration in modern project-based organizations. This integrated view offers practitioners

and scholars a valuable lens to assess and improve the coherence between strategy formulation

and implementation.

Key Words: Project management, Business modeling, Strategic alignment, Agile

methodologies, Lean Startup, PRINCE2, Portfolio management, Digital transformation.

How to cite this work: Harake, M. F. (2025). Project Management and Business Modeling: Methodologies,

Frameworks, and Strategic Alignment, PM World Journal, Vol. XIV, Issue V, May.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

1. Introduction

1.1. Background and Context

Project management and business modeling represent two foundational disciplines that

together form the backbone of successful organizational strategy and execution. Project

management, through structured methodologies and disciplined practices, ensures that

initiatives are planned, monitored, and delivered effectively—on time, within budget, and in

accordance with defined requirements (Kerzner, 2017). By contrast, business modeling focuses

on the articulation of how an organization creates, delivers, and captures value through

analytical tools and frameworks (Osterwalder & Pigneur, 2010). These two domains are

symbiotic: robust business models establish strategic direction, while project management

operationalizes these strategies into measurable outputs and outcomes.

The importance of this synergy has grown with the increasing complexity of global markets, rapid

technological advancement, and the prevalence of innovation-driven initiatives. Notably, Kaplan

and Norton (2001) have emphasized that organizations implement strategy not through vision

statements alone but via strategic initiatives—consisting of carefully managed portfolios of

programs and projects. Yet, despite their critical roles, project management and business

modeling are often treated as distinct practices, leading to execution failures and value leakage.

1.2. The Challenge of Strategic Execution

Strategic execution remains one of the most persistent challenges facing modern organizations.

According to Cabanis-Brewin (2000), nearly 90% of corporate strategies fail to be implemented

effectively—not because they are inherently flawed, but because they falter in execution. In

many cases, this failure stems from the disconnection between strategic intent and the project-

based mechanisms intended to realize it. Projects may be delivered “on time, on budget, and to

scope,” but still fail to produce desired business outcomes if they are not tightly aligned with the

organization’s business model (PMI, 2017). The failure to translate business models into

actionable, well-governed project structures undermines not only return on investment but also

long-term strategic resilience.

This disconnect is particularly problematic in rapidly changing environments where agility,

innovation, and responsiveness are required. As Kaplan and Norton (2001) suggest, it is not

enough to define a strategy—organizations must execute it through a coordinated system of

initiatives that are directly traceable to strategic objectives. Without alignment, companies risk

allocating resources to projects that deliver minimal strategic value, leading to organizational

drift and opportunity loss.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

1.3. The Need for Integration

Bridging the gap between business modeling and project execution demands more than

procedural improvements; it requires the thoughtful integration of appropriate methodologies

and frameworks. On the project management side, approaches such as Waterfall, Agile, Scrum,

Lean, Kanban, and PRINCE2 offer a spectrum of strategies for dealing with different levels of

complexity, uncertainty, and stakeholder needs (Serrador & Pinto, 2015; Schwaber &

Sutherland, 2020). Simultaneously, on the strategic modeling front, frameworks such as SWOT

analysis (Helms & Nixon, 2010), Porter’s Five Forces (Porter, 1979), Business Model Canvas

(Osterwalder & Pigneur, 2010), and Lean Startup (Ries, 2011; Blank, 2013) enable organizations

to diagnose market contexts and design value creation systems.

However, the effectiveness of these methodologies is highly contingent upon contextual fit and

alignment. For instance, an innovative startup operating in a volatile digital ecosystem may

benefit from iterative Agile or Lean Startup approaches, allowing for rapid learning and pivoting

(Rigby et al., 2016). In contrast, a government infrastructure project might require the rigor and

documentation inherent in PRINCE2 or Waterfall. Case studies have demonstrated that

misalignment—such as applying a rigid methodology to an evolving strategy—can result in

project failure, resource waste, and strategic incoherence.

Thus, this paper contends that the selection and application of project methodologies must be a

strategic decision, grounded in the logic of the business model and adaptive to organizational

context. The interplay between these disciplines is not optional; it is a critical competency for

modern enterprises.

1.4. Objectives of the Study

The primary objective of this study is to explore the intersection between project management

and business modeling by critically analyzing how methodologies and frameworks from each

domain can be integrated to enhance strategic execution. The paper aims to:

• Examine major project management approaches (e.g., Agile, PRINCE2, Waterfall) and

their appropriate use cases.

• Analyze foundational and modern business modeling tools (e.g., SWOT, Porter’s Five

Forces, Business Model Canvas, Lean Startup).

• Assess the mechanisms of alignment between strategy and project execution, including

portfolio management, governance, and benefits realization.

• Present real-world case studies to illustrate successful and unsuccessful integrations of

strategy and execution (Ries, 2011).

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

• Provide evidence-based recommendations and best practices for achieving sustainable

alignment in various organizational contexts.

This study contributes to both theory and practice by offering a holistic view of how integrated

thinking in project and strategic management can improve business performance, innovation

capability, and organizational resilience.

1.5. Structure of the Paper

To address the above objectives, the paper is structured into six major sections. Following this

introduction, Section 2 presents a critical review of project management methodologies,

including their principles, strengths, and limitations. Section 3 focuses on business modeling

frameworks, both traditional and digital, analyzing how they inform strategic direction. Section

4 addresses the concept of strategic alignment, examining challenges and enablers of integrating

business models with project execution. Finally, Section 5 concludes with key findings and offers

practical recommendations for managers, project professionals, and strategy scholars alike.

2. Project Management Methodologies

2.1. Waterfall Methodology (Traditional Approach)

The Waterfall methodology is a classic linear project management approach that traces its roots

to the early days of systems engineering and software development. It was formally described

by Winston W. Royce in 1970 as a way to manage large software projects in sequential phases

(Royce, 1970). In a Waterfall process, the project is broken into distinct stages—commonly

requirements analysis, design, implementation, testing, and maintenance/deployment—each of

which must be completed fully before the next stage begins. The model is often visualized as a

cascading waterfall, where progress flows in one direction downward through the phases. This

approach emphasizes thorough upfront planning and documentation: the idea is to capture and

agree on all requirements and a detailed design early, thereby minimizing changes during

execution.

Waterfall’s strength lies in its structured nature and clarity of progress. Each phase has well-

defined deliverables and signoffs, which can be reassuring for management and stakeholders in

environments where requirements are stable and well-understood. For example, in construction

and other engineering domains, a Waterfall-like stage-gate process has long been standard,

since making design changes late in the construction process can be prohibitively costly. When

scope is fixed and the problem is well-defined, the Waterfall approach provides a clear roadmap

and predictable milestones (Kerzner, 2017). It also simplifies communication in large teams by

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

delineating responsibilities phase by phase—analysts focus on requirements, designers on

design, developers on implementation, and so forth.

However, the Waterfall methodology has well-documented limitations, especially in projects

characterized by uncertainty or evolving requirements (Serrador & Pinto, 2015). A fundamental

criticism is its inflexibility to change: once the project is underway, it is difficult to revisit and

revise earlier stages without significant cost and delay. Royce himself noted in 1970 that the pure

sequential approach has inherent risks and actually advocated incorporating some iterative

feedback loops, though the “waterfall” depiction became entrenched as the stereotype of plan-

driven projects (Royce, 1970). In practice, strict Waterfall can lead to situations where a team

proceeds for months or years based on initial assumptions, only to discover during testing or

deployment that the product does not meet the true needs of users or that requirements have

shifted. By deferring testing and user feedback until late in the lifecycle, Waterfall projects risk

“late discovery” of critical flaws at a point when changes are extremely expensive (Boehm, 1988).

Studies have shown that a majority of requirements in long projects often change over time,

which traditional Waterfall processes struggle to accommodate (Serrador & Pinto, 2015).

Empirical evidence on project success rates has further highlighted Waterfall’s challenges. The

Standish Group’s CHAOS report, a long-running industry study of software projects, found that

traditionally managed projects succeed (on time, on budget, with satisfactory results) at a

relatively low rate. In one CHAOS analysis, only about 11% of large traditional (Waterfall)

software projects were deemed successful, compared to much higher success rates for projects

using more iterative, Agile methodologies (Standish Group, 2015). Large-scale Waterfall projects

have often been associated with budget overruns and failures which illustrate the risk of

Waterfall in complex, uncertain environments.

Modern project management standards have evolved to mitigate some of Waterfall’s

shortcomings. The Project Management Institute (PMI), through its Project Management Body

of Knowledge (PMBOK), outlines a framework that still often aligns with a phased approach

(initiating, planning, executing, monitoring & controlling, closing), but PMI emphasizes iterative

planning and progressive elaboration even within a phase-gated structure (PMI, 2017). Many

organizations that operate in traditional Waterfall industries (like defense or construction) have

incorporated iterative reviews or parallel prototyping to inject flexibility. Nonetheless, when

requirements are highly stable and well-understood from the outset—such as a repeat project

similar to past efforts or compliance-driven projects with fixed specifications—the disciplined

rigor of Waterfall can be effective. Its linear nature ensures that everyone is “on the same page”

before moving forward, which can reduce ambiguity.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

In summary, the Waterfall methodology represents a plan-driven, documentation-intensive

approach best suited for projects with low uncertainty. It offers clarity and control at the expense

of adaptability. As later sections will discuss, the emergence of Agile methods was largely a

response to the recognition that many projects, especially in software and innovation-driven

fields, needed a more flexible approach to cope with change.

2.2. Agile Methodologies

By the late 20th century, frustration with the slow, unresponsive nature of heavyweight

methodologies like Waterfall led practitioners to seek more agile ways of managing projects. The

term Agile in the project management context refers to a family of methodologies rooted in

iterative development, continuous feedback, and adaptability to change. Agile emerged formally

with the publication of the Agile Manifesto in 2001 by a group of 17 software methodologists

(Beck et al., 2001). The Agile Manifesto articulated four core values: prioritizing “individuals and

interactions over processes and tools,” “working software over comprehensive documentation,”

“customer collaboration over contract negotiation,” and “responding to change over following

a plan” (Beck et al., 2001). Underlying these values are twelve principles emphasizing things like

early and continuous delivery of value, welcoming changing requirements even late in

development, close daily cooperation between business and developers, and regular reflection

for process improvement.

In essence, Agile methodologies reject the notion that detailed plans made at a project’s outset

can remain valid in the face of uncertainty and evolving understanding. Instead of a single pass-

through massive phase, Agile teams break work into small increments and iterations (often time-

boxed, e.g. 2-week sprints in Scrum). Each iteration goes through a mini cycle of planning,

execution, and review, producing a tangible subset of the product (a potentially shippable

increment) that can be evaluated by stakeholders. Feedback from these reviews then informs

the next iteration, allowing requirements and solutions to emerge and adapt over time

(Highsmith, 2002). This approach aligns well with projects in fast-moving or uncertain domains

(such as software, R&D, or creative endeavors), where the ability to incorporate new insights

and changing customer needs quickly is crucial.

Agile is more an overarching philosophy or mindset than a single methodology. A number of

specific frameworks implement Agile principles, the most popular being Scrum (Schwaber &

Sutherland, 2020) and Kanban (Anderson, 2010), which we discuss in subsequent sections. Other

Agile methodologies include Extreme Programming (XP), Feature-Driven Development (FDD),

Crystal, and more, each with its own practices but sharing the iterative, incremental approach.

Common practices across Agile methods include maintaining a prioritized backlog of work items

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

(features or user stories), conducting daily stand-up meetings for team synchronization, using

visual boards or burndown charts to track progress, and holding retrospectives to continuously

improve team processes (Schwaber, 2004). Agile teams are typically cross-functional and self-

organizing, meaning team members with different expertise (e.g., developers, testers, designers)

work together closely throughout, rather than handing off tasks between siloed departments as

in Waterfall (Rigby et al., 2016). This often leads to higher team communication and morale

(Rigby et al., 2016).

The benefits of Agile approaches have been documented in both industry surveys and academic

studies. Rigby et al. (2016) note that Agile methods, initially proven in software development,

have “greatly increased success rates” in IT projects and are now being applied to a wide range

of industries and functions. A quantitative study by Serrador and Pinto (2015) found that projects

using Agile practices were more likely to achieve their business objectives and had higher

stakeholder satisfaction than those using traditional approaches. Similarly, the Standish Group’s

data indicates that Agile projects succeed at a substantially higher rate, and with fewer

cost/schedule overruns, compared to Waterfall projects (Standish Group, 2015). For instance, as

mentioned earlier, agile-managed software projects have been observed to be roughly three

times more likely to succeed than waterfall-managed ones (Standish Group, 2015). These

improvements are often attributed to Agile’s emphasis on risk reduction through frequent

feedback and its ability to deliver partial value early and often (Beck et al., 2001; PMI, 2017).

It is important to note that Agile is not a silver bullet; it introduces its own challenges which we

will examine later (such as scaling to large projects or integrating with fixed budgeting

processes). However, when implemented with discipline and supported by an appropriate

organizational culture, Agile methodologies can significantly enhance a project’s responsiveness

and alignment with customer needs. Agile approaches exemplify a shift from predictive planning

to adaptive planning – instead of attempting to predict and control every task upfront, Agile

teams continuously adapt plans based on real project dynamics and feedback. This paradigm

shift has proven especially powerful in environments where change is not only inevitable but

frequent.

Agile’s influence on project management practice has been profound. Many organizations today

are adopting a hybrid approach, blending Agile with traditional methods (for example, using

Agile techniques within phases of a larger stage-gated framework, or maintaining high-level

Waterfall milestones for regulatory compliance while executing development sprints internally).

The rise of Agile has also led to new management approaches such as DevOps (integrating

development and IT operations for continuous delivery), which extend Agile principles to the full

product lifecycle. In summary, Agile methodologies prioritize flexibility, customer-centricity, and

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

iterative learning, representing a fundamentally different approach from the rigid planning of

Waterfall. The next sections will delve into specific Agile frameworks – notably Scrum and

Kanban – as well as other influential methodologies like Lean and PRINCE2.

2.3. Scrum

Scrum is one of the most popular Agile project management frameworks, particularly in software

development. It provides a lightweight process for managing complex work through iterative

progress and empirical feedback. The term “Scrum” was borrowed from rugby, metaphorically

referring to a tight, cohesive team advancing together downfield. Indeed, the framework’s

originators, Jeff Sutherland and Ken Schwaber, credit an analogy by Takeuchi and Nonaka (1986)

in which successful product development teams were compared to a rugby scrum – a cross-

functional unit moving as one, passing the ball back and forth (knowledge sharing) as they

progress (Takeuchi & Nonaka, 1986). This imagery emphasizes the core of Scrum: small, self-

organizing teams working in a synchronized, collaborative manner to achieve goals

incrementally.

Scrum was formalized in the mid-1990s as an Agile method and was later described in the Scrum

Guide (Schwaber & Sutherland, 2020). The Scrum framework defines a set of roles, events, and

artifacts that together constitute an iterative project delivery process. The key roles in Scrum

are:

• The Product Owner, who represents the business or customer and is responsible for

defining and prioritizing the product backlog (the ordered list of work to be done) to

maximize value.

• The Scrum Master, who serves as a facilitator and coach, helping remove impediments

and ensure the team follows Scrum practices.

• The Development Team (or simply “the team”), a multi-disciplinary group (developers,

testers, designers, etc.) that builds the product increment. Scrum teams are typically

small (often 5–9 members) and self-managing.

Scrum operates in time-boxed iterations called Sprints, usually 1 to 4 weeks in length. Each Sprint

begins with a Sprint Planning meeting where the Product Owner and team agree on a set of

backlog items (user stories or tasks) to deliver by the end of the sprint, forming the Sprint

Backlog. During the Sprint, the team holds a short Daily Scrum (stand-up) meeting each day

(limited to 15 minutes) to synchronize efforts, report progress, and surface any blockers. At the

end of the Sprint, two key events occur: the Sprint Review and the Sprint Retrospective. In the

Sprint Review, the team demonstrates the completed Increment (working product functionality)

to the Product Owner and stakeholders, gathering feedback and validating that it meets

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

acceptance criteria. The Retrospective is an internal meeting where the team reflects on their

process and identifies improvements to implement in the next Sprint (Schwaber, 2004). These

ceremonies embody Scrum’s commitment to continuous improvement and adaptation.

The artifacts central to Scrum include the Product Backlog (the prioritized list of all desired work

on the project, which is dynamic and evolves as new insights emerge), the Sprint Backlog (the

subset of items the team commits to deliver in a given Sprint, along with a plan for accomplishing

them), and the Product Increment (the potentially shippable outcome of each sprint that adds

to previously delivered increments). Progress is often tracked visually using a burndown chart

showing remaining work over time, which provides transparency into whether the team is on

track to complete the sprint scope.

Scrum’s approach has several advantages. It enables frequent inspection and adaptation; by

delivering in short cycles, the team and stakeholders can course-correct often, reducing the risk

of building the wrong product. It also fosters strong stakeholder engagement, as the Product

Owner is continuously involved and the product is reviewed with stakeholders at the end of

every sprint. Scrum teams focus on delivering the highest-value features first (through backlog

prioritization), which often means key functionality is delivered early in the project timeline

rather than at the very end (Schwaber & Sutherland, 2020). This approach can lead to improved

customer satisfaction and is well suited to projects where requirements are likely to change or

are not fully known upfront.

Scrum has been successfully applied far beyond its software origins – in marketing, hardware

development, and even in domains like education or event planning (Rigby et al, 2016). One

often-cited case is how the FBI redeveloped its case management system using Scrum teams

after a waterfall attempt failed; by adopting iterative development, the Bureau was able to

deliver a workable system (the Sentinel project) in smaller increments, demonstrating the power

of Scrum in rescuing a previously troubled project (Goldstein, 2005). Many large organizations

(IBM, Microsoft, SAP, etc.) have adopted Scrum at scale, sometimes in conjunction with scaling

frameworks (like SAFe or LeSS) to coordinate multiple Scrum teams on enterprise projects.

Despite its benefits, Scrum also introduces challenges. It requires a cultural shift to empower

teams and trust the iterative process. Organizations adopting Scrum sometimes struggle with

roles and habits – for example, if a traditional manager interferes with a self-organizing team, or

if the Product Owner role is not adequately filled or empowered (Rigby et al., 2016). Additionally,

Scrum’s strict time-boxing and ceremony schedule can seem rigid if misapplied, and it may need

tailoring in non-software contexts. Furthermore, Scrum presumes a level of commitment and

continuity from team members that may be hard to sustain if individuals are spread across

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

multiple projects or operational duties. Nonetheless, Scrum’s track record in improving project

outcomes is well supported. In the framework’s simplicity lies its power: it provides just enough

structure to enforce discipline and transparency, while remaining flexible enough to adapt to

different types of work.

In summary, Scrum is a disciplined Agile method that helps teams deliver complex projects

through iterative, incremental progress and tight feedback loops. It embodies the Agile principles

discussed above and is a cornerstone of modern project management practice in technology.

Many organizations rely on Scrum to drive product development in an uncertain world, making

it a key methodology for managers to understand and potentially leverage.

2.4. Kanban

Kanban is another prominent Agile method, distinguished by its focus on visual workflow

management and continuous delivery. The term Kanban (Japanese for "signboard" or "card")

originates from the Toyota Production System in manufacturing. On the Toyota factory floor,

Kanban cards were used to signal demand for parts in a pull-based production system, allowing

for just-in-time inventory management (Ohno, 1988). In the late 2000s, these principles were

adapted to knowledge work and software development, notably by David J. Anderson and

others, to create what is now known as the Kanban method for project management (Anderson,

2010).

In a Kanban system, work items are represented visually on a Kanban board, typically with

columns that represent stages of the workflow (e.g., “Backlog/To Do,” “In Progress,” “In

Review/Testing,” “Done”). Each work item (task or user story) is written on a card and moves

across the board from left to right as it progresses through the stages. This visualization provides

the team and stakeholders with a constant, real-time picture of work status and flow. A key tenet

of Kanban is to limit work-in-progress (WIP) for each stage – that is, set a maximum number of

items that can be “In Progress” at any given time. By imposing WIP limits, Kanban aims to identify

bottlenecks (if the “Testing” column is at its limit, for instance, it signals a constraint in testing

capacity) and to ensure smooth flow by preventing the system from being overloaded

(Anderson, 2010).

Unlike Scrum, Kanban does not prescribe fixed-length iterations or required roles. It is a flow-

based method rather than an iteration-based one. Teams practicing Kanban often work in a

continuous delivery mode, releasing work as soon as it’s ready rather than waiting for the end

of a sprint. There is no concept of “starting a sprint” or a “sprint backlog” in pure Kanban; instead,

whenever capacity is available (e.g., a developer finishes a task, freeing up a slot in the “In

Progress” column), the next top-priority card from the backlog is pulled into work. This pull

system ensures that work is only started when the team is ready to handle it, which helps avoid

the accumulation of partially done work and reduces inefficiencies like context-switching.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

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Kanban’s strengths include its simplicity and adaptability. It can be overlaid on existing processes

without a radical reorganization – often teams begin using Kanban by simply visualizing their

current work and then incrementally improving their process by introducing WIP limits or

refining policies (Anderson, 2010). It is well-suited for teams that need to handle incoming work

on a continuous basis (for example, IT operations, maintenance, or support teams where tasks

arrive ad hoc, and priorities can shift frequently). Kanban boards are also commonly used in

conjunction with other frameworks; for instance, many Scrum teams use a Kanban-style board

to track sprint tasks. In industries beyond software, Kanban boards have been used in fields like

healthcare, marketing, and education as a way to visualize and manage work.

Studies and experience reports have noted several benefits of Kanban implementation: reduced

lead time for work items, increased throughput, and improved team focus by avoiding

multitasking (Ahmad et al., 2013). By limiting WIP, teams often find they finish work faster and

with higher quality, since team members can concentrate on a smaller number of tasks at once,

leading to less context switching (Ahmad et al., 2013). The continuous nature of Kanban also

means that there is no artificial downtime between sprints or need to wait for a planning meeting

to pull in high-priority work; the process encourages a steady rhythm of work and responsiveness

to change.

One real-world example of Kanban’s success is its use at Microsoft in the mid-2000s: a software

engineering group reported significant improvements in their defect resolution process after

adopting Kanban, including shorter cycle times and clearer identification of bottlenecks

(Anderson, 2010). Another well-known case is Kanban’s use in the Xbox team at Microsoft to

manage support tickets and feature requests, which allowed the team to handle varying

workloads efficiently by dynamically adjusting WIP limits and priorities (Anderson, 2010). These

cases illustrate Kanban’s focus on evolutionary change – it often starts with the existing process

and continuously improves it, rather than forcing a drastic process overhaul upfront.

As with other Agile methods, Kanban requires a culture of continuous improvement. Teams

practicing Kanban are encouraged to use metrics like cycle time (the time from starting to

finishing a work item) and throughput (items completed per unit time) to monitor their process

and find opportunities for refinement. Regular cadences such as daily stand-ups around the

Kanban board or periodic retrospectives can be employed, although Kanban is flexible about

these practices (Leopold & Kaltenecker, 2015).

In summary, Kanban provides an Agile approach focused on visualizing work and optimizing flow.

It embodies Lean principles (from which it originated) by seeking to eliminate waste (e.g., time

spent waiting or on unnecessary work) and deliver value continuously. The method’s adaptability

makes it a powerful tool in various project environments, either on its own or in hybrid

combinations with other approaches. For teams and organizations that require flexibility and a

continuous workflow – as opposed to time-boxed iterations – Kanban offers a proven path to

greater efficiency and responsiveness.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

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2.5. Lean Project Management

The term Lean originates from the study of Toyota’s manufacturing system, which in the late

20th century was recognized for its exceptional efficiency and quality. In their landmark book

Lean Thinking, Womack and Jones (1996) distilled the Toyota Production System into five core

principles: define value from the customer’s perspective, map the value stream (and eliminate

wasteful steps), create continuous flow of value-adding activities, establish a pull system driven

by customer demand, and pursue perfection through continuous improvement (Womack &

Jones, 1996). In a project management context, Lean methodology means applying these

principles to the way projects are executed: focusing on what delivers value to the customer (or

end-user), eliminating anything that does not contribute to that value (reducing waste), and

continuously improving processes and outcomes.

Lean project management is not a rigid framework with prescribed ceremonies (like Scrum) but

rather a philosophy or approach that can overlay any methodology. Key Lean practices include

systematically identifying and removing waste (called muda in Japanese) such as unnecessary

paperwork, waiting times, redundant processes, or over-engineering. Lean also emphasizes

continuous improvement (kaizen) – teams regularly reflect on their workflow to find small

changes that can lead to better efficiency or quality (Liker, 2004). In industries like manufacturing

and construction, Lean techniques have been applied as Lean Production or Lean Construction

to streamline project delivery (Ballard & Howell, 2003). For example, construction firms have

used the “Last Planner System” (a Lean scheduling method) to reduce delays and improve

coordination on complex building projects, reporting improved reliability in meeting deadlines

(Ballard, 2000).

In software development and product development, Lean principles manifest in approaches like

Lean Software Development (Poppendieck & Poppendieck, 2003), which translated the Lean

manufacturing ideas to software engineering. Mary and Tom Poppendieck (2003) articulated

Lean software principles such as: eliminate waste (e.g., unused features, extra bureaucracy),

amplify learning (e.g., by rapid prototyping and frequent feedback), decide as late as possible (to

preserve flexibility), deliver as fast as possible, empower the team, build in quality (through

practices like automated testing and code reviews), and see the whole (holistic optimization

rather than local sub-optimization). Many of these align closely with Agile concepts; indeed, Agile

and Lean are complementary—Agile methods can be seen as implementations of Lean thinking

in project management. For instance, both focus on delivering small increments of value and

iterating based on feedback (which avoids the waste of building large chunks of unused

functionality).

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Lean project management often involves visual management tools (like Kanban boards, as

discussed above) to make the flow of work and any bottlenecks visible. Another tool associated

with Lean is the value stream map, which diagrams each step in a process to identify non-value-

adding steps that can be removed or improved (Rother & Shook, 1999). Lean also puts strong

emphasis on multifunctional teams and flattening organizational layers to empower those doing

the work to contribute ideas for improvement. This is echoed in project environments by pushing

decision-making down to the team level and encouraging open communication.

One of the biggest contributions of Lean thinking to project management is the focus on

delivering value sooner. By trimming the fat from processes and avoiding gold-plating, Lean

projects aim to provide the customer with what they need as quickly as possible, and then

enhance it based on real use and feedback. In an IT context, this might mean delivering a

minimum viable product early (a concept further expanded in Lean Startup methodology,

discussed later) instead of waiting to deliver a complete solution at the very end. The results can

be dramatic: for example, a case study at a telecom company found that applying Lean

techniques to their project governance reduced time-to-market by 20% and eliminated

numerous unnecessary approval steps, without sacrificing quality or control (Brooks, 2009). Such

outcomes illustrate how Lean’s relentless focus on efficiency and value can translate into

competitive advantage.

Lean’s challenge is that it requires a culture willing to challenge the status quo and empower

teams – organizations with rigid hierarchies or silos may find “going Lean” difficult. Additionally,

while eliminating waste sounds straightforward, identifying what is truly waste versus what is

necessary (e.g., certain documentation might seem like overhead but is essential for regulatory

compliance) often requires careful judgment and experience. Successful Lean implementations

usually start small, proving out gains on a pilot project and then scaling up once buy-in is

achieved (Womack & Jones, 1996).

Overall, Lean project management contributes a mindset of efficiency and relentless

improvement that can significantly enhance other project methodologies. Whether used on its

own or in tandem with frameworks like Agile/Scrum, Lean’s focus on value maximization and

waste reduction helps teams deliver more with less – a critical advantage in today’s competitive

and resource-constrained environments.

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2.6. PRINCE2

PRINCE2 (Projects IN Controlled Environments, version 2) is a structured project management

methodology that originated in the UK and has become a de facto standard for government and

large enterprise projects in many parts of the world. PRINCE2 was initially developed by the UK

government’s Central Computer and Telecommunications Agency (CCTA) in 1989 as a method

for IT project management (then called PRINCE), and it was later revised and released as PRINCE2

in 1996 to be more generic and widely applicable to all types of projects (AXELOS, 2017). Since

then, it has been adopted by organizations globally and is especially popular in the UK, Europe,

and Australia, often as a requirement for public sector project work (Pollack & Crawford, 2005).

PRINCE2 is process-driven and documentation-heavy, providing a detailed methodology with

defined roles, management products (documents), and processes. The method is built on 7

principles, 7 themes, and 7 processes (AXELOS, 2017):

• The principles include continued business justification (a project should have a valid

business case at all times), learn from experience, defined roles and responsibilities,

manage by stages, manage by exception, focus on products, and tailor to suit the project

environment.

• The themes cover key knowledge areas that persist throughout the project: Business

Case, Organization (project governance structure), Quality, Plans, Risk, Change (issue and

change control), and Progress (monitoring and reporting).

• The processes describe the project lifecycle in PRINCE2, from Starting up a Project and

Initiating a Project, through controlled stage boundaries (each stage must be authorized

by a Project Board before proceeding) to project closure.

A hallmark of PRINCE2 is its emphasis on the business case and alignment with business

objectives. Before and during a PRINCE2 project, a formal Business Case document is maintained

to justify the project in terms of expected benefits vs. costs and risks (AXELOS, 2017). If at any

point the project no longer justifies its expected benefits (for example, if costs escalate or

business needs change), PRINCE2’s guidance is that the project should be stopped. This ensures

strategic alignment and that resources are spent only on valuable initiatives – an embodiment

of the principle of continued business justification.

Another defining feature is the project governance structure in PRINCE2. The method defines a

Project Board (Steering Committee) comprising the Project Executive (sponsor), Senior User(s),

and Senior Supplier(s). This board provides high-level direction and makes key decisions, but

delegates day-to-day management to a Project Manager. The Project Manager in PRINCE2 has

clearly defined responsibilities for planning, executing, and controlling the project on a stage-by-

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stage basis, but operates under the “manage by exception” principle. That means tolerances are

set for scope, time, cost, quality, risk, and benefits for each stage; if the project manager

anticipates exceeding these tolerances, they must escalate to the Project Board, otherwise the

board trusts the manager to handle things within bounds (AXELOS, 2017). This principle is meant

to empower managers while ensuring oversight only when necessary, preventing micro-

management.

PRINCE2 is known for its extensive use of templates and documents (referred to as management

products): for example, the Project Initiation Documentation (PID) which consolidates the

project plan, risk register, and business case; stage plans; issue logs; lessons learned reports; etc.

While this ensures thorough documentation and clarity (important in large projects with many

stakeholders and regulatory requirements), it has sometimes led to the criticism that PRINCE2

can be bureaucratic if implemented in a rigid way. Proponents argue that PRINCE2 is scalable

and tailorable – the method explicitly advises tailoring the level of formality and documentation

to the project’s size and risk (AXELOS, 2017). In practice, skilled PRINCE2 practitioners will right-

size the method, using only the necessary components.

The strengths of PRINCE2 lie in its rigor and control. It excels in complex, high-risk projects where

detailed planning, risk management, and accountability are paramount. Industries such as

defense, finance, and government infrastructure have benefited from PRINCE2’s structured

approach to managing scope and risk (Bentley, 2010). For example, a defense procurement

project might use PRINCE2 to ensure that at each stage (concept, design, testing, deployment),

all requirements are verified, and the project does not proceed to the next phase without formal

approval, thereby avoiding runaway costs. PRINCE2’s widespread adoption by companies like

IBM, Siemens, and BAE Systems for large multi-national projects demonstrates its robustness

when meticulous project governance is required (Office of Government Commerce, 2009).

However, PRINCE2 also faces challenges and limitations. The comprehensive nature of the

methodology can lead to overhead in smaller projects; if every document and process is followed

to the letter, a small team might spend more time managing the methodology than doing actual

project work. Additionally, PRINCE2 in its pure form assumes a relatively stable project

environment – while change control is built in, it is not inherently as flexible in embracing change

as Agile methodologies (Charvat, 2003). In fast-paced environments, teams may find PRINCE2

too slow or cumbersome unless tailored. In response to such concerns, many organizations that

use PRINCE2 have integrated it with Agile delivery methods: for instance, using PRINCE2 for high-

level governance and stage control, but allowing Agile teams (e.g., Scrum teams) to operate

within stages to develop products iteratively. Axelos (the custodian of PRINCE2) even released

“PRINCE2 Agile” guidance to bridge these approaches (Wilcox, 2017). This kind of hybrid model

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attempts to get the best of both worlds: strong alignment with strategic objectives and risk

control via PRINCE2, combined with the adaptability and speed of Agile at the execution level.

In conclusion, PRINCE2 represents a best-practice, standardized methodology for project

management with a strong pedigree in government and corporate projects. Its focus on clear

structure, defined roles, and thorough documentation provides assurance in environments

where project failure is not an option. While not as lightweight or adaptive as Agile approaches,

PRINCE2’s techniques for ensuring projects remain justified and under control make it a valuable

methodology, particularly for large-scale endeavors that require a high degree of oversight and

stakeholder confidence. Skilled practitioners often combine PRINCE2 with other tools and tailor

it appropriately, underscoring that methodology should serve the project’s needs – not the other

way around.

3. Business Modeling Frameworks

3.1. SWOT Analysis

One of the most ubiquitous strategic planning tools is the SWOT analysis, which examines an

organization’s internal Strengths and Weaknesses, and its external Opportunities and Threats.

The SWOT framework emerged in the 1960s as a simple yet powerful way for businesses to

assess their competitive position and environment (Helms & Nixon, 2010). By listing strengths

and weaknesses, managers take stock of internal capabilities and limitations (for example, a

strong brand or a skilled workforce might be strengths; outdated technology or a high debt load

might be weaknesses). By identifying opportunities and threats, they scan the external

environment—opportunities could include new markets, emerging customer needs, or

regulatory changes that favor the firm, while threats could include new competitors, shifts in

consumer behavior, or economic downturns.

The appeal of SWOT lies in its simplicity and versatility. It can be applied at the organizational

level, or for a specific product, project, or even an individual. In project management contexts, a

project team might perform a SWOT analysis during initiation to ensure that planning considers

internal team strengths/weaknesses (e.g., expertise, resource constraints) and external

opportunities/threats (e.g., market demand for the project’s output, potential supply chain

issues, or stakeholder opposition). The output of a SWOT analysis is typically a 2x2 matrix with

bullet points under each category, which can then inform strategy formulation—leveraging

strengths, shoring up weaknesses, seizing opportunities, and mitigating threats. For example,

suppose a software company conducts a SWOT and finds a major strength in its innovative

culture but a weakness in marketing; an opportunity in a growing demand for mobile apps but a

threat from a new competitor. This insight might lead them to a strategy that focuses on rapid

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innovation (to capitalize on culture and market demand) while partnering or hiring to address

marketing deficiencies, all the while monitoring competitor moves that could threaten success.

Academically, SWOT is often taught as one of the first steps in strategic planning or business

model evaluation, because it encourages holistic thinking (Dyson, 2004). However, research also

highlights limitations of SWOT if not used carefully. One critique is that SWOT results can be very

subjective—two people might list very different factors for the same organization depending on

their perspective (Hill & Westbrook, 1997). SWOT analysis itself does not provide solutions or

decisions; it is essentially an organizing tool. Another limitation is that SWOT often produces a

long list of bullet points without clear prioritization or guidance on which factors are truly pivotal.

As a result, managers sometimes end up with an overly broad view and no clear focus on what

to do next. Helms and Nixon (2010), in a review of SWOT’s use, note that while it remains widely

popular (appearing in countless business plans and student projects), its effectiveness depends

on how it’s integrated into subsequent strategy formulation processes. They suggest that pairing

SWOT with other techniques—such as a TOWS matrix (which flips SWOT to match internal

strengths/weaknesses with external opportunities/threats to generate strategic options) or

analytical hierarchy methods to weigh factors—can help translate SWOT findings into concrete

actions (Helms & Nixon, 2010).

Despite these caveats, SWOT analysis endures as a fundamental framework. Its longevity is a

testament to the intuitive insight that organizations must understand both their internal

condition and external environment to succeed. Many case studies of corporate strategy include

a SWOT analysis as a starting point. For example, before launching a major project or entering a

new market, companies like Coca-Cola or Nike often assess their strengths (brand, distribution

network), weaknesses (perhaps high production costs or a gap in a product line), opportunities

(emerging markets, new technologies), and threats (changing consumer tastes, new regulations)

as part of their strategic planning (Thompson, 2017). While the output of a SWOT is not the final

strategy, it provides a structured awareness that can shape strategic choices. Thus, SWOT

remains a staple in both business modeling and project planning exercises, valued for its

straightforward approach to synthesizing internal and external analyses.

3.2. Porter’s Five Forces

Another foundational framework in business modeling is Porter’s Five Forces analysis, developed

by Michael E. Porter of Harvard Business School. Porter introduced the Five Forces model in 1979

as a way to analyze the attractiveness and competitive intensity of an industry (Porter, 1979).

The core idea is that five key forces shape the profit potential of any industry:

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1. Threat of New Entrants – How easy or difficult is it for new firms to enter the industry

and become competitors? (Barriers to entry such as high capital requirements, strong

brands, patents, economies of scale, or regulatory hurdles will lower this threat.)

2. Bargaining Power of Suppliers – Are suppliers (of raw materials, components, labor, etc.)

able to demand high prices or otherwise exert influence? (If an industry has few supplier

options or high switching costs for firms, suppliers have more power and can capture

more value.)

3. Bargaining Power of Buyers – Are customers able to negotiate lower prices or better

terms? (If customers are concentrated or can easily switch to alternatives, they have

strong power; if customers are fragmented or product differentiation is high, buyer

power is lower.)

4. Threat of Substitute Products or Services – Can customers switch to a different kind of

product or service that fulfills the same need? (For example, the threat of substitutes for

a soda company includes consumers switching to water, coffee, or other beverages; high

substitute threat can cap prices and profits.)

5. Rivalry Among Existing Competitors – How intense is the competition among current

players in the industry? (Factors include the number and balance of competitors, industry

growth rate, product differentiation, excess capacity, and exit barriers. High rivalry often

erodes profitability through price wars or increased marketing.)

The collective strength of these five forces determines the overall profitability of an industry

(Porter, 1979). For instance, an industry where all five forces are strong (many rivals, easy entry

for newcomers, powerful suppliers and buyers, and plenty of substitutes) will tend to have low

average profitability, as firms in that industry face pressure on all sides. Conversely, in an industry

where the forces are weak (e.g., high entry barriers, few substitutes, fragmented or weak

buyer/supplier power, and moderate rivalry), companies may enjoy higher profit margins.

Porter’s thesis is that industry structure, as defined by these forces, is a key driver of firm

performance, sometimes even more so than the firm’s internal strengths or how well it executes

(Porter, 2008).

Practitioners use Five Forces analysis to understand where power lies in a business situation and

to inform strategic decisions about how to position the company or whether to enter a market.

For example, consider the airline industry: rivalry is intense (many airlines competing on price),

buyers have high power (travelers can compare fares easily and have many choices), suppliers

have considerable power (aircraft manufacturers like Boeing/Airbus and fuel suppliers dominate

their markets; pilots and labor unions also exert influence), the threat of new entrants is

moderated by high capital costs but not impossible (low-cost carriers do emerge), and

substitutes exist to some extent (e.g., high-speed rail on certain routes, or videoconferencing

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reducing business travel). As a result, the airline industry historically has low profitability. This

aligns with a Five Forces analysis indicating strong pressures in multiple categories, explaining

why sustained competitive advantages in airlines are hard to achieve (Porter, 2008). In contrast,

consider the pharmaceutical industry for patented drugs: extremely high entry barriers (R&D

cost, regulatory approval), low threat of substitutes for novel therapies, moderate supplier

power (chemical suppliers are many) and buyer power (patients have little choice if a drug is

unique, though payers introduce some power), and rivalry is limited to a few large firms. This

Five Forces configuration historically allowed high margins for pharma companies, at least until

patents expire.

Porter’s framework has become a staple in business strategy and MBA curricula because it

provides a systematic way to evaluate external forces beyond just direct competitors. It

encourages strategists to look at the broader ecosystem: Who else captures value in the chain

(suppliers, distributors)? Could adjacent technologies or products render ours obsolete

(substitutes)? Are customers or suppliers in a position to bargain away our margins? By

answering these questions, a firm can identify strategic actions, such as investing in barriers to

entry (e.g., building brand loyalty or securing intellectual property), diversifying or locking in

suppliers, finding ways to increase switching costs for buyers, or differentiating its product to

mitigate rivalry.

That said, Five Forces is not without limitations. One critique is that it provides a static snapshot

of competition, whereas in reality industries evolve and the forces can shift. Also, the model

traditionally focuses on competition rather than collaboration; in modern business ecosystems,

companies often form partnerships or alliances (even with competitors) that can change how

value is distributed (Brandenburger & Nalebuff, 1996). Additionally, some have noted that the

Five Forces framework doesn’t explicitly account for the role of complementors – businesses

that provide complementary products or services that increase the value of an industry (e.g., app

developers for a smartphone platform) – though one can argue they indirectly appear via the

forces (complementors can affect the threat of substitutes or the power of buyers). Porter’s later

writings (2008) acknowledge phenomena like the role of new business models and the dynamics

of convergence, but the core framework remains focused on these five structural forces.

In practice, Five Forces analysis is often used in conjunction with SWOT or PESTEL analysis to give

a full picture of a strategic situation. For instance, a company planning to enter the electric car

industry might use Five Forces to evaluate industry profitability (finding, perhaps, high rivalry

and high supplier power in batteries, but fewer substitutes for personal transport currently) and

then use SWOT to gauge its internal readiness. By combining insights, strategists can decide how

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to proceed – whether to enter, and if so, how to position their business model to defend against

the strongest forces.

In summary, Porter’s Five Forces is a foundational framework for assessing the competitive

environment of an industry. It remains a powerful tool for understanding why industries differ

in profitability and what levers a company might pull to improve its position. While it may need

to be supplemented or updated for specific contexts (like platform-based digital industries, as

discussed later), it provides a clear, enduring reminder that business success is not just about

running projects well internally, but also about navigating the external competitive forces that

determine the “rules of the game.”

3.3. Business Model Canvas

A more recent and practically oriented framework for business modeling is the Business Model

Canvas (BMC), developed by Alexander Osterwalder and Yves Pigneur (2010). The Business

Model Canvas provides a one-page visual template that captures the essential elements of how

an organization creates, delivers, and captures value. It consists of nine building blocks which

together give a holistic picture of a business model (Osterwalder & Pigneur, 2010):

• Customer Segments: The different groups of customers or users the business aims to

serve. (Who are our target customers? For example, in Airbnb’s model, one segment is

travelers seeking short-term lodging, and another is hosts with space to rent.)

• Value Propositions: The bundle of products and services that create value for those

customer segments. (Why do customers choose us? Airbnb’s value proposition to

travelers is unique local accommodation experiences at various price points, and to hosts

it is the opportunity to earn income from spare space.)

• Channels: How the value propositions are delivered to customers – the distribution,

sales, and communication channels. (For Airbnb, the primary channel is its digital

platform – website and mobile app – through which users search for listings, book and

pay.)

• Customer Relationships: The type of relationship the business establishes with each

segment (e.g., personal assistance, self-service, automated, communities). (Airbnb relies

heavily on a community-based model: trust is built via peer reviews and customer

support is available when issues arise, but much of the day-to-day interaction is

automated through the platform.)

• Revenue Streams: How the company earns revenue from each segment (e.g., asset sale,

usage fees, subscription fees, advertising). (Airbnb’s main revenue stream is a

commission on each booking transaction, taken from hosts and guests.)

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• Key Resources: The most important assets (physical, intellectual, human, financial)

required to make the business model work. (For Airbnb, key resources include its

software platform, the brand/trust it has established, and a base of hosts and listings

worldwide – notably, Airbnb doesn’t own properties, but its resource is the network of

users and data.)

• Key Activities: The most important things the company must do to deliver its value

propositions. (Airbnb’s key activities include maintaining and improving its platform

technology, marketing to grow the user base on both sides, and trust & safety operations

to monitor listings and handle disputes.)

• Key Partnerships: The network of suppliers and partners that help the business model

function. (Airbnb partners with payment processors, mapping services, and sometimes

local governments; it may also partner with photography services for listings or cleaning

services via referrals – all to enhance its service offering without doing everything in-

house.)

• Cost Structure: The major costs inherent in the business model (fixed and variable costs).

(For Airbnb, significant costs include platform development and maintenance, customer

support operations, insurance programs for hosts, and marketing; unlike hotels, it has no

property maintenance costs, illustrating a cost advantage of its model.)

The Business Model Canvas is essentially a strategic management tool that allows entrepreneurs

and managers to sketch out and discuss a business model in a structured way. Its popularity

stems from its clarity and focus: by fitting everything on one page, it forces conciseness and

highlights the interdependencies between different parts of the model (Osterwalder & Pigneur,

2010). For example, if you change a value proposition, you can immediately consider how that

might necessitate new key activities or alter the cost structure.

In practice, the Canvas is often used in workshops or brainstorming sessions. Teams might use

sticky notes on a poster-sized canvas to try out different configurations of a business model. This

fosters innovation by making it easy to pivot or adjust parts of the model and see the ripple

effects. For startups, the Business Model Canvas has largely supplanted the traditional lengthy

business plan in early stages; rather than writing dozens of pages of assumptions, founders use

the canvas to map their hypotheses about customers, value, and operations, and then iteratively

test and refine those hypotheses (Blank, 2013). The canvas also provides a common language

between the “business side” and “technical side” of a team; for instance, engineers and

marketers can both see how their activities connect (the engineers’ work might be a key activity

enabling a value proposition, while marketing is a key activity enabling customer relationships

and channels).

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The BMC’s intuitive format has made it a common language for discussing business models in

both corporate and academic settings. It provides a checklist of sorts to ensure that when

designing a new venture or transforming an existing one, no key element is overlooked (Johnson

et al., 2008). For example, a technology company might use the canvas when planning a new

service launch: the tech team might be focused on the platform (key resources and activities),

but the canvas prompts discussion of revenue streams (will it be subscription or ad-supported?),

customer segments (consumer vs. enterprise?), and necessary partnerships (perhaps needing

content providers or hardware partners). This holistic view helps prevent tunnel vision on

product features alone.

A noteworthy extension of the Business Model Canvas is the Lean Canvas, proposed by Ash

Maurya (2012), which modifies the BMC for startup contexts by emphasizing problems,

solutions, key metrics, and an “unfair advantage” (competitive edge). The Lean Canvas is tailored

to extremely uncertain, early-stage ventures focusing on identifying core assumptions and

validating them. However, Osterwalder’s original Canvas remains widely used for both new and

established businesses. Many large companies use the Business Model Canvas during strategy

reviews or innovation programs to conceptualize new product lines or to visualize how digital

transformation could alter their business model (Bock & George, 2018). It’s not uncommon for

an innovation team in a corporation to map out the business model of a disruptive competitor

on a canvas to better understand how to respond or to design a new model for themselves on

the canvas when incubating a new corporate venture.

Overall, the Business Model Canvas has become an indispensable framework in modern business

modeling. It complements traditional analytical tools by focusing on the design and logic of the

business itself, rather than just analysis of external factors. By making business models tangible

and easy to manipulate on paper (or a screen), it enables better strategic conversations and

alignment – ensuring that when a new project is launched or a new strategy is pursued, there is

a clear, shared understanding of how the business intends to deliver value and make money.

This clarity greatly aids project teams as well, since projects can then be defined and executed

in alignment with the envisioned business model.

3.4. Lean Startup Models

Traditional business planning often assumed that one could write a detailed business plan and

then execute it to predictably achieve success, but high failure rates of startups have shown the

need for a more exploratory approach. Lean Startup methodology, popularized by Eric Ries in his

2011 book The Lean Startup, is a modern framework for developing new business models

(especially under conditions of high uncertainty) through rapid experimentation and iterative

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learning (Ries, 2011). The lean startup model applies the principles of Lean (waste reduction and

value focus, as described earlier) to the process of innovation itself, aiming to eliminate waste in

the form of time and capital spent on building products or features that customers don’t want.

It has deeply influenced how entrepreneurs and innovative corporate teams approach the

launch of new products and businesses.

At the heart of the lean startup approach is the Build-Measure-Learn feedback loop (Ries, 2011).

Instead of executing a fixed plan, entrepreneurs start by articulating the hypotheses underlying

their business idea (often using a tool like the Business Model Canvas to outline assumptions

about customer segments, value propositions, revenue model, etc.). They then quickly build a

Minimum Viable Product (MVP) – the simplest version of the product that can test a key

hypothesis – and release it to real users to measure their response. By gathering data and

feedback (quantitative metrics, customer interviews, usage patterns), the startup “learns”

whether the hypothesis is validated or not. Based on what is learned, the team can then iterate

(refine the product and test again) or pivot (make a more fundamental change to some element

of the business model) (Blank, 2013). A pivot is essentially a structured course correction – for

example, changing the target customer segment, the pricing model, or even the core product

offering – in light of evidence that the current path will not lead to a sustainable business (Blank,

2013).

This approach stands in contrast to the traditional big upfront design. Rather than spending

months or years perfecting a product or writing a 100-page business plan before launch (only to

possibly discover that customers don’t need or like it), lean startups strive to get something in

front of customers as early as possible. Steve Blank, whose work on customer development was

foundational to lean startup thinking, famously advises entrepreneurs to “get out of the

building” – meaning to test assumptions in the real world with real customers rather than relying

solely on theoretical plans (Blank, 2013). One celebrated example is Dropbox: before coding their

full product, the founders created a simple video demonstrating how the file synchronization

would work. This video MVP went viral and attracted thousands of email sign-ups from

interested users, effectively validating strong demand for the concept before a line of production

code was written (Ries, 2011). That early validation guided Dropbox’s development and gave

confidence to investors, illustrating lean startup principles in action – identify the riskiest

assumption (in Dropbox’s case, that people really wanted easy file syncing and would trust a

cloud service to do it), then test it quickly and cheaply.

Lean startup methodology has given rise to practices like A/B testing (comparing two variants to

see which one users prefer), continuous deployment (rapidly releasing small updates to software

whenever ready), and innovation accounting (using metrics suited to startups, such as cohort

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analyses and lifetime value, rather than traditional accounting metrics) (Ries, 2011). These

practices align closely with Agile project management techniques – in fact, lean startups typically

use Agile development to build their MVPs iteratively and quickly. The difference is one of scope:

Agile project management often assumes you’re building a known product in an efficient way,

whereas Lean Startup questions what the right product is in the first place. Thus, lean startup

and agile methods are frequently used together: Agile to execute efficiently toward a short-term

goal, and lean startup thinking to decide what that goal should be via validated learning.

The lean startup model has now been adopted not only by entrepreneurs in garages but also by

large companies seeking to spur innovation. Corporations have launched internal incubators and

“lean startup” initiatives to test new business ideas on a small scale before committing big

budgets (Blank, 2013). General Electric’s FastWorks program, for example, applied lean startup

principles to develop new products more quickly within a huge organization by empowering

small teams to experiment and pivot (Edison et al., 2018). The approach helps in de-risking

innovation projects: by the time a project scales up, much of the market risk has been mitigated

through earlier experiments. However, implementing lean startup practices in a corporate

context can be challenging due to cultural differences. Existing processes for funding,

contracting, and project evaluation in firms are often geared toward certainty and detailed

upfront analysis – essentially the opposite of “hypothesis-testing” mode. Many companies have

had to create sandbox environments or special project pipelines to allow lean startup teams to

operate with more flexibility, and they must train managers to read new types of metrics (like

learning metrics) instead of traditional ROI projections (Edison et al., 2018).

Lean startup thinking has also influenced the way business models are taught and

conceptualized. It emphasizes that a startup is not a smaller version of a big company, but a

temporary organization in search of a repeatable and scalable business model (Blank, 2013).

Therefore, the process of startup success is not straightforward execution but rather a search

and discovery process. This has strategic implications: early-stage ventures (or new corporate

ventures) should be managed with an exploratory, adaptive approach rather than a rigid long-

term project plan. Even in project management terms, this means using iterative, discovery-

driven project structures (small experiments, short development cycles) rather than large

waterfall projects for new innovations.

In summary, the lean startup model offers a framework for business modeling that is grounded

in experimentation and agility. It complements and extends tools like the Business Model Canvas

by providing a methodology to validate each part of a business model under real market

conditions. For project managers, especially those involved in product development or

innovation projects, adopting lean startup principles can lead to more successful outcomes:

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delivering products that actually meet customer needs, avoiding large, wasted investments, and

being able to change course quickly when evidence dictates. As the pace of technological and

market change accelerates in the digital age, lean startup models have become increasingly

relevant for organizations striving to remain innovative and responsive.

3.5. Digital Business Models

The advent of the internet and digital technologies has led to the rise of digital business models

that often break the mold of traditional industry logic. In a digital business model, value creation,

delivery, and capture are fundamentally enabled or mediated by digital tools, leading to new

patterns of operating and competing. Classic examples include platform-based models,

subscription models, freemium models, and various “X-as-a-Service” models that have

proliferated in the digital economy (Parker et al., 2016).

One prominent category is the platform business model (also known as a multi-sided platform

or marketplace model). Companies like Uber, Airbnb, Amazon Marketplace, and Facebook

operate platforms that connect two or more interdependent groups (e.g., drivers and riders,

hosts and guests, buyers and sellers, users and advertisers) and facilitate interactions or

transactions between them (Parker et al., 2016). The platform itself may not produce a tangible

product or service in the traditional sense; instead, its value lies in enabling exchanges and

harnessing network effects – the phenomenon where the platform’s value to each user increases

as more users join (Parker et al., 2016). Platform models can upend Porter’s Five Forces

dynamics: they often create high barriers to entry once a platform achieves critical mass (new

entrants struggle unless they find a niche or drastically better approach), and the notions of

“suppliers” and “buyers” in the traditional sense are transformed (users often play dual roles,

and the platform owner orchestrates the ecosystem). The strategic focus in platform models is

often on growth and user engagement over short-term monetization, because achieving scale

can lead to winner-takes-all outcomes in many digital markets (Cusumano et al., 2019). For

example, Facebook and other social networks prioritized expanding their user base and

engagement, thereby dominating the market, before turning to aggressive monetization via

advertising.

Another common digital model is the subscription model, which has exploded particularly in

software (software-as-a-service, or SaaS) and media (streaming services). Companies like Netflix,

Spotify, and Salesforce deliver continuous value (movies on-demand, music streaming, cloud

software) in exchange for a recurring subscription fee rather than a one-time product sale. This

model provides predictable revenue streams and often leverages digital distribution to reach

customers globally with low marginal cost. A key to success in subscription models is high

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customer retention (minimizing churn), which has shifted business emphasis toward ongoing

customer satisfaction and engagement. Metrics like monthly recurring revenue (MRR), customer

acquisition cost (CAC), and customer lifetime value (LTV) become crucial in managing such

businesses. Strategically, subscription models encourage companies to keep improving their

service to justify renewals – for instance, Netflix continuously invests in new content and

recommendation algorithms to keep subscribers engaged.

Freemium is a variant often seen in digital services where a basic product is offered free of

charge, while advanced features or services are available for a fee. This model, used by

companies like LinkedIn, Dropbox, or many mobile apps, relies on attracting a large user base

with the free offering, then converting a small portion of users to paid premium accounts. The

free tier serves as both marketing and a way to achieve network effects (especially if user-to-

user interaction adds value, as in LinkedIn’s case), while the premium tier generates revenue.

This model has unique dynamics: the company must balance what to include in the free offering

to entice users but reserve enough value in the paid offering to incentivize upgrades. It also

means the cost structure must support potentially millions of free users – often monetized

indirectly via advertising or data – sustained by the minority of paying users. For instance, only

a few percent of Dropbox’s users pay for extra storage, but that’s enough to sustain the service

for everyone because the marginal cost of serving an extra free user is low in the cloud, and the

paying users provide the revenue (Ries, 2011).

Digital transformation has also enabled traditional companies to adopt new business models.

Manufacturers are adding IoT (Internet of Things) capabilities to products and moving to

outcome-based models (selling a service outcome rather than a product itself). Rolls-Royce’s

“Power by the Hour” is a famous case: instead of selling jet engines, they offer airlines a service

where they pay per hour of engine operation, with Rolls-Royce retaining ownership of the

engines and handling maintenance (Baines et al., 2017). This effectively turns a product sale into

a long-term service subscription, aligning the incentives of provider and customer (the

manufacturer is motivated to minimize downtime and maintenance costs since they only get

paid when the engine is running). Such models are enabled by digital sensors and analytics that

allow the manufacturer to monitor performance and predict maintenance needs.

The digital era has also brought data-driven models where personal data or user engagement is

monetized through advertising or other means. Google and Facebook exemplify this model by

offering free services (search, social networking) to billions of users and generating revenue from

targeted advertising based on the data and attention those users provide. In these cases, users

are not paying customers but rather part of the product being sold to advertisers. This raises

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ethical and strategic issues around privacy and data security, and companies must carefully

manage user trust to sustain the model.

From a strategic alignment viewpoint, pursuing digital business models often requires changes

in how projects are executed. Digital initiatives typically favor agility and cross-functional teams.

For example, implementing a platform model might involve technology projects (building the

platform infrastructure), marketing projects (seeding the user base on both sides of the

platform), and ongoing analytics projects (to improve matching algorithms or user experience) –

all of which benefit from Agile, iterative approaches rather than big-bang launches. Many

companies find that their traditional project management approaches need to evolve to manage

continuous product evolution and ecosystem development inherent in digital models. Weill and

Woerner (2015) identify several archetypes of digital business models (such as omnichannel

businesses, platform providers, ecosystem drivers, etc.), and note that incumbent firms often

need to transform their portfolio of activities to fit these models. That transformation is

essentially carried out through a series of projects and programs (digital transformation

initiatives), which must be carefully aligned with the target business model (Bharadwaj et al.,

2013). It’s not just about implementing new technology; it’s about reconfiguring the business,

which demands coordination between strategy (business model design) and execution

(projects).

In summary, “digital business models” is a broad term encompassing a range of innovative ways

companies create and capture value using digital technology. Whether it’s a startup disrupting

an industry with a platform-based approach, or a long-standing company reinventing itself with

online subscriptions and data monetization, these models often emphasize scalability, network

effects, and leveraging information as a key asset. Business modeling frameworks like the

Business Model Canvas have been extended to these digital contexts, and new analytical tools

(like ecosystem mapping or platform strategy frameworks) have emerged to help design them.

For project managers and strategists, the rise of digital models means that traditional boundaries

between product development, IT projects, and strategy are blurring – developing a successful

platform or digital service requires simultaneous attention to technology, market dynamics, and

business economics. The case studies of companies like Uber, Netflix, or Apple’s App Store all

demonstrate how critical it is to manage the interplay of projects (e.g., software development,

partnerships, marketing campaigns) to build a cohesive digital business model. As such,

understanding digital business modeling is now a crucial part of the strategic toolkit,

complementing classic models like SWOT and Five Forces with new lenses focused on networks,

data, and dynamic ecosystems.

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4. Strategic Alignment of Business Modeling and Project Execution

4.1. Context

Effectively translating a business model or strategy into action requires tight alignment between

strategic planning and project execution. Business modeling defines what an organization aims

to do – its value propositions, target markets, and competitive approach – while project

management concerns how the organization will implement initiatives to realize those aims.

Without alignment, even well-run projects can fail to deliver real business value. As one observer

put it, projects can be completed “on time, on budget, to spec” and still be considered failures if

they do not address a true business need or strategic goal (Cabanis-Brewin, 2003).

4.2. Challenges in Alignment

A common challenge is the communication gap between strategists (executives, planners) and

implementers (project managers and teams). Strategic plans are sometimes devised by

leadership and not effectively communicated to those managing and executing projects

(Mintzberg, 1994). This leads to what Kaplan and Norton describe as strategies that are never

executed – indeed, scholars suggest that 90% of strategies fail to be implemented successfully

(Cabanis-Brewin, 2000). Contributing factors include:

• Poor Portfolio Management: Organizations may initiate projects on an ad-hoc basis (due

to pet initiatives or reactive demands) rather than through a systematic evaluation of

strategic fit. Without a clear line of sight from each project to specific strategic objectives,

resources can be spent on initiatives that offer little strategic value or conflict with higher

priorities (Dietrich & Lehtonen, 2005).

• Lack of Executive Sponsorship and Governance: If senior management does not actively

oversee and support a project portfolio aligned to strategy, projects can drift or compete

for resources in ways that don’t maximize strategic impact. PMI has identified lack of

executive support as a leading cause of project failure (PMI, 2015). Executives might set

high-level goals but not provide consistent guidance or decision-making to project teams,

resulting in misaligned decisions at the project level.

• Organizational Silos: In many organizations, strategy formulation and project execution

are handled by different groups with limited interaction. This can result in misaligned

priorities – for example, a strategy team might envision a bold new digital business

model, but individual projects within departments continue to optimize the old model.

Siloed communication makes it hard to coordinate multiple projects towards a common

strategic outcome.

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• Dynamic Environments: Strategic alignment is a moving target because strategies

themselves may need to change in response to external forces. If the organization shifts

its business model (say, pivoting to a direct-to-consumer approach or responding to a

disruptive competitor), ongoing projects might suddenly lose relevance or require re-

scoping. Managing change at the strategy level and propagating those changes through

project adjustments is complex. There can be organizational inertia – teams deeply

invested in current projects may resist redirection or cancellation even when strategic

necessity dictates it (Daniel et al., 2014).

• Inappropriate Methodologies: Sometimes misalignment arises from using the wrong

project management approach for a given strategy. For instance, a company pursuing a

strategy of rapid innovation and customer experimentation might inadvertently stifle

progress if it forces all projects to follow a rigid waterfall process; conversely, a company

in a high-compliance industry might risk strategic failure by executing projects in a too-

chaotic fashion without enough controls. Selecting and tailoring methodologies to fit

strategic intent (speed to market, reliability, customer intimacy, etc.) is itself a challenge.

4.3. Best Practices for Alignment

Organizations that excel in strategic alignment tend to implement several best practices:

• Project Portfolio Management (PPM): This is a disciplined approach to selecting and

managing all projects as a portfolio that directly supports the organization’s strategy.

Through PPM, each project is evaluated for its expected contribution to strategic

objectives, and projects are prioritized accordingly (Archer & Ghasemzadeh, 1999). Low-

value or misaligned projects can be deferred or terminated, and resources are

reallocated to initiatives with high strategic impact. Governance bodies like portfolio

review boards, often chaired by senior executives, regularly review project proposals and

progress with an eye to strategic alignment.

• Balanced Scorecard and Strategy Cascading: Tools like the Balanced Scorecard translate

high-level strategy into specific, measurable objectives across perspectives (financial,

customer, internal process, learning & growth) and identify strategic initiatives (projects

and programs) needed to achieve those objectives (Kaplan & Norton, 1996). By explicitly

linking projects to strategic goals via such frameworks, organizations create a line-of-

sight for project teams: project success is measured not just by traditional metrics but by

contribution to strategic outcomes. Kaplan and Norton (2001) note that once companies

started treating strategic initiatives (projects) as part of their strategy management

process (through the Balanced Scorecard), they saw improved rates of strategy

execution.

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• Executive Sponsorship and Stakeholder Engagement: Ensuring every strategic project

has a clearly identified executive sponsor who is accountable for the project’s alignment

and benefits helps keep projects on track toward business results (Shenhar et al., 2007).

The sponsor champions the project’s strategic importance, secures necessary resources,

and helps resolve high-level issues or scope changes. Additionally, engaging key

stakeholders (end users, customers, operational departments) from the start of a project

ensures that execution remains aligned with the intended business model and that there

will be ownership of the project deliverables when it’s time to realize benefits.

• Benefits Realization Management: Leading organizations extend project management

to include explicit benefits realization processes – actively planning for, monitoring, and

ensuring that the outcomes of projects translate into the desired business benefits (PMI,

2016). This might involve defining benefit metrics at the start (e.g., expected revenue

increase, cost savings, customer satisfaction scores), assigning owners to each benefit,

and checking in post-project to see if benefits materialize. If a project’s product is

delivered but the benefits are lagging, organizations will analyze why – perhaps

additional changes are needed, or adoption is low – and take corrective action. This focus

keeps the attention on strategic value, not just project outputs.

• Adaptive Strategy and Agile Execution: In today’s fast-changing environment, alignment

is not a one-time task but an ongoing process. Successful organizations adopt an adaptive

strategy approach: they revisit and revise strategies more frequently and use agile

project management to execute in shorter cycles, allowing adjustments. This means

strategy and execution are in constant dialogue – projects are structured in phases or

sprints that allow course corrections if strategic priorities or external conditions change

(McGrath, 2013). For example, tech companies like Google or Amazon are known for

continuously updating their strategic initiatives and reallocating project teams to new

priorities as needed, effectively treating strategy execution as a dynamic, agile portfolio

rather than a static plan.

• Cultural Alignment and Change Management: Aligning projects with business models

often requires cultural and organizational change. Companies known for strategic agility

invest in building a culture where everyone understands the high-level strategy and how

their work contributes to it. Techniques include communicating a clear vision (Kotter,

1996), rewarding employees for contributing to strategic goals (not just local task

completion), and training project managers to think in business terms. When project

teams internalize the business model and strategic objectives, they make day-to-day

decisions that support alignment even without top-down directives. Additionally,

employing change management practices for major strategic shifts (such as entering a

new digital business model) will help align the organization’s structure and processes

(and thus its projects) with the new direction.

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4.4. These Practices Pay Off

Research by the Project Management Institute finds that organizations with high alignment of

projects to strategy have significantly better project performance outcomes. In aligned

organizations, more projects meet their original goals and business intent, and fewer projects

are deemed failures, compared to organizations with poor alignment (PMI, 2017). In fact, one

PMI study reported that strategically aligned projects were 57% more likely to achieve their

business goals and 50% more likely to finish on time (PMI, 2014). The message is clear: strategic

alignment is not just a management ideal, but a practical necessity for maximizing the return on

project investments.

In conclusion on this point, bridging business modeling and project execution is challenging in

practice, but organizations that master this alignment gain a significant competitive edge. They

are able to respond to changes in the business environment more effectively because their

project execution engine is closely tuned to their strategic priorities. Every project, whether it’s

implementing a new IT system or launching a product, is conceived and executed as a piece of a

larger strategic puzzle. This ensures that when projects deliver outputs, those outputs translate

into outcomes that drive the business model forward. In the end, the purpose of both good

strategy and good project management is to deliver value; by aligning the two, companies can

significantly increase the likelihood that they deliver the right value in the right way.

5. Conclusion

5.1. Summary of Key Findings

This study has explored the complementary relationship between project management

methodologies and business modeling frameworks, demonstrating that alignment between the

two is essential for successful strategic execution. It identified and compared traditional and

modern project management approaches—including Waterfall, PRINCE2, Agile, Scrum, Lean,

and Kanban—and paired these with strategic frameworks such as SWOT, Porter’s Five Forces,

the Business Model Canvas, Lean Startup, and digital platform models. Empirical evidence and

case studies consistently show that organizations that strategically align their project execution

processes with their underlying business models enjoy improved project outcomes, greater

agility, and more sustainable competitive advantage (Kaplan & Norton, 2001; Serrador & Pinto,

2015).

5.2. Implications for Theory and Practice

From a theoretical perspective, the paper contributes to the growing body of knowledge linking

project management and strategic management by offering a framework for their integration.

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Practically, it highlights the importance of tailoring project approaches to the nature of the

business model and strategic objectives. This has implications for project managers, executives,

and innovation leaders who must select and adapt methodologies not just based on technical

needs, but also on strategic fit. For example, Lean Startup principles are best complemented by

Agile or hybrid project management models, while compliance-heavy strategies may require

PRINCE2 or stage-gated frameworks.

5.3. Challenges and Limitations

While integration of strategy and project management offers clear benefits, several challenges

remain. These include organizational silos, inconsistent executive sponsorship, inadequate

portfolio governance, and cultural resistance to methodological change. Furthermore, the study

is limited by its reliance on secondary case data and theoretical synthesis. Future research could

benefit from longitudinal case studies, empirical testing of alignment frameworks, or industry-

specific adaptations of integrated models.

5.4. Directions for Future Research

There is a growing need for empirical studies that quantitatively assess the impact of strategic

alignment on project and business performance across industries. Future research could also

examine how emerging technologies—such as artificial intelligence, machine learning, and

predictive analytics—may reshape the intersection of business modeling and project execution.

Additionally, further inquiry into hybrid methodological frameworks and their application in

dynamic environments (e.g., digital transformation, sustainability initiatives) would offer

valuable insights for both scholars and practitioners.

5.5. Final Remarks

In an era characterized by volatility, complexity, and rapid innovation, organizations cannot

afford to treat strategy and execution as separate spheres. This paper reinforces the view that

business models and project methodologies must co-evolve to remain relevant and effective.

Strategic alignment, driven by integrated thinking and adaptive practices, is not merely an

ideal—it is a strategic imperative for sustained success.

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References

Ahmad, M. O., Markkula, J., & Oivo, M. (2013). Kanban in software development: A systematic

literature review. Software Engineering and Advanced Applications (SEAA), 2013 39th

EUROMICRO Conference on, 9–16.

Archer, N. P., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio

selection. International Journal of Project Management, 17(4), 207–216.

AXELOS. (2017). Managing Successful Projects with PRINCE2 (6th ed.). London: The Stationery

Office.

Baines, T., Lightfoot, H., & Smart, P. (2017). Servitization within manufacturing: Exploring the

provision of advanced services and their impact on vertical integration. Journal of

Manufacturing Technology Management, 28(1), 104–124.

Ballard, G. (2000). The Last Planner System of Production Control. Proceedings of the 9th

Annual Conference of the International Group for Lean Construction.

Ballard, G., & Howell, G. (2003). Lean project management. Building Research & Information,

31(2), 119–133.

Beck, K., Beedle, M., van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., ... &

Thomas, D. (2001). Manifesto for Agile Software Development. Retrieved from

agilemanifesto.org.

Bentley, C. (2010). Prince2 for Dummies. Chichester, UK: Wiley.

Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy:

Toward a next generation of insights. MIS Quarterly, 37(2), 471–482.

Blank, S. (2013). Why the Lean Start-Up changes everything. Harvard Business Review, 91(5),

63–72.

Boehm, B. (1988). A spiral model of software development and enhancement. Computer, 21(5),

61–72.

Bock, A. J., & George, G. (2018). The Business Model Book: Design, build and adapt business

ideas that drive business growth. London: Pearson.

Brandenburger, A., & Nalebuff, B. (1996). Co-opetition. New York: Currency Doubleday.

Cabanis-Brewin, J. (2000). Why Good Strategies Fail: Lessons for the C-Suite. Project

Management Best Practices Report, 2(9), 1–4.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

Cabanis-Brewin, J. (2003). Fooling with tools: Project management as if people mattered. PMI®

PM Network, Winter Special Issue, 4–7.

Charvat, J. (2003). Project Management Methodologies: Selecting, Implementing, and

Supporting Methodologies and Processes. Hoboken, NJ: John Wiley & Sons.

Cusumano, M. A., Gawer, A., & Yoffie, D. B. (2019). The Business of Platforms: Strategy in the

Age of Digital Competition, Innovation, and Power. New York: Harper Business.

Daniel, E. M., Ward, J. M., & Franken, A. (2014). A dynamic capabilities perspective of IS project

portfolio management. Journal of Strategic Information Systems, 23(2), 95–111.

Dietrich, P., & Lehtonen, P. (2005). Successful management of strategic intentions through

multiple projects – Reflections from empirical study. International Journal of Project

Management, 23(5), 386–391.

Doerr, J. (2018). Measure What Matters: How Google, Bono, and the Gates Foundation Rock

the World with OKRs. New York: Portfolio.

Dyson, R. G. (2004). Strategic development and SWOT analysis at the University of Warwick.

European Journal of Operational Research, 152(3), 631–640.

Edison, H., Wang, X., & Abrahamsson, P. (2018). Lean internal startups for software product

innovation in large companies: Enablers and inhibitors. Journal of Systems and Software, 135,

69–87.

Goldstein, H. (2005). Who killed the virtual case file? IEEE Spectrum, 42(9), 24–35.

Helms, M. M., & Nixon, J. (2010). Exploring SWOT analysis – where are we now? A review of

academic research from the last decade. Journal of Strategy and Management, 3(3), 215–251.

Highsmith, J. (2002). Agile Project Management: Creating Innovative Products. Boston:

Addison-Wesley.

Hill, T., & Westbrook, R. (1997). SWOT analysis: It’s time for a product recall. Long Range

Planning, 30(1), 46–52.

Johnson, M. W., Christensen, C. M., & Kagermann, H. (2008). Reinventing your business model.

Harvard Business Review, 86(12), 57–68.

Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action.

Boston: Harvard Business School Press.

Kaplan, R. S., & Norton, D. P. (2001). The Strategy-Focused Organization: How Balanced

Scorecard Companies Thrive in the New Business Environment. Boston: Harvard Business School

Press.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

Kerzner, H. (2017). Project Management: A Systems Approach to Planning, Scheduling, and

Controlling (12th ed.). Hoboken, NJ: John Wiley & Sons.

Kotter, J. P. (1996). Leading Change. Boston: Harvard Business School Press.

Liker, J. K. (2004). The Toyota Way: 14 Management Principles from the World's Greatest

Manufacturer. New York: McGraw-Hill.

Maurya, A. (2012). Running Lean: Iterate from Plan A to a Plan That Works. Sebastopol, CA:

O’Reilly Media.

McGrath, R. G. (2013). The End of Competitive Advantage: How to Keep Your Strategy Moving

as Fast as Your Business. Boston: Harvard Business Review Press.

Mintzberg, H. (1994). The Rise and Fall of Strategic Planning. New York: Free Press.

Office of Government Commerce (OGC). (2009). Managing Successful Projects with PRINCE2

(5th ed.). London: The Stationery Office.

Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production. New York:

Productivity Press.

Osterwalder, A., & Pigneur, Y. (2010). Business Model Generation: A Handbook for Visionaries,

Game Changers, and Challengers. Hoboken, NJ: John Wiley & Sons.

Parker, G., Van Alstyne, M., & Choudary, S. (2016). Platform Revolution: How Networked

Markets are Transforming the Economy and How to Make Them Work for You. New York: W.

W. Norton.

Project Management Institute (PMI). (2014). Pulse of the Profession® 2014: The High Cost of

Low Performance. Newtown Square, PA: PMI.

Project Management Institute (PMI). (2015). Capturing the Value of Project Management:

PMI’s Pulse of the Profession 2015. Newtown Square, PA: PMI.

Project Management Institute (PMI). (2016). Delivering Value: Focus on Benefits During Project

Execution (Pulse of the Profession® In-Depth Report). Newtown Square, PA: PMI.

Project Management Institute (PMI). (2017). Success Rates Rise: Transforming the High Cost of

Low Performance (Pulse of the Profession® 2017). Newtown Square, PA: PMI.

Pollack, J., & Crawford, L. (2005). Assessing the impact of project management maturity on

project performance. International Journal of Project Management, 23(5), 431–436.

Porter, M. E. (1979). How competitive forces shape strategy. Harvard Business Review, 57(2),

137–145.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard Business Review,

86(1), 78–93.

Poppendieck, M., & Poppendieck, T. (2003). Lean Software Development: An Agile Toolkit.

Boston: Addison-Wesley.

Rigby, D. K., Sutherland, J., & Takeuchi, H. (2016). Embracing Agile. Harvard Business Review,

94(5), 40–50.

Ries, E. (2011). The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to

Create Radically Successful Businesses. New York: Crown Business.

Rother, M., & Shook, J. (1999). Learning to See: Value Stream Mapping to Add Value and

Eliminate Muda. Cambridge, MA: Lean Enterprise Institute.

Royce, W. W. (1970). Managing the development of large software systems. Proceedings of

IEEE WESCON 1970, 328–388.

Schwaber, K. (2004). Agile Project Management with Scrum. Redmond, WA: Microsoft Press.

Schwaber, K., & Sutherland, J. (2020). The Scrum Guide: The Definitive Guide to Scrum: The

Rules of the Game. ScrumGuides.org.

Serrador, P., & Pinto, J. K. (2015). Does Agile work? A quantitative analysis of agile project

success. Project Management Journal, 46(6), 39–51.

Shenhar, A. J., Dvir, D., Levy, O., & Maltz, A. (2007). Project success: A multidimensional

strategic concept. Long Range Planning, 40(2), 34–53.

Standish Group. (2015). CHAOS Report 2015. Boston: The Standish Group International.

Takeuchi, H., & Nonaka, I. (1986). The new new product development game. Harvard Business

Review, 64(1), 137–146.

Weill, P., & Woerner, S. (2015). Thriving in an increasingly digital ecosystem. MIT Sloan

Management Review, 56(4), 27–34.

Wilcox, M. (2017). PRINCE2 Agile. Axelos/TSO (The Stationery Office), London.

Womack, J. P., Jones, D. T., & Roos, D. (1990). The Machine That Changed the World. New York:

Rawson.

Womack, J. P., & Jones, D. T. (1996). Lean Thinking: Banish Waste and Create Wealth in Your

Corporation. New York: Simon & Schuster.

PM World Journal (ISSN: 2330-4480) Project Management and Business Modeling

Vol. XIV, Issue V – May 2025 by Prof. Dr. M.F. HARAKE

www.pmworldjournal.com Featured Paper

About the Author

Prof. Dr. M. F. HARAKE

Poitiers, France

Prof. Dr. M. F. HARAKE is a management Professor based in France. He is currently affiliated

with CEREGE Research Laboratory at the University of Poitiers (France), and a visiting research

fellow at CABMR Research Center (Paris – France). He is also an Honorary Academic Advisor and

Research Scholar for the PM Library (Texas – USA). His research interests include Post-Conflict

Public Management, Crisis and Urgent Operations Management, Humanitarian Logistics, and

Project Management in Unstable Environments.

He can be contacted at mohamed.fadl.harake@univ-poitiers.fr

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Project Management and Business Modeling: Methodologies, Frameworks, and Strategic Alignment PDF Free Download

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