Dr David Bozward

Tag: value creation

  • Beyond the Bake Sale: Reimagining University-Industry Partnerships for Genuine Impact

    Title: Reimagining the University-Industry Partnership: A New Model for Impact

    There’s a certain quaintness to the traditional image of university-industry partnerships. Think career fairs, bake sales to fund student projects, perhaps a guest lecture from an industry leader. These are valuable initiatives, certainly, but they often feel like peripheral activities – a polite nod towards the ‘real world’ rather than a fundamental shift in how universities operate.

    I’m not dismissing these efforts, mind you. I’ve participated in them myself, organizing career workshops and facilitating industry mentorship programmes. But after years of observing these interactions from both sides – as an academic deeply invested in research and a consultant advising businesses – I’m convinced that we need to fundamentally reimagine the university-industry partnership. We need a model that moves beyond simple transactional exchanges and embraces genuine collaboration, one that prioritizes shared value creation over short-term gains.

    I’m not suggesting a radical overhaul, but rather a subtle recalibration – a shift in mindset that recognizes the inherent strengths of both institutions and leverages them to address complex societal challenges. It’s a vision born from witnessing firsthand the frustrating disconnect between academic research and real-world application, and fueled by a deep conviction that universities have a crucial role to play in driving innovation, productivity and economic growth.

    The Current Landscape: A History of Missed Opportunities

    Let’s be honest, the current landscape is often characterized by a degree of mutual skepticism. Universities are perceived as ivory towers, disconnected from the practical needs of businesses. Businesses, in turn, view universities as slow-moving bureaucracies, resistant to change and unwilling to commercialize their research.

    This isn’t entirely unwarranted. The traditional model often prioritizes academic publications over practical impact, incentivizing researchers to publish in high-impact (don’t get me started on those) journals rather than seeking solutions to today’s real-world problems. The intellectual property landscape can be a minefield, with complex licensing agreements and conflicting interests hindering commercialization efforts. And let’s not forget the inherent cultural differences – the academic emphasis on rigorous peer review clashes with the business imperative for rapid iteration and market validation.

    I recall one particularly frustrating experience advising a medtech startup that was struggling to secure funding for a promising new intervention. The university’s technology transfer office, while well-intentioned, was bogged down in lengthy negotiations with potential investors, delaying the project and ultimately jeopardizing its future. It was a stark reminder that good intentions alone aren’t enough; we need streamlined processes, clear incentives, and a shared commitment to driving impact.

    A New Model: Shared Value Creation at the Core, Grounded in Experiential Learning

    My vision for a reimagined university-industry partnership centres on the concept of shared value creation (The central premise of enterprise creation). It’s about moving beyond transactional exchanges and fostering deep, collaborative relationships that benefit both institutions and society as a whole. Crucially, this requires embedding experiential learning at the heart of our approach. Tools like SimVenture, for instance, offer unparalleled opportunities for students to grapple with real-world business challenges in a safe and engaging environment. Imagine undergraduate teams developing strategic plans for simulated companies, making investment decisions, navigating market fluctuations – all while receiving mentorship from industry professionals. This isn’s just theoretical learning; it’s applied knowledge, forged in the crucible of simulated experience.

    Key Pillars of a Collaborative Future:

    Here are some concrete steps we can take to build this collaborative future:

    1. Embedded Industry Fellows: Imagine a programme where experienced industry professionals are embedded at the same level, within university departments, working alongside faculty and students on real-world projects. These fellows would bring valuable insights into market needs, provide mentorship to aspiring entrepreneurs, and help bridge the gap between academic research and commercial application.
    2. Challenge-Driven Research: Instead of pursuing research topics in isolation, universities should actively solicit challenges from businesses and policymakers. This would ensure that our research is aligned with real-world needs, increasing its relevance and impact.
    3. Flexible Intellectual Property Frameworks: We need to move away from rigid, one-size-fits-all intellectual property frameworks and embrace more flexible models that encourage collaboration and innovation.
    4. Cross-Disciplinary Innovation Hubs: Universities should establish cross-disciplinary innovation hubs that bring together faculty, students, and industry partners from diverse fields to tackle complex challenges.
    5. Data-Driven Impact Assessment: We need to develop robust data-driven impact assessment frameworks that measure the real-world benefits of our research.
    6. Robust Subcontractual Oversight: Recognizing that complex projects often involve subcontracting, universities must implement rigorous oversight mechanisms. As detailed in my work on this topic, clear contractual provisions, independent audits, and transparent reporting are essential to ensure accountability, mitigate risks, and safeguard the integrity of collaborative ventures. This includes establishing clear lines of responsibility for performance, quality control, and ethical conduct across all tiers of the project.

    The Role of Policy: Incentivizing Collaboration

    Government policy also has a crucial role to play in incentivizing collaboration between universities and businesses. This could involve providing tax breaks for companies that invest in university research, creating grant programmes that specifically target collaborative projects, and streamlining regulatory processes to facilitate commercialization.

    I remember advocating for a policy change in my own state that provided tax credits to companies that partnered with universities on research projects. The impact was immediate – we saw a surge in collaborative initiatives, leading to the creation of new businesses and high-paying jobs.

    Embracing Imperfection: A Journey, Not a Destination

    This isn’t about creating a utopian vision of perfect collaboration. It’s about acknowledging that the journey will be fraught with challenges, setbacks, and disagreements. There will be times when we stumble, make mistakes, and question our assumptions. But it’s through these experiences that we learn, adapt, and ultimately build a more effective partnership.

    As I reflect on my own experiences, I’m filled with a sense of optimism and hope. I believe that universities have a vital role to play in driving innovation, creating jobs, and addressing some of the world’s most pressing challenges. And I believe that by reimagining our partnerships with businesses, incorporating experiential learning tools like SimVentures and implementing robust subcontractual oversight, we can unlock a new era of shared value creation and lasting impact.

  • Bridging Academia and Consulting: My Journey in Entrepreneurial Impact

    Bridging Academia and Consulting: My Journey in Entrepreneurial Impact

    Introduction: The Dual Lens of Academia and Consulting

    As I sit at my desk in Worcester, England, surrounded by decades-old books on entrepreneurship and a whiteboard filled with frameworks for scaling startups, I can’t help but reflect on how my career has unfolded. Over the past 25 years, I’ve oscillated between academia and consulting—roles that at first glance might seem incompatible but, in reality, are deeply intertwined. My work spans university leadership, board governance, and advising governments on entrepreneurial ecosystems, all while publishing research that informs both sectors.

    This post is a candid exploration of my journey: how I built credibility as an academic while cultivating expertise as a consultant, and the lessons I’ve learned along the way. It’s also a guide to those navigating similar paths, blending scholarly rigor with the actionable insights that consultants thrive on.

    The Academic Foundation: Teaching, Research, and “Failing Forward”

    My academic roots began in engineering, a discipline that taught me to value precision and systems thinking—a mindset I’ve carried into entrepreneurship. In 2015, as Senior Lecturer and Course Leader for Entrepreneurship at the University of Worcester, I designed a BA in Entrepreneurship that combined theory with practice. (A paper reviewing this course is here) Students weren’t just learning about business models; they were building them, often in collaboration with local businesses.

    One pivotal moment came when I tried to integrate rural entrepreneurship into the curriculum at the Royal Agricultural University (RAU). I envisioned a programme where students could apply innovation to agricultural challenges, like sustainable food systems. But early attempts faltered—the disconnect between theoretical concepts and the practical needs of rural communities left me frustrated. I realized success required more than just syllabus design; it demanded partnerships with entreprenurial ecosystem: farmers, policymakers, and local startups.

    Tip #1: Build bridges between academia and industry early. My learning at the RAU led to a revised approach: co-creating curricula with stakeholders.

    The Consultant’s Edge: From Theory to Tangible Impact

    Consulting forced me to abandon the comfort of academic abstraction. When I became Director of Employability and Entrepreneurship at GBS in 2022, I faced a stark reality: over 15,000 students—many from disadvantaged backgrounds—needed support moving beyond academia into meaningful careers.

    The challenge was twofold: scaling services without diluting quality and addressing systemic barriers like poor English proficiency. My solution? A “staged competency approach,” rooted in my research, which tailored support to students’ readiness. We embedded employability into classroom curricula, paired struggling learners with language tutors, and built employer networks. The numbers? 2,639 new roles secured by students in one year—proof that frameworks matter when paired with execution.

    Tip #2: Turn research into action. My 9 Stages of Entrepreneurial Lifecycle model wasn’t born in a vacuum; it emerged from years watching startups succeed or fail. When consulting, use your research as a lens—but adapt it to the client’s reality.

    The Tension of Dual Roles: When Worlds Collide

    Balancing academia and consulting isn’t without friction. At Albion Business School, where I serve as a Board Trustee, I championed globalizing entrepreneurship education. Yet negotiating institutional bureaucracy to adopt innovative programmes tested my patience. Similarly, advising startups in mobile gaming (via dojit, a past venture) taught me that the academic rigor of “agile methodologies” must flex to suit corporate timelines.

    Emotional Insight: There were nights when I questioned whether my dual path was sustainable. My breakthrough? Embracing the dichotomy: academia lets me explore why entrepreneurship works; consulting forces me to answer how.

    Emerging Frontiers: Opportunities in EdTech, Policy, and Rural Innovation

    The future of entrepreneurial education is digital. While my work on open educational resources with Beijing Foreign Studies University showed promise, I’ve realized scalability requires more than just free content. Hybrid formats—like virtual incubators for African startups—could democratize access, especially in regions where universities are underfunded.

    As a Fellow of The Centre for Entrepreneurs, I’ve advised governments on startup programmes and rural innovation hubs. My takeaway? Policy should incentivize ecosystems, not just businesses—for example, tax breaks for universities collaborating with local SMEs.

    Tip #3: Advocate for systems change, not just individual success. My recent work in South Sudan reflects this philosophy: educating women isn’t about creating lone entrepreneurs but fostering an ecosystem where they can thrive.

    Practical Takeaways for Aspiring Academic/Consultants

    1. Leverage interdisciplinary expertise: My engineering background informs tech ventures, while my research on rural entrepreneurship shapes policy. Never dismiss a skill as irrelevant.
    2. Embrace “messy” collaboration: My EdTech projects with China and India succeeded because we allowed cultural nuances to shape outcomes—not the other way around.
    3. Measure what matters: When I assessed the impact of student startups, I shifted focus from mere business counts to metrics like job creation and community investment.

    Conclusion: The Power of Dual Vision

    Bridging academia and consulting isn’t just a career choice—it’s a lens. By wearing both hats, I’ve crafted frameworks that endure (my 9 Stages) and programmes that scale (at GBS). For newcomers, I urge you to resist silos: publish research and pitch it to boards; teach courses that align with industry trends.

    As I look toward the next chapter, I’m focused on expanding free education models in Africa and refining my digital toolkits. Will it be easy? No. But then again, neither was convincing a roomful of farmers in Cirencester that gaming startups could revolutionize agriculture.

    Final Thought: Your expertise has value in both ivory towers and boardrooms—use it to build bridges, not barriers.

  • From MVP to MVD: The Minimum Valuable Difference

    From MVP to MVD: The Minimum Valuable Difference

    Why startups should focus on meaning, not just minimalism

    In today’s startup world, speed to market is everything. Entrepreneurs are taught to ship fast, break things, test quickly, and get feedback. Enter the Minimum Viable Product (MVP)—a core concept from lean startup methodology that encourages launching the simplest version of a product to validate assumptions.

    The MVP is practical. It’s efficient. But here’s the problem:

    🚨 Too many MVPs forget about value.

    They prove an idea can technically work, but say little about whether it actually matters to the user.

    That’s why I believe it’s time for a shift in thinking—from MVP to MVD: the Minimum Valuable Difference.

    What is the MVD?

    The Minimum Valuable Difference is the smallest possible change, feature, or action you can introduce that delivers real, meaningful value to your target customer.

    It answers questions like:

    • What pain am I truly relieving?
    • What task am I genuinely simplifying?
    • What desire am I directly fulfilling?

    It’s not about what’s viable for you—it’s about what’s valuable to them.

    MVP vs. MVD: What’s the Difference?

    MVPMVD
    Tests feasibilityCreates meaningful impact
    Focuses on minimum productFocuses on minimum transformation
    Often prioritises speedPrioritises significance
    Asks “Can we build this?”Asks “Should we build this?”
    Measures engagementMeasures improvement or outcomes

    Why MVD Matters More Than Ever

    In a saturated digital world, users are overwhelmed by options. The market is flooded with viable products—but few of them make a real difference.

    🧠 A basic to-do list app? Been there.
    🧠 Another newsletter tool? Yawn.
    🧠 A photo filter that changes eye colour? Cool… for 5 seconds.

    What people remember—and keep using—are the tools and services that improve their lives in noticeable ways.

    Real-World Examples of MVD Thinking

    1. Calendly

    Their MVD? Eliminating the pain of back-and-forth emails for scheduling. That single, clear difference made users immediately say, “This is better.”

    2. Slack

    Slack didn’t launch with a full suite of integrations and channels. Its initial MVD was centralised team messaging that actually reduced internal email. That alone got teams hooked.

    3. Duolingo

    Rather than launch with hundreds of languages, Duolingo focused on one: Spanish. Its MVD was making language learning fun, gamified, and mobile-friendly—solving a problem that textbook apps didn’t.

    How to Build with MVD in Mind

    1. Find the Critical Friction Point
      What’s the single most frustrating or inefficient part of your user’s day? Start there.
    2. Go Deep, Not Wide
      Don’t try to solve every problem. Focus on one, and do it better than anyone else.
    3. Prototype for Value, Not Just Function
      Ask: “Does this improve someone’s situation in a tangible way?” If not, keep refining.
    4. Measure Real Outcomes
      Instead of tracking clicks or installs, look at retention, referrals, or behaviour change.

    What the Research Says

    Academic literature is increasingly supporting a value-first mindset in entrepreneurial design.

    “Entrepreneurial success lies not in the novelty of an idea, but in the significance of the solution.”
    – Fisher, 2012, Journal of Business Venturing

    And in the world of effectual entrepreneurship, co-creating value with early users—not just validating an MVP—is seen as the more sustainable approach.

    Final Thoughts: What Are You Really Offering?

    It’s easy to launch something. It’s harder to launch something that matters.

    So the next time you’re planning a product, prototype, or pitch—ask yourself:

    • Will this make someone’s life measurably better?
    • If it disappeared tomorrow, would anyone miss it?
    • Am I building for validation, or for value?

    Because in the end, traction doesn’t come from being viable—
    It comes from being valuable.

    Case Study: Calendly – From Simple Scheduling to a Minimum Valuable Difference

    Overview: A Tool to End Email Ping-Pong

    Calendly, founded by Tope Awotona in 2013, didn’t enter the world with an elaborate suite of scheduling features. Its early product was stripped down—yet laser-focused. What it did do, it did exceptionally well: eliminated the back-and-forth of scheduling meetings.

    Rather than testing if users would click a scheduling link (MVP logic), Calendly focused on delivering an immediate, meaningful outcome—saving users time and frustration. This wasn’t just a minimal product—it was a minimum valuable difference.

    The Problem

    Scheduling meetings is a universal pain point. Most professionals were stuck in endless email threads:

    • “Are you free Tuesday at 3pm?”
    • “No, how about Wednesday?”
    • “That doesn’t work for me, maybe next week?”

    This inefficient dance cost time and often resulted in dropped opportunities. Tools like Outlook and Google Calendar helped manage time, but not coordinate it between people.

    The Insight

    Tope Awotona’s insight wasn’t technical—it was human. He asked:

    “What’s the smallest thing I could build that would truly remove this pain?”

    The answer?
    A link that lets others pick from your available time slots.

    Not a calendar app.
    Not a meeting manager.
    Not an all-in-one productivity suite.

    Just a solution to the one thing that hurts the most: scheduling friction.

    Execution as MVD: The First Version of Calendly

    Calendly’s early product had:

    • Integration with your existing calendar (Google, Outlook)
    • A link with your available times
    • Automatic timezone detection
    • Confirmation emails

    That’s it.

    But these features, though minimal, delivered maximum difference. Users who tried it once saw the value immediately: no more email ping-pong. It felt like magic.

    Customer Response and Growth

    Calendly didn’t need fancy marketing. The product spread virally:

    • Sales teams shared it with clients
    • Recruiters shared it with candidates
    • Coaches and consultants added it to their email signature

    “The true power of Calendly was in its shareability—it solved a problem so simply that people naturally wanted to pass it along.”
    — TechCrunch, 2021

    Key Metrics That Reflect MVD Success

    • Over 20 million users by 2022
    • Used by 90% of Fortune 500 companies
    • $3 billion+ valuation (without raising early VC money)

    More telling than the numbers, however, was the retention. Users didn’t just try Calendly—they stuck with it. Why? Because it had created a daily improvement in their lives.

    Lessons for Entrepreneurs

    1. Focus on the Problem, Not the Product
      Calendly didn’t ask: “How do we build a scheduling app?”
      It asked: “How do we eliminate scheduling pain?”
    2. Make a Small But Clear Difference
      Instead of bloated features, aim for impact. What’s the one thing your user will thank you for?
    3. Deliver Emotional Relief
      The best products don’t just save time—they remove frustration. Calendly’s early adopters felt the difference immediately.
  • Creating Value-Driven Startups: Moving Beyond the MVP Hype

    Creating Value-Driven Startups: Moving Beyond the MVP Hype

    Why lean isn’t enough—and how value creation builds businesses that last

    In today’s startup culture, the Minimum Viable Product (MVP) has become something of a holy grail. Popularized by Eric Ries in The Lean Startup, the MVP is described as the simplest version of a product that can be released to test hypotheses and gain customer feedback. It’s fast, frugal, and focused.

    And yet, as someone who has worked with hundreds of startups and advised entrepreneurship programmes across sectors, I’m starting to ask:
    Have we gone too far with the MVP mindset?

    Too many founders are stuck shipping half-baked products, mistaking viability for value. They aim to “fail fast”—but often end up failing shallow.

    It’s time to move beyond MVP hype and refocus on something more enduring: creating real value.

    The MVP Trap: Fast But Fragile

    Don’t get me wrong—lean thinking has its place. It prevents founders from building in a vacuum and encourages rapid iteration. But over time, the MVP approach has been reduced to “launch anything quick and dirty” without a deeper reflection on long-term customer value.

    As academic research begins to show, this oversimplification has real consequences.

    “Lean startup methods can result in premature scaling if the learning process focuses on superficial feedback rather than deep value creation.”
    – Blank & Dorf (2012), The Startup Owner’s Manual

    In other words, just because something is “viable” doesn’t mean it’s meaningful. Without understanding the core value you’re delivering—and to whom—there’s a risk of building a product that works but doesn’t matter.

    Value Creation: The Real Driver of Lasting Businesses

    In contrast, value-driven startups focus on solving real problems for real people in ways that are desirable, feasible, and sustainable. This isn’t just about functionality—it’s about impact.

    As strategy scholar Michael Porter argues:

    “Competitive advantage is created and sustained when firms deliver greater value to customers or create comparable value at lower cost.”
    – Porter (1985), Competitive Advantage

    Value creation means understanding:

    • What your customer truly cares about
    • How your solution improves their life
    • Why your offer is better than alternatives

    This leads to stickier products, stronger word-of-mouth, and deeper emotional engagement—all of which support long-term growth.

    Examples of Value-Driven Startups That Went Beyond MVP

    1. Canva

    In my recent blog on Canva’s early days, we saw how co-founder Melanie Perkins identified a deep pain point: the complexity of design software for non-designers. Rather than simply launch a basic design tool, Canva focused on ease, speed, and beauty from day one.
    They delivered value—not just a viable product.

    2. Notion

    Notion didn’t release its first product until years after development. Why? Because it wasn’t just about launching an MVP—it was about creating a tool that people loved using every day. Their focus on elegance, simplicity, and modularity led to high retention and viral growth.

    3. Duolingo

    Instead of launching a barebones app to test assumptions, Duolingo obsessed over learning outcomes. They made language learning fun, gamified, and research-backed—leading to real user value and a product that has scaled globally with strong loyalty.

    Academic Perspectives on Value-First Innovation

    Value creation is increasingly seen as the central pillar of innovation in entrepreneurship literature. Sarasvathy’s concept of effectuation—a theory on how expert entrepreneurs operate—places strong emphasis on leveraging existing means to co-create value with stakeholders, rather than just validating hypotheses.

    “Entrepreneurs start with who they are, what they know, and whom they know… and interact with others to co-create opportunities.”
    – Sarasvathy (2001), Effectual Reasoning in Entrepreneurial Decision Making

    Likewise, Osterwalder’s Value Proposition Canvas has emerged as a tool that shifts attention from the MVP to customer gains and pains, helping entrepreneurs design products that are deeply aligned with user needs.

    From MVP to MVD: The Minimum Valuable Difference

    What if, instead of focusing on the Minimum Viable Product, we focused on the Minimum Valuable Difference?

    What is the smallest thing you can offer that makes a real difference in someone’s life or work? That’s where true traction starts.

    Value-driven startups don’t just ask, Can we build this?
    They ask:
    Should we build this? And will it truly help someone?

    Final Thoughts: Redefining Startup Success

    MVPs can get you started—but only value creation keeps you going.

    In a world where users are drowning in “viable” but soulless products, it’s the businesses that focus on deep, relevant, and transformational value that will stand the test of time.

    If you’re a founder, ask yourself:

    • What is the real outcome I’m enabling for my customer?
    • Am I focused on features, or on transformation?
    • Would anyone care if my product disappeared tomorrow?

    Only when the answer is “yes”—because of the value you create—should you launch.

    Want to build a value-driven business from day one?
    Join our upcoming session on “From Ideas to Impact” at Albion Business School, where we’ll explore the tools and mindsets to make your startup matter.