Further Reading — Chapter 33: Technology Luck

Foundational Books

Christensen, Clayton M. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press, 1997. The foundational text on why successful companies fail to navigate technology transitions. Christensen's analysis of disruptive vs. sustaining innovation explains the Kodak pattern in systematic detail. Essential reading for anyone trying to understand why incumbents consistently miss the technologies that eventually destroy them.

Rogers, Everett M. Diffusion of Innovations. 5th ed. Free Press, 2003. First published in 1962, now in its fifth edition, this is the foundational research on how technologies spread through populations. Rogers's S-curve model and the early adopter/early majority/late majority taxonomy remain the most empirically grounded framework for understanding technology adoption. Accessible without technical background.

Moore, Geoffrey A. Crossing the Chasm: Marketing and Selling Disruptive Products to Mainstream Customers. HarperBusiness, 1991; 3rd ed. 2014. Moore's analysis of the "chasm" between early adopters and mainstream customers builds on Rogers's work and provides one of the most practical frameworks for identifying where technology adoption stands. Particularly useful for the inflection point identification problem.

Brynjolfsson, Erik, and Andrew McAfee. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton, 2014. Comprehensive analysis of how digital technologies are transforming the economy, with strong treatment of why variance in outcomes expands during technology transitions. Chapter 9, on skill-biased technical change, is particularly relevant to the technology luck question.

Platform Strategy and Technology Economics

Parker, Geoffrey G., Marshall W. Van Alstyne, and Sangeet Paul Choudary. Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You. W. W. Norton, 2016. The most comprehensive academic-grounded treatment of platform economics. Explains why platform shifts create such dramatic opportunity windows, how network effects work, and what strategies enable successful platform participation. More technical than most business books but highly readable.

Shapiro, Carl, and Hal R. Varian. Information Rules: A Strategic Guide to the Network Economy. Harvard Business Review Press, 1998. A classic treatment of the economics of information technology, including lock-in, network effects, and switching costs. Provides the economic foundations for understanding why platform positions compound so powerfully.

First Mover Research

Suarez, Fernando F., and Gianvito Lanzolla. "The Half-Truth of First-Mover Advantage." Harvard Business Review, April 2005. The specific research cited in the chapter — a rigorous empirical analysis of when first-mover advantage is strong and when it is weak. Available through HBR.org. Essential reading for anyone who wants to think carefully about timing strategy.

Lieberman, Marvin B., and David B. Montgomery. "First-Mover Advantages." Strategic Management Journal 9, Special Issue (Summer 1988): 41–58. The foundational academic paper on first-mover advantage, which defined the research agenda. More technical than HBR articles but provides the empirical basis for the debate.

Golder, Peter N., and Gerard J. Tellis. "Pioneer Advantage: Marketing Logic or Marketing Legend?" Journal of Marketing Research 30, no. 2 (May 1993): 158–70. A counterpoint to first-mover optimism, showing that many celebrated "pioneers" were actually fast followers. Important corrective to the popular narrative.

AI and Current Technology Transitions

Daugherty, Paul R., and H. James Wilson. Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press, 2018. Strong treatment of the human-AI collaboration opportunity — the space where AI augments human capability rather than replacing it. Highly relevant to the chapter's discussion of human-AI workflow design as an opportunity area.

Marcus, Gary, and Ernest Davis. Rebooting AI: Building Artificial Intelligence We Can Trust. Pantheon, 2019. A critical perspective on AI that helps calibrate between hype and genuine inflection. Useful for developing the discernment needed to assess which AI claims represent real inflection signals and which are noise.

Mollick, Ethan. Co-Intelligence: Living and Working with AI. Portfolio, 2024. A practical and research-grounded guide to working with AI tools, with particular emphasis on how humans and AI systems can be most effectively combined. Directly relevant to the human-AI workflow design opportunity discussed in section 33.6.

Case Study: App Store and Mobile Platforms

Vogelstein, Fred. Dogfight: How Apple and Google Went to War and Started a Revolution. Sarah Crichton Books, 2013. Behind-the-scenes account of the smartphone revolution, including extensive coverage of the App Store launch and the early developer ecosystem. Provides rich context for the first case study.

Purewal, Sarah Jacobsson. "The Rise and Fall of the Great App Gold Rush." PC World, March 2014. Journalistic account of the App Store gold rush period with good granular detail about early developer wins and the window-closing dynamics. Freely available online.

Kodak and the Innovator's Dilemma

Lucas, Henry C., Jr., and Jie Mein Goh. "Disruptive Technology: How Kodak Missed the Digital Photography Revolution." The Journal of Strategic Information Systems 18, no. 1 (March 2009): 46–55. Academic analysis of Kodak's failure, using Christensen's framework. Provides empirical depth to the case study narrative.

Estrin, James. "Kodak's First Digital Moment." The New York Times Lens Blog, August 12, 2015. Steven Sasson's own account of inventing the digital camera and its reception at Kodak. Primary source for the 1975 invention narrative. Available at NYTimes.com.

Christensen, Clayton M., Michael E. Raynor, and Rory McDonald. "What Is Disruptive Innovation?" Harvard Business Review, December 2015. A refined and updated version of Christensen's original framework, clarifying common misconceptions about what counts as disruptive innovation. Useful for applying the concept precisely.

Picks and Shovels Strategy

Thiel, Peter, with Blake Masters. Zero to One: Notes on Startups, or How to Build the Future. Crown Business, 2014. Chapter 5, "Last Mover Advantage," is particularly relevant — Thiel's contrarian take on why last movers (who create monopolies in new markets) often outperform first movers. Provides a different angle on the timing debate.

Horowitz, Ben. The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers. HarperBusiness, 2014. Frank account of building infrastructure businesses during technology transitions. Relevant to understanding the picks-and-shovels strategy from inside the companies executing it.

For the Analytically Inclined

Gawer, Annabelle, and Michael A. Cusumano. Platform Leadership: How Intel, Microsoft, and Cisco Drive Industry Innovation. Harvard Business Review Press, 2002. Technical but accessible analysis of how platform companies structure their competitive advantages. Particularly useful for understanding the "picks and shovels at platform scale" model.

Rochet, Jean-Charles, and Jean Tirole. "Platform Competition in Two-Sided Markets." Journal of the European Economic Association 1, no. 4 (June 2003): 990–1029. The foundational academic paper on two-sided market economics — the theoretical underpinning for why platforms behave differently from traditional markets. Technical economics but the key ideas are accessible.