SEU Management Question.docx

(Mt) – SEU Management Question
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font Question: Please read chapter 9 “Protecting Innovation” from the book Strategic
Management of Technological Innovation. Based on the conceptual knowledge and
understanding obtained from the readings: 1 -Select a world-renowned company give a
brief introduction and identify the legal protection mechanisms (patents copyright,
trademarks & service marks) used by it to safeguard its innovations. (Max 750- Min 500
Words) 2 – What factors do you believe influenced the choice of protection mechanisms
used to safeguard its innovations? Do you think the strategy was a good choice? (Max 750 –
Min 500 Words) 3- With a thorough research of your selected company identify and explain
an incident when trade secrets were more useful than the legal protection measures
identified above. (Max 750 – Min 500 Words) • Use APA reference style. • All answered
must be typed using Times New Roman (size 12, double-spaced) font. No pictures
containing text will be accepted Assignment Question(s): Part 1 Examine each of the
following charts (Figures 1, and 2) and respond to the questions below: Figure 1 Figure 2
Source: General Authority of Statics 1. Evaluate each one in terms of: (500 word limit ) (a)
title descriptiveness, (b) focal points, (c) information sufficiency, (d) ease of processing, and
(e) takeaway message 2. Describe at least one effective aspect for each chart.( 100 – 200
word limit ) 3. Make two recommendation for improving them. ( 100 – 200 word limit ) Part
2 (8 Marks) Persuading University Students to Start a Saving Account 1. Assume the role of
a banker, create a message that targets university students and persuades them to start a
retirement account. ( 200 – 300 word limit ) 2. Which psychological tools of influence
(consistency, reciprocation, social proof, authority, liking, scarcity) did you use? Why? ( 100
– 200 word limit ) 3. Which kind of appeals did you use in this message? Would you
consider this message to be catering more to emotion or logic? Explain. ( 100 – 200 word
limit ) Persuading Human Resources Manager for Promotion 1. Assume the role of an
employee, create a message that targets the HR manger persuades him/her to promote you.
( 200 – 300 word limit ) 2. Which psychological tools of influence (consistency,

reciprocation, social proof, authority, liking, scarcity) did you use? Why? ( 100 – 200 word
limit ) Which kind of appeals did you use in this message? Would you consider this message
to be catering more to emotion or logic? Explain Strategic Management of Technological
Innovation Strategic Management of Technological Innovation Sixth Edition Melissa A.
Schilling New York University First Pages STRATEGIC MANAGEMENT OF TECHNOLOGICAL
INNOVATION Published by McGraw-Hill Education, 2 Penn Plaza, New York, NY 10121.
Copyright © 2020 by McGraw-Hill Education. All rights reserved. Printed in the United
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United States. This book is printed on acid-free paper. 1 2 3 4 5 6 7 8 9 LCR 21 20 19 ISBN
978-1-260-56579-9 MHID 1-260-56579-3 Cover Image: ©Shutterstock/iSam iSmile All
credits appearing on page or at the end of the book are considered to be an extension of the
copyright page. The Internet addresses listed in the text were accurate at the time of
publication. The inclusion of a website does not indicate an endorsement by the authors or
McGraw-Hill Education, and McGraw-Hill Education does not guarantee the accuracy of the
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12/04/18 11:25 AM About the Author Melissa A. Schilling, Ph.D. Melissa Schilling is the John
Herzog family professor of management and organizations at New York University’s Stern
School of Business. Professor Schilling teaches courses in strategic management, corporate
strategy and technology, and innovation management. Before joining NYU, she was an
Assistant Professor at -Boston -University (1997–2001), and has also served as a Visiting
Professor at INSEAD and the Bren School of Environmental Science & Management at the
University of California at Santa Barbara. She has also taught strategy and innovation
courses at Siemens -Corporation, IBM, the Kauffman Foundation Entrepreneurship Fellows
-program, Sogang University in Korea, and the Alta Scuola Polytecnica, a joint institution of
Politecnico di Milano and Politecnico di Torino. Professor Schilling’s research focuses on
technological innovation and knowledge creation. She has studied how technology shocks
influence collaboration activity and innovation outcomes, how firms fight technology
standards battles, and how firms utilize collaboration, protection, and timing of entry
strategies. She also studies how product designs and organizational structures migrate
toward or away from modularity. Her most recent work focuses on knowledge creation,
including how breadth of knowledge and search influences insight and learning, and how
the structure of knowledge networks influences their overall capacity for knowledge
creation. Her research in innovation and strategy has appeared in the leading academic
journals such as -Academy of Management Journal, Academy of Management Review,
Management Science, Organization Science, Strategic Management Journal, and Journal of
-Economics and Management Strategy and Research Policy. She also sits on the editorial
review boards of Academy of Management Journal, Academy of Management Discoveries,
Organization Science, Strategy Science, and Strategic Organization. She is the author of
Quirky: The Remarkable Story of the Traits, Foibles, and Genius of Breakthrough Innovators

Who Changed the World, and she is coauthor of Strategic Management: An Integrated
Approach. Professor Schilling won an NSF CAREER award in 2003, and Boston University’s
Broderick Prize for research in 2000. v Preface Innovation is a beautiful thing. It is a force
with both aesthetic and pragmatic appeal: It unleashes our creative spirit, opening our
minds to hitherto undreamed of possibilities, while accelerating economic growth and
providing advances in such crucial human endeavors as medicine, agriculture, and
education. For industrial organizations, the primary engines of innovation in the Western
world, innovation provides both exceptional opportunities and steep challenges. While
innovation is a powerful means of competitive differentiation, enabling firms to penetrate
new markets and achieve higher margins, it is also a competitive race that must be run with
speed, skill, and precision. It is not enough for a firm to be innovative—to be successful it
must innovate better than its competitors. As scholars and managers have raced to better
understand innovation, a wide range of work on the topic has emerged and flourished in
disciplines such as strategic management, organization theory, economics, marketing,
engineering, and sociology. This work has generated many insights about how innovation
affects the competitive dynamics of markets, how firms can strategically manage
innovation, and how firms can implement their innovation strategies to maximize their
likelihood of success. A great benefit of the dispersion of this literature across such diverse
domains of study is that many innovation topics have been examined from different angles.
However, this diversity also can pose integration challenges to both instructors and
students. This book seeks to integrate this wide body of work into a single coherent
strategic framework, attempting to provide coverage that is rigorous, inclusive, and
accessible. Organization of the Book The subject of innovation management is approached
here as a strategic process. The outline of the book is designed to mirror the strategic
management process used in most strategy textbooks, progressing from assessing the
competitive dynamics of the situation, to strategy formulation, and then to strategy
implementation. The first part of the book covers the foundations and implications of the
dynamics of innovation, helping managers and future managers better interpret their
technological environments and identify meaningful trends. The second part of the book
begins the process of crafting the firm’s strategic direction and formulating its innovation
strategy, including project selection, collaboration strategies, and strategies for protecting
the firm’s property rights. The third part of the book covers the process of implementing
innovation, including the implications of organization structure on innovation, the
management of new product development processes, the construction and management of
new product development teams, and crafting the firm’s deployment strategy. While the
book emphasizes practical applications and examples, it also provides systematic coverage
of the existing research and footnotes to guide further reading. Complete Coverage for Both
Business and Engineering Students vi This book is designed to be a primary text for courses
in the strategic management of innovation and new product development. Such courses are
frequently taught in both Preface vii business and engineering programs; thus, this book has
been written with the needs of business and engineering students in mind. For example,
Chapter Six (Defining the Organization’s Strategic Direction) provides basic strategic
analysis tools with which business students may already be familiar, but which may be

unfamiliar to engineering students. Similarly, some of the material in Chapter Eleven
(Managing the New Product Development Process) on computer-aided design or quality
function deployment may be review material for information system students or
engineering students, while being new to management students. Though the chapters are
designed to have an intuitive order to them, they are also designed to be self-standing so
instructors can pick and choose from them “buffet style” if they prefer. New for the Sixth
Edition This sixth edition of the text has been comprehensively revised to ensure that the
frameworks and tools are rigorous and comprehensive, the examples are fresh and exciting,
and the figures and cases represent the most current information available. Some changes
of particular note include: Six New Short Cases The Rise of “Clean Meat”. The new opening
case for Chapter Two is about the development of “clean meat”—meat grown from animal
cells without the animal itself. Traditional meat production methods are extremely resource
intensive and produce large amounts of greenhouse gases. Further, the growing demand for
meat indicated an impending “meat crisis” whereby not enough meat could be produced to
meet demand. “Clean meat” promised to enable meat production using a tiny fraction of the
energy, water, and land used for traditional meat production. Its production would create
negligible greenhouse gases, and the meat itself would have no antibiotics or steroids,
alleviating some of the health concerns of traditional meat consumption. Furthermore, it
would dramatically reduce animal suffering. If successful, it would be one of the largest
breakthroughs ever achieved in food production. Innovating in India: The Chotukool
Project. Chapter Three opens with a case about the Chotukool, a small, inexpensive, and
portable refrigerator developed in India. In rural India, as many as 90 percent of families
could not afford household appliances, did not have reliable access to electricity, and had no
means of refrigeration. Godrej and Boyce believed that finding a way to provide
refrigeration to this segment of the population offered the promise of both a huge market
and making a meaningful difference in people’s quality of life. UberAIR. Chapter Five now
opens with a case about UberAIR, Uber’s new service to provide air transport on demand.
Uber had already become synonymous with -on-demand car transport in most of the
Western world; it now believed it could develop the same service for air transport using
electric vertical take-off and landing aircraft (eVTOLs). There were a lot of pieces to this
puzzle, however. In addition to the technology of the aircraft, the service would require an
extensive network of landing pads, specially trained pilots (at least until autonomous
eVTOLs became practical), and dramatically new air traffic control regulations and
infrastructure. Was the time ripe for on-demand air transport, or was UberAIR ahead of its
time? viii Preface Tesla Inc. in 2018. Chapter Six opens with a new case on Tesla, no longer
just an electric vehicle company. This case reviews the rise of Tesla, and then explores the
new businesses Tesla has entered, including solar panel leasing and installation (Solar City),
solar roof production, and energy storage systems (e.g., Powerwall). Why did the company
move into these businesses, and would synergies betweeen them help to make the company
more successful? Where Should We Focus Our Innovation Efforts? An Exercise. Chapter
Seven now opens with an exercise that shows how firms can tease apart the dimensions of
value driving technological progress in an industry, map the marginal returns to further
investment on each dimension, and prioritize their innovation efforts. Using numerous

examples, the exercise helps managers realize where the breakthrough opportunities of the
future are likely to be, and where the firm may be currently overspending. Scrums, Sprints,
and Burnouts: Agile Development at Cisco Systems. Chapter Eleven opens with a case about
Cisco’s adoption of the agile development method now commonly used in software
development. The case explains what agile development is, how it differs from other
development methods (such as stage-gated methods), and when (and why) a firm would
choose agile development versus gated development for a particular innovation. Cases,
Data, and Examples from around the World Careful attention has been paid to ensure that
the text is global in its scope. The opening cases and examples feature companies from
China, India, Israel, Japan, The -Netherlands, Kenya, the United States, and more. Wherever
possible, statistics used in the text are based on worldwide data. More Comprehensive
Coverage and Focus on Current Innovation Trends In response to reviewer suggestions, the
new edition now provides an extensive discussion of modularity and platform competition,
crowdsourcing and customer -co-creation, agile development strategies, and more. The
suggested readings for each chapter have also been updated to identify some of the more
recent publications that have gained widespread attention in the topic area of each chapter.
Despite these additions, great effort has also been put into ensuring the book remains
concise—a feature that has proven popular with both instructors and students.
Supplements The teaching package for Strategic Management of Technological Innovation is
available online from Connect at connect.mheducation.com and includes: ∙ An instructor’s
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testbank with true/false, multiple choice, and short answer/short essay questions. ∙ A
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Jordan Cunningham, Eastern Washington University No surprises. The Connect Calendar
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Chapter 12 Quiz Chapter 11 Quiz Chapter 13 Evidence of Evolution Chapter 11 DNA
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and ask them to email accessibility@mheducation.com, or visit
www.mheducation.com/about/accessibility.html for more information. Acknowledgments
This book arose out of my research and teaching on technological innovation and new
product development over the last decade; however, it has been anything but a lone
endeavor. I owe much of the original inspiration of the book to Charles Hill, who helped to
ignite my initial interest in innovation, guided me in my research agenda, and ultimately
encouraged me to write this book. I am also very grateful to colleagues and friends such as
Rajshree Agarwal, Juan Alcacer, Rick Alden, William Baumol, Bruno Braga, Gino Cattanni,
Tom Davis, Sinziana Dorobantu, Gary Dushnitsky, Douglas Fulop, Raghu Garud, Deepak
Hegde, Hla Lifshitz, Tammy Madsen, Rodolfo Martinez, Goncalo Pacheco D’Almeida, Joost
Rietveld, Paul Shapiro, Jaspal Singh, Deepak Somaya, Bill Starbuck, Christopher Tucci, and
Andy Zynga for their suggestions, insights, and encouragement. I am grateful to director
Mike Ablassmeir and marketing manager Lisa Granger. I am also thankful to my editors,
Laura Hurst Spell and Diana Murphy, who have been so supportive and made this book
possible, and to the many reviewers whose suggestions have dramatically improved the
book: Joan Adams Baruch Business School (City University of New York) Shahzad Ansari
Erasmus University Deborah Dougherty Rutgers University Cathy A. Enz Cornell University
Rajaram B. Baliga Wake Forest University Robert Finklestein University of Maryland–
University College Sandy Becker Rutgers Business School Sandra Finklestein Clarkson
University School of Business David Berkowitz University of Alabama in Huntsville Jeffrey L.
Furman Boston University John Bers Vanderbilt University Cheryl Gaimon Georgia Institute
of Technology Paul Bierly James Madison University Elie Geisler Illinois Institute of
Technology Paul Cheney University of Central Florida Sanjay Goel University of Minnesota
in Duluth Pete Dailey Marshall University Andrew Hargadon University of California, Davis
Robert DeFillippi Suffolk University Steven Harper James Madison University xi xii
Acknowledgments Donald E. Hatfield Virginia Polytechnic Institute and State University
Glenn Hoetker University of Illinois Sanjay Jain University of Wisconsin–Madison Theodore
Khoury Oregon State University Rajiv Kohli College of William and Mary Aija Leiponen

Cornell University Vince Lutheran University of North Carolina—Wilmington Steve
Markham North Carolina State University Steven C. Michael University of Illinois Michael
Mino Clemson University Robert Nash Vanderbilt University Anthony Paoni Northwestern
University Johannes M. Pennings University of Pennsylvania Raja Roy Tulane University
Mukesh Srivastava University of Mary Washington Linda F. Tegarden Virginia Tech Oya
Tukel Cleveland State University Anthony Warren The Pennsylvania State University I am
also very grateful to the many students of the Technological Innovation and New Product
Development courses I have taught at New York University, INSEAD, Boston University, and
University of California at Santa Barbara. Not only did these students read, challenge, and
help improve many earlier drafts of the work, but they also contributed numerous examples
that have made the text far richer than it would have otherwise been. I thank them
wholeheartedly for their patience and generosity. Melissa A. Schilling Brief Contents Preface
vi 1 Introduction 1 PART ONE Industry Dynamics of Technological Innovation 13 2
Sources of Innovation 15 3 Types and Patterns of Innovation 43 4 Standards Battles,
Modularity, and Platform Competition 67 5 Timing of Entry 95 PART TWO Formulating
Technological Innovation Strategy 113 6 Defining the Organization’s Strategic Direction
115 7 Choosing Innovation Projects 141 8 Collaboration Strategies 167 9 Protecting
Innovation 197 PART THREE Implementing Technological Innovation Strategy 223 10
Organizing for Innovation 225 11 Managing the New Product Development Process
249 12 Managing New Product Development Teams 277 13 Crafting a Deployment
Strategy 297 INDEX 327 xiii Contents Chapter 1 Introduction 1 The Importance of
Technological Innovation 1 The Impact of Technological Innovation on Society 2
Innovation by Industry: The Importance of Strategy 4 The Innovation Funnel 4 The
Strategic Management of Technological Innovation 6 Summary of Chapter 9 Discussion
Questions 10 Suggested Further Reading 10 Endnotes 10 PART ONE INDUSTRY
DYNAMICS OF TECHNOLOGICAL INNOVATION 13 Chapter 2 Sources of Innovation 15
The Rise of “Clean Meat” 15 Overview 19 Creativity 20 Individual Creativity 20
Organizational Creativity 22 Translating Creativity Into Innovation 24 The Inventor
24 Innovation by Users 26 Research and Development by Firms 27 Firm Linkages with
Customers, Suppliers, Competitors, and Complementors 28 xiv Universities and
Government-Funded Research 30 Private Nonprofit Organizations 32 Innovation in
Collaborative Networks 32 Technology Clusters 33 Technological Spillovers 36
Summary of Chapter 37 Discussion Questions 38 Suggested Further Reading 38
Endnotes 39 Chapter 3 Types and Patterns of Innovation 43 Innovating in India: The
Chotukool Project 43 Overview 46 Types of Innovation 46 Product Innovation versus
Process Innovation 46 Radical Innovation versus Incremental Innovation 47
Competence-Enhancing Innovation versus Competence-Destroying Innovation 48
Architectural Innovation versus Component Innovation 49 Using the Dimensions 50
Technology S-Curves 50 S-Curves in Technological Improvement 50 S-Curves in
Technology Diffusion 53 S-Curves as a Prescriptive Tool 54 Limitations of S-Curve
Model as a Prescriptive Tool 55 Technology Cycles 56 Summary of Chapter 62
Discussion Questions 63 Suggested Further Reading 63 Endnotes 64 Contents xv
Chapter 4 Standards Battles, Modularity, and Platform Competition 67 A Battle for

Dominance in Mobile Payments 67 Overview 71 Why Dominant Designs Are Selected
71 Learning Effects 72 Network Externalities 73 Government Regulation 76 The
Result: Winner-Take-All Markets 76 Multiple Dimensions of Value 77 A Technology’s
Stand-Alone Value 78 Network Externality Value 78 Competing for Design Dominance
in Markets with Network Externalities 83 Modularity and Platform Competition 87
Modularity 87 Platform Ecosystems 89 Summary of Chapter 91 Discussion Questions
92 Suggested Further Reading 92 Endnotes 93 Chapter 5 Timing of Entry 95
UberAIR 95 Overview 98 First-Mover Advantages 98 Brand Loyalty and
Technological Leadership 98 Preemption of Scarce Assets 99 Exploiting Buyer
Switching Costs 99 Reaping Increasing Returns Advantages 100 First-Mover
Disadvantages 100 Research and Development Expenses 101 Undeveloped Supply and
Distribution Channels 101 Immature Enabling Technologies and Complements 101
Uncertainty of Customer Requirements 102 Factors Influencing Optimal Timing of Entry
104 Strategies to Improve Timing Options 108 Summary of Chapter 108 Discussion
Questions 109 Suggested Further Reading 109 Endnotes 110 PART TWO
FORMULATING TECHNOLOGICAL INNOVATION STRATEGY 113 Chapter 6 Defining the
Organization’s Strategic Direction 115 Tesla, Inc. in 2018 115 Overview 123
Assessing the Firm’s Current Position 123 External Analysis 123 Internal Analysis
127 Identifying Core Competencies and Dynamic Capabilities 131 Core Competencies
131 The Risk of Core Rigidities 132 Dynamic Capabilities 133 Strategic Intent 133
Endnotes 139 Chapter 7 Choosing Innovation Projects 141 Where Should We Focus
Our Innovation Efforts? An Exercise 141 Overview 146 The Development Budget
146 Quantitative Methods For Choosing Projects 149 Discounted Cash Flow Methods
149 Real Options 152 Disadvantages of Quantitative Methods 154 xvi Contents
Qualitative Methods for Choosing Projects 154 Screening Questions 155 The Aggregate
Project Planning Framework 157 Q-Sort 159 Combining Quantitative and Qualitative
Information 159 Conjoint Analysis 159 Data Envelopment Analysis 161 Summary of
Chapter 163 Discussion Questions 163 Suggested Further Reading 164 Endnotes
164 Chapter 8 Collaboration Strategies 167 Ending HIV? Sangamo Therapeutics and Gene
Editing 167 Overview 175 Reasons for Going Solo 175 1. Availability of Capabilities
176 2. Protecting Proprietary Technologies 176 3. Controlling Technology Development
and Use 176 4. Building and Renewing Capabilities 177 Advantages of Collaborating
177 1. Acquiring Capabilities and Resources Quickly 177 2. Increasing Flexibility 178
3. Learning from Partners 178 4. Resource and Risk Pooling 178 5. Building a Coalition
around a Shared Standard 178 Types of Collaborative Arrangements 178 Strategic
Alliances 179 Joint Ventures 181 Licensing 182 Outsourcing 183 Collective
Research Organizations 184 Choosing a Mode of Collaboration 184 Choosing and
Monitoring Partners 187 Partner Selection 187 Partner Monitoring and Governance
191 Summary of Chapter 192 Discussion Questions 193 Suggested Further Reading
193 Endnotes 194 Chapter 9 Protecting Innovation 197 The Digital Music Distribution
Revolution 197 Overview 201 Appropriability 202 Patents, Trademarks, and
Copyrights 202 Patents 203 Trademarks and Service Marks 207 Copyright 208

Trade Secrets 210 The Effectiveness and Use of Protection Mechanisms 211 Wholly
Proprietary Systems versus Wholly Open Systems 212 Advantages of Protection 213
Advantages of Diffusion 215 Summary of Chapter 218 Discussion Questions 219
Suggested Further Reading 219 Endnotes 220 PART THREE IMPLEMENTING
TECHNOLOGICAL INNOVATION STRATEGY 223 Chapter 10 Organizing for Innovation
225 Organizing for Innovation at Google 225 Overview 227 Size and Structural
Dimensions of the Firm 228 Size: Is Bigger Better? 228 Structural Dimensions of the
Firm 230 Centralization 230 Formalization and Standardization 231 Mechanistic
versus Organic Structures 232 Size versus Structure 234 The Ambidextrous
Organization: The Best of Both Worlds? 234 Contents xvii Modularity and “Loosely
Coupled” Organizations 236 Modular Products 236 Loosely Coupled Organizational
Structures 237 Managing Innovation Across Borders 240 Summary of Chapter 243
Discussion Questions 244 Suggested Further Reading 244 Endnotes 245 Chapter 11
Managing the New Product Development Process 249 Scrums, Sprints, and Burnouts:
Agile Development at Cisco Systems 249 Overview 252 Objectives of the New Product
Development Process 252 Maximizing Fit with Customer Requirements 252
Minimizing Development Cycle Time 253 Controlling Development Costs 254
Sequential versus Partly Parallel Development Processes 254 Project Champions 257
Risks of Championing 257 Involving Customers and Suppliers in the Development
Process 259 Involving Customers 259 Involving Suppliers 260 Crowdsourcing 260
Tools for Improving the New Product Development Process 262 Stage-Gate Processes
262 Quality Function Deployment (QFD)—The House of Quality 265 Design for
Manufacturing 267 Failure Modes and Effects Analysis 267 Computer-Aided
Design/Computer-Aided Engineering/Computer-Aided Manufacturing 268 Tools for
Measuring New Product Development Performance 269 New Product Development
Process Metrics 271 Overall Innovation Performance 271 Summary of Chapter 271
Discussion Questions 272 Suggested Further Reading 272 Endnotes 273 Chapter 12
Managing New Product Development Teams 277 Innovation Teams at the Walt Disney
Company 277 Overview 279 Constructing New Product Development Teams 280
Team Size 280 Team Composition 280 The Structure of New Product Development
Teams 285 Functional Teams 285 Lightweight Teams 286 Heavyweight Teams
286 Autonomous Teams 286 The Management of New Product Development Teams
288 Team Leadership 288 Team Administration 288 Managing Virtual Teams 289
Endnotes 293 Chapter 13 Crafting a Deployment Strategy 297 Deployment Tactics in
the Global Video Game Industry 297 Overview 306 Launch Timing 306 Strategic
Launch Timing 306 Optimizing Cash Flow versus Embracing Cannibalization 307
Licensing and Compatibility 308 Pricing 310 xviii Contents Distribution 312 Selling
Direct versus Using Intermediaries 312 Strategies for Accelerating Distribution 314
Marketing 316 Major Marketing Methods 316 Tailoring the Marketing Plan to Intended
Adopters 318 Using Marketing to Shape Perceptions and Expectations 320 Summary of
Chapter 323 Discussion Questions 324 Suggested Further Reading 324 Endnotes
325 Index 327 Chapter One Introduction THE IMPORTANCE OF TECHNOLOGICAL

INNOVATION technological innovation The act of -introducing a new device, method, or
material for application to commercial or practical objectives. In many industries,
technological innovation is now the most important driver of competitive success. Firms in
a wide range of industries rely on products developed within the past five years for almost
one-third (or more) of their sales and profits. For example, at Johnson & Johnson, products
developed within the last five years account for over 30 percent of sales, and sales from
products developed within the past five years at 3M have hit as high as 45 percent in recent
years. The increasing importance of innovation is due in part to the globalization of
markets. Foreign competition has put pressure on firms to continuously innovate in order
to produce differentiated products and services. Introducing new products helps firms
protect their margins, while investing in process innovation helps firms lower their costs.
Advances in information technology also have played a role in speeding the pace of
innovation. Computer-aided design and computer-aided manufacturing have made it easier
and faster for firms to design and produce new products, while flexible manufacturing
technologies have made shorter production runs economical and have reduced the
importance of production economies of scale.1 These technologies help firms develop and
produce more product variants that closely meet the needs of narrowly defined customer
groups, thus achieving differentiation from competitors. For example, in 2018, Toyota
offered 22 different passenger vehicle lines under the Toyota brand (e.g., Camry, Prius,
Highlander, and Tundra). Within each of the vehicle lines, Toyota also offered several
different models (e.g., Camry L, Camry LE, Camry SE, Camry Hybrid SE, etc.) with different
features and at different price points. In total, Toyota offered 193 car models ranging in
price from $15,635 (for the Yaris -three-door liftback) to $84,315 (for the Land Cruiser),
and seating anywhere from three passengers (e.g., Tacoma Regular Cab truck) to eight
passengers (Sienna Minivan). On top of this, Toyota also produced a range of luxury vehicles
under its Lexus brand. Similarly, in 2018 Samsung produced more than 30 unique
smartphones. Companies can use broad portfolios of product models to help ensure they
can penetrate almost every conceivable market niche. While producing multiple product
variations used to be expensive and 1 2 Chapter 1 Introduction time-consuming, flexible
manufacturing technologies now enable firms to seamlessly transition from producing one
product model to the next, adjusting production schedules with real-time information on
demand. Firms further reduce production costs by using common components in many of
the models. As firms such as Toyota, Samsung, and others adopt these new technologies and
increase their pace of innovation, they raise the bar for competitors, triggering an industry-
wide shift to shortened development cycles and more rapid new product introductions. The
net results are greater market segmentation and rapid product obsolescence.2 Product life
cycles (the time between a product’s introduction and its withdrawal from the market or
replacement by a next-generation product) have become as short as 4 to 12 months for
software, 12 to 24 months for computer hardware and consumer electronics, and 18 to 36
months for large home appliances.3 This spurs firms to focus increasingly on innovation as
a strategic imperative—a firm that does not innovate quickly finds its margins diminishing
as its products become obsolete. THE IMPACT OF TECHNOLOGICAL INNOVATION ON
SOCIETY gross -domestic product (GDP) The total annual output of an economy as

measured by its final purchase price. If the push for innovation has raised the competitive
bar for industries, arguably making success just that much more complicated for
organizations, its net effect on society is more clearly positive. Innovation enables a wider
range of goods and services to be delivered to people worldwide. It has made the
production of food and other necessities more efficient, yielded medical treatments that
improve health conditions, and enabled people to travel to and communicate with almost
every part of the world. To get a real sense of the magnitude of the effect of technological
innovation on society, look at Figure 1.1, which shows a timeline of some of the most
important technological innovations developed over the last 200 years. Imagine how
different life would be without these innovations! The aggregate impact of technological
innovation can be observed by looking at gross domestic product (GDP). The gross domestic
product of an economy is its total annual output, measured by final purchase price. Figure
1.2 shows the average GDP per capita (i.e., GDP divided by the population) for the world
from 1980 to 2016. The figures have been converted into U.S. dollars and adjusted for
inflation. As shown in the figure, the average world GDP per capita has risen steadily since
1980. In a series of studies of economic growth conducted at the National Bureau of
Economic Research, economists showed that the historic rate of economic growth in GDP
could not be accounted for entirely by growth in labor and capital inputs. Economist Robert
Merton Solow argued that this unaccounted-for residual growth represented technological
change: Technological innovation increased the amount of output achievable from a given
quantity of labor and capital. This explanation was not immediately accepted; many
researchers attempted to explain the residual away in terms of measurement error,
inaccurate price deflation, or labor improvement. Chapter 1 Introduction 3 FIGURE 1.1
Timeline of Some of the Most Important Technological Innovations in the Last 200 Years
externalities Costs (or benefits) that are borne (or reaped) by individuals other than those
responsible for creating them. Thus, if a business emits pollutants in a community, it
imposes a negative externality on the community members; if a business builds a park in a
community, it creates a positive externality for community members. 1800 – 1800—Electric
battery 1804—Steam locomotive 1807—Internal combustion engine 1809—Telegraph
1817—Bicycle 1820 – 1821—Dynamo 1824—Braille writing system 1828—Hot blast
furnace 1831—Electric generator 1836—Five-shot revolver 1840 – 1841—Bunsen battery
(voltaic cell) 1842—Sulfuric ether-based anesthesia 1846—Hydraulic crane 1850—
Petroleum refining 1856—Aniline dyes 1860 – 1862—Gatling gun 1867—Typewriter
1876—Telephone 1877—Phonograph 1878—Incandescent lightbulb 1880 – 1885—Light
steel skyscrapers 1886—Internal combustion automobile 1887—Pneumatic tire 1892—
Electric stove 1895—X-ray machine 1900 – 1902—Air conditioner (electric) 1903—Wright
biplane 1906—Electric vacuum cleaner 1910—Electric washing machine 1914—Rocket
1920 – 1921—Insulin (extracted) 1927—Television 1928—Penicillin 1936—First
programmable computer 1939—Atom fission 1940 – 1942—Aqua lung 1943—Nuclear
reactor 1947—Transistor 1957—Satellite 1958—Integrated circuit 1960 – 1967—Portable
handheld calculator 1969—ARPANET (precursor to Internet) 1971—Microprocessor
1973—Mobile (portable cellular) phone 1976—Supercomputer 1980 – 1981—Space
shuttle (reusable) 1987—Disposable contact lenses 1989—High-definition television

1990—World Wide Web protocol 1996—Wireless Internet 2000 – 2003—Map of human
genome But in each case the additional variables were unable to eliminate this residual
growth component. A -consensus gradually emerged that the residual did in fact capture
technological change. Solow received a Nobel Prize for his work in 1981, and the residual
became known as the Solow Residual.4 While GDP has its shortcomings as a measure of
standard of living, it does relate very directly to the amount of goods consumers can
purchase. Thus, to the extent that goods improve quality of life, we can ascribe some
beneficial impact of technological innovation. Sometimes technological innovation results in
negative -externalities. Production technologies may -create pollution that is harmful to the
surrounding communities; agricultural and fishing technologies can result in erosion,
elimination of natural habitats, and depletion of ocean stocks; medical technologies can
result in unanticipated consequences such as antibiotic-resistant strains of bacteria or
moral -dilemmas regarding the use of genetic modification. However, technology is, in its
purest essence,- knowledge—- knowledge to solve our problems and pursue our goals.5
Technological innovation is thus the creation of new knowledge that is applied to practical
problems. Sometimes this knowledge is applied to problems hastily, without full
consideration of the consequences and alternatives, but overall it will probably serve us
better to have more knowledge than less. 4 Chapter 1 Introduction FIGURE 1.2 Gross
-Domestic Product per Capita, 1989– 2016 (in Real 2010 $US Billions) 90,000 Source: USDA
Economic Research Service, www.ers.usda.gov, accessed April 16th, 2018. 50,000 80,000
70,000 60,000 40,000 30,000 20,000 10,000 00 20 02 20 04 20 06 20 08 20 10 20 12 20 14
20 16 98 20 96 19 94 19 92 19 90 19 88 19 86 19 84 19 82 19 19 19 80 – INNOVATION BY
INDUSTRY: THE IMPORTANCE OF STRATEGY As will be shown in Chapter Two, the
majority of effort and money invested in technological innovation comes from industrial
firms. However, in the frenetic race to innovate, many firms charge headlong into new
product development without clear strategies or well-developed processes for choosing and
managing projects. Such firms often initiate more projects than they can effectively support,
choose projects that are a poor fit with the firm’s resources and objectives, and suffer long
development cycles and high project failure rates as a consequence (see the accompanying
Research Brief for a recent study of the length of new product development cycles). While
innovation is popularly depicted as a freewheeling process that is unconstrained by rules
and plans, study after study has revealed that successful innovators have clearly defined
innovation strategies and management processes.6 The Innovation Funnel Most innovative
ideas do not become successful new products. Many studies suggest that only one out of
several thousand ideas results in a successful new product: Many projects do not result in
technically feasible products and, of those that do, many fail to earn a commercial return.
According to a 2012 study by the Product Development and Management Association, only
about one in nine projects that are initiated is successful, and of those that make it to the
point of being launched to the market, only about half earn a profit.7 Furthermore, many
ideas are sifted through and abandoned before a project is even formally initiated.
According to one study that combined data from prior studies of innovation success rates
with data on patents, venture capital Chapter 1 Introduction 5 Research Brief How Long
Does New Product Development Take?a In a large-scale survey administered by the Product

Development and Management Association (PDMA), researchers examined the length of
time it took firms to develop a new product from initial concept to market introduction. The
study divided new product development projects into categories representing their degree
of innovativeness: “radical” projects, “more innovative” projects, and “incremental” projects.
On average, incremental projects took only 33 weeks from concept to market introduction.
More innovative projects took significantly longer, clocking in at 57 weeks. The
development of radical products or technologies took the longest, averaging 82 weeks. The
study also found that on average, for more innovative and radical projects, firms reported
significantly shorter cycle times than those reported in the previous PDMA surveys
conducted in 1995 and 2004. a Adapted from Markham, S. K., and H. Lee, “Product
Development and Management Association’s 2012 Comparative Performance Assessment
Study,” Journal of Product Innovation Management 30, no. 3 (2013): 408–29. funding, and
surveys, it takes about 3000 raw ideas to produce one significantly new and successful
commercial product.8 The pharmaceutical industry demonstrates this well—only one out of
every 5000 compounds makes it to the pharmacist’s shelf, and only one-third of those will
be successful enough to recoup their R&D costs.9 Furthermore, most studies indicate that it
costs at least $1.4 billion and a decade of research to bring a new Food and Drug
Administration (FDA)–approved pharmaceutical product to market!10 The innovation
process is thus often conceived of as a funnel, with many potential new product ideas going
in the wide end, but very few making it through the development process (see Figure 1.3).
FIGURE 1.3 The New Product Development Funnel in Pharmaceuticals 5000 Compounds
125 Leads Discovery & Preclinical 3–6 years 2–3 drugs tested Clinical Trials 6–7 years 1
drug Approval ½–2 years Rx 6 Chapter 1 Introduction The Strategic Management of
Technological Innovation Improving a firm’s innovation success rate requires a well-crafted
strategy. A firm’s innovation projects should align with its resources and objectives,
leveraging its core competencies and helping it achieve its strategic intent. A firm’s
organizational structure and control systems should encourage the generation of innovative
ideas while also ensuring efficient implementation. A firm’s new product development
process should maximize the likelihood of projects being both technically and commercially
successful. To achieve these things, a firm needs (a) an in-depth understanding of the
dynamics of innovation, (b) a well-crafted innovation strategy, and (c) well-designed
processes for implementing the innovation strategy. We will cover each of these in turn (see
Figure 1.4). In Part One, we will cover the foundations of technological innovation, gaining
an in-depth understanding of how and why innovation occurs in an industry, and why some
innovations rise to dominate others. First, we will look at the sources of innovation in
Chapter Two. We will address questions such as: Where do great ideas come from? How can
firms harness the power of individual creativity? What role do customers, government
organizations, universities, and alliance networks play in creating innovation? In this
chapter, we will first explore the role of creativity in the generation of novel and useful
ideas. We then look at various sources of innovation, including the role of individual
inventors, firms, publicly sponsored research, and collaborative networks. In Chapter Three,
we will review models of types of innovation (such as -radical -versus incremental and
architectural versus modular) and patterns of innovation (including s-curves of technology

performance and diffusion, and technology cycles). We will address questions such as: Why
are some innovations much harder to create and implement than others? Why do
innovations often diffuse slowly even when they appear to offer a great advantage? What
factors influence the rate at which a technology tends to improve over time? Familiarity
with these types and patterns of innovation will help us distinguish how one project is
different from another and the underlying factors that shape the project’s likelihood of
technical or commercial success. In Chapter Four, we will turn to the particularly interesting
dynamics that emerge in industries characterized by network externalities and other
sources of increasing returns that can lead to standards battles and winner-take-all
markets. We will address questions such as: Why do some industries choose a single
dominant standard rather than enabling multiple standards to coexist? What makes one
technological innovation rise to dominate all others, even when other seemingly superior
technologies are offered? How can a firm avoid being locked out? Is there anything a firm
can do to influence the likelihood of its technology becoming the dominant design? When
are platform ecosystems likely to displace other forms of competition in an industry? In
Chapter Five, we will discuss the impact of entry timing, including first-mover advantages,
first-mover disadvantages, and the factors that will determine the firm’s optimal entry
strategy. This chapter will address such questions as: What are the advantages and
disadvantages of being first to market, early but not first, and late? What determines the
optimal timing of entry for a new innovation? This chapter reveals a number of consistent
patterns in how timing of entry impacts innovation success, and Chapter 1 Introduction 7
FIGURE 1.4 The Strategic Management of Technological Innovation Part 1: Industry
Dynamics of Technological Innovation Chapter 2 Sources of Innovation Chapter 3 Types and
Patterns of Innovation Chapter 4 Standards Battles, Modularity, and Platform Competition
Chapter 5 Timing of Entry Part 2: Formulating Technological Innovation Strategy Chapter 6
Defining the Organization’s Strategic Direction Chapter 7 Choosing Innovation Projects
Chapter 8 Collaboration Strategies Chapter 9 Protecting Innovation Part 3: Implementing
Technological Innovation Strategy Chapter 10 Organizing for Innovation Chapter 11
Managing the New Product Development Process Feedback Chapter 12 Managing New
Product Development Teams Chapter 13 Crafting a Deployment Strategy 8 Chapter 1
Introduction it outlines what factors will influence a firm’s optimal timing of entry, thus
beginning the transition from understanding the dynamics of technological innovation to
formulating technology strategy. In Part Two, we will turn to formulating technological
innovation strategy. -Chapter Six reviews the basic strategic analysis tools managers can
use to assess the firm’s current position and define its strategic direction for the future. This
chapter will address such questions as: What are the firm’s sources of sustainable
competitive advantage? Where in the firm’s value chain do its strengths and weaknesses lie?
What are the firm’s core competencies, and how should it leverage and build upon them?
What is the firm’s strategic intent—that is, where does the firm want to be 10 years from
now? Only after the firm has thoroughly appraised where it is currently can it formulate a
coherent technological innovation strategy for the future. In Chapter Seven, we will examine
a variety of methods of choosing innovation projects. These include quantitative methods
such as discounted cash flow and options valuation techniques, qualitative methods such as

screening questions and balancing the research and development portfolio, as well as
methods that combine qualitative and quantitative approaches such as conjoint analysis
and data envelopment analysis. Each of these methods has its advantages and
disadvantages, leading many firms to use a multiple-method approach to choosing
innovation projects. In Chapter Eight, we will examine collaboration strategies for
innovation. This chapter addresses questions such as: Should the firm partner on a
particular project or go solo? How does the firm decide which activities to do in-house and
which to access through collaborative arrangements? If the firm chooses to work with a
partner, how should the partnership be structured? How does the firm choose and monitor
partners? We will begin by looking at the reasons a firm might choose to go solo versus
-working with a partner. We then will look at the pros and cons of various partnering
-methods, including joint ventures, alliances, licensing, outsourcing, and participating in
-collaborative research organizations. The chapter also reviews the factors that should
influence partner selection and monitoring. In Chapter Nine, we will address the options the
firm has for appropriating the returns to its innovation efforts. We will look at the
mechanics of patents, copyright, trademarks, and trade secrets. We will also address such
questions as: Are there ever times when it would benefit the firm to not protect its
technological innovation so vigorously? How does a firm decide between a wholly
proprietary, wholly open, or partially open strategy for protecting its innovation? When will
open strategies have advantages over wholly proprietary strategies? This chapter examines
the range of protection options available to the firm, and the complex series of trade-offs a
firm must consider in its protection strategy. In Part Three, we will turn to implementing
the technological innovation strategy. This begins in Chapter Ten with an examination of
how the organization’s size and structure influence its overall rate of innovativeness. The
chapter addresses such questions as: Do bigger firms outperform smaller firms at
innovation? How do formalization, standardization, and centralization impact the likelihood
of generating innovative ideas and the organization’s ability to implement those ideas
quickly and efficiently? Is it possible to achieve creativity and flexibility at the same time as
efficiency and reliability? How do multinational firms decide where to perform their
development Chapter 1 Introduction 9 activities? How do multinational firms coordinate
their development activities toward a common goal when the activities occur in multiple
countries? This chapter examines how organizations can balance the benefits and trade-offs
of flexibility, economies of scale, standardization, centralization, and tapping local market
knowledge. In Chapter Eleven, we will review a series of “best practices” that have been
identified in managing the new product development process. This includes such questions
as: Should new product development processes be performed sequentially or in parallel?
What are the advantages and disadvantages of using project champions? What are the
benefits and risks of involving customers and/or suppliers in the development process?
What tools can the firm use to improve the effectiveness and efficiency of its new product
development processes? How does the firm assess whether its new product development
process is successful? This chapter provides an extensive review of methods that have been
developed to improve the management of new product development projects and to
measure their performance. Chapter Twelve builds on the previous chapter by illuminating

how team composition and structure will influence project outcomes. This chapter
addresses questions such as: How big should teams be? What are the advantages and
disadvantages of choosing highly diverse team members? Do teams need to be colocated?
When should teams be full time and/or permanent? What type of team leader and
management practices should be used for the team? This chapter provides detailed
guidelines for constructing new product development teams that are matched to the type of
new product development project under way. Finally, in Chapter Thirteen, we will look at
innovation deployment strategies. This chapter will address such questions as: How do we
accelerate the adoption of the technological innovation? How do we decide whether to use
licensing or OEM agreements? Does it make more sense to use penetration pricing or a
market-skimming price? When should we sell direct versus using intermediaries? What
strategies can the firm use to encourage distributors and complementary goods providers
to support the innovation? What are the advantages and disadvantages of major marketing
methods? This chapter complements traditional marketing, distribution, and pricing
courses by looking at how a deployment strategy can be crafted that especially targets the
needs of a new technological innovation. Summary of Chapter 1. Technological innovation is
now often the single most important competitive driver in many industries. Many firms
receive more than one-third of their sales and profits from products developed within the
past five years. 2. The increasing importance of innovation has been driven largely by the
globalization of markets and the advent of advanced technologies that enable more rapid
product design and allow shorter production runs to be economically feasible. 3.
Technological innovation has a number of important effects on society, including fostering
increased GDP, enabling greater communication and mobility, and improving medical
treatments. 10 Chapter 1 Introduction 4. Technological innovation may also pose some
negative externalities, including pollution, resource depletion, and other unintended
consequences of technological change. 5. While government plays a significant role in
innovation, industry provides the majority of R&D funds that are ultimately applied to
technological innovation. 6. Successful innovation requires an in-depth understanding of
the dynamics of innovation, a well-crafted innovation strategy, and well-developed
processes for implementing the innovation strategy. Discussion Questions 1. Why is
innovation so important for firms to compete in many industries? 2. What are some
advantages and disadvantages of technological innovation? 3. Why do you think so many
innovation projects fail to generate an economic return? Suggested Further Reading Classics
Arrow, K. J., “Economic welfare and the allocation of resources for inventions,” in The Rate
and Direction of Inventive Activity: Economic and Social Factors, ed. R. Nelson (Princeton,
NJ: Princeton University Press, 1962), pp. 609–25. Baumol, W. J., The Free Market
Innovation Machine: Analyzing the Growth Miracle of Capitalism (Princeton, NJ: Princeton
University Press, 2002). Mansfield, E., “Contributions of R and D to economic growth in the
United States,” Science CLXXV (1972), pp. 477–86. Schumpeter, J. A., The Theory of
Economic Development (1911; English translation, Cambridge, MA: Harvard University
Press, 1936). Recent Work Ahlstrom, D., “Innovation and Growth: How Business
Contributes to Society,” Academy of Management Perspectives (August 2010): 10–23.
Lichtenberg, F. R., “Pharmaceutical Innovation and Longevity Growth in 30 Developing and

High-Income Countries, 2000–2009,” Health Policy and Technology 3 (2014):36–58. “The
25 Best Inventions of 2017,” Time (December 1, 2017). Schilling, M. A., “Towards Dynamic
Efficiency: Innovation and Its Implications for Antitrust,” Antitrust Bulletin 60, no. 3 (2015):
191–207. Endnotes 1. J. P. Womack, D. T. Jones, and D. Roos, The Machine That Changed the
World (New York: Rawson Associates, 1990). 2. W. Qualls, R. W. Olshavsky, and R. E.
Michaels, “Shortening of the PLC—An Empirical Test,” Journal of Marketing 45 (1981), pp.
76–80. 3. M. A. Schilling and C. E. Vasco, “Product and Process Technological Change and the
Adoption of Modular Organizational Forms,” in Winning Strategies in a Deconstructing
World, eds. R. Bresser, M. Hitt, R. Nixon, and D. Heuskel (Sussex, England: John Wiley &
Sons, 2000), pp. 25–50. Chapter 1 Introduction 11 4. N. Crafts, “The First Industrial
Revolution: A Guided Tour for Growth Economists,” The American Economic Review 86,
no. 2 (1996), pp. 197–202; R. Solow, “Technical Change and the Aggregate Production
Function,” Review of Economics and Statistics 39 (1957), pp. 312–20; and N. E. Terleckyj,
“What Do R&D Numbers Tell Us about Technological Change?” A merican Economic
Association 70, no. 2 (1980), pp. 55–61. 5. H. A. Simon, “Technology and Environment,”
Management Science 19 (1973), pp. 1110–21. 6. S. Brown and K. Eisenhardt, “The Art of
Continuous Change: Linking Complexity Theory and Time-Paced Evolution in Relentlessly
Shifting Organizations,” Administrative Science Quarterly 42 (1997), pp. 1–35; K. Clark and
T. Fujimoto, Product Development Performance (Boston: Harvard Business School Press,
1991); R. Cooper, “Third Generation New Product Processes,” Journal of Product Innovation
Management 11 (1994), pp. 3–14; D. Doughery, “Reimagining the Differentiation and
Integration of Work for Sustained Product Innovation,” Organization Science 12 (2001), pp.
612–31; and M. A. Schilling and C. W. L. Hill, “Managing the New Product Development
Process: Strategic Imperatives,” Academy of Management Executive 12, no. 3 (1998), pp.
67–81. 7. Markham, SK, and Lee, H. “Product Development and Management Association’s
2012 comparative performance assessment study,” Journal of Product Innovation
Management 30 (2013), issue 3:408–429. 8. G. Stevens and J. Burley, “3,000 Raw Ideas
Equals 1 Commercial Success!” Research Technology Management 40, no. 3 (1997), pp. 16–
27. 9. Standard & Poor’s Industry Surveys, Pharmaceutical Industry, 2008. 10. DiMasi, J. A.,
H. G. Grabowski, and R. W. Hansen, “Innovation in the Pharmaceutical Industry: New
Estimates of R&D Costs,” Journal of Health Economics 47 (May 2016):20–33. Part One
Industry Dynamics of Technological Innovation In this section, we will explore the industry
dynamics of technological innovation, including: ∙ The sources from which innovation
arises, including the roles of individuals, organizations, government institutions, and
networks. ∙ The types of innovations and common industry patterns of technological evo-
lution and diffusion. ∙ The factors that determine whether industries experience pressure to
select a dominant design, and what drives which technologies to dominate others. ∙ The
effects of timing of entry, and how firms can identify (and manage) their entry options. This
section will lay the foundation that we will build upon in Part Two, Formulating
Technological Innovation Strategy. Industry Dynamics of Technological Innovation Part 1:
Industry Dynamics of Technological Innovation Chapter 2 Sources of Innovation Chapter 3
Types and Patterns of Innovation Chapter 4 Standards Battles, Modularity, and Platform
Competition Chapter 5 Timing of Entry Part 2: Formulating Technological Innovation

Strategy Chapter 6 Defining the Organization’s Strategic Direction Chapter 7 Choosing
Innovation Projects Chapter 8 Collaboration Strategies Chapter 9 Protecting Innovation Part
3: Implementing Technological Innovation Strategy Chapter 10 Organizing for Innovation
Chapter 11 Managing the New Product Development Process Feedback Chapter 12
Managing New Product Development Teams Chapter 13 Crafting a Deployment Strategy
Chapter Two Sources of Innovation The Rise of “Clean Meat”a In late 2017, Microsoft
founder Bill Gates and a group of other high-powered investors—who comprise
Breakthrough Energy Ventures, such as Amazon’s Jeff Bezos, Alibaba’s Jack Ma, and Virgin’s
Richard Branson—announced their intention to fund a San Francisco–based start-up called
Memphis Meats with an unusual business plan: it grew “clean” meat using stem cells,
eliminating the need to breed or slaughter animals. The company had already produced
beef, chicken, and duck, all grown from cells.b There were many potential advantages of
growing meat without animals. First, growth in the demand for meat was skyrocketing due
to both population growth and development. When developing countries become wealthier,
they increase their meat consumption. While humanity’s population had doubled since
1960, consumption of animal products had risen fivefold and was still increasing. Many
scientists and economists had begun to warn of an impending “meat crisis.” Even though
plant protein substitutes like soy and pea protein had gained enthusiastic followings, the
rate of animal protein consumption had continued to rise. This suggested that meat
shortages were inevitable unless radically more efficient methods of production were
developed. Large-scale production of animals also had a massively negative effect on the
environment. The worldwide production of cattle, for example, resulted in a larger
emissions of greenhouse gases than the collective effect of the world’s automobiles. Animal
production is also extremely water intensive: To produce each chicken sold in a
supermarket, for example, requires more than 1000 gallons of water, and each egg requires
50 gallons. Each gallon of cow’s milk required 900 gallons of water. A study by Oxford
University indicated that meat grown from cells would produce up to 96 percent lower
greenhouse gas emissions, use 45 percent less energy, 99 percent less land, and 96 percent
less water.c Scientists also agreed that producing animals for consumption was simply
inefficient. Estimates suggested, for example, that it required roughly 23 calories worth of
inputs to produce one calorie of beef. “Clean” meat promised to bring that ratio down to
three calories of inputs to produce a calorie of beef— more than seven times greater
efficiency. “Clean” meat also would not contain 15 16 Part One Industry Dynamics of
Technological Innovation antibiotics, steroids, or bacteria such as E. coli—it was literally
“cleaner,” and that translated into both greater human health and lower perishability. The
Development of Clean Meat In 2004, Jason Matheny, a 29-year-old recent graduate from the
John Hopkins Public Health program decided to try to tackle the problems with production
of animals for food. Though Matheny was a vegetarian himself, he realized that convincing
enough people to adopt a plant-based diet to slow down the meat crisis was unlikely. As he
noted, “You can spend your time trying to get people to turn their lights out more often, or
you can invent a more efficient light bulb that uses far less energy even if you leave it on.
What we need is an enormously more efficient way to get meat.”d Matheny founded a
nonprofit organization called New Harvest that would be dedicated to promoting research

into growing real meat without animals. He soon discovered that a Dutch scientist, Willem
van Eelen was exploring how to culture meat from animal cells. Van Eelen had been
awarded the first patent on a cultured meat production method in 1999. However, the
eccentric scientist had not had much luck in attracting funding to his project, nor in scaling
up his production. Matheny decided that with a little prodding, the Dutch government might
be persuaded to make a serious investment in the development of meatculturing methods.
He managed to get a meeting with the Netherland’s minister of agriculture where he made
his case. Matheny’s efforts paid off: The Dutch government agreed to invest two million
euros in exploring methods of creating cultured meat at three different universities. By
2005, clean meat was starting to gather attention. The journal Tissue Engineering published
an article entitled “In Vitro-Cultured Meat Production,” and in the same year, the New York
Times profiled clean meat in its annual “Ideas of the Year.” However, while governments
and universities were willing to invest in the basic science of creating methods of producing
clean meat, they did not have the capabilities and assets needed to bring it to commercial
scale. Matheny knew that to make clean meat a mainstream reality, he would need to attract
the interest of large agribusiness firms. Matheny’s initial talks with agribusiness firms did
not go well. Though meat producers were open to the idea conceptually, they worried that
consumers would balk at clean meat and perceive it as unnatural. Matheny found this
criticism frustrating; after all, flying in airplanes, using air conditioning, or eating meat
pumped full of steroids to accelerate its growth were also unnatural. Progress was slow.
Matheny took a job at the Intelligence Advanced Research Projects Activity (IARPA) of the
U.S. Federal Government while continuing to run New Harvest on the side. Fortunately,
others were also starting to realize the urgency of developing alternative meat production
methods. Enter Sergey Brin of Google In 2009, the foundation of Sergey Brin, cofounder of
Google, contacted Matheny to learn more about cultured meat technologies. Matheny
referred Brin’s Chapter 2 Sources of Innovation 17 foundation to Dr. Mark Post at
Maastricht University, one of the leading scientists funded by the Dutch government’s clean
meat investment. Post had succeeded in growing mouse muscles in vitro and was certain his
process could be replicated with the muscles of cows, poultry, and more. As he stated, “It
was so clear to me that we could do this. The science was there. All we needed was funding
to actually prove it, and now here was a chance to get what was needed.”e It took more than
a year to work out the details, but in 2011, Brin offered Post roughly three quarters of a
million dollars to prove his process by making two cultured beef burgers, and Post’s team
set about meeting the challenge. In early 2013, the moment of truth arrived: Post and his
team had enough cultured beef to do a taste test. They fried up a small burger and split it
into thirds to taste. It tasted like meat. Their burger was 100 percent skeletal muscle and
they knew that for commercial production they would need to add fat and connective tissue
to more closely replicate the texture of beef, but those would be easy problems to solve
after passing this milestone. The press responded enthusiastically, and the Washington Post
ran an article headlined, “Could a TestTube Burger Save the Planet?”f Going Commercial In
2015, Uma Valeti, a cardiologist at the Mayo Clinic founded his own cultured-- meat
research lab at the University of Minnesota. “I’d read about the inefficiency of meat-eating
compared to a vegetarian diet, but what bothered me more than the wastefulness was the

sheer scale of suffering of the animals.”g As a heart doctor, Valeti also believed that getting
people to eat less meat could improve human health: “I knew that poor diets and the
unhealthy fats and refined carbs that my patients were eating were killing them, but so
many seemed totally unwilling to eat less or no meat. Some actually told me they’d rather
live a shorter life than stop eating the meats they loved.” Valeti began fantasizing about a
best-of-both-worlds alternative—a healthier and kinder meat. As he noted, “The main
difference I thought I’d want for this meat I was envisioning was that it’d have to be leaner
and more protein-packed than a cut of supermarket meat, since there’s a large amount of
saturated fat in that meat. . . . Why not have fats that are proven to be better for health and
longevity, like omega-3s? We want to be not just like conventional meat but healthier than
conventional meat.”h Valeti was nervous about leaving his successful position as a
cardiologist— after all, he had a wife and two children to help support. However, when he
sat down to discuss it with his wife (a pediatric eye surgeon), she said, “Look, Uma. We’ve
been wanting to do this forever. I don’t ever want us to look back on why we didn’t have the
courage to work on an idea that could make this world kinder and better for our children
and their generation.”i And thus Valeti’s company, which would later be named Memphis
Meats, was born. Building on Dr. Post’s achievement, Valeti’s team began experimenting
with ways to get just the right texture and taste. After much trial and error, and a growing
number of patents, they hosted their first tasting event in December 2015. On the menu: a
meatball. This time the giant agribusiness firms took notice. 18 Part One Industry Dynamics
of Technological Innovation At the end of 2016, Tyson Foods, the world’s largest meat
producer, announced that it would invest $150 million in a venture capital fund that would
develop alternative proteins, including meat grown from self-reproducing cells. In August of
2017, agribusiness giant Cargill announced it was investing in Memphis Meats, and a few
months later in early 2018, Tyson Foods also pledged investment. That first meatball cost
$1200; to make cultured meat a commercial reality required bringing costs down
substantially. But analysts were quick to point out that the first iPhone had cost $2.6 billion
in R&D—much more than the first cultured meats. Scale and learning curve efficiencies
would drive that cost down. Valeti had faith that the company would soon make cultured
meat not only -competitive with traditional meat, but more affordable. Growing meat rather
than whole animals had, after all, inherent efficiency advantages. Some skeptics believed the
bigger problem was not production economies, but consumer acceptance: would people be
willing to eat meat grown without animals? Sergey Brin, Bill Gates, Jeff Bezos, Jack Ma, and
Richard Branson were willing to bet that they would. As Branson stated in 2017, “I believe
that in 30 years or so we will no longer need to kill any animals and that all meat will either
be clean or plant-based, taste the same and also be much healthier for everyone.”j
Discussion Questions 1. What were the potential advantages of developing clean meat?
What were the challenges of developing it and bringing it to market? 2. What kinds of
organizations were involved in developing clean meat? What were the different resources
that each kind of organization brought to the innovation? 3. Do you think people will be
willing to eat clean meat? Can you think of other products or services that faced similar
adoption challenges? a Adapted from a NYU teaching case by Paul Shapiro and Melissa
Schilling. Friedman, Z., “Why Bill Gates and Richard Branson Invested in ‘Clean’ Meat,”

Forbes (August 2017). c Tuomisto, H. L., and M. J. de Mattos, “Environmental Impacts of
Cultured Meat Production,” Environmental Science and Technology 14(2011): 6117–2123.
d Shapiro, P. Clean Meat: How Growing Meat without Animals Will Revolutionize Dinner
and the World (New York: Gallery Books, 2018), 35. e Shapiro, P. Clean Meat: How Growing
Meat without Animals Will Revolutionize Dinner and the World (New York: Gallery Books,
2018), 60. f “Could a Test-Tube Burger Save the Planet?” Washington Post, August 5, 2013. g
Shapiro, P. Clean Meat: How Growing Meat without Animals Will Revolutionize Dinner and
the World (New York: Gallery Books, 2018), 113. h Shapiro, P. Clean Meat: How Growing
Meat without Animals Will Revolutionize Dinner and the World (New York: Gallery Books,
2018), 115. i Shapiro, P. Clean Meat: How Growing Meat without Animals Will Revolutionize
Dinner and the World (New York: Gallery Books, 2018), 118. j Friedman, Z., “Why Bill Gates
and Richard Branson Invested in ‘Clean’ Meat,” Forbes (August 2017). b Chapter 2 Sources
of Innovation 19 OVERVIEW innovation The practical implementation of an idea into a new
device or process. Innovation can arise from many different sources. It can originate with
individuals, as in the familiar image of the lone inventor or users who design solutions for
their own needs. Innovation can also come from the research efforts of universities,
government laboratories and incubators, or private nonprofit organizations. One primary
engine of innovation is firms. Firms are well suited to innovation activities because they
typically have greater resources than individuals and a management system to marshal
those resources toward a collective purpose. Firms also face strong incentives to develop
differentiating new products and services, which may give them an advantage over
nonprofit or government-funded entities. An even more important source of innovation,
however, does not arise from any one of these sources, but rather the linkages between
them. Networks of innovators that leverage knowledge and other resources from multiple
sources are one of the most powerful agents of technological advance.1 We can thus think of
sources of innovation as composing a complex system wherein any particular innovation
may emerge primarily from one or more components of the system or the linkages between
them (see Figure 2.1). In the sections that follow, we will first consider the role of creativity
as the underlying process for the generation of novel and useful ideas. We will then
consider how creativity is transformed into innovative outcomes by the separate
components of the innovation system (individuals, firms, etc.), and through the linkages
between different components (firms’ relationships with their customers, technology
transfer from universities to firms, etc.). FIGURE 2.1 Sources of Innovation as a System
Firms Individuals Private Nonprofits Universities GovernmentFunded Research 20 Part One
Industry Dynamics of Technological Innovation CREATIVITY idea Something imagined or
pictured in the mind. creativity The ability to produce novel and useful work. Innovation
begins with the generation of new ideas. The ability to generate new and useful ideas is
termed creativity. Creativity is defined as the ability to produce work that is useful and
novel. Novel work must be different from work that has been previously produced and
surprising in that it is not simply the next logical step in a series of known solutions.2 The
degree to which a product is novel is a function both of how different it is from prior work
(e.g., a minor deviation versus a major leap) and of the audience’s prior experiences.3 A
product could be novel to the person who made it, but known to most everyone else. In this

case, we would call it reinvention. A product could be novel to its immediate audience, yet
be well known somewhere else in the world. The most creative works are novel at the
individual producer level, the local audience level, and the broader societal level.4
Individual Creativity An individual’s creative ability is a function of his or her intellectual
abilities, -knowledge, personality, motivation, and environment. The most important
intellectual abilities for creative thinking include intelligence, memory, the ability to look at
problems in unconventional ways, the ability to analyze which ideas are worth pursuing
and which are not, and the ability to articulate those ideas to others and convince others
that the ideas are worthwhile. One important intellectual ability for creativity is a person’s
ability to let their mind engage in a visual mental activity termed primary process
thinking.5 Because of its unstructured nature, primary process thinking can result in
combining ideas that are not typically related, leading to what has been termed remote
associations or divergent thinking. Sigmund Freud noted that primary process thinking was
most likely to occur just before sleep or while dozing or daydreaming; others have observed
that it might also be common when distracted by physical exercise, music, or other
activities. Creative people may make their minds more open to remote associations and
then mentally sort through these associations, selecting the best for further consideration.
Having excellent working memory is useful here too—individuals with excellent working
memory may be more likely or more able to search longer paths through the network of
associations in their mind, enabling them to arrive at a connection between two ideas or
facts that seem unexpected or strange to others.6 A connection that appears to be random
may not be random at all—it is just difficult for other people to see the association because
they are not following as long of a chain of associations. Consistent with this, studies by
professors Mathias Benedek and Aljoscha Neubauer found that highly creative people
usually follow the same association paths as less creative people—but they do so with such
greater speed that they exhaust the common associations sooner, permitting them to get to
less common associations earlier than others would.7 Benedek and Neubauer’s research
argues that highly creative people’s speed of association is due to exceptional working
memory and executive control. In other words, the ability to hold many things in one’s mind
simultaneously Chapter 2 Sources of Innovation 21 and maneuver them with great
facileness enables a person to rapidly explore many possible associations.8 The impact of
knowledge on creativity is somewhat double-edged. If an individual has too little knowledge
of a field, he or she is unlikely to understand it well enough to contribute meaningfully to it.
On the other hand, if an individual knows a field too well, that person can become trapped
in the existing logic and paradigms, preventing him or her from coming up with solutions
that require an alternative perspective. Thus, an individual with only a moderate degree of
knowledge of a field might be able to produce more creative solutions than an individual
with extensive -knowledge of the field, and breakthrough innovations are often developed
by outsiders to a field.9 Consider, for example, Elon Musk. Elon Musk developed a city
search Web portal called Zip2 in college, then founded an Internet financial payments
company that merged with a rival and developed the PayPal financial payment system.
Then after selling PayPal, Musk decided to found SpaceX to develop reusable rockets, and
also became part of the founding team of Tesla Motors, an electric vehicle company. Tesla

subsequently acquired Solar City (a solar panel company that Elon Musk had helped his
cousins create) and diversified into energy storage and more. Musk crosses boundaries
because he enjoys tackling new, difficult problems. He has been able to be successful in a
wide range of industries in part because he challenges the traditional models in those
industries.10 For example, SpaceX was able to dramatically decrease the price of rocket
components by building them in-house, and Solar City was able to dramatically increase
solar panel adoption by offering a business model based on leasing that gave customers the
option of putting no money down and paying for the panels with part of their energy
savings. Another great example is provided by Gavriel Iddan, a guided missile designer for
the Israeli military who invented a revolutionary way to allow doctors to see inside a
patient’s gastrointestinal system. The traditional approach for obtaining images inside the
gut is a camera on the end of a long flexible rod. This method is quite uncomfortable, and
cannot reach large portions of the small intestine, but it was the industry standard for many
decades. Most gastroenterologists have invested in significant training to use endoscopic
tools, and many have also -purchased endoscopic equipment for their clinics. Not
surprisingly then, most innovation in this domain has focused on incremental
improvements in the rod, cameras, and imaging software. Iddan, however, approached the
problem of viewing the inside of the gut like a guided missile designer—not a
gastroenterologist. He did not have the same assumptions about the need to control the
camera with a rod, nor to transmit images with a wire. Instead, he invented a capsule (called
the PillCam) with a power source, a light source, and two tiny cameras that the patient can
swallow. The patient then goes about her day while the camera pill broadcasts images to a
video pack worn by the patient. Roughly eight hours later, the patient returns to the
doctor’s office to have the images read by a software algorithm that can identify any
locations of bleeding (the camera pill exits naturally). The PillCam has proven to be safer
and less expensive than traditional endoscopy (the PillCam costs less than $500), and it is
dramatically more comfortable. For patients, the camera pill 22 Part One Industry Dynamics
of Technological Innovation was a no brainer; getting doctors to adopt it has been slower
because of their existing investment and familiarity with endoscopy. The PillCam is now
sold in more than 60 countries, and several companies now offer competing products. The
camera pill is a remarkable solution to a difficult problem, and it is easy to see why it came
from an outsider, rather than an endoscope producer.11 Outsiders often face resistance and
skepticism. People tend to discount generalists and are suspicious of people who engage in
activities that seem inconsistent with their identity. Outsiders like Musk, however, bring an
advantage that insiders and industry veterans often lack. They aren’t trapped by the
paradigms and assumptions that have long become calcified in industry veterans, nor do
they have the existing investments in tools, expertise, or supplier and customer
relationships that make change difficult and unappealing. The personality trait most often
associated with creativity is “openness to experience.”12 Openness to experience reflects
an individual’s use of active imagination, aesthetic sensitivity (e.g., the appreciation for art
and literature), attentiveness to emotion, a preference for variety, and intellectual curiosity.
It is assessed by asking individuals to rate their degree of agreement or disagreement with
statements such as “I have a vivid imagination,” “I enjoy hearing new ideas,” “I have a rich

vocabulary,” “I rarely look for deeper meaning in things” (reversed), “I enjoy going to art
museums,” “I avoid philosophical discussions” (reversed), “I enjoy wild flights of fantasy,”
and more. Individuals who score high on the openness to experience dimension tend to
have great intellectual curiosity, are interested in unusual ideas, and are willing to try new
things. Intrinsic motivation has also been shown to be very important for creativity.13 That
is, individuals are more likely to be creative if they work on things they are genuinely
interested in and enjoy. In fact, several studies have shown that creativity can be
undermined by providing extrinsic motivation such as money or awards.14 This raises
serious questions about the role played by idea collection systems in organizations that
offer monetary rewards for ideas. On the one hand, such extrinsic rewards could derail
intrinsic motivation. On the other hand, if the monetary rewards are small, such systems
may be primarily serving to invite people to offer ideas, which is a valuable signal about the
culture of the firm. More research is needed in this area to know exactly what kind of
solicitation for ideas, if any, is most effective. Finally, to fully unleash an individual’s creative
potential usually requires a supportive environment with time for the individual to explore
their ideas independently, tolerance for unorthodox ideas, a structure that is not overly
rigid or hierarchical, and decision norms that do not require consensus.15 Organizational
Creativity The creativity of the organization is a function of creativity of the individuals
within the organization and a variety of social processes and contextual factors that shape
the way those individuals interact and behave.16 An organization’s overall creativity level is
thus not a simple aggregate of the creativity of the individuals it employs. The
organization’s structure, routines, and incentives could thwart individual creativity or
amplify it. Chapter 2 Sources of Innovation 23 intranet A private network, accessible only to
authorized individuals. It is like the Internet but operates only within (“intra”) the
organization. The most familiar method of a company tapping the creativity of its individual
employees is the suggestion box. In 1895, John Patterson, founder of National Cash Register
(NCR), created the first sanctioned suggestion box program to tap the ideas of the hourly
worker.17 The program was considered revolutionary in its time. The originators of
adopted ideas were awarded $1. In 1904, employees submitted 7000 ideas, of which one-
third were adopted. Other firms have created more elaborate systems that not only capture
employee ideas, but incorporate mechanisms for selecting and implementing those ideas.
Google, for example, utilizes an idea management system whereby employees e-mail their
ideas for new products and processes to a company-wide database where every employee
can view the idea, comment on it, and rate it (for more on how Google encourages
innovation, see the Theory in Action on Inspiring Innovation at Google). Honda of America
utilizes an employee-driven idea system (EDIS) whereby employees submit their ideas, and
if approved, the employee who submits the idea is responsible for following through on the
suggestion, overseeing its progress from concept to implementation. Honda of America
reports that more than 75 percent of all ideas are implemented.18 Bank One, one of the
largest holding banks in the United States, has created an employee idea program called
“One Great Idea.” Employees access the company’s idea repository through the company’s
intranet. There they can submit their ideas and actively interact and collaborate on the
ideas of others.19 Through active exchange, the employees can evaluate and refine the

ideas, improving their fit with the diverse needs of the organization’s stakeholders. At Bank
of New York Mellon they go a step further—the company holds enterprise-- wide
innovation competitions where employees form their own teams and compete in coming up
with innovative ideas. These ideas are first screened by judges at both the regional and
business-line level. Then, the best ideas are pitched to senior management in a “Shark Tank”
style competition that is webcast around the world. If a senior executive sees an idea they
like, they step forward and say they will fund it and run with it. The competition both helps
the company come up with great ideas and sends a strong signal to employees about the
importance of innovation.20 Idea collection systems (such as suggestion boxes) are
relatively easy and inexpensive to implement, but are only a first step in unleashing
employee creativity. Today companies such as Intel, Motorola, 3M, and Hewlett-Packard go
to much greater lengths to tap the creative potential embedded in employees, including
investing in creativity training programs. Such programs encourage managers to develop
verbal and nonverbal cues that signal employees that their thinking and autonomy are
respected. These cues shape the culture of the firm and are often more effective than
monetary rewards—in fact, as noted previously, sometimes monetary rewards undermine
creativity by encouraging employees to focus on extrinsic rather than intrinsic
motivation.21 The programs also often incorporate exercises that encourage employees to
use creative mechanisms such as developing alternative scenarios, using analogies to
compare the problem with another problem that shares similar features or structure, and
restating the problem in a new way. One product design firm, IDEO, even encourages
employees to develop mock prototypes of potential new products out of inexpensive
materials such as cardboard or styrofoam and pretend to use the product, exploring
potential design features in a tangible and playful manner. Theory in Action Inspiring
Innovation at Google Google is always working on a surprising array of projects, ranging
from the completely unexpected (such as autonomous self-driving cars and solar energy) to
the more mundane (such as e-mail and cloud services).a In pursuit of continuous innovation
at every level of the company, Google uses a range of formal and informal mechanisms to
encourage its employees to innovate:b 20 Percent Time: All Google engineers are
encouraged to spend 20 percent of their time working on their own projects. This was the
source of some of Google’s most famous products (e.g., Google Mail, Google News).
Recognition Awards: Managers were given discretion to award employees with “recognition
awards” to celebrate their innovative ideas. Google Founders’ Awards: Teams doing
outstanding work could be awarded substantial stock grants. Some employees had become
millionaires from these awards alone. Adsense Ideas Contest: Each quarter, the Adsense
online sales and operations teams reviewed 100 to 200 submissions from employees
around the world, and selected finalists to present their ideas at the quarterly contest.
Innovation Reviews: Formal meetings where managers present ideas originated in their
divisions directly to founders Larry Page and Sergey Brin, as well as to CEO Eric Schmidt.c a
Bradbury, D. 2011. Google’s rise and rise. Backbone, Oct:24–27. b Groysberg, B., Thomas,
D.A. & Wagonfeld, A.B. 2011. Keeping Google “Googley.” Harvard Business School Case
9:409–039. c Kirby, J. 2009. How Google really does it. Canadian Business, 82(18):54–58.
TRANSLATING CREATIVITY INTO INNOVATION Innovation is more than the generation of

creative ideas; it is the implementation of those ideas into some new device or process.
Innovation requires combining a creative idea with resources and expertise that make it
possible to embody the creative idea in a useful form. We will first consider the role of
individuals as innovators, including innovation by inventors who specialize in creating new
products and processes, and innovation by end users. We then will look at innovation
activity that is organized by firms, universities, and government institutions. The Inventor
The familiar image of the inventor as an eccentric and doggedly persistent -scientist may
have some basis in cognitive psychology. Analysis of personality traits of inventors suggests
these individuals are likely to be interested in theoretical and abstract thinking, and have an
unusual enthusiasm for problem solving. One 10-year study of inventors concludes that the
most successful inventors possess the following characteristics: 1. They have mastered the
basic tools and operations of the field in which they invent, but they have not specialized
solely in that field; instead they have pursued two or three fields simultaneously, permitting
them to bring different perspectives to each. 2. They are curious and more interested in
problems than solutions. 24 Theory in Action Dean Kamen In January 2001, an Internet
news story leaked that iconoclastic inventor Dean Kamen had devised a fantastic new
invention—a device that could affect the way cities were built, and even change the world.
Shrouded in secrecy, the mysterious device, code-named “Ginger” and “IT,” became the talk
of the technological world and the general public, as speculation about the technology grew
wilder and wilder. In December of that year, Kamen finally unveiled his invention, the
Segway Human Transporter.a Based on an elaborate combination of motors, gyroscopes,
and a motion control algorithm, the Segway HT was a self-balancing, twowheeled scooter.
Though to many it looked like a toy, the Segway represented a significant advance in
technology. John Doerr, the venture capitalist behind Amazon.com and Netscape, predicted
it would be bigger than the Internet. Though the Segway did not turn out to be a mass
market success, its technological achievements were significant. In 2009, General Motors
and Segway announced that they were developing a twowheeled, two-seat electric vehicle
based on the Segway that would be fast, safe, inexpensive, and clean. The car would run on a
lithium-ion battery and achieve speeds of 35 miles per hour. The Segway was the brainchild
of Dean Kamen, an inventor with more than 150 U.S. and foreign patents, whose career
began in his teenage days of devising mechanical gadgets in his parents’ basement.b Kamen
never graduated from college, though he has since received numerous honorary degrees. He
is described as tireless and eclectic, an entrepreneur with a seemingly boundless
enthusiasm for science and technology. Kamen has received numerous awards for his
inventions, including the Kilby award, the Hoover Medal, and the National Medal of
Technology. Most of his inventions have been directed at advancing health-care technology.
In 1988, he invented the first self-service dialysis machine for people with kidney failure.
Kamen had rejected the original proposal for the machine brought to him by Baxter, one of
the world’s largest medical equipment manufacturers. To Kamen, the solution was not to
come up with a new answer to a known problem, but to instead reformulate the problem:
“What if you can find the technology that not only fixes the valves but also makes the whole
thing as simple as plugging a cassette into a VCR? Why do patients have to continue to go to
these centers? Can we make a machine that can go in the home, give the patients back their

dignity, reduce the cost, reduce the trauma?”c The result was the HomeChoice dialysis
machine, which won Design News’ 1993 Medical Product of the Year award. In 1999,
Kamen’s company, DEKA Research, introduced the IBOT Mobility System, an extremely
advanced wheelchair incorporating a sophisticated balancing system that enabled users to
climb stairs and negotiate sand, rocks, and curbs. According to Kamen, the IBOT “allowed a
disabled person, a person who cannot walk, to basically do all the ordinary things that you
take for granted that they can’t do even in a wheelchair, like go up a curb.”d It was the
IBOT’s combination of balance and mobility that gave rise to the idea of the Segway. a J.
Bender, D. Condon, S. Gadkari, G. Shuster, I. Shuster, and M. A. Schilling, “Designing a New
Form of Mobility: Segway Human Transporter,” New York University teaching case, 2003. b
E. I. Schwartz, “The Inventor’s Play-Ground,” Technology Review 105, no. 8 (2002), pp. 68–
73. c Ibid. d T…

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