Connected Strategy

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Connected Strategy Page 23

by Nicolaj Siggelkow


  deconstruction

  business application of, 225–228

  dimensions of, 198–201, 202t–203t

  worksheet for, 226w

  deep learning, 84–85

  delivery model, 3–4, 3f

  See also connection architecture; revenue models; technology infrastructure

  diagnostic questions, 50–51

  Didi, 29

  digital twins, 212

  Disney MagicBand

  competitive advantage of, 2, 235

  connection architecture, 6–7, 100–101, 152–153, 170

  as innovation of existing technology, 208, 215

  revenue model, 14

  rewards of, 34

  Dollar Shave Club, 174

  DonorsChoose.org, 164

  Dragon Dictate, 210

  drone delivery, 213

  Dropbox, 186

  dynamic pricing, 35–41, 178

  Earnest, 149–150

  EasyTaxi app, 33

  eBay, 164

  economies of scale, 114–115

  ecosystem, 184–185

  education, efficiency frontier in, 94–98, 95f

  efficiency frontier

  competitive advantage and, 5, 42–43

  concept of, 22–24, 23f

  disruptive potential of, 47

  in education, 94–98, 95f

  in grocery retailing, 24–29

  Pareto dominance and, 30, 241

  in ride-hailing industry, 29, 31

  sketching, 55–59

  worksheet for, 56w

  See also willingness-to-pay

  eHarmony, 41

  episodic interactions

  See repeated interactions

  e-scooter industry, 156

  European Union General Data Protection Regulation, 117, 193

  Expedia, 158–159, 171

  external search, 248

  Facebook, 13, 46, 159, 161, 190, 192

  fees-at-risk revenue model, 184

  financial services

  connected producers, 149–150

  crowd orchestrators, 161–162

  customer needs in, 147–148

  peer-to-peer network creators, 165–168

  fit attributes, 52–53

  Fitbit, 83, 176–177

  Ford, Henry, 91

  freemium revenue models, 186–187

  friction, 53

  See also cost reduction

  fulfillment cost

  definition of, 23

  in education, 95, 95f

  in meal-kit delivery services, 25–26

  reduction of, 136–141

  See also efficiency frontier

  gaming industry, 80, 187

  General Data Protection Regulation, 117, 193

  General Motors, 151

  GetTaxi app, 33

  Gillette, 174

  Gobble, 154

  Gogoro, 156

  Goodr, 39

  Google

  AdWords, 190

  connection architecture, 152, 159, 161

  Nest thermostat, 196

  revenue models, 186, 188, 190

  voice recognition technology, 210–211

  Grab, 29

  Green Chef, 154

  grocery retailing

  efficiency frontier in, 22–24, 23f

  willingness-to-pay, 27–29

  See also meal-kit delivery services

  haggling, 178

  health care space, revenue models for

  See revenue models

  Heller, 212

  HelloFresh, 24, 43, 154

  Hema app (Alibaba), 28, 29f

  hidden Markov chains, 210

  hierarchy of needs, 108, 112–114, 142, 144, 152, 189, 232

  HomeAway, 38

  Homeplus app (Tesco), 28, 29f

  hovering, automatic, 11, 83, 87, 109

  HP Instant Ink program, 77, 79

  IBM, 152, 186, 210

  in-app purchases, 187

  Indian grocery market, 27

  information, limitations in, 178, 180

  information flow

  dimensions of, 79–83, 81t

  identifying and documenting, 131–133

  worksheet for, 132w

  infrastructure-as-a-service revenue model, 186

  innovation, 209–213, 236–237, 249

  Instacart, 26–27, 171

  Instagram, 192

  Instant Ink program (HP), 77, 79

  Internet of Things, xi, 10, 77, 212

  iRobot Roomba, 196

  IronPlanet, 159, 160

  JD, 29

  Jobs, Steve, 205, 208

  Kayak, 38–39

  Khan, Salman, 92, 95–96

  Khan Academy, 92

  Kickstarter, 161–162, 171

  learning analytics

  customer-level learning, 101–103, 103f, 134–136

  population-level learning, 103–107, 107f

  repeat dimension and, 110–115, 112f

  LendingTree, 157

  LinkedIn, 167, 186–187, 190

  loan providers

  See financial services

  L’Oréal, 76

  Love, Jack, 215

  Lyft, 5, 10, 31, 70, 115

  Lynda.com, 93, 102, 107

  Mack Institute for Innovation Management, 10, 262–263

  MagicBand

  See Disney MagicBand

  market makers, connected, 157–161, 158f, 171

  Markowitz, Harry, 241

  Match.com, 41, 167

  McAfee, Andrew, 11

  McGrath, Rita Gunther, 11

  McGraw-Hill, 2, 7–9, 102

  McMillan, Ian C., 11

  meal-kit delivery services

  curated offering, 71

  efficiency frontier in, 24–29, 27f, 29f

  membership revenues, 166–167

  micropayment revenue models, 187–188

  Microsoft, 186, 210

  Mint, 191

  MyTaxi app, 33

  Nadi X pants, 76

  Nalebuff, Barry J., 11

  needs, recognition of

  See recognition of needs

  Nest thermostat, 196

  Netflix, 71, 82, 113, 155, 171

  Netsuite, 186

  network effects, 115

  neural networks, 85

  New York City cab operations, 32–35, 37

  Niantic, 14

  Nike, 7, 167, 170, 186

  Nintendo, 14

  not-for-profit crowd orchestrators, 164–165

  Ola, 29

  OnDeck, 149–150

  OpenTable, 38, 159

  Organisation for Economic Co-operation and Development, 117

  ownership, cost of, 52–55

  P2P

  See peer-to-peer (P2P) network creators

  pain points

  identification of, 126–130, 136–141

  in ride-hailing industry, 31–35

  worksheets for, 130w, 139w

  Pareto dominance, 30, 241

  PatientsLikeMe, 41

  pay-as-you-go revenue model, 185–188

  pay-for-data revenue model, 192–193

  pay-for-performance revenue model, 183–184

  pay-with-data revenue model, 190–193

  PeachDish, 154

  peer-to-peer (P2P) network creators, 165–168, 168f, 172

  performance, pricing contingent on, 183–184

  performance attributes, 52

  personalization

  See customization

  PillsyCap, 176

  platform-as-a-service revenue model, 186

  platform strategies, 12–13

  population-level learning, 103–107, 107f

  Porter, Michael E., 11, 57

  posted prices, 178

  power purchase agreements (PPAs), 184

  Priceline, 158–159, 171

  pricing

  dynamic, 178

  posted prices, 178

  surge, 35–41

  See also revenue models

  privacy
concerns, 44–46, 116–118, 144

  producers, connected, 148–153, 149f, 170–171

  product handoff function, 208

  Progressive Insurance, 151–152

  Prosper, 161

  Purple Carrot, 154

  QQ Show, 187

  reacting technologies, 228

  recognition of needs

  in repeated interactions, 98–101

  role of, 3, 64–67, 66t, 199

  STAR approach to, 200–201, 203t–204t

  why-how ladder, 107–110, 109f, 133–134

  referral fees, 191

  reinvestment into relationships, 189–190

  Rent the Runway, 155

  repeated interactions

  competitive advantage and, 110–115, 112f

  customer-level learning in, 101–103, 103f, 134–136

  data-protection policies, 116–118

  examples of, 91–94

  improving customer experiences with, 141–144

  population-level learning in, 103–107, 107f

  recognition of needs in, 107–110

  role in connected strategy framework, 3–4, 199

  STAR approach to, 200–201, 202t–203t

  summary of, 118–119

  unified customer experiences across, 98–101

  worksheet for, 143w

  See also trust

  requests

  role in connected strategy framework, 3, 64–67, 66f, 199

  STAR approach to, 200–201, 202t–203t

  strengthening through repeated interactions, 101–103

  respond-to-desire customer experience

  characteristics of, 6–7, 67–70, 69f

  information flow in, 81t, 82

  use cases for, 86–87, 88t

  response

  role in connected strategy framework, 3, 64–67, 66f, 199

  STAR approach to, 200–201, 202t–203t

  strengthening through repeated interactions, 103–107, 107f

  See also respond-to-desire customer experience

  retailers, connected, 153–157, 153f, 171

  retinal photographs, insurance reimbursement of, 181–182

  revenue models

  complementary products, 167

  creation of, 222, 224

  definition of, 174

  ecosystem for, 184–185

  examples of, 173–177

  fees for information, 167

  limitations of, 179–181

  pay-as-you-go, 185–188

  pay-for-data, 192–193

  pay-for-performance, 183–184

  pay-with-data, 190–193

  reinvestment into relationship, 189–190

  role in connected strategy framework, 4, 14

  summary of, 193–194

  traditional, 178–179

  transaction or membership revenues, 166–167

  value creation, 181–183

  See also cost reduction

  ride-hailing industry

  competitive advantage in, 42–43

  cost reduction in, 35–41

  customer experience in, 5

  disruptive potential of, 47

  efficiency frontier in, 29, 31

  network effect, 115

  pain points in, 31–35, 34t

  surge pricing in, 35–41

  Robert Bosch, 156

  Rolls-Royce, 16, 183–184

  Roomba, 196

  Salesforce, 152, 186

  search, external, 248

  selection tables, 198, 248

  sensing technologies, 225, 227

  Sensoria, 76

  sensors, wearable, 76

  Shiseido, 73

  Siri, 210

  SmartInhaler, 106

  software-as-a-service revenue model, 186

  South Korean grocery market, 27–28

  Square, 104–105

  stack framework, 201, 205–206

  STAR (sense-transmit-analyze-react) approach, 200–201, 202t–203t

  Stuart, Harborne W., Jr., 11

  Sun Basket, 154

  supply chain, 184

  surge pricing, 35–41

  Sweeten, 159

  Target, 45–46

  technology infrastructure

  classification trees for, 206–208, 207f

  deconstruction of, 198–201, 202t–203t, 225–228

  design alternatives for, 206–208, 209t

  identification of, 228–231

  importance of, 14–15

  innovation in, 209–213, 236–237

  role in connected strategy framework, 4

  sample scenarios for, 195–198

  stack framework, 201, 205–206

  visionary thinking for, 213–215

  worksheet for, 229w–230w

  Tencent, 187–188

  Tesco, 27–28, 29f

  textbooks, smart, 2, 7–9, 34, 92–93, 102

  three-dimensional printing technology, 73, 228

  tipping, virtual, 187–188

  traditional revenue models, 178–179

  training neural networks, 85

  transactional friction, 179, 180

  transaction costs, 53

  See also cost reduction

  transaction revenues, 166–167

  TransferWise, 166

  transmitting technologies, 227

  TripAdvisor, 190

  true personalization, 73

  trust

  data-protection policies, 116–118, 144

  importance of, 44–46, 236

  revenue models and, 178–180

  why-how ladder, 107–110, 109f, 133–134

  Uber

  competitive advantage, 5, 32, 43

  connection architecture, 10, 12, 170–171

  efficiency frontier, 29

  respond-to-desire customer experience, 70

  See also ride-hailing industry

  Uberization, 170

  Vacation Rental by Owners (VRBO), 38

  value creation, 181–183

  Venmo, 165–166

  voice recognition, 209–211

  Volkswagen, 151

  Volocopter, 213

  Volpp, Kevin, 11

  Wallaby Financial, 157–158

  Wawa, 208

  Wealthfront, 153–154

  wearable sensors, 76

  Wearable X, 76

  WeChat, 188

  Weinman, Lynda, 93

  why-how ladder, 107–110, 109f, 133–134

  willingness-to-pay

  definition of, 22

  drivers of, 52–55

  in education, 95, 95f

  identifying drivers of, 126–130

  in meal-kit delivery services, 25

  in ride-hailing industry, 31–35

  worksheets for, 54w, 130w

  See also efficiency frontier

  worksheets

  connected strategy matrix, 219w, 223w

  customer journey, 125w

  deconstruction, 226w

  efficiency frontier, 56w

  information flow, 132w

  pain points, 130w, 139w

  repeated customer experiences, 143w

  technological solutions, 229w–230w

  why-how ladder, 134w

  willingness-to-pay drivers, 54w, 130w

  World of Warcraft, 80

  Wozniak, Steve, 205, 208

  Xerox PARC, 208

  Yandex, 29

  YouTube, 167

  Zalando, 105, 155

  Zipcar, 11, 155–156

  Zipline, 213

  ZocDoc, 38

  ABOUT THE AUTHORS AND ACKNOWLEDGMENTS

  Both of us grew up in Germany but pursued (for Germans) uncommon education paths. After receiving a diplom in business information technology at the University of Mannheim, Christian studied at INSEAD in France to receive his PhD in management. Similarly, after completing German high school, Nicolaj went to Stanford University as an undergraduate, receiving a BA in economics, and then on to Harvard, studying under Michael Porter, to receive a Ph
D in business economics. We both joined the Wharton School of the University of Pennsylvania in 1998 as faculty members, Christian in the Operations, Information and Decisions Department and Nicolaj in the Management Department. Over time, we worked ourselves up the ranks and both now hold endowed chairs. Christian is the Andrew M. Heller Professor and also holds a faculty appointment in Penn’s Perelman School of Medicine. Nicolaj is the David M. Knott Professor and a former department chair of Wharton’s Management Department.

  Our research has appeared in many of the leading academic journals in our fields—Christian focusing on operations management and innovation management, and Nicolaj on strategy and organizational design—including Management Science, the Strategic Management Journal, Administrative Science Quarterly, and the New England Journal of Medicine. We are also members of the editorial boards of key academic journals. Christian is the coauthor of Matching Supply with Demand, a widely used textbook in operations management, and of Innovation Tournaments, a guide for creating and selecting exceptional opportunities within organizations.

  Both of us very much enjoy teaching in our MBA and executive MBA programs. Together, we have won more than fifty teaching awards in the Wharton classroom. One key perk of working at a top business school is the opportunity to present our work in front of many executive audiences. Nicolaj serves as academic director at Wharton Executive Education for two open-enrollment courses on strategy (Creating and Implementing Strategy for Competitive Advantage and Effective Execution of Organizational Strategy), while Christian is academic director for a program on innovation management (Mastering Innovation: From Idea to Value Creation). We have researched with and consulted for more than one hundred different organizations, from small startups to Fortune 500 companies.

  To achieve broader reach in our teaching efforts, both of us have created online courses as well. Christian was the first to launch a massive open online course (MOOC) in business on Coursera. By now, close to one million students have enrolled in his Introduction to Operations Management course, making this one of the largest online courses. Nicolaj is offering an online course titled Business Strategy from Wharton: Competitive Advantage and the course Strategic Management: Competitive and Corporate Strategy, which is part of Wharton’s online certificate on leadership and management.

  Another way in which we have attempted to broaden our reach and have the opportunity to learn is by hosting radio shows on Wharton’s Sirius XM channel. Christian hosts the show Work of Tomorrow, highlighting how technological advances affect the daily operations of many firms, while Nicolaj cohosts Mastering Innovation, which addresses how organizations foster innovation that keeps them going strong year after year.

  Lastly, both of us are codirectors of the Mack Institute for Innovation Management at Wharton. The Mack Institute’s role is to bridge academic research and the world of practice by sponsoring research, conducting conferences, and connecting scholars, business leaders, and students. It was through our work with executive audiences in the classroom and through the Mack Institute that we became inspired to write this book. We observed that firms were connecting to customers in very different ways and were creating new connections between previously unconnected parties in the marketplace. It has been an amazing journey to write this book, allowing us to clarify our thinking and helping others to make more sense of the business world they live in. However, to borrow a phrase from Winston Churchill, we see this book certainly not as the end but only as the end of the beginning of our research into connected strategies. It is an exciting phenomenon that only has just started. Please stay in touch via our website, connected-strategy.com, as our thinking evolves on this subject.

 

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