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    Innovator's DNA

    Page 25
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      Step 2: HOLT then projects future free cash flows over the next thirty-eight years from existing businesses based on fade algorithms developed from an analysis of historical cash flows from over 45,000 firms and more than 500,000 data points. The concept of fade embodies the commonsense notion that competition is the one enduring constant in free markets (à la Schumpeter’s “creative destruction”) and that technological change and changing market dynamics all militate against the persistence of excessively high returns (this is in accord with prior research that consistently shows a “regression to the mean” effect with regard to firm profitability).

      The fade algorithm for a given company is based on the following:

      The forward two-year consensus estimate of ROI level. Firms with higher levels of profitability and ROI maintain higher returns into the future. However, the historical experience of most firms shows a “regression to the mean” effect, meaning that high ROIs will gradually fade toward the average ROI of firms in the economy. The higher the current level of profit, the faster the expected decline. (Firms will tend to maintain their rank order; however, the spread between the top and bottom performers tends to narrow.)

      Historical ROI volatility (over the previous five years). The greater the volatility of ROI historically, the faster the firm’s ROI tends to fade toward the average of all firms going forward. Firms with consistent and stable ROI are more likely to maintain a consistent ROI into the future.

      A company’s reinvestment rate. The faster a company’s recent growth and the greater the amount of cash it has reinvested, the faster the firm’s ROI will fade toward the mean profitability of firms in the economy. It’s hard enough for a management team to maintain high levels of financial performance; doing this while also growing rapidly is even more difficult.

      Step 3: The difference between the company’s total enterprise value (market value of equity plus total debt) and this value of existing business constitutes the innovation premium, expressed as a percentage of the enterprise value.

      While HOLT’s fade algorithm is based specifically on the historical and future projected performance of the given firm, it may appear to reflect sector identification or industry position. To the extent that firms in an industry or sector share the characteristics of ROI level, variability, and reinvestment, the pattern of fade will also be similar. There is also an apparent correlation between a company’s fade expectations and its position in the industry, since most industry leaders have higher and more stable rates of ROI and, having been through their growth phase in achieving their leadership position, no longer need to grow at above-average rates.

      We require at least ten years of financial data for a given firm in order for that firm to be considered on our list of most innovative companies. We also use a “research and development” screen requiring that companies make some investment in R&D. Also, to control for size differences, we include only those with a market value greater than $10 billion. In very rare cases when a company derived more than 80 percent of its revenues from a single high-economic-growth market (e.g., India, China), we assumed a small portion of the company’s innovation premium [5 percent of the difference in growth] was derived from domestic market growth rather than entering new products, services, or markets. Accordingly, we made a slight downward adjustment to the firm’s innovation premium, but this only made a minor change in a firm’s ranking and did not move any companies on, or off, the list. The innovation premiums shown in the tables in this chapter reflect a weighted average innovation premium over five years with the weighting as follows: most recent year (30%), years 2–4 (20%), year 5 (10%).

      2. Our ranking must exclude private companies like Virgin (number 16 on the original Businessweek list) and Tata (number 25) because they do not have publicly traded stock and do not report financial results.

      3. Dan Frommer, “Top 10 Disruptors of 2006,” Forbes, January 23, 2007, https​://www​.forbes​.com​/2007​/01​/22​/leadership​-disrupter​-youtube​-lead​-innovation​-cx​_​hc​_​0122lede​_​slide​.html.

      4. A. G. Lafley and Ram Charan, The Game-Changer (New York: Crown Business, 2008), 21.

      Chapter 9

      1. Rama Dev Jager and Rafael Ortiz, In the Company of Giants (NewYork: McGraw-Hill, 1998).

      2. Carmine Gallo, The Innovation Secrets of Steve Jobs (New York: McGraw-Hill, 2011), 31.

      3. Gallo, The Innovation Secrets of Steve Jobs, 96.

      4. “The Deep Dive,” Nightline (ABC News), February 9, 1999.

      5. Julio Vasconcellos and Matt Wyndowe, interview with David Kelley, founder of IDEO, Stanford University’s business and design school, August 21, 2006, http​://sites​.google​.com​/site​/wyndowe​/iinnovateepisode3​:davidkelley​,founderofideo.

      6. “Deep Dive,” Nightline.

      7. Vasconcellos and Wyndowe, interview with David Kelley.

      Chapter 10

      1. Steven Levy, The Perfect Thing: How the iPod Shuffles Commerce, Culture, and Coolness (New York: Simon & Schuster, 2006), 118.

      2. The categorization of innovation projects as “derivative,” “platform,” or “breakthrough” comes from the Aggregate Project Planning framework introduced by Steven C. Wheelwright and Kim B. Clark. See Clayton M. Christensen, “Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process,” HBS No. 301-041 (Boston: Harvard Business School Publishing, 2000, revised 2017).

      3. The concept of aggregate project planning was first introduced in Steven C. Wheelwright and Kim B. Clark, “Creating Project Plans to Focus Product Development,” Harvard Business Review, March–April 1992, 10.

      4. Larry Page and Sergey Brin, “Letter from the Founders: ‘An Owner’s Manual’ for Google’s Shareholders,” Google Inc., Form S-1 Registration, April 29, 2004.

      5. Julia Kirby and Thomas A. Stewart, “The Institutional Yes,” Harvard Business Review, October 2007.

      6. David A. Vise and Mark Malseed, The Google Story (New York: Delacorte Press, 2005), 256.

      7. John Battelle, The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture (New York: Penguin Group, 2005), 141.

      8. Letter to Shareholders. Amazon, 2015, ir.aboutamazon.com/static-files/f124548c-5d0b-41a6-a670-d85bb191fcec.

      9. Richard Branson, “Five Questions on Business Philosophy,” Entrepreneur.com on NBCNews.com, October 23, 2010, http​://www​.nbcnews​.com​/id​/39526296​/ns​/business​-small​_​business​/t​/richard​-branson​-five​-questions​-business​-philosophy​/#.XHbFGINKh7N.

      10. Keith H. Hammonds, “How Google Grows . . . and Grows . . . and Grows,” Fast Company, March 31, 2003.

      11. “Lessons on Designing Innovation,” from an interview with Apple’s Jonathan Ive at the Radical Craft Conference, Art Center College of Design, Pasadena, California, Bloomberg Businessweek, September 25, 2006.

      12. Ken Robinson with Lou Aronica, The Element (New York: Penguin, 2009), 15.

      Appendix C

      1. These online assessments also provide a development guide with your customized assessment report to help you understand your strengths and potential areas of improvement with regard to your discovery skills and delivery (execution) skills. The development guide also helps you build a skill-development plan to leverage your strengths and improve on any major weaknesses that could derail your career.

      2. For a deeper dive on how to build better questioning skills in the next generation, see chapter 8 of Questions Are the Answer: A Breakthrough Approach to Your Most Vexing Problems at Work and in Life, by Hal Gregersen.

      Index

      Abilla, Pete, 206–207

      Aby, Sharon, 203

      action, 247–248

      Activision Blizzard Inc., 166

      Acuson, 208

      Adams, Matt, 217, 219

      Adobe Systems, 170

      Adsense, 228

      Alcon Incorporated, 166

      Alder, Nate, 147, 249

      Alder, Preston
    , 49–50

      Alexa, 139, 231, 233

      Alstom, 7

      Alstom SA, 166

      Amazon, 5. See also Bezos, Jeff

      autonomous business units of, 236–237

      culture of, 171, 172

      experimentation at, 138–140, 215

      hiring processes, 36, 201, 203

      innovation premium, 164, 166, 169

      Kindle, 139, 231, 233

      leadership of, 171–172

      mistakes at, 26

      project teams, 234–235

      resources devoted to innovation at, 233–234

      Two-Pizza Team rule, 175, 235

      AmerisourceBergen, 170

      Amorepacific, 170

      Amritanandamayi, Mata, 42

      analogies, 49–50, 63–64

      analyzing, 31

      Anderson, Chris, 158

      Anderson, Philip, 106

      Angiotech Pharmaceuticals, 74

      anomalies, 105–109

      anthropologists, 94–95

      AppExchange, 167

      Apple, 1, 4, 5, 162. See also Jobs, Steve

      business creation at, 37

      disruptive innovation by, 231

      experimentation at, 143

      hiring practices at, 203

      innovation at, 18–21, 181, 183

      innovation philosophy at, 223–224

      innovation premium, 12, 164, 166, 183

      leadership of, 181, 183

      product creation at, 85

      questioning process at, 207

      resources devoted to innovation at, 233

      risk taking at, 239

      “Think Different” ad campaign, 18, 38, 223–224, 248

      Apple II, 18–19

      Apple QuickTake, 233

      Apple Watch, 231

      architectural innovations, 106

      Ariely, Dan, 227

      Aspen Ideas Festival, 47, 128

      associating, 3, 22–23, 30, 41–65

      comparison of skills in, 51

      defined, 44–45

      diverse experiences and, 45–49

      at innovative companies, 218–219

      innovative ideas and, 41

      process of, 49–52

      tips for developing skills in, 60–65, 263–264

      where it happens, 45–49

      associations

      forcing new, 60–62

      places for new, 58–60

      search for new, 52–58

      unexpected, 49

      Atlassian Labs, 228–229

      Autodesk, 170

      autonomous business units, 236–237

      Azul, 78–79, 129

      Bacon, Penelope, 83

      Bain & Company, 58, 68

      Bean, Dan, 186–187

      Becht, Bart, 213

      behavior

      creativity and, 3, 21, 38

      experimenting, 24

      networking, 24

      observing, 23–24

      questioning, 23

      Beiersdorf AG, 166, 214–215

      Benioff, Marc, 2, 9, 249

      idea creation by, 41–44

      idea generation by, 50, 59

      innovation by, 179, 223

      on innovative companies, 161

      networking by, 121, 174

      social problems addressed by, 244–245

      “better-than-average” effect, 225

      Bezos, Jeff, 2, 6, 8, 9, 17, 249. See also Amazon

      on company culture, 221

      expansion by, 233–234

      experimenting by, 138–140, 143, 174, 215

      five-whys process and, 205–207

      forward thinking by, 26

      hiring process of, 36, 201

      idea networking by, 128

      on innovation at Amazon, 171–172, 223

      innovation by, 179, 180

      on mistakes, 26, 237–238

      motivations of, 25

      observation by, 114

      questioning by, 205–207

      Bharat Heavy Electricals, 166

      Big Idea Group (BIG), 75–76, 99, 190–192

      big picture, 54–55

      BlaBlaCar, 50, 97–99

      BlackBerry, 52–53

      BMW, 164, 165

      Bowen, Kent, 126

      Box, George, 138

      Bozer, Ahmet, 88

      brain, storage of knowledge in, 49

      brainstorming, 87–88, 218–219

      Branson, Richard, 2, 56, 89, 130, 143, 238, 243, 247

      breakthrough ideas, 3

      Brin, Sergey, 53, 228

      building-block ideas, 56–58

      Burt, Ron, 121–122

      business innovation, 194–195. See also innovation

      business life cycles, skills needed throughout, 33–37

      business schools, 37

      Businessweek, 4, 5, 7, 34, 162–164, 165

      Camp, Garrett, 50, 116–118

      Campus Pipeline, 76

      Casino Royale, 117

      Catmull, Ed, 24

      Celgene Corp., 166

      Celltrion, 170

      CEOs

      personal networking groups of, 130–133

      questioning dilemmas for, 83–84

      Charan, Ram, 168

      Chatter, 43–44, 167, 174

      Chery, 165

      children, developing discovery skills in, 262–268

      China, innovation in, 46–47

      Christensen, Clayton, 1–2, 8, 95, 106, 194–195

      Clark, Kim, 106, 231

      cloud computing, 43, 139–140, 165, 233, 236

      Cloyd, Gil, 183

      coach, 261

      Coca-Cola International, 88

      Coda, 165

      Cohen, Orna, 114

      Colgate-Palmolive Co., 167

      Collins, Mike, 75–76, 99, 190–192, 249

      combinations, odd, 52–54

      combinatorial play, 43

      companies. See also innovative companies

      assessing level of innovation of, 177–178

      experience in multiple, 147

      observing, 113, 208–210

      company cultures, 84, 221–241

      competency-destroying changes, 106

      competency-enhancing changes, 106

      competitive advantage, from innovation, 1

      complementary skills, 185–196

      conferences, 135

      Connect + Develop (C&D) initiative, 212

      constraints

      eliminating, 82, 85

      imposing, 81–82

      Cook, Scott, 2, 8, 9, 49, 91, 249

      discovery skills of, 29–30

      on experts, 127

      observing by, 105, 112

      questioning by, 75

      corporate culture, 84, 171, 172–173, 174

      corporate entrepreneurs, 6

      associating skills of, 50

      experimenting skills of, 141

      networking by, 119–120

      observing skills of, 100

      questioning skills of, 72

      counterintuitive questions, 73

      country culture, 84

      courage to innovate, 25–27

      Covey, Stephen, 261

      Cow-Pie Clocks, 144–146

      CPS Technologies, 125–127

      creative communities, 135

      creative thinking, 41

      creativity, 1

      behaviors and, 3, 21, 38

      capacity for, 18

      constraints and, 81–82

      development of, 21–22

      as genetic, 18, 21–22, 28, 38

      making connections and, 45, 60

      questioning as catalyst for, 85–86

      research on, 9

      Crocker, Gary, 101–102, 249

      cross-pollination of ideas, 45, 113

      Csikszentmihalyi, Mihaly, 70

      CSL Limited, 166

      cultures

      differences among, 84

      experience of different, 146

      organizational, 221–241

      curiosity, 10

      curiosity boxes, 64

      customers, observing, 101–104, 112–113, 208–209


      Daimler, 111

      data-driven analysis, 36

      da Vinci system, 168, 208

      Davos conference, 47, 128

      de Bono, Edward, 56

      decline stage, of business life cycle, 36–37

      deconstruction, 148–149, 156–157

      Deep Dive brainstorming, 218

      defocusing attention, 58–59

      delivery-driven executives, 80, 119, 143, 181

      delivery skills, 30–37, 180–181

      as complementary to discovery skills, 185–196

      profile quiz, 38–40

      Dell, Michael, 9, 188, 249

      on complementary skills, 185

      discovery skills of, 29–30

      experimenting by, 142, 143, 148–149

      on innovation at Dell, 131

      questioning by, 86

      Dell Computer, 148–149, 185

      DePuy Synthes, 166

      derivative innovation, 230, 235–236, 246

      desktop publishing, 20–21

      detail-oriented implementing, 31

      details, 54–55

      Dialogue in Silence, 114

      Dialogue in the Dark, 114, 245–246

      Dietz, Doug, 91–94, 95

      disciplined executing, 31

      discovery-driven people. See also innovators

      finding, 200–203

      networking by, 119

      new experiences and, 143–144

      discovery quotient (DQ), 34–35

      discovery skills, 3, 7–8, 180–181

      acquisition of, 22

      assessing your, 259

      associating, 22–23, 30, 41–65

      in business life cycle, 33–37

      in children, developing, 262–268

      combining, 216–220

      complementary, 185–196

      developing, 257–268

      experimenting, 24, 137–158

      improving your, 32

      innovative ideas and, 22–23, 38

      of innovators, 34–35

      need for, 10

      networking, 24, 115–136

      observing, 23–24, 91–114

      practicing, 244, 260

      profile quiz, 38–40

      questioning, 23, 30, 67–90

      return on, 144

      strengths in, 28–30

      success and, 11

      time spent on, 25–27

      Disney, 85. See Walt Disney Company

      Disney, Walt, 44–45

      disposition to act, 247–248

     


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