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Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas

Author

Listed:
  • Laura J. Kornish

    (Leeds School of Business, University of Colorado, Boulder, Colorado 80309)

  • Karl T. Ulrich

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract

A common approach to innovation, parallel search, is to identify a large number of opportunities and then to select a subset for further development, with just a few coming to fruition. One potential weakness with parallel search is that it permits repetition. The same, or a similar, idea might be generated multiple times, because parallel exploration processes typically operate without information about the ideas that have already been identified. In this paper we analyze repetition in five data sets comprising 1,368 opportunities and use that analysis to address three questions: (1) When a large number of efforts to generate ideas are conducted in parallel, how likely are the resulting ideas to be redundant? (2) How large are the opportunity spaces? (3) Are the unique ideas more valuable than those similar to many others? The answer to the first question is that although there is clearly some redundancy in the ideas generated by aggregating parallel efforts, this redundancy is quite small in absolute terms in our data, even for a narrowly defined domain. For the second question, we propose a method to extrapolate how many unique ideas would result from an unbounded effort by an unlimited number of comparable idea generators. Applying that method, and for the settings we study, the estimated total number of unique ideas is about one thousand for the most narrowly defined domain and greater than two thousand for the more broadly defined domains. On the third question, we find a positive relationship between the number of similar ideas and idea value: the ideas that are least similar to others are not generally the most valuable ones. This paper was accepted by Lee Fleming, entrepreneurship and innovation.

Suggested Citation

  • Laura J. Kornish & Karl T. Ulrich, 2011. "Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas," Management Science, INFORMS, vol. 57(1), pages 107-128, January.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:1:p:107-128
    DOI: 10.1287/mnsc.1100.1247
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    References listed on IDEAS

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    1. Jan W. Rivkin & Nicolaj Siggelkow, 2003. "Balancing Search and Stability: Interdependencies Among Elements of Organizational Design," Management Science, INFORMS, vol. 49(3), pages 290-311, March.
    2. Kenneth W. Koput, 1997. "A Chaotic Model of Innovative Search: Some Answers, Many Questions," Organization Science, INFORMS, vol. 8(5), pages 528-542, October.
    3. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey: Part I," Economic Inquiry, Western Economic Association International, vol. 14(2), pages 155-189, June.
    4. Svenja C. Sommer & Christoph H. Loch, 2004. "Selectionism and Learning in Projects with Complexity and Unforeseeable Uncertainty," Management Science, INFORMS, vol. 50(10), pages 1334-1347, October.
    5. Robert A. Baron & Michael D. Ensley, 2006. "Opportunity Recognition as the Detection of Meaningful Patterns: Evidence from Comparisons of Novice and Experienced Entrepreneurs," Management Science, INFORMS, vol. 52(9), pages 1331-1344, September.
    6. Svenja Sommer & Stylianos Kavadias, 2009. "The Effects of Problem Structure and Team Diversity on Brainstorming Effectiveness," Post-Print hal-00491685, HAL.
    7. Jan W. Rivkin & Nicolaj Siggelkow, 2007. "Patterned Interactions in Complex Systems: Implications for Exploration," Management Science, INFORMS, vol. 53(7), pages 1068-1085, July.
    8. Michael Rothschild, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown: A Summary," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 1, pages 293-294, National Bureau of Economic Research, Inc.
    9. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    10. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    11. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    12. Kohn, Meir G. & Shavell, Steven, 1974. "The theory of search," Journal of Economic Theory, Elsevier, vol. 9(2), pages 93-123, October.
    13. Jasjit Singh & Lee Fleming, 2010. "Lone Inventors as Sources of Breakthroughs: Myth or Reality?," Management Science, INFORMS, vol. 56(1), pages 41-56, January.
    14. Karan Girotra & Christian Terwiesch & Karl T. Ulrich, 2010. "Idea Generation and the Quality of the Best Idea," Management Science, INFORMS, vol. 56(4), pages 591-605, April.
    15. Rothschild, Michael, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 689-711, July/Aug..
    16. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    17. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    18. Morgan, Peter & Manning, Richard, 1985. "Optimal Search," Econometrica, Econometric Society, vol. 53(4), pages 923-944, July.
    19. Olivier Toubia, 2006. "Idea Generation, Creativity, and Incentives," Marketing Science, INFORMS, vol. 25(5), pages 411-425, September.
    20. Stylianos Kavadias & Svenja C. Sommer, 2009. "The Effects of Problem Structure and Team Diversity on Brainstorming Effectiveness," Management Science, INFORMS, vol. 55(12), pages 1899-1913, December.
    21. Lori Rosenkopf & Atul Nerkar, 2001. "Beyond local search: boundary‐spanning, exploration, and impact in the optical disk industry," Strategic Management Journal, Wiley Blackwell, vol. 22(4), pages 287-306, April.
    22. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey," Economic Inquiry, Western Economic Association International, vol. 14(3), pages 347-368, September.
    23. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    24. Ely Dahan & Haim Mendelson, 2001. "An Extreme-Value Model of Concept Testing," Management Science, INFORMS, vol. 47(1), pages 102-116, January.
    25. Martin, Xavier & Mitchell, Will, 1998. "The influence of local search and performance heuristics on new design introduction in a new product market," Research Policy, Elsevier, vol. 26(7-8), pages 753-771, April.
    26. Thorbjørn Knudsen & Daniel A. Levinthal, 2007. "Two Faces of Search: Alternative Generation and Alternative Evaluation," Organization Science, INFORMS, vol. 18(1), pages 39-54, February.
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