The double-edged sword of recombination in breakthrough innovation

Strategic Management Journal

Volumn 36, Issue 10, 2015, Pages 1435-1457

  Kaplan, Sarah ^a   Vakili, Keyvan ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b LONDON BUSINESS SCHOOL   (United Kingdom)

Author keywords

breakthrough innovation; cognition; creativity; patents; recombination; topic modeling

Indexed keywords

LOCAL SEARCH (OPTIMIZATION);

BREAKTHROUGH INNOVATIONS; COGNITION; CREATIVITY; PATENTS; RECOMBINATION; TOPIC MODELING;

PATENTS AND INVENTIONS;

EID: 84941187958     PISSN: 01432095     EISSN: 10970266     Source Type: Journal    
DOI: 10.1002/smj.2294     Document Type: Article

References (117)

1. Abrahamson E, Hambrick DC,. 1997. Attentional homogeneity in industries: the effect of discretion. Journal of Organizational Behavior 18: 513-532.
2. Agrawal A, Goldfarb A, Teodoridis F., 2013. Does knowledge accumulation increase the returns to collaboration? NBER working paper 19694, National Bureau of Economic Research, Cambridge, MA. Available at: http://www.nber.org/papers/w19694 (accessed 15 April 2014).
3. Ahuja G,. 2000. Collaboration networks, structural holes, and innovation: a longitudinal study. Administrative Science Quarterly 45 (3): 425-455.
4. Ahuja G, Coff R, Lee P,. 2005. Managerial foresight and attempted rent appropriation: insider trading on knowledge of imminent breakthroughs. Strategic Management Journal 26 (8): 791-808.
5. Ahuja G, Lampert CM,. 2001. Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions. Strategic Management Journal 22 (6-7): 521-543.
6. Albert MB, Narin F, Avery D, McAllister P,. 1991. Direct validation of citation counts as indicators of industrially important patents. Research Policy 20 (3): 251-259.
7. Alcácer J, Gittelman M,. 2006. Patent citations as a measure of knowledge flows: the influence of examiner citations. Review of Economics and Statistics 88 (4): 774-779.
8. Alcácer J, Gittelman M, Sampat B,. 2009. Applicant and examiner citations in U.S. patents: an overview and analysis. Research Policy 38 (2): 415-427.
9. Amabile TM,. 1983. The social-psychology of creativity-a componential conceptualization. Journal of Personality and Social Psychology 45 (2): 357-376.
10. Amabile TM, Pillemer J,. 2012. Perspectives on the social psychology of creativity. Journal of Creative Behaviour 46 (1): 3-15.
11. Audia PG, Goncalo JA,. 2007. Past success and creativity over time: a study of inventors in the hard disk drive industry. Management Science 53 (1): 1-15.
12. Azoulay P, Ding W, Stuart T,. 2007. The determinants of faculty patenting behavior: demographics or opportunities? Journal of Economic Behavior & Organization 63 (4): 599-623.
13. Azoulay P, Stuart T, Wang Y,. 2014. Matthew: effect or fable? Management Science 60 (1): 92-109.
14. Baron RM, Kenny DA,. 1986. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51 (6): 1173-1182.
15. Benner M, Waldfogel J,. 2008. Close to you? Bias and precision in patent-based measures of technological proximity. Research Policy 37 (9): 1556-1567.
16. Bessen J,. 2008. The value of US patents by owner and patent characteristics. Research Policy 37 (5): 932-945.
17. Blei DM,. 2012. Probabilistic topic models. Communications of the ACM 55 (4): 77-84.
18. Blei DM, Lafferty JD,. 2007. A correlated topic model of science. Annals of Applied Statistics 1 (2): 634-642.
19. Blei DM, Ng AY, Jordan M,. 2003. Latent dirichlet allocation. Journal of Machine Learning Research 3: 993-1022.
20. Bresnahan TF, Trajtenberg M,. 1995. General purpose technologies: engines of growth? Journal of Econometrics 65 (1): 83-108.
21. Campbell D,. 1960. Blind variation and selective retention in creative thought as in other knowledge processes. Psychological Review 67 (6): 380-400.
22. Chang J, Boyd-Graber J, Wang C, Gerrish S, Blei D., 2009. Reading tea leaves: how humans interpret topic models. In Proceedings of Neutral Information Processing Systems. Vancouver, B.C., Canada. Available at: http://goo.gl/QzeEv9 (accessed 15 April 2014).
23. Cho HJ, Pucik V,. 2005. Relationship between innovativeness, quality, growth, profitability, and market value. Strategic Management Journal 26 (6): 555-575.
24. Cockburn IM, Henderson RM,. 1998. Absorptive capacity, coauthoring behavior, and the organization of research in drug discovery. Journal of Industrial Economics 46 (2): 157-182.
25. Conti R, Gambardella A, Mariani M,. 2014. Learning to be Edison? Individual inventive experience and breakthrough inventions. Organization Science 25 (3): 833-849.
26. Csikszentmihalyi M,. 1996. Creativity: Flow and the Psychology of Discovery and Invention. HarperCollins Publishers: New York.
27. Dahlin KB, Behrens DM,. 2005. When is an invention really radical? Defining and measuring technological radicalness. Research Policy 34 (5): 717-737.
28. Deng Z, Lev B, Narin F,. 1999. Science and technology as predictor of stock performance. Financial Analysts Journal 53 (3): 20-32.
29. DiMaggio P, Nag M, Blei D,. 2013. Exploiting affinities between topic modeling and the sociological perspective on culture: application to newspaper coverage of government arts funding in the U.S. Poetics 41 (6): 570-606.
30. Duguet E, MacGarvie M,. 2005. How well do patent citations measure flows of technology? Evidence from French innovation surveys. Economics of Innovation and New Technology 14 (5): 375-393.
31. Duriau VJ, Reger RK, Pfarrer MD,. 2007. A content analysis of the content analysis literature in organization studies: research themes, data sources, and methodological refinements. Organizational Research Methods 10 (1): 5-34.
32. Efron B, Tibshirani R,. 1993. An Introduction to the Bootstrap. Chapman and Hall: New York.
33. Emma P,. 2006. How to write a patent. IEEE Micro 26 (1): 143-144.
34. Ethiraj SK, Levinthal D,. 2004. Modularity and innovation in complex systems. Management Science 50 (2): 159-173.
35. Fleming L,. 2001. Recombinant uncertainty in technological search. Management Science 47 (1): 117-132.
36. Furman JL, Stern S,. 2011. Climbing atop the shoulders of giants: the impact of institutions on cumulative research. American Economic Review 101 (5): 1933-1963.
37. Gavetti G, Levinthal D,. 2000. Looking forward and looking backward: cognitive and experiential search. Administrative Science Quarterly 45 (1): 113-137.
38. Gittelman M, Kogut B,. 2003. Does good science lead to valuable knowledge? Biotechnology firms and the evolutionary logic of citation patterns. Management Science 49 (4): 366-382.
39. Griliches Z,. 1990. Patent statistics as economic indicators-a survey. Journal of Economic Literature 28 (4): 1661-1707.
40. Grimmer J, Stewart BM,. 2013. Text as data: the promise and pitfalls of automatic content analysis methods for political texts. Political Analysis 21 (3): 267-297.
41. Grun B, Hornik K,. 2011. Topic models: an R package for fitting topic models. Journal of Statistical Software 40 (13): 1-30.
42. Guilford JP,. 1967. The Nature of Human Intelligence. McGraw-Hill: New York.
43. Hall BH,. 2002. A note on the bias of herfindahl-type measures based on count data. In Patents, Citations, and Innovations, Jaffe A, Trajtenberg M, (eds). MIT Press: Cambridge, MA; 454-459.
44. Hall BH, Jaffe A, Trajtenberg M,. 2001. The NBER patent citation data file: lessons, insights, and methodological tools. NBER working paper 8498, National Bureau of Economic Research, Cambridge, MA. Available at: http://www.nber.org/papers/w8498 (accessed 15 April 2014).
45. Hall BH, Jaffe A, Trajtenberg M,. 2005. Market value and patent citations. RAND Journal of Economics 36 (1): 16-38.
46. Hall D, Jurafsky D, Manning CD,. 2008, Studying the histories of ideas using topic models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Honolulu, Hawaii. Avilable at: http://dl.acm.org/citation.cfm?id=1613763 (accessed 15 April 2014).
47. Hannan MT, Põlos L, Carroll G,. 2007. Logics of Organization Theory: Audiences, Codes, and Ecologies. Princeton University Press: Princeton, NJ.
48. Hargadon A, Sutton RI,. 1997. Technology brokering and innovation in a product development firm. Administrative Science Quarterly 42 (4): 716-749.
49. Harhoff D, Narin F, Scherer FM, Vopel K,. 1999. Citation frequency and the value of patented inventions. Review of Economics and Statistics 81 (3): 511-515.
50. Hegde D, Sampat B,. 2009. Examiner citations, applicant citations, and the private value of patents. Research Policy 105 (3): 287-289.
51. Helpman E,. 1998. Diffusion of general purpose technologies. In General Purpose Technologies and Economic Growth, Helpman E, (ed). MIT Press: Cambridge, MA; 85-117.
52. Henderson R, Jaffe AB, Trajtenberg M,. 1998. Universities as a source of commercial technology: a detailed analysis of university patenting, 1965-1988. Review of Economics and Statistics 80 (1): 119-127.
53. Hsu G, Kocak O, Hannan MT,. 2009. Multiple category memberships in markets: an integrative theory and two empirical tests. American Sociological Review 74 (1): 150-169.
54. Huff AS,. 1990. Mapping Strategic Thought. John Wiley and Sons: Chichester, NY.
55. Iacobucci D,. 2012. Mediation analysis and categorical variables: the final frontier. Journal of Consumer Psychology 22 (4): 582-594.
56. Iacobucci D, Saldanha N, Deng X,. 2007. A meditation on mediation: evidence that structural equations models perform better than regressions. Journal of Consumer Psychology 17 (2): 140-154.
57. Jaffe AB,. 1986. Technological opportunity and spillovers of research-and-development-evidence from firms patents, profits, and market value. American Econonomic Review 76 (5): 984-1001.
58. Jaffe AB, Trajtenberg M, Fogarty M,. 2000. Knowledge spillovers and patent citations: evidence from a survey of inventors. American Economic Review Papers and Proceedings 90 (2): 215-218.
59. Jaffe AB, Trajtenberg M, Henderson R,. 1993. Geographic localization of knowledge spillovers as evidenced by patent citations. Quarterly Journal of Economics 108 (3): 577-598.
60. Jones BF,. 2009. The burden of knowledge and the death of the renaissance man: is innovation getting harder? Review of Economic Studies 76 (1): 283-317.
61. Kaplan S,. 2008. Cognition, capabilities and incentives: assessing firm response to the fiber-optic revolution. Academy of Management Journal 51 (4): 672-695.
62. Kaplan S, Murray F, Henderson R,. 2003. Discontinuities and senior management: assessing the role of recognition in pharmaceutical firm response to biotechnology. Industrial and Corporate Change 12 (2): 203-233.
63. Kaplan S, Tripsas M,. 2008. Thinking about technology: applying a cognitive lens to technical change. Research Policy 37 (5): 790-805.
64. Kennedy MT,. 2005. Behind the one-way mirror: refraction in the construction of product market categories. Poetics 33 (3-4): 201-226.
65. Kenny D., 2013. Mediation with dichotomous outcomes. Working paper. Available at: http://davidakenny.net/doc/dichmed.pdf (accessed 15 April 2014).
66. Kuhn TS,. 1962/1996. The Structure of Scientific Revolutions. University of Chicago Press: Chicago, IL.
67. Kuusi O, Meyer M,. 2007. Anticipating technological breakthroughs: using bibliometric coupling to explore the nanotubes paradigm. Scientometrics 70 (3): 759-777.
68. Lanjouw JO, Schankerman M,. 2004. Patent quality and research productivity: measuring innovation with multiple indicators. Economic Journal 114 (495): 441-465.
69. Leydesdorff L, Cozzens S, Van den Besselaar P,. 1994. Tracking areas of strategic importance using scientometric journal mappings. Research Policy 23 (2): 217-229.
70. Lounsbury M, Rao H,. 2004. Sources of durability and change in market classifications: a study of the reconstitution of product categories in the American mutual fund industry, 1944-1985. Social Forces 82 (3): 969-999.
71. MacKinnon DP, Dwyer JH,. 1993. Estimating mediated effects in prevention studies. Evaluation Review 17: 144-158.
72. March JG,. 1991. Exploration and exploitation in organizational learning. Organization Science 2 (1): 71-87.
73. Mei Q, Shen X, Zhai C,. 2007. Automatic labeling of multinomial topic models. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Jose, California.
74. Merton RK,. 1968. The Matthew effect in science. Science 159 (3810): 56-63.
75. Meyer M, Pereira TS, Persson O, Granstrand O,. 2004. The scientometric world of Keith Pavitt. Research Policy 33 (9): 1405-1417.
76. Mody CC,. 2011. Instrumental Community: Probe Microscopy and the Path to Nanotechnology. MIT Press: Cambridge, MA.
77. Mogoutov A, Kahane B,. 2007. Data search strategy for science and technology emergence: a scalable and evolutionary query for nanotechnology tracking. Research Policy 36 (6): 893-903.
78. Mooney CZ, Duval RD,. 1993. Bootstrapping: A Nonparametric Approach to Statistical Inference. No. 94-95. Sage: Newbury Park, CA.
79. Mowery DC, Oxley JE, Silverman BS,. 1996. Strategic alliances and interfirm knowledge transfer. Strategic Management Journal 17: 77-91.
80. Navis C, Glynn MA,. 2010. How new market categories emerge: temporal dynamics of legitimacy, identity, and entrepreneurship in satellite radio, 1990-2005. Administrative Science Quarterly 55 (3): 439-471.
81. Phene A, Fladmoe-Lindquist K, Marsh L,. 2006. Breakthrough innovations in the U.S. biotechnology industry: the effects of technological space and geographic origin. Strategic Management Journal 27 (4): 369-388.
82. Podolny JM, Stuart TE,. 1995. A role-based ecology of technological change. American Journal of Sociology 100 (5): 1224-1260.
83. Pontikes EG,. 2012. Two sides of the same coin: how ambiguous classification affects multiple audiences' evaluations. Administrative Science Quarterly 57 (1): 81-118.
84. Ramage D, Rosen E, Chuang J, Manning C, McFarland DA,. 2009. Topic modeling for the social sciences. In NIPS 2009 Workshop on Applications for Topic Models: Text and Beyond. Whistler, Canada.
85. Rao H, Monin P, Durand R,. 2005. Border crossing: bricolage and the erosion of categorical boundaries in French gastronomy. American Sociological Review 70 (6): 968-991.
86. Roach M, Cohen WM,. 2013. Lens or prism? Patent citations as a measure of knowledge flows from public research. Management Science 59 (2): 504-525.
87. Rosenberg N,. 1996. Uncertainty and technological change. In The Mosaic of Economic Growth, Landau R, Taylor T, Wright G, (eds). Stanford University Press: Stanford, CA; 334-353.
88. Rosenkopf L, Nerkar A,. 2001. Beyond local search: boundary-spanning, exploration and impact in the optical disc industry. Strategic Management Journal 22 (4): 287-306.
89. Rothaermel FT, Thursby M,. 2007. The nanotech versus biotech revolution: sources of productivity in incumbent firm research. Research Policy 36 (6): 832-849.
90. Ruef M, Nag M,. 2014. The classification of organizational forms: theory and application to the field of higher education. In Remaking College: The Changing Ecology of Higher Education, Stevens ML, Kirst MW, (eds). Stanford University Press: Stanford, CA; 147-160.
91. Ruef M, Patterson K,. 2009. Credit and classification: the impact of industry boundaries in nineteenth-century America. Administrative Science Quarterly 54 (3): 486-520.
92. Rysman M, Simcoe T,. 2008. Patents and the performance of voluntary standard-setting organizations. Management Science 54 (11): 1920-1934.
93. Scherer FM,. 1983. The propensity to patent. International Journal of Industrial Organization 1 (1): 107-128.
94. Scotchmer S,. 1991. Standing on the shoulders of giants-cumulative research and the patent-law. Journal of Economic Perspectives 5 (1): 29-41.
95. Shaver JM,. 2005. Testing for mediating variables in management research: concerns, implications, and alternative strategies. Journal of Management 31 (3): 330-353.
96. Simonton DK,. 1999. Creativity as blind variation and selective retention: is the creative process Darwinian? Psychological Inquiry 10 (4): 309-328.
97. Singh J,. 2005. Collaborative networks as determinants of knowledge diffusion patterns. Management Science 51 (5): 756-770.
98. Singh J, Fleming L,. 2010. Lone inventors as sources of breakthroughs: myth or reality? Management Science 56 (1): 41-56.
99. de Solla Price D,. 1965a. Is technology historically independent of science? A study in statistical historiography. Technology and Culture 6: 553-568.
100. de Solla Price D,. 1965b. Little Science, Big Science. Columbia University Press: New York.
101. Song J, Almeida P, Wu G,. 2003. Learning-by-hiring: when is mobility more likely to facilitate interfirm knowledge transfer? Management Science 49 (4): 351-365.
102. Sørensen JB, Stuart TE,. 2000. Aging, obsolescence, and organizational innovation. Administrative Science Quarterly 45 (1): 81-112.
103. Sternberg RJ,. 1997. Thinking Styles. Cambridge University Press: Cambridge, UK.
104. Sternberg RJ, Lubart TI,. 1995. Defying the Crowd: Cultivating Creativity in a Culture of Conformity. Free Press: New York.
105. Sternberg RJ, O'Hara LA,. 1999. Creativity and intelligence. In Handbook of Creativity, Sternberg RJ, (ed). Cambridge University Press: Cambridge, UK; 251-272.
106. Tan D, Roberts PW,. 2010. Categorical coherence, classification volatility and examiner-added citations. Research Policy 39 (1): 89-102.
107. Taylor A, Greve HR,. 2006. Superman or the fantastic four? Knowledge combination and experience in innovative teams. Academy of Management Journal 49 (4): 723-740.
108. Trajtenberg M,. 1990. A penny for quotes: patent citations and the value of innovations. RAND Journal of Economics 21 (1): 172-187.
109. Trajtenberg M, Henderson R, Jaffe A,. 1997. University versus corporate patents: a window on the basicness of invention. Economics of Innovation and New Technology 5 (1): 19-50.
110. Upham SP, Rosenkopf L, Ungar LH,. 2010. Innovating knowledge communities an analysis of group collaboration and competition in science and technology. Scientometrics 83 (2): 525-554.
111. US Patent and Trademark Office. 2005. Handbook of Classification. United States Government Printing Office: Washington, DC.
112. Weisberg RW,. 1999. Creativity and knowledge: a challenge to theories. In Handbook of Creativity, Sternberg RJ, (ed). Cambridge University Press: Cambridge, UK; 226-250.
113. Whorf BL,. 1956. Science and linguistics. In Language, Thought, and Reality: Selected Writings of Benjamin Lee Whorf, Carroll JB, (ed). MIT Press: Cambridge, MA; 207-219.
114. Wry T, Greenwood R, Jennings PD, Lounsbury M,. 2010. Institutional sources of technological knowledge: a community perspective on nanotechnology emergence. Research in the Sociology of Organizations 29: 149-176.
115. Yoon B, Park Y,. 2005. A systematic approach for identifying technology opportunities: keyword-based morphology analysis. Technological Forecasting and Social Change 72 (2): 145-160.
116. Zhao X, Lynch JG Jr, Chen Q,. 2010. Reconsidering baron and Kenny: myths and truths about mediation analysis. Journal of Consumer Research 37 (2): 197-206.
117. Zuckerman EW,. 1999. The categorical imperative: securities analysts and the illegitimacy discount. American Journal of Sociology 104 (5): 1398-1438.