Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects

Published Online:https://doi.org/10.1287/orsc.1070.0291

References

  • Ahuja G. Collaboration networks, structural holes, and innovation: A longitudinal study. Admin. Sci. Quart. (2000) 45:425–455CrossrefGoogle Scholar
  • Albert M. B., Avery D., Narin F., McAllister P. Direct validation of citation counts as indicators of industrially important patents. Res. Policy (1991) 20:251–259CrossrefGoogle Scholar
  • Allen T.Managing the Flow of Technology (1977) (MIT Press, Boston, MA) Google Scholar
  • Allen T., Cohen S. I. Information flow in R&D laboratories. Admin. Sci. Quart. (1969) 14:12–19CrossrefGoogle Scholar
  • Almeida P., Song J., Grant R. Are firms superior to alliances and markets? An empirical test of cross-border knowledge building. Organ. Sci. (2002) 13:147–161LinkGoogle Scholar
  • Anand B., Khanna T. Do firms learn to create value? The case of alliances. Strategic Management J. (2000) 21:295–316CrossrefGoogle Scholar
  • Anderson P., Tushman M. L. Technological discontinuities and dominant designs: A cyclical model of technological change. Admin. Sci. Quart. (1990) 35:604–633CrossrefGoogle Scholar
  • Arthur W. B. Competing technologies, increasing returns, and lock-in by historical events. Econom. J. (1989) 99:116–131CrossrefGoogle Scholar
  • Ashworth J. W., Carley K. M. Who you know vs. what you know: The impact of social position and knowledge of team performance. J. Math. Soc. (2006) 30:43–75CrossrefGoogle Scholar
  • Audretsch D. B., Stephan P. E. Company-scientist locational links: The case of biotechnology. Amer. Econom. Rev. (1996) 86:641–652Google Scholar
  • Barney J. Strategic factor markets. Management Sci. (1986) 32:1231–1241LinkGoogle Scholar
  • Barney J. Firm resources and sustained competitive advantage. J. Management (1991) 17:99–120CrossrefGoogle Scholar
  • BioScanThe Worldwide Biotechnology Industry Reporting Service (Diverse years) . Thomson, American Health Consultants, Atlanta, GAGoogle Scholar
  • Bower J. L. Not all M&As are alike—And that matters. Harvard Bus. Rev. (2001) 79(3):92–101Google Scholar
  • Cameron A., Trivedi P. Econometric models based on count data: Comparisons and applications of some estimators and tests. J. Appl. Econometrics (1986) 1:29–53CrossrefGoogle Scholar
  • Chesbrough H. W.Open Innovation. The New Imperative for Creating and Profiting from Technology (2003) (Harvard Business School Press, Boston, MA) Google Scholar
  • Christensen C. M.The Innovator's Dilemma. When New Technologies Cause Great Firms to Fail (1997) (Harvard Business School Press, Boston, MA) Google Scholar
  • Cockburn I. M., Henderson R. M., Stern S. Untangling the origins of competitive advantage. Strategic Management J. (2000) 21:1123–1145CrossrefGoogle Scholar
  • Cohen P., Cohen J., West S. G., Aiken L. S.Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (2003) 3rd ed.(Erlbaum, Hillsdale, NJ) Google Scholar
  • Cohen W. M., Levinthal D. A. Innovation and learning: The two faces of R&D. Econom. J. (1989) 99:569–596Google Scholar
  • Cohen W. M., Levinthal D. A. Absorptive capacity: A new perspective on learning and innovation. Admin. Sci. Quart. (1990) 35:128–152CrossrefGoogle Scholar
  • Comanor W. S., Scherer F. M. Patent statistics as a measure of technical change. J. Political Econom. (1969) 77:392–398CrossrefGoogle Scholar
  • Cortina J. M. Interaction, nonlinearity, and multicollinearity: Implications for multiple regression. J. Management (1993) 19:915–922Google Scholar
  • Dansereau F., Yammarino F. J., Kohles J. C. Multiple levels of analysis from a longitudinal perspective: Some implications for theory building. Acad. Management Rev. (1999) 24:346–357CrossrefGoogle Scholar
  • Darby M. R., Zucker L. G. Change or die: The adoption of biotechnology in the Japanese and U.S. pharmaceutical industries. Res. Tech. Innovation, Management, Policy (2001) 7:85–125CrossrefGoogle Scholar
  • Darby M. R., Zucker L. G. Grilichesian breakthroughs: Inventions of methods of inventing and firm entry in nanotechnology. (2003) . NBER Working Paper 9825, Cambridge, MACrossrefGoogle Scholar
  • Deeds D. L., Hill C. W. L. Strategic alliances and the rate of new product development: An empirical study of entrepreneurial biotechnology firms. J. Bus. Venturing (1996) 11:41–55CrossrefGoogle Scholar
  • Dierickx I., Cool K. Asset stock accumulation and sustainability of competitive advantage. Management Sci. (1989) 35:1504–1511LinkGoogle Scholar
  • Dyer J. H., Singh H. The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Acad. Management Rev. (1998) 23:660–679CrossrefGoogle Scholar
  • Economist, The Fixing the drugs pipeline. (2004) 370(8366, March 13):37–38Google Scholar
  • Eisenhardt K. M., Martin J. A. Dynamic capabilities: What are they? Strategic Management J. (2000) 21:1105–1121CrossrefGoogle Scholar
  • Ernst H., Leptien C., Vitt J. Inventors are not alike: The distribution of patenting output among industrial R&D personnel. IEEE Trans. Engrg. Management (2000) 47:184–199CrossrefGoogle Scholar
  • Fabrizio K. R. Absorptive capacity and innovation: Evidence from pharmaceutical and biotechnology firms. Annual Atlanta Competitive Advantage Conf. (2005) Atlanta, GAGoogle Scholar
  • Felin T., Hesterly W. S. The knowledge-based view, heterogeneity, and new value creation: Philosophical considerations on the locus of knowledge. Acad. Management Rev. (2007) 32:195–218CrossrefGoogle Scholar
  • Felin T., Foss N. J. Strategic organization: A field in search of micro-foundations. Strategic Organ. (2005) 3:441–455CrossrefGoogle Scholar
  • Foster R. N.Innovation. The Attacker's Advantage (1986) (Summit Books, New York) Google Scholar
  • Galambos L., Sturchio J. Pharmaceutical firms and the transition to biotechnology: A study in strategic innovation. Bus. Hist. Rev. (1998) 72(Summer):250–278CrossrefGoogle Scholar
  • Gardner T. Interfirm competition for human resources: Evidence from the software industry. Acad. Management J. (2005) 48:237–256CrossrefGoogle Scholar
  • GenBank, Release 65.0 Machine readable database. (1990) (IntelliGenetics, Inc., Palo Alto, CA) Google Scholar
  • George G., Zahra S. A., Wood D. R. The effects of business-university alliances on innovative output and financial performance: A study of publicly traded biotechnology companies. J. Bus. Venturing (2002) 17:577–609CrossrefGoogle Scholar
  • Gourieroux C., Monfort A., Trognon A. Pseudo maximum likelihood methods: Applications to Poisson models. Econometrica (1984) 52:701–720CrossrefGoogle Scholar
  • Grant R. Toward a knowledge-based theory of the firm. Strategic Management J. (1996) 17(Winter, Special Issue):109–122CrossrefGoogle Scholar
  • Greene S. Is quality a casualty in the race to publish? The Scientist (1987) 1(20):1Google Scholar
  • Greene W. H.Econometric Analysis (2003) 5th ed.(Prentice Hall, Upper Saddle River, NJ) Google Scholar
  • Griliches Z. Patent statistics as economic indicators: A survey. J. Econom. Lit. (1990) 28:1661–1707Google Scholar
  • Groysberg B., Nanda A., Nohria N. The risky business of hiring stars. Harvard Bus. Rev. (2004) 82(5):92–100Google Scholar
  • Gulati R. Alliances and networks. Strategic Management J. (1998) 19:293–317CrossrefGoogle Scholar
  • Gulati R. Network location and learning: The influence of network resources and firm capabilities on alliance formation. Strategic Management J. (1999) 20:397–420CrossrefGoogle Scholar
  • Gulati R., Nohria N., Zaheer A. Strategic networks. Strategic Management J. (2000) 21:203–215CrossrefGoogle Scholar
  • Hagedoorn J. Understanding the rationale of strategic technology partnering: Interorganizational modes of cooperation and sectoral differences. Strategic Management J. (1993) 14:371–385CrossrefGoogle Scholar
  • Hagedoorn J., Cloodt M. Measuring innovative performance: Is there an advantage in using multiple indicators? Res. Policy (2003) 32:1365–1379CrossrefGoogle Scholar
  • Hagedoorn J., Schakenraad J. The effect of strategic technology alliances on company performance. Strategic Management J. (1994) 15:291–309CrossrefGoogle Scholar
  • Hair J. F., Black W. S., Babin B. J., Anderson R. E., Tatham R. L.Multivariate Data Analysis (2006) 6th ed.(Upper Saddle River, NJ). Prentice HallGoogle Scholar
  • Haleblian J., Finkelstein S. The influence of organizational acquisition experience on acquisition performance: A behavioral learning perspective. Admin. Sci. Quart. (1999) 44:29–56CrossrefGoogle Scholar
  • Hall B. H., Jaffe A., Trajtenberg M. Patent citations and market value: A first look. (2000) . NBER Working Paper 7741, Cambridge, MACrossrefGoogle Scholar
  • Hall B. H., Jaffe A., Trajtenberg M. The NBER patent citations data file: Lessons, insights and methodological tools. (2001) . NBER Working Paper 8498, Cambridge, MACrossrefGoogle Scholar
  • Hamilton B. H., Nickerson J. A. Correcting for endogeneity in strategic management research. Strategic Organ. (2003) 1:51–78CrossrefGoogle Scholar
  • Hausman J. Specification tests in econometrics. Econometrica (1978) 46:1251–1271CrossrefGoogle Scholar
  • Hausman J., Hall B., Griliches Z. Econometric models for count data with an application to the patents-R&D relationship. Econometrica (1984) 52:909–938CrossrefGoogle Scholar
  • Hayward M. L. A. When do firms learn from their acquisition experience? Evidence from 1990–1995. Strategic Management J. (2002) 23:21–39CrossrefGoogle Scholar
  • Heckman J. J., Borjas G. J. Does unemployment cause future unemployment: Definitions, questions, and answers for a continuous time model of heterogeneity and state dependence. Econometrica (1980) 48:247–283Google Scholar
  • Helfat C. E. Firm-specificity in corporate R&D. Organ. Sci. (1994a) 5:173–184LinkGoogle Scholar
  • Helfat C. E. Evolutionary trajectories in petroleum firm R&D. Management Sci. (1994b) 40:1720–1747LinkGoogle Scholar
  • Helfat C. E. Know-how and asset complementarity and dynamic capability accumulation: The case of R&D. Strategic Management J. (1997) 18:339–360CrossrefGoogle Scholar
  • Henderson R. M., Clark K. B. Architectural innovation the reconfiguration of existing product technologies and the failure of established firms. Admin. Sci. Quart. (1990) 35:9–30CrossrefGoogle Scholar
  • Henderson R. M., Cockburn I. Measuring competence? Exploring firm effects in pharmaceutical research. Strategic Management J. (1994) 15:63–84CrossrefGoogle Scholar
  • Higgins M., Rodriguez D. The outsourcing of R&D through acquisition in the pharmaceutical industry. J. Financial Econom. (2006) 80:351–383CrossrefGoogle Scholar
  • Hill C. W. L., Rothaermel F. T. The performance of incumbent firms in the face of radical technological innovation. Acad. Management Rev. (2003) 28:257–274CrossrefGoogle Scholar
  • Hitt M. A., Hoskisson R. E., Ireland R. D. Mergers and acquisitions and managerial commitment to innovation in M-form firms. Strategic Management J. (1990) 11:29–47Google Scholar
  • Hitt M. A., Bierman L., Shimizu K., Kochhar R. Direct and moderating effects of human capital on strategy and performance in professional service firms: A resource-based perspective. Acad. Management J. (2001) 44:13–28CrossrefGoogle Scholar
  • Hitt M. A., Hoskisson R. E., Ireland R. D., Harrison J. S. Effects of acquisitions on R&D inputs and outputs. Acad. Management J. (1991) 34:693–706CrossrefGoogle Scholar
  • Hoang H., Rothaermel F. T. The effect of general and partner-specific alliance experience on joint R&D project performance. Acad. Management J. (2005) 48:332–345CrossrefGoogle Scholar
  • Hsiao C.Analysis of Panel Data (2003) 2nd ed.(Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • Ichino A., Maggi G. Work environment and individual background: Explaining regional shirking differentials in a large Italian firm. Quart. J. Econom. (2000) 115:1057–1090CrossrefGoogle Scholar
  • IMS Health Global pharmaceutical sales by region, 2002. (2003) . March 12Google Scholar
  • Jacobson R. Unobservable effects and business performance. Marketing Sci. (1990) 9:74–85LinkGoogle Scholar
  • Kale P., Dyer J. H., Singh H. Alliance capability, stock market response, and long-term alliance success: The role of the alliance function. Strategic Management J. (2002) 23:747–767CrossrefGoogle Scholar
  • Kaplan S., Murray F., Henderson R. M. Discontinuities and senior management: Assessing the role of recognition in pharmaceutical firm response to biotechnology. Indust. Corporate Change (2003) 12:203–233CrossrefGoogle Scholar
  • Klein K. J., Dansereau F., Hall R. J. Levels issues in theory development, data collection, and analysis. Acad. Management Rev. (1994) 19:195–229CrossrefGoogle Scholar
  • Kogut B., Zander U. Knowledge of the firm, combinative capabilities, and the replication of technology. Organ. Sci. (1992) 3:383–397LinkGoogle Scholar
  • Lacetera N., Cockburn I., Henderson R. M., Baum J. A. C., McGahan A. M. Do firms change capabilities by hiring new people? A study of the adoption of science-based drug discovery. Business Strategy over the Industry Lifecycle: Advances in Strategic Management (2004) Vol. 21(Elsevier, Boston, MA) 133–159CrossrefGoogle Scholar
  • Lane P. J., Lubatkin M. Relative absorptive capacity and interorganizational learning. Strategic Management J. (1998) 19:461–477CrossrefGoogle Scholar
  • Leonard-Barton D. Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management J. (1992) 13:111–126CrossrefGoogle Scholar
  • Lerner J., Shane H., Tsai A. Do equity financing cycles matter? Evidence from biotechnology alliances. J. Financial Econom. (2003) 67:411–446CrossrefGoogle Scholar
  • Levin R. C., Klevorick A. K., Nelson R. R., Winter S. G. Appropriating the returns from industrial R&D. Brookings Papers Econom. Activity (1987) 3:783–820CrossrefGoogle Scholar
  • Levinthal D. A., March J. G. The myopia of learning. Strategic Management J. (1993) 14:95–112CrossrefGoogle Scholar
  • Levitt B., March J. G. Organizational learning. Ann. Rev. Soc. (1988) 14:319–340CrossrefGoogle Scholar
  • Liebeskind J. P., Oliver A. L., Zucker L., Brewer M. Social networks, learning, and flexibility: Sourcing scientific knowledge in new biotechnology firms. Organ. Sci. (1996) 7:428–443LinkGoogle Scholar
  • Long J. S.Regression Models for Categorical and Limited Dependent Variables (1997) (Sage Publications, Thousand Oaks, CA) Google Scholar
  • Lotka A. The frequency distribution of scientific productivity. J. Washington Acad. Sci. (1926) 11:317–323Google Scholar
  • Murray F., Stern S. Do formal intellectual property rights hinder the free flow of scientific knowledge? An empirical test of the anti-commons hypothesis. (2004) . NBER Working Paper 11465, Cambridge, MAGoogle Scholar
  • Narin F., Breitzman A. Inventive productivity. Res. Policy (1995) 24:507–519CrossrefGoogle Scholar
  • Narin F., Hamilton K. S., Olivastro D. The increasing linkage between U.S. technology and public science. Res. Policy (1997) 26:317–330CrossrefGoogle Scholar
  • Nelson R. R., Winter S. G.An Evolutionary Theory of Economic Change (1982) (Harvard University Press, Cambridge, MA) Google Scholar
  • Nohria N., Gulati R. Is slack good or bad for innovation? Acad. Management J. (1996) 39:1245–1264CrossrefGoogle Scholar
  • Owen-Smith J., Powell W. W. Knowledge networks as channels and conduits: The effects of spillovers in the Boston biotechnology community. Organ. Sci. (2004) 15:5–21LinkGoogle Scholar
  • Pennings J. M., Harianto F. Technological networking and innovation implementation. Organ. Sci. (1992) 3:356–382LinkGoogle Scholar
  • Peteraf M. A. The cornerstones of competitive advantage: A resource-based view. Strategic Management J. (1993) 14:179–191CrossrefGoogle Scholar
  • Pisano G. P.The Development Factory. Unlocking the Potential of Process Innovation (1997) (Harvard Business School Press, Boston, MA) Google Scholar
  • Powell W. W., Koput K. W., Smith-Doerr L. Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Admin. Sci. Quart. (1996) 41:116–145CrossrefGoogle Scholar
  • Ranft A. L., Lord M. D. Acquiring new technologies and capabilities: A grounded model of acquisition implementation. Organ. Sci. (2002) 13:420–441LinkGoogle Scholar
  • Rosenberg N. Why do firms do basic research (with their own money)? Res. Policy (1990) 19:165–174CrossrefGoogle Scholar
  • Rothaermel F. T. Incumbent's advantage through exploiting complementary assets via interfirm cooperation. Strategic Management J. (2001) 22:687–699CrossrefGoogle Scholar
  • Rothaermel F. T., Deeds D. L. Exploration and exploitation alliances in biotechnology: A system of new product development. Strategic Management J. (2004) 25:201–221CrossrefGoogle Scholar
  • Rothaermel F. T., Deeds D. L. Alliance type, alliance experience, and alliance management capability in high-technology ventures. J. Bus. Venturing (2006) 21:429–460CrossrefGoogle Scholar
  • Rothaermel F. T., Hill C. W. L. Technological discontinuities and complementary assets: A longitudinal study of industry and firm performance. Organ. Sci. (2005) 16:52–70LinkGoogle Scholar
  • Rothaermel F. T., Hitt M. A., Jobe L. A. Balancing vertical integration and strategic outsourcing: Effects on product portfolio, product success, and firm performance. Strategic Management J. (2006) 27:1033–1056CrossrefGoogle Scholar
  • Schumpeter J. A.Capitalism, Socialism and Democracy (1942) (Harper & Row, New York) Google Scholar
  • Shan W., Walker G., Kogut B. Interfirm cooperation and startup innovation in the biotechnology industry. Strategic Management J. (1994) 15:387–394CrossrefGoogle Scholar
  • Simon H. Bounded rationality and organizational learning. Organ. Sci. (1991) 2:125–134LinkGoogle Scholar
  • Stephan P. E., Higgins M., Thursby J. Capitalizing the human capital of university scientists: The case of biotechnology IPOs. Roundtable for Engineering Entrepreneurship Research (REER) (2004) (Georgia Institute of Technology, Atlanta, GA) Google Scholar
  • Stuart T. E. Interorganizational alliances and the performance of firms: A study of growth and innovation rates in a high-technology industry. Strategic Management J. (2000) 21:791–811CrossrefGoogle Scholar
  • Stuart T. E., Hoang H., Hybels R. C. Interorganizational endorsements and the performance of entrepreneurial ventures. Admin. Sci. Quart. (1999) 44:315–349CrossrefGoogle Scholar
  • Stuart T. E., Ozdemir S., Ding W. Brokerage in a vertical alliance network. Res. Policy (2007) 36:477–498CrossrefGoogle Scholar
  • Teece D. J. Competition, cooperation, and innovation: Organizational arrangements for regimes of rapid technological progress. J. Econom. Behav. Organ. (1992) 18:1–25CrossrefGoogle Scholar
  • Teece D. J., Pisano G., Shuen A. Dynamic capabilities and strategic management. Strategic Management J. (1997) 18:509–533CrossrefGoogle Scholar
  • Tilton J. H.International Diffusion of Technology: The Case of Semiconductors (1971) (Brookings Institution, Washington, D.C.) Google Scholar
  • Tushman M. L. Special boundary roles in the innovation process. Admin. Sci. Quart. (1977) 22:587–605CrossrefGoogle Scholar
  • Tushman M. L., Anderson P. Technological discontinuities and organizational environments. Admin. Sci. Quart. (1986) 31:439–465CrossrefGoogle Scholar
  • Tushman M. L., Katz R. External communication and project performance: An investigation into the role of gatekeepers. Management Sci. (1980) 26:1071–1085LinkGoogle Scholar
  • Vanhaverbeke W., Duysters G., Noorderhaven N. External technology sourcing through alliances or acquisitions: An analysis of the application-specific integrated circuits industry. Organ. Sci. (2002) 13:714–734LinkGoogle Scholar
  • Zollo M., Winter S. G. Deliberate learning and the evolution of dynamic capabilities. Organ. Sci. (2002) 13:339–351LinkGoogle Scholar
  • Zucker L. G., Darby M. R. Present at the biotechnological revolution: Transformation of technological identity for a large incumbent pharmaceutical firm. Res. Policy (1997a) 26:429–446CrossrefGoogle Scholar
  • Zucker L. G., Darby M. R. Individual action and the demand for institutions: Star scientists and institutional transformation. Amer. Behav. Scientist (1997b) 40:502–513CrossrefGoogle Scholar
  • Zucker L. G., Darby M. R., Armstrong J. S. Commercializing knowledge: University science, knowledge capture, and firm performance in biotechnology. Management Sci. (2002a) 48:138–153LinkGoogle Scholar
  • Zucker L. G., Darby M. R., Brewer M. B. Intellectual human capital and the birth of U.S. biotechnology enterprises. Amer. Econom. Rev. (1998) 88:290–306Google Scholar
  • Zucker L. G., Darby M. R., Torero M. Labor mobility from academe to commerce. J. Labor Econom. (2002b) 20:629–660CrossrefGoogle Scholar
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