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Collaborative structure and post‐mobility knowledge spillovers: A dyadic approach

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  • Daniel Tzabbar
  • Jeongsik (Jay) Lee
  • Donghwi (Josh) Seo

Abstract

Research Summary How does the dyadic collaborative structure between the hiring firm and the losing firm influence knowledge spillovers following an employee's move? We demonstrate that knowledge spill‐ins (to the hiring firm) and spill‐backs (to the losing firm) are the greatest when a firm with a strong collaborative density hires an employee from another firm that too has a strong collaborative density. Furthermore, such a dyadic combination results in the greatest degree of access to the broader knowledge of the other firm. By considering the role of relative collaborative structures in post‐mobility knowledge‐building activities, we inform the extant literature on the importance of this factor. In doing so, we invite scholars to take a more holistic view of the risks and benefits associated with “learning by hiring.” Managerial Summary Firms interested in acquiring the knowledge of other firms through employee recruitment face a dilemma. To best integrate the knowledge brought in by new employees, firms must encourage extensive collaboration between existing employees and new hires. However, such a dense collaboration exposes firms to potential knowledge spill out through these new hires, which may undermine their competitive edge. Firms that lose employees face the reverse dilemma. Accordingly, managers and practitioners should realize that not all recruitments may result in net knowledge gains. Our findings strongly suggest that where a firm hires from also matters, not just who it hires, thereby offering a practical insight for organizations in properly assessing the utility of hiring an employee, particularly in consideration of their relative collaborative structures.

Suggested Citation

  • Daniel Tzabbar & Jeongsik (Jay) Lee & Donghwi (Josh) Seo, 2022. "Collaborative structure and post‐mobility knowledge spillovers: A dyadic approach," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1728-1762, September.
  • Handle: RePEc:bla:stratm:v:43:y:2022:i:9:p:1728-1762
    DOI: 10.1002/smj.3384
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    as
    1. Rafael A. Corredoira & Lori Rosenkopf, 2010. "Should auld acquaintance be forgot? the reverse transfer of knowledge through mobility ties," Strategic Management Journal, Wiley Blackwell, vol. 31(2), pages 159-181, February.
    2. Barak S. Aharonson & Joel A. C. Baum & Maryann P. Feldman, 2007. "Desperately seeking spillovers? Increasing returns, industrial organization and the location of new entrants in geographic and technological space ," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(1), pages 89-130, February.
    3. Filippo Carlo Wezel & Gino Cattani & Johannes M. Pennings, 2006. "Competitive Implications of Interfirm Mobility," Organization Science, INFORMS, vol. 17(6), pages 691-709, December.
    4. Daniel Tzabbar & Alex Vestal, 2015. "Bridging the Social Chasm in Geographically Distributed R&D Teams: The Moderating Effects of Relational Strength and Status Asymmetry on the Novelty of Team Innovation," Organization Science, INFORMS, vol. 26(3), pages 811-829, June.
    5. Lori Rosenkopf & Paul Almeida, 2003. "Overcoming Local Search Through Alliances and Mobility," Management Science, INFORMS, vol. 49(6), pages 751-766, June.
    6. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    7. Gomes-Casseres, Benjamin & Hagedoorn, John & Jaffe, Adam B., 2006. "Do alliances promote knowledge flows?," Journal of Financial Economics, Elsevier, vol. 80(1), pages 5-33, April.
    8. Tammy L. Madsen & Michael J. Leiblein, 2015. "What Factors Affect the Persistence of an Innovation Advantage?," Journal of Management Studies, Wiley Blackwell, vol. 52(8), pages 1097-1127, December.
    9. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
    10. Stefan Wagner & Martin C. Goossen, 2018. "Knowing me, knowing you: Inventor mobility and the formation of technology-oriented alliances," ESMT Research Working Papers ESMT-18-01, ESMT European School of Management and Technology.
    11. Arrow, Kenneth J, 1974. "Limited Knowledge and Economic Analysis," American Economic Review, American Economic Association, vol. 64(1), pages 1-10, March.
    12. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    13. Hirotugu Akaike, 1980. "Seasonal Adjustment By A Bayesian Modeling," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 1-13, January.
    14. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    15. Sharon Belenzon, 2012. "Cumulative Innovation and Market Value: Evidence from Patent Citations," Economic Journal, Royal Economic Society, vol. 122(559), pages 265-285, March.
    16. Andreas Al-Laham & Daniel Tzabbar & Terry L. Amburgey, 2011. "The dynamics of knowledge stocks and knowledge flows: innovation consequences of recruitment and collaboration in biotech," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(2), pages 555-583, April.
    17. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    18. Jasjit Singh & Ajay Agrawal, 2011. "Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires," Management Science, INFORMS, vol. 57(1), pages 129-150, January.
    19. Gary Dushnitsky & Michael J. Lenox, 2005. "When do firms undertake R&D by investing in new ventures?," Strategic Management Journal, Wiley Blackwell, vol. 26(10), pages 947-965, October.
    20. repec:fth:harver:1473 is not listed on IDEAS
    21. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Chunmian Ge & Ke-Wei Huang & Ivan P. L. Png, 2016. "Engineer/scientist careers: Patents, online profiles, and misclassification bias," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 232-253, January.
    22. Bill McEvily & Vincenzo Perrone & Akbar Zaheer, 2003. "Trust as an Organizing Principle," Organization Science, INFORMS, vol. 14(1), pages 91-103, February.
    23. John Seely Brown & Paul Duguid, 2001. "Knowledge and Organization: A Social-Practice Perspective," Organization Science, INFORMS, vol. 12(2), pages 198-213, April.
    24. Rajshree Agarwal & Martin Ganco & Rosemarie H. Ziedonis, 2009. "Reputations for toughness in patent enforcement: implications for knowledge spillovers via inventor mobility," Strategic Management Journal, Wiley Blackwell, vol. 30(13), pages 1349-1374, December.
    25. Jaeyong Song & Paul Almeida & Geraldine Wu, 2003. "Learning--by--Hiring: When Is Mobility More Likely to Facilitate Interfirm Knowledge Transfer?," Management Science, INFORMS, vol. 49(4), pages 351-365, April.
    26. Srikanth Paruchuri & Snehal Awate, 2017. "Organizational knowledge networks and local search: The role of intra‐organizational inventor networks," Strategic Management Journal, Wiley Blackwell, vol. 38(3), pages 657-675, March.
    27. Adam M. Kleinbaum & Toby E. Stuart & Michael L. Tushman, 2013. "Discretion Within Constraint: Homophily and Structure in a Formal Organization," Organization Science, INFORMS, vol. 24(5), pages 1316-1336, October.
    28. Bruce Kogut & Udo Zander, 1996. "What Firms Do? Coordination, Identity, and Learning," Organization Science, INFORMS, vol. 7(5), pages 502-518, October.
    29. Gabriel Szulanski & Rossella Cappetta & Robert J. Jensen, 2004. "When and How Trustworthiness Matters: Knowledge Transfer and the Moderating Effect of Causal Ambiguity," Organization Science, INFORMS, vol. 15(5), pages 600-613, October.
    30. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    31. Gina Dokko & Lori Rosenkopf, 2010. "Social Capital for Hire? Mobility of Technical Professionals and Firm Influence in Wireless Standards Committees," Organization Science, INFORMS, vol. 21(3), pages 677-695, June.
    32. Aharonson, Barak S. & Schilling, Melissa A., 2016. "Mapping the technological landscape: Measuring technology distance, technological footprints, and technology evolution," Research Policy, Elsevier, vol. 45(1), pages 81-96.
    33. Daniel Z. Levin & Rob Cross, 2004. "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, INFORMS, vol. 50(11), pages 1477-1490, November.
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    Cited by:

    1. Tong, Di & Lee, Jeongsik “Jay”, 2024. "Knowledge catalysts: The role of generalist incumbents in post-hiring knowledge integration," Research Policy, Elsevier, vol. 53(1).
    2. Wai, Sebastian, 2023. "Inventor mobility and spillovers in the early semiconductor industry," Technology in Society, Elsevier, vol. 75(C).
    3. Poege, Felix & Gaessler, Fabian & Hoisl, Karin & Harhoff, Dietmar & Dorner, Matthias, 2022. "Filling the Gap: The Consequences of Collaborator Loss in Corporate R&D," IZA Discussion Papers 15618, Institute of Labor Economics (IZA).

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