IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v200y2025ics0148296325004187.html

Transactive memory system and breakthroughs: a multi‑dimensional, contextualized model for inventor teams

Author

Listed:
  • Wang, Zhiwei
  • Wei, Lican
  • Hu, Die
  • Vanhaverbeke, Wim
  • She, Maoyan

Abstract

This study explores how Transactive Memory System (TMS) contributes to breakthroughs in inventor teams. From the perspective of knowledge integration, a TMS plays a crucial role in optimizing diverse expertise, facilitating effective knowledge sharing and integration, and creating innovation synergy essential for breakthroughs. We argue that the three dimensions of TMS—specialization, credibility, and coordination—differently influence breakthroughs due to their distinct roles in knowledge integration within the team. Using the U.S. pharmaceutical patent data, we identify an inverted U-shaped relationship between specialization and breakthroughs, as well as positive relationships between credibility and breakthroughs, and between coordination and breakthroughs. These relationships are moderated by technological complexity and inventor team size. By leveraging objective patent-based proxies for TMS, our study provides empirical evidence on its nuanced mechanisms and contextual contingencies, offering new insights into the micro-foundations of team-based R&D collaborations and practical guidance for fostering breakthrough technologies.

Suggested Citation

  • Wang, Zhiwei & Wei, Lican & Hu, Die & Vanhaverbeke, Wim & She, Maoyan, 2025. "Transactive memory system and breakthroughs: a multi‑dimensional, contextualized model for inventor teams," Journal of Business Research, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:jbrese:v:200:y:2025:i:c:s0148296325004187
    DOI: 10.1016/j.jbusres.2025.115595
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296325004187
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2025.115595?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Zhu, Peiyu & Miao, Xiaoming & Jin, Shumo & Moehler, Robert, 2023. "Transactive memory system, boundary-spanning search and business model innovation: the moderating role of environmental dynamism," Technovation, Elsevier, vol. 128(C).
    3. Messeni Petruzzelli, Antonio & Ardito, Lorenzo & Savino, Tommaso, 2018. "Maturity of knowledge inputs and innovation value: The moderating effect of firm age and size," Journal of Business Research, Elsevier, vol. 86(C), pages 190-201.
    4. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    5. Yanfeng Zheng & Haibin Yang, 2015. "Does Familiarity Foster Innovation? The Impact of Alliance Partner Repeatedness on Breakthrough Innovations," Journal of Management Studies, Wiley Blackwell, vol. 52(2), pages 213-230, March.
    6. Wang, Youying & Huang, Qian & Davison, Robert M. & Yang, Feng, 2018. "Effect of transactive memory systems on team performance mediated by knowledge transfer," International Journal of Information Management, Elsevier, vol. 41(C), pages 65-79.
    7. Ray Reagans & Linda Argote & Daria Brooks, 2005. "Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together," Management Science, INFORMS, vol. 51(6), pages 869-881, June.
    8. Xie, Xiao-Yun & Ling, Chu-Ding & Liu, Wu & Wei, Junjie, 2022. "Inter-team coordination, information elaboration, and performance in teams: The moderating effect of knowledge integration capability," Journal of Business Research, Elsevier, vol. 149(C), pages 149-160.
    9. Keyvan Vakili & Sarah Kaplan, 2021. "Organizing for innovation: A contingency view on innovative team configuration," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1159-1183, June.
    10. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    11. Karin Hoisl & Marc Gruber & Annamaria Conti, 2017. "R&D team diversity and performance in hypercompetitive environments," Strategic Management Journal, Wiley Blackwell, vol. 38(7), pages 1455-1477, July.
    12. Paul R. Carlile, 2002. "A Pragmatic View of Knowledge and Boundaries: Boundary Objects in New Product Development," Organization Science, INFORMS, vol. 13(4), pages 442-455, August.
    13. Alex Vestal & Erwin Danneels, 2024. "Unlocking the Inventive Potential of Knowledge Distance in Teams: How Intrateam Network Configurations Provide a Key," Organization Science, INFORMS, vol. 35(1), pages 195-214, January.
    14. Kyle J. Mayer & Nicholas S. Argyres, 2004. "Learning to Contract: Evidence from the Personal Computer Industry," Organization Science, INFORMS, vol. 15(4), pages 394-410, August.
    15. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    16. Gautam Ahuja & Curba Morris Lampert, 2001. "Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 521-543, June.
    17. Anthony Breitzman & Patrick Thomas, 2015. "Inventor team size as a predictor of the future citation impact of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 631-647, May.
    18. Rieger, Verena & Klarmann, Martin, 2022. "The effect of cooperative team culture on innovation," Journal of Business Research, Elsevier, vol. 144(C), pages 1256-1271.
    19. Srikanth Paruchuri, 2010. "Intraorganizational Networks, Interorganizational Networks, and the Impact of Central Inventors: A Longitudinal Study of Pharmaceutical Firms," Organization Science, INFORMS, vol. 21(1), pages 63-80, February.
    20. Mewes, Lars & Broekel, Tom, 2022. "Technological complexity and economic growth of regions," Research Policy, Elsevier, vol. 51(8).
    21. Wei, Wu & Zhou, Ying & Wang, Danni, 2023. "Learning to integrate conflicts: Paradoxical leadership fosters team innovation," Journal of Business Research, Elsevier, vol. 165(C).
    22. Linda Argote & Yuqing Ren, 2012. "Transactive Memory Systems: A Microfoundation of Dynamic Capabilities," Journal of Management Studies, Wiley Blackwell, vol. 49(8), pages 1375-1382, December.
    23. 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.
    24. Wang, Pengfei & Van De Vrande, Vareska & Jansen, Justin J.P., 2017. "Balancing exploration and exploitation in inventions: Quality of inventions and team composition," Research Policy, Elsevier, vol. 46(10), pages 1836-1850.
    25. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    26. Yuqing Ren & Kathleen M. Carley & Linda Argote, 2006. "The Contingent Effects of Transactive Memory: When Is It More Beneficial to Know What Others Know?," Management Science, INFORMS, vol. 52(5), pages 671-682, May.
    27. Wang, Ming-Chao & Chen, Pei-Chen & Fang, Shih-Chieh, 2018. "A critical view of knowledge networks and innovation performance: The mediation role of firms' knowledge integration capability," Journal of Business Research, Elsevier, vol. 88(C), pages 222-233.
    28. Jasjit Singh & Lee Fleming, 2010. "Lone Inventors as Sources of Breakthroughs: Myth or Reality?," Management Science, INFORMS, vol. 56(1), pages 41-56, January.
    29. Bercovitz, Janet & Feldman, Maryann, 2011. "The mechanisms of collaboration in inventive teams: Composition, social networks, and geography," Research Policy, Elsevier, vol. 40(1), pages 81-93, February.
    30. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    31. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    32. Parayitam, Satyanarayana & Dooley, Robert S., 2009. "The interplay between cognitive- and affective conflict and cognition- and affect-based trust in influencing decision outcomes," Journal of Business Research, Elsevier, vol. 62(8), pages 789-796, August.
    33. Corey C. Phelps & Hongyan Yang & Kevin Steensma, 2010. "Learning from what others have learned from you: The effects of knowledge spillovers on originating firms," Post-Print hal-00528393, HAL.
    34. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
    35. Kyle Lewis & Donald Lange & Lynette Gillis, 2005. "Transactive Memory Systems, Learning, and Learning Transfer," Organization Science, INFORMS, vol. 16(6), pages 581-598, December.
    36. Kyle Lewis & Benjamin Herndon, 2011. "Transactive Memory Systems: Current Issues and Future Research Directions," Organization Science, INFORMS, vol. 22(5), pages 1254-1265, October.
    37. Lee, Jeoung Yul & Choi, Byung Chul & Ghauri, Pervez N. & Park, Byung Il, 2021. "Knowledge centralization and international R&D team performance: Unpacking the moderating roles of team-specific characteristics," Journal of Business Research, Elsevier, vol. 128(C), pages 627-640.
    38. Tan, Chunping & Zhang, Jiayan & Zhang, Yuqi, 2022. "The mechanism of team-member exchange on knowledge hiding under the background of “Guanxi”," Journal of Business Research, Elsevier, vol. 148(C), pages 304-314.
    39. Bessen, James, 2008. "The value of U.S. patents by owner and patent characteristics," Research Policy, Elsevier, vol. 37(5), pages 932-945, June.
    40. Kavusan, Korcan & Noorderhaven, Niels G. & Duysters, Geert M., 2016. "Knowledge acquisition and complementary specialization in alliances: The impact of technological overlap and alliance experience," Research Policy, Elsevier, vol. 45(10), pages 2153-2165.
    41. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    42. Seong K. Byun & Jong-Min & Han Xia, 2021. "Incremental vs. Breakthrough Innovation: The Role of Technology Spillovers," Management Science, INFORMS, vol. 67(3), pages 1779-1802, March.
    43. Schoenmakers, Wilfred & Duysters, Geert, 2010. "The technological origins of radical inventions," Research Policy, Elsevier, vol. 39(8), pages 1051-1059, October.
    44. Die Hu & Maoyan She & Lingfeng Ye & Zhiwei Wang, 2021. "The more the merrier? Inventor team size, diversity, and innovation quality," Science and Public Policy, Oxford University Press, vol. 48(4), pages 508-520.
    45. Antonio Malva & Stijn Kelchtermans & Bart Leten & Reinhilde Veugelers, 2015. "Basic science as a prescription for breakthrough inventions in the pharmaceutical industry," The Journal of Technology Transfer, Springer, vol. 40(4), pages 670-695, August.
    46. Carbonell, Pilar & Rodriguez, Ana I., 2006. "Designing teams for speedy product development: The moderating effect of technological complexity," Journal of Business Research, Elsevier, vol. 59(2), pages 225-232, February.
    47. Moreland, Richard L. & Myaskovsky, Larissa, 2000. "Exploring the Performance Benefits of Group Training: Transactive Memory or Improved Communication?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 117-133, May.
    48. He, Hongwei & Hu, Yansong, 2021. "The dynamic impacts of shared leadership and the transactive memory system on team performance: A longitudinal study," Journal of Business Research, Elsevier, vol. 130(C), pages 14-26.
    49. Sai Yayavaram & Wei-Ru Chen, 2015. "Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 377-396, March.
    50. Ken Hyland, 2003. "Self‐citation and self‐reference: Credibility and promotion in academic publication," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(3), pages 251-259, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
    2. Alex Vestal & Erwin Danneels, 2024. "Unlocking the Inventive Potential of Knowledge Distance in Teams: How Intrateam Network Configurations Provide a Key," Organization Science, INFORMS, vol. 35(1), pages 195-214, January.
    3. Bingyi Wu & Wenhao Zhou, 2025. "Where do breakthroughs originate? Utilizing patent knowledge network to identify breakthrough technological innovations," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2551-2576, May.
    4. Zakaryan, Arusyak, 2023. "Organizational knowledge networks, search and exploratory invention," Technovation, Elsevier, vol. 122(C).
    5. Leone, Maria Isabella & Messeni Petruzzelli, Antonio & Natalicchio, Angelo, 2022. "Boundary spanning through external technology acquisition: The moderating role of star scientists and upstream alliances," Technovation, Elsevier, vol. 116(C).
    6. Stefano Basilico & Alberto Marzucchi & Sandro Montresor, 2024. "Combining digital and green technologies in regions: how to close the gap with respect to the frontier?," Papers in Evolutionary Economic Geography (PEEG) 2440, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2024.
    7. Xiuping Lai & Libing Nie, 2024. "Maturity of knowledge inputs and the breakthrough of key core technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6551-6570, November.
    8. Jiao, Hao & Wang, Tang & Yang, Jifeng, 2022. "Team structure and invention impact under high knowledge diversity: An empirical examination of computer workstation industry," Technovation, Elsevier, vol. 114(C).
    9. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    10. Qu, Guannan & Chen, Jin & Zhang, Ruhao & Wang, Luyao & Yang, Yayu, 2023. "Technological search strategy and breakthrough innovation: An integrated approach based on main-path analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Rajat Khanna & Isin Guler, 2022. "Degree assortativity in collaboration networks and invention performance," Strategic Management Journal, Wiley Blackwell, vol. 43(7), pages 1402-1430, July.
    12. Kok, Holmer & Faems, Dries & de Faria, Pedro, 2020. "Ties that matter: The impact of alliance partner knowledge recombination novelty on knowledge utilization in R&D alliances," Research Policy, Elsevier, vol. 49(7).
    13. Markus, Arjan & Candiani, Juan Antonio & Gilsing, Victor A., 2025. "How symmetry between intrafirm knowledge and collaboration structures influences exploratory innovation under conditions of combinability," Research Policy, Elsevier, vol. 54(2).
    14. Buchmann, Tobias & Wolf, Patrick, 2024. "Breakthrough inventions in solar PV and wind technologies: The role of scientific discoveries," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    15. Wang, Tao & Wang, Jiajie & Shi, Jing & Sun, Jianjun & Kang, Lele, 2025. "Technological recombinant strategy and breakthrough innovation of team: The moderating role of science linkage," Journal of Informetrics, Elsevier, vol. 19(1).
    16. Ao, Weiyi & Sheng, Libo & Ruan, Xuanmin & Lyu, Dongqing & Li, Jiang & Cheng, Ying, 2025. "Researching deeply or broadly? The effects of scientists’ research strategies on disruptive performance over their careers," Journal of Informetrics, Elsevier, vol. 19(2).
    17. Wenbo Jiang & Yong Hong & Miao Cui & Mengjia Li, 2025. "Collaborative innovation network embeddedness and a firm’s technological impact: Does prior networking experience matter?," The Journal of Technology Transfer, Springer, vol. 50(6), pages 2802-2836, December.
    18. Shafique, Muhammad & Hagedoorn, John, 2022. "Look at U: Technological scope of the acquirer, technological complementarity with the target, and post-acquisition R&D output," Technovation, Elsevier, vol. 115(C).
    19. Ardito, Lorenzo & Natalicchio, Angelo & Appio, Francesco Paolo & Messeni Petruzzelli, Antonio, 2021. "The role of scientific knowledge within inventing teams and the moderating effects of team internationalization and team experience: Empirical tests into the aerospace sector," Journal of Business Research, Elsevier, vol. 128(C), pages 701-710.
    20. William Arant & Dirk Fornahl & Nils Grashof & Kolja Hesse & Cathrin Söllner, 2019. "University-industry collaborations—The key to radical innovations? [Universität-Industrie-Kooperationen – Der Schlüssel zu radikalen Innovationen?]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 39(2), pages 119-141, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:200:y:2025:i:c:s0148296325004187. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.