IDEAS home Printed from https://ideas.repec.org/a/bla/stratm/v39y2018i7p1959-1989.html
   My bibliography  Save this article

Knowledge complexity and the performance of inter‐unit knowledge replication structures

Author

Listed:
  • Sungho Kim
  • Jaideep (Jay) Anand

Abstract

Research Summary: Intra‐firm replication of complex knowledge is difficult yet critical to firm growth and the exploitation of competitive advantage. Inter‐unit organizational structures can facilitate the replication of complex knowledge between a source unit and a recipient unit. This study examines how inter‐unit organizational structures perform at different levels of knowledge complexity. We dimensionalize the patterns of information‐processing interactions according to three specific factors: the degree of inter‐unit connectivity, the extent of mirroring between the structure and the knowledge configuration, and coordination mechanisms. Simulation analyses offer a set of novel findings on how the information‐processing and bounded‐rationality concerns of organizational design impact the replication performance of the structures. We derive optimal structures for different levels of knowledge complexity, and articulate their theoretical and practical implications. Managerial Summary: The growth of firms often involves redeployment of their complex knowledge to new subunits or markets, in the context of acquisitions, alliances, or the creation of multinational subsidiaries. Complex knowledge is difficult to imitate, and thus, serves as a source of competitive advantage. However, it is also challenging to replicate within a firm, which limits firms’ ability to redeploy their capabilities in pursuit of new opportunities. A proper design of inter‐unit structures can facilitate the replication of complex knowledge between intra‐firm units. This study examines how the design of inter‐unit structures affects the outcome of this replication. Our results suggest that managers in charge of redeployment efforts should be mindful of the connectivity among units, coordination mechanisms, information overload, and the level of knowledge complexity.

Suggested Citation

  • Sungho Kim & Jaideep (Jay) Anand, 2018. "Knowledge complexity and the performance of inter‐unit knowledge replication structures," Strategic Management Journal, Wiley Blackwell, vol. 39(7), pages 1959-1989, July.
  • Handle: RePEc:bla:stratm:v:39:y:2018:i:7:p:1959-1989
    DOI: 10.1002/smj.2899
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/smj.2899
    Download Restriction: no

    File URL: https://libkey.io/10.1002/smj.2899?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaideep Anand & Gerald McDermott & Ram Mudambi & Rajneesh Narula, 2021. "Innovation in and from emerging economies: New insights and lessons for international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(4), pages 545-559, June.
    2. Tom Broekel, 2019. "Using structural diversity to measure the complexity of technologies," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-23, May.
    3. Mo Chen & Aseem Kaul & Brian Wu, 2019. "Adaptation across multiple landscapes: Relatedness, complexity, and the long run effects of coordination in diversified firms," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1791-1821, November.
    4. Jie Mi & Zaiyang Xie & Shaojie Lv, 2023. "Star-studded or equalitarianism: how does the distribution of creative stars affect exploration–exploitation balance?," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 336-362, June.
    5. Celo, Sokol & Lehrer, Mark, 2022. "How much lateral collaboration is optimal? Insights from computer simulations of MNEs as complex adaptive systems," Journal of World Business, Elsevier, vol. 57(3).
    6. Chen, Feiqiong & Liu, Huiqian & Ge, Yuhao, 2021. "How does integration affect industrial innovation through networks in technology-sourcing overseas M&A? A comparison between China and the US," Journal of Business Research, Elsevier, vol. 122(C), pages 281-292.

    More about this item

    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:bla:stratm:v:39:y:2018:i:7:p:1959-1989. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0143-2095 .

    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.