The Underlying Process Through Which Knowledge Transfer and Learning are Influenced in Family Firms

Flora Chiang, Jean SK Lee, Thomas A. Birtch, Yuen Lam Bavik

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Abstract

    Drawing on the similarity-attraction paradigm, the present study examined the mediating roles of absorptive capacity (cognitive capability component), liking (affective component), and relational identification (relational component) in accounting for the effects of perceived similarity on knowledge transfer and employee learning. Data used to test the proposed theoretical framework were collected over two separate time intervals and consisted of a sample of 216 supervisor-subordinate dyads from family-owned enterprises. The results demonstrated that perceived similarity positively influenced knowledge transfer and employee learning indirectly through its impact on affect and supervisor identification, respectively. Implications to theory, practice, and future research are discussed.
    Original languageEnglish
    Title of host publicationAcademy of Management Proceedings 2016
    EditorsSonia Taneja
    PublisherAcademy of Management
    DOIs
    Publication statusPublished - 1 Jan 2016
    Event76th Annual Meeting of the Academy of Management, AOM 2016: Making Organizations Meaningful - Anaheim, United States
    Duration: 5 Aug 20169 Aug 2016
    https://aom.org/events/annual-meeting/past-annual-meetings/2016-making-organizations-meaningful (Conference website)
    https://journals.aom.org/toc/amproc/2016/1 (Conference proceedings)
    http://my.aom.org/ProgramDocs/2016/pdf/AOM_2016_Annual_Meeting_Program.pdf

    Publication series

    NameAcademy of Management Proceedings
    Number1
    Volume2016
    ISSN (Print)0065-0668
    ISSN (Electronic)2151-6561

    Conference

    Conference76th Annual Meeting of the Academy of Management, AOM 2016
    Country/TerritoryUnited States
    CityAnaheim
    Period5/08/169/08/16
    Internet address

    User-Defined Keywords

    • knowledge transfer
    • learning
    • Perceived similarity

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