Determinants of successful knowledge transfer: Unveiling social exchange theory insights on knowledge velocity and viscosity in enterprises

被引:1
作者
Kang, Tsan-Ching [1 ]
Hung, Shin-Yuan [2 ]
Chen, Charlie [3 ]
Ractham, Peter [4 ]
机构
[1] Providence Univ, Dept Comp Sci & Informat Management, Taichung, Taiwan
[2] Natl Chung Cheng Univ, Inst Healthcare Informat Management, Dept Informat Management, Chiayi, Taiwan
[3] Appalachian State Univ, Walker Coll Business, Dept Comp Informat Syst & Supply Chain Management, Boone, NC USA
[4] Thammasat Univ, Ctr Excellence Operat & Informat Management, Thammasat Business Sch, Dept Management Informat Syst, Bangkok, Thailand
关键词
Knowledge transfer; Velocity; Viscosity; Social exchange theory; COMPUTER SELF-EFFICACY; SYSTEMS-DEVELOPMENT TEAMS; ABSORPTIVE-CAPACITY; SOURCE CREDIBILITY; BIG DATA; IMPACT; PERSPECTIVE; MANAGEMENT; INNOVATION; REPOSITORIES;
D O I
10.34105/j.kmel.2024.16.026
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Corporate knowledge becomes enterprise strategic resources for sustaining corporate competitiveness by transferring irreplaceable diversified knowledge among employees. One key challenge for enterprises is to ensure that employees mutually and effectively share knowledge. This study integrates a social exchange perspective to understand key factors conducive to successful knowledge transfer in two dimensions: velocity and viscosity. Three key construct areas are examined for influence on the two dependent variables: micro levels (individual and group), macro level (organizational), and knowledge factors. 225 knowledge management system users in 15 companies were surveyed. A path analysis was used to validate 17 proposed hypotheses, with four major findings reported as results: 1) all eight predictive factors exhibited significant influence on both dependent variables; 2) measures of both dependent variables persistently increased with positive influence from common factors of articulability, incentives and training; 3) the organization must consider differential effects of knowledge, individuality, and organization on the two dependent variables; and 4) some factors potentially negatively affect dependent variables. For example, excessive interaction may decrease velocity, while employees with high perceived self-efficacy may decrease velocity and viscosity.
引用
收藏
页码:565 / 590
页数:27
相关论文
共 110 条
  • [11] Transfer mechanisms and knowledge transfer: The cooperative competency perspective
    Chen, Chung-Jen
    Hsiao, Yung-Chang
    Chu, Mo-An
    [J]. JOURNAL OF BUSINESS RESEARCH, 2014, 67 (12) : 2531 - 2541
  • [12] Behavioral intention formation in knowledge sharing: Examining the roles of KMS quality, KMS self-efficacy, and organizational climate
    Chen, Shiuann-Shuoh
    Chuang, Yu-Wei
    Chen, Pei-Yi
    [J]. KNOWLEDGE-BASED SYSTEMS, 2012, 31 : 106 - 118
  • [13] Understanding the continuance intention of knowledge sharing in online communities of practice through the post-knowledge-sharing evaluation processes
    Cheung, Christy M. K.
    Lee, Matthew K. O.
    Lee, Zach W. Y.
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2013, 64 (07): : 1357 - 1374
  • [14] COMPUTER SELF-EFFICACY - DEVELOPMENT OF A MEASURE AND INITIAL TEST
    COMPEAU, DR
    HIGGINS, CA
    [J]. MIS QUARTERLY, 1995, 19 (02) : 189 - 211
  • [15] Transferring R&D knowledge: the key factors affecting knowledge transfer success
    Cummings, JL
    Teng, BS
    [J]. JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT, 2003, 20 (1-2) : 39 - 68
  • [16] Davenport T. H., 1998, WORKING KNOWLEDGE OR
  • [17] Dixon N. M., 2000, Common knowledge: How companies thrive by sharing what they know
  • [18] Domínguez Gonzalez Rodrigo Valio, 2014, Journal of Technology Management & Innovation, V9, P131
  • [19] Identifying key factors affecting transnational knowledge transfer
    Duan, Yanqing
    Nie, Wanyan
    Coakes, Elayne
    [J]. INFORMATION & MANAGEMENT, 2010, 47 (7-8) : 356 - 363
  • [20] Ekore JO, 2014, MANAG-J CONTEMP MANA, V19, P3