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Factors affecting the performance of knowledge collaboration in virtual team based on capital appreciation

Author

Listed:
  • Shuli Gao

    (Business College of Beijing Union University)

  • Yanli Guo

    (Business College of Beijing Union University)

  • Jianbin Chen

    (Business College of Beijing Union University)

  • Lin Li

    (Scientific Research Department of Beijing Union University)

Abstract

Knowledge collaboration (KC) is an important strategy measure to improve knowledge management, focusing on not only efficiency of knowledge cooperation, but also adding value of intellectual capital and social capital. In virtual teams, many factors, such as team’s network characteristics, collaborative culture, and individual collaborative intention, affect the performance of KC. By discussing the nature of KC, this paper presents that the performance of can be measured from two aspects: effectiveness of collaboration and efficiency of cooperation. Among them, effectiveness of collaboration is measured through value added and efficiency of cooperation is measured through accuracy and timeliness. Then the paper discusses the factors affecting the performance of KC from network characteristics, individual attributes and team attributes. The results show that network characteristics, individual attributes and team attributes in virtual team have significant impacts on the performance of KC.

Suggested Citation

  • Shuli Gao & Yanli Guo & Jianbin Chen & Lin Li, 2016. "Factors affecting the performance of knowledge collaboration in virtual team based on capital appreciation," Information Technology and Management, Springer, vol. 17(2), pages 119-131, June.
    • Handle: RePEc:spr:infotm:v:17:y:2016:i:2:d:10.1007_s10799-015-0248-y
    DOI: 10.1007/s10799-015-0248-y
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    References listed on IDEAS

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    Cited by:

    1. Xiao Yu & Yangfeng Dai & Qian Xu & Qilin Ye, 2024. "Knowledge Collaboration and Benefits of Standard Implementation of Enterprise in Technology Standard Alliance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8534-8562, June.
    2. Tahani Alsaedi & Nada Sherief & Keith Phalp & Raian Ali, 2022. "Online social transparency in enterprise information systems: a risk assessment method," Information Technology and Management, Springer, vol. 23(2), pages 95-124, June.
    3. Youngseok Lee & Jungwon Cho, 2020. "Knowledge representation for computational thinking using knowledge discovery computing," Information Technology and Management, Springer, vol. 21(1), pages 15-28, March.
    4. Tiko Iyamu & Olayele Adelakun, 2021. "A global virtual team model to improve software development collaboration project," Information Systems and e-Business Management, Springer, vol. 19(3), pages 937-956, September.
    5. Ahmed, Zafor, 2018. "Explaining the unpredictability: A social capital perspective on ICT intervention," International Journal of Information Management, Elsevier, vol. 38(1), pages 175-186.
    6. Wei, Wei & Wang, Jun & Chen, Xuanyi & Yang, Jing & Min, Xiaowei, 2018. "Psychological contract model for knowledge collaboration in virtual community of practice: An analysis based on the game theory," Applied Mathematics and Computation, Elsevier, vol. 329(C), pages 175-187.
    7. Anqi Zhang, 2022. "The application of virtual teams in the improvement of enterprise management capability from the perspective of knowledge transfer," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-14, March.
    8. Vida Davidavičienė & Khaled Al Majzoub & Ieva Meidute-Kavaliauskiene, 2020. "Factors Affecting Knowledge Sharing in Virtual Teams," Sustainability, MDPI, vol. 12(17), pages 1-16, August.

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