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Sources of knowledge acquisition for Chinese software engineers

Author

Listed:
  • Dimitris Assimakopoulos

    (EESC-GEM Grenoble Ecole de Management)

  • Jie Yan

    (EESC-GEM Grenoble Ecole de Management)

Abstract

This research adopts a triangulation strategy based on ethnographic case study and questionnaire survey shedding light on how Chinese software engineers acquire codified and tacit knowledge in their daily development work. Software engineers make effective use of complementary resources within a broad spectrum of choices for seeking advice, learning how to solve technical problems, and transferring knowledge to the local community of practice from far beyond the organizational boundary. The analysis focuses on patterns of advice seeking relations within and across project team boundaries, also highlighting the Internet software technology forums as an important channel for technical information sharing across organizational boundaries. The implications for R&D managers are also discussed with special reference to software development and other knowledge intensive computer related work in China.

Suggested Citation

  • Dimitris Assimakopoulos & Jie Yan, 2006. "Sources of knowledge acquisition for Chinese software engineers," Post-Print hal-02313393, HAL.
    • Handle: RePEc:hal:journl:hal-02313393
    DOI: 10.1111/j.1467-9310.2005.00418.x
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    Cited by:

    1. Schehar Bano & Muhamamd Aslam Khan & Qazi Habib Ur Rehman & Asad Afzal Humayoun, 2011. "Schematizing Talent Management, A Core Business Issue," Far East Journal of Psychology and Business, Far East Research Centre, vol. 2(1), pages 4-16, January.
    2. Matias Ramirez & Xibao Li, 2008. "Learning and sharing in a Chinese high-technology cluster: A study of inter-firm and intra-firm knowledge flows between R&D employees," SPRU Working Paper Series 174, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Liu, Min-Shi, 2012. "Impact of knowledge incentive mechanisms on individual knowledge creation behavior—An empirical study for Taiwanese R&D professionals," International Journal of Information Management, Elsevier, vol. 32(5), pages 442-450.
    4. Ioannidis, Evangelos & Varsakelis, Nikos & Antoniou, Ioannis, 2018. "Experts in Knowledge Networks: Central Positioning and Intelligent Selections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 890-905.
    5. Vitaliy Vasilievich Biryukov & Elena Vasilievna Romanenko & Vera Petrovna Ploskonosova & Irina Gennadievna Bagno & Yuliya Vadimovna Kalashnikova, 2015. "Small Businesses in the Context of Innovation Competition," International Journal of Economics and Financial Issues, Econjournals, vol. 5(4), pages 989-994.
    6. Ming-Tien Tsai & Hsiu-Ching Chang & Nai-Chang Cheng & Chung-Chang Lien, 2013. "Understanding IT professionals’ knowledge sharing intention through KMS: a social exchange perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2739-2753, August.
    7. Shengli, Liu & Yongtu, Liang, 2019. "Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).

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