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Customer knowledge transfer challenges in a co-creation value network: Toward a reference model

Author

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  • Bagheri, Samaneh
  • Kusters, Rob J.
  • Trienekens, Jos J.M.

Abstract

In today’s interconnected global marketplace, where customers have become increasingly knowledgeable and empowered, a customer-centric view is becoming a prominent differentiating strategy for firms. Accordingly, firms with the aim of delivering a seamless customer experience strive to offer integrated solutions. This quite often relies on inter-organizational collaboration in the context of a value network In this context, customer-related knowledge is regarded as one of the primary sources in the provisioning process of integrated solutions. This, in turn, implies the importance of effective sharing of customer knowledge among actors of a value network.

Suggested Citation

  • Bagheri, Samaneh & Kusters, Rob J. & Trienekens, Jos J.M., 2019. "Customer knowledge transfer challenges in a co-creation value network: Toward a reference model," International Journal of Information Management, Elsevier, vol. 47(C), pages 198-214.
    • Handle: RePEc:eee:ininma:v:47:y:2019:i:c:p:198-214
    DOI: 10.1016/j.ijinfomgt.2018.12.019
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    Cited by:

    1. Syrus M. Islam & Ahsan Habib, 2024. "How impact investing firms use reference frameworks to manage their impact performance: An industry‐level study," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 161-184, March.
    2. Yu Zhou & Shanshan Shi & Shaohua Wang, 2022. "A Multi-Agent Model-Based Evolutionary Model of Port Service Value Network and Decision Preferences," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    3. Sheshadri Chatterjee & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Assessing Consumers’ Co‐production and Future Participation On Value Co‐creation and Business Benefit: an F-P-C-B Model Perspective," Information Systems Frontiers, Springer, vol. 24(3), pages 945-964, June.
    4. Loni Hagen & Mihir Patel & Luis Luna‐Reyes, 2023. "Human‐supervised data science framework for city governments: A design science approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(8), pages 923-936, August.

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