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Towards a Conceptual Framework for Customer Intelligence in the Era of Big Data

Author

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  • Nguyen Anh Khoa Dam

    (Université du Québec à Trois-Rivières, Canada)

  • Thang Le Dinh

    (Université du Québec à Trois-Rivières, Canada)

  • William Menvielle

    (Université du Québec à Trois-Rivières, Canada)

Abstract

The dominance of services and service-based products in today's economy highlights the significance of customer intelligence for service offerings. Furthermore, the revolution of big data has generated a vast amount of customer data and reshaped the dimensions of organization, management, and technology within enterprises. The big data era also acknowledges the role of customers for value co-creation. Therefore, the objective of this paper is to propose a service-based framework for customer intelligence in the age of big data, hereafter called the SBCI framework, from the design science and service science approach. It laid the groundwork upon design science; the SBCI framework is proposed with the detailed artefacts, including construct, model, method, and instantiation. The framework also reflects service science through the three levels: 1) the network of service systems level for service proposal, 2) the service system level for service creation, and 3) the service level for service operation.

Suggested Citation

  • Nguyen Anh Khoa Dam & Thang Le Dinh & William Menvielle, 2021. "Towards a Conceptual Framework for Customer Intelligence in the Era of Big Data," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 17(4), pages 1-17, October.
    • Handle: RePEc:igg:jiit00:v:17:y:2021:i:4:p:1-17
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    References listed on IDEAS

    as
    1. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    2. Ramaswamy, Venkat & Ozcan, Kerimcan, 2018. "What is co-creation? An interactional creation framework and its implications for value creation," Journal of Business Research, Elsevier, vol. 84(C), pages 196-205.
    3. Thang Le Dinh & Thanh Thoa Pham Thi, 2016. "Collaborative Business Service Modelling in Knowledge-Intensive Enterprises," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 7(4), pages 1-22, October.
    4. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
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