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Big data, knowledge co-creation and decision making in fashion industry

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  • Acharya, Abhilash
  • Singh, Sanjay Kumar
  • Pereira, Vijay
  • Singh, Poonam

Abstract

Big data has become a buzzword and has been one of the most sought after topics for research. The applications of big data have been studied in various important contexts. However, very little has been explored in the realm of integrating knowledge co-creation with the usage of big data when it comes to evidence-based decision-making. The current study empirically investigates data from four fashion retailing organizations. Evidence from our findings suggests that knowledge-based interactions between the customers and the salesforce in those organizations form the core of knowledge co-creation. The findings have revealed that big data indeed can assist in knowledge co-creation, which can in turn adequately lead to evidence-based, effective and efficient decision making for better business returns.

Suggested Citation

  • Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    • Handle: RePEc:eee:ininma:v:42:y:2018:i:c:p:90-101
    DOI: 10.1016/j.ijinfomgt.2018.06.008
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    7. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    8. Xue, Zhebin & Li, Qing & Zeng, Xianyi, 2023. "Social media user behavior analysis applied to the fashion and apparel industry in the big data era," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
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    17. 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.
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    19. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    20. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    21. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.

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