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Big data and firm marketing performance: Findings from knowledge-based view

Author

Listed:
  • Shivam Gupta

    (NEOMA - Neoma Business School)

  • Théo Justy

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier, Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

  • Shampy Kamboj

    (National Institute of Technology [Hamirpur])

  • Ajay Kumar

    (EM - EMLyon Business School)

  • Eivind Kristoffersen

    (NTNU - Norwegian University of Science and Technology [Trondheim] - NTNU - Norwegian University of Science and Technology)

Abstract

No abstract is available for this item.

Suggested Citation

  • Shivam Gupta & Théo Justy & Shampy Kamboj & Ajay Kumar & Eivind Kristoffersen, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Post-Print hal-03609916, HAL.
    • Handle: RePEc:hal:journl:hal-03609916
    DOI: 10.1016/j.techfore.2021.120986
    Note: View the original document on HAL open archive server: https://hal.umontpellier.fr/hal-03609916
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    References listed on IDEAS

    as
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    3. Liu, Ying & Soroka, Anthony & Han, Liangxiu & Jian, Jin & Tang, Min, 2020. "Cloud-based big data analytics for customer insight-driven design innovation in SMEs," International Journal of Information Management, Elsevier, vol. 51(C).
    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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    6. Lin, Runhui & Xie, Zaiyang & Hao, Yunhong & Wang, Jie, 2020. "Improving high-tech enterprise innovation in big data environment: A combinative view of internal and external governance," International Journal of Information Management, Elsevier, vol. 50(C), pages 575-585.
    7. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
    8. Constance E. Helfat & Margaret A. Peteraf, 2015. "Managerial cognitive capabilities and the microfoundations of dynamic capabilities," Strategic Management Journal, Wiley Blackwell, vol. 36(6), pages 831-850, June.
    9. Kar, Arpan Kumar & Dwivedi, Yogesh K., 2020. "Theory building with big data-driven research – Moving away from the “What” towards the “Why”," International Journal of Information Management, Elsevier, vol. 54(C).
    10. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    11. Philip Kotler, 2018. "Why broadened marketing has enriched marketing," AMS Review, Springer;Academy of Marketing Science, vol. 8(1), pages 20-22, June.
    12. Shirazi, Farid & Mohammadi, Mahbobeh, 2019. "A big data analytics model for customer churn prediction in the retiree segment," International Journal of Information Management, Elsevier, vol. 48(C), pages 238-253.
    13. Gilles Marion, 2001. "Le marketing relationnel existe-t-il ?," Post-Print halshs-02920248, HAL.
    14. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.
    15. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
    16. Irina Heimbach & Daniel Kostyra & Oliver Hinz, 2015. "Marketing Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(2), pages 129-133, April.
    17. Heimbach, Irina & Kostyra, Daniel S. & Hinz, Oliver, 2015. "Catchword Marketing Automation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77136, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Yeo, Sook Fern & Tan, Cheng Ling & Kumar, Ajay & Tan, Kim Hua & Wong, Jee Kit, 2022. "Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    2. Sandra Maria Correia Loureiro & Jorge Nascimento, 2021. "Shaping a View on the Influence of Technologies on Sustainable Tourism," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    3. Zeng, Huixiang & Ran, Hangxin & Zhou, Qiong & Jin, Youliang & Cheng, Xu, 2022. "The financial effect of firm digitalization: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    4. Chatterjee, Sheshadri & Chaudhuri, Ranjan & González, Vanessa Izquierdo & Kumar, Ajay & Singh, Sanjay Kumar, 2022. "Resource integration and dynamic capability of frontline employee during COVID-19 pandemic: From value creation and engineering management perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Eachempati, Prajwal & Srivastava, Praveen Ranjan & Kumar, Ajay & Muñoz de Prat, Javier & Delen, Dursun, 2022. "Can customer sentiment impact firm value? An integrated text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Rizvanović, Belma & Zutshi, Aneesh & Grilo, Antonio & Nodehi, Tahereh, 2023. "Linking the potentials of extended digital marketing impact and start-up growth: Developing a macro-dynamic framework of start-up growth drivers supported by digital marketing," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    8. Jian Huang & Qinyu Chen & Chengqing Yu, 2022. "A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    9. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).

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