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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-03609916v1
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    References listed on IDEAS

    as
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    2. Gibbert, Michael & Leibold, Marius & Probst, Gilbert, 2002. "Five Styles of Customer Knowledge Management, and How Smart Companies Use Them To Create Value," European Management Journal, Elsevier, vol. 20(5), pages 459-469, October.
    3. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    4. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    5. 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).
    6. Philip Kotler, 2018. "Why broadened marketing has enriched marketing," AMS Review, Springer;Academy of Marketing Science, vol. 8(1), pages 20-22, June.
    7. 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.
    8. 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.
    9. Jean-Luc Giannelloni & Emmanuelle Le Nagard, 2016. "Big Data et marketing prédictif. Vers un « consommateur nu » ?," Post-Print hal-02309388, HAL.
    10. Gilles Marion, 2001. "Le marketing relationnel existe-t-il ?," Post-Print halshs-02920248, HAL.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
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    Cited by:

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    2. 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).
    3. 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).
    4. 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).
    5. 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.
    6. 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).
    7. 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).
    8. 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).
    9. 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.

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