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Marketing in a data-driven digital world: Implications for the role and scope of marketing

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  • Shah, Denish
  • Murthi, B.P.S.

Abstract

We are living in a world of data abundance and rapid technological advances in the digital realm. The consequences for marketing practices have been transformative. The Marketing Edge and Journal of Business Research sponsored this special issue to address the need for research in this domain. We draw upon past literature to trace how data-driven marketing practices and adoption of digital technologies have helped transform and expand the scope of marketing from a function that was primarily related to analyzing advertisements, to crafting analytics-driven customer-centric marketing, to a function that is fiscally responsible and increasingly technology enabled. The collection of nine studies in this special issue richly describes the challenges that marketing practitioners face and highlights research issues that need to be addressed.

Suggested Citation

  • Shah, Denish & Murthi, B.P.S., 2021. "Marketing in a data-driven digital world: Implications for the role and scope of marketing," Journal of Business Research, Elsevier, vol. 125(C), pages 772-779.
    • Handle: RePEc:eee:jbrese:v:125:y:2021:i:c:p:772-779
    DOI: 10.1016/j.jbusres.2020.06.062
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    Cited by:

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    2. You-Shyang Chen & Ying-Hsun Hung & Yu-Sheng Lin, 2023. "A Study to Identify Long-Term Care Insurance Using Advanced Intelligent RST Hybrid Models with Two-Stage Performance Evaluation," Mathematics, MDPI, vol. 11(13), pages 1-34, July.
    3. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
    4. Giang Barrera, Kevin & Shah, Denish, 2023. "Marketing in the Metaverse: Conceptual understanding, framework, and research agenda," Journal of Business Research, Elsevier, vol. 155(PA).
    5. Kumar, Anil & Naz, Farheen & Luthra, Sunil & Vashistha, Rajat & Kumar, Vikas & Garza-Reyes, Jose Arturo & Chhabra, Deepak, 2023. "Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach," Journal of Business Research, Elsevier, vol. 162(C).
    6. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    7. Keshavarz, Ali Reza & Gölgeci, Ismail, 2023. "The value of the sales function: A multilevel examination of the effect of strategic marketing ambidexterity and industry contingencies," Journal of Business Research, Elsevier, vol. 156(C).
    8. Horst Treiblmaier & Elena Petrozhitskaya, 2023. "Is it time for marketing to reappraise B2C relationship management? The emergence of a new loyalty paradigm through blockchain technology," Post-Print hal-04521356, HAL.
    9. Treiblmaier, Horst & Petrozhitskaya, Elena, 2023. "Is it time for marketing to reappraise B2C relationship management? The emergence of a new loyalty paradigm through blockchain technology," Journal of Business Research, Elsevier, vol. 159(C).
    10. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
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