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An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance

Author

Listed:
  • Surajit Bag

    (UJ - University of Johannesburg [South Africa], NUS - North South University)

  • Shivam Gupta

    (NEOMA - Neoma Business School)

  • Ajay Kumar

    (EM - EMLyon Business School)

  • Uthayasankar Sivarajah

    (University of Bradford)

Abstract

This study examines the effect of big data powered artificial intelligence on customer knowledge creation, user knowledge creation and external market knowledge creation to better understand its impact on B2B marketing rational decision making to influence firm performance. The theoretical model is grounded in Knowledge Management Theory (KMT) and the primary data was collected from B2B companies functioning in the South African mining industry. Findings point out that big data powered artificial intelligence and the path customer knowledge creation is significant. Secondly, big data powered artificial intelligence and the path user knowledge creation is significant. Thirdly, big data powered artificial intelligence and the path external market knowledge creation is significant. It was observed that customer knowledge creation, user knowledge creation and external market knowledge creation have significant effect on the B2B marketing-rational decision making. Finally, the path B2B marketing rational decision making has a significant effect on firm performance.

Suggested Citation

  • Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
    • Handle: RePEc:hal:journl:hal-03188195
    DOI: 10.1016/j.indmarman.2020.12.001
    Note: View the original document on HAL open archive server: https://hal.science/hal-03188195v1
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    References listed on IDEAS

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