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Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel

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  • Paschen, Jeannette
  • Wilson, Matthew
  • Ferreira, João J.

Abstract

The B2B sales process is undergoing substantial transformations fueled by advances in information and communications technology, specifically in artificial intelligence (AI). The premise of AI is to turn vast amounts of data into information for superior knowledge creation and knowledge management in B2B sales. In doing so, AI can significantly alter the traditional human-centric sales process. In this article, we describe how AI affects the B2B sales funnel. For each stage of the funnel, we describe key sales tasks, explain the specific contributions AI can bring, and clarify the role humans play. We also outline managerial considerations to maximize the contributions from AI and people in the context of B2B sales.

Suggested Citation

  • Paschen, Jeannette & Wilson, Matthew & Ferreira, João J., 2020. "Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel," Business Horizons, Elsevier, vol. 63(3), pages 403-414.
  • Handle: RePEc:eee:bushor:v:63:y:2020:i:3:p:403-414
    DOI: 10.1016/j.bushor.2020.01.003
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    References listed on IDEAS

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    1. Seijts, Gerard H. & Gandz, Jeffrey, 2018. "Transformational change and leader character," Business Horizons, Elsevier, vol. 61(2), pages 239-249.
    2. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    3. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    4. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    5. Crittenden, Andrew B. & Crittenden, Victoria L. & Crittenden, William F., 2019. "The digitalization triumvirate: How incumbents survive," Business Horizons, Elsevier, vol. 62(2), pages 259-266.
    6. Morkunas, Vida J. & Paschen, Jeannette & Boon, Edward, 2019. "How blockchain technologies impact your business model," Business Horizons, Elsevier, vol. 62(3), pages 295-306.
    7. Campbell, Colin & Sands, Sean & Ferraro, Carla & Tsao, Hsiu-Yuan (Jody) & Mavrommatis, Alexis, 2020. "From data to action: How marketers can leverage AI," Business Horizons, Elsevier, vol. 63(2), pages 227-243.
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