IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v148y2022icp241-251.html
   My bibliography  Save this article

The effectiveness of AI salesperson vs. human salesperson across the buyer-seller relationship stages

Author

Listed:
  • Chang, Woojung

Abstract

Given the infusion of artificial intelligence (AI) in B2B sales, AI salespeople perform required sales tasks more effectively than human salespeople in some contexts but not in others. To gain insights about the contexts in which the relative effectiveness of AI over human salespeople varies, this conceptual paper develops a framework which systematically organizes contingency factors. Further, by combining the relationship lifecycle theory with AI job replacement theory, this paper provides well-grounded propositions about when AI or human salespeople perform better for buyers in distinct relationship stages with the seller. The paper concludes with implications and future research directions on the adoption of AI in B2B sales. In doing so, this paper provides a solid foundation which future researchers can build upon and enriches the discussion about the contingency factors, the changing roles of human salespeople, and how to structure sales organization with AI and human salespeople.

Suggested Citation

  • Chang, Woojung, 2022. "The effectiveness of AI salesperson vs. human salesperson across the buyer-seller relationship stages," Journal of Business Research, Elsevier, vol. 148(C), pages 241-251.
  • Handle: RePEc:eee:jbrese:v:148:y:2022:i:c:p:241-251
    DOI: 10.1016/j.jbusres.2022.04.065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296322004155
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2022.04.065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mick, David Glen & Fournier, Susan, 1998. "Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(2), pages 123-143, September.
    2. Rapp, Adam & Beitelspacher, Lauren Skinner & Schillewaert, Niels & Baker, Thomas L., 2012. "The differing effects of technology on inside vs. outside sales forces to facilitate enhanced customer orientation and interfunctional coordination," Journal of Business Research, Elsevier, vol. 65(7), pages 929-936.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Rodríguez, Rocio & Svensson, Göran & Mehl, Erik Jens, 2020. "Digitalization process of complex B2B sales processes – Enablers and obstacles," Technology in Society, Elsevier, vol. 62(C).
    5. Locander, David A. & Locander, Jennifer A. & Weinberg, Frankie J., 2020. "How salesperson traits and intuitive judgments influence adaptive selling: A sensemaking perspective," Journal of Business Research, Elsevier, vol. 118(C), pages 452-462.
    6. Chang, Woojung & Kim, Kyoungmi (Kate), 2022. "Appropriate service robots in exchange and communal relationships," Journal of Business Research, Elsevier, vol. 141(C), pages 462-474.
    7. 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.
    8. Mangus, Stephanie M. & Bock, Dora E. & Jones, Eli & Folse, Judith Anne Garretson, 2020. "Examining the effects of mutual information sharing and relationship empathy: A social penetration theory perspective," Journal of Business Research, Elsevier, vol. 109(C), pages 375-384.
    9. Grewal, Dhruv & Kroschke, Mirja & Mende, Martin & Roggeveen, Anne L. & Scott, Maura L., 2020. "Frontline Cyborgs at Your Service: How Human Enhancement Technologies Affect Customer Experiences in Retail, Sales, and Service Settings," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 9-25.
    10. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    2. Abhijit Guha & Dhruv Grewal, 2022. "How robots will affect the future of retailing," AMS Review, Springer;Academy of Marketing Science, vol. 12(3), pages 245-252, December.
    3. El-Manstrly, Dahlia & Herhausen, Dennis & Guha, Abhijit & Blut, Markus & Grewal, Dhruv, 2024. "Should online retailers emphasize efficiency or experience? First insights on the evolution and heterogeneity of website attributes," Journal of Retailing, Elsevier, vol. 100(2), pages 274-292.
    4. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    5. Daniela Corsaro & Isabella Maggioni, 2021. "Managing the sales transformation process in B2B: between human and digital," Italian Journal of Marketing, Springer, vol. 2021(1), pages 25-56, June.
    6. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    7. Navid Bahmani & Amit Bhatnagar & Dinesh Gauri, 2022. "Hey, Alexa! What attributes of Skills affect firm value?," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1219-1235, November.
    8. Grewal, Dhruv & Guha, Abhijit & Satornino, Cinthia B. & Schweiger, Elisa B., 2021. "Artificial intelligence: The light and the darkness," Journal of Business Research, Elsevier, vol. 136(C), pages 229-236.
    9. Moore, Simon & Bulmer, Sandy & Elms, Jonathan, 2022. "The social significance of AI in retail on customer experience and shopping practices," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    10. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    11. Chen, Nuoya & Mohanty, Smaraki & Jiao, Jinfeng & Fan, Xiucheng, 2021. "To err is human: Tolerate humans instead of machines in service failure," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2021. "Why doesn't our value creation payoff: Unpacking customer analytics-driven value creation capability to sustain competitive advantage," Journal of Business Research, Elsevier, vol. 131(C), pages 287-296.
    13. Shankar, Venkatesh & Kalyanam, Kirthi & Setia, Pankaj & Golmohammadi, Alireza & Tirunillai, Seshadri & Douglass, Tom & Hennessey, John & Bull, J.S. & Waddoups, Rand, 2021. "How Technology is Changing Retail," Journal of Retailing, Elsevier, vol. 97(1), pages 13-27.
    14. Pelau Corina & Barbul Maria & Bojescu Irina, 2022. "A conceptual comparative approach on personal AI assistants and external service robots," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 1466-1474, August.
    15. Erik Hermann & Gizem Yalcin Williams & Stefano Puntoni, 2024. "Deploying artificial intelligence in services to AID vulnerable consumers," Journal of the Academy of Marketing Science, Springer, vol. 52(5), pages 1431-1451, October.
    16. Stephanie M. Noble & Martin Mende, 2023. "The future of artificial intelligence and robotics in the retail and service sector: Sketching the field of consumer-robot-experiences," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 747-756, July.
    17. Huang, Ming-Hui & Rust, Roland T., 2022. "A Framework for Collaborative Artificial Intelligence in Marketing," Journal of Retailing, Elsevier, vol. 98(2), pages 209-223.
    18. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    19. Tommaso AGASISTI & Geraint JOHNES & Marco PACCAGNELLA, 2021. "Tasks, occupations and wages in OECD countries," International Labour Review, International Labour Organization, vol. 160(1), pages 85-112, March.
    20. Andrés Rodríguez-Pose & Michael Storper, 2020. "Housing, urban growth and inequalities: The limits to deregulation and upzoning in reducing economic and spatial inequality," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 223-248, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:148:y:2022:i:c:p:241-251. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.