IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p8009-d1477407.html
   My bibliography  Save this article

Co-Creation with AI in B2B Markets: A Systematic Literature Review

Author

Listed:
  • David Fehrenbach

    (Department of Marketing, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain)

  • Carolina Herrando

    (Department of Marketing, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain)

  • María José Martín-De Hoyos

    (Department of Marketing, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain)

Abstract

Artificial intelligence (AI) has significantly disrupted B2B markets, impacting companies at the product, service, and organizational levels. A key focus is on how to leverage the power of AI to augment and automate activities to create value for customers. One specific form of value creation investigated in marketing is co-creation between parties. Introducing AI into the co-creation process is exciting due to its technological characteristics and the anticipated business value it can bring. This study explores the state of the art in co-creation with AI in B2B markets. It examines how buyers, suppliers, and technology providers interact, along with their motives and characteristics. Furthermore, it investigates the processes enabling these interactions, from the form of AI used and AI tool integration to the necessary capabilities of other actors involved. Finally, this study examines the content of co-creation described in the existing literature and the value created jointly. This review contributes to delineating the interaction between human and non-human actors in a B2B co-creation ecosystem. The implications of this research provide B2B companies with a discussion about the actors, motives, characteristics, processes, and content of co-creation with AI in B2B drivers and barriers of AI for co-creation, mapping the way for success.

Suggested Citation

  • David Fehrenbach & Carolina Herrando & María José Martín-De Hoyos, 2024. "Co-Creation with AI in B2B Markets: A Systematic Literature Review," Sustainability, MDPI, vol. 16(18), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8009-:d:1477407
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/8009/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/18/8009/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert W. Palmatier & Mark B. Houston & John Hulland, 2018. "Review articles: purpose, process, and structure," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 1-5, January.
    2. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    3. Peres, Renana & Schreier, Martin & Schweidel, David & Sorescu, Alina, 2023. "On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 269-275.
    4. Sohrabpour, Vahid & Oghazi, Pejvak & Toorajipour, Reza & Nazarpour, Ali, 2021. "Export sales forecasting using artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    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. Biao Gao & Yiming Wang & Huiqin Xie & Yi Hu & Yi Hu, 2023. "Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization," SAGE Open, , vol. 13(4), pages 21582440231, November.
    2. Singh, Kuldeep & Chatterjee, Sheshadri & Mariani, Marcello, 2024. "Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamis," Technovation, Elsevier, vol. 133(C).
    3. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    4. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    5. Fabio Magnacca & Riccardo Giannetti, 2024. "Management accounting and new product development: a systematic literature review and future research directions," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 28(2), pages 651-685, June.
    6. Ashkan Faramarzi & Stefan Worm & Wolfgang Ulaga, 2024. "Service strategy’s effect on firm performance: A meta-analysis of the servitization literature," Journal of the Academy of Marketing Science, Springer, vol. 52(4), pages 1018-1044, July.
    7. G. Tomas M. Hult & Forrest V. Morgeson III & Udit Sharma & Claes Fornell, 2022. "Customer satisfaction and international business: A multidisciplinary review and avenues for research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1695-1733, October.
    8. Arpan Kumar Kar & P. S. Varsha & Shivakami Rajan, 2023. "Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 659-689, December.
    9. Alvarez, Claudio & David, Meredith E. & George, Morris, 2023. "Types of Consumer-Brand Relationships: A systematic review and future research agenda," Journal of Business Research, Elsevier, vol. 160(C).
    10. Mandler, Timo & Sezen, Burcu & Chen, Jieke & Özsomer, Ayşegül, 2021. "Performance consequences of marketing standardization/adaptation: A systematic literature review and future research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 416-435.
    11. Diedericks, Lizette & Erasmus, Alet C. & Donoghue, Suné, 2020. "Now is the time to embrace interactive electronic applications of Association Pattern Technique," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    12. Kirshner, Samuel N., 2024. "GPT and CLT: The impact of ChatGPT's level of abstraction on consumer recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    13. Hoffmann, Stefan & Lasarov, Wassili & Dwivedi, Yogesh K., 2024. "AI-empowered scale development: Testing the potential of ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    14. Mukherjee, Debmalya & Lim, Weng Marc & Kumar, Satish & Donthu, Naveen, 2022. "Guidelines for advancing theory and practice through bibliometric research," Journal of Business Research, Elsevier, vol. 148(C), pages 101-115.
    15. Katharina Dowling & Daniel Guhl & Daniel Klapper & Martin Spann & Lucas Stich & Narine Yegoryan, 2020. "Behavioral biases in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 449-477, May.
    16. Uchendu Eugene Chigbu & Sulaiman Olusegun Atiku & Cherley C. Du Plessis, 2023. "The Science of Literature Reviews: Searching, Identifying, Selecting, and Synthesising," Publications, MDPI, vol. 11(1), pages 1-16, January.
    17. Lim, Weng Marc & Rasul, Tareq, 2022. "Customer engagement and social media: Revisiting the past to inform the future," Journal of Business Research, Elsevier, vol. 148(C), pages 325-342.
    18. Ali Shamsollahi & Danielle A. Chmielewski-Raimondo & Simon J. Bell & Reza Kachouie, 2021. "Buyer–supplier relationship dynamics: a systematic review," Journal of the Academy of Marketing Science, Springer, vol. 49(2), pages 418-436, March.
    19. Maulana Noveri, 2020. "Research Trends in Marketing Science Before COVID-19 Outbreak: A Literature Review," Management & Marketing, Sciendo, vol. 15(s1), pages 514-533, October.
    20. Oliver J. Rutz & George F. Watson, 2019. "Endogeneity and marketing strategy research: an overview," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 479-498, May.

    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:gam:jsusta:v:16:y:2024:i:18:p:8009-:d:1477407. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.