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Gen-AI’s effects on new value propositions in business model innovation: Evidence from information technology industry

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  • Teng, Dequn
  • Ye, Chen
  • Martinez, Veronica

Abstract

Generative AI (Gen-AI) with its evolving natural language capabilities is dramatically changing the way that businesses operate and customers consume their products and services. While existing literature discusses Gen-AI’s impact on computer science and engineering, its adoption significantly influences business models across various industries. This paper focuses on how Gen-AI affects new value propositions within business model innovation (BMI). The qualitative research method is adopted in this research. The data is collected and analyzed through 32 semi-structured interviews and archival sources. The study identifies five approaches — knowledge querying-based cloud solutions, content creation, AI agents, foundation models, and upstream industry chain infrastructure — that Gen-AI affects new value propositions in BMI. This research introduces empirical evidence from the information technology (IT) industry, broadening the contextual boundaries of Gen-AI’s new value propositions in BMI. The study advances beyond isolated mechanisms, providing a quadrant view and process map to illustrate the interrelated dynamic effects of Gen-AI’s new value propositions in both radical and incremental BMI.

Suggested Citation

  • Teng, Dequn & Ye, Chen & Martinez, Veronica, 2025. "Gen-AI’s effects on new value propositions in business model innovation: Evidence from information technology industry," Technovation, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:techno:v:143:y:2025:i:c:s0166497225000239
    DOI: 10.1016/j.technovation.2025.103191
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    as
    1. Zhang, Feng & Zhu, Lei & Xu, Zhi & Wu, Yingying, 2023. "Moving from reverse engineering to disruptive innovation in emerging markets: The importance of knowledge creation," Technovation, Elsevier, vol. 125(C).
    2. Lehoux, P. & Daudelin, G. & Williams-Jones, B. & Denis, J.-L. & Longo, C., 2014. "How do business model and health technology design influence each other? Insights from a longitudinal case study of three academic spin-offs," Research Policy, Elsevier, vol. 43(6), pages 1025-1038.
    3. Nanyi Fei & Zhiwu Lu & Yizhao Gao & Guoxing Yang & Yuqi Huo & Jingyuan Wen & Haoyu Lu & Ruihua Song & Xin Gao & Tao Xiang & Hao Sun & Ji-Rong Wen, 2022. "Towards artificial general intelligence via a multimodal foundation model," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).
    5. Shahzad (Shaz) Ansari & Raghu Garud & Arun Kumaraswamy, 2016. "The disruptor's dilemma: TiVo and the U.S. television ecosystem," Strategic Management Journal, Wiley Blackwell, vol. 37(9), pages 1829-1853, September.
    6. Abi Saad, Elie & Tremblay, Nathalie & Agogué, Marine, 2024. "A multi-level perspective on innovation intermediaries: The case of the diffusion of digital technologies in healthcare," Technovation, Elsevier, vol. 129(C).
    7. Rantala, Tero & Ukko, Juhani & Nasiri, Mina & Saunila, Minna, 2023. "Shifting focus of value creation through industrial digital twins—From internal application to ecosystem-level utilization," Technovation, Elsevier, vol. 125(C).
    8. Brea, Edgar, 2023. "A framework for mapping actor roles and their innovation potential in digital ecosystems," Technovation, Elsevier, vol. 125(C).
    9. Abbate, Stefano & Centobelli, Piera & Cerchione, Roberto, 2023. "From Fast to Slow: An Exploratory Analysis of Circular Business Models in the Italian Apparel Industry," International Journal of Production Economics, Elsevier, vol. 260(C).
    10. Roxana Ologeanu-Taddei & Cameron Guthrie & Tina Blegind Jensen, 2023. "Digital transformation of professional healthcare practices: fitness seeking across a rugged value landscape," European Journal of Information Systems, Taylor & Francis Journals, vol. 32(3), pages 354-371, May.
    11. Ghosh, Swapan & Hughes, Mat & Hodgkinson, Ian & Hughes, Paul, 2022. "Digital transformation of industrial businesses: A dynamic capability approach," Technovation, Elsevier, vol. 113(C).
    12. Querci, Ilaria & Monsurrò, Luigi & Peverini, Paolo, 2024. "When anthropomorphism backfires: Anticipation of negative social roles as a source of resistance to smart object adoption," Technovation, Elsevier, vol. 132(C).
    13. Elizabeth Han & Dezhi Yin & Han Zhang, 2023. "Bots with Feelings: Should AI Agents Express Positive Emotion in Customer Service?," Information Systems Research, INFORMS, vol. 34(3), pages 1296-1311, September.
    14. Baabdullah, Abdullah M., 2024. "Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    15. Kazantsev, Nikolai & Islam, Nazrul & Zwiegelaar, Jeremy & Brown, Alan & Maull, Roger, 2023. "Data sharing for business model innovation in platform ecosystems: From private data to public good," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    16. Akhtar, Pervaiz & Ghouri, Arsalan Mujahid & Ashraf, Aniqa & Lim, Jia Jia & Khan, Naveed R & Ma, Shuang, 2024. "Smart product platforming powered by AI and generative AI: Personalization for the circular economy," International Journal of Production Economics, Elsevier, vol. 273(C).
    17. Leiting, Ann-Kathrin & De Cuyper, Lien & Kauffmann, Christian, 2022. "The Internet of Things and the case of Bosch: Changing business models while staying true to yourself," Technovation, Elsevier, vol. 118(C).
    18. Isaac Vaghefi & Bogdan Negoita & Liette Lapointe, 2023. "The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites," Information Systems Research, INFORMS, vol. 34(1), pages 85-110, March.
    19. Fred Niederman & Elizabeth White Baker, 2023. "Ethics and AI Issues: Old Container with New Wine?," Information Systems Frontiers, Springer, vol. 25(1), pages 9-28, February.
    20. Cheng, Cong & Wang, Limin, 2022. "How companies configure digital innovation attributes for business model innovation? A configurational view," Technovation, Elsevier, vol. 112(C).
    21. Winterhalter, Stephan & Zeschky, Marco B. & Neumann, Lukas & Gassmann, Oliver, 2017. "Business Models for Frugal Innovation in Emerging Markets: The Case of the Medical Device and Laboratory Equipment Industry," Technovation, Elsevier, vol. 66, pages 3-13.
    22. N. Viswanadham, 2018. "Performance analysis and design of competitive business models," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 983-999, January.
    23. Raphael Amit & Christoph Zott, 2001. "Value creation in E‐business," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 493-520, June.
    24. Fosso Wamba, Samuel & Queiroz, Maciel M. & Chiappetta Jabbour, Charbel Jose & Shi, Chunming (Victor), 2023. "Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?," International Journal of Production Economics, Elsevier, vol. 265(C).
    25. Mariani, Marcello & Dwivedi, Yogesh K., 2024. "Generative artificial intelligence in innovation management: A preview of future research developments," Journal of Business Research, Elsevier, vol. 175(C).
    26. Bastian Burger & Dominik K. Kanbach & Sascha Kraus & Matthias Breier & Vincenzo Corvello, 2023. "On the use of AI-based tools like ChatGPT to support management research," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 26(7), pages 233-241, April.
    27. Ozdemir, Sena & Wang, Yichuan & Gupta, Suraksha & Sena, Vania & Zhang, Shijie & Zhang, Minhao, 2024. "Customer analytics and new product performance: The role of contingencies," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    28. Kiel, Daniel & Arnold, Christian & Voigt, Kai-Ingo, 2017. "The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective," Technovation, Elsevier, vol. 68(C), pages 4-19.
    29. Miehé, Lucas & Palmié, Maximilian & Oghazi, Pejvak, 2023. "Connection successfully established: How complementors use connectivity technologies to join existing ecosystems – Four archetype strategies from the mobility sector," Technovation, Elsevier, vol. 122(C).
    30. Aldren Gonzales & Guruprabha Guruswamy & Scott R Smith, 2023. "Synthetic data in health care: A narrative review," PLOS Digital Health, Public Library of Science, vol. 2(1), pages 1-16, January.
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