AI-driven business model innovation: A systematic review and research agenda

IF 10.5 1区管理学 Q1 BUSINESS Journal of Business Research Pub Date : 2024-06-14 DOI:10.1016/j.jbusres.2024.114764

Philip Jorzik , Sascha P. Klein , Dominik K. Kanbach , Sascha Kraus

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Abstract

Recent years have seen a surge in research on artificial intelligence (AI)-driven business model innovation (BMI), reflecting its profound impact across industries. However, the field’s current state remains fragmented due to varied conceptual lenses and units of analysis. Existing literature predominantly emphasizes the technological aspects of AI implementation in business models (BMs), treating BMI as a byproduct. Additionally, there is a lack of coherent understanding regarding the scope of BMI propelled by AI. To address these gaps, our study systematically reviews 180 articles, offering two key contributions: (1) a structured analysis of evolving research dimensions in AI-driven BMI, differentiating between static and dynamic views of BMI, and (2) a framework presenting distinct research perspectives on AI-driven BMI, each addressing specific managerial focuses. This synthesis facilitates a comprehensive understanding of the field, enabling the identification of research gaps and proposing future avenues for advancing knowledge on the management of AI-driven BMI.

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人工智能驱动的商业模式创新：系统回顾与研究议程

近年来，有关人工智能（AI）驱动的商业模式创新（BMI）的研究激增，反映出其对各行各业的深远影响。然而，由于概念视角和分析单元各不相同，该领域的现状仍然支离破碎。现有文献主要强调在商业模式（BMs）中实施人工智能的技术层面，而将 BMI 视为副产品。此外，对于人工智能推动的商业智能的范围也缺乏一致的认识。为了弥补这些不足，我们的研究系统地综述了 180 篇文章，做出了两大贡献：(1) 对人工智能驱动的商业模式不断演变的研究维度进行了结构化分析，区分了商业模式的静态和动态观点；(2) 建立了一个框架，介绍了人工智能驱动的商业模式的不同研究视角，每个视角都针对特定的管理重点。这一综述有助于全面了解这一领域，从而找出研究空白，并提出未来的途径，以推进人工智能驱动的生物信息管理知识。

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来源期刊

Journal of Business Research BUSINESS-

CiteScore

20.30

自引率

10.60%

发文量

956

期刊介绍： The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.