Moving beyond ‘proof points’: Factors underpinning AI-enabled business model transformation

IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE International Journal of Information Management Pub Date : 2024-04-23 DOI:10.1016/j.ijinfomgt.2024.102796
Stuart Black , Daniel Samson , Alon Ellis
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Abstract

Business model renewal is a key consideration for organizations, and AI (artificial intelligence) has been identified as a significant potential enabler for that renewal. However, while there are examples of emerging organizations using AI as a key basis of competitive advantage as well as examples of established organizations trialing AI technologies, there are relatively few examples of established organizations fundamentally transforming their business models through the use of AI. Through case studies underpinned by interviews with named executives of ten organizations and complemented by an applicability check involving 14 executives, advisors and practice-oriented academics, this paper presents an empirically supported set of factors linked to successful AI-enabled business model transformation as well as a model of interactions between these factors. Using a horizontal contrasting approach to articulate the difference between empirical findings and a literature based model, this paper moves from the language of potentially passive top management support towards the concept of proactive leadership and introduces tech-sensitive innovation culture, AI-sensitive risk tolerance and strategic process discipline into the dynamic capability lexicon. The insights of this paper can be used by managers to assess their readiness to move beyond traditional ‘proof-points’ and successfully undertake and accelerate AI-enabled business model transformation.

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超越 "证明点":支撑人工智能商业模式转型的因素
商业模式的更新是企业的一个重要考虑因素,而人工智能(AI)已被认为是商业模式更新的一个重要潜在推动因素。然而,虽然有新兴组织将人工智能作为竞争优势的重要基础,也有成熟组织试用人工智能技术的例子,但相对而言,成熟组织通过使用人工智能从根本上转变其业务模式的例子却很少。本文通过对十家组织的高管进行访谈,并辅以14位高管、顾问和以实践为导向的学者参与的适用性检查,进行了案例研究,提出了一系列与人工智能驱动的商业模式成功转型相关的经验性支持因素,以及这些因素之间的互动模型。本文采用横向对比的方法来阐明实证研究结果与基于文献的模型之间的差异,从高层管理者可能被动支持的语言转向主动领导的概念,并将对技术敏感的创新文化、对人工智能敏感的风险容忍度和战略流程纪律引入动态能力词典。管理者可以利用本文的见解来评估自己是否已做好准备,超越传统的 "验证点",成功开展并加速人工智能驱动的商业模式转型。
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来源期刊
International Journal of Information Management
International Journal of Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
53.10
自引率
6.20%
发文量
111
审稿时长
24 days
期刊介绍: The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include: Comprehensive Coverage: IJIM keeps readers informed with major papers, reports, and reviews. Topical Relevance: The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues. Focus on Quality: IJIM prioritizes high-quality papers that address contemporary issues in information management.
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