Akter, Shahriar, Hossain, Md Afnan, Sajib, Shahriar , Sultana, Saida, Rahman, Mahfuzur, Vrontis, Demetris and McCarthy, Grace (2023) A Framework for AI-Powered Service Innovation Capability: Review and Agenda for Future Research. Technovation, 125 . p. 102768. ISSN 0166-4972
Full content URL: https://doi.org/10.1016/j.technovation.2023.102768
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Item Type: | Article |
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Item Status: | Live Archive |
Abstract
Artificial intelligence (AI)-powered service innovation (e.g., OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney) has become one of the most significant determinants of firms' success in the fourth industrial revolution. However, extant studies on this topic show that research studies hitherto have been ad-hoc, lacking a conceptual framework for the strategic management of AI-powered service innovation capability in dynamic markets. Thus, this study synthesises the current body of knowledge, proposes a framework, and develops an agenda to advance our knowledge. The findings reveal: (1) AI-market capability relates to customer orientation, industry orientation, and cross-functional orientation; (2) AI-infrastructure capability relates to data, business models, and ecosystem; and (3) AI-management capability relates to AI-orientation, organisational learning, and AI ethics which are crucial determinants of forming AI-powered service innovation capability. These capabilities for the strategic management of AI-powered service innovations play an essential role in achieving organizational agility and competitive advantage.
Keywords: | AI-powered service innovation, Innovation capability, AI market capability, AI infrastructure capability, AI management capability, AI ethics, Organizational agility, Sustainable competitive advantage |
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Subjects: | N Business and Administrative studies > N211 Strategic Management |
Divisions: | Lincoln International Business School |
ID Code: | 54616 |
Deposited On: | 01 Jun 2023 13:06 |
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