| Title |
A framework for AI-powered service innovation capability: Review and agenda for future research |
| ID_Doc |
67805 |
| Authors |
Akter, S; Hossain, MA; Sajib, S; Sultana, S; Rahman, M; Vrontis, D; McCarthy, G |
| Title |
A framework for AI-powered service innovation capability: Review and agenda for future research |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.technovation.2023.102768 |
| 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 Revo-lution. 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 organiza-tional agility and competitive advantage. |
| Author Keywords |
AI-Powered service innovation; Innovation capability; AI market Capability; AI infrastructure Capability; AI management Capability; AI ethics; Organizational agility; Sustainable competitive advantage |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001001977000001 |
| WoS Category |
Engineering, Industrial; Management; Operations Research & Management Science |
| Research Area |
Engineering; Business & Economics; Operations Research & Management Science |
| PDF |
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