The knowledge and innovation challenges of ChatGPT: A scoping review
Article
Ali, Omar, Murray, Peter, Momin, Mujtaba and Al-Anzi, Fawaz S.. 2023. "The knowledge and innovation challenges of ChatGPT: A scoping review." Technology in Society. 75. https://doi.org/https://doi.org/10.1016/j.techsoc.2023.102402
| Article Title | The knowledge and innovation challenges of ChatGPT: A scoping review |
|---|---|
| ERA Journal ID | 10948 |
| Article Category | Article |
| Authors | Ali, Omar, Murray, Peter, Momin, Mujtaba and Al-Anzi, Fawaz S. |
| Journal Title | Technology in Society |
| Journal Citation | 75 |
| Article Number | 102402 |
| Number of Pages | 16 |
| Year | 2023 |
| Publisher | Elsevier |
| Place of Publication | United Kingdom |
| ISSN | 0160-791X |
| 1879-3274 | |
| Digital Object Identifier (DOI) | https://doi.org/https://doi.org/10.1016/j.techsoc.2023.102402 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0160791X23002075 |
| Abstract | This study has several objectives. Firstly, the authors adopt a scoping review of extant research to identify common emerging themes in the ChatGPT model. Secondly, the manuscript explores the emerging innovation and knowledge management challenges by problematizing gaps that need to be explored. This study setting comprises a comprehensive scoping review and analysis of the ChatGPT and related literature. Based on a substantive content analysis of 652 articles between the years 2018 and 2023, four themes emerged from the literature that present gaps to be explored in future research. The technology acceptance model (TAM) grounds the theoretical framework to explore the emerging themes and potential user satisfaction criteria. In addition, this is the first study to broaden the TAM innovation literature by applying knowledge generation criteria to assess the extent to which ChatGPT would satisfy expected user sensemaking represented by know-that, know-how, know-why, and care-why knowledge. Two research questions assessed the findings against TAM and knowledge generation criteria. Based on the emerging gaps identified, the review found that by applying TAM, user satisfaction is not expected to be high especially when applied in educational settings given specific learner needs in complex learning situations. While aspects of user knowledge is expected to increase exponentially, the quality of the information generated by ChatGPT is not expected to result in high user know-why knowledge and complex system understanding. At a time when generative AI models are challenging traditional scientific means of delivering education pedagogy in driving student and user learning, this study has important implications for the future of the ChatGPT model application within educational and broader settings. |
| Keywords | ChatGPT ; Artificial intelligence ; Strategies; Challenges ; Education sector |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 3599. Other commerce, management, tourism and services |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Abdullah Al Salem University, Kuwait |
| University of Southern Queensland | |
| American University of the Middle East, Kuwait | |
| Kuwait University, Kuwait |
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https://research.usq.edu.au/item/z2z9z/the-knowledge-and-innovation-challenges-of-chatgpt-a-scoping-review
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