The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Artificial intelligence and corporate innovation: A review and research agenda
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1 retracted
Bai, X., & Li, J. (2020) · Knowledge Management Research & Practice · doi:10.1080/14778238.2020.1834886 · Cited by 26
RetractedI.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
Kaplan, A., & Haenlein, M. (2019) · Business Horizons · doi:10.1016/j.bushor.2018.08.004 · Cited by 3,140
Haenlein, M., & Kaplan, A. (2019) · California Management Review · doi:10.1177/0008125619864925 · Cited by 2,655
Smart tourism: foundations and developments
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015) · Electronic Markets · doi:10.1007/s12525-015-0196-8 · Cited by 2,589
Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020) · Business Process Management Journal · doi:10.1108/bpmj-10-2019-0411 · Cited by 1,280
Artificial Intelligence in Supply Chain Management: A Systematic Literature Review
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.009 · Cited by 1,020
Eggers, J. P., & Kaplan, S. (2009) · Organization Science · doi:10.1287/orsc.1080.0401 · Cited by 774
Future Progress in Artificial Intelligence: A Survey of Expert Opinion
Müller, V. C., & Bostrom, N. (2016) · Synthese Library · doi:10.1007/978-3-319-26485-1_33 · Cited by 655
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.05.009 · Cited by 584
Cited by
Kumar, A., Shankar, A., Behl, A., Chakraborty, D., & Gundala, R. R. (2025) · Journal of Consumer Marketing · doi:10.1108/jcm-06-2024-6922 · Cited by 66
AI, robots and innovation in European SMEs
Segarra-Blasco, A., Tomàs-Porres, J., & Teruel, M. (2025) · Small Business Economics · doi:10.1007/s11187-025-01017-2 · Cited by 49
Virtual Tutor, Digital Natives and AI: Analyzing the impact of ChatGPT on academia in Indonesia
Margono, H., Saud, M., & Falahat, M. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101069 · Cited by 26
Metadata
- Authors
- Bahoo, S., Cucculelli, M., & Qamar, D.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 188
- Pages
- 122264
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4312220284
- Cited by
- 362
- References
- 14
- FWCI
- 20.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.