Paving the way for technological innovation through adoption of artificial intelligence in conservative industries
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The perceived economic value of streamlining complex processes is a key determinant of successful AI adoption in conservative industries.
“In addition, the perceived economic value of streamlining complex processes (e.g., the cost-performance trade-off) is a key determinant of successful AI adoption in conservative industries (Khan et al., 2023).”
From Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of <scp>AI</scp> applications (2025) · cites this paper as Khan et al., 2023
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611 · see citing works
Developing and validating a service robot integration willingness scale
Lu, L., Cai, R., & Gursoy, D. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.01.005 · Cited by 1,013 · see citing works
Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2022) · Psychology & Marketing · doi:10.1002/mar.21619 · Cited by 631 · see citing works
Online learning adoption: effects of neuroticism, openness to experience, and perceived values
Watjatrakul, B. (2016) · Interactive Technology and Smart Education · doi:10.1108/itse-06-2016-0017 · Cited by 78 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Gama, F., & Magistretti, S. (2025) · Journal of Product Innovation Management · doi:10.1111/jpim.12698 · Cited by 388 · see citing works
AI and sustainable business model innovation: A systematic literature review
Sharma, A., Khokhar, M., Duan, Y., Bibi, M., Sharma, R., & Muhammad, B. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101204 · Cited by 19 · see citing works
- Authors
- Khan, A. N., Jabeen, F., Mehmood, K., Ali Soomro, M., & Bresciani, S.
- Affiliations
- Hubei Engineering University (CN)
- Abu Dhabi University (AE)
- University of Turin (IT)
- Corresponding author
- Mehmood, Khalid
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2023-10
- Volume
- 165
- Pages
- 114019
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4377263897
- Cited by
- 98
- References
- 5
- Citations by year
- 2026: 21 · 2025: 39 · 2024: 28 · 2023: 10
- FWCI
- 25.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- Funders
- National Natural Science Foundation of China (71672053, 71672108)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence adoption, technological innovation, AI adoption framework, functional value, conditional value, service reliability, price value, performance expectancy, construction industry, oil and gas industry, Industry 4.0
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
