A conceptual model for the process of IT innovation adoption in organizations
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?
IT innovation adoption rarely refers to one single point in time but is a process.
“IT innovation adoption rarely refers to one single point in time but is a process (Hameed, Counsell, and Swift 2012).”
From Exploring artificial intelligence adoption in public organizations: a comparative case study (2024) · cites this paper as Hameed, Counsell, and Swift 2012
Introducing a time dimension to measure the degree of innovation adoption is necessary to assess whether an innovation can be integrated into daily practice.
“Therefore, introducing a time dimen sion to measure the degree of innovation adoption is necessary to assess whether an innovation can be integrated into daily practice (Hameed, Counsell, and Swift 2012).”
From Exploring artificial intelligence adoption in public organizations: a comparative case study (2024) · cites this paper as Hameed, Counsell, and Swift 2012
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970 · see citing works
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · see citing works
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · see citing works
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921 · see citing works
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575 · see citing works
An Integrated Model of Information Systems Adoption in Small Businesses
Thong, J. Y. L. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518227 · Cited by 1,727 · see citing works
Zhu, K., Kraemer, K. L., & Xu, S. (2006) · Management Science · doi:10.1287/mnsc.1050.0487 · Cited by 1,440 · see citing works
Information technology acceptance by individual professionals: a model comparison approach
Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409 · see citing works
Factors Affecting the Adoption of Open Systems: An Exploratory Study1
Chau, P. Y. K., & Tam, K. Y. (1997) · MIS Quarterly · doi:10.2307/249740 · Cited by 1,067 · see citing works
An Empirically Derived Model for the Adoption of Customer‐based Interorganizational Systems*
Grover, V. (1993) · Decision Sciences · doi:10.1111/j.1540-5915.1993.tb01295.x · Cited by 757 · see citing works
Adopters and non-adopters of e-procurement in Singapore: An empirical study
Teo, T. S. H., Lin, S., & Lai, K.-H. (2009) · Omega · doi:10.1016/j.omega.2008.11.001 · Cited by 397 · see citing works
Organizational context, climate and innovativeness: adoption of imaging technology
Nystrom, P. C., Ramamurthy, K., & Wilson, A. L. (2002) · Journal of Engineering and Technology Management · doi:10.1016/s0923-4748(02)00019-x · Cited by 263 · see citing works
Exploring the public sector adoption of HRIS
Troshani, I., Jerram, C., & Rao Hill, S. (2011) · Industrial Management & Data Systems · doi:10.1108/02635571111118314 · Cited by 236 · see citing works
The adoption and diffusion of human resources information systems in Singapore
Teo, T. S. H., Lim, G. S., & Fedric, S. A. (2007) · Asia Pacific Journal of Human Resources · doi:10.1177/1038411107075402 · Cited by 153 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A review of technology acceptance and adoption models and theories
Taherdoost, H. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.03.137 · Cited by 1,162 · see citing works
Ready or not, AI comes—an interview study of organizational AI readiness factors
Jöhnk, J., Weißert, M., & Wyrtki, K. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00676-7 · Cited by 637 · see citing works
Exploring artificial intelligence adoption in public organizations: a comparative case study
Neumann, O., Guirguis, K., & Steiner, R. (2024) · Public Management Review · doi:10.1080/14719037.2022.2048685 · Cited by 451 · see citing works
“The ultimate purpose of adopting innovations is often to increase organizational performance (Hameed, Counsell, and Swift 2012), but in public contexts, it is also about creating societal value (Ulnicane et al. 2021), making processes more efficient and better tailored to citizen needs (Newman,…”
BackgroundInfluentialOrganizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe
Hradecky, D., Kennell, J., Cai, W., & Davidson, R. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102497 · Cited by 203 · see citing works
Psychological factors influencing technology adoption: A case study from the oil and gas industry
Roberts, R., Flin, R., Millar, D., & Corradi, L. (2021) · Technovation · doi:10.1016/j.technovation.2020.102219 · Cited by 121 · see citing works
The Impact of Perceived Risk on Consumers’ Cross-Platform Buying Behavior
Zhang, X., & Yu, X. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.592246 · Cited by 103 · see citing works
Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alturki, U., Alamri, M., Bin Saud, M. S., Kamin, Y. B., Aljeraiwi, A. A., & Alhamed, O. A. (2019) · IEEE Access · doi:10.1109/access.2019.2906668 · Cited by 96 · see citing works
The effects of e-Government cloud assimilation on public value creation: An empirical study of China
Liang, Y., Qi, G., Zhang, X., & Li, G. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.101397 · Cited by 65 · see citing works
Truth or dare?–how can we influence the adoption of artificial intelligence in municipalities?
Schaefer, C., Lemmer, K., Samy Kret, K., Ylinen, M., Mikalef, P., & Niehaves, B. (2021) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.286 · Cited by 63 · see citing works
Llewellyn, S., Procter, R., Harvey, G., Maniatopoulos, G., & Boyd, A. (2014) · Health Services and Delivery Research · doi:10.3310/hsdr02230 · Cited by 43 · see citing works
- Authors
- Hameed, M. A., Counsell, S., & Swift, S.
- Affiliations
- Brunel University of London (GB)
- Corresponding author
- Hameed, Mumtaz Abdul
- Venue
- Journal of Engineering and Technology Management
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 29
- Issue
- 3
- Pages
- 358-390
- ISSN
- 0923-4748 (ISSN-L)
- OpenAlex
- W2084483623
- Cited by
- 442
- References
- 19
- Citations by year
- 2026: 27 · 2025: 17 · 2024: 30 · 2023: 31 · 2022: 48 · 2021: 50 · 2020: 50 · 2019: 33 · 2018: 33 · 2017: 28 · 2016: 21 · 2015: 35 · 2014: 21 · 2013: 15 · 2012: 2
- FWCI
- 47.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Engineering and Technology Management (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- technology adoption in organizations, conceptual model, diffusion of innovations, theory of reasoned action, technology acceptance model, theory of planned behavior, user acceptance, adoption stages, technology acquisition
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