The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.
A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology
Abstract
The acceptance of new information technologies by their intended users persists as an important issue for researchers and practitioners of information systems. Several models have been developed in the literature to facilitate understanding of the process by which new information technologies are adopted. This paper proposes a new construct that further illuminates the relationships explicit in the technology acceptance models and describes an operational measure for this construct that possesses desirable psychometric properties. The construct, personal innovativeness in the domain of information technology, is hypothesized to exhibit moderating effects on the antecedents as well as the consequences of individual perceptions about a new information technology. The construct was developed and validated in the context of the innovation represented by the World-Wide Web. Implications for theory and practice are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
In the citing paper
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
In the citing paper
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
In the citing paper
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
In the citing paper
“the extensive focus of TAM on technology to the neglect of social and psychological parameters (Agarwal & Prasad, 1998;Venkatesh & Bala, 2008) limits its explanatory and predictive utilities, and therefore demands its integration with other frameworks”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Agarwal & Prasad, 1998
In the citing paper
“Personal innovativeness (PI) has been acknowledged as important factor that impact technology adoption and usage (Agarwal & Prasad, 1998).”
From Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology (2024) · cites this paper as Agarwal & Prasad, 1998
Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
(1980) · Medical Entomology and Zoology · Cited by 25,810
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,944
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2072165 · Cited by 17,475
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Testing Structural Equation Models.
Mueller, C. W., Bollen, K. A., & Long, J. S. (1994) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2074955 · Cited by 14,211
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,486
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Flagged first, then by citations
1 of the 34 references couldn’t be matched to a known paper.
Research works printed but not linked: 9
- Brancheau J. C., 1990, Inform. Systems Res., 1, 41
- Carroll J., 1996, Comput. Canada, 22, 33
- Delmonico D., 1996, Comm. Week, 592, 46
- Jackson D. N. A., 1976, Jackson Personality Inventory Manual
- Joreskog K. G., 1993, Lisrel 8, User's Reference Guide
- Nunnally J. C., 1978, Psychometric Theory
- Rogers E. M., 1971, Communication of Innovations
- Rogers E. M., 1983, Diffusion of Innovations
- Wexler J., 1993, Computerworld, 27, 71
Cited by
Sorted by citations
Items 1,001–1,007 of 1,007
The use of technology‐mediated interviews and their perception from the organization's point of view
Basch, J. M., & Melchers, K. G. (2021) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12339 · Cited by 30
Factors Influencing Behavioural Intention to Adopt the QR-Code Payment: Extending UTAUT2 Model
Suo, W.-J., Goi, C.-L., Goi, M.-T., & Sim, A. K. S. (2021) · International Journal of Asian Business and Information Management · doi:10.4018/ijabim.20220701.oa8 · Cited by 41
Hong, I. B. (2018) · Sustainability · doi:10.3390/su10082856 · Cited by 25
Domain-specific innovativeness: A meta-analysis in business and consumer
Araujo, C. F., Ladeira, W. J., Santini, F. D. O., & Sampaio, C. H. (2016) · RAI revista de administração e inovação · doi:10.1016/j.rai.2016.03.003 · Cited by 22
Arroyo-Machado, W., Ma, J., Chen, T., Johnson, T. P., Islam, S., Michalegko, L., & Welch, E. (2025) · PLOS One · doi:10.1371/journal.pone.0330416 · Cited by 15
An Empirical Study of User Acceptance Behaviours of Internet Banking in Tunisia Using UTAUT2 Model
Nasri, W. (2021) · International Journal of Innovation in the Digital Economy · doi:10.4018/ijide.2021100102 · Cited by 4
Casermeiro-Corpas, Y., Rejón-Guardia, F., Vallespín, M., & Molinillo, S. (2027) · Information Processing & Management · doi:10.1016/j.ipm.2026.105211
Metadata
- Authors
- Agarwal, R., & Prasad, J.
- Affiliations
- Florida State University (US)
- University of Dayton (US)
- ORCID
- Agarwal, Ritu
- Venue
- Information Systems Research
- Published
- 1998-06
- Volume
- 9
- Issue
- 2
- Pages
- 204-215
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2162061662
- Cited by
- 3,575
- References
- 34
- Citations by year
- 2026: 213 · 2025: 256 · 2024: 262 · 2023: 231 · 2022: 234 · 2021: 233 · 2020: 206 · 2019: 146 · 2018: 173 · 2017: 128 · 2016: 143 · 2015: 178 · 2014: 165 · 2013: 161 · 2012: 149
- FWCI
- 29.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Research (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 › Gender Studies › Gender and Technology in Education
- Keywords
- personal innovativeness, information technology adoption, technology acceptance model, moderating effect, operational measurement, psychometric validation, World Wide Web, user perception, construct definition
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
