Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 2,102

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Are Individual Differences Germane to the Acceptance of New Information Technologies?

Agarwal, Ritu, Prasad, Jayesh·1999·Decision Sciences
DOI 10.1111/j.1540-5915.1999.tb01614.x
Open this paper in CoChat — free account

Abstract

Persuading users to adopt new information technologies persists as an important problem confronting those responsible for implementing new information systems. In order to better understand and manage the process of new technology adoption, several theoretical models have been proposed, of which the technology acceptance model (TAM) has gained considerable support. Beliefs and attitudes represent significant constructs in TAM. A parallel research stream suggests that individual difference factors are important in information technology acceptance but does not explicate the process by which acceptance is influenced. The objective of this paper is to clarify this process by proposing a theoretical model wherein the relationship between individual differences and IT acceptance is hypothesized to be mediated by the constructs of the technology acceptance model. In essence then, these factors are viewed as influencing an individual's beliefs about an information technology innovation; this relationship is further supported by drawing upon extensive research in learning. The theoretical model was tested in an empirical study of 230 users of an information technology innovation. Results confirm the basic structure of the model, including the mediating role of beliefs. Results also identify several individual difference variables that have significant effects on TAM's beliefs. Theoretical contributions and practical implications that follow are discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1540-5915.1999.tb01614.x

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 61

  1. 10.2307/249577 · DOI · Paper page
  2. 10.1037/019251 · DOI
  3. 10.2307/249703 · DOI · Paper page
  4. Bandura A., 1977, Social learning theory
  5. 10.2307/248940 · DOI
  6. 10.1111/j.1540-5915.1984.tb01197.x · DOI
  7. 10.1002/9781118619179 · DOI · Paper page
  8. 10.2307/249313 · DOI · Paper page
  9. Bower G. H., 1981, Theories of learning
  10. Browne M. W., 1993, Testing structural equation models, 136
  11. Burns T., 1961, The management of innovation
  12. 10.1287/isre.6.2.118 · DOI · Paper page
  13. Cronbach L. J., 1977, Aptitudes and instructional methods: A handbook for research on interactions
  14. 10.1006/imms.1993.1022 · DOI · Paper page
  15. 10.1287/mnsc.35.8.982 · DOI · Paper page
  16. 10.1080/07421222.1990.11517891 · DOI
  17. 10.2307/249510 · DOI
  18. DeSanctis G.(1982).An examination of an expectancy theory model of decision support system use. Proceedings of the Third International Conference on Information Systems Ann Arbor MI 121–135.
  19. 10.1037/h0058371 · DOI · Paper page
  20. Fishbein M., 1967, Readings in attitude theory and measurement, 389
  21. Fishbein M., 1975, Belief, attitude, intention and behavior: An introduction to theory and research
  22. Fuerst W. L., 1986, Factors affecting the perceived utilization of computer‐based decision support systems, Decision Sciences, 17, 329
  23. 10.1177/014920639201800307 · DOI
  24. 10.1016/B978-0-12-188950-0.50008-4 · DOI · Paper page
  25. 10.1080/07421222.1992.11517949 · DOI · Paper page
  26. Hoyle R., 1995, Structural equation modeling: Concepts, issues, and applications, 158
  27. 10.1287/mnsc.29.5.567 · DOI · Paper page
  28. 10.1080/07421222.1995.11518061 · DOI · Paper page
  29. 10.1177/014920638901500302 · DOI
  30. 10.1111/j.1540-5915.1997.tb01315.x · DOI · Paper page
  31. Jöreskog K. G., 1993, LISREL 8, User's reference guide
  32. Kerr E. B., 1988, Computer mediated communication systems: Status report
  33. Kwon T. H., 1987, Critical issues in information systems research, 88
  34. 10.2190/VEPG-500C-2AWM-1K15 · DOI
  35. 10.1287/mnsc.25.8.787 · DOI
  36. 10.1111/j.2044-8325.1988.tb00271.x · DOI
  37. 10.1145/255950.153574 · DOI
  38. McGeoch J. A., 1952, The psychology of human learning
  39. 10.1037/0033-2909.105.3.430 · DOI
  40. 10.2307/249311 · DOI
  41. 10.1016/0747-5632(86)90010-5 · DOI · Paper page
  42. Nunnally J. C., 1978, Psychometric theory
  43. 10.2307/249522 · DOI
  44. Pavlov I. P., 1941, Conditioned reflexes and psychiatry
  45. Pedhazur E. J., 1982, Multiple regression in behavioral research: Explanation and prediction
  46. 10.1145/29933.30856 · DOI
  47. Rogers E. M., 1995, Diffusion of innovations
  48. 10.2307/249275 · DOI · Paper page
  49. 10.1080/10447319009525970 · DOI
  50. Sein M. K., 1987, Training end‐users to compute: Cognitive, motivational and social issues, INFOR, 25, 236
  51. Skinner B. F., 1969, Contingencies of reinforcement: A theoretical analysis
  52. Soloway E., 1988, The nature of expertise
  53. 10.1037/h0042782 · DOI · Paper page
  54. 10.1177/0049124189018002003 · DOI · Paper page
  55. 10.1080/07421222.1994.11518035 · DOI · Paper page
  56. Triandis H. C., 1980, Nebraska Symposium on Motivation, 1979: Beliefs, Attitudes and Values, 195
  57. 10.1111/j.1540-5915.1996.tb00860.x · DOI
  58. West S. G., 1995, Structural equation modeling: Concepts, issues, and applications, 57
  59. 10.2307/3151510 · DOI
  60. 10.1287/mnsc.25.10.966 · DOI · Paper page
  61. 10.1287/mnsc.28.12.1421 · DOI · Paper page

Cited by

See all 2,102

Metadata

Authors
Agarwal, R., & Prasad, J.
Venue
Decision Sciences
Publisher
Wiley
Published
1999-03
Volume
30
Issue
2
Pages
361-391
ISSN
  • 0011-7315 (ISSN-L)
  • 1540-5915
DOI
10.1111/j.1540-5915.1999.tb01614.x
OpenAlex
W1974108202
Cited by
2,102
References
13
FWCI
59.36
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 3020 d)

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

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.