The DOI matches its Crossref record.
Performance and the Use of an Information System
Abstract
The purpose of this paper is to explore the contributions of information systems to the organization. A descriptive model is presented which identifies (1) expected predictors of performance and the use of an information system and (2) the relationship between the use of a system and performance. The results of a study of sales force performance and the use of a sales information system are presented to provide empirical evidence to support the model. The results confirm the general relationships among classes of variables in the model, but specific relations among variables are complex and depend heavily on the environment of the organization.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
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
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
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814
Leonardi, P. M., & Barley, S. R. (2010) · Academy of Management Annals · doi:10.5465/19416521003654160 · Cited by 733
Determinants of success for computer usage in small business
DeLone, W. H. (1988) · MIS Quarterly · doi:10.2307/248803 · Cited by 703
Technology use and performance: A field study of broker workstations
Lucas, H. C., & Spitler, V. K. (1999) · Decision Sciences · doi:10.1111/j.1540-5915.1999.tb01611.x · Cited by 561
Self-citationAl-Gahtani, S. S., & King, M. (1999) · Behaviour & Information Technology · doi:10.1080/014492999119020 · Cited by 519
An Assessment of the Contingency Theory of Management Information Systems
Weill, P., & Olson, M. H. (1989) · Journal of Management Information Systems · doi:10.1080/07421222.1989.11517849 · Cited by 351
Developing a multidimensional measure of system-use in an organizational context
Doll, W. J., & Torkzadeh, G. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00028-7 · Cited by 334
E. Koh, C., R. Prybutok, V., D. Ryan, S., & Andy" Wu, Y. (2010) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/1326 · Cited by 120
PARE, G., & ELAM, J. J. (1995) · Behaviour & Information Technology · doi:10.1080/01449299508914635 · Cited by 84
A Review on Risk Management in Information Systems: Risk Policy, Control and Fraud Detection
Taherdoost, H. (2021) · Electronics · doi:10.3390/electronics10243065 · Cited by 66
Metadata
- Authors
- Lucas, H. C.
- Venue
- Management Science
- Published
- 1975-04
- Volume
- 21
- Issue
- 8
- Pages
- 908-919
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2115498674
- Cited by
- 337
- References
- 0
- FWCI
- 9.85
- Type
- journal article
- Language
- en
- Open access
- closed
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.
