The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Factors Affecting Information Satisfaction in the Context of the Small Business Environment
Abstract
This study reports an empirical investigation of some of the relationships that exist between organizational characteristics and end-user satisfaction associated with computer-based information systems (CBIS) in small businesses. Eight hypotheses were tested using data collected in a two-phase study of 83 small firms. The major findings show that end-user satisfaction is correlated with the number of systems analysts present within a firm, with the degree of analysis of information requirements, with the level of participation, and with end users’ level of computer literacy. In addition, it was found that decentralization of the decision-making process tends to create a need for more effective CBIS. As a result, end-user satisfaction was found to be higher in firms that were less centralized. Furthermore, there was a strong correlation between the end users and data processing personnel’s satisfaction with the CBIS environment.
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
Cites
The correlates of entrepreneurship in three types of firms
Miller, D. (1983) · Management Science · doi:10.1287/mnsc.29.7.770 · Cited by 5,853
Differentiation and Integration in Complex Organizations
Lawrence, P. R., & Lorsch, J. W. (1967) · Administrative Science Quarterly · doi:10.2307/2391211 · Cited by 3,937
Cited by
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
Kuan, K. K. Y., & Chau, P. Y. K. (2001) · Information & Management · doi:10.1016/s0378-7206(01)00073-8 · Cited by 1,335
A Meta-Analysis of Research on Information Technology Implementation in Small Business
Premkumar, G. (2003) · Journal of Organizational Computing and Electronic Commerce · doi:10.1207/s15327744joce1302_2 · Cited by 444
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
Metadata
- Authors
- Montazemi, A. R.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1988-06-01
- Volume
- 12
- Issue
- 2
- Pages
- 239-256
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1587080007
- Cited by
- 285
- References
- 2
- FWCI
- 13.87
- 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.