The DOI matches its Crossref record.
A Program for Research on Management Information Systems
Abstract
An information system consists of, at least, a PERSON of a certain PSYCHOLOGICAL TYPE who faces a PROBLEM within some ORGANIZATIONAL CONTEXT for which he needs EVIDENCE to arrive at a solution, where the evidence is made available through some MODE OF PRESENTATION. This defines the key variables comprising a Management Information System (MIS). It is argued that most research and development to date on MIS has assumed only one underlying psychological type, one class of problem types, one or two methods of generating evidence, and, finally, one mode of presentation. Other states are suggested for all these key variables. The result is the outline of a systematic research program on MIS.
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
Survey research methodology in management information systems: an assessment
Pinsonneault, A., & Kraemer, K. (1993) · Journal of Management Information Systems · doi:10.1080/07421222.1993.11518001 · Cited by 1,288
Cognitive Fit: An Empirical Study of Information Acquisition
Vessey, I., & Galletta, D. (1991) · Information Systems Research · doi:10.1287/isre.2.1.63 · Cited by 705
Management Information Systems: Appreciation and Involvement
Swanson, E. B. (1974) · Management Science · doi:10.1287/mnsc.21.2.178 · Cited by 529
Paul, D. L., & McDaniel, R. R. (2004) · MIS Quarterly · doi:10.2307/25148633 · Cited by 385
Some Guidelines for the Critical Reviewing of Conceptual Papers
Louisiana State University, U., & Hirschheim, R. (2008) · Journal of the Association for Information Systems · doi:10.17705/1jais.00167 · Cited by 163
Adaptive user interfaces and universal usability through plasticity of user interface design
Miraz, M. H., Ali, M., & Excell, P. S. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100363 · Cited by 158
Cognitive and Personality Tests for the Design of Management Information Systems
Bariff, M. L., & Lusk, E. J. (1977) · Management Science · doi:10.1287/mnsc.23.8.820 · Cited by 156
Person-Job Cognitive Style Fit for Software Developers: The Effect on Strain and Performance
CHILTON, M. A., HARDGRAVE, B. C., & ARMSTRONG, D. J. (2005) · Journal of Management Information Systems · doi:10.1080/07421222.2005.11045849 · Cited by 138
Computer-mediated knowledge sharing and individual user differences: an exploratory study
Taylor, W. A. (2004) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000484 · Cited by 134
An experimental evaluation of the impact of data display format on recall performance
Schmell, R. W., & Umanath, N. S. (1988) · Communications of the ACM · doi:10.1145/42411.42419 · Cited by 50
Value and Events Approaches to Accounting: An Experimental Evaluation.
Benbasat, I., & Dexter, A. S. (1979) · The Accounting Review · doi:10.2308/tar-4489006 · Cited by 48
A Review of the Myers-Briggs Type Indicator in Public Affairs Education
Sample, J. (2017) · Journal of Public Affairs Education · doi:10.1080/15236803.2017.12002300 · Cited by 16
Exemplary Works on Information Systems Research
Whitman, M. E., & Woszczynski, A. B. (2011) · The Handbook of Information Systems Research · doi:10.4018/978-1-59140-144-5.ch001 · Cited by 1
Metadata
- Authors
- Mason, R. O., & Mitroff, I. I.
- Venue
- Management Science
- Published
- 1973-01
- Volume
- 19
- Issue
- 5
- Pages
- 475-487
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2040989939
- Cited by
- 833
- References
- 0
- FWCI
- 26.09
- 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.
