The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Work Experiences, Job Involvement, and Quality of Work Life Among Information Systems Personnel
Abstract
This study assesses the job involvement of 464 professionals and managers in the information systems (IS) field and investigates the role of involvement in influencing the quality of work life. Results show significant variation in the level of job involvement displayed by IS employees and differential patterns of relationships among the study variables for IS personnel with low, moderate, and high levels of job involvement. The findings indicate that involvement serves as a complex moderator role in the pattern of relationships of work experiences, and of job characteristics with career expectations and career outcomes. It has both linear and non-linear relationships with several of the study variables. While in some cases, high levels of job involvement tend to enhance the beneficial effects of work experiences on the quality of work life, in others such involvement tends to heighten the negative effects of role stressors. Implications of the findings and directions for future research 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.
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
Measurement of job and work involvement
Kanungo, R. N. (1982) · Journal of Applied Psychology · doi:10.1037/0021-9010.67.3.341 · Cited by 1,718
Cited by
PREDICTORS OF OBJECTIVE AND SUBJECTIVE CAREER SUCCESS: A META‐ANALYSIS
NG, T. W. H., EBY, L. T., SORENSEN, K. L., & FELDMAN, D. C. (2005) · Personnel Psychology · doi:10.1111/j.1744-6570.2005.00515.x · Cited by 2,412
In Pursuit of Moderation: Nine Common Errors and Their Solutions1
Carte, T. A., & Russell, C. J. (2003) · MIS Quarterly · doi:10.2307/30036541 · Cited by 565
Morris, M. G., & Venkatesh, V. (2010) · MIS Quarterly · doi:10.2307/20721418 · Cited by 437
Senior citizens’ acceptance of information systems: A study in the context of e-government services
Phang, C. W., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C. Y., & Teo, H.-H. (2006) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2006.883710 · Cited by 331
Hurst, J. L., & Good, L. K. (2009) · Career Development International · doi:10.1108/13620430910997303 · Cited by 140
Metadata
- Authors
- Igbaria, M., Parasuraman, S., & Badawy, M. K.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1994-06-01
- Volume
- 18
- Issue
- 2
- Pages
- 175-201
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1558680053
- Cited by
- 285
- References
- 1
- FWCI
- 5.37
- 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.