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Job satisfaction and organizational commitment: An empirical investigation among ICT-SMEs
Abstract
Purpose: The aim of this study is to examine the structural relationship between Spector’s nine job satisfaction facets (supervision, nature of the work, communication, contingent rewards, co-worker, fringe benefits, payment, promotion and operating procedures), organizational commitment facets (normative commitment, affective commitment and continuance commitment) and the influence of employees’ years of experience on satisfaction and commitment relationships. Owing to the nature of the industry, employee satisfaction, retention and commitment in Information and Communications Technology-Small and Medium-sized Enterprise (ICT-SME) is a matter of great concern. Design/methodology/approach: A total of 256 valid questionnaires were collected among employees of Information and Communications Technology-Small and Medium-sized Enterprises (ICT-SMEs) to evaluate the measurement and structural model using partial least squares path modelling approach. Findings: The findings indicate that payment, promotion, fringe benefits, co-worker, communication, operating procedures and nature of the work are positively associated with affective commitment. Furthermore, payment, promotion, fringe benefits, supervision, contingent rewards, operating procedures and nature of the work have a positive relationship with normative commitment. Considering employees’ years of experience as a categorical moderating variable, the results of partial least squares multi-group analysis show how the discrepancies between employees’ years of experience influence their level of commitment. Originality/value: This study reveals that employees’ affective and normative commitments are positively associated and their continuance commitment is contingent upon their affective commitment, and not normative commitment. There are only three factors, i.e. promotion, fringe benefits and operating procedures, that are conductive to employees’ continuance commitment. Contributions, implications and limitations of the study are discussed.
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Zarifis, A., Kawalek, P., & Azadegan, A. (2021) · Journal of Internet Commerce · doi:10.1080/15332861.2020.1832817 · Cited by 89
Metadata
- Authors
- Valaei, N., & Rezaei, S.
- Venue
- Management Research Review
- Publisher
- Emerald
- Published
- 2016-12-12
- Volume
- 39
- Issue
- 12
- Pages
- 1663-1694
- ISSN
- 2040-8269 (ISSN-L)
- OpenAlex
- W2557960749
- Cited by
- 659
- References
- 118
- FWCI
- 107.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.emerald.com/insight/site-policies (tdm)
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 ›
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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.