Author
Listed:
- Dalia Susnienė
- Ojaras Purvinis
- Daiva Zostautiene
- Laszlo T. Koczy
Abstract
Globalization and its challenges for organizations led to the understanding that employees can be a critical factor contributing to the organization’s performance. Therefore, various studies sought to understand employee’s behaviour that in itself encompasses various forms of engagement. One of the constructs defining engagement is citizenship behaviour (OCB) and counterproductive work behaviour (CWB). Based on previous researches, the study aims to contribute to the knowledge on the correlation between OCB and CWB considered as a behavioural engagement, from one side, and interplay of these constructs with the related constructs such as a trait engagement, perception of organization, state engagement, from another side. Since the empirical studies typically tend to concentrate on one or several factors separately, it is difficult to get a better understanding of relationship of all forms of engagement in corpore. To address this gap, we create a complex model of investigation developed to describe the linkage of the factors - OCB, CWB and related constructs under one umbrella and, by employing a combined statistical and Fuzzy Signature (FSig) model, we investigated the link with behavioural engagement. The present study covered one region of the northern part of Lithuania. It is based on 144 completed questionnaires from 35 companies. Findings support the assumption of the relationships of behavioural engagement (i.e. OCB and CWB) and the remaining multifaceted factors, and make a step forward by offering a new model for investigation the multifaceted phenomenon of employee engagement.
Suggested Citation
Dalia Susnienė & Ojaras Purvinis & Daiva Zostautiene & Laszlo T. Koczy, 2021.
"Modelling OCB and CWB by combined Fuzzy Signature model,"
Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 34(1), pages 1546-1565, January.
Handle:
RePEc:taf:reroxx:v:34:y:2021:i:1:p:1546-1565
DOI: 10.1080/1331677X.2020.1844581
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