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The perceptional triangle of incivility, politics, and democracy: The role of supportiveness

Published online by Cambridge University Press:  01 March 2023

Kaleem Ahmed*
Affiliation:
Management Sciences, The University of Lahore—Gujrat Campus, Lahore Business School, Gujrat 50700, Pakistan
Alia Ahmed
Affiliation:
National College of Business Administration and Economics, Lahore, Pakistan
Shahzada Adeel
Affiliation:
Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, Aveiro 3810-193, Portugal The University of Chenab, Gujrat, Pakistan
*
*Corresponding author: Kaleem Ahmed, Email: kaleem.ahmed@live.com
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Abstract

Bringing democracy to the workplace has gained researchers’ attention during the last few years. In addition to its proorganizational outcomes, democratization at the workplace also helps to eradicate organizational negativities. The present study investigates these claims by empirically examining the relationship between organizational democracy, perception of politics, and workplace incivility. A sample of 300 full-time employees working in fifteen different banks in the district of Gujrat Pakistan was obtained. The structural equation modeling technique was used to test the proposed hypotheses. The results indicated that workplace democracy is negatively associated with the perception of organizational politics and workplace incivility. Nevertheless, when there is organizational democracy with a supportive environment, it further reduces its incivility and politics. The study provides empirical evidence to managers and organizational decision makers in developing democratic workplaces to promote participative culture and eradicate organizational negativities. More studies on democratic practices with different contexts and factors are discussed and proposed for future studies.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of V.K. Aggarwal
Figure 0

Figure 1. Conceptual framework.

Figure 1

Table 1. Correlation matrix.

Figure 2

Table 2. Model fit indices.

Figure 3

Table 3. Hypotheses confirmation.

Figure 4

Table 4. Indirect effect.