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Generation Z software employees turnover intention
This study applied the social exchange and social identity theories to investigate the association among resonant leadership, self-efficacy, organizational identification, work performance, and turnover intentions in Generation-Z (Gen-Z) software professionals. The study sampled 73 leader-subordinat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584236/ https://www.ncbi.nlm.nih.gov/pubmed/36285291 http://dx.doi.org/10.1007/s12144-022-03847-9 |
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author | Gaan, Niharika Shin, Yuhyung |
author_facet | Gaan, Niharika Shin, Yuhyung |
author_sort | Gaan, Niharika |
collection | PubMed |
description | This study applied the social exchange and social identity theories to investigate the association among resonant leadership, self-efficacy, organizational identification, work performance, and turnover intentions in Generation-Z (Gen-Z) software professionals. The study sampled 73 leader-subordinate dyads from 10 large-scale software companies in India through an online survey. Hierarchical linear modeling, including multilevel mediation, was conducted to test the proposed model. The results of this study revealed the cross-level effect of resonant leadership on the work-related outcomes among the Gen-Z software operators based on two psychological mediators, namely, self-efficacy and organizational identification. It suggests that resonant leadership could be the potential driver to manage the predominant psychological factors of the incoming cohort group of Gen-Z software professionals, which yield positive work outcomes. Based on the empirical evidence, the software companies can devise suitable intervention mechanisms to enhance productivity and reduce turnover intentions of the Gen-Z cohort. Thus, this study is a novel attempt to establish a comprehensive theoretical framework that provides a broad scope for future research to investigate the mechanisms which manage the expectations of Gen-Z cohorts. |
format | Online Article Text |
id | pubmed-9584236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-95842362022-10-21 Generation Z software employees turnover intention Gaan, Niharika Shin, Yuhyung Curr Psychol Article This study applied the social exchange and social identity theories to investigate the association among resonant leadership, self-efficacy, organizational identification, work performance, and turnover intentions in Generation-Z (Gen-Z) software professionals. The study sampled 73 leader-subordinate dyads from 10 large-scale software companies in India through an online survey. Hierarchical linear modeling, including multilevel mediation, was conducted to test the proposed model. The results of this study revealed the cross-level effect of resonant leadership on the work-related outcomes among the Gen-Z software operators based on two psychological mediators, namely, self-efficacy and organizational identification. It suggests that resonant leadership could be the potential driver to manage the predominant psychological factors of the incoming cohort group of Gen-Z software professionals, which yield positive work outcomes. Based on the empirical evidence, the software companies can devise suitable intervention mechanisms to enhance productivity and reduce turnover intentions of the Gen-Z cohort. Thus, this study is a novel attempt to establish a comprehensive theoretical framework that provides a broad scope for future research to investigate the mechanisms which manage the expectations of Gen-Z cohorts. Springer US 2022-10-20 /pmc/articles/PMC9584236/ /pubmed/36285291 http://dx.doi.org/10.1007/s12144-022-03847-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Gaan, Niharika Shin, Yuhyung Generation Z software employees turnover intention |
title | Generation Z software employees turnover intention |
title_full | Generation Z software employees turnover intention |
title_fullStr | Generation Z software employees turnover intention |
title_full_unstemmed | Generation Z software employees turnover intention |
title_short | Generation Z software employees turnover intention |
title_sort | generation z software employees turnover intention |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584236/ https://www.ncbi.nlm.nih.gov/pubmed/36285291 http://dx.doi.org/10.1007/s12144-022-03847-9 |
work_keys_str_mv | AT gaanniharika generationzsoftwareemployeesturnoverintention AT shinyuhyung generationzsoftwareemployeesturnoverintention |