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Information overload as an antecedent of turnover intentions among software engineers of north Indian organisations: a study based on gender and marital status

Anchal Luthra, Kavita Singh and Mandhir Anchal

International Journal of Business and Globalisation, 2023, vol. 35, issue 3, 325-349

Abstract: The purpose of this cross-sectional study was to explain questions like what is the impact of information overload on the development of turnover intentions in software? Does poor health and poor performance mediate this relationship? Does this impact is gender-marital status based? Data was collected from 265 software engineers from different IT organisations in Delhi-NCR. Results confirmed a significant positive association between information overload and turnover intentions. A significant mediation of poor performance and poor health was also confirmed, and information adoption significantly moderated the relationships. Gender-marital status also had a substantial impact on the associations. Especially, married females are more prone to develop turnover intentions due to information overload from their supervisors. IT organisations struggling with turnover intentions must adopt appropriate systems to control the flow of information to avoid its overflow to enhance employees' performances and job satisfaction level and motivates them to stay for a longer period.

Keywords: turnover intention; knowledge; information overloading; performance; employee health; techno-stress; information technology. (search for similar items in EconPapers)
Date: 2023
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