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Article
Publication date: 22 March 2024

Mahsa Abedini, Bert Schreurs, I.M. Jawahar and Melvyn R.W. Hamstra

This research sought to examine the potential association between workers’ financial worry and counterproductive work behavior. Based on the basic psychological need theory, we…

Abstract

Purpose

This research sought to examine the potential association between workers’ financial worry and counterproductive work behavior. Based on the basic psychological need theory, we propose that psychological need satisfaction explains this relationship and we position this volitional pathway as an alternative to a cognitive capacity pathway based on the cognitive load theory.

Design/methodology/approach

We conducted a two-week interval-lagged survey study with three measurement points among 180 US workers. The mediation models were tested using structural equation modeling.

Findings

The results support the conclusion that, while cognitive capacity could have an impact on counterproductive work behavior, its mediating effect is less strong than that of need satisfaction.

Practical implications

Based on the results, we recommend that organizations design their compensation and benefits system to shield employees from financial worries. At the same time, we advise offering the employees who do experience financial worries assistance in managing their budgets and offering other forms of financial coaching.

Originality/value

This study is innovative because we show that the negative effects of financial worry extend much further than initially thought and affect not only employees' cognition but also their motivation.

Details

Journal of Managerial Psychology, vol. 39 no. 4
Type: Research Article
ISSN: 0268-3946

Keywords

Article
Publication date: 27 March 2024

Jyoti Mudkanna Gavhane and Reena Pagare

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

Abstract

Purpose

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

Design/methodology/approach

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Findings

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Originality/value

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

Details

Education + Training, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0040-0912

Keywords

Article
Publication date: 20 April 2023

Mohd Tariq Jamal, Imran Anwar, Nawab Ali Khan and Gayas Ahmad

Working remotely in a COVID-19-induced lockdown has been challenging for both organisations and their employees; studies report that job demands changed, and teleworkers…

Abstract

Purpose

Working remotely in a COVID-19-induced lockdown has been challenging for both organisations and their employees; studies report that job demands changed, and teleworkers experienced increased burnout. This paper explores the negative employee outcomes that this work arrangement brings along and offers possible solutions to counter such negative outcomes since they could be detrimental to the much-touted future of work.

Design/methodology/approach

The study adopted a time-lagged longitudinal design and collected two-waved data from 403 quaternary sector employees. The data were analysed using structural equation modelling and model-21 in PROCESS macro for SPSS.

Findings

Findings affirm that employees experienced increased job demands during this crisis. Employees reported an increase in turnover intention because of burnout caused by increased job demands. However, increased task interdependence alone did not have any effect on turnover intention. The perceived organisational task support (POTS) was found to forestall the negative effect of job demands on burnout, and employee resilience (ER) buffered the burnout and turnover intention relationship.

Practical implications

Providing remote work task support and boosting resilience among employees will help in doing away with the negative effects of teleworking. However, managers shall prioritise reducing job demands for teleworkers.

Originality/value

The linkage between work factors and turnover intention is well established. Drawing on the event system theory and using the COVID-19 context, the present study added to the existing knowledge by studying the role of job demands (workload pressure and task interdependence) on turnover intention through the mediation of burnout. The study goes beyond the existing literature by accounting for POTS as a first-level moderator between job demands and burnout relationship, and ER as a second-level moderator between burnout and turnover intention relationship.

Details

International Journal of Manpower, vol. 45 no. 1
Type: Research Article
ISSN: 0143-7720

Keywords

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