Features of technology and its linkages with turnover intention and work exhaustion among IT professionals: A multi-study investigation

Tomer, Gunjan; Mishra, Sushanta Kumar; Qureshi, Israr

doi:10.1016/j.ijinfomgt.2022.102518

Cited by 13 publications

(5 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That said, the convenience sampling approach of our study does leave some concerns regarding sample representativeness. Although, a review of recent studies conducted on South Asian IT professionals reveals similar demographic characteristics (in terms of sample size, age, and work experience) as our study (please refer, Sharma and Nambudiri (2020), Tomer et al (2022), Prabhu et al (2022)) which gives more support to the representativeness of our sample. However, future studies can use more systematic sampling strategies to minimize chances of bias.…”

Section: Limitations and Future Researchsupporting

confidence: 71%

The effect of social support on teleworker environment and work engagement: a multimethod analysis

Kakkar

Kuril

Saha

et al. 2023

ITP

View full text Add to dashboard Cite

PurposeEmploying the “Job demands-resources (JD-R)” framework, this study examines the impact of co-occurring social supports (supervisor, coworker, and family support) on the telework environment and employee engagement.Design/methodology/approachThe study uses a multimethod approach. Data from 294 employees belonging to Indian technology organizations were collected and analyzed using the partial least squares (PLS)-based structure equation modeling software SmartPLS4. Following this, necessary condition analysis (NCA) was carried out using the NCA package for R.FindingsTelework environment was found to mediate the relationship between social support and work engagement. Supervisor support and instrumental family support were identified as predictors as well as necessary conditions for telework environment. Coworker support was identified both as a predictor and necessary condition for telework environment. Although emotional family support was found to be a predictor of telework environment, it was not identified as a necessary condition.Practical implicationsThe findings indicate that coworker support and family instrumental support are as important for telework success as supervisor support. Moreover, our findings suggest that varying levels of telework environments (low, moderate, and high) may necessitate distinct social support configurations. Consequently, organizations should match their social support configuration to match their overall teleworking strategy.Originality/valueA basic premise of the JD-R framework is that resources exist in caravans (bundles). However, previous research (in telework) has concentrated on only one or two kinds of social support, that too in varying situational contexts, limiting generalizability of the findings. This has also produced inconsistent conclusions concerning the role of support providers such as coworkers and family. Recent developments in JD-R also suggest that the role of resources may vary in terms of their importance (necessity) for work engagement. By augmenting standard regression-based techniques with NCA, the authors explore these issues to provide a more thorough understanding of the influence of social supports on work engagement in telework situations.

show abstract

Section: Limitations and Future Researchsupporting

confidence: 71%

The effect of social support on teleworker environment and work engagement: a multimethod analysis

Kakkar

Kuril

Saha

et al. 2023

ITP

View full text Add to dashboard Cite

show abstract

“…Additionally, a research firm, Gartner (2021), reported that India's IT sector had shown significant attrition rates in 2021, even exceeding 30% in some instances (S & M M, 2020; Tomer et al., 2022). In this context, Pan and Zhou (2012) and Sharma and Tiwari (2022b) suggested how an inability to excel in a career result in further resource loss, such as lower workplace happiness, which impacts workers' perceptions toward organizations (Guan et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

Emotional intelligence and career success: Does resilience matter?

Sharma

Tiwari

2023

Glob Bus Org Exc

View full text Add to dashboard Cite

Achieving success in one's career has numerous positive consequences for individuals as well as for organizations. This study examines the influence of emotional intelligence measures on career success. Also, using the broaden and build theory, we propose employee resilience as an underlying mechanism connecting emotional intelligence measures and career success. Data were collected from employees working in different IT organizations in India's northern region. Confirmatory factor analysis followed by path analysis using the maximum likelihood estimation (MLE) method in AMOS was performed. Results found that all the emotional intelligence measures directly affect career success and employee resilience. For instance, the adaptability dimension had the most significant direct impact on career success, whereas the interpersonal dimension emerged as the leading predictor of resilience among all five emotional intelligence dimensions. In addition, employee resilience was identified as a partial mediator between all emotional intelligence measures and career success. The present study offers some insightful theoretical and practical implications.

show abstract

“…Using the questions associated with the factor for change uncertainty in Rafferty and Griffin’s ( 2006 ) multi-item measure for job-based change perceptions, we evaluated our participants’ self-reported perceptions of uncertainty surrounding aspects of their job (four items on a 5- point Likert-type scale unified as a single variable.) Owing to the literature supporting that employees who have high turnover intention likely have lower technology acceptance (e.g., Shahreki et al, 2019 ; Thatcher et al, 2002 ; Tomer et al, 2022 ), we used O'Driscoll and Beehr’s ( 1994 ) measure for turnover intentions (TOI)(three items on a 5- point Likert-type scale unified as a single variable.) To account for the variance that could be explained by leader-member exchange (LMX) that the literature supports impacts technology acceptance (Hwang et al, 2016 , 2020 , 2021 ; Schepers et al, 2005 ), we used Graen and Ulh-Bien’s ( 1995 ) measure of LMX (seven items on a 5- point Likert-type scale unified as a single variable.)…”

Section: Methodsmentioning

confidence: 99%

Tales from the Dark Side of Technology Acceptance: The Dark Triad and the Technology Acceptance Model

Aplin-Houtz¹,

Leahy²,

Willey³

et al. 2023

Employ Respons Rights J

View full text Add to dashboard Cite

With the dramatic shifts in the workforce that have emerged in the post–COVID-19 world, workers’ emotions have often presented very negatively, causing people to overtly display the dark aspects of their personality while at work. At the same time, organizations have been forced to adopt new technologies to fill the gaps in their desired outcomes and cope with changes in market demand. The ensuing clash between negative emotions and technological implementation may lead to intense conflicts and adverse work outcomes. This study hypothesizes a direct relationship between dark personality traits (narcissism, Machiavellianism, and psychopathy) and technology acceptance. Using a multiple regression model with a sample of general workers from various industries ( n = 396), the study found that narcissism and psychopathy significantly impacted technology acceptance, while Machiavellianism did not. The findings offer valuable theoretical, practical, and managerial insights.

show abstract

Features of technology and its linkages with turnover intention and work exhaustion among IT professionals: A multi-study investigation

Cited by 13 publications

References 101 publications

The effect of social support on teleworker environment and work engagement: a multimethod analysis

The effect of social support on teleworker environment and work engagement: a multimethod analysis

Emotional intelligence and career success: Does resilience matter?

Tales from the Dark Side of Technology Acceptance: The Dark Triad and the Technology Acceptance Model

Contact Info

Product

Resources

About