2021
DOI: 10.3390/su13094680
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Predicting Job Burnout and Its Antecedents: Evidence from Financial Information Technology Firms

Abstract: Job burnout is a continuing concern for human resource management and mental health at work, as it affects employee productivity and well-being. The present study conceptualizes Kahn’s job engagement theory to predict job burnout through a latent growth model. To test the proposed model, data were collected by surveying 710 employees of R&D departments of financial information technology firms of Taiwan at multiple points in time over 6 months. Therein, this study found that as employees perceived more eth… Show more

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Cited by 14 publications
(12 citation statements)
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References 48 publications
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“…We collected samples of CEOs and SETs of medium-sized technology farms in Taiwan for PGM analysis over three separate time periods with an interval of three months. Each time period is separated by three months to satisfy PGM statistical analysis [43][44][45].…”
Section: Samplementioning
confidence: 99%
“…We collected samples of CEOs and SETs of medium-sized technology farms in Taiwan for PGM analysis over three separate time periods with an interval of three months. Each time period is separated by three months to satisfy PGM statistical analysis [43][44][45].…”
Section: Samplementioning
confidence: 99%
“…In this research, emails were used to collect questionnaires to prevent the CEO from knowing about the TMTs questionnaires. The sampling design used in this research was a 3-month lag structure in three waves because the attitude changes should have been detected during this time lag [32][33][34]. In other words, we collected data at the first-stage, second-stage, and third-stage time, and each stage time was 3 months apart for the Taiwan agricultural companies for six months.…”
Section: Sampling and Proceduresmentioning
confidence: 99%
“…We investigated data at a three-phase time in six months from the agricultural technology manufacturing companies in Taiwan. The interval of each time point was three months to in line with past attitude changes studies [28][29][30]. We contacted these agricultural technology manufacturing companies to join the survey.…”
Section: Sampling and Proceduresmentioning
confidence: 99%