2020
DOI: 10.4018/ijskd.2020070104
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Narcissism as a Determinant of Job Satisfaction Among University Teaching Staff in India

Abstract: This study is an attempt to understand the relationship between narcissism and job satisfaction in the context of teachers in a university set-up. Previous research has considered narcissism as a personality disorder and considers it unhealthy for organizations and individuals. In order to understand the construct of narcissism, and how it impacts on job satisfaction, 560 university teachers out of which187 females and 373 males were chosen from public and private higher educational institutions of India. The … Show more

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Cited by 9 publications
(2 citation statements)
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“…To ensure that the research findings are truly generalisable, it is necessary to examine and establish the measurement model's reliability and validity (Centobelli et al, 2021; Chand et al, 2020; Kumar et al, 2023). Considering the imperativeness of reliability and validity, we applied several tests, and the related results are elaborated on in the subsequent subsections.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…To ensure that the research findings are truly generalisable, it is necessary to examine and establish the measurement model's reliability and validity (Centobelli et al, 2021; Chand et al, 2020; Kumar et al, 2023). Considering the imperativeness of reliability and validity, we applied several tests, and the related results are elaborated on in the subsequent subsections.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…The structural model (refer to Figure 4) was evaluated using the complete bootstrapping method with 1000 sub-samples. Multicollinearity issues were checked for each construct using VIF (Variance Inflation Factor) values, that came out to be within the ideal values of 3–5 (Chand et al, 2020; Hair et al, 2010). Also, the value of R 2 (refer to Table 3) suggests that the model has moderate explanatory power, as the rule states that the closer the value to 1, the greater the model’s explanatory power (Dhiman et al, 2018; Hair et al, 2011; Henseler et al, 2009).…”
Section: Resultsmentioning
confidence: 99%