2016
DOI: 10.1057/jit.2014.27
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The Effect of Personality on IT Personnel's Job-Related Attitudes: Establishing a Dispositional Model of Turnover Intention across IT Job Types

Abstract: Research on IT personnel has observed that the major predictors for turnover intention are job satisfaction and organizational commitment. However, less is known about how these predictors are determined and how they vary according to the different job types of IT personnel. Hence, we develop and evaluate a dispositional model of turnover intention across IT job types as the first approach in IT turnover research combining the personality traits of the five-factor model and the basic turnover model found among… Show more

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Cited by 41 publications
(23 citation statements)
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References 92 publications
(159 reference statements)
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“…We also include individual differences in terms of age (Burton‐Jones & Hubona, ), gender (Venkatesh & Morris, ), dispositional resistance to change (Maier et al . ), neuroticism and extraversion (Eckhardt et al ., ) as control variables that may influence individual behaviour.…”
Section: Research Model: Constructs and Hypothesis Developmentmentioning
confidence: 99%
“…We also include individual differences in terms of age (Burton‐Jones & Hubona, ), gender (Venkatesh & Morris, ), dispositional resistance to change (Maier et al . ), neuroticism and extraversion (Eckhardt et al ., ) as control variables that may influence individual behaviour.…”
Section: Research Model: Constructs and Hypothesis Developmentmentioning
confidence: 99%
“…At the same time, IS research scholars have proposed that future research move beyond TAM (Hirschheim, 2007) and investigate user resistance in greater detail (Lapointe and Rivard, 2005). Furthermore, IS research has called for a deeper investigation of personality and IS research phenomena (Devaraj et al, 2008;Eckhardt et al, 2015), for an integration of user resistance and personality research (Venkatesh, 2006), and for research identifying those individual differences that are instrumental in explaining a large proportion of variance in individual perceptions of information technology (Agarwal and Prasad, 1999). Our approach in this paper responds to all of these mandates by finding that dispositional resistance to change has a significant direct effect on how a new mandatory IS is perceived, employees' resistance to change, and a significant indirect effect the resulting user resistance behavior.…”
Section: Implications For Theorymentioning
confidence: 99%
“…The extraversion trait indicates individuals' tendency to be socially more active and reactive as they develop more social networks compared to those who are low in this dimension [27] [28]. The previous empirical studies recognized that higher levels of interaction pose the frequency and scope of using more networking behaviors [29]. Therefore, individuals who score high in extraversion are expected to establish high in social networks with other organizations [30].…”
Section: Review Of the Literaturementioning
confidence: 99%