2016
DOI: 10.1002/job.2158
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Intra‐individual variability in job complexity over time: Examining the effect of job complexity trajectory on employee job strain

Abstract: Summary Drawing on gestalt characteristics theory, we advance the literature on the effect of job complexity on employee well‐being by considering intra‐individual variability of job complexity over time. Specifically, we examine how the trend, or trajectory, of job complexity over time can explain unique variance of employee job strain. Across two longitudinal data sets, we consistently find that, with the average level of job complexity during a given period held constant, a positive job complexity trajector… Show more

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Cited by 32 publications
(25 citation statements)
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“…Consequently, phenomena once viewed as static features (e.g., justice, incivility, and leadership) are now considered dynamic and subject to abrupt change across incidents. In recent years, scholars have argued that “real-world processes and situations unfold dynamically over time” (Wolfson & Mathieu, 2018: 1167), leading employee experiences to differ as they evolve uniquely (Li, Burch, & Lee, 2017). Accordingly, even modest day-to-day changes across tasks, interactions, and contexts may demonstrate a nontrivial impact on employee and organizational outcomes.…”
Section: Event-based Perceptions Of Organizational Politicsmentioning
confidence: 99%
“…Consequently, phenomena once viewed as static features (e.g., justice, incivility, and leadership) are now considered dynamic and subject to abrupt change across incidents. In recent years, scholars have argued that “real-world processes and situations unfold dynamically over time” (Wolfson & Mathieu, 2018: 1167), leading employee experiences to differ as they evolve uniquely (Li, Burch, & Lee, 2017). Accordingly, even modest day-to-day changes across tasks, interactions, and contexts may demonstrate a nontrivial impact on employee and organizational outcomes.…”
Section: Event-based Perceptions Of Organizational Politicsmentioning
confidence: 99%
“…Despite the repeated talk of "agility" during fast-paced changes, the need for stability as a basic human need and an organizational resource was not overlooked. Continuous changes in, for example, work procedures and information systems, are associated with higher job strain, making stability beneficial for employee well-being (Li et al, 2017). Also, people need relatively stable conditions, a sense of safety and belonging, to become involved in and identify with organizational goals (Newman et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Note that HLMs can be used to represent a variety of patterns present in longitudinal data. Researchers may also investigate purely concurrent relations between predictors and outcomes with models that do not include a lagged response variable (e.g., Barnes, Schaubroeck, Huth, & Ghumman, 2011) or growth in an outcome and its covariates (e.g., Li et al, 2017; Zhu et al, 2016). These other applications are not the emphasis of the current study because they do not incorporate lagged dependent variables (DVs) and place their inferences on different fundamental patterns (i.e., not change or dynamics).…”
Section: Change and Dynamicsmentioning
confidence: 99%
“…Longitudinal data structures in organizational science typically consist of observations on a relatively large number of units (e.g., people, teams, organizations), N , over a relatively small number of equally spaced time ( T ) intervals. In recent investigations, N is typically in the range of 50 to 500 and T is between 2 and 50, with the vast majority of studies having six or fewer measurements per unit (e.g., Chi, Chang, & Huang, 2015; Li, Burch, & Lee, 2017; Zhu, Wanberg, Harrison, & Diehn, 2016). Longitudinal data structures fall within the broader class of nested data structures, and so methods that account for the nonindependence of observations within the units (aka, clustered responses or unit effects) are needed to obtain accurate inferences.…”
mentioning
confidence: 99%