In this article, we examine the history and development of job embeddedness, beginning with the story of the idea's conception, theoretical foundation, and original empirical structure as a major predictor of employee voluntary turnover. We then consider more recent expansions in the theoretical structure and empirical measurement of job embeddedness, exploring job embeddedness as a causal indicator model versus a reflective model. Next, we review some promising expansions of embeddedness to new domains (e.g., family embeddedness) as well as important contingency factors that enhance or diminish its impact. Finally, we describe how job embeddedness affects important organizational outcomes beyond turnover, including job performance, organizational citizenship behavior, innovation, and the development of social and human capital. Throughout the article, we provide our opinions on how the theory and research on embeddedness have progressed as well as ideas on how it can be improved.

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Scholars of transformational leadership and leader–member exchange (LMX) have argued that leaders are able to positively influence the job attitudes and behaviors of followers by different means. Whereas transformational leadership focuses on the leaders’ ability to transform followers through a global inspiring vision that encourages positive change among all employees, LMX highlights the importance of the leaders’ unique relationships with followers as the driver of positive attitudes and behaviors. Using field data gathered from 280 full‐time employees, the current research compared the influence of these two leadership styles on follower engagement. The results suggested that rather than the influence derived from inspirational leadership behaviors, it is employees’ unique relationship with their leader that creates follower engagement. Additionally, the results indicated that follower engagement mediates the relationship between leadership and key employee outcomes (i.e., organizational citizenship behavior [OCB] and employee turnover intentions). Implications to theory and practice are discussed.

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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 trajectory (i.e., an increasing trend in complexity) is associated with higher employee job strain. Based on job‐demand‐control theory and the exposure‐reactivity model, we further establish that job autonomy and employee emotional stability jointly moderate the relationship between job complexity trajectory and employee job strain. Specifically, for employees with high emotional stability, job autonomy mitigates the job strain brought by positive job complexity trajectory, whereas for employees with low emotional stability, job autonomy does not help to reduce the adverse effect of the increasing trend. These findings not only contribute to extend the understanding of the job complexity – strain relationship, but also suggest a promising, dynamic avenue to study the effects of work characteristics on employee well‐being as well as other outcomes. Copyright © 2016 John Wiley & Sons, Ltd.