Journal ArticleDOI
The Unfolding Model of Voluntary Turnover: A Replication and Extension
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In this article, the authors report further theoretical development of Lee and Mitchell's (1994) unfolding model of voluntary turnover, which describes different psychological paths that people take when quitting or...Abstract:
This work reports further theoretical development of Lee and Mitchell's (1994) unfolding model of voluntary turnover, which describes different psychological paths that people take when quitting or...read more
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Why people stay: using job embeddedness to predict voluntary turnover
TL;DR: In this paper, a new construct, called job embeddedness, is introduced, which includes individuals' links to other people, teams, and groups, perceptions of their fit with job, organization, and community, and what they say they would have to sacrifice if they left their jobs.
Journal ArticleDOI
Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: A meta-analysis
TL;DR: A 2-dimensional work stressor framework is used to explain inconsistencies in past research with respect to stressor relationships with retention-related criteria and suggested that the differential relationships between challenge stressor and hindrance stressors and the more distal criteria were due, in part, to the mediating effects of job attitudes.
Journal ArticleDOI
How Important are Job Attitudes? Meta-Analytic Comparisons of Integrative Behavioral Outcomes and Time Sequences
TL;DR: The authors proposed that overall job attitude (job satisfaction and organizational commitment) provides increasingly powerful prediction of more integrative behavioral criteria (focal performance, contextual performance, lateness, absence, and turnover combined).
Journal ArticleDOI
Antecedents to Retention and Turnover among Child Welfare, Social Work, and Other Human Service Employees: What Can We Learn from Past Research? A Review and Metanalysis
TL;DR: In this paper, a metanalysis of 25 articles concerning the relationship between demographic variables, personal perceptions, and organizational conditions and either turnover or intention to leave was conducted, and the authors found that burnout, job dissatisfaction, availability of employment alternatives, low organizational and professional commitment, stress, and lack of social support are the strongest predictors of leaving.
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The effects of organizational learning culture and job satisfaction on motivation to transfer learning and turnover intention
TL;DR: In this paper, the authors examined the relationship of organizational learning culture, job satisfaction, and organizational outcome variables with a sample of information technology (IT) employees in the United States and found that learning organizational culture is associated with IT employee job satisfaction and motivation to transfer learning.
References
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Book
Sensemaking in organizations
TL;DR: The Nature of Sensemaking Seven properties of sensemaking Sensemaking in Organizations Occasions for Sensemaking The Substance of Sense-making Belief-Driven Processes of Sense Making Action-driven Processes on Sensemaking.
Journal ArticleDOI
Organizational, work, and personal factors in employee turnover and absenteeism.
Lyman W. Porter,Richard Steers +1 more
Journal ArticleDOI
An Alternative Approach: The Unfolding Model of Voluntary Employee Turnover
TL;DR: The model of employee turnover described in this article applies constructs and concepts from decision making, statistics, and social psychology to facilitate understanding and to redirect theory development and empirical research, and five specific contributions of the model are suggested, and recommendations for empirical testing and future research are offered.
Book
Using Qualitative Methods in Organizational Research
TL;DR: This book examines the methods and tactics for both generating and testing management theories, including guidelines for deciding whether to use qualitative methods and overviews of four specific research designs.