Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis

Recent efforts have been made to identify and compare employees with profiles reflecting different combinations of affective (AC), normative (NC), and continuance (CC) organizational commitment. To date, the optimal profiles in terms of employee behavior and well-being have been found to be those in...

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Main Authors: Kam, C., Morin, A., Meyer, John, Topolnytsky, L.
Format: Journal Article
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/13745
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author Kam, C.
Morin, A.
Meyer, John
Topolnytsky, L.
author_facet Kam, C.
Morin, A.
Meyer, John
Topolnytsky, L.
author_sort Kam, C.
building Curtin Institutional Repository
collection Online Access
description Recent efforts have been made to identify and compare employees with profiles reflecting different combinations of affective (AC), normative (NC), and continuance (CC) organizational commitment. To date, the optimal profiles in terms of employee behavior and well-being have been found to be those in which AC, NC, and CC are all strong, or those where AC, or AC and NC, dominate. The poorest outcomes are found for profiles where AC, NC, and CC are all weak, or CC dominates. The primary goal of the current study was to use latent profile analysis and latent transition analysis to identify profile groups and examine changes in profile membership over an 8-month period in an organization undergoing a strategic change. We also tested hypotheses concerning the relation between perceived trustworthiness of management and employees’ commitment profile within and across time. We found that commitment profiles have substantial temporal stability and that trustworthiness positively predicts memberships in more desirable commitment profiles. There was also some, albeit weak, evidence that changes in perceived trustworthiness were accompanied by corresponding shifts in the commitment profile.
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spelling curtin-20.500.11937-137452017-09-13T15:01:41Z Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis Kam, C. Morin, A. Meyer, John Topolnytsky, L. Recent efforts have been made to identify and compare employees with profiles reflecting different combinations of affective (AC), normative (NC), and continuance (CC) organizational commitment. To date, the optimal profiles in terms of employee behavior and well-being have been found to be those in which AC, NC, and CC are all strong, or those where AC, or AC and NC, dominate. The poorest outcomes are found for profiles where AC, NC, and CC are all weak, or CC dominates. The primary goal of the current study was to use latent profile analysis and latent transition analysis to identify profile groups and examine changes in profile membership over an 8-month period in an organization undergoing a strategic change. We also tested hypotheses concerning the relation between perceived trustworthiness of management and employees’ commitment profile within and across time. We found that commitment profiles have substantial temporal stability and that trustworthiness positively predicts memberships in more desirable commitment profiles. There was also some, albeit weak, evidence that changes in perceived trustworthiness were accompanied by corresponding shifts in the commitment profile. 2016 Journal Article http://hdl.handle.net/20.500.11937/13745 10.1177/0149206313503010 restricted
spellingShingle Kam, C.
Morin, A.
Meyer, John
Topolnytsky, L.
Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis
title Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis
title_full Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis
title_fullStr Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis
title_full_unstemmed Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis
title_short Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis
title_sort are commitment profiles stable and predictable? a latent transition analysis
url http://hdl.handle.net/20.500.11937/13745