Journal ArticleDOI
Performance in Organizations: Determinants and Appraisal.
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This article is published in Administrative Science Quarterly.The article was published on 1973-09-01. It has received 207 citations till now.read more
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A Causal Model of Organizational Performance and Change
W. Warner Burke,George H. Litwin +1 more
TL;DR: In this article, the authors go beyond description and suggest causal linkages that hypothesize how performance is affected and how effective change occurs, and depict change in terms of both process and content, with particular emphasis on transformational as compared with transactional factors.
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The Missing Opportunity in Organizational Research: Some Implications for a Theory of Work Performance
TL;DR: The authors argue that existing theory fails to provide strong and consistent prediction of individual job performance, and that the failure stems from a neglect of an important dimension of performance, the opportunity to perform, and the interaction of opportunity with known correlates of performance.
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A Path Analysis of a Model of the Antecedents and Consequences of Organizational Commitment
TL;DR: In this paper, an attitudinal model of organizational commitment was tested using a sample of 367 managerial employees, and several aspects of the organization: perceived structure, process, and climate, as well as job satisfaction were found to be predictive of commitment.
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The contributions of total quality management to a theory of work performance
TL;DR: In this article, a system-focused perspective is considered with regard to the determinants of work performance and the system is seen as an important source of variance affecting performance both indirectly and interactively.
Journal ArticleDOI
Commissioned Paper: On the Interface Between Operations and Human Resources Management
TL;DR: This paper probes the interface between operations and human resources by examining how human considerations affect classical OM results and how operational considerations affects classical HRM results, and proposes a unifying framework for identifying new research opportunities at the intersection of the two fields.