Journal Article10.1287/ORSC.1090.0446
A Relational Model of How High-Performance Work Systems Work
722
TL;DR: It is proposed that high-performance work systems can improve organizational performance by strengthening relationships among employees who perform distinct functions, a pathway that is expected to be particularly important in settings characterized by highly interdependent work.
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Abstract: In this paper we explore a causal mechanism through which high-performance work systems contribute to performance outcomes. We propose that high-performance work systems can improve organizational performance by strengthening relationships among employees who perform distinct functions, a pathway that is expected to be particularly important in settings characterized by highly interdependent work. In a nine-hospital study of patient care, we identify high-performance work practices that positively predict the strength of relational coordination among doctors, nurses, physical therapists, social workers, and case managers, in turn predicting quality and efficiency outcomes for their patients. Relational coordination mediates the association between these high-performance work practices and outcomes, suggesting a relational pathway through which high-performance work systems work.
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References
•Book
Hierarchical Linear Models: Applications and Data Analysis Methods
James A. Calvin
- 03 Mar 1992
TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
24.4K
Hierarchical Linear Models: Applications and Data Analysis Methods.
TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
19.4K
Social Capital, Intellectual Capital, and the Organizational Advantage
Janine Nahapiet,Sumantra Ghoshal +1 more
TL;DR: In this article, the authors present a model that incorporates this overall argument in the form of a series of hypothesized relationships between different dimensions of social capital and the main mechanisms and proces.
16.7K
A comparison of methods to test mediation and other intervening variable effects.
TL;DR: A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect and found two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and greatest statistical power.