Journal ArticleDOI
Perceptual measures of performance: fact or fiction?
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TLDR
A multitrait–multimethod analysis of perceptual performance measures to investigate item-specific trait, method and error variance finds that while random error and systematic bias account for a large portion of item variance, perceptual measures satisfy the requirements of reliability and validity.About:
This article is published in Journal of Operations Management.The article was published on 2004-06-01. It has received 460 citations till now. The article focuses on the topics: Common-method variance & Reliability (statistics).read more
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Out of the Crisis
TL;DR: Deming's theory of management based on the 14 Points for Management is described in Out of the Crisis, originally published in 1982 as mentioned in this paper, where he explains the principles of management transformation and how to apply them.
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Inter‐organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships
TL;DR: In this paper, the authors investigate the antecedents and performance outcomes of inter-organizational communication and empirically test a number of hypothesized relationships based on a sample of over 200 United States firms.
Journal ArticleDOI
Contingency research in operations management practices
Rui Sousa,Christopher A. Voss +1 more
TL;DR: In order to increase the understanding of patterns of use of operations management practices, OM scholars need to study in more depth the process of selection of OM best practices by organizations, and put forward a framework to underpin such research integrating contingency theory and other theoretical perspectives.
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Managing beyond the factory walls: Effects of four types of strategic integration on manufacturing plant performance
TL;DR: In this paper, the authors focus on the integration of strategic objectives and process knowledge that a manufacturing factory collects from its external interfaces and use a path analytic approach to simultaneously assess the contributions of the various types of integration to manufacturing-based competitive capabilities and business level performance.
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A critical review of survey-based research in supply chain integration
TL;DR: In this article, a detailed analysis of survey-based research with respect to the relationship between supply chain integration and performance is presented, showing that there are significant differences in the factors and constructs used to measure SC integration.
References
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Journal ArticleDOI
Intraclass correlations: uses in assessing rater reliability.
TL;DR: In this article, the authors present guidelines for choosing among six different forms of the intraclass correlation for reliability studies in which n target are rated by k judges, and the confidence intervals for each of the forms are reviewed.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Journal ArticleDOI
Convergent and discriminant validation by the multitrait-multimethod matrix.
TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.
Journal ArticleDOI
Self-Reports in Organizational Research: Problems and Prospects
TL;DR: In this paper, the authors identify six categories of self-reports and discuss such problems as common method variance, the consistency motif, and social desirability, as well as statistical and post hoc remedies and some procedural methods for dealing with artifactual bias.
Book
Applied Linear Statistical Models
TL;DR: Applied Linear Statistical Models 5e as discussed by the authors is the leading authoritative text and reference on statistical modeling, which includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half.
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