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Demographic homophily, communication and trust in intra-organizational business relationships

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TLDR
In this article, the authors developed a conceptual framework and formulated hypotheses regarding the relationships between demographic homophily, interpersonal communication, trust and dependent variables of perceived relationship quality and relationship commitment.
Abstract
Purpose The purpose of this study is to understand how employees of an organization build and maintain successful business relationships by analyzing major antecedents of relationship quality and relationship commitment. Design/methodology/approach In this study, the authors develop a conceptual framework and formulate hypotheses regarding the relationships between demographic homophily, interpersonal communication, trust and dependent variables of perceived relationship quality and relationship commitment. This paper tests hypotheses presented in this study with the help of a structural equation model, based on a data sample from South Korea. Findings Unlike common thinking, demographic homophily does not directly increase the perceived relationship quality. The authors find a significant direct effect of interpersonal communication on relationship commitment but no effect of commitment on perceived relationship quality. Both seem to play independent roles but are positively influenced through the emergence of trust. Research limitations/implications By applying demographic homophily and interpersonal communication as antecedents and trust as mediator and main driver, the authors research effects on perceived intra-organizational relationship commitment and perceived relationship quality. In detail, the authors confirm the hypothesized centrality of trust in intra-organizational relationships between demographic homophily, interpersonal communication and dependent variables of perceived relationship quality and relationship commitment. Nevertheless, the authors surprisingly find neither significant evidence that demographic homophily increases the perceived quality of a relationship, nor does it lead to higher communication intensity directly, even in an environment (i.e. Korea), where it would be expected. Practical implications Based on the findings of this study, there are several practical implications. Understanding the interpersonal relationship characteristics in an intra-organizational setting enables managers to optimize organizational efficiency and effectiveness. Intra-organizational relationships between employees’ are highly dependent on mutual trust as an indicator for relationship quality and relationship commitment. Organizations can also benefit from the understanding of the mechanisms of demographic homophily and interpersonal communication for the establishment of interpersonal trust as well. Originality/value Research about the effect of demographic homophily and interpersonal communication and the central role of trust in an intra-organizational approach to business relationships on perceived relationship quality and relationship commitment is scarce. The mutual testing of the effects and interaction of established constructs like demographic homophily, interpersonal communication and trust on perceived relationship quality and commitment constitutes the main contribution of this study to the literature on management and business relationships. The insights of this study about interpersonal bonding help companies to establish long-term business relationships.

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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
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Common method biases in behavioral research: a critical review of the literature and recommended remedies.

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
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Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
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Alternative Ways of Assessing Model Fit

TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
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Comparative fit indexes in structural models

TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
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