introduction: the present study aimed to investigate the relationship between servant leadership with job satisfaction, organizational citizenship behavior and organizational commitment by considering the mediating role of psychological empowerment and organizational justice in an industrial company. method: this study used a correlative research method through structural equation modeling (sem...

Structural equation modeling (SEM) has dominated causal analysis in the social and behavioral sciences since the 1960s. Currently, many SEM practitioners are having diiculty articulating the causal content of SEM and are seeking foundational answers. Recent developments in the areas of graphical models and the logic of causality show potential for alleviating such diiculties and thus for revita...

This research investigated the impact the external environment, firm characteristics and firm strategy have on export performance. To this end, a survey was administered to 448 large Brazilian exporters of manufactured products. A structural equation modeling (SEM) approach was used to fit the conceptual model to empirical data. An extensive set of procedures for the validation of measurement m...

Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young childr...

The combination of programmatic theory and structural equation modeling (SEM) can act as the basic intellectual machinery for designing and evaluating behavioral interventions. As an example of the integration, we consider a case study of a randomized experiment to reduce sexual risk taking, the WINGS Project. Barriers to combining systematic use of SEM with programmatic theory for program impr...

Innovation is being view from four areas of innovation, product, service, technology, and marketing. Whereas customer loyalty is composed of customer expectation, perceived quality, perceived value, corporate image, customer satisfaction, customer trust/confidence, customer commitment, customer complaint, and customer loyalty. This study aimed to investigate the influence of innovation factors ...

To reduce a large number of variables to a smaller number of factors for modeling purposes, where the large number of variables precludes modeling all the measures individually. As such, factor analysis is integrated in structural equation modeling (SEM), helping confirm the latent variables modeled by SEM. However, factor analysis can be and is often used on a stand-alone basis for similar pur...

Many operations managers have realized the potential of guanxi to facilitate business transactions. Likewise, operations management researchers have looked at the negative impact caused by the bullwhip effect on excess inventory and the impact of the bullwhip effect on business performance. To date, however, no empirical research has integrated these research streams. Therefore, we draw on both...

Using a measurement model of brand name and consumer preferences, this study aims to investigate the effects of brand name on consumer preferences in Turkmenistan. This study sought to investigate specifically, the influence of brand name on consumer’s preferences by utilizing structural equation modeling (SEM) technique. Moreover, all possible correlations between these dimensions or domains o...

This study investigates the effect of co-production on customer loyalty (attitudinal and behavioral separately) and factors which may boost co-production in an Iranian bank. To investigate co-production in banking services, the proposed model of Auh et al. (2007) was applied. Given the fact that many banks try to get the status of their main customers, co-production was examined due to its pote...