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To be engaged or not to be engaged: The antecedents and consequences of service employee engagement

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TLDR
In this article, the authors explored the antecedents and consequences of service employee engagement, and examined the main effect of resources (autonomy, feedback, and support) on engagement and how the interaction among resources impacts engagement.
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This article is published in Journal of Business Research.The article was published on 2013-11-01. It has received 255 citations till now. The article focuses on the topics: Employee engagement & Service (business).

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Understanding the effects of personality traits on solver engagement in crowdsourcing communities: a moderated mediation investigation

TL;DR: In this paper, the authors explored solver engagement in online crowdsourcing communities, advancing the theory of trait engagement by investigating the mediating roles of task-related self-efficacy in linking conscientiousness, neuroticism and extraversion, with solvers engagement, and task complexity in influencing the mediation.
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When do frontline service employees feel more grateful

TL;DR: In this paper, the authors investigate underlying mechanisms through which organizational resources impact frontline service employees' (FLEs) core service performance and customer-oriented organizational citizenship behavior (OCB) and find that when the perceived job autonomy is low, providing supervisory guidance is more effective in eliciting employee gratitude than employee-oriented relationship investments.
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Impact of employees' job, organizational and technology fit on engagement and organizational citizenship behavior.

TL;DR: Zhang et al. as mentioned in this paper investigated the effects of three person-environment (PE) fit dimensions (person-job, person-organizational and person-technology fit) on employees' engagement and service-oriented organizational citizenship behavior (OCB) dimensions (i.e. loyalty, service delivery and participation).
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Organizational learning, resilience and psychological empowerment as antecedents of work engagement during COVID-19

TL;DR: In this paper , the authors explore the relationship between organizational learning and work engagement in the Middle East region amid the COVID-19 pandemic and to test the mediating role of employee resilience (ER) and psychological empowerment (PE) on this relationship.
References
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Journal ArticleDOI

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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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.
Book

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.
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