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Emotions and salesperson propensity to leave: The effects of emotional intelligence and resilience

TLDR
In this article, the authors analyzed the influence of two emotional skills (i.e. emotional intelligence and resilience) on salesperson propensity to leave their organization, both directly and indirectly, through their impact on work and emotional exhaustion.
About
This article is published in Industrial Marketing Management.The article was published on 2015-01-01. It has received 120 citations till now. The article focuses on the topics: Emotional exhaustion & Emotional intelligence.

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Servant leadership: A systematic review and call for future research.

TL;DR: In this article, an integrative and comprehensive review of the 285 articles on servant leadership spanning 20 years (1998-2018) is presented. But, a lack of coherence and clarity around the construct has impeded its theory development.
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Does social capital matter for supply chain resilience? The role of absorptive capacity and marketing-supply chain management alignment

TL;DR: In this article, the authors investigate the role of absorptive capacity and marketing-supply chain management alignment in realizing the potential impact of social capital on supply chain resilience, and they find that supply-chain resilience is positively associated with organizational performance.
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The relationship between emotional intelligence, frontline employee adaptability, job satisfaction and job performance

TL;DR: In this paper, the authors examined the relationship between emotional intelligence, frontline employee adaptability and job outcomes (Job Satisfaction and Job Performance) and found that all dimensions of emotional intelligence positively impacted FLE adaptability.
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Servant leadership and ethics: a dyadic examination of supervisor behaviors and salesperson perceptions

TL;DR: This article used dyadic data from 145 salespeople paired with their managers to investigate relationships among servant leadership, ethical work climate (EWC), behavior control, trust in supervisor (TS), and salesperson performance.
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Test of a mediation model of psychological capital among hotel salespeople

TL;DR: In this paper, a research model that examines psychological capital as a mediator of the effect of servant leadership on lateness attitude, intention to remain with the organization, service-sales ambidexterity and service-oriented organizational citizenship behaviors was proposed.
References
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Journal ArticleDOI

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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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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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.
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Multivariate data analysis

TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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