scholarly journals Empathetic Leadership, Job Satisfaction and Intention to Leave among Millennials in a Start-up Industry: Needs’ Satisfaction as a Mediating Variable

2021 ◽  
Vol 36 (2) ◽  
pp. 136-154
Author(s):  
Muhammad Cesare Wicaksana Negoro ◽  
Amin Wibowo
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Negative Relationship ◽  
Intention To Leave ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Needs Satisfaction ◽  
Start Up

Introduction/Main Objectives: The purpose of this research is to examine the relationship between empathetic leadership and employees' job satisfaction and the intention to leave with needs’ satisfaction as a mediating variable among millennials in a start-up business. The number of millennials will only continue to grow, and by 2025 it is expected that 75% of the global workforce will be millennials. In particular, empathetic leadership will be required to manage and control this generation if the organizations they choose to work for are to be successful, as this generation’s members have different characteristics compared to those of the older generations. Design/methodology/approach: Following a cross-sectional research design, this research collected data from 137 millennial employees of start-up companies in Indonesia. A structural equation modeling technique was used for the data’s analysis. Findings: The results reveal that empathetic leadership has a direct and positive relationship with employees' job satisfaction and has a direct and negative relationship with the intention to leave. Needs’ satisfaction partially mediates these relationships. Originality: This study makes a novel contribution to the existing literature by first providing empirical evidence that among the three dimensions of needs’ satisfaction only the relatedness dimension passed the measurement test in the structural equation modeling. Second, empathetic leadership is proven to increase job satisfaction and reduce the intention to leave among millennials, considering their unique characteristics. Research limitations/implications: The research was conducted during COVID-19 pandemic. Circumstances related to that pandemic might influence the result of this study. It is, therefore suggested to conduct the study again under normal circumstances. Policy and Practical implications: The findings of this study suggest managers should develop an empathetic leadership style in order to better manage the millennials. Leaders can be nurtured, but disciplined efforts have to be invested in their creation.  

scholarly journals The Nexus of Perceived Organizational Support, Job Satisfaction, Job Motivation on Turnover Intentions of Pharmaceutical Sales Executives using Structural Equation Modeling

2021 ◽  
pp. 45-53
Author(s):  
Theophilus Ehidiamen OAMEN ◽  
Oamen Sophia OMORENUWA
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Organizational Support ◽  
Structural Equation ◽  
Perceived Organizational Support ◽  
Turnover Intentions ◽  
Intention To Leave ◽  
Equation Modeling ◽  
Sales Professionals ◽  
Job Motivation

In developing countries, there is arguably little or no research study done to evaluate the outcome of path analysis of Job satisfaction (JS), Job motivation (JM), Perceived organizational support (POS), and Turnover Intentions (TIs) on sales professionals in the pharmaceutical marketing industry, using structural equation modeling techniques (SEM). The objective of the study was to evaluate the direct and indirect effects of the relationship between Job satisfaction (JS), Job motivation (JM), Perceived organization support (POS), and Turnover intentions (TI). TI was operationalized as an Intention-to-leave firm for another in the same Industry (TWI) and Intention-to-leave industry entirely (TWO).

scholarly journals Stress and Its Impact on Academic and Social Life of Undergraduate University Students in Ghana: A Structural Equation Modeling Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 37-44
Author(s):  
Koawo Edjah ◽  
Francis Ankomah ◽  
Ebenezer Domey ◽  
John Ekow Laryea
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Social Life ◽  
Structural Equation ◽  
Positive Impact ◽  
Survey Design ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Satisfaction Scale ◽  
Cross Sectional

AbstractStress is concomitant with students’ life and can have a significant impact on their lives, and even how they go about their academic work. Globally, in every five visits by patients to the doctor, three are stress-related problems. This study examined stress and its impact on the academic and social life among students of a university in Ghana. The descriptive cross-sectional survey design was employed. Using the stratified and simple random (random numbers) sampling methods, 500 regular undergraduate students were engaged in the study. A questionnaire made up of Perceived Stress Scale and Students’ Life Satisfaction Scale was used to gather data for the study. Frequencies, percentages, means and standard deviation, and Structural Equation Modeling (SEM), with AMOS were used for the analyses. It was found that majority of the students were moderately stressed. Paramount among the stressors were academic stressors, followed by institutional stressors, and external stressors. Stress had a significant positive impact on the academic and social life of students. It was concluded that undergraduate students, in one way or the other, go through some kind of stress during the course of their study. It was recommended that the university, through its Students’ Affairs, and Counselling Sections, continue to empower students on how to manage and deal with stress in order to enhance their academic life.

scholarly journals Doctors’ Job Satisfaction and Its Relationships With Doctor-Patient Relationship and Work-Family Conflict in China: A Structural Equation Modeling

2018 ◽  
Vol 55 ◽  
pp. 004695801879083 ◽  
Author(s):  
Shumin Deng ◽  
Ningxi Yang ◽  
Shiyue Li ◽  
Wei Wang ◽  
Hong Yan ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Family Conflict ◽  
Structural Equation ◽  
Hubei Province ◽  
Equation Modeling ◽  
Patient Relationship ◽  
Work Family Conflict ◽  
Doctor Patient Relationship ◽  
Work Family

The objective of this study was to evaluate the relationship of doctors’ job satisfaction with doctor-patient relationship and work-family conflict in China. The data came from a cross-sectional survey in Hubei province, which was part of China’s Fifth National Health Services Survey conducted in 2013. The survey in Hubei covered 54 secondary and tertiary general hospitals distributed in 20 counties. Of the 1080 questionnaires, 908 were included into our analysis. After surviving from reliability and validity tests, structural equation modeling was applied for further analysis with SPSS 20.0 and Mplus 7.0. The results showed that the average score of job satisfaction is 19.61 out of 30 points, indicating a relatively low level of doctors’ job satisfaction in Hubei province. Work-family conflict was found to have negative impact on doctors’ job satisfaction, and good doctor-patient relationship was found to have positive impact on their job satisfaction. Therefore, hospital administrators and policy makers should make effort to design and implement strategies that focus on meliorating doctor-patient relationship and balancing doctors’ work and family life to further improve their job satisfaction.

scholarly journals Explanation of Children’s Health through Parents’ Mental Health and Job Satisfaction by Structural Equation Modeling

2016 ◽  
Vol 9 (2) ◽  
pp. 166
Author(s):  
Majid Golzarpour ◽  
Meroe Vameghi ◽  
Homeira Sajjadi ◽  
Gholamreza Ghaedamini Harouni
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
General Health Questionnaire ◽  
Children's Health ◽  
Children’S Health ◽  
Equation Modeling ◽  
Health Questionnaire

<p><strong>BACKGROUND:</strong> Worldwide, much evidence exists on the influence of parents’ socioeconomic conditions, including employment, on children’s health. However, the mechanisms for this affect are still being investigated. Few studies have been conducted in Iran to investigate this issue. This study investigated working conditions, job satisfaction, and mental health of employed people and the association between these variables and their children’s health.<strong></strong></p><p><strong>MATERIALS &amp; METHODS:</strong> In this correlational work, 200 male and female staff of the official part of Educational Organization and the schools of Mashhad with children aged 5-18 years was randomly selected. The data were gathered using a demographic questionnaire, the 20-item Minnesota Job Satisfaction Questionnaire, the 28-item General Health Questionnaire, and the 28-item Child Health Questionnaire. The data were then analyzed using SPSS. The associations under study were investigated by structural equation modeling in AMOS.<strong></strong></p><p><strong>RESULTS:</strong> Approximately 17% of the variation in the parents’ job satisfaction could be explained by the parents’ insurance, income, and work hours; 6% of the variation in their mental health was explained by job satisfaction, and 26% of the variation in children’s health was directly explained by the parents’ job satisfaction and mental health. However, approximately 32.2% of the variation in children’s health could be explained in the light of the direct effect of the parents’ mental health and direct and indirect effects of the parents’ job satisfaction. The goodness of fit index was 0.94.</p><p><strong>CONCLUSION:</strong> Parents’ job satisfaction was associated with and considerably explained children’s health. Although this finding may be partially related to the job satisfaction effect on mental health, the reasons for the affect of job satisfaction on children’s health and the potential mechanisms of this association require further studies.<strong></strong></p>

scholarly journals Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Huanlin Wang ◽  
LanYu Liang ◽  
ChunLin Du ◽  
YongKang Wu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Western China ◽  
Medical Services ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Medical Resources ◽  
Hypothesis Model ◽  
Effort Expectancy ◽  
Willingness To Use

BACKGROUND Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection. OBJECTIVE In this study, we built a hypothesis model based on the unified theory of acceptance and use of technology in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed. METHODS A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors. RESULTS Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (<i>P</i>=.048) and education level (<i>P</i>=.04) affected people’s willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients’ willingness to use online hospitals. CONCLUSIONS The goal of our research was to determine the factors that influence patients’ awareness and willingness to use online hospitals. Currently, the public’s awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.

scholarly journals Loneliness, Emotion Dysregulation, and Internalizing Symptoms During Coronavirus Disease 2019: A Structural Equation Modeling Approach

2021 ◽  
Vol 11 ◽  
Author(s):  
Patrizia Velotti ◽  
Guyonne Rogier ◽  
Sara Beomonte Zobel ◽  
Rosetta Castellano ◽  
Renata Tambelli
Keyword(s):  
Structural Equation Modeling ◽  
Los Angeles ◽  
Internalizing Symptoms ◽  
Emotion Dysregulation ◽  
Structural Equation ◽  
Demographic Data ◽  
Clinical Intervention ◽  
Equation Modeling ◽  
Emotional States ◽  
Cross Sectional

Background: Our study aimed to test the hypotheses that an increased level of loneliness experienced during coronavirus disease 2019 (COVID-19) confinement was predictive of internalizing symptoms and that this pathway was mediated by emotion dysregulation levels.Methods: To reach this aim, we performed an online longitudinal survey recruiting 1,330 participants at Time 1 (at the beginning of the lockdown) and 308 participants at Time 2 (few days before the end of the lockdown). All filled out a set of questionnaires: demographic data, University of California, Los Angeles Loneliness scale, Difficulties in Emotion Regulation Scale−18 items, and Depression Anxiety and Stress Scale−21 items. Hypotheses were tested using structural equation modeling in two steps and controlling for age. First, hypotheses were tested on cross-sectional data. Then, a cross-lagged panel analysis was performed on longitudinal data.Results: Models obtained a good fit and evidenced the predictive role of loneliness levels on the three outcomes (i.e., depression, anxiety, and stress). Moreover, we found that emotion dysregulation levels partially mediated the longitudinal relationship between loneliness and both depression and stress but not between loneliness and anxiety levels.Conclusions: This study points out that a central goal of clinical intervention could be the ability to regulate negative emotional states.

Aquatic Stewardship Education in Theory and Practice

2007 ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Mail Survey ◽  
Value Orientations ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Normative Beliefs ◽  
Cognitive Hierarchy

<i>Abstract.—</i>In this paper, we describe a fishing ethic, conceptualized as Minnesota anglers’ normative beliefs regarding various stewardship behaviors. We use structural equation modeling to determine the extent to which angler’s value orientations, measured along an anthropocentric–biocentric continuum, can be used to predict social norms regarding angling and endorsement or opposition to the use of technological angling aids. Data were obtained from a statewide mail survey of Minnesota anglers conducted in the spring of 2003 (<i>n </i>= 457). Results show a modest, positive relationship between biocentric value orientations and stewardship norms and a modest, negative relationship between biocentric value orientations and support for the use of technological angling aids. Consistent with previous research, our results indicated that norms regarding angling may be positioned along a bio-anthropocentric continuum and support the use of the cognitive hierarchy as a framework for understanding and predicting anglers’ normative beliefs. Results further suggest fisheries managers interested in promoting stewardship could benefit from recognizing the underlying values that help guide our behavior regarding natural resources.

scholarly journals Psychological Mechanisms Linking County-Level Income Inequality to Happiness in China

2018 ◽  
Vol 15 (12) ◽  
pp. 2667
Author(s):  
Jiaoli Cai ◽  
Li Zhang ◽  
Yulin Zhao ◽  
Peter Coyte
Keyword(s):  
Structural Equation Modeling ◽  
Income Inequality ◽  
Structural Equation ◽  
General Social Survey ◽  
Negative Relationship ◽  
Living Standards ◽  
Equation Modeling ◽  
County Level ◽  
Psychological Mechanisms ◽  
The Impact

Background In China, income levels and living standards have improved significantly, but many Chinese citizens still do not feel any happier. This phenomenon may be attributed to increased income inequality. Methods Using data from the 2013 Chinese General Social Survey (CGSS), we employed multilevel structural equation modeling (MSEM) to investigate the impact of county-level income inequality on individual-level happiness in China and multilevel mediation analysis with structural equation modeling (MMSEM) to explore the mechanisms through which income inequality impacted happiness. Results A negative relationship between income inequality and happiness was found. The negative association between them was explained by two psychological mechanisms, i.e., fairness and trust. The findings explained a “Chinese puzzle,” i.e., why people do not feel happier despite improved income and living standards. Conclusions Our findings may provide a reference for policy makers to implement policies designed to improve individual happiness. What is important now is to reduce income inequality, and to potentially improve perceptions of fairness and trust in China.

Job Crafting and Intent to Leave: The Mediating Role of Meaningful Work and Engagement

2020 ◽  
pp. 089484532091866
Author(s):  
Bogdan Oprea ◽  
Lucian Păduraru ◽  
Dragoş Iliescu
Keyword(s):  
Work Engagement ◽  
Structural Equation ◽  
Intent To Leave ◽  
Management Practice ◽  
Negative Relationship ◽  
Meaningful Work ◽  
Job Crafting ◽  
Equation Modeling ◽  
Staff Retention ◽  
Cross Sectional

Managing turnover is an essential human resource practice. One of the modern approaches that could have the potential to increase staff retention is the stimulation of employees’ job crafting, the set of changes regarding job demands and job resources that employees proactively make. Based on self-concept theory, we expected meaningful work and work engagement to serially mediate the negative relationship between job crafting and intent to leave. A cross-sectional study was conducted on a sample of 235 Romanian employees who responded to questionnaires about all variables. The mediation hypotheses were tested with bootstrapping procedures using structural equation modeling. Meaningful work and work engagement serially mediated the negative link between job crafting and intent to leave. Our results suggest that implementing job crafting interventions could reduce employees’ intentions to leave the organization. Future studies could verify whether these interventions may represent a new management practice to effectively control turnover.

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