Relationship between Job and Family Satisfaction: Causal or Noncausal Covariation?

1994 ◽  
Vol 20 (3) ◽  
pp. 565-579 ◽  
Author(s):  
Michael R. Frone ◽  
Marcia Russell ◽  
M. Lyme Cooper
Keyword(s):  
Structural Equation Modeling ◽  
Random Sample ◽  
Structural Equation ◽  
Positive Relationship ◽  
Family Satisfaction ◽  
Reciprocal Relationship ◽  
Equation Modeling ◽  
Common Cause ◽  
Modeling Techniques ◽  
The Relationship

Prior research supports a positive relationship between job and family satisfaction. Although this relationship has been taken as support for the spillover hypothesis, it is also consistent with an alternate hypothesis that has received little attention. The congruence hypothesis states that job and family satisfaction are positively related because they share a common cause or causes. Thus, the distinction between the spillover and congruence hypotheses reflects the broader distinction between causal and noncausal (i.e., spurious) covariation. The goal of this study was to determine which hypothesis best reflects the relationship between job and family satisfaction. Data were obtained through household interviews with a random sample of 631 individuals. Structural equation modeling techniques were used to estimate simultaneously a reciprocal relationship between job and family satisfaction and a noncausal correlation between their disturbance terms. Results supported the congruence hypothesis, indicating that the relationship between job and family satisfaction is characterized best as noncausal.

scholarly journals KETERHUBUNGAN ANTARA KEMAMPUAN, KEBAJIKAN (BENEVOLENCE), DAN INTEGRITAS PERUSAHAAN TERHADAP KEPERCAYAAN DAN PARTISIPASI PELANGGAN: STUDI EMPIRIS PADA TOKOPEDIA

2020 ◽  
Vol 4 (2) ◽  
pp. 330
Author(s):  
Lidya Gunarso ◽  
Jeremy Andriano ◽  
Sabrina Oktaria Sihombing
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Positive Relationship ◽  
Reliability And Validity ◽  
Likert Scale ◽  
Consumer Participation ◽  
Consumer Confidence ◽  
Equation Modeling ◽  
Modeling Data ◽  
The Relationship

Penelitian ini bertujuan untuk memprediksi keterhubungan antara kemampuan, kebajikan, dan integritas Tokopedia terhadap kepercayaan dan partisipasi pelanggan Tokopedia. Sebanyak 130 responden terlibat dalam penelitian ini. Kueioner dikembangkan berdasarkan indikator-indikator penelitian sebelumnya. Skala Likert 5 poin digunakan dalam kuesioner tersebut. Sebelum data dianalisis dengan menggunakan structural equation modeling, data terlebih dahulu diuji reliabilitas dan validitasnya. Hasil analisis menunjukkan bahwa terdapat 3 dari tujuh hipotesis yang tidak didukung dalam penelitian ini. Ketiga hipotesis tersebut berkaitan dengan kebajikan dan integritas tidak mempunyai keterhubungan yang positif dengan kepercayaan konsumen. Lebih lanjut, tidak keterhubungan positif antara kebajikan perusahaan dengan tingkat partisipasi konsumen. Pembahasan serta keterbatasan penelitian juga disampaikan. This study aims to predict the relationship between the ability, benevolence, and integrity of Tokopedia to the trust and participation of Tokopedia customers. A total of 130 respondents were involved in this study. The questionnaire was developed based on the indicators of previous studies. A 5-point Likert scale was used in the questionnaire. Before the data are analyzed using structural equation modeling, the data are first tested for reliability and validity. The analysis shows that there are thress of the seven hypotheses that are not supported in this study. The three hypotheses related to benevolence and integrity do not have a positive relationship with consumer confidence. Furthermore, there is no positive relationship between the benevolence of the company and the level of consumer participation. Discussion and limitations of the study were also conveyed.

The relationship between attraction, perception of service, opportunities and tourist satisfaction in backwater tourism in Alappuzha district of Kerala in India

2021 ◽  
pp. 146735842110440
Author(s):  
Legy Clara Joseph ◽  
Vasanthi Soundararajan ◽  
Satyanarayana Parayitam
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Conceptual Model ◽  
Structural Equation ◽  
Positive Relationship ◽  
Measurement Model ◽  
Equation Modeling ◽  
Tourist Satisfaction ◽  
Tourism And Hospitality ◽  
The Relationship

This article aims to explore the relationships between destination attractions, tourists’ awareness of eco-tourism and facilities, level of perceived service, opportunities and problems, and tourist satisfaction in backwater tourism in Kerala, India. Using a structured survey instrument, we gathered data from 586 tourists. A conceptual model was developed and tested after checking the psychometric properties of the instrument. We tested the measurement model using the Lisrel package (structural equation modeling), and Hayes (2018) process macros were used to test the moderation hypotheses. The results confirm that (i) attraction and opportunities are positively related to tourist satisfaction, (ii) perception of service positively moderates the relationship between attraction and tourist satisfaction, (iii) perception of service (first moderator) and awareness (second moderator) interact to influence the relationship between attraction and tourist satisfaction, and (iv) problems negatively moderate the positive relationship between opportunities and tourist satisfaction. The implications for the literature on tourism and hospitality and practicing managers are discussed.

To Be Or Not To Be Visible In Company-Managed Virtual Communities?

2014 ◽  
Vol 5 (4) ◽  
pp. 20-37
Author(s):  
Imene Ben Yahia
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Quality ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Virtual Communities ◽  
Group Analysis ◽  
Virtual Community ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
The Relationship

This research investigates how the companies' efforts' visibility influence VCs members' loyalty. Based on the relationship marketing and the signaling theory, it posits that perceived benefits by members influence loyalty through the full mediation of the relationship investments and the relationship quality. However, this influence is moderated by the visibility of companies' efforts. Data from 342 members of company-managed virtual communities were collected. The sample was divided into two groups according to the visibility of the company's efforts. Data were analyzed using structural equation modeling techniques and multi-group analysis. Results show that this influence is significant when the efforts of the company are visible and not significant when they are not. Providing benefits to members is then not enough to foster loyalty. The company has to be a visible partner who contributes in the success of the virtual community.

scholarly journals Does Artificial Intelligence (AI) Enabled Recruitment Improve Employer Branding?

2022 ◽  
Vol 17 (2) ◽  
pp. 45
Author(s):  
Giulia Baratelli ◽  
Elanor Colleoni
Keyword(s):  
Artificial Intelligence ◽  
Structural Equation Modeling ◽  
Random Sample ◽  
Structural Equation ◽  
Positive Relationship ◽  
Equation Modeling ◽  
Employer Branding ◽  
Recruitment Process ◽  
Talent Acquisition ◽  
Employer Attractiveness

Extant research over the last decades has stressed how artificial intelligence (AI) can be used to boost the recruitment process and to attract the best talents. Although AI is increasingly used for talent acquisition, with 36% of hiring processes expected to have a pre-screen through AI (Oracle, 2019) in the next two years, we have limited knowledge of how AI shapes talents’ perceptions about the organisation to which they are applying to. The goal of this research is to investigate if and how the usage of AI in the recruitment process improves employer attractiveness and employer branding in the eyes of the applicants. To investigate this issue a survey has been conducted on a random sample of individuals composed of 50% females and 50% males. To examine the survey’s result a structural equation modeling (SEM) has been applied. Results showed a positive relationship between EB and AI and more in particular that AI-enabled tools are perceived in a positive way by potential candidates. Thus, according to this study, AI is significantly related to Employer branding and therefore it contributes to improving talent attraction.

scholarly journals Significance of Monitoring and Control for Employees’ Felt Trust, Motivation, and Mastery

2017 ◽  
Vol 7 (4) ◽  
Author(s):  
Vilde Hoff Bernstrøm ◽  
Helge Svare
Keyword(s):  
Structural Equation Modeling ◽  
Intrinsic Motivation ◽  
Random Sample ◽  
Structural Equation ◽  
Equation Modeling ◽  
Monitoring And Control ◽  
Felt Trust ◽  
And Control ◽  
The Relationship

The aim of the current study is to investigate the importance of monitoring and employee control for employees’ felt trust, as well as felt trust as a mediating variable between monitoring and control, intrinsic motivation and mastery. A random sample of 3015 Norwegian employees was analyzed using Structural Equation Modeling. Monitoring was negatively related to employees’ felt trust, while employees’ control over decisions was related to higher felt trust. In turn, felt trust was related to employees’ intrinsic motivation and experience of mastery. Felt trust also partially mediated the relationship between employee control and intrinsic motivation, employee control and mastery, and entirely mediated the relationship between monitoring and intrinsic motivation and monitoring and mastery. The findings highlight the importance of felt trust for theory related to the workplace: Our findings support that employees are less intrinsically motivated if they are monitored because they feel less trusted.

Strategy and structure of the hotel industry in Malaysia

2007 ◽  
Vol 4 (1) ◽  
pp. 97
Author(s):  
Salleh Mohd Radzi ◽  
Mohamed Amran ◽  
Abdul Razak Aziz ◽  
Azlan Supardi
Keyword(s):  
Structural Equation Modeling ◽  
Analysis Of Variance ◽  
Structural Equation ◽  
Hotel Industry ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Major Purpose ◽  
Strategy And Structure ◽  
Relationship Of ◽  
The Relationship

The major purpose ofthis study was to examine the relationship of strategy and structure. Porter s(/980) strategic typology was utilized to classify hotel firms by strategic orientation; and, an analysis of variance was performed to determine the differences in their performance. Structural Equation Modeling was used to confirm the factors underlying the strategy and structure constructs.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

FEATURE,NILAI, KEPUASAN DAN LOYALITAS PELANGAN

2017 ◽  
Vol 2 (1) ◽  
pp. 45-52
Author(s):  
Iha Haryani Hatta
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Customer Value ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relationship Of ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

The aim of this study was to determine the relationship of the features of the value, satisfaction, and customer loyalty; the effect on the value of customer satisfaction and loyalty; influence of satisfaction on customer loyalty. A total of 200 merchant PT. BANK XYZ as respondents was selected randomly. Analyses were performed using structural equation modeling (SEM). The analysis showed that the feature has a significant influence on customer value, but not for customer satisfaction and loyalty. The values has a significant influence on satisfaction, but not on customer loyalty. Satisfaction has a significant influence on customer loyalty. Discussion and conclusions described in the article. Keywords: features of the value, satisfaction, customer loyalty

Perceived Employability Moderates Burnout and Depression Among Bank Employees

2016 ◽  
Vol 44 (7) ◽  
pp. 1123-1132 ◽  
Author(s):  
Haishu Qiao ◽  
Yue Xia ◽  
Ying Li
Keyword(s):  
Mental Health ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Negatively Associated ◽  
Perceived Employability ◽  
Bank Employees ◽  
The Relationship

Because bank employees have been found to be especially susceptible to burnout and depression, we explored the relationship between these variables, and examined the moderating effect of perceived employability on the burnout–depression relationship in a sample of Chinese bank employees. As we expected, burnout and perceived employability were, respectively, positively and negatively associated with depression. The results of hierarchical regression and structural equation modeling indicated that perceived employability moderated the relationship between burnout and depression; higher perceived employability was associated with a weaker relationship between burnout and depression. Interventions aimed at developing the perceived employability of Chinese bank employees may help to improve mental health in this group.

Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

2020 ◽  
Vol 17 (06) ◽  
pp. 2050040
Author(s):  
Alejandro Coronado-Medina ◽  
Jose Arias-Pérez ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Absorptive Capacity ◽  
Product Innovation ◽  
Structural Equation ◽  
Digital Transformation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

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