Workload and Fatigue Among Assembly Operators. A Structural Equation Modeling Approach

2016 ◽  
Vol 60 (1) ◽  
pp. 1520-1523
Author(s):  
Juan Luis Hernandez-Arellano ◽  
Maury A. Nussbaum ◽  
Jorge Luis Garcia-Alcaraz
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Statistical Significance ◽  
Equation Model ◽  
Equation Modeling ◽  
High Workload ◽  
Using Data ◽  
Good Mode ◽  
Occupational Fatigue

This study used Structural Equation Modeling (SEM) to test the relationship between workload and fatigue dimensions, using data obtained from among Constant Velocity (CV) joints assembly workers in Mexico. Three years before this study, assembly workers had complained about how their job’s high workload had increased their levels of fatigue. The NASA-TLX and the Swedish Occupational Fatigue Inventory ware used to collect data on the effects of workload on fatigue from 116 assembly workers. A structural equation model was used to test five hypotheses associated on the effects of workload on lack of energy, physical effort, physical discomfort, lack of motivation, and sleepiness. All relationships were significant and had associated positive load factors. As a result, the modified structural equation model showed statistical significance, as well as good mode fitness. From these results, fatigue was supported as being substantially affected by the workload.

The Relationship Among Non-English Majors’ Autonomous Learning Ability, Learning Burnout and English Grades: A Structural Equation Modeling Study

2019 ◽  
Vol 42 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Youkun Wang
Keyword(s):  
Structural Equation Modeling ◽  
Empirical Study ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Equation Modeling ◽  
English Majors ◽  
The Relationship

Abstract This study aims to explore the relationship among autonomous learning ability, learning burnout and English grades by structural equation modeling. The survey of 481 non-English majors showed that autonomous learning ability, learning burnout and English grades correlated significantly with each other, and the structural equation model of the three variables was stable. This suggests that the stronger the autonomous learning ability, the lower the level of learning burnout, the higher the English grades. This empirical study shows that the autonomous learning ability of non-English majors can influence the level of learning burnout, which in turn influences English grades. Learning burnout can mediate the effects of autonomous learning ability on English grades.

scholarly journals Role of Passion as a Mediator between Motivational and Individual Traits of Technology Entrepreneurs

2019 ◽  
Vol 8 (4) ◽  
pp. 12279-12286
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Vital Role ◽  
Primary Data ◽  
Equation Modeling ◽  
Individual Factors ◽  
The Individual

Background and Objectives:Technology today plays a major role in devising a creative business idea and implementing the same. The process of translating an idea into business depends on the individual who is able to harness his individual potential and self-motivation to bring about a business venture. This paper aims at devising a structural equation model on the individual factors and motivational factors which can bring about a technological business venture. Methods: A conceptual framework has been prepared and tested with a structural equation model. The study was conducted with primary data collected from 100 techno entrepreneurs in the city of Chennai and Bangalore using a structured questionnaire. Results: Exploratory Factor Analysis (EFA) confirmatory factor analysis (CFA) and structural equation modeling has been used to identify the various motivational and individual factors that facilitateindividuals becoming entrepreneurs taking up businesses which use technology for its growth. Structural equation modeling was used to test the hypothesis. Conclusions:The findings highlight the individual and motivational the factors create a spur that sets a tone to play a vital role in establishing a enterprise that is technology driven.

Critical assessment of construction contract administration using fuzzy structural equation modeling

2020 ◽  
Vol 27 (6) ◽  
pp. 1233-1255 ◽  
Author(s):  
Murat Gunduz ◽  
Hesham Ahmed Elsherbeny
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Measurement Tool ◽  
Second Phase ◽  
Content Type ◽  
Contract Administration ◽  
Process Groups

PurposeThis paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.Design/methodology/approachThe research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.FindingsThe data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.Originality/valueThe contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.

scholarly journals Investigating of Factors Affecting the Fertility Pattern of Arak City in 2018 With the Structural Equation Modeling

2020 ◽  
Vol 23 (3) ◽  
pp. 360-373
Author(s):  
Fatemeh Amiri ◽  
◽  
Rasoul Najafi ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation Model ◽  
Contraceptive Method ◽  
Structural Equation ◽  
Infertility Treatment ◽  
Equation Model ◽  
Equation Modeling ◽  
Childbearing Age ◽  
Factors Affecting ◽  
Fertility Pattern

Background and Aim: Fertility pattern is one of the most important determinants of population fluctuations. Various individual and social factors affect this pattern. This study aimed to determine the factors affecting the fertility pattern using the structural equation model. Methods & Materials: In this cross-sectional study, 384 women were randomly selected from married women of childbearing age who referred to Taleghani, Valiasr, and Amir Al-Momenin hospitals in Arak as patients. After obtaining verbal consent to participate in the study, a researcher-made and valid questionnaire was completed for them. Structural equation modeling was used to measure the effect of important individual and social variables on fertility patterns. Data analysis and analysis were performed with AMOUS software version 11 and SPSS V. 22. Ethical Considerations: This study was registered with the ethics code IR.ARAKMU.REC.1396.4 by the Research Ethics Committee of Arak University of Medical Sciences. Results: The Mean±SD age of the participants in the study was 40.03±11.19. The variables affecting the fertility pattern using the structural equation model included, respectively, the type of individual exercise, the method of contraception, the type of infertility treatment, and the duration of use of the contraceptive method. Conclusion: The results showed that physical activity, contraceptive method, and duration of use of this method and the type of infertility treatment were related to fertility pattern. By recognizing the factors affecting the fertility pattern and increasing the awareness of young couples, it is possible to help improve the fertility pattern.

scholarly journals A Structural Relationship Between Domestic Tourist Satisfaction, Trust, Switching Barriers And Retention

2014 ◽  
Vol 13 (6) ◽  
pp. 1375
Author(s):  
Aurathai Lertwannawit ◽  
Nak Gulid
Keyword(s):  
Structural Equation Model ◽  
Empirical Data ◽  
Structural Equation ◽  
Statistical Significance ◽  
Customer Retention ◽  
Equation Model ◽  
Equation Modeling ◽  
Direct Influence ◽  
Factors Influencing ◽  
Switching Barriers

The objective of this study is to examine the direct effects of satisfaction, trust, and switching barriers on customer retention in Bangkok and Pattaya, Chonburi province. Four hundred and forty questionnaires were distributed as the means of data collection and analyzed using structural equation modeling (SEM). The results of testing hypotheses are as follows: The developed structural equation model of customer retention in Bangkok was congruent with empirical data as the criterion, as follows: (?2 = 141.098, df = 69, ?2/df = 2.045, GFI = .956, AGFI = .933, RMSEA = .049, RMR = .073, CFI = .979). Factors influencing customer retention in Bangkok included the following: a) satisfaction showed the highest level of direct influence = .225 and b) switching barriers with direct influence = .193, followed by trust = .188 with statistical significance at the .001 level.The developed structural equation model of customer retention in Pattaya was congruent with empirical data as the criterion, as follows: (?2 = 95.438, df = 49, ?2/df = 1.948, GFI = .966, AGFI = .945, RMSEA = .046, RMR = .077, CFI = .982). Factors influencing customer retention in Pattaya included the following: a) switching barriers showed the highest level of direct influence = .251 and b) trust with direct influence = .240, followed by satisfaction = .159 with statistical significance at the .001 level.

scholarly journals Vocational Misfit: Source of Occupational Stress Among Accountants

2011 ◽  
Vol 13 (3) ◽  
pp. 43 ◽  
Author(s):  
G. R. Cluskey, Jr. ◽  
Alan Vaux
Keyword(s):  
Structural Equation Modeling ◽  
Occupational Stress ◽  
Survey Data ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Model ◽  
Job Dissatisfaction ◽  
Equation Modeling ◽  
Management Accountants

<span>The career path of management accountants involves rotation through disparate positions that, we hypothesized, puts these professionals at risk for episodes of vocational misfit. Survey data from 188 management accountants were examined through correlational analyses and structural equation modeling. As predicted, many respondents (40%) met Hollands (1985b) criterion for vocational misfit. Poor vocational fit was significantly associated in correlational analysis with job dissatisfaction, how self-esteem, and turnover, and in a structural equation model, with a stress process that included both stressors and strains.</span>

scholarly journals Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

2019 ◽  
Vol 10 (5) ◽  
pp. 53
Author(s):  
Jean Marc Nacife ◽  
Frederico A. Loureiro Soares ◽  
Marconi Batista Teixeira ◽  
Leonardo Nazário S. dos Santos ◽  
Gustavo Castoldi
Keyword(s):  
Structural Equation Modeling ◽  
Production System ◽  
Structural Equation ◽  
Statistical Significance ◽  
Methodological Approach ◽  
Production Costs ◽  
Equation Modeling ◽  
Structural Quality ◽  
Sugarcane Production ◽  
Path Diagram

Agribusiness has played a strategic role for Brazil's development with the challenge of sustainable agriculture. It is proposed to determine, through Structural Equation Modeling (SEM), the validity and effects of the relationships between socioeconomic factors of the sugarcane production system in Quirinópolis, providing subsidies to the decision-making process of agricultural establishments. The research methodological approach was quantitative, applying techniques of normality statistics, hypothesis and multivariate analysis without statistical significance (P <0,05). A path diagram model was developed that presented structural quality adjustment and its validated explanatory equations, obtaining relevant R2. The results demonstrate that the Equation 1 (IBCcane = 0.02Rcane - 0.75ICcane – 0.46ISVO + 0.35ISPS + error) is explained in 73.7% of its variance (R2), in the Equation 2 (ICcane = 0.59ISVO – 0.45ISPS + 0.35SizeEstablis + error) successor vocation affects 42% on production costs and in the Equation 3 (Rcane = -0.40 AgroDistance – 0.16ISPS + error) the distance between farm and agribusiness influences 72% on the proposed revenue mix. The SEM analysis verified that social factors influence the economic factors that compose the sugarcane production system studied. The path diagram proved that the influence track relative to the costs in the proposed model is more representative than revenue for the economic results of rural sugarcane establishments. 

scholarly journals Effects of Strategic Orientation on Performance of Telecommunication Sector in Nigeria

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Niyi Israel Akeke ◽  
◽  
Adenike Rita Akeke ◽  
Ayodeji Muyideen Awolaj ◽  
Mathew Olufemi Oyebanji
Keyword(s):  
Structural Equation Modeling ◽  
Significant Influence ◽  
Structural Equation ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Telecommunication Sector ◽  
Line Managers ◽  
Strategic Orientations ◽  
Using Data ◽  
Technology Orientation

The study explores the potential influences of strategic orientation constructs of entrepreneurial, market and technology orientations on telecommunication firms’ performance using data obtained through structured questionnaires from 57 line managers and 300 customers of these firms. The data collected were subjected to the structural equation modeling technique. The results revealed that strategic orientation has a positive significant relationship with firm performance. Specifically, it showed that only technology orientation has a significant influence on telecommunication firms’ performance. The study contributes to the understanding of the rationale behind which set of strategic orientations should be implemented for improved level of performance in the telecommunication sector.

Analysis of Elderly Mobility by Structural Equation Modeling

2003 ◽  
Vol 1854 (1) ◽  
pp. 81-89 ◽  
Author(s):  
Sungyop Kim
Keyword(s):  
Structural Equation Model ◽  
Urban Form ◽  
Structural Equation ◽  
Elderly Population ◽  
Puget Sound ◽  
The Elderly ◽  
Equation Model ◽  
Education Level ◽  
Equation Modeling ◽  
Elderly Mobility

Mobility is a critical element of quality of life. This is as true for the elderly population as for the larger population. The elderly often have limited physical abilities and financial constraints that might reduce their mobility. Helping the growing elderly population to maintain decent mobility is a critical challenge for transportation planning and policy. For this, the factors that influence the mobility of the elderly population (elderly mobility) must be understood. Only a few systematic studies, however, have been published. Descriptive statistics of the potentially influential factors make it difficult to assess their effects on elderly mobility. The transportation mobility of retired people age 65 years or older in the Puget Sound region of Washington State was analyzed by using a structural equation model. The statistical significance and relative effects of various personal and household characteristics and urban form on elderly mobility were tested. The structural equation model finds statistically significant relationships between age, gender, transportation disability, possession of a driver's license, and education level and elderly mobility. Among these variables, age and education level show the strongest effects. Urban form, however, seems to be insignificant.

scholarly journals Estimating Three-way Latent Interaction Effects in Structural Equation Modeling

2016 ◽  
Vol 5 (6) ◽  
pp. 73
Author(s):  
Birhanu Worku Urge ◽  
Kepher Makambi ◽  
Anthony Wanjoya
Keyword(s):  
Sample Size ◽  
Structural Equation Model ◽  
Interaction Effect ◽  
Latent Variable ◽  
Structural Equation ◽  
Error Control ◽  
Equation Model ◽  
Equation Modeling ◽  
Type I ◽  
Nonlinear Structural Equation

A Monte Carlo simulation was performed for estimating and testing hypotheses of three-way interaction effect in latent variable regression models. A considerable amount of research has been done on estimation of simple interaction and quadratic effect in nonlinear structural equation. The present study extended to three-way continuous latent interaction in structural equation model. The latent moderated structural equation (LMS) approach was used to estimate the parameters of the three-way interaction in structural equation model and investigate the properties of the method under different conditions though simulations. The approach showed least bias, standard error,and root mean square error as indicator reliability and sample size increased. The power to detect interaction effect and type I error control were also manipulated showing that power increased as interaction effect size, sample size and latent covariance increased.

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