scholarly journals Prevalence and trigger factors of functional gastrointestinal disorders among male civil pilots in China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chen Li ◽  
Junrong Xu ◽  
Daiwen Yin ◽  
Yuhai Zhang ◽  
Dezhi Shan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Functional Gastrointestinal Disorders ◽  
Equation Modeling ◽  
Gastrointestinal Disorders ◽  
Trigger Factors ◽  
Food Pattern ◽  
Flight Level

AbstractFunctional gastrointestinal disorders (FGIDs) are common among the aircrew due to their arduous working environment. This study investigated the prevalence of FGIDs in Chinese male pilots and assessed the effects of trigger factors on the FGIDs. A cross-sectional study including 212 male pilots was performed in a Chinese large civil airline company. FGIDs were diagnosed according to the Rome IV diagnostic criteria. The psychological performance, dietary pattern, sleep situation, and physical activity of the respondents were assessed. Logistic regression analysis and structural equation modeling were used to explore the association between these trigger factors and FGIDs. FGIDs were observed in 83 (39.22%) respondents, of which 31 (37.35%) had overlap syndromes. Age, flight level, flight time, high-salt food pattern, anxiety, and sleep performance were found to be associated with FGIDs (all P < 0.05). Stepwise logistic regression analysis revealed that the flight level (OR 0.59, 95% CI 0.31–0.080), high-salt food pattern (OR 2.31, 95% CI 1.28–4.16), and sleep performance (OR 2.39, 95% CI 1.11–5.14) were the influencing factors associated with FGIDs. Structural equation modeling confirmed the correlations between FGIDs and the occupational, dietary, and psychological factors with a reasonable fit. The preventive strategies were necessitated according to occupational and psychological characteristics.

Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method

2019 ◽  
Vol 50 (6) ◽  
pp. 619-624 ◽  
Author(s):  
Joseph F. Hair ◽  
Marko Sarstedt
Keyword(s):  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Project Management ◽  
Team Performance ◽  
Structural Equation ◽  
Modeling Method ◽  
Equation Modeling ◽  
The Right

Structural equation modeling (SEM) is a widely applied and useful tool for project management scholars. In this Thoughtlet article, we critically reflect on the measurement philosophy underlying the two streams of SEM and their adequacy for estimating relationships among concepts commonly encountered in the field (e.g., team performance). We also discuss considerations to ponder when making the choice between the two types of SEM as well as between SEM and regression analysis.

scholarly journals Examination of the Role of Competitive Advantage in the Relationship between the Marketing Intelligence and Export Performance of the Companies Located in the Industrial Town of Ilam City

2015 ◽  
Vol 62 ◽  
pp. 53-61
Author(s):  
Hasan Ali Heidari ◽  
Hiva Faroughi ◽  
Mansoor Khaksar
Keyword(s):  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Competitive Advantage ◽  
Structural Equation ◽  
Export Performance ◽  
Pearson Correlation ◽  
Equation Modeling ◽  
Marketing Intelligence ◽  
The Relationship

The current paper was conducted with the aim of investigating the role of the competitive advantage in the relationship between the marketing intelligence on the export performance within the scope of the activities of the Industrial towns in the city of Ilam. To attain the research goals, as many as 155 people of mangers and experts were selected through simple random method for responding to the research questionnaires. The research sample group responded to the Marketing Intelligence (L.A. Cacciolatti and A. Fearne) and the Competitive advantage and Exports performance (Murray et al) questionnaires on the Likert scale. The data taken from the research questionnaires were analyzed by using the Pearson correlation coefficient, structural equation modeling and regression analysis. The findings resulting from the data analysis implicated that there is a significant and direct relationship between dimensions of the marketing intelligence (type of information, sources of information, and alternation in using information) and the competitive advantage (r=0.986) and between the competitive advantage and the export performance (r=0.925). The results of the structural equation modeling and regression analysis illustrated that the competitive advantage plays a mediating role in the relationship between the marketing intelligence and export performance of the companies among the industrial companies. The findings suggest that the marketing intelligence will at first result in enhanced competitive advantage of the companies and then the competitive advantage will bring about a boost to the export performance of the companies.

scholarly journals Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling

2018 ◽  
Vol 26 (3) ◽  
pp. 1-21 ◽  
Author(s):  
G. Tomas M. Hult ◽  
Joseph F. Hair ◽  
Dorian Proksch ◽  
Marko Sarstedt ◽  
Andreas Pinkwart ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Instrumental Variables ◽  
Structural Equation ◽  
International Marketing ◽  
Marketing Research ◽  
Equation Modeling ◽  
Sem Analyses

Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. To identify and treat endogeneity, and create awareness of how to deal with this issue, this study introduces a systematic procedure that translates control variables, instrumental variables, and Gaussian copulas into a PLS-SEM framework. We illustrate the procedure's efficacy by means of empirical data and offer recommendations to guide international marketing researchers on how to effectively address endogeneity concerns in their PLS-SEM analyses.

scholarly journals DEVELOPING ISLAMIC SMART CITY MANAGEMENT USING ORGANISATION PUBLIC RELATIONSHIP (OPR) EFFECTIVENESS: A STRUCTURAL EQUATION MODELING (SEM) PARTIAL LEAST SQUARE APPROACH

2019 ◽  
Vol 7 (1) ◽  
pp. 99-107
Author(s):  
Ilham Sentosa ◽  
Obsatar Sinaga ◽  
Zaimie Zainal ◽  
Arry Hutomo Mustika Djaya
Keyword(s):  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Public Sector ◽  
Customer Satisfaction ◽  
Smart City ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
City Management ◽  
The Public

Purpose  of  Study:  This study revaluates the interrelationships between relationship-building and bottom-line consequences to the public sector organisation and development of Islamic smart city management projects to confirmatory investigate the results of relationship measures on the internal customer satisfaction and behavioral intentions. Methodology: In general, by connecting organisation-public relationship (OPRs) components and behavioral intentions outcomes may fortify and support the relationship marketing theory. The previous result of the linear regression analysis supports the proposed model based on the empirically validated organisation-public relationship (OPRs) components, which were reliable and valid. Main Findings: The results of reliability, correlation, regression analysis, and Mahalanobis Distance analysis using PLS technique data analysis were presented. Outcomes from structural equation modeling show that customer satisfaction mediated the connection between organisation-public relationship (OPRs) dimensions and behavioral intentions consequences. In the same meaning, customer satisfaction is a predictor and exogenous variable in the model. The results revealed that public sector managers perceived the development of Islamic smart city management within the public sector organisation as trustworthy would more likely to say positive things of the current organisation.

Structural Equation Modeling Algorithm and Its Application in Business Analytics

2017 ◽  
pp. 17-39
Author(s):  
Shahryar Sorooshian
Keyword(s):  
Decision Making ◽  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Data Analysis ◽  
Structural Equation ◽  
Review Article ◽  
Equation Modeling ◽  
Business Analytics ◽  
Modeling Methods ◽  
Validity Tests

Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods. Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rapidly increasing. This review article algorithmically discusses the SEM methodology. SEM strategies, SEM steps and SEM stages are introduced in this article; validity tests are presented as well. Novelty of this article is in modified steps of SEM application in modeling strategies, also in its developed practical comprehensive SEM application flowchart. This article is a roadmap for business advisors and those scholars trying to compute SEM for their decision making, complex modeling and data analysis programming.

Factors Affecting Malware Attacks: An Empirical Analysis

2017 ◽  
Vol 10 (02) ◽  
Author(s):  
Ajay Kumar ◽  
Nishikant Ojha ◽  
Nishit Kumar Srivastava
Keyword(s):  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Empirical Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Proposed Model

It has been well proved that malware attacks results in a loss of wealth and security to individuals and organizations. So, it is of utmost importance to understand that how a person or an organization becomes a victim of malware attacks. To understand the issues affecting malware attacks an empirical analysis was carried out. Firstly, factors affecting malware attacks were identified and a model was proposed, subsequently SEM (Structural Equation Modeling) was carried out to validate the proposed model and finally, regression analysis was used to establish the importance of the identified factors.

Sign in / Sign up

Export Citation Format

Share Document