scholarly journals Influence of Digital Finance on Efficacy of Entrepreneurship by Returning Migrant Workers

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Can Xiong ◽  
Fusheng Zeng
Keyword(s):  
Migrant Workers ◽  
Structural Equation ◽  
Influencing Factor ◽  
Equation Model ◽  
Equation Modeling ◽  
Pls Regression ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Factors Affecting ◽  
Initial Iteration

Digital finance provides an ideal entrepreneurial environment for returning migrant workers (RMWs). From the perspective of entrepreneurs, many scholars have quantified the factors affecting entrepreneurship, as well as the entrepreneurial environment, theorized the importance, motives, and internal/external impactors of RMW entrepreneurship, and put forward quite a lot of countermeasures. This paper innovatively evaluates how digital finance influences the efficacy of RMW entrepreneurship. Firstly, the authors established an influencing factor analysis model and an RMW entrepreneurship model and explained principles for the structural equation modeling of the influence of digital finance on RMW entrepreneurship efficacy. Next, the traditional partial least squares (PLS) regression was optimized, the optimal initial iteration values (IIVs) were obtained, and the algorithm convergence was achieved. Finally, a multilayer structural equation model (SEM) was constructed to evaluate the influence of digital finance on RMW entrepreneurship efficacy. The proposed algorithm and model were proved valid and feasible through experiments.

scholarly journals Structural Equation Modeling using Stata

2021 ◽  
Author(s):  
Meghan Cain
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Group Analysis ◽  
Equation Modeling ◽  
Mediation Model ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Confirmatory Factor ◽  
Curve Model ◽  
Standard Linear

In this tutorial, you will learn how to fit structural equation models (SEM) using Stata software. SEMs can be fit in Stata using the sem command for standard linear SEMs, the gsem command for generalized linear SEMs, or by drawing their path diagrams in the SEM Builder. After a brief introduction to Stata, the sem command will be demonstrated through a confirmatory factor analysis model, mediation model, group analysis, and a growth curve model, and the gsem command will be demonstrated through a random-slope model and a logistic ordinal regression. Materials and datasets are provided online, allowing anyone with Stata to follow along.

scholarly journals Evaluation of Factors Affecting the Transition to a Circular Economy (CE) in Vietnam by Structural Equation Modeling (SEM)

2022 ◽  
Vol 14 (2) ◽  
pp. 613
Author(s):  
Thảo Việt Trần ◽  
Thảo Hương Phan ◽  
Anh Thị Trâm Lê ◽  
Trang Mai Trần
Keyword(s):  
Citizen Participation ◽  
Circular Economy ◽  
Structural Equation ◽  
Development Trend ◽  
Equation Model ◽  
Equation Modeling ◽  
Strong Impact ◽  
Willingness To Participate ◽  
Factors Affecting ◽  
The Given

Currently, the transition to a circular economy is becoming a development trend of many countries around the world to cope with climate change and reduce carbon emissions. Vietnam is also one of the countries in the process of taking steps to transition to a circular economy. However, to make a successful transition to a circular economy, citizen participation is essential. Thus, the question is, are people ready to participate in the circular economy? Therefore, this study surveyed 431 people regarding their willingness to participate in the circular economy based on the theory of planned behavior and the structural equation model. The results of empirical research have shown that the factors attention to the environment, and attitude towards intention are the factors that have a strong impact on willingness to participate in the circular economy. Based on the given influencing factors, the authors make some policy suggestions for the Vietnamese government in the transition to a circular economy.

Second-order confirmatory factor analysis model for estimating the overall risk of change orders in road projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Badawy
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Construction Projects ◽  
Equation Model ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Systematic Analysis ◽  
Change Orders ◽  
Content Type ◽  
Road Projects

Purpose Change orders in construction projects may lead to an increase in time and cost highlighting the need for a systematic analysis of the causes of change orders. Each cause of change orders has a probability of occurrence and impact; therefore, there is a need to reassess the causes of change orders based on the probability and impact. The purpose of this paper is to determine the risk score for each factor and develop a model for estimating the overall change orders based on the measured and latent variables. Design/methodology/approach The research methodology consists of four parts. The first part identifies the causes of change orders in road projects from a literature review and develops the final list using the Delphi technique. The second part includes designing the final questionnaire to determine the probability and impact of each factor on the five-point Likert scale and 237 questionnaires received validity. The data were divided into training and testing sets and analyzed using AMOS software. Findings The proposed structural equation model presents an insight into the influence of measured and latent factors, which are not obvious in the traditional equations. The main cause for change orders was a change in design. Originality/value The results of this research are expected to improve the execution of road projects by identifying the main causes of the change orders and hence the project manager can develop a proper risk response plan.

Electric Vehicle Operating Characteristics Analysis Based on Structural Equation Model

2013 ◽  
Vol 278-280 ◽  
pp. 202-206
Author(s):  
Ming Yu Zhao ◽  
Ying Hui Wang ◽  
Zhi Yuan Lu ◽  
Wei Guo Zhang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Structural Equation ◽  
Least Square Method ◽  
Equation Model ◽  
Least Square ◽  
Equation Modeling ◽  
Operating Characteristics ◽  
Factors Affecting ◽  
Characteristics Analysis

Through research of user activity characteristics of the user's social attributes of electric vehicles, electric vehicles, electric vehicles performance and electric vehicles running environment, this paper puts forward electric vehicle running characteristics model, specificly select factors affecting variables, uses structural equation modeling on operating characteristics of the electric vehicle, uses AMOS6.0 software for solve and data fitting adoping least square method, finally gives credible analysis results.

Model Selection and Average Proportion Explained Variance in Exploratory Factor Analysis

2020 ◽  
pp. 001316442096316
Author(s):  
Tenko Raykov ◽  
Lisa Calvocoressi
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Model Choice ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Number Of Factors ◽  
Average Proportion ◽  
Explained Variance

A procedure for evaluating the average R-squared index for a given set of observed variables in an exploratory factor analysis model is discussed. The method can be used as an effective aid in the process of model choice with respect to the number of factors underlying the interrelationships among studied measures. The approach is developed within the framework of exploratory structural equation modeling and is readily applicable with popular statistical software. The outlined procedure is illustrated using a numerical example.

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.

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

A Study on Factors Affecting on Customer Intention to Use the Express Bus

2018 ◽  
Vol 34 (5E) ◽  
Author(s):  
Phuong Nguyen Van ◽  
Hieu Trung Nguyen ◽  
Toan Bao Le
Keyword(s):  
Local Government ◽  
Service Quality ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Perceived Value ◽  
Equation Model ◽  
Corporate Image ◽  
Organizational Image ◽  
Factors Affecting ◽  
Managerial Implications

The improvement of transit service quality is an essential role in developing urban and interstate transportation. The local government, as well as bus service companies, should understand the behavioral intention of passengers to meet their expectation and requirements. This paper aims to highlight such behavioral decision and investigate dominant factors that influence the customers’ decision to use the express bus. The study explores the case of express bus companies in Tay Ninh province, Vietnam. By using the structural equation model approach to analyze the data collected from 295 passengers, who have experienced in using the express bus, the results reveal that service quality has a significantly positive relationship with both perceived value and corporate image. Specifically, customer satisfaction and organizational image also positively influence behavioral intention. Meanwhile, service quality indirectly affects on behavioral intention throughout perceived value and corporate image. Based on the findings, we provided some insightful managerial implications and recommendations to managers of bus carriers, and valuable practical suggestions to policymakers in the local government of Tay Ninh province to improve the service quality to encourage more citizens to use the express bus.

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