scholarly journals Co-determination of capital structure and stock returns in banking industry using structural equation modeling

2013 ◽  
pp. 2367-2372
Author(s):  
Mehdi Taghavi ◽  
Mohammad Khodaei Valahzaghard ◽  
Milad Alishahi
Keyword(s):  
Structural Equation Modeling ◽  
Capital Structure ◽  
Stock Returns ◽  
Structural Equation ◽  
Banking Industry ◽  
Equation Modeling

scholarly journals Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review

2020 ◽  
Vol 15 ◽  
pp. 102-107
Author(s):  
Hunuwala Malawarage Suranjan Priyanath ◽  
Ranatunga RVSPK ◽  
Megama RGN
Keyword(s):  
Structural Equation Modeling ◽  
Sample Size ◽  
Structural Equation ◽  
Sample Size Determination ◽  
Equation Modeling ◽  
Minimum Sample Size ◽  
Research Project ◽  
Rules Of Thumb ◽  
Minimum Sample

Basic methods and techniques involved in the determination of minimum sample size at the use of Structural Equation Modeling (SEM) in a research project, is one of the crucial problems faced by researchers since there were some controversy among scholars regarding methods and rule-of-thumbs involved in the determination of minimum sample size when applying Structural Equation Modeling (SEM). Therefore, this paper attempts to make a review of the methods and rule-of-thumbs involved in the determination of sample size at the use of SEM in order to identify more suitable methods. The paper collected research articles related to the sample size determination for SEM and review the methods and rules-of-thumb employed by different scholars. The study found that a large number of methods and rules-of-thumb have been employed by different scholars. The paper evaluated the surface mechanism and rules-of-thumb of more than twelve previous methods that contained their own advantages and limitations. Finally, the study identified two methods that are more suitable in methodologically and technically which have identified by non-robust scholars who deeply addressed all the aspects of the techniques in the determination of minimum sample size for SEM analysis and thus, the prepare recommends these two methods to rectify the issue of the determination of minimum sample size when using SEM in a research project.

scholarly journals Analisis Peningkatan Kinerja Karyawan Di UP PTSP Kecamatan Makasar dengan Metode Structural Equation Modelling (SEM)

2020 ◽  
Vol 5 (1) ◽  
pp. 53
Author(s):  
Arif Rahman ◽  
Surya Perdana
Keyword(s):  
Structural Equation Modeling ◽  
Work Environment ◽  
Structural Equation ◽  
Employee Performance ◽  
Work Conditions ◽  
Equation Modeling ◽  
Level Of Service ◽  
Equation Modelling ◽  
Time Standard

<p><em>The decline in employee performance at UP PTSP Makasar District is characterized by a decreased level of service time efficiency in the area of KRK and IMB licensing. In addition, the cause of the decline in employee performance is due to the behavior of employees who like to postpone work and come late to work intentionally, and also employees lack the determination of high morale at work. The achievement of the duties of UP PTSP employees in Makasar Sub-District was not in accordance with the determined time standard. The purpose of this study was to determine the effect of the work environment and workload on the performance of UP PTSP Makasar District employees and to know the factors that had to be prioritized to become better. The data used for research is questionnaire data which is processed by the Structural Equation Modeling (SEM) method. This study analyzes the factors of work environment and workload using Structural Equation Modeling (SEM) with AMOS applications. Based on SEM output regression weights value states that there is no significant effect between work environment on employee performance. While there is a significant effect between workload on employee performance. The main priority in improving employee performance through the work environment is cleanliness in the workplace. The main priority in improving employee performance through better workloads is with work conditions at the workplace.</em></p>

Peningkatan Produktivitas Usaha Melalui Pemahaman Kewirausahaan, Pelatihan Kewirausahaan dan Minat Berwirausaha

2021 ◽  
Vol 1 ◽  
pp. 269-280
Author(s):  
Sukirman Sukirman ◽  
Afifi Zaenal
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Random Sampling ◽  
Structural Equation ◽  
Development Program ◽  
Positive Influence ◽  
Equation Modeling ◽  
Entrepreneurship Training ◽  
Analysis Techniques

The purpose of this study is to analyze the effect of understanding entrepreneurship and entrepreneurship training on interest in entrepreneurship, the effect of understanding entrepreneurship and entrepreneurship training on business productivity and the effect of interest in entrepreneurship on business productivity. The population in this study were 264 students participating in the entrepreneurship development program at Muria Kudus University. Determination of the number of samples using the Slovin formula consists of 136 students, with a side technique using proportional random sampling. Data analysis techniques using Structural Equation Modeling (SEM) with AMOS 21 software. The results showed that understanding of entrepreneurship and entrepreneurship training had a positive and significant effect on interest in entrepreneurship, understanding of entrepreneurship and entrepreneurship training had a positive and significant effect on business productivity and interest in entrepreneurship had a positive and significant effect on business productivity. interest in entrepreneurship has a positive and significant influence in mediating the understanding of entrepreneurship on business productivity. Interest in entrepreneurship has a positive influence to become an intervening in mediating entrepreneurship training on business productivity

scholarly journals DETERMINATION of MOTIVATION Muzakki PAYING ZAK at ZAKAT MANAGEMENT Institution (Case study on MSME owners)

2020 ◽  
Vol 7 (2) ◽  
pp. 17-28
Author(s):  
Nurkholis Nurkholis ◽  
Prabowo Yudo Jayanto
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Analysis Tool ◽  
Sampled Data ◽  
Management Agency

This study aims to test and analyze factors that influence the motivation of Muzakki to pay zakat through religiosity, understanding of zakat, level of income, environmental, accountability of zakat management agency and socialization of zakat management agency. The population in this research is all Muslim SMEs in Semarang, while 100 Muslim SME owners in Semarang that are randomly sampled. Data is collected using the questionnaires and analyzed using Structural Equation Modeling (SEM) and  Partial Least Square (PLS) with  Smart analysis tool PLS 3.0. The study shows that religiosity, understanding of zakat, income level, environment, and accountability of the zakat management agency has a positive and significant influence on the motivation of Muzakki to pay Zakaah. While socialization of zakat management zakat has no significant effect.

scholarly journals Competition, Innovation, Risk-Taking, and Profitability in the Chinese Banking Sector: An Empirical Analysis Based on Structural Equation Modeling

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Ti Hu ◽  
Chi Xie
Keyword(s):  
Structural Equation Modeling ◽  
Risk Taking ◽  
Structural Equation ◽  
Banking Sector ◽  
Banking Industry ◽  
Market Competition ◽  
Equation Modeling ◽  
Chinese Banking Industry ◽  
New Perspective ◽  
Chinese Banking

We introduce a new perspective to systematically investigate the cause-and-effect relationships among competition, innovation, risk-taking, and profitability in the Chinese banking industry. Our hypotheses are tested by the structural equation modeling (SEM), and the empirical results show that (i) risk-taking is positively related to profitability; (ii) innovation positively affects both risk-taking and profitability, and the effect of innovation on profitability works both directly and indirectly; (iii) competition negatively affects risk-taking but positively affects both innovation and profitability, and the effects of competition on risk-taking and profitability work both directly and indirectly; (iv) there is a cascading relationship among market competition and bank innovation, risk-taking, and profitability.

The Joint Determinants of Capital Structure and Stock Rate of Return: A LISREL Model Approach

2019 ◽  
Vol 22 (02) ◽  
pp. 1950013
Author(s):  
Hong-Yi Chen ◽  
Cheng Few Lee ◽  
Tzu Tai
Keyword(s):  
Capital Structure ◽  
Stock Returns ◽  
Structural Equation ◽  
Equation Modeling ◽  
Financial Policy ◽  
Macroeconomic Factors ◽  
Managerial Entrenchment ◽  
Pricing Factors ◽  
Major Factors ◽  
The Capital Structure

We develop a simultaneous determination model of capital structure and stock returns. Specifically, we incorporate the managerial investment autonomy theory into the structural equation modeling with confirmatory factor analysis to jointly determine the capital structure and stock return. Besides attributes introduced in previous studies, we introduce indicators affecting a firm’s financing decision, such as managerial entrenchment, macroeconomic factors, government financial policy, and pricing factors. Empirical results show that stock returns, asset structure, growth, industry classification, uniqueness, volatility, financial rating, profitability, government financial policy, and managerial entrenchment are major factors of the capital structure.

scholarly journals DETERMINANTS OF PROFITABILITY AND FIRM VALUES IN THE MANUFACTURING SECTOR OF FIRMS IN INDONESIA

2018 ◽  
Author(s):  
Hikma Niar
Keyword(s):  
Structural Equation Modeling ◽  
Capital Structure ◽  
Structural Equation ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Investment Decisions ◽  
Equation Modeling ◽  
Observation Data

This study investigates the Determinants of profitability and firm values in the Manufacturing Sector of Firms in Indonesia. A total of 55 companies listed on the Indonesia Stock Exchange were used as samples. Observation data is used from 2014 to 2016. The Structural Equation Modeling Test using analysis of moment structures ver. 22 provides evidence that Investment decisions has a positive and significant effect on profitability but not for firm values. Capital structure has a positive and significant effect on profitability but not for firm values. Company's growth has a positive and significant effect on profitability and firm values and then the last causality is Profitability has a positive and significant effect on firm values

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