scholarly journals Presenting of Indifference Management Model of Education System in Ardabil Province Using Structural Equation Modeling

2016 ◽  
Vol 9 (11) ◽  
pp. 90
Author(s):  
Elham Abolfazli ◽  
Reza Yousefi Saidabadi ◽  
Vahid Fallah
Keyword(s):  
Organizational Climate ◽  
Education System ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Simple Random Sampling ◽  
Equation Modeling ◽  
Great Ability ◽  
And Performance

<p class="apa">The purpose of the present study is to investigate indifference management structural model in education system of Ardabil Province. The research method was integration study using Alli modeling. Statistical society of research was 420 assistant professors of educational science, managers and deputies of Ardabil’ second period of high schools that 383 individuals were selected by simple random sampling. The data collection tool was researcher-made questionnaire. Face and content validity of the questionnaire was confirmed by experts and its Cronbach’s alpha coefficient was obtained as of 0/80. In order to investigate hypothesizes of research, obtained data were transferred to LISREL software to fit Alli model of structural equation and then were analyzed. The obtained findings of the statistical analysis showed that behavior and performance of manager indirectly has a meaningful impact on indifference management variable through employee’ empowerment variables, job satisfaction of employee, organization’s culture, organizational climate and employee’ perception of the organization. Goodness of fit index (GFI) 0/92 and root mean square of residuals latent variables model was RMSEA=0/045. Therefore, the model has a good fit and has a great ability to measure main variables of research.</p>

Building Acquisition Management Capability to Improve Firm Performance in Acquisitions

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Sampling Strategy ◽  
Equation Modeling ◽  
Economic Market ◽  
Strategic Integration ◽  
Management Capability ◽  
Acquisition Management

In the past two decades, the number of cross-border mergers and acquisitions in ASEAN has progressively expanded as the region has become a desired economic market for trade and investment. Therefore, this study aimed to identify the factors contributing to the success of acquisitions by corporations. It investigates the role of acquisition management capability with strategic integration and acquisition. The non-probability sampling strategy was used to collect information from 51 firms. With a five-point Likert scale, a systematic questionnaire was designed to test the latent variables by employing confirmatory factor analysis. The quantitative method of Structural Equation Modeling was used in the analysis. The results show that the structural model had a Goodness of Fit Index value that indicates all three latent variables and independent variables were valid. The findings indicate that acquisition management capability have a central role in advancing the overall integration of the acquiring firm in the ASEAN context.

scholarly journals PEMODELAN STRUKTURAL DARI EMOSI POSITIF SEBAGAI PEMEDIASI TERHADAP PEMBELIAN TIDAK TERENCANA

2015 ◽  
Vol 4 (3) ◽  
pp. 104
Author(s):  
NI WAYAN ARNI YANITA ◽  
KETUT JAYANEGARA ◽  
I PUTU EKA N. KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Emotions ◽  
Goodness Of Fit ◽  
Situational Factors ◽  
Equation Modeling ◽  
Impulse Buying ◽  
Mediation Models

Latent variables are variables that can not be observed directly. Latent variables can be observed with constituent indicators. One of the methods used to analyze the latent variables are Structural Equation Modeling (SEM). This research raised the case of impulse buying to be applied to the SEM method. Impulse buying influenced by the characteristics of the hypermarket, situational factors, the characteristics of the product, promotion and positive emotions. The purpose of this research was to determine the effect dari positive emotions as mediation to impulse buying.The results obtained indicate that positive emotions directly affect the impulse buying of 0.302, promotion directly affects the positive emotions of 0.367, and the promotion of indirect effect to impulse buying of 0.111. So positive emotions can mediate to impulse buying of 0.020. Goodness of fit mediation models not good with value 0.39.

scholarly journals Welfare and Wealth in Iran: Rural and Urban Dichotomies

2019 ◽  
Author(s):  
Sediqe Shafiei ◽  
Shahram Yazdani ◽  
A Hamid Zafarmand ◽  
Mohammad-Pooyan Jadidfard ◽  
sareh Shakerian
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban ◽  
Effective Policy ◽  
Relationship Of

Abstract Objective : Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other , as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Results : The Structural Equation Modeling ( SEM ) method was used to analyze the data and investigate the causal relationship of latent variables. Observed variables and latent variables of the model were analyzed and tested by using AMOS and SPSS (version 21) statistical methods, in two exploratory and confirmatory steps. Wealth and welfare were identified as two separate subjects in the conceptual model and in the final structural model for rural households. Unlike, in the urban community, they were recognized as a single category in the final structural model. The results of this study can provide the clear hints for effective policy making to break the cycle of deprivation and poverty in Iranian rural and urban population.

scholarly journals Role of Organizational Climate in Job Involvement: A Way to Develop the Organizational Commitment of Nursing Staff

2018 ◽  
Vol 23 ◽  
pp. 2515690X1879072
Author(s):  
Rohollah Kalhor ◽  
Omid Khosravizadeh ◽  
Saeideh Moosavi ◽  
Mohammad Heidari ◽  
Hasan Habibi
Keyword(s):  
Organizational Commitment ◽  
Organizational Climate ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Job Involvement ◽  
Teaching Hospitals ◽  
Equation Modeling ◽  
Chi Square ◽  
Confirmatory Factor ◽  
Fit Index

Employees are the most valuable assets of an organization; therefore, it is very important to understand their behavior. In this regard, the present study was carried out in order to examine the effect of organizational climate on job involvement among nurses working in the teaching hospitals of Qazvin Province, Iran. The present descriptive analytical study was done in 2017. To randomly select a specific proportion of nurses from each of Qazvin teaching hospitals, stratified sampling was used. In total, 340 nurses were selected. Data were collected using 3 questionnaires: Halpin and Kraft Organizational Climate Questionnaire, Job Involvement Questionnaire (Kanungo), and Allen and Myer Organizational Commitment Questionnaire. For data analysis, confirmatory factor analysis and structural equation modeling were used applying AMOS-24 software. The results of path analysis showed the effect of organizational climate on the nurses’ job involvement. Moreover, organizational climate influenced organizational commitment through the mediation of job involvement. According to values obtained for degree of freedom based on chi-square, goodness-of-fit index, root mean square error of approximation, and comparative fit index were in the defined range; therefore, the validity of the conceptual model was approved. Based on the results of the present study, managers of health organizations can achieve their goals by understanding the organizational climate of the hospitals and its effect on the employees’ job involvement and discovering strategies needed for organizational commitment improvement.

MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION

2021 ◽  
Vol 14 (2) ◽  
pp. 170-182
Author(s):  
Miftahuddin Miftahuddin ◽  
Retno Wahyuni Putri ◽  
Ichsan Setiawan ◽  
Rina Suryani Oktari
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Partial Least Square ◽  
Least Square ◽  
Sea Surface ◽  
Equation Modeling

Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.

Kontribusi Kepemimpinan dan Kompensasi dalam Meningkatkan Kinerja melalui Motivasi Kerja Karyawan

2021 ◽  
Vol 6 (3) ◽  
pp. 73
Author(s):  
Desianti Desianti ◽  
Rabihatun Idris ◽  
Muklis Kanto ◽  
Munandar Munandar
Keyword(s):  
Structural Equation ◽  
High Performance ◽  
Direct Relationship ◽  
Work Motivation ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Total Sample ◽  
Equation Modeling ◽  
Direct Influence ◽  
And Performance

Exploration of the antecedents of performance with the support of good leadership and compensation as well as the support of high work motivation is the purpose of this study. The quantitative paradigm is an approach in this study that seeks to explore the triggers for high performance, the population in this study is the entire employee at Pt Bank Sulselbar in Makassar as many as 256 people, the sampling technique uses a simple random sampling method with a total sample of 156 people. The analysis used in testing the hypothesis is Structural Equation Modeling (SEM) with the help of WarpPLS Software version, 6.0. The results of this analysis show that there is a direct relationship between leadership constructs that have an influence on performance, compensation also has a direct influence on performance and motivation has a direct influence on performance variables, leadership directly has a direct relationship to performance and compensation also has a positive effect on motivation, Leadership indirectly affects performance through motivation as a mediator, motivation cannot mediate between the relationship between leadership and performance.

scholarly journals Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior

2021 ◽  
Vol 18 (6) ◽  
pp. 3022
Author(s):  
Zezhou Wu ◽  
Mingyang Jiang ◽  
Heng Li ◽  
Xiaochun Luo ◽  
Xiaoying Li
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Reliability And Validity ◽  
Information Modeling ◽  
Equation Modeling ◽  
Critical Factors ◽  
Building Information

In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.

scholarly journals PENGARUH REPUTASI SEBAGAI VARIABEL INTERVENING TERHADAP KINERJA PERUSAHAAN PADA PT.TELKOM KEBUMEN

2018 ◽  
Vol 17 (1) ◽  
pp. 41-53
Author(s):  
Sri Wahyuningsih
Keyword(s):  
Corporate Governance ◽  
Business Ethics ◽  
Social Responsibility ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Future Research ◽  
Telecommunication Service

The purpose of this study is to investigate the influence of social responsibility, etiuka relatives, on the reputation of corporate governance and its impact on the performance of the company PT. Telkom Indonesia Branch Kebumen. The analytical tool used Structural Equation Modeling (SEM). The results of this study show that the reputation of social responsibility affects the reputation accepted. This is indicated by the value of CR = 2.514 and p = 0.012 or significant at ½ α = 0.05 t table = ± 1.980. Thus, the social responsibility variables formed by indicators of ethical codes, economic well-being, contributions and participant experiences have a significant influence on reputation. Further business ethics affects the accepted reputation. This is indicated by the value of CR = 2.872 and p = 0.004 or significant at  ½ α = 0.05 t table = ± 1.980. Thus the business ethics variables formed by the indicators: Product quality, product trials, respect for human dignity, cultural integrity of the customer has an influence on reputation. Corporate governance affects acceptable reputation. This is indicated by the value of CR = 3.241 and p = 0.001 or significant at ½ α = 0.05 t table = ± 1.980. thus corporate governance variables formed by the indicators: Company competence, openness and transparency, policy implementation, corporate policy, confidence in top management, knowledge and ability of human resources. Reputation, effect on company performance accepted. This is indicated by the value of CR = 13.933 and p = 0,000 or significant at ½ α = 0.05 t table = ± 1.980. Thus the reputation variable formed by the Company's Vision indicators, the product offered, the emotional closeness of the customer to the company, the company's financial capability and confidence in the employee. The limitations of this study on the structural model used, this model has been well seen from the test of cofirmatory and goodness-of-fit. but it is better for the company's performance topics to dig deeper into the variables and indicators used. Future research may also consider research objects that will be used not only in telecommunication service companies but can be developed in other business organizations.   Key word: Reputation and Corporate Performance

scholarly journals ANALISIS STRUCTURAL EQUATION MODELING (SEM) DENGAN MULTIPLE GROUP MENGGUNAKAN R

2019 ◽  
Vol 19 (2) ◽  
pp. 85
Author(s):  
Holipah Holipah ◽  
I Made Tirta ◽  
Dian Anggraeni
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Multiple Group ◽  
Indicator Variables ◽  
Group 2 ◽  
Homogeneous Data ◽  
Group 1

Structural Equation Model (SEM) is a statistical technique with simultaneous processing involves measurement errors, indicator variables, and latent variables. SEM is used to test hypotheses that state the relationships between latent variables when latent variables have been assessed through each of the indicator variables. Multiple Group SEM is a basic model analysis that uses more than one sample. This analysis aims to determine whether the components or models of measurement and structural models are invariant for the two sample groups. In this study, the data generated by some requirements. First, the data generated with sample size n = 250. The first generated data is homogeneous data where the measurement model is the same as the structural model in group 1 and group 2, while the second data is non-homogeneous data where the measurement model and the structural model in group 1 and group 2 is not the same. The data was analyzed using the help of the lavaan package available in R to obtain SEM estimation results and Goodness of Fit Model from some data that was formed. From the results of the merger of the two groups, it shows that the invariant of the two models with the largest df (63) which is Fit Mean model states the simplest model. However, the smallest df (48) with Fit.configural model states the most complex model. Keywords: SEM, Multiple Group, R Program

scholarly journals Differentiation strategy, firm structure and performance of star rated hotels

2019 ◽  
Vol 8 (6) ◽  
pp. 08-14
Author(s):  
Jane Nyokabi Njuguna ◽  
Juliana Namada ◽  
Maina Muchara
Keyword(s):  
Structural Equation ◽  
Simple Random Sampling ◽  
Equation Modeling ◽  
Firm Structure ◽  
Differentiation Strategy ◽  
Positive Effects ◽  
General Managers ◽  
Multi Stage ◽  
And Performance ◽  
Hotel Managers

It is estimated that emerging economies will get over 1 billion international tourists by the year 2030. Strategic management researchers have severally recommended credible research in the area of strategy-structure coalignment in the hospitality industry. The purpose of this study was to analyze the influence of differentiation strategy-firm structure coalignment on performance of star rated hotels in Kenya. This study adopted positivism research philosophy and a descriptive-correlative research design. The population consisted of general managers and functional managers from Kenya’s three, four and five star rated vacation and town hotels as at 2018. Multi-stage sampling that included proportionate stratified sampling and simple random sampling was used. 267 hotel managers were sampled out of which 253 managers responded. The extent to which the hotels were pursuing differentiation strategy was measured by an analysis of the responses to the multi-item Likert scale questionnaire. Structural equation modeling was used for hypothesis testing. The study concluded that differentiation strategy-firm structure coalignment has no significant influence on performance of star rated hotels in Kenya. The study however revealed that differentiation strategy directly and positively affects hotel performance. This study recommends hotel managers to pursue a differentiation strategy that sets their hotel apart from others as this has direct positive effects on the performance of hotels.

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