scholarly journals Hybrid Model Of Structural Equation Modeling Pls And Rfm (Recency, Frequency And Monetary) Model To Improve Bank Average Balance

2021 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Jerry Heikal ◽  
Vitto Rialialie ◽  
Deva Rivelino ◽  
Ign Agus Supriyono
Keyword(s):  
Structural Equation Modeling ◽  
Marketing Strategy ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Wide Spread ◽  
Monetary Model ◽  
Customer Segment ◽  
Different Levels ◽  
Financial Result

As a business players, entrepreneurs certainly need bank products and supports that provide fast and easy services with wide-spread network in Indonesia. In this study, Structural Equation Model (SEM) identify the transaction that influence the average balance. The objects of the RFM segmentation on the selected transaction is to understand customer segment score and build a marketing strategy for each segment with different levels of loyalty for the Financial result of higher Average Balance.  The segmentation results found three driver categories, High Recency, Mid Recency and Low Recency category. High Recency is considered Active customer where campaign category can be cross/up-selling and promotional accordingly with their Frequency and Monetary category. Mid Recency category is considered Risky customer where campaign category can be retention program accordingly with their Frequency and Monetary. Last, Low Recency is considered already Churn customer where campaign category is to conduct reactivation.

scholarly journals Structural Analysis of the Equation Model on Store Atmosphere towards Hedonic Value and Consumer Impulsive Buying (Study at Majapahit Food Center)

Jurnal Varian ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 61-70
Author(s):  
Rini Anggriani ◽  
Anthony Anggrawan ◽  
Irwan Cahyadi
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Model ◽  
Test Reliability ◽  
Equation Modeling ◽  
Hedonic Value ◽  
Impulsive Buying ◽  
Food Center

This study aims to determine the analysis of Structural Equation Modeling (SEM) of store atmosphere on Hedonic Value and Impulsive Buying of Consumers at the Majapahit Food Center. This type of research uses causality research with a sample of respondents who are consumers who visited at Majapahit Food Center Mataram. The sampling technique used the accidental sampling technique. The study population was 100 visitors to the Majapahit Food Center. Sampling using the accidental sampling technique. The data collection technique used a questionnaire with a Likert scale measuring instrument. The data analysis method used is a validity test, reliability test, using SPSS, and data analysis using Structural Equation Modeling (SEM) with AMOS. The results of the study stated that the store atmosphere has a positive and significant effect on Hedonic Value and the Store Atmosphere has a positive and significant effect on Impulsive Buying and Hedonic Value has a positive and significant effect on Impulsive Buying Consumers in the Majapahit Food Center Study.

scholarly journals Structural Equation Modeling (SEM)-Based Meta-Analysis

2021 ◽  
Author(s):  
Mike W.-L. Cheung
Keyword(s):  
Social Sciences ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Meta Analysis ◽  
Equation Model ◽  
Equation Modeling ◽  
Future Directions ◽  
Software Packages ◽  
Meta Analyses

Structural equation modeling (SEM) and meta-analysis are two popular techniques in the behavioral, medical, and social sciences. They have their own research communities, terminologies, models, software packages, and even journals. This chapter introduces SEM-based meta-analysis, an approach to conduct meta-analyses using the SEM framework. By conceptualizing studies in a meta-analysis as subjects in a structural equation model, univariate, multivariate, and three-level meta-analyses can be fitted as structural equation models using definition variables. We will review fixed-, random-, and mixed-effects models using the SEM framework. Examples will be used to illustrate the procedures using the metaSEM and OpenMx packages in R. This chapter closes with a discussion of some future directions for research.

scholarly journals Tourism sector, Travel agencies, and Transport Suppliers: Comparison of Different Estimators in the Structural Equation Modeling

2015 ◽  
Vol 6 (1) ◽  
pp. 11-24 ◽  
Author(s):  
Nataša Kovačić ◽  
Darja Topolšek ◽  
Dejan Dragan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Model ◽  
Estimation Methods ◽  
Equation Modeling ◽  
Estimation Of Parameters ◽  
Confirmatory Factor Analyses ◽  
Estimated Parameters ◽  
Tourism Sector ◽  
Travel Agencies

Abstract The paper addresses the effect of external integration (EI) with transport suppliers on the efficiency of travel agencies in the tourism sector supply chains. The main aim is the comparison of different estimation methods used in the structural equation modeling (SEM), applied to discover possible relationships between EIs and efficiencies. The latter are calculated by the means of data envelopment analysis (DEA). While designing the structural equation model, the exploratory and confirmatory factor analyses are also used as preliminary statistical procedures. For the estimation of parameters of SEM model, three different methods are explained, analyzed and compared: maximum likelihood (ML) method, Bayesian Markov Chain Monte Carlo (BMCMC) method, and unweighted least squares (ULS) method. The study reveals that all estimation methods calculate comparable estimated parameters. The results also give an evidence of good model fit performance. Besides, the research confirms that the amplified external integration with transport providers leads to increased efficiency of travel agencies, which might be a very interesting finding for the operational management.

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 A Structural Equation Model of CSR and Performance: Mediation by Innovation and Productivity

2016 ◽  
Vol 6 (2) ◽  
pp. 139 ◽  
Author(s):  
Khalid M. Al-Shuaibi
Keyword(s):  
Structural Equation Modeling ◽  
Theoretical Model ◽  
Structural Equation ◽  
Business Case ◽  
Equation Model ◽  
Equation Modeling ◽  
Mediating Factors ◽  
Managerial Implications ◽  
Performance Dimensions ◽  
And Performance

<p class="Abstract">This study has explored the role of Innovation and productivity as mediating factors between Corporate Social Responsibility (CSR) and firm’s Performance relationship. The objectives of this study are to build and test a theoretical model to identify the mediating factors in the linkage between CSR and performance.The theoretical model (CIPP Model) is deduced using strategic paradigm of literature. It consists of CSR, Innovation, Productivity, and Performance dimensions. Furthermore, several hypotheses were generated to examine the model. Structural Equation Modeling (SEM) is employed to test the model using data from CSR practicing firms 197 from Saudi Arabia. Confirmatory Factor Analysis (CFA) is performed followed by Structural Equation Modeling to examine the model. The results generally support the hypothesized model with research and managerial implications. The mediation of Innovation along with productivity in CSR linkage to performance isa major contribution to the literature, which may help to explore the black box in the relationship of CSR with performance. Besides proving the business case for the CSR in general, it also advocates the adoption of CSR practices by firms and MNEs operating in the developing countries, as it may enhance innovation and productivity leading to their increased financial performance. This model would be practical and useful for business managers that seek a competitive solution for succeeding in a business crisis and work in the settings of international business.</p>

scholarly journals Efektivitas Komunikasi Interpersonal Pelatih dalam Membentuk Karakter Siswa Sekolah Sepakbola di Kota Palembang

2020 ◽  
Vol 1 (2) ◽  
pp. 1-16
Author(s):  
Sunarto Sunarto ◽  
Ratu Mutialela Caropeboka
Keyword(s):  
Structural Equation Modeling ◽  
Statistical Analysis ◽  
Interpersonal Communication ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Communication Effectiveness ◽  
School Students ◽  
Character Building ◽  
Descriptive Statistical Analysis

This study aims to analyze the effectiveness of interpersonal communication between trainers and students in shaping student character. The trainer's interpersonal communication effectiveness variables include: material, method, and time; while the student character variables are limited to: religious, honest, hard work, disciplined, and nationalist. Data analysis in this study used descriptive statistical analysis and inferential analysis. Descriptive statistical analysis is carried out to present research data in the form of tables or graphs, while inferential statistical analysis uses Structural Equation Modeling (SEM), which functions to test research hypotheses and various assumptions that must be met. The results of the study based on the statistical analysis of the structural equation model (Structural Equation Modeling) obtained a t-value of 4.56 > 1.96 and the Standardized Solution of 0.50. This means that it is concluded that the effectiveness of coach interpersonal communication has a positive and significant effect in shaping the character of football school students in the city of Palembang. The effectiveness of the coach's interpersonal communication has a direct effect of 50 percent in shaping the character of students. The higher the effectiveness of interpersonal communication between trainers and students, the more it will improve the character building of students, so that later students with religious, honest, hard-working, disciplined and nationalist characters are formed based on Pancasila.

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.

scholarly journals MODEL PENINGKATAN LOYALITAS KERJA DOSEN PTS MENGGUNAKAN STRUCTURAL EQUATION MODELING

2019 ◽  
Vol 10 (2) ◽  
pp. 179-192
Author(s):  
Syarifahmauli ◽  
Eliana
Keyword(s):  
Structural Equation Modeling ◽  
Work Environment ◽  
Structural Equation ◽  
Private University ◽  
Equation Model ◽  
Equation Modeling ◽  
Environment Quality ◽  
Main Instrument ◽  
The University

This study aims to find a model for increasing the lecturers work loyalty of private university by using Structural Equation Modeling. The research sample was 150 lecturers of five private universities in Banda Aceh. The questionnaire is the main instrument for data collection. Furthermore, the data were analyzed using a structural equation model (SEM) operationalized with AMOS 21. The study revealed that lecturer work loyalty was positively and significantly affected by job satisfaction and their assessment of rewards and work environment. Therefore, an increase in lecturer work loyalty can be done through university foundation policy intervention in increasing rewards and improving the work environment quality of the university.

scholarly journals Perceived Risk of Genetically Modified Foods Among Residents in Xi’an, China: A Structural Equation Modeling Approach

2019 ◽  
Vol 16 (4) ◽  
pp. 574 ◽  
Author(s):  
Wenjing Zhang ◽  
Jianhong Xue ◽  
Henk Folmer ◽  
Khadim Hussain
Keyword(s):  
Structural Equation Modeling ◽  
Perceived Risk ◽  
Structural Equation ◽  
Genetically Modified ◽  
Scientific Information ◽  
Equation Model ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Modeling Approach ◽  
Gm Foods

This paper applies a structural equation modeling approach to study the formation of consumers’ perceived health risk of genetically modified (GM) foods based on a cross-sectional dataset of 508 consumers in Xi’an, China. The results indicate a high percentage of respondents who believe that GM foods might threaten human health. The estimated structural equation model shows that males, older people, respondents with higher income, those with better educational attainment, and those with family members who need special care have higher perceived risks of GM foods. Effective risk communication is necessary to provide consumers with scientific information about GM foods in order to facilitate their understanding of the actual risks of GM foods.

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.

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