Component-based Structural Equation Modeling Research Articles

The Influence of Building Quality, Strategic Location, and Price on the Decision to Purchase Subsidized Housing in the Cileungsi Area

This study aims to present a comprehensive depiction of the factors influencing the decision-making process regarding the purchase of subsidized housing, focusing specifically on variables such as building quality, strategic location, and price. The research objectives include identifying the key variables impacting the choice of acquiring subsidized housing in the Cileungsi region through a quantitative descriptive approach. Utilizing purposive sampling, the study surveyed one hundred local residents who recently acquired homes through government assistance programs. Structural Equation Modeling (SEM) employing variance-based methods or component-based structural equation modeling, specifically Partial Least Squares (PLS), was utilized for data analysis. The anticipated outcomes of this investigation are expected to contribute significantly to understanding consumer behavior in the context of subsidized housing purchases in Cileungsi. Moreover, the application of PLS analysis methods is poised to provide an in-depth comprehension of the interrelationships among variables within the tested model and furnish strategic recommendations for developers of subsidized housing and pertinent stakeholders to enhance product appeal.

Pengaruh Kualitas Produk Dan Brand Trust Terhadap Keputusan Pembelian Air Minum Dalam Kemasan Merek Club

Drinking water is a basic need that must be fulfilled because more than half of the composition of the human body is water. However, the quality of water currently is not suitable for consumption because it contains many harmful bacteria. Another alternative to meet the need for drinking water is bottled drinking water. Seeing the large number of needs for AMDK, it should be in line with the increasing sales of various AMDK producing companies. However, the Club has experienced decreased sales fluctuations compared to other competitor companies. So, this study aims to determine the effect of product quality and brand trust on the decision to purchase Club Brand Bottled Drinking Water. The research was conducted online and data collection was carried out by distributing questionnaires via the g-form. The technique used to take samples was purposive sampling with a population of 98 respondents. The analysis technique used is component-based Structural Equation Modeling (SEM) method using tools Patrial Least Square (PLS). The results of the hypothesis testing of this study show that the product quality variable and Brand Trust variable have a significant and positive direction influence on the decision to purchase Club Brand Bottled Drinking Water.

Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation

Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation

Development of Aswaja An-Nahdliyah-based caring model to improve performance in patient safety goals

Introduction: The efforts to improve quality and safe health services for patients have been carried out, However, the adverse event is still occurring. This study aims to develop a caring model based on ASWAJA An-Nahdliyah To Improve Performance In Patient Safety Goals. Methods: This study used a cross-sectional approach to 123 nurses, taken by cluster-random sampling. The research instrument is a questionnaire. Data analysis using Structural Equation Modeling (SEM) based on variance or component-based SEM is called partial least square (PLS). The development of the ASWAJA An-Nahdliyah-based caring model was carried out after a path analysis study and the formulation of strategic issues through focus group discussions (FGD) and expert discussions. Results: There is an effect on individual characteristics of nurses, patient characteristics, and caring ASWAJA An-Nahdliyah on performance in patient safety goals (t statistic >1.96 and p-value 0.005). The resulting coefficient is positive 0.561, meaning that the higher the caring value of ASWAJA Annahdiyah tends to improve performance. Conclusion: The ASWAJA Annahdliyah-based Caring Development Model has a major effect on performance in patient safety goals. The individual characteristics of nurses are the biggest factors that affect ASWAJA Annahdiyah-based caring so strengthening the characteristics of nurses is very much needed in order to improve performance in patient safety goals.

The Effect of Customer Engagement and Social Media Marketing on Brand Loyalty on Shopee Application User

Competition between marketplaces is competing to provide the best platform for online shopping. Therefore, companies need to pay attention to variable such as consumer engagement and social media marketing which attract users and influence customer loyalty so that they continue to be loyal to use their platform. his study aims to investigate the influence of consumer engagement and social media marketing on brand loyalty among Shopee app users in Surabaya. This research was conducted using a quantitative approach and involved 96 respondents as the sample. The sample was selected using purposive sampling method with snowball sampling approach. The data used consisted of primary data and secondary data. The analysis method applied is component-based structural equation modeling (SEM), using the partial least square (PLS) analysis tool with validity test, reliability test and hypothesis testing.The results of this study prove that: (1) Customer Engagement has a positive and significant effect on Brand Loyalty. (2) Social Media Marketing has a positive and significant effect on Brand Loyalty.

Beyond Factors: IGSCA-SEM’s Application in The Context of Cannabis Tourism

Structural Equation Modeling (SEM) is a statistical technique that is used to model the relationships among hypothetical constructs investigated by researchers. SEM can be broadly classified into two main approaches: factor-based (or covariance-based) SEM and component-based (or variance-based) SEM. Factor-based SEM is particularly well-suited for analyzing constructs that resemble factors, while component-based SEM is designed for composites or components. Historically, in the field of tourism research, there has been a tendency to treat factor models as a statistical proxy for all types of hypothetical constructs. However, when the hypothetical construct is incorrectly modeled as a factor instead of a composite, which is its appropriate representation, it can result in bias in parameter estimates. The information presented in this study highlights that this practice has persisted even in top-tier tourism journals, including articles published in the ABAC journal. Contemporary practices that align with the current research landscape in tourism are synthesized. These practices acknowledge that hypothetical constructs can either be factors or components. To illustrate this, a hypothetical example related to cannabis tourism is used, modelling it using mixed constructs based on IGSCA-SEM. Researchers are consequently encouraged to employ SEM, particularly when aiming to publish in the ABAC journal, to enhance their methodological rigor by adopting the recommended practices outlined.

The Potential of Budget Participation and Dalihan Natolu Leadership Style to Improve Community Welfare in the Toba Caldera Tourism Geography Area

Objective: This research analyzes the determinants of budgetary participation's effect on financial performance through Dalihan Natolu's leadership style in 4 districts in the Toba Caldera region and conducts a descriptive economic analysis of social and economic indicators in 7 districts post-Regional Autonomy and Fiscal Decentralization. Analyze village category development using the village development index (IDM) in 7 Toba Caldera districts. Estimating economic development parameters in 7 Toba Caldera districts in North Sumatra. Method: This study uses a quantitative method with descriptive analysis. Descriptive statistical analysis in this study was carried out using frequency distribution analysis and inferential statistical analysis including: evaluation of the assumptions of the structure equation model (SEM), SEM analysis, model fit test and hypothesis testing. The data analysis technique in this study uses Partial Least Square (PLS). PLS is a Structural Equation Modeling (SEM) equation model with an approach based on variance or component-based structural equation modeling. This research was conducted in 4 (four) administrative districts located around the Lake Toba Tourism Area which in their kinship life absolutely adhere to the local wisdom of Dalihan Natolu, namely Toba Regency, Samosir Regency, North Tapanuli Regency, Humbang Hasundutan Regency. Conclusion : This quantitative study's findings Budget Participation Factor also affects Financial Performance moderated by Dahlian Natolu's Leadership Style, as shown by t statistics > t table (3,961 > 2,032). To strengthen this analysis, you can also use the P Value, with the condition p < 0.05, which shows 0.000 < 0.05. In 2019, the Human Development Index in 7 Toba Caldera Region Regencies measured Life Expectancy (UHH), Average Length of Schooling (RLS), and Expenditure Per Capita. In 2019–2020, the Toba Caldera Region's Gross Regional Domestic Product (GRDP) is stable and led by Agriculture, Forestry & Fisheries, Wholesale and Retail Trade, and Industrial Management. Karo Regency has the highest HDI and Humbang Ha Anglean the lowest. The comparative IPD for that year increased in 7 Toba Caldera Region Regencies from 2014 to 2018. Toba Caldera districts' Human Development Index (IPM) increases somewhat with GRDP per capita.

Study of Regularized Generalized Structured Component Analysis to Overcome Multicollinearity in Component-Based SEM

Multicollinearity is one of the issues that may arise in the analysis of Structural Equation Modeling (SEM). An indication of multicollinearity is the high correlation between latent variables and the correlation between indicators forming the latent construct. Multicollinearity causes the interpretation of SEM analysis to be inappropriate. In this study, Regularized generalized structured component analysis (RGSCA) is used as a solution to overcome multicollinearity in component-based SEM. The research aims to apply RGSCA to East Java poverty data, which contains multicollinearity. The first step is analyze data using GSCA, however the weights of and indicators are not significant, and the three estimated path coefficients are also not significant at the 95% confidence interval. The high correlation value between the indicators further indicates the presence of multicollinearity. Futhermore, the data are analyzed using RGSCA with ridge parameters namely which provides minimum prediction error (CV). The results of the analysis reveal that all estimation of loading factors, weights and path coefficients are significant at 95% confidence intervals. The interpretation of the path coefficient results suggests that education, health, and economy significantly influence poverty, while health and economy also have a significant effect on education, and health additionally exhibits a significant effect on economy. The overall model evaluation results obtained a FIT value of 0.662, indicating that the model can explain about 66.2% of the data variation.

The Effect of Brand Identity and Brand Preference on Starbucks Repurchase Interest in Bekasi City

Starbucks is a premium coffee shop that has been present in Indonesia for 20 years and is part of the lifestyle of urban communities in Indonesia. The aim of this research, firstly, is to determine the influence of brand identity on repurchase intention. Then, to find out the influence of brand preference on repurchase intention. This study uses a component-based SEM (Structural Equation Modeling) using PLS (Partial Least Square) to analyze the data. The results of the study show that Brand Identity and Brand Preference contribute to repurchasing interest in Starbucks products in the city of Bekasi. Therefore, the better the two variables formed by Starbucks for consumers, the better the level of interest in repurchasing Starbucks products in Bekasi City.

DETERMINANT OF INVESTMENT DECISIONS: EVIDENCE FROM GEN Z IN INDONESIA

This study is aimed to determine the effect of stock influencers and consumer trust on investment decisions through perceived risk as moderating. The research in this study was a quantitative research used a non-probability sampling technique, by applying the quota sampling method to take a sample of 100 respondents. The data analysis technique in this study used Partial Least Square (PLS). PLS is a Structural Equation Model (SEM) equation model using an approach based on variance or component-based structural equation modeling. The results of this study are: (1) Stock influencers have a positive and significant effect on consumer trust. (2) Consumer trust has a positive and significant effect on investment decisions. (3) Consumer trust has a positive and significant effect on investment decisions. (4) Consumer trust has a positive and significant effect on investment decisions by moderating perceived risk. This shows that perceived risk can moderate the effect that the better or the worse a person's consumer trust will be, will affect one's investment decisions with perceived risk as moderating. Based on this description, further researchers can use qualitative approaches such as interviews to provide a stronger understanding of the factors that can influence investment decisions. Likewise for students, it is hoped that they can increase literacy regarding perceived risk so that they make decisions to invest more accurately.

The Influence of Lifestyle, Promotion, and Product Quality on Purchasing Decisions on Nu Skin TR90 Products in Surabaya.

This study aims to analyze the effect of Lifestyle, Promotion, and Product Quality on purchasing decisions on Nu Skin TR90 products in Surabaya. This study used a research tool or instrument in a questionnaire. In this study, a sample collection technique was used using the purposive sampling method. The total number of indicators in this study totaled 17 indicators and the parameters in the sample measurement to be used were 7. Data analysis used in this study used the component-based Structural Equation Modeling (SEM) method with using the Partial Least Square (PLS) analysis tool. Based on the results of the research that has been done, it is found that the Lifestyle variable has a non-significant effect on purchasing decisions. Promotion variable has a significant effect on purchasing decisions. Product Quality variable has a significant effect on purchasing decisions.

The Effect of Product Quality and Price Perception on Purchasing Decisions for Indihome Providers in Sidoarjo

The goal of this study was to ascertain and examine how customer perceptions of product quality and pricing influenced purchases from Sidoarjo’sIndihome providers. The dependent variable in this study is the purchase decision, while the independent variables are perceived product quality and price. This research approach employs quantitative research methodologies. 65 Indihome Provider customers in Sidoarjo served as the study’s sample population. by distributing questionnaires, sampling will be done using a non-probability sampling method and a purposive sampling methodology. The partial least squares (PLS) analytical tool was used for the component-based structural equation modeling (SEM) method of data analysis. According to the study’s findings, product perceptions of both quality and value influence Indihome Providers’ in Sidoarjodecisions to buy.

The Effect of Product Quality and Price Perception on Purchasing Decisions for Tango Wafers in Surabaya

The purpose of this study was to determine and analyze the effect of product quality and price perception on purchasing decisions for Wafer Tango in Surabaya. This research method uses quantitative research methods where the dependent variable is purchasing decisions and the independent variables in this study are product quality and price perception. The number of samples in this study were 72 Wafer Tango consumers in Surabaya. Sampling using non probability sampling method with accidental sampling technique through distributing questionnaires. Data analysis was carried out using the component-based Structural Equation Modeling (SEM) method using the Partial Least Square (PLS) analysis tool. The results of this study indicate that product quality and price perception have a positive impact on purchasing decisions for Wafer Tango in Surabaya.

Thriving in management innovation: an institutional perspective

PurposeManagement innovation is one of the most vital practices underpinning economic growth and is considered to be one of the fundamental components of gaining a superior business position in market conditions that are continually fluctuating. Drawing upon neo-institutional theory as well as absorptive capacity, the current empirical study unpacks the relationships between external institutional forces (i.e. regulative, mimetic and normative pressures) and management innovation through investigating the role of absorptive capacity as a mediator.Design/methodology/approachThe research model is tested using survey data from Australian organisations. The study used Partial Least Squares (PLS), a component-based structural equation modelling (SEM) method, in order to perform the data analysis.FindingsThe results confirm that the various dimensions of institutional forces have diverse influences on management innovation. The authors found mimetic and normative pressures have positive influences on realised and potential absorptive capacity of an organisation. In addition, realised absorptive capacity mediates the relations between institutional forces and management innovation.Originality/valueDissimilar to preceding studies, this research shows that organisations not only innovate to pursue higher performance but sometimes strive for legitimacy. In addition, the significant associations between absorptive capacity and management innovation and the mediation role clearly signify that institutional forces and absorptive capacity play significant roles in the adoption of management innovation.

Member (co)creativity in open innovation communities

PurposeOrganizations increasingly seek to leverage open innovation (OI) communities to generate and advance novel ideas through collaborative innovation efforts of their members. However, success is far from guaranteed, as OI communities can only thrive depending on individual and collective member contributions. This study aims to examine individual and social determinants that encourage members to first generate novel ideas, then collaboratively advance these ideas through cocreation with other members, a process this study terms member “(co)creativity.”Design/methodology/approachA survey design was used to collect data from 301 OI community members, which this study analyzed through component-based structural equation modeling using the partial least squares (PLS) method.FindingsDrawing on componential theory of creativity and innovation, this study demonstrates the role of members’ creative identity, creative self-efficacy and domain-relevant knowledge as determinants for their novel idea generation. While novel idea generation leads to members’ participation in collaborative innovation, this relationship is partially mediated by members’ willingness to cocreate in this process. This process is further conditioned by social determinants and leads to members’ creative self-enrichment as a result of collaborating in OI communities.Research limitations/implicationsTaking a member perspective, this study advances marketing innovation theorizing by investigating critical determinants of effective OI communities, informing managers about success factors that promote collaborative innovation in OI communities.Practical implicationsThis helps overcome rather reductionist innovation models and highlights interdependencies between the individual and social determinants from a theoretical perspective while helping managers better understand important OI member profiles and social aspects that can foster the success of OI communities.Originality/valueTo the best of the authors’ knowledge, this study is the first to examine the notion of member (co)creativity in OI communities and its determinants for effective collaborative innovation. This study also demonstrates self-enrichment as an important outcome of (co)creativity.

Allocation of time and subjective well-being of female farmers in Songan village, Bali, Indonesia

This study aimed to determine how female farmers in Songan Village allocate their time to earn a living and to interpret the contribution of self-esteem, social support, gender equality, and job satisfaction to their subjective well-being. The study employed an explanatory research design and structural equation modeling (SEM) analysis. As an alternative to covariance-based SEM, variance- or component-based SEM, namely the partial least squares (PLS) method, was utilized. The research sample consisted of 201 respondents selected through proportional random sampling. The study found that 1) self-esteem and social support have a direct positive effect on the job satisfaction of female farmers in Songan Village, Bali, but the gender equality variable does not; 2) self-esteem, social support, gender equality, and job satisfaction have a direct positive effect on the subjective welfare of female farmers in Songan Village, Bali; and 3) self-esteem and social support have an indirect effect on the subjective welfare of female farmers in Songan Village, Bali. The female farmers of Songan Village define subjective happiness/well-being in simple terms, asserting that if they are able to meet the needs of their families (meyadnya and menyame braye), they are already happy/have achieved subjective well-being. Women with high self-esteem feel confident that they contribute a significant portion of the family's income. Therefore, the government should pay more attention to the development of women's knowledge and skills, particularly in the agricultural sector.

Moderation of Intellectual Intelligence on the Effect of Individual Behavior, Modern Living Environment, and Financial Well-Being on Women's Financial Literacy Capacity

Purpose: This study aims to prove that the moderation of intellectual intelligence positively affects individual behavior, the modern living environment, and the financial well-being of women's financial literacy capacity.
 Method: The sample in this study consisted of 328 respondents in Indonesia. Data quality testing in this study used Partial Least Square (PLS) analysis, a Structural Equation Modeling (SEM) equation model with a variance-based or component-based structural equation modeling approach.
 Result: The study results show that intellectual intelligence cannot moderate the effect of individual behavior on women's financial literacy capacity, but intellectual intelligence can moderate the effect of the modern living environment and financial well-being on women's financial literacy capacity. High intellectual intelligence and utilizing the high intellectual intelligence will increase individual behavior, affecting women's financial literacy capacity. The results of this study recommend that women having good individual behavior and financial well-being in the modern era reinforced by high intellectual intelligence can encourage individuals in Indonesia to increase women's financial literacy capacity.

Developing a model of marital adjustment based on self-compassion, marital intimacy and job satisfaction in married female teachers

Objective: The present study aimed to evaluate the marital adjustment model based on the factors of marital intimacy, self-compassion and job satisfaction. The research design was a correlation of component-based structural equation modeling. Method: The statistical population was all married female teachers of high schools in Khorramabad city in 2021 -2022. The sampling method was a multi-stage cluster sampling in which 100 married female teachers responded to the scales of Dyadic Adjustment Scale (DAS), Marital Intimacy Scale (MIS), Self-Compassion Scale (SCS), and Minnesota Satisfaction Questionnaire (MSQ). In order to analyze the data, SPSS 23 software was used for descriptive statistics, and PLS software was used to evaluate the model's fit. Results: The research findings showed that the model has a high fit and that the predictive power of the model is appropriate. Among the variables, marital intimacy, with a factor loading of 0.68, has the greatest impact on marital adjustment, and the variables of self-compassion and job satisfaction, with factor loadings of 0.165 and 0.160, are in the second and third positions, respectively. Conclusion: The results showed that self-learning variables marital intimacy and job satisfaction positively and significantly affect marital adjustment.

Structural Equation Modelling (SEM) in Research: Narrative Literature Review

The structural equation modelling (SEM) method has stronger predicting power than path analysis and multiple regression because SEM is able to analyze at the deepest level the variables or constructs studied. This literature review aimed to describe the use of structural equation modelling in research. In general, SEM can be used to analyze research models that have several independent (exogenous) and dependent (endogenous) variables, as well as moderating or intervening variables. SEM provides several benefits and advantages for researchers, including building research models with many variables, examining variables or constructs that cannot be observed or cannot be measured directly (unobserved), testing measurement errors (measurement errors) for observed variables or constructs ( observed) and confirmatory factor analysis. Broadly speaking, SEM methods can be classified into two types, namely covariance-based structural equation modelling (CB-SEM) and variance or component-based SEM (VB-SEM), which includes partial least squares (PLS) and generalized structured component analysis (GSCA). This literature review aimed to describe the use of structural equation modelling in research.

Pengaruh Brand Image dan Persepsi Harga terhadap Keputusan Pembelian Produk Iphone di Wilayah Gubeng Surabaya

The rapid development of today's technological era affects the decision of people who want to buy goods to consider a brand first because of the image that is already attached to the brand, such as quality and price. The number of smartphone products that enter the market for sale today makes consumers make several considerations when choosing a smartphone. Formation of a good iPhone brand image, consumers will consider making purchases on iPhone products, therefore even though the data above shows that the iPhone in 2019-2020 has declined, it does not affect consumer decisions to purchase products. Iphone products have a very good brand image, therefore the price is not a problem for consumers to make purchasing decisions. This study uses a questionnaire method to take samples, researchers will examine iPhone customers in Gubeng Surabaya more than once. Analysis of the data used in this study using the component-based Structural Equation Modeling (SEM) method using Partial Least Square (PLS) analysis tool. The choice of using the PLS analysis tool is because it is widely used for causal-predictive analysis and is an appropriate technique used in prediction applications and theory development in this study. This study obtained the results that brand image and price perception have a positive and significant influence on purchasing decisions on iPhone products in Surabaya.