Structural Equation Modeling Method Research Articles

Exploring the acceptance of virtual reality training systems among construction workers: a combined structural equation modeling and artificial neural network approach

Virtual Reality Training System (VRTS) has been verified effective in safety training in the construction field. However, in China, it is not widely used as a regular training tool. Among all the reasons, the acceptance level of construction workers (CWs) has the decisive impact on the promotion of VRTS. In view of this, this study is devoted to constructing a training model of CWs’ acceptance level of VRTS training that integrates the technology acceptance level model with the theory of planned behavior. What’s more, this paper innovatively introduces three crucial elements of external influences, namely, risk perception (RP), safety climate (SC) and self-efficacy (SE). In order to more accurately figure out the linear and nonlinear relationship between every structure and the factors of CWs’ acceptance level, 528 participating CWs in this study filled in structured questionnaires, through the data of which the analyzing process uses structural equation model and artificial neural network two-stage analysis method. Based on the analyzing results of the study, this paper put forward a series of specific strategies and suggestions to significantly promote the acceptance level of CWs to VRTS training considering the designment, the enterprises and the government.

An Overview of Infrastructure, Corporate Involvement, Financing, and Conservation in the National Strategic Food Estate Project in Siria-Ria Village, Pollung District, Indonesia

This study investigates the role of infrastructure, corporate involvement, financing, and conservation in the success of the National Strategic Food Estate Project in Siria-Ria Village, Indonesia. Using data from 50 respondents (out of a total of 93 eligible participants), Structural Equation Modeling (SEM) and Partial Least Squares (PLS) methods were applied to evaluate the project's performance. The findings reveal that infrastructure (path coefficient = 0.369, p < 0.01) and financing (path coefficient = 0.437, p < 0.001) have significant positive effects on the project's success. Corporate involvement (path coefficient = 0.258, p = 0.054) shows a positive but marginal effect, while conservation (path coefficient = 0.110, p = 0.326) demonstrates no significant short-term impact. The study underscores the importance of improving infrastructure, financing schemes, and corporate partnerships to ensure project success. Acronyms RPJMN (National Medium-Term Development Plan) and PSN (National Strategic Project) are critical in understanding the context of Indonesia's food security agenda.

Examining the Impact of ict Use and Related Attitudes on Students’ Achievements in Science Using the pls-sem Model

Abstract Investigations were conducted into the relationships between science achievement and ict use in and out of the classroom, as well as the mediating effects of students’ interest in and perceptions of their ict proficiency. The primary focus of this study has been the association between ict and scientific achievement among Singaporean students as measured by the Programme for International Student Assessment (pisa) 2018. This study examined pisa 2018 data using partial least squares structural equation modeling (pls-sem) to evaluate the effect of ict use on students’ achievements in science. Complex cause-and-effect relationships in path models with latent variables can be estimated using the structural equation modeling method known as pls-sem. 6,676 15-year-old Singaporean students who participated in the 2018 Programme for International Student Assessment (pisa) were examined. Students’ interest in ict, their assessment of their ict competency, and their accomplishment in science were found to be correlated with how they used ict both inside and outside of the classroom. The findings also imply that the association between ict use and science accomplishment may be mediated by students’ perceived ict proficiency and interest. This research can contribute to advancing the theoretical knowledge of technology, learning, and the cultural environment, in addition to practical ict implementations in scientific classes that consider the variances in ict affects.

Response shift results of quantitative research using patient-reported outcome measures: a meta-regression analysis.

Our objectives were to identify characteristics of response shift studies using patient-reported outcomes (PROMs) that explain variability in (1) the detection and (2) the magnitude of response shift effects. We conducted a systematic review of quantitative studies published before June 2023. First, two-level multivariable logistic regression models (effect- and sample-levels) were used to explain variability in the probability of finding a response shift effect. Second, variability in effect sizes (standardized mean differences) was investigated with 3-level meta-regression models (participant-, effect- and sample-levels). Explanatory variables identified via the purposeful selection methodology included response shift method and type, and population-, study design-, PROM- and study-quality characteristics. First, logistic regression analysis of 5597 effects from 206 samples in 171 studies identified variables explaining 41.5% of the effect-level variance, while no variables explained sample-level variance. The average probability of response shift detection is 0.20 (95% CI: 0.17-0.28). Variation in detection was predominantly explained by response shift methods and type (recalibration vs. reprioritization/reconceptualization). Second, effect sizes were analyzed for 769 effects from 114 samples and 96 studies based on the then-test and structural equation modeling methods. Meta-regression analysis identified variables explaining 11.6% of the effect-level variance and 26.4% of the sample-level variance, with an average effect size of 0.30 (95% CI: 0.26-0.34). Response shift detection is influenced by study design and methods. Insights into the variables explaining response shift effects can be used to interpret results of other comparable studies using PROMs and inform the design of future response shift studies.

Instructor's Emotional Intelligence Improves Pilot Student's Achievement at Akademi Penerbang Indonesia Banyuwangi

This study investigates the impact of Instructor Emotional Intelligence (IEI) on Pilot Student's Academic Achievement (PSA) at the Indonesian Aviation Academy in Banyuwangi. A quantitative approach using a survey method was employed to collect data from 20 pilot students selected through purposive sampling. The main research instrument was a questionnaire designed to measure relevant variables, which was validated for reliability and accuracy. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the SmartPLS 3 software, allowing for examination within a small sample and complex model structure. The findings indicate a significant relationship between instructor emotional intelligence and pilot student academic achievement. Indicators such as emotion management, empathy, and instructor motivation contribute positively to enhancing pilot students' academic performance. The loading factor and path coefficient values suggest that IEI has a strong influence on PSA, highlighting that students are more motivated and prepared to face academic challenges when guided by emotionally intelligent instructors. This study underscores the importance of instructors’ emotional skills in creating a supportive learning environment that can foster increased motivation and academic achievement among students. It recommends that aviation education institutions consider implementing emotional intelligence training for instructors to improve the quality of education and student learning outcomes.

Analyzing the Effect of Factors on Individuals’ Subjective Well-Being with Quantile Bayesian Structural Equation Modeling Approach

This study investigates factors influencing individuals’ levels of subjective well-being by examining fundamental variables, called life domains, such as satisfaction with health, education, marriage, housing district, work life, social life, relationships, and public services. The aim is to understand how these domains affect various quantile values of subjective well-being. To achieve this, the Life Satisfaction Survey dataset for 2020, obtained from the Turkish Statistical Institute, was utilized, and Bayesian Quantile Structural Equation Modeling and Bayesian Structural Equation Modeling methods were applied. The empirical study indicates that all life domains were found to have a positive impact on subjective well-being, except for housing-district satisfaction and education satisfaction. In particular, for individuals with low subjective well-being, satisfaction with work life, relationships, and public services has a stronger effect on subjective well-being compared to those in higher quantiles. Conversely, marriage satisfaction has a stronger effect on subjective well-being among individuals in the higher quantiles. This study’s unique contribution is that examining subjective well-being according to quantile values provides detailed information on how the factors influencing individuals’ subjective well-being vary across different levels.

Educational Technology for Digital Transformation of Higher Education Institutions into Entrepreneurial Universities

Digital technology is transforming higher education institutions into entrepreneurial universities, which, in turn, supports economic development and knowledge generation. The integration of education technology enhances access, equity, inclusion, and the quality of learning experiences. This research aims to uncover how educational technology promotes digital transformation in Indonesia’s higher education, fosters an entrepreneurial mindset, and contributes to social and economic growth. This study uses a quantitative approach with a survey method, with the data collected using purposive sampling. The questionnaire was designed to represent the indicators set in the variables, and the results were analyzed using the structural equation modeling (SEM) method. This study analyzes 45 universities aiming to become entrepreneurial institutions, with 155 respondents filling out the questionnaire. The integration of educational technology and digital transformation in higher education has significant implications, affecting teaching methods, administrative efficiency, and the educational environment. The entrepreneurial university model emphasizes collaboration and responsiveness to market needs, preparing graduates for a competitive job market. This shift requires a reassessment of traditional teaching methods and a shift in mission. The successful integration requires strategic planning, transformational leadership, investment in digital infrastructure, and fostering a culture of innovation.

The impact of Islamic banks’ non-Shariah-compliant income on customers’ trust and commitment: case of Islamic banks in Pakistan

Purpose Islamic banking is a financial institution that is concerned with the regulation of the Shariah guidelines. Several full-fledged and Windows-based Islamic banks in Pakistan have reported non-Shariah-compliant income (NSCI) due to various operational investment activities. Hence, this issue has attracted this study to examine the impact of NSCI, especially from the perspective of Islamic bank (IB) customers’ trust and commitment. Design/methodology/approach This study used trust-commitment theory as the underlying theory to examine customers’ trust and commitment. A total of 341 questionnaires have been distributed, and the data is analysed using the structural equation modelling (SEM) method. Findings The results show the commitment of IB customers has a significant relationship with the benevolence, trust and shared values of the top management of IBs. Meanwhile, the other two constructs, the ability and integrity of the top management, are found to be insignificant. Research limitations/implications The gender diversity among banks’ customers in Pakistan is the main limitation in this study. There were difficulties in selecting a more representative sample due to gender domination issues in the country. Thus the data revealed that 62.8% were male respondents, which confirms the prior research on the gender disparity. Originality/value This study provides interesting insights into the context of Pakistan’s Islamic banking sector as it examines top management’s ability, integrity, benevolence and shared values to affect trust and commitment, and the role of trust as a mediator.

Acceptance of new agricultural technology among small rural farmers

Amid China’s 2023 policy shift toward rural revitalization and agricultural modernization driven by a substantial agricultural population and the foundational role of agriculture in the national economy, there is an urgent need for the widespread adoption of new agricultural technologies to boost production quality, efficiency, and economic development. This study examines the determinants of technology adoption in agriculture among small rural farmers, focusing on the unified theory of acceptance and use of technology framework. Using a cross-sectional survey approach and a convenience sampling method, the study ultimately collected 326 responses from rural farmers. The collected data were analyzed using a structural equation modeling method with SmartPLS 4 software. The results reveal significant determinants of the intention to use new agricultural technology and the use of new agricultural technology, with performance expectancy, effort expectancy, and hedonic motivation exhibiting positive effects. Facilitating conditions have emerged as key factors influencing both the intention and usage of new agricultural technology. Although age does not moderate any of the relationships, using years moderates the relationship between performance expectancy and intention to use new agricultural technology as well as price value and intention to use new agricultural technology. Intention to use new agricultural technology has significant and positive mediating effects on the proposed relationships. The theoretical implications of this study underscore the significance of understanding the complex interplay of determinants, moderating factors, and mediating pathways within the unified theory of acceptance and use of technology framework to advance the knowledge of agricultural technology adoption. This study provides valuable perspectives for policymakers, practitioners, and researchers dedicated to promoting the adoption of sustainable technology in the agricultural sector.

Pengaruh Influencer, Brand Image, dan Product Quality, Terhadap Keputusan Pembelian Sepatu Compass di Purwokerto

The purpose of this research is to analyze the influence of influencers on Instagram social media, brand image, and product quality on purchasing decisions for Compass shoes among the people of Purwokerto. This research is a type of quantitative research with a research sample of 146 respondents who live in Purwokerto. The sampling method used is. Purposive Sampling, namely selecting respondents who are willing and meet the specified sample criteria. For data analysis, the Structural Equation Modeling (SEM) method was used with the Smart PLS version 4.0 tool. The tests carried out include the outer model test to assess the validity and reliability of the construct, the inner model test to evaluate the relationship between latent variables, and hypothesis testing to test the significance of the influence of each independent variable on the dependent variable. The research results show that partially the brand image and product quality are proven to have a positive and significant influence on the decision to purchase Compass shoes. On the other hand, influencers do not have a significant influence on the decision to purchase Compass shoes. These findings show that brand image and product quality factors are more dominant in influencing purchasing decisions than the influence of influencers on Instagram.

Pengaruh HRM Keadilan Organisasi, Manajemen Konflik, Etika Organisasi Terhadap Hubungan Karyawan dengan Intervening Iklim Kepercayaan

In the modern corporate environment, organizational justice, effective conflict management, and strong ethics are crucial elements in creating harmonious and productive employee relationships. The purpose of this research is to find out how HRM influences organizational justice, conflict management, organizational ethics on employee relations with the intervening climate of trust. This research was conducted at the XYZ company which operates in the shoe manufacturing sector located in Pasar Kemis Tangerang. Descriptive – correlative research design with quantitative methods and using purposive sampling techniques which were distributed via (google form) to 275 respondents aged 18 – 60 years who worked in the production section of the company. Primary data analysis was carried out using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method. The conceptual model was analyzed using Structural Equation Modeling. The findings of this research reveal that organizational justice has a positive influence on employee relationships, management has a positive influence on employee relationships, organizational ethics has a positive influence on employee relationships, organizational justice has a positive influence on the climate of trust, conflict management has a positive influence on the climate of trust. , organizational ethics has a positive influence on the climate of trust, climate of trust has a positive influence on employee relations, climate of trust mediates the relationship between organizational justice and employee relations, climate of trust does not mediate the relationship between conflict management on employee relations and climate of trust does not mediate the relationship between organizational ethics on employee relations.

Pengaruh Endorsement Micro-Influencer Instagram Dan Viral Marketing Terhadap Minat Beli Dan Keputusan Pembelian (Studi pada UMKM Makanan di Pasuruan)

this study aims to measure the direct impact of micro influencer endorsements and viral marketing on purchase decisions, as well as evaluate whether buying interest serves as a mediator in the relationship. This study aims to evaluate the influence of micro influencer endorsements and viral marketing on the purchase decisions of MSME consumers in Pasuruan Regency, as well as the role of buying interest as an intervening variable in the relationship. With the rapid development of social media and the increasing role of influencers in marketing, it is important to understand how micro influencer endorsements and viral marketing strategies influence purchasing decisions. This study uses the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS) with the help of SmartPLS 4.0 software to analyze the data obtained from the questionnaire distributed to 116 respondents. The results of the analysis show that micro influencer endorsements and viral marketing have a positive and significant influence on consumer purchase decisions. Micro influencer endorsements were proven to influence purchase decisions with a t-statistic value of 2.894 and a p-value of 0.004, while viral marketing showed a significant influence with a t-statistic value of 4.102 and a p-value of 0.000. Buying interest as an intervening varibael mediated the relationship between micro influencer endorsements and viral marketing on purchase decisions significantly, with p-values of 0.007 and 0.012, respectively.

Impact of Market and Entrepreneurial Orientation on Batik MSMEs’ Performance in Yogyakarta

Research Aims: In an organization, there are several factors that can affect business performance, including orientation, entrepreneurial orientation, utilization of social media and marketing capability. Based on the urgency above, this study focuses on exploring indicators that can effectively affect business performance and continuity in the current technological era in batik MSMEs. The purpose of this study is to provide an overview of the influence of antecedents on MSME performance so as to provide an overview of indicators that can effectively improve the performance of batik MSMEs in Yogyakarta. Design/methodology/approach: This research design uses a quantitative research method with an associative problem formulation. The type of research used is explanatory research. The number of respondent samples was 250 leaders or people in charge of various batik craft UMKM in Region of Yogyakarta Province. Data collection through the distribution of questionnaires with a face-to-face method between respondents and researchers. The analysis of this study uses the Structural Equation Modeling (SEM) method using AMOS. Research Findings: The results of this study are that market orientation, entrepreneurial Orientation, and use of social media have an effect on the marketing capability and business performance of Batik MSMEs in Yogyakarta. Theoretical Contribution/Originality: This study provides an overview of the importance of market orientation and entrepreneurial Orientation for improving a company's business performance. The novelty of this study's results is that it shows that the use of social media and marketing capability are also indicators that play a role in improving business performance.

The Mediating Role of Generative AI Self-Regulation on Students’ Critical Thinking and Problem-Solving

Within the rapid integration of AI into educational settings, understanding its impact on essential cognitive skills is crucial for developing effective teaching strategies and improving student outcomes. This study examines the influence of generative artificial intelligence (GenAI) on students’ critical thinking and problem-solving skills in higher education. Our research specifically investigates how the perceived ease of use, usefulness, and learning value of GenAI tools might influence students’ critical thinking and problem-solving skills, and whether self-regulation serves as a mediator in this relationship. Utilising a quantitative approach, we surveyed 223 students and analysed their responses using a structural equation modelling method. The results reveal that the ease of use of GenAI significantly enhances self-regulation, which in turn positively impacts both the critical thinking and problem-solving abilities of students. However, the perceived usefulness and learning value of GenAI were not found to significantly influence these skills through self-regulation. These findings suggest that, while AI tools can offer an environment conducive to developing higher-order cognitive skills, this might not necessarily translate to the enhancement of students’ skills. This research contributes to the ongoing literature on the role of technology in education by highlighting the importance of designing GenAI tools that support self-regulated learning. Furthermore, it calls for educators and developers to focus not just on the functionality of AI, but also on how these tools can be integrated into curricula to effectively support critical thinking and problem-solving. The practical implications of our research highlight the need for AI tools that are user-friendly and aligned with educational goals, enhancing their adoption and effectiveness in improving student outcomes. It is crucial for educators to integrate strategies that promote self-regulation within AI-enhanced learning environments to maximise their impact on student learning.

THE INFLUENCE OF ON TIME PERFORMANCE AND CUSTOMER BEHAVIOR ON CUSTOMER SATISFACTION THROUGH CUSTOMER PERCEPTION AS A MODERATION (Case Study: Inter-City Bus Transportation Mode Department of Transportation – East Java Province, Indonesia)

Competition for transportation modes in this millennial era is very tight, where there is a change in consumer patterns of transportation choice patterns. City buses, which have been an alternative choice for public transportation, are now starting to be abandoned by consumers for various reasons. The purpose of this research is to determine the influence of on time performance, customer perception on customer satisfaction through the customer perception variable as an intervening variable. The method used is the SEM (Structural Equation Modeling) method with variable analysis using the CFA (Confirmatory Factor Analysis) method. The results of the research show that the punctuality indicator has an influence of 0.053 on customer satisfaction, the consumer mindset indicator has an influence of 0.212 on customer satisfaction, the indicator that consumers perceive well has an influence of 0.044 on customer satisfaction, the service level indicator has an influence of 0.023 on customers. satisfaction through customer perception, and indicators of the existence of other more effective alternative modes of transportation which have an influence of 0.127 on customer satisfaction through customer perception.

PERSONAL ADJUSTMENT AND SOFT SKILLS ON NON-ASN STAFF READINESS IN BUREAUCRATIC CHANGE

Bureaucratic Change is a challenge that must be faced by non-ASN employees in the government sector. Personal adjustments and soft skills such as communication and conflict management are considered important to increase the readiness of non-ASN employees to deal with these changes. This study aims to analyze the effect of self-adjustment and soft skills on the readiness of non-ASN employees to face bureaucratic changes in the Indragiri Hilir Regional Government, Riau. Using the Structural Equation Modeling method and involving 200 non-ASN employees selected through purposive sampling, this study shows that self-adjustment and soft skills have a significant positive effect on employee readiness and adaptability. These results have important implications for the development of training programs that focus on improving soft skills relevant to bureaucratic dynamics. The study recommends increased skills training to strengthen the readiness of non-ASN employees to face bureaucratic changes in the public sector.

Manajemen Operasional UMKM: Peran Sistem Pembayaran, Inovasi dan Kinerja Operasional terhadap Kemampuan Bersaing

This study aims to analyze the effect of payment systems and innovation on the operational performance and competitiveness of Small and Medium Enterprises (SMEs) in Makassar City. The study found that an efficient payment system impacted competitiveness, although not directly through increased operational performance. This underscores the importance of a well-functioning payment system in SMEs' competitiveness. Data were collected from 156 SMEs in Makassar through questionnaires and analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results showed that payment systems did not have a significant effect on operational performance but had a significant impact on competitiveness. Conversely, innovation significantly affected operational performance but did not directly increase competitiveness. In addition, operational performance was shown to be an essential mediator in the relationship between innovation and competitiveness but not in the relationship between payment systems and competitiveness. The conclusion of this study emphasizes the importance of innovation in improving the operational performance of SMEs, which ultimately contributes to increased competitiveness. The implications of this study provide recommendations for SMEs in Makassar to prioritize innovation in operations while improving payment systems to achieve better competitiveness in a competitive market.

The Influence of Digital Leadership on Employee Affective Well Being with the mediation of Organizational Citizenship Behavior and Job Satisfaction

The Digital Era, marked by rapid and significant technological developments, is essential for a leader to achieve good quality performance results by the responsibilities that have been given. The performance results of a company can increase due to the influence of leadership style supported by developments in digital technology. Digital leadership is believed to have a positive impact on employee affective well-being, if employees are satisfied with what their leaders provide, it will influence the progress of the company and feel motivated to work better. This research also expands the literature by examining the mediating influence of Organizational Citizenship Behavior and Job Satisfaction and provides new directions for researchers to study Digital leadership and Employee affective well-being—purposive sampling method. The data collection technique began with distributing an initial questionnaire (pre-test) to 50 respondents with the criteria for respondents being employees who had worked for at least 1 (one) year and worked as staff in the company, then continued with a sample of 160 respondents. The research was carried out quantitatively using the Lisrel SEM (Structural Equation Model) method. The research results show that the Digital leadership variable has a significantly positive relationship with Job satisfaction, Organizational citizenship behavior (OCB), and Employee affective well-being. The variables Job satisfaction and OCB have a significantly positive relationship and are good mediators of digital leadership on employee affective well-being.

THE EFFECT OF OCCUPATIONAL SAFETY AND HEALTH IMPLEMENTATION ON WORK MOTIVATION AND PRODUCTIVITY IN XYZ FURNITURE PRODUCTION IN SLEMAN REGENCY

Background: The XYZ furniture in Sleman Regency has three workstations: (1) Measuring and cutting, (2) Refining, and (3) Finishing. The production process in Micro, Small, and Medium Enterprises (MSMEs) still needs to implement OSH principles fully. Purpose: To determine how implementing occupational health and safety measures affects work motivation and productivity. Method: In this research, the Structural Equation Modeling (SEM) method was used, and all six employees were involved in the production process, aged 22 to 32 years. Result: The research demonstrates a significant positive impact of OSH implementation on work motivation (tcount = 3.477, p-value = 0.000), highlighting its substantial influence in enhancing employee motivation. Furthermore, a notable positive association is found between OSH implementation and work productivity (tcount = 3.653, p-value = 0.000), confirming the significant contribution of OSH practices to overall work productivity improvement. Additionally, the investigation reveals that work motivation significantly influences increased work productivity (tcount = 2.641, p-value = 0.008), underscoring the importance of cultivating motivation for enhancing workplace productivity. The highest influence value of the ten indicators (X24) is 9.18, which indicates work quality. Conclusion: The direct application of OSH substantially impacts on both work motivation and productivity. Moreover, a significant relationship is observed between work motivation and work productivity. Considering the utmost importance of work quality, improvements are recommended to enhance workstation design through a participatory ergonomics approach, and implementing the 5S concept in the furniture production area can effectively increase work quality.

How conveniences, assortment and customer experience steer customers behaviour in drive-throughs grocery

ABSTRACT The drive-throughs (DT) are now perceived by some customers as a service that complements the bricks-and-mortar groceries. This paper aims to investigate on what determines the customer behaviour of this new hybrid distribution channel. The study is based on a quantitative analysis of data collected from a sample of 791 DT customers in France. It performs a descriptive analysis using SPSS software. To analyse latent relations between DT characteristics and customer behaviour variables, the paper run a structural equation modelling (SEM) method using AMOS. The paper finds that ‘access convenience’ and ‘quality of assortment’ emerge as two preponderant explanatory variables for DT customers behaviour. In contrast, the customer experience has a significant rather negative or insignificant effect on the customer behaviour. Likewise, the quality of information and the quality of reception (contact with personnel) have positive but very insignificant effects on customers behaviour. This research contributes to the theory of service in the extent that it sheds light on the importance of combining convenience with assortment in order to facilitate customer’s journey on the DT shopping. This importance can be twofold: help retailers to cope with constraints of rapid distribution of such perishable products and to meet customer requirements.