Structural Equation Modeling Method Research Articles

Mediating role of self-compassion in relationship between attachment styles and empathy in nurses

IntroductionEmpathy with the patient is one of the important factors in nursing care. This study aims to investigate the mediating role of self-compassion in the relationship between attachment styles and empathy in nurses.Materials and methodsThis correlational study was conducted using structural equation modeling (SEM) method. The statistical population included nurses working at public hospitals in Yazd City, Iran. A total of 308 nurses were selected by convenience sampling method. The data were collected using self-compassion scale, adult attachment styles scale, Jefferson scale of empathy and analyzed using structural equation analysis in AMOS software.ResultsSecure and anxious/ambivalent insecure attachment styles were positively and negatively correlated with empathy, respectively (p < .01). The path coefficient between avoidant and anxious/ambivalent insecure attachment styles and self-compassion was negative. On the contrary, the path coefficient between secure attachment style and self-compassion was positive. There was a positive correlation between self-compassion and empathy. The indirect path coefficient of secure and anxious/ambivalent insecure attachment styles to empathy through self-compassion. was significant (p < .01).ConclusionThe results showed secure and anxious/ambivalent insecure attachment could directly and indirectly through influencing self-compassion predict empathy in nurses.

Stakeholder Perceptions of Sustainable Tourism Development: A Case Study in Haikou, China

The development of sustainable tourism has various stakeholders such as local residents, businesses, governments, visitors, travel agencies, and tourism companies. Tourism destinations need to be protected not only to ensure a better travel experience but also to ensure that they can be enjoyed in the future. This study explored the degree of influence of key stakeholders such as the government, travel agencies, local residents, and tourists on the development of sustainable tourism in Haikou, the capital city of the island province Hainan, China. This city is rich in tropical natural resources and offers unique opportunities for the development of tourism. In 2018, Haikou was selected as one of the first “International Wetland Cities” by the 13th United Nations Ramsar Convention. However, the high dependence on tourism and centralized consumption have caused several ecological and environmental problems in Haikou. An online questionnaire survey of 419 stakeholders was conducted, and factor analysis was used to identify five dimensions. The structural equation modeling method was used to explore the degree of influence of different relationships on sustainable tourism development in Haikou. The results indicated that key stakeholders are most concerned about tourism awareness, ecological protection, and sociocultural development. Therefore, further efforts to promote and develop tourism must focus on ecological and environmental protection. Creating positive travel experiences and managing tourism wisely can meet the demands of today without compromising the future.

The measurement of fraud perception of investors and the mediating effect of risk aversion: the case of crypto assets

Purpose This study aims to gain a new perspective on auditing by measuring investors’ fraud perception and to reveal the necessity of increasing individuals’ fraud perception by determining the effect of fraud perception on the intention to invest in crypto assets from the investor’s perspective. Design/methodology/approach As part of this quantitative research, a survey was conducted on individuals residing in Türkiye and aged 18 years and above through a convenience sampling method. A total of 446 participants were included in the study. The data collected was analyzed using the partial least squares-variance based structural equation modeling (PLS-SEM) method using the SmartPLS program. Findings Fraud perception causes individuals to be more risk-averse and reduces their intention to invest in crypto assets. At the same time, it has been observed that risk-averse individuals have lower intention to invest in crypto assets. According to the results of the mediating effect analysis, risk aversion behavior partially mediates between the fraud perception and the intention to invest in crypto assets. Among the emotions, only fear increases risk aversion behavior. Among the personality traits, extroversion and openness to experience personality traits reduce risk aversion behavior, whereas neuroticism personality traits increase the intention to invest in crypto assets. Originality/value In an environment where traditional auditing activities are insufficient, increasing investors’ perceptions of fraud can reduce fraud-related losses. In this context, to the best of the authors’ knowledge, the present study might be among the first to investigate the impact of individuals’ perceptions of fraud on their investment intentions in crypto assets.

Old building reconstruction initiatives: how community information dissemination and community involvement mitigate the project complexity

Old building reconstruction initiatives are instrumental in achieving sustainable urban regeneration, yet they often grapple with substantial complexities concerning community involvement. A review of the existing literature presented a lack of studies examining how community engagement influences project complexity. This research aims to bridge this gap by investigating the interrelationship between community involvement, project complexity, and the impact of community information dissemination. A comprehensive set of measurement items was initially developed through a literature review and discussions with experienced practitioners to form the questionnaire survey. Subsequently, data collected from 168 respondents were subjected to analysis employing the Structural Equation Modeling method. The empirical findings provide compelling evidence of negative relationships between community information dissemination and community involvement with project complexity. Furthermore, the study highlights a positive relationship between community information dissemination and community involvement. This research underscores the pivotal roles of community engagement and information sharing in the quest for sustainable urban regeneration. It emphasizes the critical significance of transparent communication, community participation, and empowerment as indispensable components within OBR projects, all contributing to the broader achievement of sustainable urban regeneration.

Customer Service and Delivery Service Quality of Delivery Service Companies

The development of goods delivery services could be seen from the growth of service companies’ quantity domestically and abroad. People could determine which delivery services they will use based on their will and the service quality. Freight forwarding companies often experience difficulty in retaining delivery services’ loyal customers. The purpose of the study is to analyze the influence of satisfaction, service quality, and customer’s services on customer’s loyalty of the freight forwarder company. The research technique used the Quantitative approach that the survey data was collected and processed using Structural Equation Modeling (SEM) method of AMOS 22 software. This research used 200 purposive sampling of the company’s customers as respondents. The results show that there is direct and indirect influence of customer’s satisfaction, service quality, and customer’s service on customer’s loyalty. Therefore, the role of service quality and customer’s satisfaction has a significant impact on the business continuity of freight forwarding service companies. It means that the freight forwarding company should maintain the customer’s loyalty optimally by increasing customer’s satisfaction through the quality of service provided to customers in order to build the customer’s loyalty.

Soil spatial heterogeneity created by river–sea interaction influences Tamarix chinensis root features in the Yellow River Delta

AbstractSalt‐tolerant Tamarix chinensis roots are crucial in preserving wetland soil and carbon sequestration, which is essential for wetland ecology. Soil‐water‐salt conditions influence the growth of these roots in coastal saline areas, but the specific factors and their effects remain unclear. Using principal component and partial least square–structural equation modelling (SEM) methods, we studied T. chinensis root features in six Yellow River delta communities. Results showed varied root features across locations, with larger roots further inland. Root growth negatively correlated with soil texture and salinity and positively with groundwater levels. Soil texture and salinity decreased with distance from the coast, while groundwater increased with distance from the Yellow River. This suggests that geographical location influences soil‐water‐salt conditions, impacting root characteristics. The principal component analysis–derived root feature index captured 56.7% of root feature variation. SEM revealed geographical locations indirectly influence root features, with the Yellow River's proximity primarily affecting them through groundwater and coastal distance influencing via soil sand content and salinity. The study underscores the importance of these findings for wetland conservation and ecology.

PENGARUH HEDONIC CONSUMPTION, LINGKUNGAN TOKO DAN POTONGAN HARGA TERHADAP IMPULSE BUYING DENGAN EMOSI POSITIF SEBAGAI VARIABEL INTERVENING PADA D’CHICKEN SAMBAL BAKAR SITUBONDO

The culinary business is one of the businesses booming and has quite a large development potential. This is illustrated by the number of culinary entrepreneurs who are successful in making profits in their businesses. The aim of this research is to analyze and test the influence of Hedonic Consumption, Store Environment, and Price Discounts on Impulse Buying with Positive Emotions as an Intervening Variable. The population in this research is consumers of D'Chicken Sambal Bakar Situbondo. The sampling technique in this research is simple random sampling. Data analysis and hypothesis testing in this research used the advanced Partial Least Square - Structural Equation Model (PLS-SEM), a robust and reliable method for complex data analysis. The results of the direct influence hypothesis test using the Smart PLS 3.0 application reveal significant insights. Hedonic consumption has a significant positive effect on positive emotions. The store environment, while not significant, has a positive effect on positive emotions. Price discounts have a significant positive effect on positive emotions. Hedonic consumption also has a significant positive effect on impulse buying. The store environment, while not significant, has a positive effect on impulse buying. Price cuts have a significant positive effect on impulse buying. Positive emotions, while not significant, have a positive effect on impulse buying. The indirect influence hypothesis test results show that Hedonic consumption, while not significant, has a positive effect on impulse buying through positive emotions. The store environment, while not significant, has a positive effect on impulse buying through positive emotions. Price discounts, while not significant, have a positive effect on impulse buying through positive emotions.

Interrelation of Design Performance to Construction Performance

Planning consultant play a very important role in the success of a project, the consultant task in general is to translate the wishes and needs of the client in the design process which is poured into document drawings, structural calculations, costs, time and other supporting documents. Then supervise and provide assistance to contractors in the construction implementation phase, careful planning at the beginning of the project will produce an accurate implementation guideline product which will greatly determine the success of a project. Direct interviews were used in this study as data collection, designing questionnaires and determining variables. Questionnaires were distributed to 37 respondents and analyzed using the SEM (Structural Equation Modeling) method. The results of the analysis of the SEM method for the Interrelation of Design Performance Against Construction Performance showed that construction performance was affected by 97.3% by design and intervening performance. Human Resources is the most influential indicator in performance and design results and indicators in the design performance variables and construction performance variables are the success criteria for the design or planning document.

EXPLORING THE ROLE OF LEADERSHIP AND ORGANIZATIONAL CULTURE IN ENHACING PUBLIC SECTOR INNOVATION IN MEDAN: AN SEM-PLS STUDY

The purpose of this study is to find out and analyze the extent to which leadership variables and organizational culture affect the quality of public sector services through increasing public sector innovation as an intervening variable. The subject of this study is the population of Medan City, where the variables in this study are independent variables, namely leadership and organizational culture, dependent variables, namely public sector service quality variables, and intervening variables are variables that increase public sector innovation. The results of data analysis were carried out by SEM analysis using SMART PLS 4.0 software. The data collection technique is by observation and documentation studies. The research method uses a quantitative descriptive method of data analysis using the structural equation model (SEM) method, where the results of data processing using the SEM method are carried out with the PLS 4.0 application. From the results of the study, the existing conclusion is that partially, leadership variables and organizational culture affect the quality of public sector services and affect the improvement of public sector innovation. Simultaneously, leadership and organizational culture affect the quality of public sector services through the variable of increasing public sector innovation as an intervening variable. The more leadership serves, the more innovation will grow in public sector services which will eventually change the organizational culture that tends to be flexible and serve which makes the quality of public sector services improve its performance.

THE EFFECT OF GOVERNMENT HEALTH PROGRAMS ON PEOPLE'S WELFARE IN THE CITY OF MEDAN

The formulation of the problem that arises from this research is how the variables of the role of health workers and social status affect the welfare of the people of Medan City through income as an intervening variable. The subject of this research is the people of Medan City (residents) of Medan City, where the variables in this study are independent variables, namely the role of health workers and social status, dependent variables, namely community welfare variables and intervening variables are income variables. The results of data analysis used using SEM analysis using SMART PLS 3.0 software. as for data collection techniques with questionnaires and observational studies. The research method uses a quantitative descriptive method of data analysis using the structural equation model (SEM) method, where the results of data processing with the SEM method are carried out with the PLS 4.0 application. From the results of the study, the conclusion is that partially, only the variable role of health workers has an effect on community welfare and affects community income. Simultaneously, the variables of the role of health workers and social status affect the improvement of community welfare through the variable of community income as an intervening variable. From the results of this study, the conclusion that exists, namely partially partially only the variable role of health workers that affects community welfare and affects community income. Simultaneously, the role of health workers and social status variables affect the improvement of community welfare through the variable of community income as an intervening variable.

Service Quality and Personal Attitudes as Predictors of Overall Satisfaction with Public Buses: A Case Study in Kathmandu, Nepal

This study analyzes the effects of certain variables on bus service quality (SQ) and how SQ and personal attitudes affect satisfaction with public buses. A total of 552 responses were collected using a questionnaire that captured socioeconomic and trip characteristics, satisfaction ratings for SQ attributes, and the personal attitudes of consumers. Factor analysis was used to uncover unobserved latent features and to generate two measurement models: for SQ and for personal attitudes of bus users. Three latent variables (“information, safety and security”, “comfort”, and “accessibility/availability”) were observed that signify SQ. Simultaneously, two latent variables (perceived value, and behavioral intention and involvement) were obtained representing the attitude of customers. A structural equation modeling method was employed to compute interconnections among these variables. Information and safety and security had a major influence on SQ followed by comfort and accessibility/availability. Similarly, perceived value had a greater impact on personal attitudes than that on behavioral intention and involvement. Findings also show that evaluating overall SQ is better explained when consumers rate the service quality of buses after knowing about the various attributes. Findings revealed that the overall satisfaction of customers with bus services was influenced more by SQ-related attributes than by personal attitudes. The study also provided insights into public bus service quality improvements that must be emphasized and enhanced to increase ridership. This understanding of connections among SQ, personal attitudes, and overall satisfaction can assist transit officials in developing effective strategies and investment plans to meet the needs of passengers and boost customer satisfaction with public buses.

Addressing Endogeneity in Meta-Analysis: Instrumental Variable Based Meta-Analytic Structural Equation Modeling

In management research, meta-analysis is often used to aggregate findings from observational studies that lack random assignment to predictors (e.g., surveys), which may pose challenges in making accurate inferences due to the correlational nature of effect sizes. To improve inferential accuracy, we show how instrumental variable (IV) methods can be integrated into meta-analysis to help researchers obtain unbiased estimates. Our IV-based meta-analytic structural equation modeling (IV-MASEM) method relies on the fact that IVs can be incorporated into SEM, and meta-analytic effect sizes from correlational research can be used for MASEM. Conveniently, IV-MASEM does not require that each primary study measures all relevant variables, and it can address typical types of endogeneity, such as omitted variable bias. We clarify how the principles of IV-SEM can be applied to MASEM and then conduct three simulations to study the validity of IV-MASEM versus Univariate Meta-Analyses (UMA) and MASEMs that exclude IVs when the instruments were appropriate, inappropriate, and missing from a subset of primary studies. We also offer an illustrative study to demonstrate how to apply IV-MASEM to address endogeneity concerns in meta-analysis, which includes a new R function to test the qualifying conditions for IVs. We conclude with limitations and future directions for IV-MASEM.

ChatGPT awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone

As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, has gained significant importance, particularly in education. This study investigates the awareness, acceptance, and adoption of ChatGPT, a state-of-the-art language model developed by OpenAI, in higher education institutions across China. This study applies the partial least squares structural equation modeling (PLS-SEM) method for examining data collected from 320 Chinese university students. The study’s conceptual framework integrates key determinants from the Technology Acceptance Model (TAM) and extends it by incorporating perceived intelligence as a critical factor in the adoption process. The study findings reveal that ChatGPT awareness significantly influences the intention to adopt ChatGPT. Perceived ease of use, usefulness, and intelligence significantly mediate the association between ChatGPT awareness and adoption intention of ChatGPT. Additionally, perceived trust significantly moderates the relationship between ChatGPT awareness and perceived ease of use, usefulness, and intelligence. Moving forward, in order to maintain students’ critical thinking skills and inventiveness in their assessment writing, assessments must promote the safe use of ChatGPT. Therefore, educators will be crucial in ensuring that artificial intelligence tools are used in assessments ethically and suitably by providing clear guidelines and instructions.

Co-Branding Strategy in Cross-Industry Business: A Case of Mobile Games and Food Products Collaboration on Indonesian Mobile Games Players

Purpose: This study discusses the cross-industry co-branding strategy of PUBG (Player Unknown's Battle Grounds) Mobile x Indomie products by analyzing the influence of self-congruity and brand fit variables on co-branding and its impact on brand equity and purchase intention carried out on mobile game players in Indonesia. Method: This study used quantitative research methods with the population of Indonesian mobile game players. The study used purposive sampling with a sample of 180 respondents. Data was processed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with SmartPLS 3.0 software. Result: The results of this study prove that co-branding is influenced by brands that have more value and appeal and are influenced by brand combinations that match both symbolic and functional effects. Co-branding with a combination of brands with an equivalent level of equity shares the benefits of co-branding equally, so co-branding with a combination of high and low-equity brands is believed to influence brand equity significantly. Good co-branding will provide a positive evaluation of a brand to encourage consumer purchase intention.

Dynamics of Social Interaction, Social Support, and Psychological Well-Being in Urban Communities: Social Support Theory Perspective

This study aims to investigate the effect of Quality of Social Relationships on Social Welfare and Urban Community Quality of Life, using the Structural Equation Modeling (SEM) quantitative analysis method with the SMARTPLS tool. This research method involves collecting data from 600 samples representing various backgrounds and characteristics of individuals in an urban environment. The results showed that Quality of Social Relationships has a positive and significant influence on Social Welfare and Urban Community Quality of Life. The quality of strong and supportive social relationships is shown to play an important role in enhancing individual social welfare and improving the overall quality of life in urban communities. From the analysis using the SEM method with SMARTPLS, the findings suggest that social interaction, life satisfaction, social support, and the ability to adapt to environmental changes contribute positively to the quality of social relationships which in turn influence Social Welfare and Urban Community Quality of Life. The implication of these findings is the need to consider the importance of strengthening the quality of social relationships in developing social policies and programs aimed at improving social welfare and quality of life in urban environments.

The Effect of Improving Human Resources for Student Interest in Selecting University on Food Security and Health: Structural Equation Modeling (SEM)

The selection of State Universities by students has a significant impact on improving the quality of human resources, so it can also affect the improvement of food security and health. This study aims to understand the extent of students' interest in selecting university which contributes to improving human resources and can indirectly affect food security and health. This study uses the Structural Equation Modeling (SEM) method to analyze the interaction between latent variables. Data was collected through questionnaires from high school students on the Indonesia-Timor Leste border. The data used in this study include students' interest in selecting university (Y), education and knowledge (X1), skills and abilities (X2), food security (X3), and health (X4). The results showed that students' interest in selecting university had a significant correlation with improving human resources through education by 90% (X1) and 84% (X2). The impact of this increase in human resources is also seen in the improvement of food security and public health which provides a correlation of 98% (X3) and 81% (X4).

ANALYSIS ANALYSIS OF THE INFLUENCE TRAINING AND WORK MOTIVATION ON PERFORMANCE IN THE HEALTH SERVICES OF EAST JAVA PROVINCE

The purpose of this study was to explain the effect of training and work motivation on employee performance using research objects at Dinas Kesehatan Provinsi Jawa Timur. This research uses a quantitative approach. The population in this study were employees of the Health Office (Dinas Kesehatan) of Jawa Timur Province. The sample in this study was 72 respondents who had gone through calculations using the Slovin formula. The data analysis used in this research uses the component-based Structural Equation Modeling (SEM) method using the Partial Least Square (PLS) analysis tool. The results of this research show that training can have a positive and significant influence on employee performance, and work motivation has a positive and significant influence on employee performance.

Quality 4.0 practices toward sustainable excellence in the manufacturing sector

In the Industry 4.0 context, it is very important for companies to apply a comprehensive and sustainable business model to grow steadily and quickly adapt to the fast-changing environment. Although the existing literature has explored Quality 4.0 by integrating Industry 4.0 tools into the TQM system, the question of how Quality 4.0 practices drive sustainable excellence (SE) remains unexplored. Therefore, to fill the gap, this research aims to investigate the relationship between Quality 4.0 practices and SE as well as the role of digital transformation (DT) and digital leadership in this connection, anchoring on the stakeholder theory, the natural resource-based view (NRBR) theory, and the socio-technical system (STS) theory. The research employs the quantitative Structural Equation Model method to analyse empirical data in the manufacturing industry in Vietnam. The findings demonstrate that Quality 4.0 practices positively influence both digital transformation and SE. This study confirmed the mediating role of digital transformation and the moderating role of digital leadership in the relationship between Quality 4.0 practices and SE. The findings of this study contributed to applications of Quality 4.0 practices and digital transformation to improve SE in the manufacturing sector.

How does organizational support for innovation influence job crafting and knowledge sharing behaviors? A comparison between teleworkers and office workers

PurposeScholars highlight the lack of research that explains the mechanisms leading to knowledge sharing, which appears complex and involves many variables. The primary aim of this study is to investigate the direct effect of organizational support for innovation on job crafting behaviors and knowledge sharing. The second objective is to assess the mediating role of job crafting in the relationship between organizational support for innovation and knowledge sharing. The third aim is to compare the direct effects of organizational support for innovation on job crafting behaviors and knowledge sharing between teleworkers and office workers.Design/methodology/approachBased on an empirical study involving 193 teleworkers and 191 office workers, the structural equation modeling method was employed to examine the direct and indirect effects of organizational support for innovation on knowledge sharing via job crafting behaviors. The comparison between teleworkers and office workers was investigated using a multigroup approach in AMOS software. This research is grounded in the conservation of resources theory and social exchange theory to elucidate these relationships.FindingsThe results indicate that organizational support for innovation has a positive influence on job crafting activities, manifested by the increase in structural and social resources, as well as the amplification of work-related challenges. The results also indicate that organizational support for innovation directly promotes knowledge sharing behavior and indirectly through job crafting. Furthermore, the findings reveal that these effects on job crafting and knowledge sharing are stronger among teleworkers compared to office workers.Research limitations/implicationsThe study has limitations. Its cross-sectional design does not establish causality, potentially leading to common method variance. However, after implementing many procedural and performing statistical tests, common method variance was not significant in this research. Replicating the study longitudinally would be valuable. Additionally, considering personality traits and technology characteristics in job crafting behaviors would be beneficial. Lastly, the study focuses only on accountants and predates COVID-19, which may impact its findings and generalizability.Practical implicationsThe study’s findings underscore the practical significance of supporting innovation and fostering job crafting to enhance knowledge sharing, particularly for remote workers. It highlights that the extent of employees’ engagement in job crafting depends on the level of innovation support provided in their workplace. To mitigate potential negative outcomes such as increased absenteeism, reduced productivity and retention challenges, organizations could benefit from training supervisors to prioritize and encourage job crafting and knowledge sharing behaviors among employees, especially in telework settings. Ensuring alignment between organizational messaging and managerial attitudes is crucial. Without autonomy or flexibility for job crafting, the positive effects of organizational innovation support may be limited.Originality/valueThis study contributes to the literature by demonstrating that job crafting behaviors serves as mechanisms between organizational support for innovation and knowledge sharing. The findings further advance the literature by revealing three psychological and motivational processes that may explain this relationship, particularly when comparing teleworkers to office workers. Our results reveal that the effect of organizational support for innovation on job crafting and knowledge sharing is stronger among workers who telework compared to office workers. This advances the theory of conservation of resources, especially the significance of resource gains, particularly in contexts where employees need resources, such as in telework.

Environmental Knowledge and Green Purchase Intention and Behavior in China: The Mediating Role of Moral Obligation

The increasing global focus on environmental sustainability has led to a growing emphasis on green purchase behavior. The theory of planned behavior (TPB) is one of the classical theories used to understand individual green purchase behavior from the perspective of psychology. Data are collected through an online survey, and the structural equation modeling (SEM) method is employed for analysis. The research findings demonstrate that consumers’ green purchase intention and environmental knowledge significantly and positively influence green purchase behavior. Moreover, moral obligation plays a partial mediating role in the relationship between green purchase intention and green purchase behavior, as well as in the relationship between environmental knowledge and green purchase behavior. By incorporating moral obligation and environmental knowledge into the TPB framework, this study advances the theoretical understanding of the drivers of green purchase behavior. Furthermore, this study reveals that green purchase intention, compared to environmental knowledge, exerts a greater influence on promoting consumers’ green purchase behavior. This finding underscores the crucial role of consumers’ internal motivation in driving sustainable choice. This study offers valuable implications for the design of green marketing strategies and have the potential to promote environmentally sustainable consumption behavior, thereby contributing to the global sustainability efforts.