Partial Least Squares Structural Equation Modeling Research Articles

Transition to green mobility: a twin investigation behind the purchase reasons of electric vehicles in the Indian market

Purpose The study aims to fulfil two objectives, namely, to explore what dimensions comes into play in the current consumer EV purchase behaviour based on relevant literature identified in the past and to find out whether there are other reasons that are peculiar to the Indian automobile market which influenced consumers to adopt this eco-friendly technology. Design/methodology/approach Mixed method approach for collecting the primary data was used. The study was conducted in five cities across India, through a questionnaire administered to 266 existing EV owners using judgemental sampling, that included dimensions as to what made them purchase EVs (any variant whether hybrid or battery) and encouraged their green behaviour. Moreover, the survey also took care of gathering other motivational constructs that may have played a significant role in the Indian EV market. To take care of this, use of single open-ended question was done. Statistical techniques like exploratory factor analysis (EFA) and Partial Least Square-Structural Equation Modelling (PLS-SEM) version 4.0 were performed to gain meaningful insights from this investigation. Findings Based on our analysis, EV purchase behaviour in the Indian market could be explained by six configurational paths identified in conceptual framework of this study. The data analysed revealed long-term operational benefits or relative advantages, trialability or prior driving experience and positive attitude towards EVs playing an important role towards EV purchase decision followed by environmental concern, social norms and personal values of Indian consumers. Besides, several other factors were identified in open comments like favourable government policies, brand consciousness, compatibility and functional benefits in terms of comfortable and noiseless driving which tend to drive the decision of Indian consumers towards buying EVs. The identification of these motivations can help policymakers in targeting the customer market accordingly. Research limitations/implications Although the study is restricted by its scope of sampling criteria, yet is distinct in its methodological approach and thereby adds value to existing literature on marketing and diffusion of EVs. The study explores the untapped gap in the current literature by helping identify reasons on the basis of which consumers made their choices of different EVs. Instead of analysing the potential antecedents of EV uptake, the study brings to light the actual reasons of EV purchase behaviour in the context of an emerging economy like India. That is to say, the horizon of EV motivations spans across technological, individual and regulatory attributes in the Indian automobile market. Practical implications This study is relevant and fulfils the underlying gap in the existing literature related to actual motivations that consumers look for before buying a high involvement product such as EVs. The results can be beneficial for marketers to design effective marketing strategies from the perspective of consumers. Promotional strategies addressing ease of using EVs and how battery technology is better than before needs to be clearly communicated by the marketers. Consumer education is necessary, in this regard, to make people aware of the rising air pollution levels. They have to be made understood the real advantages of owning EVs and how these non-conventional vehicles are far better when compared to traditional cars. In a nutshell, the study underscored potential determinants or reasons that made Indian consumers to go for EVs, based on statistically significant evidences which can be crucial for stakeholders operating in the Indian EV industry. Social implications The study has important implications for members of the community. By sacrificing their egoistic tendencies or individual preferences for energy intensive products such as ICE based vehicles, people can imbibe altruistic orientation and can contribute to the collective benefit of all by shifting towards energy rich vehicles powered by electricity. This is necessary to achieve the broader goals of sustainable development and to curtail the rising climate change phenomenon. Originality/value The study applied both quantitative (deductive) and qualitative (inductive) approach to study into the reasons for consumers’ purchase motivations towards electric cars. Taking a distinct methodological approach, the study enhances the knowledge on EVs by asking consumers to comment in their own words as to why they purchased EVs. This was necessary so as to better explore the needs of the Indian automobile market and which factors govern the purchase of EVs in domestic market. Past literature majorly focused on purchase intention towards EVs but this study in unexampled and analysed the purchase behaviour towards EVs. It should be noted that our investigation reveals the complexity of EV purchase reasons than those identified in past literature and it adds to the current pool of literature on EVs by explaining factors with unrivalled illustrative power.

DIGITAL CAPABILITIES, FIRM PERFORMANCE, AND INNOVATION CAPABILITIES: A COMBINED APPROACH OF PLS-SEM AND ANN

This study, rooted in the dynamic capabilities view, examines the influence of digital capabilities on the performance and innovation capabilities of manufacturing small and medium-sized enterprises (SMEs) in an emerging market. Surveying 297 manufacturing SMEs in Vietnam, the research employed partial least squares-structural equation modelling (PLS-SEM) and artificial neural network (ANN) to test hypotheses. The results show a positive effect of digital capabilities on process and product innovation capabilities. Despite an insignificant direct impact of digital capabilities on firm performance, technological uncertainty moderates this relationship positively. Notably, process innovation capability has no direct impact on firm performance, while product innovation capability’s impact on it is negatively significant. The study explored the roles of digital culture and digital leadership, offering novel contributions to understanding a firm’s digital and innovation capabilities. It provides practical implications for managers aiming to enhance firm performance by leveraging digital capabilities for innovation.

Mentoring magic: career calling as a catalyst for tacit knowledge transfer in executive development centers (EDCs)

PurposeThe goal of this study was to understand the relationships between mentoring roles, career calling, and the transmission of tacit knowledge in the setting of executive development centers. The purpose of this research was to determine if there is a link between mentoring roles and the transmission of tacit knowledge and, if so, to what extent mentoring structure and culture moderate this link.Design/methodology/approachThe study used a quantitative strategy based on partial least squares structural equation modeling (PLS-SEM) to examine information gathered from 287 workers at four executive development centers. Mentoring roles, vocational calling, and the transmission of tacit knowledge were quantified using scales derived from existing research.FindingsResults showed a beneficial association between mentoring roles and vocational interest. Tacit knowledge was more likely to be shared when it was directly related to one’s chosen profession. A person’s vocation mediated the connection between mentoring roles and the transmission of tacit knowledge. Furthermore, the form of mentoring moderated the relationship of mentoring roles and the transfer of tacit knowledge.Originality/valueThis study is novel because it investigates the interplay between mentoring roles, vocational vocation, and the transmission of tacit knowledge in a non-traditional business setting. This research emphasizes the mediating impact of vocation and the moderating effect of mentorship structure in influencing knowledge-sharing practices in Pakistan’s public sector.

Nexus of green human resource management and sustainable corporate performance: the mediating roles of green behavior and green commitment

PurposeThe driving force behind this study is the need to learn more about the ways in which green human resource management (GHRM) can impact sustainable corporate performance (SCP), especially in the context of Ho Chi Minh City's manufacturing sector. The primary objective is to analyze the roles of GHRM, green behavior (GBH) and green commitment (GCM) in relation to SCP, as well as identify the mediating roles of green behavior and green commitment in the relationship between GHRM and SCP.Design/methodology/approachThe research design employs a quantitative approach to investigate the nexus of GHRM and SCP, with a focus on the manufacturing sector in Ho Chi Minh City. Methodologically, the study integrates the ability-motivation-opportunity (AMO) and resource-based view (RBV) frameworks to construct a comprehensive theoretical model. Data are gathered from a sample comprising 322 senior managers and directors representing various enterprises. Analysis is conducted utilizing Smart PLS software version 3.3.7, employing partial least squares structural equation modeling (PLS-SEM) to assess both first-level and second-level variables in a two-step process.FindingsThe empirical findings underscore significant relationships between GHRM, green behavior, green commitment and SCP. Specifically, the study reveals that GHRM positively influences green behavior, green commitment and SCP. Additionally, both green behavior and green commitment exhibit positive effects on SCP. Furthermore, the research confirms the pivotal mediating roles of green behavior and green commitment in the relationship between GHRM and SCP.Originality/valueIn terms of originality and value, this study makes notable contributions to both theoretical understanding and practical implications in the field of sustainable business management. By delving into the intricate interplay between GHRM, green behavior, green commitment and SCP, this research extends existing knowledge and offers novel insights. Moreover, the identification of the mediating roles of green behavior and green commitment enriches the theoretical frameworks in this domain. The findings provide practical implications for businesses, particularly in Ho Chi Minh City's manufacturing sector, by emphasizing the significance of optimizing human resource practices for achieving sustainable development goals. This research thus contributes to enhancing competitiveness and sustainability in similar industries, offering valuable guidance for strategic decision-making and policy formulation.

Exploring the role of digital green marketing campaigns and environmental beliefs in shaping tourist behavior and revisit intentions in eco-tourism

Tourist behavior can have detrimental effects on eco-destinations, such as littering or starting fires. Digital green marketing campaigns and tourist beliefs, however, can influence visitor behavior. Using quantitative analysis, this study examines the role of digital green marketing campaigns and the visitors' beliefs about the environment on tourist pro-environmental behavior and their desire to revisit eco-destinations. The study was conducted by distributing an online survey to 306 respondents who have visited five ecotourism destinations in Indonesia. The acquired data was examined using the PLS-SEM (Partial Least Squares-Structural Equation Modeling) approach. The study found that digital green marketing campaign and tourists' beliefs about the environment positively impact tourists' environmental behavior and their desire to revisit eco-destinations. The tourism ecosystem, however, does not strengthen the relationship between tourist pro-environmental behavior and the revisit intention to eco-destinations. This study will add to the literature by examining the relationship between digital green marketing campaigns, visitors' environmental beliefs, pro-environmental behavior, tourism ecosystems, and revisiting intention to eco-destinations. The study will also provide Destination Marketing Organizations (DMOs) with specific recommendations to promote their eco-destinations, encouraging responsible travel and returning visits.

Buffering effect of psychosocial mentoring on the relationship between career mentoring and employee turnover intentions through attitude toward leaving

Purpose: This study seeks to examine distinct effects of career and psychosocial mentoring on employee turnover intentions in a moderated mediation model. Specifically, the purpose was to examine the mediating role of attitude toward leaving in the relationship between career mentoring and turnover intentions, and the moderating/buffering effect of psychosocial mentoring on the abovementioned mediating process.Design/methodology/approach: Hypotheses have been tested deductively by using cross-sectional data from 352 bank employees. Analyses have been performed by applying partial least squares structural equation modeling (PLS-SEM). Findings: The findings suggest that attitude toward leaving mediates the career mentoring-turnover intentions relationship, and psychosocial mentoring moderates this mediating effect.Research limitations/implications: This study integrates theory of planned behavior (TPB) and Eight Forces Framework of voluntary turnover, and extends organizational literature by unfolding how psychosocial mentoring buffers the mediating effect of attitude toward leaving on career mentoring-turnover intentions relationship. Study limitations are about cross-sectional nature of data and external validity of results.Practical Implications: This study’s contribution to practice is that organizations providing career mentoring to their employees should consider also the provision of psychosocial mentoring to avoid employee turnover intentions.Originality/value: This study adds value to organizational literature by examining a previously untested buffering effect of psychosocial mentoring on the mediating process between career mentoring and turnover intentions.

The role of augmented reality app attributes and customer-based brand equity on consumer behavioral responses: an S-O-R framework perspective

Purpose Augmented reality (AR) provides consumers with added value by allowing them to experience products via mobile devices. An increasing number of brands have adopted AR apps, but little is known about how consumers respond to AR app attributes or what motivates them to use luxury brand AR apps. To fill this gap, this study aims to use the stimulus-organism-response (S-O-R) model to examine how AR app attributes (i.e. interactivity and virtuality) and customer-based brand equity (CBBE) (i.e. brand awareness and brand image) of luxury brands affect consumers’ behavioral intention to share about the app and use it for future purchases. Design/methodology/approach Participants were recruited using a quantitative online survey (n = 214) and asked to use the Gucci mobile AR app before completing the survey. Partial least squares structural equation modelling (PLS-SEM) was used to analyze the data. All measures were adapted from existing literature. Findings Findings indicate that AR app attributes lead to positive consumer experience, in turn, creating behavioral intention, while CBBE partially leads to positive consumer perceptions. Post hoc analysis confirms that consumers’ perceived values mediate the relationship between AR app attributes and consumers’ attitudes toward a luxury brand AR app. Originality/value Theoretically, this study expands the application of the S-O-R model along with brand equity to AR adoption and luxury retail by demonstrating the intricate mechanism of how AR app attributes and CBBE promote consumers’ behavioral intentions toward luxury brand AR apps. Practitioners may create more interactive and immersive virtual product demonstrations and focus on establishing the overall brand image.

Navigating the Complexity of Generative AI Adoption in Software Engineering

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-methods approach to offer a comprehensive understanding of AI adoption dynamics. We initially conducted a questionnaire survey with 100 software engineers, drawing upon the Technology Acceptance Model, the Diffusion of Innovation Theory, and the Social Cognitive Theory as guiding theoretical frameworks. Employing the Gioia methodology, we derived a theoretical model of AI adoption in software engineering: the Human-AI Collaboration and Adaptation Framework. This model was then validated using Partial Least Squares–Structural Equation Modeling based on data from 183 software engineers. Findings indicate that at this early stage of AI integration, the compatibility of AI tools within existing development workflows predominantly drives their adoption, challenging conventional technology acceptance theories. The impact of perceived usefulness, social factors, and personal innovativeness seems less pronounced than expected. The study provides crucial insights for future AI tool design and offers a framework for developing effective organizational implementation strategies.

Effect of Service Quality on Repurchase Intention through Customer Satisfaction as an Intervening Variable

This research aims to analyze the effect of service quality on repurchase intention through customer satisfaction as an intervening variable at Public Fuel Filling Station Number 13227108, Jalan Jenderal Besar A. H. Nasution, Padangsidimpuan Batunadua District, Padangsidimpuan City. The research used in this research is associative research. The population in this study were customers of Public Fuel Filling Station Number 13227108, Jalan Jenderal Besar A. H. Nasution, Padangsidimpuan Batunadua District, and Padangsidimpuan City, the number of whom is unknown. By calculating the number of indicators as 17 times 7, the sample size for this study was 119 people. In this research, the data analysis method used is structural equation modeling-partial least squares (SEM-PLS) using SmartPLS software. Based on the research results show that service quality has a positive and significant effect on customer satisfaction at Public Fuel Filling Station Number 13227108, Jalan Jenderal Besar A. H. Nasution, Padangsidimpuan Batunadua District, and Padangsidimpuan City. Service quality has a positive and significant effect on repurchase intention at Public Fuel Filling Station Number 13227108, Jalan Jenderal Besar A. H. Nasution, Padangsidimpuan Batunadua District, and Padangsidimpuan City. Customer satisfaction has a positive and significant effect on repurchase intention at Public Fuel Filling Station Number 13227108, Jalan Jenderal Besar A. H. Nasution, Padangsidimpuan Batunadua District, and Padangsidimpuan City. Service quality has a significant effect on repurchase intention through customer satisfaction at Public Fuel Filling Station Number 13227108, Jalan Jenderal Besar A. H. Nasution, Padangsidimpuan Batunadua District, and Padangsidimpuan City.

EComplexity: validation of a complex thinking instrument from a structural equation model

The eComplexity instrument aims to measure the perception of achievement in the complex thinking competency and its sub-competencies. To ensure the reliability of this instrument, validation processes like the one presented in this article are necessary. Methodologically, this study evaluates data from 1,037 university students in Mexico, confirming the statistical validity and reliability of the instrument. As a result, the demonstrated reliability of the eComplexity instrument as a tool for measuring perceived achievements in complex thinking provides a valuable resource for assessing the effectiveness of educational interventions. Consequently, this research contributes to a more informed approach to fostering critical thinking skills, benefiting both theoretical exploration and practical application in educational settings. The study employs the Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate students’ self-perceptions of their performance in complex thinking and its sub-competencies, thus advancing the field of educational measurement. Academically, it enriches the discourse on the design and validation of instruments, offering a rigorous model for future efforts in measuring cognitive competencies. Practically, the study’s results inform educational practice by identifying systemic and scientific thinking as key to developing complex thinking skills. This knowledge enables educators to more effectively adapt teaching strategies and curricular designs, aiming to enhance students’ ability to navigate the complexities of the modern world.

Research on digital informal learning of sports knowledge of Chinese undergraduates

With the development of digital technology, the proportion of time spent on digital informal learning in students’ daily lives is increasing. However, digital informal learning behaviors in sports field have not been fully justified and studied. This article aims to investigate the current situation and influencing factors of digital informal learning of sports knowledge (DIL-S) of Chinese undergraduates. As a cross-sectional study, 401 non-sports undergraduate students from six Chinese universities completed the DIL-S measurement questionnaire. The partial least squares structural equation modeling (PLS-SEM) was constructed to explore association among DIL-S, technology expectancy (TE) and digital competence (DC). Results show that (1) Male students’ cognitive learning (CL) was significantly better than that of females; Senior students’ metacognitive learning (MCL) was significantly better than that of junior students; Sports university students’ cognitive learning, metacognitive learning, and social and motivation learning (SML) were significantly better than that of non-sports university students. (2) Digital competence has a significant positive impact on technology expectancy and digital informal learning of sport knowledge, while technology expectancy has a significant negative impact on digital informal learning of sport knowledge. Based on the results, following conclusions can be made (1) Undergraduates have a strong competence to use digital technology and have a high interest in using digital technology to participate in learning. However, they have a low investment in digital informal learning of sports knowledge fields. (2) Males’ sports knowledge learning consciousness and actual performance are better than girls; Compared with freshmen, senior students have stronger monitoring and planning ability for personal sports knowledge learning; The behavior of digital informal learning of sports knowledge in sports university students is better than that of non-sports university students. (3) Digital competence and technological expectancy are key factors influencing digital informal learning of sport knowledge, with digital competence having the most significant impact. These findings underscore the need to enhance the promotion of digital informal learning among undergraduates and to develop assessments that improve their understanding and knowledge of sports.

Financial Behavior and Debt Decision-Making: The Role of Sharia Compliance of Muslim Entrepreneurs in Pekanbaru

Debt decision-making is an alternative funding source solution for MSME entrepreneurs to meet business capital. This research aims to examine financial behavior that influences debt decision-making by moderating Sharia compliance. This research uses primary data through structured questionnaires from 200 Muslim MSMEs. The distribution of questionnaires used convenience sampling techniques. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to analyze data via SmartPLS software. The research results show that, overall financial behavior does not influence debt decision-making. However, each dimension of financial behavior, namely overconfidence, herding, and risk aversion, influences debt decision-making. Apart from that, Sharia compliance and its dimensions in the form of religious knowledge and religious motivation enhance the financial behavior and debt decision-making. Therefore, the research results indicate that Sharia compliance moderates the influence of financial behavior on debt decision-making.

Servant leadership’s impact on trust, commitment, and performance in higher education

<span lang="EN-US">This research examined the relationship between servant leadership (SL), organizational trust (OT), organizational commitment (OC), and task performance (TP). It employed a quantitative research design with partial least squares-structural equation modeling (PLS-SEM) and bootstrap estimation. Data were collected through a survey of 111 lecturers from 12 universities in Eastern Indonesia. It found that SL does not affect TP and OC. Meanwhile, OT affects OC but not TP. Further, OC does not affect TP. Therefore, OT does not affect TP through OC. Likewise, SL does not affect TP through OC. It practically implies that universities should be concerned the selection and placement of professional leaders. Successful professional leaders support and enhance the OC and TP of lecturers with SL. This study enriches leadership literature empirically examining SL, TP, OT, and OC in religious higher education. Besides, it provides evidence that SL in tertiary institutions does not exhibit a positive impact on lecturer performance. Institutional limitations lead to difficult situations and allow lecturers to accept reality. Furthermore, it uncovers challenges and demands the need for in-depth investigation of SL studies, which are paradoxical and contradictory to the previous SL theories and findings.</span>

The nexus of nurse work-life balance on performance: a case in private hospital

The healthcare organization is highly competitive, in which excellent service becomes crucial. As part of the healthcare front-liners, nurses become the main provider of such services, especially in private hospitals. Therefore, it is essential to enhance nurse performance to ensure hospital success. This study investigated the relationship between work-life balance (WLB) on nurse performance (NP) mediated by work engagement (WE) and psychological well-being (PWB). This cross-sectional study recruited 132 eligible nurses in a internationally-accredited type B private hospital (>200 beds). The proposed model of this study is analyzed using partial least square-structural equation modeling (PLS-SEM). The association between all studied variables is significant. The relation between WLB on NP mediated by WE and PWB is significant (p-value 0.000, zero fall, CI 95%)-WLB on PWB (ß=0.743), WLB on WE (ß=0.466), PWB on WE (ß=0.379), WE on NP (ß=0.351) and PWB on NP (ß=0.579). This study indicates that nurse WLB should be an essential aspect to consider in enhancing NP. The hospital should also monitor and evaluate WE and PWB in improving NP.

Impacts of Environmental Knowledge, Motives, and Behavior on Ecotourism

Trip cost indirectly reflects the perceived value (PV) related to a tourist destination, which can be influenced by knowledge, motivation, and behavior. This research investigated the relationship between PV and pro-environmental behavior (PEB). Moreover, the influence of environmental knowledge and motives on PEB was ascertained. Hikkaduwa National Park, Sri Lanka, was considered as a case study, and 235 visitors were interviewed for data collection. Partial Least Squares Structural Equation Modeling (PLS-SEM) was developed based on the proposed hypotheses. The average individual cost of traveling of local tourists is USD 4.7, which reflects the PV. The results revealed that motivation directly and indirectly impacts PV, and PEB positively influences PV. Environmental knowledge does not positively influence either PEB or PV. Motivating individuals to participate in environment-related activities is important for encouraging PEB and positively impacting value perception. As PEB influences PV in ecotourism areas, eco-friendly individuals will visit these areas as they value them more. Anthropogenic impacts are minimized if the visitors are environmentally friendly. Accordingly, this study highlights the desirability of promoting ecotourism and PEB for the environmental sustainability of marine habitats. The management of ecotourism destinations can develop strategies to use PEB to ensure the long-term survival of these areas.

Social Media’s Role in Shaping Millennials Halal Shopping Trends in Malaysia

Social media influencers (SMIs) have emerged as pivotal figures in advertising and critiquing products and services. They serve as credible sources, disseminating persuasive messages that significantly influence consumer purchasing behavior, particularly among Millennials. This paper investigates the factors pertaining to SMIs that shape the purchasing behavior of Muslim Millennials in Malaysia towards halal food products. Employing a non-probability sampling method, the study surveyed 403 respondents using Structural Equation Modelling-Partial Least Square (SEM-PLS). Data collection utilised a structured closed-ended questionnaire as the survey instrument. Results indicate that SMIs’ expertise impacts consumers’ attitudes and behaviors towards halal food products, with expertise serving as the sole mediator. Furthermore, SMIs wield significant influence over consumer purchasing behaviour by disseminating product reviews and advertisements to a broad audience. Factors such as trustworthiness, attractiveness, and expertise among these influencers directly impact the purchasing decisions of millennials. This study makes a significant contribution by enhancing comprehension of the latest digital and social media technologies’ relevance and importance.

Internet of things (IoT) driven structural health monitoring for enhanced seismic resilience: A rigorous functional analysis and implementation framework

Civil engineering infrastructures are increasingly becoming exposed to seismic loads, and at such a stage there is an increased need for alternative methods to fortify and enhance the resilience. The present study deals with the intricate linkage of internet of things (IoT) devices and the resilience of structures in a seismically affected zone. From the literature, the role of adaptive structural control, data acquisition and transmission, early warning systems, integration with building standards and codes, and real-time analytics and monitoring have been found to be the topmost aspects of ensuring resilience to seismic events. The seismically affected area of concern provides an in-depth analysis of the practical applications of the IoT in buildings in a seismic area. A survey was distributed to 239 respondents, and a very solid 58.99 % response rate proved the interest and participation of the respondents in the study. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), the researchers frame a measurement model which is applied to analyze the reliability and validity of the IoT constructs. Further, the bootstrap resampling mechanisms are adopted to test the five hypotheses rigorously. The findings establish robust connections between adaptive structural control, data acquisition, early warning systems, integration with building codes and standards, real-time monitoring and analytics, and IoT, contributing to enhanced seismic resilience. Infrastructure developers can draw management implications from these findings, while empirical researchers can utilize the verified framework to guide future studies.

The relation of clinical governance climate on quality of care mediated by patient safety culture

The hospital organization determines quality of care (QOC) from health services; however, there are many challenges due to the different backgrounds of healthcare workers. Essentially, governance is needed to guarantee a process oriented toward clinical outcomes. Unfortunately, research on clinical management with dimensional measurements conducted in private hospitals is still scanty. This study aimed to investigate the relationship between clinical governance climate (CGC) on QOC mediated by a patient safety culture (PSC) and the control variable adaptation to workload in relation to QOC. Participants were healthcare workers in two private hospitals that have been fully accredited; 416 participants met the requirements. Data were collected by distributing questionnaires in March 2023. Data were analyzed through partial least square – structural equation model (PLS-SEM). The study result indicated a significant positive relationship between CGC and PSC (β=0.851, p-value<0.05). Further, a positive relationship between PSC to QOC (β=0.654, p-value<0.05) was established. However, insufficient evidence indicates a direct relation between CGC on QOC (p-value>0.05). The role of PSC as a full mediating was confirmed (β=0.557, p-value<0.05, CI 95% 0.441-0.677). The finding of this study is the importance of CGC relation to QOC mediated by PSC in private hospitals.

Development of compliance theory based on self-regulation in chronic kidney failure patients on hemodialysis

Self-management in regulating diet, fluids, activities, and medication in chronic renal failure patients which getting hemodialysis is still worse. This research aimed to develop the theory of compliance based on self-regulation to increase patient obedience and awareness. A cross-sectional approach of 130 respondents was recruited using simple random sampling. Structural equation modeling partial least square (SEM-PLS) was the statistical analysis for this study. All indicators in the outer model showed outer loading value >0.7, it declared feasible to predict each of the latent variables. The R-square value of appraisal latent was 0.576, Coping was 0.897, and self-care compliance was 0.713. The model was relevant when applied in other research studies with a Q-Square value=0.832. The goodness of fit (GoF) was 0.832>0.36, which means that the model was applied well. The appraisal variable is the strongest variable that influences coping, based on the hypothesis test. The self-regulation-based compliance model for blood pressure, interdialytic weight gain (IDWG), sodium levels, and functional independence can be developed through analysis of the structural model.

Uniting communities: harnessing social capital for community resilience during coronavirus disease 2019

This research investigates the impact of both traditional and virtual social capital on community resilience, with engagement on social media as a mediating variable. The study surveyed 397 inhabitants of an urban <br /> sub-district in Palembang, Indonesia, and analyzed the data using the structural equation model partial least square (SEM-PLS) technique. The results indicate that it is critical to prioritize and activate various forms of social capital to enhance community resilience during the coronavirus disease 2019 (COVID-19) pandemic. The analysis showed that social media engagement had a significant positive impact on community resilience (p<0.05), however the influence of virtual bonding social capital was negligible and negatively skewed (p=0.084). It is significant to note that community resilience was significantly positively impacted by both traditional bonding and bridging social capital (both p<0.05). Social media involvement was also markedly positively impacted by virtual bonding and bridging social capital (both p<0.05). The link between virtual bonding, bridging social capital, and community resilience was strongly influenced by social media use in terms of mediation (both p<0.05). This emphasizes how important social capital, both physical and digital, and particularly social media participation, are to building community resilience during pandemics.