Partial Least Squares Structural Equation Modeling Research Articles

Improving students' openness to artificial intelligence through risk awareness and digital literacy: Evidence form a developing country

The integration of technology, particularly artificial intelligence (AI) in learning process has the potential to enhance learning efficiency by offering diverse perspectives and quick information access. However, this reliance on AI can lead to overdependence, thereby diminishing the overall learning experience. This study aims to explore student acceptance and risk factors for learning using AI through the Technology Acceptance Model (TAM). This cross-sectional study surveyed 218 accounting students using a structured questionnaire. The internal consistency of latent constructs was verified through Cronbach's alpha, followed by exploratory factor analysis to ensure the unidimensionality of these constructs. The theoretical framework was tested using Partial Least Squares - Structural Equation Modeling (PLS-SEM). The result suggests that students with higher self-confidence demonstrate greater enthusiasm for learning AI, while digital literacy significantly influences the perceived ease of use. While accessibility is not prioritized, functionality and information accuracy are deemed more critical. The research model posits that perceived usefulness, perceived ease of use, self-efficacy, digital literacy, and perceived risk impact student acceptance of AI. Perceived usefulness and self-efficacy positively influence student acceptance, while perceived risk has a negative impact. Furthermore, it emphasizes the importance of increasing basic technological literacy among students in online learning environments. Despite these insights, the study is limited by its focus on accounting students, and future research should consider a broader demographic. This study contributes to the existing literature by highlighting the role of digital literacy and self-efficacy in AI adoption, offering valuable implications for educators and AI service providers.

Input-output-outcome innovation model: an analysis of the Brazilian manufacturing companies

PurposeThe objectives of this study are to identify which inputs are most relevant for development and successful introduction of product and process innovations and identify the impacts of these two types of innovation on the performance of Brazilian manufacturing companies.Design/methodology/approachThis study analyzes the relationships between input, output and outcome for a sample of 5,586 Brazilian manufacturing companies by using partial least squares structural equation modeling (PLS-SEM).FindingsThe results indicate that (1) product innovations are favored by internal resources, (2) process innovations are favored by external resources, (3) product innovations mainly affect a range of products offered by companies and (4) process innovations mainly affect performance in manufacturing capacity, flexibility and costs.Practical implicationsBy identifying the main efforts to improve the innovation performance and input-output-outcome relationships, the results can contribute to a better decision-making process for innovation investments and management in companies as well as for policymakers. The results are particularly relevant given that the Brazilian case can serve as a reference for other emerging countries.Originality/valueAnalyses of the innovation in input-output-outcome relationships were performed in a comprehensive way by using a set of variables for defining each construct. This allowed each construct to be better measured, which improved the understanding of the relationships between inputs and outcomes mediated by product and process innovations.

The Effect Of E-Service Quality And E-Trust On Buying Interest In Shopee Pay Users In The Millennial Generation

The use of e-wallet is increasing as online transactions increase in Indonesia. This research is an explanatory study that aims to find out the influence of E-service quality and E-trust on the interest of using ShopeePay when shopping online among Millennials in DKI Jakarta. The population of this study is the entire Generation of Millennials in DKI Jakarta who have used ShopeePay at least three times when making online transactions and the number is unknown. Sampling technique used is purposive sampling techniques on condition samples are Millennial Generation, live in the territory of DKI Jakarta and have used ShoppePay at least 3 times. Data collected through the spread of the google form questionnaire to the Millennial Generation. Data analysis using SmartPLS 3.0 Partial Least Squares Structural Equation Modeling (PLS-SEM). Research results show that E-Service Quality and E-Trust have a positive and significant influence on purchasing interest using ShopeePay on the millennial generation in DKI Jakarta. According to research results, 92.9% of Millennial Generation interest in using ShoppePay is influenced by E-Service Quality and E-Trust. The findings confirm that it is important for e-wallet service providers to focus on improving the quality of electronic services and building user confidence to boost purchasing interest.

Weaving the tastes of tradition: Uncovering the threads of India’s culinary identity amid globalisation

ABSTRACT In the face of globalisation’s homogenising wave, this study serves as a beacon, illuminating the intricate web of factors that safeguard culinary heritage in India. The study hypothesised that a myriad of elements interweaves to form the fabric of food traditions, which in turn fortify collective identity. To validate this, the study engaged 696 individuals via an online survey, employing advanced statistical tools such as path analysis and partial least squares structural equation modelling (PLS-SEM) to unearth the core determinants of gastronomic lineage. Moreover, multiple regression analysis was utilised to measure the impact of these culinary practices on personal and cultural identity. The study’s revelations are profound, demonstrating that each of the 18 determinants meticulously chosen for this research significantly contributes to the crafting of Indian food heritage, thereby seasoning the identity of the future with the flavours of the past.

Identifying group metacognition associated with medical students’ teamwork satisfaction in an online small group tutorial context

BackgroundCollaborative learning is an essential pedagogy in medical education, within which small group learning constitutes an integral component. Online small group teaching has been widely applied and blended with in-person sessions in the aftermath of the Covid-19 pandemic. This study examined whether group metacognition was associated with teamwork satisfaction in an online small group teaching curriculum for medical students.MethodsWe enrolled medical students of the 2nd and 4th years during the 2021 fall semester after they participated in 3 consecutive sessions of online small group tutorials (SGTs), which have been implemented in our medical school for more than 20 years. The students completed a group metacognitive scale (GMS) and a teamwork satisfaction scale (TSS) after the sessions. We analyzed whether group metacognition in 4 dimensions (knowledge of cognition, planning, evaluating, and monitoring) could be connected with medical students’ teamwork satisfaction using partial least squares-structural equation modeling (PLS-SEM).ResultsA total of 263 medical students participated in this study. Both GMS and TSS exhibited good reliability and validity. Three of the 4 dimensions of group metacognition (cognition, planning, and evaluating) positively correlated with teamwork satisfaction (path coefficients 0.311, 0.279, and 0.21; p = 0.002, 0.002, and 0.043, respectively) following the online SGT curriculum, whereas the monitoring dimension did not (path coefficient 0.087; p = 0.357). The model achieved an adjusted R square of 0.683.ConclusionWe discovered that group metacognition correlated positively with better teamwork satisfaction, supporting the importance of group metacognitive competency for online collaborative learning.

Bonding with the destination brand during crisis: the role of message consistency

PurposeThis paper studies the process by which tourists establish relationship quality with the destination brand in a crisis situation and the role that message consistency pursued through integrated marketing communications (IMC) has in this process.Design/methodology/approachRelationship quality was analyzed through three key marketing variables: satisfaction, trust and commitment. The impact of message consistency on relationship quality was tested using partial least squares structural equation modeling (PLS-SEM).FindingsResults confirm the interplay between the three relationship quality dimensions and suggest that message consistency directly influences tourist satisfaction and trust in destination service providers, with its impact on affective commitment being mediated by satisfaction.Research limitations/implicationsThis research study is limited to only one geographical context and one type of destination stakeholders.Practical implicationsMessages that consumers receive about a destination brand through multiple touchpoints must be consistent and non-contradictory to reduce consumers' uncertainties during the crisis.Originality/valueThis paper examines an underinvestigated research area of the effects of IMC on consumer–brand relationship outcomes in tourism. The study has a number of theoretical and practical implications for destination marketers during and beyond a crisis situation.

The development of intrinsic capacity measures for longitudinal research: The Longitudinal Aging Study Amsterdam

BackgroundThe World Health Organization has introduced the construct of intrinsic capacity (IC) as an important component of healthy ageing and overall well-being in older adults The present study aimed to develop domain-specific and composite IC scores and to validate these scores by examining their longitudinal relation with functioning. MethodsWe used prospective data on participants aged 57 to over 90 years, with a 10-year follow-up, from the Longitudinal Aging Study Amsterdam, an ongoing cohort study of older Dutch men and women Using a formative, stepwise approach, we identified indicators across the different domains of IC, i.e. vitality, sensory, cognition, psychology, and locomotion, using a combination of unidimensional factor analyses and Partial Least Squares Structural Equation Modelling (PLS-SEM). Next, domain-specific and composite IC scores were generated, and the construct validity (score across age groups) and criterion validity (relationship with change in functional limitations) were assessed. ResultsThe multiple unidimensional factor analyses and PLS-SEM identified a total of 18 indicators, covering the five domains of IC. The mean composite IC score was 70.9 (SD = 0.9) in men and 69.7 (0.8) in women. The domain-specific and composite IC scores all showed good construct validity, with known-group validation results indicating age-related declines. A higher composite IC score was associated with less functional limitations over time (B = 0.20, 95%CI [0.19, 0.22]). ConclusionThe developed domain-specific IC scores and the composite IC score effectively discriminated age-related declines in IC. Additionally, the composite IC score was longitudinally associated with functional limitations. By creating this comprehensive and reliable tool for tracking IC, we aim to provide valuable insights into the dynamics of ageing and support more effective strategies for promoting health and well-being throughout later life. These scores establish a foundation for future research to track longitudinal changes across various IC domains and relate these changes to key age-related outcomes.

Empirical insights into business intelligence adoption and decision-making performance during the digital transformation era: Extending the TOE model in the Jordanian banking sector

Organisations have been increasingly adopting decision support and business intelligence (BI). However, there is still considerable academic interest in comprehending the factors that influence the decisions to embrace such technologies. Moreover, the use of BI in developing countries, like Jordan, is remain at an early stage. This study examines the factors that impact the adoption of BI in the banking sector. This research also examines at the impact of BI adoption on decision-making performance in Jordan commerce banks. A conceptual framework was formulated as an extension of the Technology-Organization-Environment (TOE) framework to determine how technological, organizational and environmental factors influence the adoption of business intelligence (BI) in the banking sector. An empirical analysis was conducted with a sample of employees working for Jordanian commercial banks. Hypotheses were analysed through partial least squares structural equation modeling (PLS-SEM) using 251 responses that were obtained from respondents using an administered a questionnaire. The outcomes display a significant positive relationship between the TOE factors and the adoption of BI, which emphasizes their criticality as far as shaping BI adoption in commercial banks is concerned. However, it could be noted that organisational readiness related to one of the organisation’s factors has not been found to affect BI adoption. This suggests that further scrutiny is required on specific organisational aspects that can impact on BI adoption in banking environments. Moreover, the study revealed that the adoption of BI greatly improves decision-making performance. These findings highlight the importance of the Jordanian banking sector embracing a complete approach that incorporates cutting-edge technology solutions, a conducive organisational culture, and adaptability in order to maximise the adoption and use of BI. This report provides significant insights for banks aiming to improve their adoption of BI and perform informed and data based decisions in the continually evolving banking sector. The study provides numerous theoretical and practical contributions, acknowledges its limitations, and offers possibilities for future research.

The effects of resident-tourist interaction quality on residents’ pro-environmental behaviour through improved relationships: a combination of symmetric and asymmetric analysis

Cultivating residents’ pro-environmental behaviours (PEBs) is crucial for tourism destinations to promote sustainable development. While residents’ PEBs has become a popular area of research, limited consideration has been given to whether and how interactions between residents and tourists influence residents’ PEBs, leaving this research domain underexplored. Based on self-determination theory and complexity theory, this research explores how social antecedents affect residents’ PEBs by conducting Partial Least Squares Structural Equation Modelling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) analyses. An empirical survey was conducted among 535 residents of the West Lake Scenic Area, a major tourism destination in China. The PLS-SEM results demonstrated that high-quality resident-tourist interaction facilitated residents’ closeness with tourists and their attachment to the destination, which, in turn, contributed to residents’ active engagement in PEBs. The results from fsQCA indicated that relying exclusively on PLS-SEM may be insufficient for achieving a comprehensive understanding of the proposed research model. According to fsQCA, this study identified 11 distinct solutions that sufficiently explain high levels of residents’ PEBs, demonstrating how various antecedents work in unison to facilitate residents’ PEBs. This research concluded by proposing theoretical and practical implications of facilitating residents’ PEBs.

Family burden and psychological distress among Chinese caregivers of elderly people with dementia: a moderated mediation model

BackgroundAlthough the Stress-Coping Model (SCM) has been widely used to explain the coping process of individuals facing stressful situations, its applicability to caregivers of elderly people with dementia (PwD) in China needs to be further investigated. Furthermore, the role of external resources in caregivers stress coping is not yet clear. Therefore, our study aimed to investigated the mediating and moderating mechanisms between family burden and psychological distress in PwD caregivers based on the SCM.MethodsA cross-sectional study, with 193 pairs of PwD and caregivers completed the self-designed questionnaire, Family Burden Scale of Disease, Kessler Psychological Distress Scale, General Self-Efficacy Scale, Simplified Coping Style Question, The Family Adaptation and Cohesion Evaluation Scales II-CV and Social Support Rating Scale. Partial least squares-structural equation modeling (PLS-SEM) analyzed the mediating and moderating effects.ResultsFamily burden positively correlated with psychological distress; the chain mediation effects of self-efficacy and positive coping between family burden and psychological distress was significant; the interaction term (family function_positive coping) did not but (social support_positive coping) had a significant positive impact on psychological distress.ConclusionsThe findings provides a practical basis for the use of SCM in informal caregivers of elderly PwD, assists understanding the mechanism of the relationship between family burden and psychological distress. And it supplies new perspectives for reducing the negative psychological health status and a theoretical basis for designing interventions for caregivers.

The impact of intellectual capital and market capitalization on corporate investment decisions: exploring the mediating and moderating effect of knowledge sharing and the COVID-19 pandemic

PurposeThis paper examines the effect of intellectual capital (IC) and market capitalization (MC) on corporate investment decisions (ID) through the mediating and moderating effects of knowledge/information sharing (KS) and the Covid-19 pandemic.Design/methodology/approachWith the use of SPSS 26 and SmartPLS version 3.0, the partial least square structural equation modelling (PLS-SEM) technique is employed with 1,036 observations to examine the effects.FindingsOur findings show that IC and social interactions (SI) have a positive effect on KS. KS affects positively both MC and ID. KS has the mediating and moderating effects while the Covid-19 has the moderating impact on ID.Practical implicationsThis research suggests that company leaders should understand the important role of IC and MC in enhancing ID through KS. They should pay attention to MC to enhance their investment and SI among employees, partners, consumers and authorities should be encouraged.Originality/valueThis research contributes to the existing literature by employing the perceptual scale to examine the effect of IC and MC, the mediating and moderating effects of KS, and analyze the moderating role of the Covid-19 on ID. It also expands the current models by including the Covid-19 and MC to clarify the ID determinants. New measurements of MC and the Covid-19 constructed are also another contribution.

Assessing the Impact of Women Discrimination in HRM Practices on Three-component Model (TCM) of Organizational Commitment: A Study on the Indian Banking Sector

Notably, social-psychological approaches such as relative deprivation theory (personal and collective) and social exchange theory posit that there exists a negative association between women discrimination in HRM practices and organizational commitment. It is pertinent to note that the study of organizational commitment is significant across behavioral and attitudinal perspectives as well as differing conceptualizations. Considering this, the present study aims to investigate the causal linkages between women discrimination in HRM practices and the three-component model (TCM) of organizational commitment in the Indian banking sector. To test the hypothesized relationships, partial least squares structural equation modeling (PLS-SEM) was used on a sample of 394 women employees from the following banks in Northern India—State Bank of India, Punjab National Bank, Housing and Development Finance Corporation Bank, and Jammu and Kashmir Bank. The results obtained revealed that women discrimination in HRM practices has a significant negative impact on all three components of the TCM approach of organizational commitment—affective commitment, continuance commitment, and normative commitment. Specifically, the negative effect was found more on affective commitment and normative commitment, unlike continuance commitment. Consequently, the current study has thrown light on theoretical and managerial implications along with directions for future research.

Consumer Perception of Environmental Protection to Promote Mindful Consumption Behaviour through Mindfulness and Ascription of Responsibility

The fast fashion business under fire for its detrimental effects on the environment, and the economy. A lot of companies are taking ethical marketing tactics to urge consumers to be more responsible and conscious while making purchases. Study measure the impact of consumer ethical marketing perception environmental protection on mindful consumption through mindfulness and ascription of responsibility. Quantitative cross-sectional survey approach used. Test model used 321 final responses. Variance-based partial least squares structural equation modeling (PLS-SEM) was employed to examine the survey data. The outcomes indicated that fostering a mindful consumption behavior marketing tactics can play significant role. Consumer perception of environmental protection strategies can enhance the consumer responsibilities and their mindful mindset. Which ultimately influence their behavior. The research offers insightful information on ethical marketing tactics that local markets may use to promote mindful behavior and to support sustainable policies and practices in the fashion industry.

UNLOCKING ACADEMIC SUCCESS IN THE DIGITAL AGE: HOW SOCIAL MEDIA USE, SOCIAL ENGAGEMENT, AND SELF-REGULATION SHAPE UNIVERSITY STUDENTS' PERFORMANCE

In the digital age, social media has become an integral part of university life, influencing students' academic performance and social engagement. This study investigates the relationships between social networking site (SNS) usage, social engagement, self-regulation, and academic performance among Chinese university students. Utilizing a sample of 438 students from a public university, data were collected through a structured questionnaire administered via WeChat and Ding Talk. The analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS version 4.1 to test the proposed hypotheses. The results indicate that SNS usage significantly and positively influences students' academic performance and social engagement. Furthermore, social engagement was found to mediate the relationship between SNS usage and academic performance, suggesting that the benefits of social media extend beyond mere academic collaboration. Additionally, self-regulation was identified as a moderating factor, strengthening the positive impact of SNS usage on academic performance. These findings highlight the importance of leveraging social media as a tool for enhancing academic success while emphasizing the need for self-regulatory skills in navigating digital environments. This study provides valuable insights for educators and policymakers aiming to optimize the academic potential of social media in higher education settings. KEYWORDS: Social networking site usage, Social Engagement, Academic Performance, Self-Regulation

PENGARUH CUSTOMER RELATIONSHIP, STRATEGIC SUPPLIER, INFORMATION SHARING & POSTPONEMENT TERHADAP ORGANIZATIONAL PERFORMANCE YANG DIMEDIASI INBOUND DAN OUTBOUND INNOVATION

Technological advancements and the growth of e-commerce have increased the complexity of supply chain management, making it more vulnerable to disruptions. The COVID-19 pandemic has highlighted this vulnerability, leading organizations to reassess traditional risk management approaches and emphasize collaborative partnerships to enhance supply chain value. This study aims to evaluate the impact of Customer Relationship (CR), Quality of Information Sharing (QIS), Strategic Supplier Partnership (SSP), Postponement (P), Top Management Knowledge Value (TMKV), and Knowledge Sharing Practice (KSP) on Organizational Performance (OP), with Inbound and Outbound Open Innovation (IOI and OOI) as mediating variables. Data was collected from 164 professionals in Jakarta using the Purposive Sampling method through online questionnaires on Google Forms. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results of the study show that all independent variables positively affect organizational performance, although not all of these effects are significant. This indicates that effective integration between Supply Chain Management strategies and Open Innovation can improve organizational performance. TMKV has a significant positive impact on KSP, KSP also has a significant positive impact on IOI, IOI has a significant positive impact on OP, and KSP mediated by IOI is proven to have a significant positive effect in supporting OP, while OOI mediation is not proven. This study is not intended to generalize a theory due to the limitations in sample size, industry, and geographical area.

A dynamic capability perspective on the impact of big data analytics and enterprise architecture on innovation: an empirical study

PurposeThe prevailing conceptualization of information system (IS) capabilities, rooted in the resource-based view (RBV) framework, tends to focus on unique firm resources. In the digital age, as emphasized by dynamic capabilities (DC), resource reconfiguration is critical in maintaining strategic advantage. This paper focuses on big data analytics capabilities (BDAC) from a DC perspective to present a novel conceptualization of BDAC–DC. We examine its effects on product, business model and business process innovation, including the effects of enterprise architecture (EA) on the BDAC business model innovation relationship.Design/methodology/approachThis research presents a novel DC-based BDAC conceptualization, operationalized as a hierarchical construct. A survey-based approach is used for data collection and data analysis is done using partial least squares structural equation modeling (PLS-SEM).FindingsThe novel conceptualization and the effects of BDAC DC on BDA sensing-seizing and reconfiguration capacities support BDAC’s functional and evolutionary roleplay. Empirical results confirm the positive effects of BDAC–DC on first-order value targets (innovation) and the moderating effects of EA.Research limitations/implicationsThe novel BDAC–DC conceptualization has several implications for BDAC, DC, EA and business value research. Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation.Practical implicationsPracticing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation for synergistic outcomes.Originality/valueTo the best of our knowledge, this research is the first attempt toward DC-based BDAC conceptualization, empirical validation of first-order effects on various forms of innovation and the often-overlooked role of critical EA capability.

The mediating of perceived organizational support between ethical leadership and employee engagement at information and communication technology telecommunication in Palestine

This paper recognizes the gaps in previous studies and provides insight into the significance of leadership guided by ethical principles in influencing employee engagement through the mediating role of perceived organizational support (POS). Thus, this paper aims to examine the impact of ethical leadership on employee engagement and to determine whether perceived organizational support (POS) mediates the relationships between both constructs. This study used a quantitative research method and collected data from 328 employees in the Information and Communication Technology telecommunications sector in Palestine. The hypotheses underwent examination through the application of partial least squares structural equation modeling (PLS-SEM). The findings show that 328 people responded to the current study's questionnaire. Ethical leadership the dependent variable was strongly impacted by perceived organizational support (EL POS) at the significant level of 0.01 (β = .697, µ =.0.669, SD=0.035, t=20.104, P=0.000 and f^2= 78% respectively. All of the study's variables had some effect on the dependent variable and employee engagement. Similarly, the remaining hypotheses are verified. When the R-squared adjusted values of the independent variables for the variance of employee engagement were more than 53 percent, the R-squared multiple correlations (R2) for the dependent variables indicated that the model appropriately matched the data.

The influence of tangibility, reliability and responsibility on the financial performance of banks with mediating role of customer satisfaction

The study explores the relationship between customer satisfaction and the financial performance of banks, focusing on mediating factors. This study aims to investigate in detail the impact of responsibility, tangibility, and reliability on banks’ financial performance, with a particular emphasis on the mediating function of customer satisfaction. The primary objectives are to analyze how these service quality dimensions influence customer satisfaction and, subsequently, financial outcomes. The research is grounded in the theory that higher levels of customer satisfaction lead to improved financial performance through increased loyalty. Using Employing Partial Least Squares Structural Equation Modelling (PLS-SEM), the study analyzes data collected from commercial bank clients in Kazakhstan over a four-month period, from November 2023 to February 2024. The dataset includes responses from approximately 200 participants, ensuring demographic representation through a stratified random sampling method. Hypotheses regarding customer satisfaction, reliability, responsibility, and tangibility were tested. Findings reveal a significant positive relationship between customer satisfaction and financial performance, indicating that higher satisfaction levels contribute to improved financial outcomes for banks. These findings highlight the multidimensional nature of customer satisfaction and underscore the importance of addressing various factors to enhance financial performance in the banking sector. This study contributes theoretical insights and practical implications for banks aiming to optimize their financial performance through customer-centric strategies.

Compliance to building thermal envelope insulation requirements based on theory of planned behavior (TPB) and procedural justice theory (PJT)

The construction industry plays a crucial role in achieving sustainable development, particularly in the context of energy conservation. addressing the building's optimized energy efficiency is essential, as it accounts for a significant portion of global energy consumption. While many countries have implemented policies related to building energy conservation, the lack of compliance with relevant regulations remains a challenge. However, voluntary self-regulated compliance can be encouraged through flexible approaches that leverage normative influence and equitable governance attributes within the regulatory system. This study evaluates the building contractors' intention to comply with the Building Thermal Envelope Insulation Requirements (BTE-IR), a critical energy conservation measure for buildings. An integrative model combining the Procedural Justice Theory (PJT) and the Theory of Planned Behavior (TPB) was developed to quantitatively investigate individual and social factors influencing compliance with BTE-IR. The study analyzed a sample of 214 Iranian building contractors using Partial Least Squares Structural Equations Modeling (PLS-SEM). The core findings revealed that subjective norms (β = 0.330, p < 0.01) and perceived behavioral control (β = 0.337, p < 0.01) significantly influence intention to comply with BTE-IR. Additionally, the study explored the moderating effects of job satisfaction, job commitment, years of experience, project experience and marital status on the relationships between variables in the research model. These findings can inform construction industry policymakers in developing optimized strategies for self-regulated compliance with BTE-IR and legitimizing the regulatory system for enforcing sustainable practices.

Revealing the Secrets of Metaverse Technology Adoption for Sustainable Performance via Dual-Stage SEM-ANN Analysis

The growing ubiquity of the metaverse among small and medium-sized enterprises (SMEs) offers a game-changing chance for creative business plans and improved communication. This adoption reduces the consumption of physical resources and promotes an environmentally responsible business model in besides increasing operational efficiency. In accordance with the Sustainable Development Goals (SDGs) of the UNDP, our study attempts to clarify how the metaverse might improve the sustainable performance of SMEs. We developed a comprehensive study model based on the diffusion of innovation (DOI) and technical organizational and environmental (TOE) paradigms. For data analysis a hybrid approach merging partial least squares-structural equation modeling (PLS-SEM) and artificial neural network (ANN) was implemented. The study highlights the crucial roles of relative advantage, value alignment, compatibility, and top management after analyzing data from 369 respondents across Chinese SMEs that was collected both physically and online. The understanding of decision-makers becomes evident as a crucial element impacting the adoption of metaverse and ensuing sustainable (social, economic, and environmental) outcomes. This study offers valuable insights on metaverse adoption and sustainable performance for Chinese SMEs. Additionally, it offers appropriate suggestions for managers of SMEs, policy makers, and metaverse developers.