Search Results (37)

The home-building industry is crucial to Thailand’s economic growth but unfortunately it is plagued by persistent sustainability problems stemming from fierce competition, cost fluctuations, and evolving consumer expectations. Therefore, this study sought to identify the main drivers of sustainable customer loyalty (CL) in the high-end home-building industry by integrating marketing communications strategy (MCS), service quality (SQ), and company management system (CMS) into a unified structural equation model (SEM). Data were collected from 680 customers registered with Thailand’s Home Builders Association through online and in-person surveys. Path analysis of latent variables using LISREL 9.10 showed that the model had strong explanatory power, explaining 72% of the variance of CL (R² = 0.72). MCS had the greatest total effect (β = 0.82), followed by SQ (β = 0.54) and CMS (β = 0.24). The results also showed how transparent communication interventions add to perceived quality while increasing management efficiency which jointly sustains long-term CL. These findings confirm that strategic communication, service excellence, and good corporate management provide the basis for the sustainable competitive advantage and economic resilience of Thailand’s home-building firms. The validated framework provides theoretical and managerial implications for incorporating sustainability into customer relationship strategies. Full article

A structural model of health and mental well-being among academic staff and students in Thailand was constructed and validated through confirmatory factor analysis (CFA). Data were obtained from 600 online questionnaires, equally distributed between staff (n = 300) and students (n = 300). Statistical analyses were undertaken in SPSS. Descriptive statistics were generated, internal reliability was assessed, and correlations were examined. The factor structure was first extracted through exploratory factor analysis (EFA). Model fit was subsequently assessed using CFA in LISREL. Five constructs were derived and validated: mental well-being (18 items), social participation (12 items), health literacy (28 items), work–life balance (10 items), and health behaviour (30 items). Convergent validity was demonstrated across all constructs. The final CFA model was found to exhibit a robust fit (χ² = 145.14, df = 62, p < 0.001, RMSEA = 0.047). Strong convergent validity and excellent fit indices were confirmed. Empirical evidence was therefore provided to support the model’s application in assessing health and mental well-being within Thai academic contexts. Full article

This study examines the impact of food authenticity and social media exposure on revisit intention, mediated by the roles of memorable culinary tourism experience and destination image. This research uses a quantitative approach with an explanatory research type. The survey was conducted on 400 domestic tourists who had experienced local culinary tourism in Magelang Regency through the distribution of questionnaires. Data analysis used Structural Equation Modeling (SEM) with the LISREL 8.8 software. The research results indicate that food authenticity and social media exposure have a positive and significant impact on revisit intention, mediated by the Memorable Culinary Tourism Experiences and Destination Image. These findings expand the Consumer Behavior Theory by integrating cultural and digital elements, strengthen the Stimulus–Organism–Response (SOR) Theory, and support the development of Brand Equity Theory in culinary tourism destinations. Full article

For the last few decades, the use of High-Speed Trains (HSTs) has been growing rapidly in various parts of the world. Despite rapid global expansion, many HST projects fail due to demand overestimation and cost overruns. This study analyzes factors influencing HST demand in Indonesia, aiming to identify impactful determinants from user perspectives. Employing a quantitative cross-sectional approach, this research utilized questionnaires distributed to users of different modes of transportation in the Jakarta–Bandung area, including trains, buses, travel services, and private cars. Structural Equation Modeling (SEM) via Lisrel software was used to analyze the data. The results indicate that Transit-Oriented Developments (TOD) and new urban areas significantly increase HST demand by facilitating urban growth and development. Additionally, supporting infrastructure and external factors such as road accessibility, parking availability, shuttle services, and environmental integration are pivotal in shaping commuter preferences. Although factors such as safety, comfort, and reliability are important, they alone may not be adequate to persuade consumers to use high-speed trains for their travel. Full article

This study aimed to analyze the influence of local politics, village facilitators, recruitment of administrators, training and education, and organizational culture on work motivation and management performance. The study was conducted in Wajo Regency, South Sulawesi Province, Indonesia, utilizing primary data collected from 250 participants, including administrators of village-owned enterprises (BUMDES), community leaders, and representatives from the private sector. The data were analyzed using structural equation modeling (SEM) with the LISREL program. The results indicated that the latent variables of local politics, village facilitator, recruitment of administrators, training and education, and organizational culture had a positive and significant impact on work motivation and management performance. These findings are valuable key indicators and provide essential insights for promoting and driving the BUMDES as a pillar of rural development strategies. Based on these findings, it is recommended that the local government revitalize the local political system, reorient the organizational culture of the BUMDES toward a modern business-oriented culture suited to rural conditions, and enhance the training and education of village facilitators to improve their motivation and performance. This recommendation will empower the BUMDES to promote rural economic improvement and sustainable rural development by enhancing work motivation and management performance. Full article

Past literature has advocated the integration of channels through the offline-to-online and online-to-offline models. However, little research has investigated the interrelationships effects between the two channels. Drawing on the literature from self-service technology (SST) and expectation–confirmation theory, this study aims to investigate key attributes of SST and assess their impact on consumer evaluations across offline-to-online and online-to-offline channels. A questionnaire survey was administered at convenience stores and 360 user responses were collected through a physical self-service kiosk. Two-stage structural equation modeling with linear structural relations (LISREL version 8.54) software was used for data analysis. The empirical results verified the attributes of physical SST (physical system’s service quality and perceived convenience) and online SST (virtual system’s service quality and perceived ubiquity) as critical antecedents of satisfaction and attitude and the subsequent behavioral intentions toward each channel. However, some transitional effects from offline (physical kiosk use) to online (kiosk app adoption) intention were not as significant as hypothesized. The offline attributes of perceived convenience and satisfaction had no significant impact on online SST significantly (kiosk app), except for the physical system’s service quality. Discussions and implications are provided, including strategies for concise functional design and essential SST services. Full article

In parallel with the global landscape, the architecture profession is losing its appeal in Turkey, as evidenced by a decline in school occupancy rates to 79%. Accordingly, the Higher Education System (YÖK) has decreased architecture program quotas by an average of 20%. This study establishes a comprehensive model outlining the key factors influencing these orientations to better understand architecture students’ career paths. This paper investigates how architecture students’ perceptions of the construction industry influence their career choices, particularly their likelihood of staying in the sector. The devised model is empirically validated via data collected from 419 online survey questionnaires. Utilizing SPSS 23 and LISREL 8.8 software, a range of analyses, including frequency, validity, reliability, exploratory and confirmatory factor analysis, and structural equation modeling, are conducted. The model posits “intention to stay in the sector (IS)” as a dependent latent variable, affected by independent latent variables like “nature of the profession (NP)”, “prestige (PR)”, “working conditions (WCs)”, “health and stress (HS)”, “salary and benefits (SB)”, “ethical and political processes (EPs)”, “authorities and responsibilities (AR)”, and “conformity to expectations (CE)”. The findings demonstrate that NP, PR, WCs, SB, HS, EPs, AR, and CE significantly influence IS. Particularly, NP and PR substantially impact the preference for the architectural profession and the determination to remain in the sector. In contrast, WCs, HS, SB, and EPs affect IS negatively. This research contributes significantly to the literature on the career intentions of architecture students by presenting a model that captures the factors influencing their career choices. The model is supported by substantial empirical evidence and is based on a comprehensive literature review. Full article

Using a structural equation modeling approach, this study has attempted to untangle the underlying pathways on how students’ demographics and pre-college characteristics that reflect academic preparation, combined with major factors formulated in the university environment, affect time to degree. It does so by developing and evaluating a conceptual framework whereupon time to degree is associated with specific observed or latent factors. A properly tailored Multiple Indicator Multiple Causes SEM was used for evaluating the hypotheses made on a sample of 1137 graduates which came from a Greek University of Social and Political Science, Athens, Greece. AMOS and LISREL packages were used for the analysis. The results reveal interesting direct and indirect relationships of the various predictor variables with time to degree. In particular, the great contribution of student performance and academic integration to time to graduation has been highlighted. However, the contribution of the pre-university features is also worthy of attention. Full article

The main purpose of this study is to examine how use and gratification and social presence might influence the purchase intention of the products presented in the short videos, mediated by perceived value, attitude, and digital dependency. The research model was constructed using structural equation modeling (SEM) and was tested by using the LISREL technique. Some significant findings of our empirical study include the following: First, use and gratification and social presence significantly enhance consumers’ perceived value, which subsequently positively influences their attitude towards short video content. Second, perceived value and attitude towards short videos have positive effects on digital dependency, which consequently enhances purchase intention. Third, digital dependency mediates the relationship between perceived value and purchase intention, as well as between attitude and purchase intention. We concluded that the AI system algorithm increases the likelihood of users encountering videos aligned with their preferences, thereby fostering a greater digital dependency. Businesses utilizing short video marketing must enhance content quality, focusing on user engagement and social presence, to effectively attract both new and returning viewers. When users possess a strong understanding of value and attitude, algorithms can cultivate a digital dependence on video content, subsequently influencing their purchase behavior. Full article

Understanding direct and indirect relationships of environmental, socio-economic and climate variables and the dynamics of epidemics is key to guiding targeted public health policy and interventions. This study investigates the direct and indirect effects of environmental and socio-economic factors on the COVID-19 dynamics in Africa (54 African countries from 2019 to 2021) using SEM approach. Specifically, the study aimed to: (i) assess the performance of two SEM estimation methods (Lisrel and PLS-SEM) in relationship to sample size (100, 200, 500, and 1000) and level of model complexity (No, two, and four indirect effects) and (ii) use the most performing SEM estimation method to examine direct and indirect effects of factors influencing the number of cases and deaths of COVID-19 in Africa. The results highlight a positive spatial correlation between factors such as temperature, humidity, age, the proportion of people aged over 65, and the COVID-19 incidence. Under the control of confounding factors, Lisrel turns out to be the most performing method, identifying climate, demographic and economic factors as the main determinants of COVID-19 dynamics. These factors have a direct and significant impact on the incidence of COVID-19. An indirect relationship was also observed between economic factors and the incidence of COVID-19 through air pollutants. The results highlight the importance of considering these factors in understanding the spread of the virus to avoid further disasters. Full article

This study aims to investigate the effect of knowledge sharing on organizational commitment. A conceptual model shows hypothesized relationships between knowledge sharing, psychological capital, and organizational commitment. Further, the roles of self-actualization and gender as moderators have been explored. The model is tested with data from faculty members from higher educational institutions in southern India. Using a structured survey instrument, data were collected from 368 faculty members and analyzed after testing the instrument’s psychometric properties using LISREL9 software for structural equation modeling. PROCESS macros were used to test hypotheses. The results reveal that (i) knowledge sharing significantly and positively impacts psychological capital and organizational commitment, and (ii) psychological capital mediates the relationship between knowledge sharing and organizational commitment. The results strongly support self-actualization as moderating the relationship between knowledge sharing and psychological capital. Further, gender as a moderator showed that the relationship between knowledge sharing and organizational commitment was stronger for female faculty compared to male faculty members. The theoretical contribution and practical implications are discussed. Keywords: knowledge sharing, psychological capital, organizational commitment, self-actualization, gender, higher educational institutions, India. Full article

This research aims to study and develop a model to demonstrate the causal relationships of factors used to forecast CO₂ emissions from energy consumption in the industrial building sector and to make predictions for the next 10 years (2024–2033). This aligns with Thailand’s goals for sustainability development, as outlined in the green economy objectives. The research employs a quantitative research approach, utilizing Linear Structural Relationships based on a Latent Growth Model (LISREL-LGM model) which is a valuable tool for efficient country management towards predefined green economy objectives by 2033. The research findings reveal continuous significant growth in the past economic sector (1990–2023), leading to subsequent growth in the social sector. Simultaneously, this growth has had a continuous detrimental impact on the environment, primarily attributed to the economic growth in the industrial building sector. Consequently, the research indicates that maintaining current policies would result in CO₂ emissions from energy consumption in the industrial building sector exceeding the carrying capacity. Specifically, the growth rate (2033/2024) would increase by 28.59%, resulting in a surpassing emission of 70.73 Mt CO₂ Eq. (2024–2033), exceeding the designated carrying capacity of 60.5 Mt CO₂ Eq. (2024–2033). Therefore, the research proposes strategies for country management to achieve sustainability, suggesting the implementation of new scenario policies in the industrial building sector. This course of action would lead to a reduction in CO₂ emissions (2024–2033) from energy consumption in the industrial building sector to 58.27 Mt CO₂ Eq., demonstrating a decreasing growth rate below the carrying capacity. This underscores the efficacy and appropriateness of the LISREL-LGM model employed in this research for guiding decision making towards green economy objectives in the future. Full article

The objective of this research is to develop a structural relational model that examines the relationship between environmental, social, and governance (ESG) variables and corporate social responsibility (CSR). Additionally, the study seeks to determine the impact of these factors on consumer behavior. This research endeavor included the gathering of data from Taiwan and Indonesia, with the aim of investigating the influence of ESG practices and CSR initiatives on customer attitudes and purchase intentions. The study used STATISTA 10 and LISREL to examine the impact of environmental, social, and governance practices on CSR activities. The findings indicated that the integration of environmental practices had a positive effect on CSR initiatives, but the influence of social and governance practices exhibited variability. The research emphasizes the importance of proficiently communicating environmental policies and proposes that organizations should prioritize environmental actions in order to bolster their brand and gain customer confidence. The results also underscore the need for consumer education about the ESG framework. The research closes by emphasizing the management implications, recommending that organizations should embrace a comprehensive strategy towards ESG and CSR policies in order to enhance company performance and ensure long-term sustainability. Full article

The Attention, Interest, Search, Action, and Share (AISAS) model describes consumer behavior in the era of the Internet and technological advances. This study aimed to analyze the effects of attention, interest, information seeking, and action on knowledge sharing on the issue of food waste. The respondents in this study were 302 students aged between 16 and 25 years across 11 universities in Indonesia, who were either members of a food waste community or not. Respondents were selected using the voluntary sampling method. Data were collected using an online self-administered questionnaire, and analyzed using structural equation modeling through the LISREL 8.80 software. The results of this study reinforce the theory of the AISAS model, which sometimes operates linearly. Our findings revealed that attention had a direct effect on interest and information search; interest had a direct effect on information search and action; information search had a direct effect on knowledge sharing; and actions had a direct effect on knowledge sharing. Suggested government measures include providing advertisements related to food waste that incorporate designs, sounds, visuals, and content to reflect emerging trends. Communities need to increase awareness to reduce food waste through concrete actions or knowledge sharing to rouse public interest. Full article

Maintaining the sustainable development of fascinating resources in Taiwan’s Hualien and Taitung (Huatung) regions is the basis of organic agritourism. Loyalty not only represents tourists’ commitment to return and recommend but also serves as a goal for destination development. The purpose of this study is to propose and examine the effect of destination fascination on loyalty through a conceptualized Reasonable Person Model (RPM), mediated by place attachment and pro-environmental behaviors. SPSS21 and the linear structure relationship model (LISREL) were used as data analysis tools in this study. A total of 500 valid online questionnaires were collected through snowballing and convenience sampling. The data analysis results revealed that destination fascination has a positive and significant impact on loyalty through place attachment and pro-environmental behavior. Another finding is that place dependence, place identity, and pro-environmental behavior all have mediating effects, with place identity being the main mediating variable. The contributions of this study are mainly reflected in examining the application of RPM in fascination and loyalty, as well as providing practical suggestions for destination fascination and place identity. Full article