Search Results (35)

Industry 4.0 represents a significant transformation in industrial systems through digital integration, presenting both opportunities and challenges for aligning the workforce, especially in emerging economies like Thailand. This study adopts a sequential exploratory mixed-method approach to investigate how strategic human resource development (HRD) contributes to sustainable transformation, defined as the enduring alignment between workforce capabilities and technological advancement. The qualitative phase involved case studies of five Thai manufacturing firms at varying levels of Industry 4.0 adoption, utilizing semi-structured interviews with executives and HR leaders. Thematic findings informed the development of a structured survey, distributed to 144 firms. Partial Least Squares Structural Equation Modeling (PLS SEM) was used to test the hypothesized relationships among business pressures, leadership support, HRD preparedness, and technological readiness. The analysis reveals that business pressures significantly influence leadership and HRD, which in turn facilitate technological readiness. However, business pressures alone do not directly enhance readiness without the support of intermediaries. These results underscore the critical role of integrated HRD and leadership frameworks in enabling sustainable digital transformation. This study contributes to theoretical perspectives by integrating HRD, leadership, and technological readiness, offering practical guidance for firms aiming to navigate the complexities of Industry 4.0. Full article

This study assessed the effects of a family function (FF) program on excessive digital behaviors—smartphone overuse (SO) and phubbing—and psychological needs—anxiety, loneliness, and fear of missing out (FoMO)—among 28 Thai female Muslim adolescents randomly assigned to the experimental (M_age = 15.7) and control (M_age = 15.2) groups. The experimental group received two 1.5 h morning sessions of the FF program weekly over four weeks (eight sessions in total). Baseline assessments confirmed group homogeneity. Using repeated-measures ANOVA with Bonferroni correction (p < 0.008), the results indicated a significant improvement in family function for the intervention group (F (1,26) = 11.91, p = 0.002, η²_p = 0.31), with a strong time-by-group interaction (F (1,26) = 19.51, p < 0.001, η²_p = 0.43). While the program did not significantly reduce SO overall, a notable interaction effect suggested group differences (F (1,26) = 10.31, p = 0.004, η²_p = 0.28). Phubbing remained unaffected. For psychological outcomes, interaction effects were found for the FoMO (F = 10.00, p = 0.004) and loneliness (F = 8.67, p = 0.007), though no main effects emerged. Anxiety levels did not significantly change after correction. These findings suggest that the program effectively enhances family functioning and partially alleviates psychosocial risks, but further refinements are needed to address digital overuse and anxiety more effectively. Full article

Climate change presents urgent and complex challenges to agricultural sustainability and food security, particularly in regions reliant on resource-intensive staple crops. Smart agriculture—through the integration of crop modeling, satellite remote sensing, and artificial intelligence (AI)—offers data-driven strategies to enhance productivity, optimize input use, and mitigate greenhouse gas (GHG) emissions. This study introduces Farmdee-Mesook, a mobile-first smart agriculture platform designed specifically for Thai rice farmers. The platform leverages AquaCrop simulation, open-access satellite data, and localized agronomic models to deliver real-time, field-specific recommendations. Usability-focused design and no-cost access facilitate its widespread adoption, particularly among smallholders. Empirical results show that platform users achieved yield increases of up to 37%, reduced agrochemical costs by 59%, and improved water productivity by 44% under alternate wetting and drying (AWD) irrigation schemes. These outcomes underscore the platform’s role as a scalable, cost-effective solution for operationalizing climate-smart agriculture. Farmdee-Mesook demonstrates that digital technologies, when contextually tailored and institutionally supported, can serve as critical enablers of climate adaptation and sustainable agricultural transformation. Full article

This study investigates key factors influencing individuals’ intentions to incorporate digital assets into inheritance planning in Thailand. The research focuses on three primary determinants: demographic characteristics, knowledge of digital assets, and the perceived risks associated with their usage and transfer. Utilizing a quantitative research design, data were collected from 630 Thai respondents via a structured online questionnaire through convenience sampling. Binary logistic regression analysis was applied to identify statistically significant predictors. The results indicate that digital-asset knowledge, gender, age, income, saving behavior, and risk perception collectively account for a substantial variance in individuals’ intentions to use digital assets as part of their inheritance planning. Notably, knowledge and income positively influence adoption, suggesting that financial education and broader economic development may encourage increased usage. Conversely, factors such as age, gender, and perception of risks pose significant barriers, underscoring the need for targeted strategies to foster inclusivity. As digital assets transition from speculative tools to recognized financial instruments, their role in inheritance planning becomes increasingly relevant. This study contributes to a deeper understanding of this evolving financial landscape in the Thai context and offers insights applicable to other emerging markets undergoing similar digital transformations. Full article

The adoption of e-government in public sector entities is essential due to the trend of digitizing government services. Thailand has implemented a variety of e-government policy frameworks with the goal of improving citizen public service delivery, private sector benefits, and the public sector performance. This study examines the key elements influencing e-government adoption in Thai public sector organizations from citizens’ perspectives. This study employed a quantitative research design, collecting data from 450 Thai citizens, who have utilized or experienced e-government services, using a questionnaire. The data were examined using descriptive statistics and inferential statistics. This study’s findings from citizens’ viewpoints highlighted three important elements influencing e-government adoption in Thai public sector organizations: reliability, technology, and motivation. All characteristics have a favorable correlation with e-government adoption; however, the influence varies. The examination of these relationships enabled us to make suggestions on e-government adoption to the policymakers and public sector organizations. Theoretical and practical implications were addressed. The findings have practical consequences, since they provide Thai public sector organizations with a better understanding of the primary problems identified as potential barriers to e-government deployment. Furthermore, adopting e-government services not only benefits citizens, but also promotes communication between government agencies and the private sector. Full article

This study investigates the determinants of superior long-term business performance in Thai digital entrepreneurship through an innovative mixed-method approach combining Rough Set Fuzzy Theory and Second-order Confirmatory Factor Analysis. This research addresses a significant gap in the existing literature by incorporating business strategies, product innovation, social media adoption, and entrepreneurial orientation into a comprehensive framework, extending beyond traditional Technology–Organization–Environment (TOE) models. This study analyzes seven key factors that influence digital business success: technology, organization, external environment, social media adoption, business strategy, product innovation, and entrepreneurial orientation. The methodological approach employed for this study utilized expert consensus validation and model verification techniques to develop a novel integrated model specifically tailored for Thailand’s digital SME context. The findings reveal that business strategy and entrepreneurial orientation are primary drivers of business success. This research provides valuable insights for practitioners in the Thai digital entrepreneurship ecosystem, offering a structured approach to achieving sustainable long-term business success. Full article

In this study, our primary focus is the biomimetic design and rigorous evaluation of an economically viable and portable ‘e-nose’ system, tailored for the precise detection of a broad range of volatile organic compounds (VOCs) in local Thai craft spirits. This e-nose system is innovatively equipped with cost-efficient metal oxide gas sensors and a temperature/humidity sensor, ensuring comprehensive and accurate sensing. A custom-designed real-time data acquisition system is integrated, featuring gas flow control, humidity filters, dual sensing/reference chambers, an analog-to-digital converter, and seamless data integration with a laptop. Deep learning, utilizing a multilayer perceptron (MLP), is employed to achieve highly effective classification of local Thai craft spirits, demonstrated by a perfect classification accuracy of 100% in experimental studies. This work underscores the significant potential of biomimetic principles in advancing cost-effective, portable, and analytically precise e-nose systems, offering valuable insights into future applications of advanced gas sensor technology in food, biomedical, and environmental monitoring and safety. Full article

This applied research proposes a solution to the static government design process for Thai healthcare architecture to better serve the needs of its elderly society. In its place, a novel real-time design process, termed the Digital Twin Immersive Design Process (DT-IDP), repurposes aspects of digital twin and virtual reality technologies into a ‘unitary’ immersive design system. This system accesses ‘experiential’ user-centered data, helping enhance the design of Thai healthcare space beyond a standardized government response. This text builds a rationale for departing from the current design process by describing the formation and advantages of the DT-IDP process. To test its credibility, the DT-IDP process is used to build and compare two digital versions of an existing healthcare space. In these spaces, participants are immersed (elderly patients n = 30; nursing staff n = 5; government healthcare architects n = 5) to assess visitor experiences based on daylighting, artificial lighting, and views of nature. Following immersion, government healthcare architects are interviewed in-depth to evaluate the process’s efficacy and their willingness to adopt it. Results confirm the potential for this process to capture ‘user-centered’ insights, otherwise unobtainable without immersion. Consequently, healthcare architects express a unanimous preference for DT-IDP, acknowledging its unique capacity to bridge a market gap through an experiential component that could better assist them in creating a superior final product. Ultimately, they assert that demand for these features could have a disruptive impact to the current healthcare design process, helping to re-envisage the design of future Thai healthcare space. Full article

Background: The freight forwarding industry is undergoing digital transformation through the implementation of online platforms designed to enhance operational efficiency and transparency. Despite these benefits, the adoption of these platforms has been slower than anticipated due to customer concerns and industry-specific challenges. Methods: This study investigates the factors influencing the intention to adopt and the actual use of online platforms for freight forwarding services among business customers in Thailand. A modified Unified Theory for Acceptance and Use of Technology (UTAUT) model, incorporating perceived risk, serves as the theoretical framework. Survey data were collected from 400 respondents in managerial or higher-level positions involved in freight shipping within Thai firms and analyzed using a structural equation model (SEM). Results: The analysis reveals that performance expectancy, effort expectancy, social influence, and facilitating conditions positively influence adoption intention, while perceived risk negatively impacts it. Firm size moderates the effect of social influence, with a stronger impact observed in larger enterprises. Conclusions: The findings offer practical insights for Thai freight forwarders, suggesting strategies to improve customer acceptance and encourage the adoption of online platforms. Addressing the identified factors could lead to improved efficiency and greater integration of digital technologies in the logistics industry. Full article

This paper investigates the possible failure modes of the product development process in production companies that are active in the B2C markets with a focus on household products. Since these cases require short lead times and are difficult to differentiate, in many instances the result will not be the desired one and could affect profitability for a season or for good. A model of these possibilities is created and an approach to plan contingencies for their solutions is proposed in the article. The main guideline is to switch from failure probability determination to accepting failure as inevitable and using digital solutions to reinforce the development process to offset its impact. For this goal, an Industry 5.0 Abatement Factor (abbreviated IFAF) is introduced in the contingency planning approach, which factors in the evaluation of the low cost of digital instruments and the proper mix of Technology, Humans, and AI (abbreviated THAI). The new working procedure based on these concepts and their interlinkages is discussed based on specific examples. Full article

Background: While there is research on protective factors against smartphone addiction (SA) and phubbing, which impact adolescents’ physical, psychological, interpersonal, and academic well-being, focused studies on these issues among Thai Muslim students in Southern Thailand remain scarce. Objectives: To bridge this gap, this research aimed to explore the influence of five family functioning factors—discipline, communication and problem-solving (CPS), relationship, emotional status, and family support—guided by family systems theory and the McMaster Model, on SA and phubbing. Methods: Data from 825 Thai Muslim adolescent secondary school students (Female N = 459 (55.7%), M_age = 15.11 ± 1.78) across three southern Thai provinces were analyzed utilizing structural equation modeling (SEM). Results: Significant connections were identified between family functioning factors, particularly emotional status and discipline, and SA, and their impact on phubbing behavior. SA was found to mediate the relationship between these two family factors and phubbing. Interestingly, a higher quality of family relationships was found to be associated with an increased risk of SA, while the other two family functions—CPS and family support—demonstrated no significant association with these digital behaviors. Conclusions: Despite its limitations, including a cross-sectional design and reliance on self-reports, the study underscores the importance of specific family functions in preventing and addressing adolescent SA and phubbing. Full article

In today’s modern era, digital transformation serves as a crucial element for organizations to gain a competitive edge and optimize their operating systems. However, medium-sized enterprises in Thailand face difficulties in accessing capital market financing, despite its significance in promoting the development of small- and medium-sized enterprises according to the 13th National Economic and Social Development Plan. One potential solution to this issue is digital transformation, which can help these enterprises achieve their strategic business objectives and find a reliable source of funding while enhancing their reputation and credibility, thereby contributing to the growth of the economy as a whole. This study utilized a mixed-methods approach to explore how digital transformation can assist medium-sized enterprises in accessing LiVEx, a new capital market for Thai SMEs. We conducted extensive research and interviewed 12 senior executives across three groups, government agencies, LiVEx-listed companies, and social associations, to develop a questionnaire and conceptual model. Data collected from 360 individuals working in medium-sized enterprises in Thailand collected using an online questionnaire were then analyzed, using CFA and SEM techniques to validate the model. Our study emphasizes the importance of digital literacy, digital usage, and digital advocacy in the success of digital transformation in accessing Thai capital market financing. These findings serve as a valuable knowledge repository for future research. Full article

This study investigates the widespread adoption of mobile payments (m-payments) and their impact on different generations, particularly post-COVID-19. We fill a gap in research by suggesting a new way to understand this phenomenon through the lens of social cognitive theory. We employed a multi-stage sampling technique, including purposive, quota, and snowball sampling, to ensure comparable group sizes for four generations and obtained usable survey data from 716 Thai online shoppers. The results reveal direct and indirect (through perceived values) significant relationships between technological self-efficacy and m-payment intention. While perceived values, which constitute functional, emotional, monetary, and social values, fully mediate the relationship between technological self-efficacy and m-payment intention in Gen B and Gen X consumers, it only partially mediates such a relationship in the Gen Y and Gen Z cohorts. Our findings also provide crucial theoretical and practical insights for digital commerce in the evolving landscape of m-payment adoption. Full article

With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols. Full article

This study investigates the impact of various economic sectors on household income in Thailand. It is conducted in light of the substantial “digital wallet” scheme initiated by the Thai government, with the goal of providing empirical evidence and suggesting alternative policies for regional development informed by sectoral and spatial insights. The research aims to deepen the understanding of how different economic sectors affect household income, filling a gap in the current understanding of the relationship between sectoral productivity and income. Utilising spatial lag models (SLM), the study analyses data spanning from 2005 to 2021, testing the effects of 19 economic sectors comprising the Gross Provincial Product (GPP) of Thailand’s 76 provinces on the average household income. The findings indicate direct associations between agriculture, real estate, professional services, support services, and leisure sectors and household income, alongside pronounced spatial autoregression. This implies that income levels in one province can substantially influence those in neighbouring provinces. This research extends the understanding of economic influences at the regional level and highlights the importance of considering spatial factors in economic policymaking. Full article