Journal of Innovation and Management

Development Capacity of Community Sellers in the Supply Chain of Seedless Tamarind Business to Stimulating Local Economy

Dussadee Buntam, Tanakij Thamee, Anucha Wilaikaew, Paumsak Pantang — Tue, 30 Jun 2026 00:00:00 +0700

This research aims to examine the income distribution patterns within the seedless tamarind business supply chain, analyze online content factors affecting consumer interest, and empower "Community Salespeople" through technology transfer. The study was conducted in key production areas, including Uttaradit, Loei, and Phetchabun provinces. Using a mixed-methods approach, data were gathered from 15 key informants across the supply chain, a survey of 409 consumers, and a development group consisting of 100 farmers and unemployed individuals trained to become community salespeople. The findings reveal a significant income disparity within the supply chain,
with the majority of profits concentrated among processors and distributors, while upstream farmers received the lowest share. Elevating the role of farmers to community salespeople proved to be a vital mechanism for redistributing income more equitably. Regarding digital marketing, the content styles that most effectively stimulated consumer purchase interest were entertainment-based content and unique, personal branding (Vlog style). Furthermore, the capacity-building process through practical technology transfer successfully equipped participants with digital marketing skills, resulting in a substantial average income increase of 222.22% and the highest level of participant satisfaction. This study demonstrates that establishing a local digital presence serves as a sustainable prototype for expanding market channels and stimulating the grassroots economy.

Application of LEAN Concepts to Develop Service Procedures for the Computerized System Management: A Case Study of 1ST Army Area

atikan maungngeon, Chanin Chuearungroj — Tue, 30 Jun 2026 00:00:00 +0700

This research aimed to study and improve the computer equipment maintenance management process by applying Lean Thinking, to design and develop a computer equipment maintenance management system, and to evaluate user satisfaction. The study was conducted as research and development, with a sample of 30 government officers from the First Army Area Command selected through purposive sampling. The system development followed the System Development Life Cycle (SDLC), including requirement analysis, system design, development, testing, and implementation. ReactJS was used for front-end development, Node.js for back-en processing, and MySQL for database management. The developed system supports efficient maintenance management and provides a structured approach to data handling. The results indicated that the developed system reduced the number of workflow steps from 14 to 7, shortened processing time from 335 minutes to 172 minutes, and decreased waiting time from 267 minutes to just 10 minutes. Non-value-added (NVA) steps were reduced from 11 to 1, while value-added (VA) steps increased from 3 to 6. Additionally, paper usage was completely eliminated. User satisfaction evaluation showed the highest overall rating (x̄ = 4.56, S.D. = 0.31), particularly in system efficiency, reliability and security, and system usability, demonstrating that the developed system effectively met user needs and research objectives.

The results indicated that the developed system reduced the number of workflow steps from 14 to 7, shortened processing time from 335 minutes to 172 minutes, and decreased waiting time from 267 minutes to just 10 minutes. Non-value-added (NVA) steps were reduced from 11 to 1, while value-added (VA) steps increased from 3 to 6. Additionally, paper usage was completely eliminated. User satisfaction evaluation showed the highest overall rating (x̄ = 4.56, S.D. = 0.31), particularly in system efficiency, reliability and security, and system usability, demonstrating that the developed system effectively met user needs and research objectives.

Model of Efficient construction engineering management in the digital age for affiliated petrochemical industry, PTT Public Company Limited: A Case study of IRPC Public Company Limited

Tianchai Aramyok — Tue, 30 Jun 2026 00:00:00 +0700

The objectives of the research are as follows; 1) To study the demographic characteristics of the sample group that affect the efficiency of effective construction engineering management in the digital age for the petrochemical industry business in the PTT Public Company Limited group, 2) To study the important factors according to the 7S-Model organizational management concept that affect the efficient management of construction engineering in the digital age for the petrochemical industry business in the PTT Public Company Limited group, and 3) To find a model for effective construction engineering management in the digital age for the petrochemical industry in the PTT Public Company Limited group. This research is a mixed research method between quantitative and qualitative. The quantitative data collection using questionnaires administered to a sample of 400 people and the qualitative data was collected by in-depth interviews with project managers who were middle-level executives from a sample of 10 people at IRPC Public Company Limited. Statistical analysis included frequency, percentage, mean, standard deviation, T-test, F-test, and multiple regression analysis. The research results found that the effective construction engineering management model in the digital age for the petrochemical industry of PTT Public Company Limited consisted of important factors related to the 7S-Model organizational management concept. It was found that the top 3 most appropriate components were 1) strategy factors, 2) work skills factors, and 3) shared values factors. For the organizational management perspective factors according to the Balanced Scorecard (BSC) concept, it was found that the component with the highest appropriate mean was the internal process improvement factor. For the Multiple Regression Analysis, it was found that the 3 independent variables (original variables), consisting of 1) management style, 2) shared values, and 3) personnel, were significantly related to the efficiency of construction engineering management in the digital age at the 0.05 level.

Public Satisfaction and the Development of a Priority-Setting Model for Primary Health Care Service Improvement: A Case Study of Sikai Subdistrict Health Promoting Hospital, Nong Khai Province

Akkana Bulsathaporn, Saowalak Chakkrabut, seksun saiseesod — Tue, 30 Jun 2026 00:00:00 +0700

This study aimed to (1) examine public satisfaction with primary health care services provided by Sikai Subdistrict Health Promoting Hospital, Nong Khai Province, (2) analyze the relationships between primary health care service dimensions and public satisfaction, and (3) develop a priority-setting model to support policy formulation and management decisions at the local level. A quantitative research design was employed. The sample consisted of 381 service recipients selected through stratified random sampling. Data were collected using a five-point Likert-scale questionnaire and analyzed using descriptive statistics, correlation analysis, and an integrated weighting method. The findings indicated that overall public satisfaction with primary health care services was high, and service dimensions were positively correlated with public satisfaction at a statistically significant level. The developed priority-setting model suggested that personnel development and service processes should be prioritized, followed by service accessibility and physical facilities. The results provide a policy-oriented framework for resource allocation, service planning, and systematic improvement of primary health care services in local contexts.

Analyzing Language Change: Problems and Needs in Instructional Management for Thai Language Teacher-Students

Sumana Kheannil, Pinpoon Kongwijit — Tue, 30 Jun 2026 00:00:00 +0700

This study aimed to examine the problems and needs in teaching and learning related to the analysis of language change among Thai pre-service teachers. A mixed-methods approach, combining qualitative and quantitative research, was employed. The participants included instructors teaching courses related to language change and Thai pre-service teachers. The research instruments consisted of semi-structured interviews and questionnaires. The collected data was analyzed using content analysis and descriptive statistics. The findings revealed that the current problems in teaching and learning could be classified into five aspects: 1) instructional management, 2) teacher roles, 3) student learning behaviors, 4) assessment and evaluation, and 5) teaching materials. Meanwhile, students expressed a preference for learning experiences that incorporate authentic sources, such as classical literature or historical documents, and for diverse learning activities, including projects, discussions, and case study analyses.

A Causal Relationship Model of Cold Chain Management through Technology for Enhancing Sustainable Competitiveness and Capability in Thailand

Chonticha Jansang, Natapat Areerakunlkan — Tue, 30 Jun 2026 00:00:00 +0700

This research aimed to: (1) examine the level of opinions regarding cold chain management, competitive advantage, cold chain logistics processes, and sustainable competitiveness in Thailand; (2) investigate the influence of cold chain management, competitive advantage, cold chain logistics processes, and sustainable competitiveness; and (3) explore guidelines for cold chain management processes using technology to enhance capacity and sustainable competitiveness in Thailand. A mixed-methods approach was employed: the quantitative study collected data from 420 cold chain logistics operators through questionnaires and analyzed the data using structural equation modeling, while the qualitative study involved structured interviews with nine key informants, including government representatives, entrepreneurs, and academics, and analyzed the data through content analysis. The results revealed that cold chain management directly influenced competitive advantage (coefficient = 0.62), while cold chain logistics processes positively affected operational continuity (coefficient = 0.58). Respondents placed high importance on production, storage, transportation, and technology applications ( = 4.01–4.15). Cold chain logistics processes also influenced product quality assurance (coefficient = 0.55). Moreover, differentiation and quick responsiveness were critical factors for competitiveness ( = 4.12). Overall, the developed model demonstrated statistical validity (/df = 1.87, RMSEA = 0.045), affirming the role of technology in enhancing sustainable competitiveness. Development guidelines suggest that entrepreneurs should invest in IoT, AI, and traceability systems to strengthen efficiency and reliability, alongside fostering collaborative networks between public and private sectors to ensure long-term sustainability.

Antecedent factors influencing the enhancement of frozen-food business capability among entrepreneurs in Samut Sakhon Province

Angkana Chokphongthon, Tanapol Kortana — Tue, 30 Jun 2026 00:00:00 +0700

This research aimed to examine the effects of entrepreneurship, management efficiency, and marketing potential on competitive advantage and business potential among frozen food entrepreneurs in Samut Sakhon Province. A quantitative research approach was employed with data collected from 300 business owners selected through purposive sampling. A five-point Likert-scale questionnaire was used, with both content validity and reliability tested prior to data collection. Data analysis utilized descriptive statistics and Structural Equation Modeling (SEM). The results revealed that the modified model demonstrated a good fit with empirical data (c²/df = 2.628, GFI = 0.935, CFI = 0.966, RMSEA = 0.074). All variables exhibited statistically significant positive effects, particularly management efficiency and entrepreneurship, which exerted direct influences on both competitive advantage and business potential. The proposed “Samutsakhon Frozen Food Business Potential Enhancement Model” provides an integrated framework for sustainable development and competitiveness enhancement in Thailand’s frozen food industry.

Teachership, Parental Support, Test Stress, Students’ Self-Efficacy, and Self-Regulation Affecting Self-Directed Learning Achievement among Students at Rajamangala University of Technology Phra Nakhon

Tue, 30 Jun 2026 00:00:00 +0700

This research had three objectives: (1) to examine the levels of the following variables - teacher, parental support, test anxiety, self-efficacy, self-regulation, and students' self-directed learning achievement; (2) to investigate the influence of these variables on self-directed learning achievement; and (3) to construct a model of self-directed learning achievement among students at Rajamangala University of Technology Phra Nakhon. The study employed a quantitative research methodology, collecting data from 360 first-year students using a questionnaire validated for reliability and validity (Cronbach's Alpha = 0.78–0.93), and analyzed using descriptive statistics and structural equation modeling. The findings revealed that most variables were at a high level, except for self-directed learning achievement, which was at a moderate level. Teacher, parental support, and test anxiety had significant positive direct influences on self-efficacy, which in turn directly influenced both self-regulation and self-directed learning achievement. Additionally, self-regulation had a direct influence on self-directed learning achievement and an indirect influence through self-efficacy. The model fit indices were within acceptable criteria (c²/df = 2.63, GFI = 0.91, CFI = 0.95, RMSEA = 0.06), demonstrating that the TPTSSA model effectively explains the mechanisms of factors influencing students' learning achievement. The research recommendations encourage higher education institutions to develop instructional approaches that emphasize strengthening students' self-efficacy and self-regulation, in order to enhance learners' readiness for continuous self-directed learning and personal development.

Design of Application Prototype for Second-hand Clothing Business Using Design Thinking and Consumer Journey Approaches

Lapasporn Boonyoungyein, Tisiruck Potavanich — Tue, 30 Jun 2026 00:00:00 +0700

Design of application prototype for second-hand business have objectives to study the needs of buyers and sellers regarding the functions of a second-hand clothing application through the core processes of Design Thinking and aims to develop a prototype application for second-hand clothing business. The researcher identified a knowledge gap concerning trading behaviors on online second-hand clothing platforms, indicating a need for further investigation. This study employed in-depth interviews with two sample groups: (1) eight online second-hand clothing sellers in Thailand, and (2) eight online second-hand clothing consumers in Thailand. The data gathered from these interviews were analyzed to inform the design, utilizing Design Thinking principles as the primary framework. Research findings are divided into two parts (1) key factors and elements The study revealed that critical components for prototype design include features enhancing seller credibility, clear product display interfaces, and an overall design provides a positive user experience (2) Application prototype design researcher utilized the collected data to design the User Interface and develop a prototype. This prototype was subsequently evaluated by the target audience and two experts, to improve the prototype’s usability and completeness. This research provides practical knowledge in applying Design Thinking to the second-hand clothing industry, defining system requirements and establishing a user interface prototype.

The Acceptance and Adoption of Blockchain Technology in The Electronic Government Procurement System: A Case Study of The Office of The National Broadcasting and Telecommunications Commission

Jantakarn Supich, Thoedsak Chomtohsuwan — Tue, 30 Jun 2026 00:00:00 +0700

This study aims (1) to examine the level of acceptance and usage behavior of blockchain technology (2) to analyze the effects of factors based on the Unified Theory of Acceptance and Use of Technology (UTAUT) on the acceptance and use of blockchain technology, and (3) to develop and test a causal relationship model of factors influencing the acceptance of blockchain technology, including both direct and indirect effect using Structural Equation Modeling (SEM) in the Phase 5 e-Government Procurement (e-GP) system of the National Broadcasting and Telecommunications Commission (NBTC). The population of this study consisted of committee members involved in electronic public procurement of the NBTC, including members of bid evaluation committees, procurement committees, acceptance committees, and officers responsible for procurement and inventory management, totaling 665 persons. The sample size of 250 respondents was determined based on the Rule of Thumb for Structural Equation Modeling (SEM). A questionnaire was used as the data collection instrument. The data were analyzed using descriptive statistics, Cronbach’s Alpha, Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The results showed that users had a high level of acceptance of blockchain technology in the e-GP system. Effort Expectancy had the strongest effect on blockchain acceptance (β = 0.699, R² = 0.4885), followed by Facilitating Conditions ( β = 0.693, R² = 0.4797) and Attitude toward using technology ( β = 0.685, R² = 0.4687). Performance Expectancy, Social Influence, and User Confidence had relatively lower effects. Finally, the SEM model explained 81.30 percent of the variance in blockchain acceptance.

The Factors Influencing Gen Z Use of Online Fortune-telling Services

pratanporn ounor — Tue, 30 Jun 2026 00:00:00 +0700

This research article has three objectives: 1) to investigate the differences Generation Z’s use of online platform-based fortune-telling services, 2) to study the behavior of Generation Z in utilizing online platform-based fortune-telling services, and 3) to compare the factors affecting Generation Z’s engagement with online platform-based fortune-telling services. The study employs is Quantitative Research With a survey research format. The study employs a questionnaire to gather data from 400 students, university students, and members of the general public aged 15-30 who have used the fortune-telling services of the Samphan Institute of Astrology. Data analysis includes frequency counts, percentages, and one-way ANOVA. The research findings revealed that among Generation Z individuals who use fortune-telling services, the majority are female (60%) and aged between 18–20 years (36.2%). The most significant factors influencing their use of these services include tarot card readings (70.5%), online website-based platforms (45.0%), and consultations focused on love and relationships (31.5%). Regarding behavioral patterns, Generation Z uses online fortune-telling platforms primarily to gain insights into the future and prepare for potential problems (25.5%). Notably, 59.8% have never recommended the service to others, while (44.3%) of respondents trust predictions to some extent (50–70% confidence) and use them to address life challenges. The analysis highlights that varying factors influence Generation Z’s engagement with online fortune-telling platforms, leading to diverse service utilization behaviors The reasons for using fortune-telling services were statistically significant (f = 4.041, p = .04)

Factors Associated with Physical Activity Behaviors of International Graduate Students in the Bangkok Metropolitan Region

Pornteap Leethong-In, Wisute Tongdecharoen, Yurasin Wattanapayungkul, Li Huiling — Tue, 30 Jun 2026 00:00:00 +0700

The purposes of this cross-sectional descriptive research were: (1) to examine the levels of physical activity behaviors; (2) to investigate the relationships between predisposing, enabling, and reinforcing factors and physical activity behaviors; and (3) to analyze the predictors of physical activity behaviors. The sample consisted of 402 Chinese graduate students in the Bangkok Metropolitan Region, selected via multi-stage sampling. The research instrument was a questionnaire based on the PRECEDE Model and the Global Physical Activity Questionnaire (GPAQ) with a reliability of 0.92. Data were analyzed using descriptive statistics, Pearson’s correlation, and stepwise multiple regression analysis. The results revealed that: (1) The majority of the students (40.05%) had a low level of physical activity and spent an average of 9.83 hours/day on sedentary behavior. (2) Predisposing, enabling, and reinforcing factors were significantly positively correlated with physical activity behaviors at the.05 level. (3) Seven factors self-efficacy (Beta = 0.296), motivation (β=0.227), peer support (β=0.203), class schedule, accessibility (β=0.186), past experience (β=0.111), and time management (β=0.102) collectively predicted 47.40% of the variance in physical activity behaviors.

Requirements and User Experiences of Electric Vehicle (EV) Users in Nakhon Ratchasima: A Perspective through the 4Cs Marketing Mix Strategy

Naruchon Thanajitchai, Samran Booncharoen, Sirinthorn Eapsirimetee — Tue, 30 Jun 2026 00:00:00 +0700

The objectives of this research were: (1) to study the levels of technology acceptance and the 4Cs marketing mix affecting the needs and decision-making process of electric vehicle (EV) consumers in Nakhon Ratchasima Province; and (2) to examine the relationship between the 4Cs marketing mix and the actual usage experience of EV users in Nakhon Ratchasima Province. The sample group consisted of 400 EV users in Nakhon Ratchasima Province, selected through convenience sampling. Data were collected via questionnaires. Statistical tools used for analysis included mean, standard deviation, and enter multiple regression analysis. The research findings revealed that:(1) Overall, technology acceptance and social influence were at a high level. When ranked by mean from highest to lowest, the dimensions were Perceived Ease of Use, Perceived Usefulness, and Social Influence, respectively. Regarding the 4Cs marketing mix, the overall level was also high, with dimensions ranked from highest to lowest as follows: Communication, Customer Wants and Needs, Cost, and Convenience. (2) Technology acceptance and social influence (specifically Perceived Usefulness, Social Influence, and Perceived Ease of Use) and the 4Cs marketing mix (specifically Customer Wants and Needs, Convenience, and Cost) were positively related to the actual usage experience of EV users at a statistical significance level of 0.05. The predictive equation, with a multiple correlation coefficient (R) of 0.569 and an R² value of 0.324

A Leadership Model for Housing Estate Business Management in Bangkok and Its Vicinity

Preechachai Pipattanadul, Tanapol kortana — Tue, 30 Jun 2026 00:00:00 +0700

This research has three objectives: (1) to develop a leadership model for the management of housing estate businesses in Bangkok and its metropolitan area, (2) to validate the structural validity of the model using Second-order Confirmatory Factor Analysis (CFA), and (3) to identify the leadership components of highest importance for housing estate business operations. A quantitative survey research design was employed. The sample consisted of 380 entrepreneurs and executives involved in housing estate businesses. Data were collected using a five-point Likert scale questionnaire. The data were analyzed using descriptive statistics and Confirmatory Factor Analysis (CFA) within the framework of Structural Equation Modeling (SEM). The results indicate that leadership in housing estate business management represents a hierarchical structure consisting of six key components: strategic management, expertise in housing estate business, networking capability, risk management, emotional intelligence, and leadership ethics. The proposed model demonstrated a good fit with the empirical data (χ²/df = 1.88, RMSEA = .048, CFI = .99). All six components showed statistically significant positive influences, with networking capability and risk management identified as the most influential factors. The findings suggest that effective leadership in the housing estate business requires the integration of strategic competencies, interpersonal capabilities, and ethical leadership in order to enhance sustainable management standards.

Development and Content Validity Assessment of a Conceptual Framework of Factors Influencing Soybean Meal Prices in Thailand

Natcha Khampangpetch, Manisara Barameechai — Tue, 30 Jun 2026 00:00:00 +0700

This study aims to develop and assess the content validity of a conceptual framework for examining the factors influencing soybean meal prices in Thailand. The proposed framework integrates key dimensions related to global economic conditions, policy and geopolitical factors, substitute products, and domestic logistics and supply chain factors. The study was conducted as a quantitative research project during the instrument development phase. A questionnaire consisting of 40 items was developed and evaluated for content validity using the Index of Item–Objective Congruence (IOC) by three subject-matter experts. In addition, the preliminary suitability of the conceptual framework and measurement indicators was assessed by 15 experts from the fields of agricultural economics, animal feed industry, and supply chain management. The results indicated that all questionnaire items met the acceptable content validity criteria, with IOC values ranging from 0.67 to 1.00 and an average IOC score of 0.88, demonstrating a high level of consistency between the measurement items and the research objectives. The expert evaluation further confirmed that the proposed framework and indicators adequately captured the key factors associated with soybean meal prices in Thailand. However, several constructs contained a limited number of indicators and should be further refined and expanded in future studies. The findings suggest that the proposed conceptual framework and research instrument provide a suitable foundation for future empirical investigations of soybean meal price determinants in Thailand. The framework may also contribute to risk management, raw material procurement planning, and supply chain decision-making within Thailand’s animal feed industry.

The Influence of Service Marketing Mix and Electronic Word-of-Mouth on the Purchase Decision of Housing Estates in Si Racha District, Chonburi

Chitlada Pinthong, Juladit Sitanarom, Piyaporn Thamachart — Tue, 30 Jun 2026 00:00:00 +0700

This study aims to examine the influence of service marketing mix (7Ps) and electronic word-of-mouth (eWOM) on housing purchase decisions in Chonburi Province. Data were collected using an online questionnaire from 400 consumers aged between 20 to 55 years who had purchased a housing estate in Si Racha District, Chonburi Province, within the last 1-3 years. Purposive sampling, a non-probability sampling technique, was employed to select the respondents. The data were analyzed using descriptive statistics, multiple regression analysis, and simple linear regression analysis. The findings presented that the marketing mix factors, which include process, physical evidence, price, and promotion, had statistically significant positive effects on housing purchase decisions. In contrast, product, people and place did not have significant effects on purchase decisions. Furthermore, eWOM exerted a significant positive effect on housing purchase decisions in Chonburi Province. These findings contribute to the existing body of knowledge on real estate purchase decision-making and provide valuable insights for future research. They also offer practical implications for real estate developers, property entrepreneurs, and related businesses by providing evidence-based guidance for developing marketing strategies that align with consumer behavior and preferences in the digital era.

Causal Antecedents Influencing Thai Tourists’ Loyalty to Ranong Province

Zerynlapas Koompetchworrak, Chompoo Saisama, Tanapol Kortana — Tue, 30 Jun 2026 00:00:00 +0700

This research aimed to: (1) study the levels of tourism image, tourism marketing mix, service quality, management innovation, and loyalty of Thai tourists visiting Ranong Province; (2) examine the influences of these variables on tourist loyalty; and (3) develop a model of Thai tourist loyalty in Ranong Province. This quantitative research collected data through questionnaires from 520 Thai tourists who had visited Ranong Province. Data were analyzed using descriptive statistics (mean and standard deviation) and inferential statistics through Structural Equation Modeling (SEM). The results revealed that all variables were rated at a high level, with entrepreneurial characteristics receiving the highest mean score. The SEM analysis indicated that the modified model was consistent with empirical data (c²/df = 1.507, RMSEA = 0.031, CFI = 0.987). Management innovation had the strongest direct effect on tourist loyalty (β = 0.462), followed by entrepreneurial characteristics (β = 0.287) and service quality (β = 0.190), respectively. All independent variables collectively explained 42% of the variance in tourist loyalty. The research findings can be applied as guidelines for developing tourism strategies in Ranong Province to enhance sustainable tourist loyalty.

Defining the Premium Thai Brand: A Qualitative Exploration of Cultural Identity Design and Global Strategy through Expert Perspectives

Phuttachart Rattanawong, Sukhumpong Channuwong — Tue, 30 Jun 2026 00:00:00 +0700

This study investigates the defining characteristics of a premium Thai brand through a qualitative approach grounded in expert perspectives. The study uses qualitative content analysis to find insights and common patterns from semi-structured, in-depth interviews with 15 experts in branding, design, and entrepreneurship, including academics, creative professionals, and brand founders. The results reveal five key dimensions constituting the essence of premium Thai branding: authenticity, integration of cultural identity, artisanal craftsmanship, emotional and symbolic depth, and globally oriented design. These findings advance the theoretical understanding of Cultural Branding and Soft Power by demonstrating how Thai cultural identity can be strategically embedded within branding frameworks to enhance both domestic and international competitiveness. Scholars and practitioners-including brand strategists, designers, and policymakers-can apply these insights to strengthen Thai brands in the global marketplace.

The impact of Job Satisfaction on Intrapreneurial Behavior: A Study of Personnel in Thai Private Higher Education Institutions

Saengdow Prasittisuk — Tue, 30 Jun 2026 00:00:00 +0700

This study investigates the relationships between job satisfaction, employee intrapreneurial behaviors, and intrapreneurship at Thai private HEIs. Quantitative cross-sectional study was carried out with 375 lecturers and staff of 2 private universities in Bangkok, Thailand. Structural equation modeling (SEM) was used to test both the direct and indirect relationships between the constructs. Although correlation analysis was largely consistent with expected positive relationships, the structural model indicated a more intricate and counter-intuitive pattern. Job satisfaction reported significant negative relationships with both IT innovativeness and personal initiative while many intrapreneurial behaviors are not statistically significant or significantly negatively related with intrapreneurship. Mediation effects were not supported, with few indirect paths suggesting inconsistent mediation. It is suggested that intrapreneurship from Thai private HEIs works on two lines with each stage being context-bound and competing, not a linear one.

Development and Validation of Integrated Data Center Management Indicators for Digital Logistics Infrastructure in Thailand: A Delphi Study

Usanee Panyaworachat, Manisra Baramichai, Pongtana Vanichkobchinda — Tue, 30 Jun 2026 00:00:00 +0700

Data centers are critical digital infrastructure supporting digital logistics systems, cloud services, information systems, and Thailand’s digital economy. Achieving high availability, reliability, and energy efficiency requires the integration of infrastructure and technology, operational and maintenance processes, human capital and workforce competency, and sustainability-oriented practices. However, studies on the development and validation of integrated data center management indicators for digital logistics infrastructure in Thailand remain limited. This study aimed to develop and validate integrated data center management indicators for digital logistics infrastructure in Thailand using the Delphi method to establish expert consensus. Initial indicators were derived from a review of relevant literature and standards and subsequently assessed for content validity using the Index of Item–Objective Congruence (IOC) by three experts before entering the Delphi process. A panel of 13 experts in data center operations, digital infrastructure, and critical system management was purposively selected based on their expertise. Data were analyzed using the median, interquartile range (IQR), and Kendall’s Coefficient of Concordance (Kendall’s W) to evaluate the level of consensus. The results indicated a moderate level of expert agreement (Kendall’s W = 0.452, p < 0.001). The study developed an integrated data center management framework comprising four dimensions, sixteen factors, and sixty-four indicators: Digital Logistics Infrastructure Management, Service Reliability and Quality, Human Capital and Workforce Competency, and Data Center Performance and Sustainability. The findings help address the knowledge gap in data center management indicator development within the Thai context and provide a practical framework for enhancing the efficiency, reliability, and sustainability of data center management.