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Context sensitive transit oriented development assessment: AHP weighted TOD standards for regional railway hubs in Thailand
, Available Online, March, 2025 Chaiwat Sangsrichan, Patcharida Sungtrisearn, Nopadon Kronprasert, Auttawit Upayokin and Preda Pichayapan ![]() |
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Abstract: This study develops a context-specific Transit-Oriented Development (TOD) evaluation framework for Thailand's regional railway hubs by integrating the Analytic Hierarchy Process (AHP) with established TOD Standards. Through expert-based pairwise comparisons, we determined that transit accessibility (19.1%), connectivity (15.0%), and walkability (14.1%) represent priority criteria for the Thai context, contrasting with the uniform weighting system of international standards. We applied this AHP-weighted framework to assess six regional railway stations: Chiang Mai, Phitsanulok, Nakhon Ratchasima, Khon Kaen, Pattaya, and Hat Yai Junction. Comparative analysis revealed that Hat Yai Junction achieved the highest TOD potential ranking under both standard (74/100) and AHP-weighted (79.7/100) methods, followed by Chiang Mai (72/100 standard; 78.8/100 weighted). The most notable scoring differential appeared in Nakhon Ratchasima (69/100 vs. 78.4/100), demonstrating the significant impact of context-sensitive weighting. All stations showed common weaknesses in cycling infrastructure (average 3.2/5) and car use reduction metrics while achieving the highest scores in transit accessibility criteria. Station-specific evaluation identified targeted improvement priorities: enhancing cycling networks in Chiang Mai, improving pedestrian infrastructure in Phitsanulok, and increasing block connectivity in Pattaya. This contextualized framework gives planners a practical tool for prioritizing TOD investments in Thailand's regional centers. DOI: 10.5267/j.dsl.2025.3.012 Keywords: Transit-Oriented Development, TOD Standard, Analytic Hierarchy Process, Regional Transit Hubs, Railway Stations
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Open Access Original Article | |||
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Post-pandemic social transformation and labor trends in sellers of repowered items in the city of Huancayo, Peru
, Available Online, March, 2025 Miguel Fernando Inga-Ávila, Roberto Lider Churampi-Cangalaya, Francisca Huamán Pérez, Rubén García Huamaní, Gary Francis Rojas Hurtado, Fredy Orlando Soto Cardenas, Linda Loren Navarro-Garcia ![]() |
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Abstract: The COVID-19 pandemic generated significant social transformations in different sectors of society, one of the most important being the labor market. This research establishes the relationship between these transformations and employment trends among repowered item vendors in the city of Huancayo, Peru. Three key dimensions were addressed: destruction, expansion, and modification of employment. The research adopted a quantitative approach, with an exploratory, descriptive, and correlational design. Validated questionnaires were administered to a representative sample of 331 repowered item vendors. The results indicate a significant relationship between social transformation and employment trends, which is reflected in a reconfiguration of employment in this sector. A loss of job opportunities was evident; however, an expansion of employment was also observed through adaptation to new forms of marketing and the growing demand for repowered products. Likewise, changes in labor dynamics were identified, including the use of new sales strategies and the digitization of processes. In conclusion, the pandemic not only negatively affected employment in this sector, but also encouraged resilience and adaptation strategies. DOI: 10.5267/j.dsl.2025.3.011 Keywords: Social transformation, Post-pandemic, Labor trends, Revamped articles, Job destruction, Job expansion, Job modification
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Sustainability of community-based mangrove ecotourism in Bali, Indonesia
, Available Online, March, 2025 Made Kembar Sri Budhi, I Nyoman Mahaendra Yasa, Ida Ayu Nyoman Saskara, Ni Putu Nina Eka Les-tari, Ni Nyoman Reni Suasih, Ni Komang Ayu Rustini, Ni Luh Tesi Riani ![]() |
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Abstract: Bali is a world tourist destination that is famous for having various types of interesting maritime tourism, including mangrove areas which are typical of equatorial regions. The purpose of this study is to develop a model that can predict the sustainability of ecotourism in the mangrove area in Bali based on the approach of empowering local potential and empowering the community. Data analysis was carried out using Bayesian Network analysis, where input was based on the results of the FGD. The results show high probability of realizing the sustainability of ecotourism, where the most influential variables are community participation and local product developers or mangrove-based products. In addition, the condition of the mangrove forest also needs attention, considering that the sustainability of mangrove ecotourism is very sensitive to changes in the condition of the mangrove forest. The three main variables have reflected the combination of the three elements of sustainability, namely people-social (community participation), planet-environment (mangrove forest condition), and profit-economic (developing of mangrove-based products). Mangrove ecotourism development in Bali should be focused on increasing community participation and the development of mangrove-based products. DOI: 10.5267/j.dsl.2025.3.010 Keywords: Ecotourism, Mangrove forest, Community participation, Mangrove-based product, Sustainability
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Open Access Original Article | |||
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Evaluating women’s happiness levels with ARASsort: The case of Türkiye
, Available Online, March, 2025 Semiha Bal, Gül Tekin Temur and Sait Gül ![]() |
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Abstract: The happiness levels of women exhibit variations attributable to a myriad of factors, encompassing economic, social, cultural, and demographic variables. Numerous governments incorporate the measurement of happiness levels as part of life-satisfaction analyses; nonetheless, these analyses lack a comprehensive framework for predicting happiness levels over specific periods. Notably, in developing countries, women confront the adverse consequences of economic, social, cultural, and demographic determinants to a greater extent than men. Paradoxically, they remain significantly underrepresented in both academic and industrial domains. In light of this, the primary objective of this study is to conduct an in-depth analysis of happiness levels and their underlying determinants from a gender-oriented perspective. Therefore, the pertinent literature has not dedicated a systematic approach to classify and forecast the happiness of women. The present paper initiates by elucidating the factors influencing women's perceptions of happiness through a comprehensive review of the existing literature. Then, a multiple attribute decision-making algorithm-based sorting methodology, ARASsort, is utilized to evaluate how women’s happiness levels are affected by life satisfaction components in a developing country, Türkiye. The selection of ARASsort is based on its performance over other traditional sorting approaches in terms of time and effort attachment. Various factors affecting the happiness levels of women in different cities in the country sample were discussed and analyzed in detail in accordance with the main findings of the OECD Better Life Index (2020), through representative data selected from TÜİK's life satisfaction dataset. DOI: 10.5267/j.dsl.2025.3.009 Keywords: ARASsort, Happiness, Life satisfaction, Multiple attribute sorting, Women’s happiness
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Transforming hajj financial management in Indonesia: An integrated SSM-AHP approach
, Available Online, March, 2025 Achmad Iskandar Zulkarnain, Noer Azam Achsani, Mulya Sirega and Irfan Syauqi Beikn ![]() |
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Abstract: This study examines the current challenges and strategic alternatives for developing strategies to improve Hajj fund management in Indonesia using Soft Systems Methodology (SSM) and Analytic Hierarchy Process (AHP). The research focuses on challenges faced by the Hajj Financial Management Agency (BPKH) in managing pilgrimage funds within a complex ecosystem of stakeholders and regulators. Through focus group discussions and quantitative analysis, the study identifies gaps in governance and institutional coordination following the transfer of fund management from the Ministry of Religious Affairs to BPKH. The research evaluates key strategies including investment policy development, internal control enhancement, leadership competency improvement, and technology adoption. Findings emphasize the need for a coordinating body to oversee investment policies and partnerships, while prioritizing public accountability and digital transformation to streamline processes. The study contributes to Islamic finance literature by providing insights into BPKH's specific challenges and optimization strategies. Recommendations include aligning investments with Islamic principles, strengthening controls against fund misuse, and prioritizing leadership competency in financial expertise and ethical integrity. These findings offer practical guidance for policymakers and Hajj fund management institutions in enhancing fund stewardship within Islamic finance principles. DOI: 10.5267/j.dsl.2025.3.008 Keywords: Hajj financial management, Soft systems methodology, Analytical hierarchy process, Strategic prioritization, Pilgrim welfare
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A route selection process using a multicriteria decision-making (MCDM) approach based on the simple additive weighting (SAW) method: Evidence from Thai fresh fruit exported to China by road transportation
, Available Online, March, 2025 Thanasit Nitayaprapha, Jessada Pochan, Boonsub Panichakarn and Supakyada Kulthunyahirun ![]() |
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Abstract: This study identifies the optimal route for transporting agricultural fruits using the Simple Additive Weighting (SAW) method within a Multicriteria Decision-Making (MCDM) framework. Data was gathered through a literature review on transportation principles, route selection criteria, and truck routes, identifying eight critical factors for route selection. Transportation route data were also systematically collected, forming the basis of the proposed conceptual framework. The SAW analysis identified the highest-scoring routes for each segment: Route A1 (6.35406), Route B1 (6.38532), Route C1 (6.26248), and Route D3 (5.29061). Historical data from the past five years confirmed consistency in route selection. Comparatively, Dijkstra's Algorithm, based on single factors like distance, time, or cost, proved less effective for agricultural transportation. In contrast, the SAW method, integrating multiple factors, ensured more accurate route selection. Key influencing factors included road conditions, infrastructure or road width, and facility availability. The optimal route from Thailand to China was Route A1-B1, passing through Chanthaburi, Rayong, Chonburi, Chachoengsao, Samut Prakan, Bangkok, Pathum Thani, Ayutthaya, Ang Thong, Sing Buri, Chai Nat, Nakhon Sawan, Phichit, Phitsanulok, Uttaradit, Phrae, Lampang, Phayao, and Chiang Rai, terminating at Chiang Khong Customs Checkpoint. These findings offer practical guidance for planning and decision-making in agricultural transportation routes. DOI: 10.5267/j.dsl.2025.3.007 Keywords: Route Selection, Multi Criteria Decision Making (MCDM), Simple Additive Weighting (SAW), Optimal Route Selection
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Open Access Original Article | |||
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The impact of busy boards on earnings management: A case study of estate companies listed on the Vietnamese stock exchange
, Available Online, March, 2025 Nhan-Anh Thi Cao and Ngoc Tien Nguyen ![]() |
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Abstract: While busy boards have been widely studied in corporate governance, research on this topic in Vietnam is lacking. In the real estate sector, where high leverage and regulatory challenges per-sist, busy boards may impact earnings management (EM). This study explores their influence on EM in listed Vietnamese real estate firms, contributing to corporate governance insights. This research aims to investigate the presence of busy boards and Board of Directors (BOD) character-istics on EM behavior. This research employs the OLS, FEM, REM and Generalized Least Squares (GLS) regression model to analysis. Analysis results show that the number of busy boards has a positive impact on EM behavior. The results of this study extend the composite measure of BOD in Vietnam by adding a new factor, which has not been included in previous studies, namely busy boards. Thereby, it helps to improve corporate governance in controlling the "performance results" of the board of directors. Busy boards influence positively EM and oth-er factors: board size, board independence, board expertise, female on board negatively affect EM. The findings of this study demonstrate a relationship between busy boards and EM, subsequently affecting the quality of financial statements. Therefore, the policy makers are recommended to consider comprehensive reviews and possibly "legislate" the advantages of diversity within corpo-rate boards during the drafting, amending, and supplementing of corporate governance regula-tions and rules in Vietnam. DOI: 10.5267/j.dsl.2025.3.006 Keywords: Busy board, Board of Directors, Earnings management, Director interlocking, Corporate governance
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Open Access Original Article | |||
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Determinants of student satisfaction based on website information quality
, Available Online, March, 2025 Roberto Lider Churampi-Cangalaya, Miguel Fernando Inga-Avila, Enrique Mendoza Caballero, Victor Oscar Moyano Mustto, Made-lyn Apardo Quispe, Janneth Del Pilar Nuñez Velasquez and Efrain Nuñez Villazana ![]() |
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Abstract: Websites have become the digital showcase for companies, organizations, and people in a globalized world. These platforms are essential for communication, e-commerce, education, and entertainment. The objective of this study is to analyze the relationship between the quality of information on websites and user satisfaction in public higher education in Tarma. This is basic research with a quantitative and correlational approach, carried out with a sample of 428 students of the professional careers of Administration, Nursing, and Agroindustrial Engineering enrolled in 2024 at the Universidad Nacional Autónoma Altoandina de Tarma, located in the Department of Junín. The data were processed and modeled using structural equations based on PLS. The results show a Spearman's Rho correlation coefficient of 0.852 and a significance level of 0.000, which shows a high positive correlation between the variables studied. Likewise, the general hypothesis is confirmed, which establishes a significant relationship between usability, information quality, service interaction quality and user satisfaction of the university website. DOI: 10.5267/j.dsl.2025.3.005 Keywords: Information quality, Satisfaction, Website, Usability
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Factors affecting consumer intentions and decisions to purchase OCOP products: Exploring the role of pride in local specialties
, Available Online, March, 2025 Thi Lan Le, Quang Hieu Le and Duy Hung Pham ![]() |
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Abstract: The purpose of the study is to identify factors affecting consumers' intention and decision to purchase OCOP products as well as to test the impact of intention to purchase OCOP products on Vietnamese consumers' decision to purchase OCOP products through a case study in Thanh Hoa province. This study uses a combination of qualitative and quantitative research methods. Qualitative research aims to test the reasonableness of each scale and screen observed variables. Quantitative research methods are used through the collection and processing of data from 250 consumers who have purchased OCOP products. Data are collected, processed and analyzed using PLS-SEM software. Based on the use of TAM consumer behavior theory and the development of 4P marketing elements to build a research model. The study added the fifth P, Pride in Local Specialties, as a new factor to match the characteristics of OCOP products. The results of the study showed that the factors: (1) Pride in Local Specialties; (2) Product Awareness; (3) Price Perception; (4) Convenience in Shopping and (5) Product Communication all have a positive impact on consumers' intention to buy OCOP products. The results of the study also showed that the intention to choose OCOP products (INT) has a great impact on consumers' decision to choose OCOP products (DEC). DOI: 10.5267/j.dsl.2025.3.004 Keywords: OCOP products, Purchase decision, Purchase intention, Consumers
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Factors affecting internal control activities in regular expenditures at the social insurance office of soc Trang province
, Available Online, March, 2025 Phong Nguyen Thien and Hien Dinh Cong ![]() |
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Abstract: This study aims to rigorously examine and assess how various determinants influence internal control mechanisms associated with routine expenditures at the Social Insurance Office of Soc Trang Province. Using a quantitative method with 182 survey samples collected from civil servants and officials of the Social Insurance Office of Soc Trang Province, the data were validated through Cronbach’s Alpha, Exploratory Factor Analysis (EFA), and multiple regression analysis. The findings demonstrate that five factors impact internal control, ranked by their significance: Control Activities, Monitoring Activities, Control Environment, Information and Communication, and Risk Assessment. Additionally, the author provides recommendations to improve the effectiveness of managing and utilizing regular expenditures at the unit. DOI: 10.5267/j.dsl.2025.3.003 Keywords: Effectiveness, Internal Control, Social Insurance Office of Soc Trang Province
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The role of digital transformation and innovation in enhancing resilience and competitiveness of chinese logistics SMEs
, Available Online, March, 2025 Fuyuan Yang and Boonsub Panichakarn ![]() |
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Abstract: This study explores the high-quality development of Chinese logistics small and medium enterprises (SMEs) by examining the impact of digital technology adoption, organizational resilience, exploratory innovation, and environmental uncertainty. The research investigates how digital transformation enhances operational efficiency, adaptability, and competitiveness while assessing the mediating role of exploratory innovation in linking technology adoption and resilience to enterprise success. Additionally, the study evaluates the moderating effect of environmental uncertainty on these relationships. A survey was conducted among 340 logistics professionals and SMEs operating within China's supply chain sector, focusing on their digital transformation efforts, resilience strategies, and innovation-driven business models. The hypotheses were tested using descriptive analysis in SPSS and structural equation modeling (SEM) in SmartPLS-4. The findings indicate that digital technology adoption and organizational resilience significantly enhance high-quality enterprise development, with exploratory innovation playing a crucial mediating role. Moreover, environmental uncertainty moderates the relationship between digital adoption and innovation, highlighting the need for adaptability in dynamic markets. This study contributes to the existing literature by integrating digital adoption, resilience, and innovation within a unified framework, particularly in the context of Chinese logistics SMEs. The results emphasize the importance of reducing digital adoption barriers, strengthening organizational resilience, and leveraging innovation to enhance long-term sustainability. Policymakers and industry stakeholders are encouraged to implement supportive trade policies, financial incentives, and technological investments to optimize the performance of Chinese logistics SMEs in an increasingly competitive environment. DOI: 10.5267/j.dsl.2025.3.002 Keywords: Digital Technology Adoption, Organizational Resilience, Exploratory Innovation, Environmental Uncertainty, High-Quality Enterprise Development, Chinese Logistics SMEs
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Do asymmetric green technology innovation and institutional quality shocks matter for CO2 emissions in OECD countries? New evidence from an ARDL–PMG approach
, Available Online, March, 2025 Abdullah Abdulmohsen Alfalih ![]() |
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Abstract: Harmful climatic effects caused by increasing levels of carbon emissions are nowadays considered a serious problem for countries all over the world. Some nations are not yet making best use of their resources to promote long-term growth, while others are making great efforts to maintain a clean environment. Governments and policymakers worldwide however are considering climate challenges and global warming as critical risks. This research enriches previous literature on reducing CO2 emissions by exploring effects on carbon dioxide emissions from asymmetric green technology innovation and institutional quality within OECD nations. The short- and long-term impact of upward and downward fluctuations of GTI and IQ on CO2 emissions are assessed across a panel of 35 OECD nations for the period 1995-2020. The findings show: (i) that the EKC hypothesis is supported for long term effect but not short term in the countries studied; (ii) the existence of asymmetric long-term effects for GTI and dimensions of IQ; and (iii) that controlling corruption seems to have the most important effect on environmental degradation compared to other IQ measures. The study contributes to current understandings by revealing the nuanced and complex relations linking technological and institutional factors and environmental outcomes in developed economies. Based on the results, OECD countries must stimulate and support green technological innovation by defining appropriate governance reforms to foster sustainable development and meet sustainable development goals. DOI: 10.5267/j.dsl.2025.3.001 Keywords: Green technology innovation, Institutional quality, Environmental degradation, CO2 emission, Long-term effect
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