- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS, ESCI
ISSN : 1738-3110
23권 7호
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Abstract
Purpose: This study is undertaken in order to re-examine the impact of social indicators on the citizens’ social welfare of four regions, including Can Tho, An Giang, Tien Giang, and Dong Thap, as well as clarify the role of road network transportation in relation to the influence on social welfare. Research design, data, and methodology: The research applied the panel data with 400 residents living in four provinces involving Can Tho, An Giang, Tien Giang, and Dong Thap over the period 2020 – 2022, among which the study employs the REM, FEM, and POLS approaches. Results: Firstly, road network connectivity positively affects the total income, total expenditure, and nonfarm income, while there is no statistical link between road network and working hours. Secondly, cultivated annual areas have a positive relationship with the total expenditure of households and a negative relationship with total income. Thirdly, there is no statistical evidence to conclude that Perennial areas, Forest areas, Water surface areas, Education, and Labor members influence total income, total expenditure, nonfarm income, and working hours. Conclusions: The policy implications should concentrate on improving the road network connectivity among provinces to widen the opportunity to approach more potential commercial markets as well as limit the cost of transportation for households.
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Purpose: This study proposes and tests a structural model regarding the continuance intention to use e-payment systems in Vietnam. The paper builds on theoretical frameworks such as the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), the Information Systems Success model (ISS), and related works. This work examines how factors such as service quality, perceived trust, and customer satisfaction are related to the continuance intention to use e-payment systems. Research Design, Methodology, and Approach: The study employed a quantitative design, collecting 392 valid responses, who have used e-payment in Vietnam, through an online survey (Google Form). Reliability and validity were assessed using Cronbach’s Alpha, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) to analyze the relationships between the latent variables of the research model. Results: The findings indicated that service quality, perceived trust, and customer satisfaction have a significant structural relationship with continuance intention, each exhibiting relatively high impact coefficients. Furthermore, the model effectively explains continuance intention within the context of e-payments in Vietnam. Conclusions: The study successfully achieved its initial objectives by examining the structural relationships between the relevant pre-existing components and continuance intention. It contributed to significant theories (TAM, UTAUT, ISS), while also providing practical implications for developing strategies aimed at enhancing continuance intention.
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Purpose: This study analyzes the impact of digital transformation on distribution channel innovation and the competitive advantage of logistics enterprises in Ho Chi Minh City, Vietnam. Research design, data and methodology: The study utilized a mixed methods approach, incorporating both qualitative and quantitative methods to ensure the reliability of the findings. Data was gathered from a sample of 380 managers from logistics enterprises in Ho Chi Minh City. Data analysis was performed using a 5-point Likert scale and SEM was used to examine the relationships between the research variables. Results, digital transformation directly impacts distribution channel innovation and competitive advantage of logistics service providers in Ho Chi Minh City. At the same time, distribution channel innovation is an intermediary that impacts digital transformation on competitive advantage. In addition, the study also found that digital transformation leadership, IT infrastructure, organizational agility, competitive pressure, and government support policies have a positive impact on digital transformation. Conclusions: This study emphasizes the significance of digital transformation in driving distribution channel innovation and gaining a competitive advantage for logistics enterprises. The research findings serve as a foundation for logistics businesses to implement digital transformation, innovate their distribution channels, and ultimately achieve competitive edge.
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Purpose: This study examines the factors influencing the purchase intention of local fashion brands in social commerce as online distribution channels. Recognizing the transformative impact of social media platforms on consumer-brand interactions, this research aims to identify key drivers of online purchasing behavior. Research design, data, and methodology: A quantitative approach was employed, utilizing a survey of 470 respondents from Vietnam with prior experience in online fashion purchases. Structural Equation Modeling (SEM) was performed using SPSS 20 and AMOS 24.0 to analyze the collected data and test the hypothesized relationships within a developing market context. Results: The findings reveal that purchase intention is significantly influenced by various factors, including information richness, interactivity, and electronic word of mouth (eWOM) characteristics such as quality, credibility, quantity, usefulness, and adoption. Additionally, online brand familiarity and experience positively impacted purchase intention. Conclusions: This research provides valuable managerial insights for local fashion brands seeking to optimize their social media marketing strategies in competitive digital markets, emphasizing the importance of consumer engagement and effective information sharing in strengthening online distribution channels.
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Purpose: Information sharing has played an important role in affecting supply chain performance. However, few studies have focused on the mechanism of this effect, especially in the tourism and hospitality industry. This study aims to investigate the effect of information sharing on supply chain performance within the tourism and hospitality industry, emphasizing the mediating roles of supply chain agility and innovation and the moderating role of information quality. Using the resource-based theory, this study investigates how supply chain agility and innovation are the primary mechanisms by which information sharing influences supply chain performance in the tourism and hospitality industry. The research also investigates how shared information quality enhances these relationships. Research design, data and methodology: Data were collected from 269 managers/supervisors in the tourism and hospitality sector and analyzed using SmartPLS 4.0. Results: The results show that information sharing significantly affects supply chain performance. This effect was mediated by supply chain agility and innovation. Information quality also moderated the associations between information sharing, supply chain innovation, and agility. Conclusions: These findings provide valuable theoretical insights by extending supply chain management to the tourism and hospitality industry. These findings provide practical solutions for managers to improve the supply chain performance through effective information sharing
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Purpose: This study aims to develop sustainable last-mile delivery in B2C e-commerce. Research design, data, and methodology: A combined method of bibliometric analysis, deep interview, quantitative survey, and ANP, in which bibliometric analysis was carried out for the identification of trends and drivers of sustainable last-mile delivery, deep interviews with 10 stakeholders were conducted to revise sustainable last-mile delivery drivers, the quantitative survey with the reliability and validity test was employed to ensure of the compatibility between the sustainable development drivers and last-mile delivery services, and ANP was executed to derive priorities of these drivers. Results: The drivers of sustainable last-mile delivery development are made up of three key clusters namely economic, social and environmental drivers and 12 sub-drivers, which include reducing failed orders, increasing delivery efficiency, reducing delivery costs and increasing delivery speed for economic driver cluster; increasing delivery space, improving public spaces, reducing traffic jams, and increasing safety and security for social cluster; reducing emissions, reducing noise pollution, reducing visual pollution, and having green policy for environmental cluster. Conclusions: The theoretical contribution of this study is the introduction of drivers of last-mile delivery sustainable development and their priorities. In regard to the practical contribution, the study results are roadmaps for stakeholders in pursuing last-mile delivery sustainable development.
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Purpose: This study analyses the impact of various export types on Gross National Income (GNI) among 15 OECD and OPEC countries, aiming to identify the most influential export categories on national income. Understanding the relationship between exports and GNI is crucial for policymakers to develop effective strategies for sustainable economic growth. Research design, data and methodology: The research uses secondary data from the World Bank (2013-2022) and employs a panel data analysis approach with a quantitative descriptive design. The variables analyzed include goods exports, high-tech exports, service exports, ICT services exports, and GNI. This approach enables the study to capture the complex relationships between exports and national income. Results: The findings reveal that goods and services exports have a statistically significant negative effect on GNI, the findings reveal that goods and services exports have a statistically significant negative effect on GNI. In contrast, high-tech and ICT exports show a statistically significant relationship with GNI but with limited contribution due to their small representation within total exports. Conclusion: The study urges policymakers to reassess export strategies, balancing traditional sectors with high-tech and ICT development. Understanding export-income dynamics enables targeted approaches that optimize national income, support sustainable growth, and foster effective economic development strategies.
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Purpose: This study investigates how the quality of Online Food Delivery (OFD) applications influences student preferences, satisfaction, and reuse intentions, focusing on students at the Faculty of Humanities, Universitas Indonesia. It explores how specific factors—such as content quality, accessibility, contextual offers, and transaction accuracy—shape user experience and behavioral outcomes. Research design, data, and methodology: A quantitative design was applied using structured questionnaires from 203 active OFD users. Data were analyzed using SPSS and SmartPLS to assess relationships among seven key constructs, including the moderating role of perceived risk. A 4-point Likert scale was used to minimize neutral responses. Validity and reliability tests confirmed the strength of most constructs. Results: Content quality emerged as the most significant factor influencing satisfaction. In contrast, ubiquitous connectivity, contextual offers, and transaction accuracy had no significant effects. Satisfaction strongly predicted repeat usage intention. Perceived risk did not moderate this relationship. Gender, age, and monthly expenditure were significantly associated with reuse behavior. Conclusions: Enhancing content quality is essential for improving satisfaction and fostering loyalty among student users. OFD providers should prioritize information accuracy, visual presentation, and pricing strategies aligned with student needs. These insights offer practical guidance for optimizing user engagement and retention in competitive digital food delivery markets.
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Purpose: This study aims to model and predict team performance outcomes during the 2023 FIFA Women’s World Cup by integrating a supply chain perspective into sports analytics. The research addresses a gap in the literature by focusing on the distribution and flow of player and team performance data, which is critical for optimizing decision-making in modern football management, media reporting, and logistics. Research design, data and methodology: Data were collected from 60 matches involving 16 national teams, incorporating detailed player-level performance metrics. Five feature engineering strategies and seven machine learning algorithms were compared through rigorous nested cross-validation techniques. This analytical pipeline represents a structured supply chain of data processing and model evaluation. Results: Among the tested algorithms, logistic regression consistently outperformed others, achieving 99% accuracy under nested cross-validation and 95.8% accuracy on an independent test set. This indicates robust generalizability and practical reliability in predicting match outcomes. Conclusions: This study contributes a comprehensive machine learning framework tailored for women’s football, emphasizing the importance of data distribution efficiency. The results offer practical implications for enhancing performance forecasting, supporting coaching strategies, streamlining media reporting, and improving event supply chain operations in international sports tournaments
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Purpose: This study examines how influencer characteristics and jewelry product attributes influence perceived value and purchase intention in live commerce, focusing on Chinese consumers. The research aims to identify key factors driving consumer behavior in this emerging digital sales channel, with a particular emphasis on the role of logistics and trade in shaping purchasing decisions. Research design, data and methodology: A survey of 300 Chinese consumers with live commerce experience was conducted, and data were analyzed using structural equation modeling. The study measured the impact of influencer trustworthiness, expertise, and attractiveness, as well as jewelry price and quality, on perceived value and purchase intention. Results: Results reveal that influencer trustworthiness, expertise, and attractiveness significantly enhance perceived value. Price positively affects purchase intention, while quality shows negligible influence. Perceived value fully mediates the relationship between price and purchase intention and partially mediates the effects of influencer expertise and trustworthiness. Conclusions: The findings highlight the critical role of influencer credibility and competitive pricing in live commerce success, offering practical insights for marketers to optimize influencer collaborations and pricing strategies in the jewelry sector. Additionally, the study underscores the importance of efficient logistics and trade practices in ensuring seamless consumer experiences in live commerce environments.
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Purpose: This study examines how Amazon’s hybrid business model, which integrates distribution, logistics, and online-offline channels, strengthens its sustainable competitive advantage. Building on this analysis, the study's primary aim is to identify business insights from Amazon’s case that can guide Korean companies and K-Culture industry in developing global business strategies. Research design, data and methodology: A qualitative case study method was employed, focusing on Amazon as the primary subject. The research analyzed secondary data, including company reports, industry analyses, and financial records. Three theoretical frameworks, Resource-Based View, Dynamic Capabilities, and Complementary Effects, were applied to assess Amazon’s resource deployment, multiple channels integration, and adaptability. Results: It reveals that Amazon’s hybrid model successfully leverages rare internal resources, develops market-responsive capabilities, and creates effective synergies between online and offline operations. This strategic combination has enabled Amazon to establish a resilient, unique competitive position in rapidly evolving distribution and logistics environments. Conclusions: The research indicates that Korean firms and K-Culture enterprises can improve their global competitiveness by implementing analogous hybrid strategies. Specifically, the development of integrated distribution platforms, the promotion of dynamic market adaptation, and the reconfiguration of complementary value networks are essential for maintaining growth and extending their presence in international markets.
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Purpose: This study examines how experiential marketing influences user satisfaction and continued use intention on game distribution platforms. It also investigates the moderating role of platform interactivity between experiential dimensions and user satisfaction. Research Design, Data, and Methodology: Based on Schmitt’s (1999) Strategic Experiential Modules (SEMs) and the Expectation–Confirmation Model (ECM), experiential marketing is conceptualized across five dimensions: Sense, Feel, Think, Act, and Relate. Data were gathered through an online survey using a structured questionnaire, yielding 394 valid responses. Structural equation modeling (SEM) was employed using AMOS 29.0 to test the proposed hypotheses, and moderation effects were analyzed using the SPSS PROCESS Macro (Model 1). Results: All five experiential dimensions significantly predicted user satisfaction, which, in turn, positively influenced continued use intention. Additionally, platform interactivity significantly moderated the relationships between satisfaction and four experiential components—Feel, Think, Act, and Relate—while no significant moderating effect was found for Sense. Conclusions: The findings emphasize the importance of interactive platform design in enhancing user satisfaction and retention. This study contributes to experiential marketing theory by validating its application in digital gaming contexts and offers practical implications for optimizing platform interactivity to drive user engagement and strengthen retention strategies.