ISSN : 1738-3110
Purpose: Malaysia is grappling with a significant e-waste management challenge due to rapid population growth. Surprisingly, e-waste volumes expected to rise from 12,344 thousand units in 2016 to 24,504 thousand units by 2025. Low public engagement in recycling initiatives is a key issue, compounded by mobile distribution platforms with performance issues such as slow loading times, glitches, and unintuitive designs. Due to that, this study applies an extended E-SERVQUAL framework to assess the impact of mobile distribution platform features on e-waste recycling intentions and user satisfaction. Research design, data and methodology: A quantitative survey of 200 urban Generation Z individuals, aged 20 to 28, experienced in using recycling apps, was conducted and analysed using PLS-SEM. Results: The findings indicate that Privacy, System Availability, Fulfillment, and Green Knowledge significantly enhance User Satisfaction, while Efficiency has no direct impact. Indirectly, only Fulfillment through Green Knowledge positively influences User Satisfaction, with no significant effects observed for Privacy, System Availability, or Efficiency. Conclusions: This research highlights the importance of enhancing convenience via features such as easy access to recycling locations, scheduling pickups, and sending recycling reminders can increase participation. These insights provide practical recommendations for improving mobile distribution platforms to boost public engagement in e-waste recycling and foster sustainable behaviour.
Purpose: This research seeks to investigate the impact of last-mile delivery efficiency (LDE) on consumer perceptions of service quality (PSQ) and specifically the dual role of consumer time sensitivity (CTS) as a mediator and moderator of this impact. As the strategic significance and complexity of last-mile delivery in e-commerce have grown, this research combines marketing and logistics viewpoints. Research design, data and methodology: There was a quantitative online survey of 310 Turkish e-commerce consumers through a purposive sampling technique. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to examine the structural relationships among constructs. The measurement items were adapted from existing scales and were examined for reliability and validity. Results: The findings reveal that LDE positively affects CTS and PSQ. Furthermore, the effect of LDE on PSQ is mediated by CTS. CTS negatively moderates the effect, indicating that time-sensitive customers can be ever more demanding, diluting the positive impact of delivery efficiency. Conclusions: The results offer managerial and theoretical contributions. Theoretically, the research develops Service-Dominant Logic and Expectancy-Disconfirmation Theory applications within logistics settings. Managerially, it emphasizes the need to manage time-based consumer expectations by real-time delivery communication and personalized options.
Purpose: E-retailers increasingly recognize logistics service quality (LSQ) as a critical driver of business performance. This study examines the influence of LSQ on consumer satisfaction and further explores the impact of consumer satisfaction on electronic word-of-mouth (eWOM). Research Design, Data, and Methodology: Using a sample of 440 participants, the study employs partial least squares structural equation modeling (PLS-SEM) to assess the proposed framework. Data are analyzed by using SPSS and SmartPLS. Results: The results show that shipping, tracking, returns, and follow-up services positively influence consumer satisfaction. In addition, the results indicate the positive relationship between consumer satisfaction and eWOM. Moreover, in this study, the finding also shows that follow-up is not only a newly identified dimension of LSQ, but also the most influential factor among the examined antecedents affecting online shoppers’ satisfaction in Vietnam. Conclusions: This study contributes to expanding social exchange theory, expectancy disconfirmation theory and expectation confirmation theory regarding logistics service. This study also provides meaningful insights for both researchers and practitioners by emphasizing the critical role of follow-up, shipping, returns, and tracking in shaping consumer experiences within the context of online shopping. Positive logistics experiences not only increase consumer satisfaction but also encourage eWOM, benefiting businesses and service providers alike.
Purpose: This study examines the impact of the road network on economic development in the Mekong Delta of Vietnam. Research design, data and methodology: To analyze the impact of the road network on the economic development of the Mekong Delta region of Vietnam, this study proposes a panel regression model with the sample data collected from four central provinces in Mekong Delta of Vietnam, including Can Tho, An Giang, Dong Thap, and Tien Giang Results: the findings reveal that expanding the road network significantly increases total household income by 30,686.38 to 31,698.57 thousand VND and household expenditures by 44,055.83 to 46,315.5 thousand VND, with minimal variation across models. Additionally, good road connectivity enhances the proportion of non-agricultural income and working time, supporting economic diversification and productivity. Besides, the empirical findings show environmental benefits from the development of road networks, which can reduce congestion, fuel consumption, and emissions, thereby improving air quality and minimizing environmental degradation. Conclusions: Based on empirical results, the paper argues the need for strategic investments in road quality, public transportation systems, and sustainable infrastructure development to ensure equitable and inclusive growth. Despite limitations related to short-time data and regional focus, the study offers actionable insights for policymakers to enhance infrastructure's role in sustainable development.
Purpose: This study investigates the role of sentiment analysis in shaping hotel distribution strategies by analyzing online guest reviews in Badung Regency. The research examines how consumer sentiments correlate with ratings and their implications for optimizing distribution channels. Research Design and Methodology: Using VADER (Valence Aware Dictionary and Sentiment Reasoner), sentiment analysis was applied to hotel reviews collected from major online platforms. The extracted sentiment scores were analyzed to identify key trends that impact distribution effectiveness. Results: Findings indicate a strong prevalence of negative sentiments, particularly concerning cleanliness and staff behavior, which correlate with lower ratings. Positive sentiments highlight breakfast quality and staff friendliness. The results emphasize the influence of guest experiences on distribution channel performance, as negative reviews reduce a hotel’s visibility and attractiveness on Online Travel Agencies (OTAs). Implications for Indirect Distribution Strategies: To counter negative sentiment, hotels must adopt proactive strategies, including reputation management, service enhancement, digital marketing, and targeted promotions. A data-driven approach is essential to improving online visibility, guest satisfaction, and overall market competitiveness in the hospitality industry. Conclusion: This study underscores the significance of sentiment-driven distribution strategies in the hospitality industry. Hotels in Badung Regency can leverage guest insights to refine their digital presence, improve conversion rates, and gain a competitive advantage in an increasingly data-driven distribution landscape
In today's competitive business environment, having an effective strategy and an efficient distribution system is crucial for achieving success. Purpose: This study examines the role of distribution efficiency in mediating the relationship between multichannel strategy, business Capabilities, and business performance. Research Design, Data, and Methodology: A quantitative research approach was employed, with data collected through questionnaires distributed to 90 purposively selected culinary business actors in Makassar. Data analysis was conducted using Smart-PLS software. Result: The study shows that a multichannel strategy boosts business performance and distribution efficiency by expanding market reach and optimizing logistics. Distribution efficiency significantly improves business performance, highlighting the need for effective supply chain management. While business Capabilities do not directly impact performance, it enhance distribution efficiency, which then drives business success. Distribution efficiency also plays a crucial mediating role between multichannel strategy, business Capabilities, and business performance. Conclusion: These results underscore the critical role of distribution efficiency in optimizing logistics, reducing costs, and improving operational effectiveness. Strengthening distribution efficiency can enhance market competitiveness and drive long-term business success.
Purpose: The purpose of this study is to consolidate research trends on the distribution of marketing value, customer engagement, and inter-firm relationships through the use of social media in business-to-business (B2B) marketing. It also aims to identify emerging research directions and provide strategic insights for firms navigating digital distribution networks. Research design, data and methodology: This article uses a systematic review and bibliographic mapping analysis (VOSviewer) on 469 documents published between 2010 and 2024, extracted from the Scopus database and filtered through the PRISMA method. The study combines bibliometric and content analysis to examine how social media facilitates the digital distribution of marketing content, trust, and collaboration in B2B contexts. Results: The analysis reveals four key thematic clusters: social media marketing, digital distribution infrastructure, relational value co-creation, and platform-specific engagement. Most studies employ quantitative methods, with the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) as the dominant frameworks. Social media is shown to be instrumental in distributing marketing communication, enhancing stakeholder relationships, and supporting B2B sustainability. Conclusions: The findings enable B2B companies and policymakers to design more adaptive and relationship-driven distribution strategies. They also provide a theoretical foundation for future research into digital transformation and cross-border marketing infrastructure.
Purpose: This study investigates how design can address human safety needs, integrating psychological principles and practical design examples. Drawing from Maslow's hierarchy of needs and regulatory focus theory by Higgins, it explores safety beyond physical protection, including psychological comfort and stability. Research Design, Data, and Methodology: The research examines how these cognitive instincts can be applied in design practices and retail store design, through design case studies and literature reviews for design psychological principles. Results: The paper categorizes safety-related cognitive instincts of design users into three key areas: cognitive frugality, which emphasizes the brain's tendency to conserve mental resources so that they can be used in more critical situations; perceptual agility, which enables quick detection and interpretation of environmental cues, especially the cues related to threats and dangers; and psychological defensibility, the ability to create a sense of control over one's surroundings. Conclusion: By understanding these psychological principles, designers can create designs and retail environments that not only meet aesthetic and functional needs but also support and enhance human well-being by addressing deep-seated survival instincts. Therefore, the study could provide valuable insights for designers aiming to create designs and retail spaces that foster safety, security, and overall human flourishing.
Purpose: This study empirically analyzes the factors influencing international new ventures (INVs) export competency during the COVID-19 pandemic. The influencing factors included export market orientation, company size, export network level, and relationship marketing activities. In addition, it analyzes the differences between manufacturing and non-manufacturing, as well as the differences between the INV factors established before and after the COVID-19 pandemic. Research design, data and methodology: The empirical model considers the resource-based perspective, network theory, and relational capital utilization. This study uses an existing theoretical framework to conduct multiple regression analysis. Our analysis demonstrates the factors influencing exports using the KOTRA GLC test data. Results: Founded during a period of market shock, such as the COVID-19 pandemic, INV should strengthen its overseas market orientation and network with customers, which are related to capital. Additionally, collecting relevant technology and market information positively impacts enhancing competitiveness. Conclusions: Previous studies have focused on routine trade environments and firms' export competency. This study empirically investigates the factors affecting INVs’ export competence during the period of the market shock of the COVID-19 pandemic. Although the individual value and importance of market shocks, INVs, and export competence have been recognized in this field, an integrated model and theory have not been sufficiently explored.
Abstract Purpose: This study examines the relationship between digital transformation, innovation performance (product and process innovation), and the degree of internationalization in Korean manufacturing firms. The goal is to explore how digital transformation influences innovation performance and contributes to enhancing firms' degree of internationalization. Research Design, Data, and Methodology: Using data from the 2022 Korean Innovation Survey (KIS) conducted by the Science and Technology Policy Institute (STEPI), this study investigates the impact of digital transformation on product and process innovation performance. It also examines how these types of innovation affect the degree of internationalization. Results: The analysis reveals that digital transformation significantly enhances both product and process innovation performance. Furthermore, these innovation outcomes are positively associated with the degree of internationalization, highlighting their importance in expanding global business activities. Conclusion: While this study focuses on product and process innovation performance, it suggests that future research could examine other forms of innovation, such as organizational or marketing innovation. Additionally, exploring internal and external factors affecting digital transformation across various industries would deepen understanding. This research contributes to the growing literature by linking digital transformation to innovation and internationalization, offering theoretical insights and practical guidance for firms seeking global competitiveness.
Purpose: This study aims to systematically analyze current research trends in digital transformation in retail, focusing on omnichannel integration, artificial intelligence, and big data analytics. Our research addresses how these technologies are reshaping retail strategies and customer experiences in an increasingly digital marketplace. Research design and methodology: Following PRISMA guidelines, we conducted a systematic literature review of 25 carefully selected papers published between 2007-2024. Our search utilized major academic databases including Web of Science, Scopus, and ScienceDirect, with keywords related to retail, digital technologies, consumer engagement, and sustainability. We employed thematic analysis to identify key patterns and relationships across the literature. Results: Five key research areas emerged: omnichannel strategies and consumer experience, AI and big data applications for operational efficiency, AR/VR technologies for innovative shopping experiences, pandemic impacts on accelerating digital transformation, and digital technologies supporting sustainable retail practices. Our findings reveal that digital technologies are revolutionizing retail across the entire value chain, from product planning to after-sales service, with the COVID-19 pandemic serving as a significant catalyst. Conclusions: Retailers can gain competitive advantages through consumer-centric omnichannel strategies, data-driven systems, innovative customer experiences, resilient business models, and sustainable operations. This study contributes to both academic research and practical development in retail digital transformation
Purpose: The article extends the gravity model introduced by Tinbergen (1962) and further developed by many scholars such as Zheng et al. (2022), Akhtaruzzaman (2023), Shun-Chiao Chang (2014) and Hui-Ching Hsieh et al. (2019) to assess the impact of macroeconomic factors in Vietnam and its main partner countries on the flow of Vietnam’s outward foreign direct investment (OFDI). Research design, data and methodology: To analyze the drivers of Vietnam’s OFDI into 15 key host countries (which represented 93.9% of Vietnam’s total OFDI capital during the study period), the research uses the fully modified ordinary least square method (FMOLS) and the principal component analysis (PCA) technique with unbalanced panel data from 2007 to 2021. Results: The regression findings indicate that factors such as social index, the size of the economy, shared borders, and economic integration levels positively influence Vietnam's OFDI flows, while geographical distance negatively affects Vietnamese OFDI. Interestingly, the regression results showed that the economic index (comprised from three components namely inflation rate, unemployment rate, and bilateral exchange rate), has no statistically significant effects on Vietnam's OFDI. Conclusions: Based on these findings, the author suggests some recommendations to enhance OFDI flows from Vietnam in the context of its evolving economic integration.