In China’s modern economic system, e-commerce has become a crucial driver for the development of businesses and supply chains. To clarify the impact and mechanisms of e-commerce development on the competitiveness of corporate supply chains, this study conducts an empirical analysis using data from A-share listed companies between 2010 and 2022. The results indicate that: (1) The development of e-commerce significantly enhances the competitiveness of corporate supply chains, with results remaining robust after endogenous and robustness tests; (2) The level of e-commerce development can further promote the improvement of supply chain competitiveness by improving resource integration, alleviating financing constraints, and increasing R&D investment; (3) The effects of e-commerce development exhibit heterogeneity: in state-owned enterprises and firms with lower competition, the influence of e-commerce on supply chains is more significant; in regions with high-speed rail (HSR) connectivity, e-commerce not only stabilizes customer relationships but also promotes corporate innovation, whereas in areas without HSR, e-commerce development may significantly mitigate issues related to capital occupation. The core innovation of this paper lies in the construction of a “e-commerce—resource integration/financing constraints/innovation investment—supply chain competitiveness” three-dimensional driving framework, establishing a multi-indicator evaluation system, and conducting heterogeneity and mechanism analyses from multiple perspectives. This provides systematic empirical evidence for the role of e-commerce in enhancing supply chain resilience and competitive advantage, offering policy recommendations for businesses to effectively improve their competitiveness.

This study investigates whether perception of product quality positively mediates the relationship between interactivity and purchase intention and whether the relationship between interactivity and perception of product quality is moderated by cost such that higher-priced items strengthen the relationship. Differences between those consumers purchasing personally or as a business were considered. Three hundred and forty-nine participants experienced a simulated environment within a real-world retail website they had previously shopped at. Results from a questionnaire were analysed using moderated mediation regression analysis. The hypothesized theoretical model was supported for individual consumers with results indicating that the effect of interactivity on purchase intention is mediated by product quality, and this indirect effect is moderated by cost. No such result was found for business consumers. This research demonstrates a notable difference between purchasing behaviours of business and individual consumers when considering interactivity and perception of product quality.

E-commerce is one of the industries most affected by big data, from collection to analytics in the highly competitive market. Previous research on big data analytics in E-commerce focused only on particular applications, and there is still a gap in presenting a framework to evaluate big data applications from a challenges-values point of view. This study employs a three-phase methodology to evaluate big data applications in E-commerce with respect to big data challenges and values using a hybrid multi-criteria decision-making technique that combines BWM and fuzzy TOPSIS. The results showed process challenge and the strategic value obtained the highest weight for challenges and values criteria. Financial fraud detection is relatively the most challenging, and online review analytics is the most valuable application of big data in E-commerce among identified applications. Evaluating big data applications based on cost and benefit criteria is practical for E-commerce managers and experts to make decisions on implementation priorities to overcome the challenges and make the most of values. Moreover, the proposed approach is not only limited to big data analytics in E-commerce and can also be applied in other industries to evaluate emerging technology applications.

The purpose of this study is to analyse the simultaneous spatial relationship between economic growth and e-commerce as well as the spillover effect between the two variables in East Java at the beginning of the Covid-19 pandemic in 2020. To answer the research objectives, spatial simultaneous modeling is used with the Spatial Autoregressive Generalized Spatial Three Model. Stage Least Square (SAR-GS3SLS) using rook contiguity. Based on the results of the SAR-GS3SLS, it can be concluded that at the beginning of the Covid-19 pandemic in 2020 in East Java, economic growth and e-commerce were simultaneously spatially interconnected. Variables that affect East Java's economic growth are e-commerce activities, the number of villages that have Base Transceiver Stations (BTS) and the spatial lag of economic growth (ρ1) while the open unemployment rate (TPT) and the Gini ratio have no significant effect on growth. economy. Variables that affect e-commerce are economic growth, internet banking users, percentage of population who have cellphones, number of millennials, number of villages that have ATMs and spatial lag of e-commerce (ρ2) while the number of villages with 4G/LTE signals has no effect on e-commerce. commerce. Regencies/cities that provide the highest spillover of economic growth and e-commerce in East Java are Malang, Mojokerto and Madiun Regencies. The three districts were able to provide a positive net spillover.

The purpose of this study is to investigate how online to offline service quality influences the customer’s perceived risk and trust towards the retailer and how these factors impact customer satisfaction and intention to revisit. The present study incorporates intangible service quality offline aspects, such as empathy, and online aspects, such as mobility. The objective of the research is to examine the integration of online to offline service quality models in Saudi Arabia during the COVID-19 pandemic, using key aspects of offline, online and mobile service quality. The data was collected using an online survey of 289 respondents from Saudi Arabia. The analysis was conducted using partial least square and structural equation modelling. This study finds that the intangibility of service quality has a positive impact on perceived trust; however, the direct relationship between the intangibility of service quality and perceived risk is not supported. The study’s results support the hypothesis that customer satisfaction has a positive impact on the intention to revisit and that received trust positively affects satisfaction. The results have implications for service managers in the retailing and e-commerce sectors and offer a better understanding of how different channels of service affect customers’ perceptions and intentions to revisit.

In the world of digitization, e-commerce practices has become more popular and attracts manufacturers to combine their traditional retail channel with an e-channel. To add some salient features in the existing study, this study develops an optimal pricing and profit decision model for manufacturer-led dual-channel supply chain configurations; namely Vertically Integrated Dual-Supply Chain (VID-SC), Decentralized Dual-channel Supply Chain (DD-SC), Partially Integrate Dual-Supply Chain (PID-SC) and Horizontally Integrated Dual-Supply Chain (HID-SC). The aim of this study is to examine the effect of selected decision parameters namely cooperative advertisement, delivery lead time and free-riding on price and profit of manufacturer-led dual supply chain configurations. A linear programming for profit maximization is developed and backward induction method is used to find the optimum values of price and profit. A numerical analysis is performed to evaluate the effect of selected decision parameters on price and profit. To check the robustness of the outcomes an interaction plot is made to indicate the relationship between the selected decision parameters on optimum price. The best fit values of these decision parameters lead to the optimum price and the profit. The study helps to find the best fit value of the selected decision parameters for their specified dual-channel configuration. As a result, the model contributes as a guideline moreover it is proficient to guide manufacturers and channel members as a decision making practices without actual implementation of any strategy or policy.

This study represents a survey data of 466 community-based tourism establishments in the northern provinces of Vietnam such as, Yen Bai, Ha Giang, Tuyen Quang etc., with strongly developed community-based tourism activities based on the technology acceptance model (TAM). The results show that perceived ease of use of e-commerce has a positive and strong impact compared to perceived effectiveness of e-commerce on the intention to apply e-commerce to marketing communication activities in the supply chain of community-based tourism in Vietnam. In addition, if community-based tourism businesses perceive themselves as being modern, it will positively affect the perception of the ease of use and effectiveness of e-commerce, thereby indirectly bringing about a positive impact on the intention to apply e-commerce. Conversely, if they perceive themselves being traditional, it will negatively affect this relationship. Accordingly, this study helps provide practical evidence for promoting the application of e-commerce in tourism in remote, economically difficult areas in Vietnam and elsewhere. Nonetheless, the study remains limited when it has not been done a multi-group analysis to consider different influences of the factors of region, destination characteristics, type of tourism on intention to apply e-commerce for marketing communication activities in community-based tourism establishments.

This study investigates the key factors influencing intention to use e-commerce in an emerging market context, focusing on individuals residing in Saudi Arabia. A quantitative research approach was adopted, and data were collected using a structured questionnaire from 281 respondents through a convenience sampling technique. Data were analyzed using structural equation modeling with SmartPLS to test the hypothesized relationships. The results revealed that attitude, subjective norms, self-efficacy, and trust all had significant positive effects on intention to use e-commerce. Moreover, trust in e-commerce was found to influence attitude, which in turn mediated the relationship between trust and intention, highlighting the importance of trust as both a direct and indirect driver of online purchasing behavior. The R-square values indicated that 47.9% of the variance in attitude and 65.4% of the variance in intention were explained by the model, confirming strong explanatory power. The study concludes that trust, confidence, social influence, and positive attitudes are crucial for enhancing consumers’ willingness to engage in e-commerce. The study delivers essential information which helps e-commerce companies and marketing professionals and government officials to enhance consumer trust and digital shopping experience and build favorable digital commerce attitudes in Saudi Arabia.

This study aims to analyze the role of women and the strategic dimensions in accelerating poverty reduction. In the midst of the pandemic situation Covid-19 caused many medium and large businesses that experienced a downturn. Micro businesses began to grow amid the economic difficulties faced by the community to be able to survive. The role of women in accelerating the poverty reduction through the management of micro businesses is a top priority for sustainable development. This research is located in Buleleng Regency, Bali Province and uses quantitative methods. Primary data sources were obtained using questionnaires sent to respondents. The data analysis method uses multiple linear regression. The population consists of micro-enterprises managed by women in 2019 of 246 businesses. The selecting samples method is based on convenience sampling and the entire population was sampled in this study. The results in this study indicate that financial literacy and women empowerment had positive and significant effects on women performance in micro-businesses. Interest in using e-commerce had no effect on women’s performance in micro businesses. Without the use of e-commerce, it is believed that women in micro-businesses will be increasingly left behind by other business actors, and age matters in association with technology and competition between other business actors which will be tighter to have an impact on performance and sustainability of the business.

E-commerce can optimize the communications between producers, distributors, consumers, and even policy makers. However, due to many reasons, the application of e-commerce by small and medium-sized enterprises (SMEs) in developing economies is still limited. This study focuses on determining the determinants of the application of E-commerce model in SMEs in Ho Chi Minh City. Then, some policy implications are proposed to promote e-commerce model in SMEs in Ho Chi Minh City. Based on the survey of 302 SMEs in Ho Chi Minh City, the paper has employed statistical methods, assessing the reliability by Cronbach's Alpha scale, Exploratory Factor Analysis (EFA), correlation analysis as well as linear regression model (OLS) for analysis. The results show that the enterprise's readiness, awareness of benefits of e-commerce and supporting policies positively affect the application of E-commerce. E-commerce adoption barriers negatively affect E-commerce applications of SMEs in Ho Chi Minh City.