Electronic Commerce Research最新文献

We investigate the adoption of cashless payment systems by small retailers and their upstream suppliers (wholesalers, distributors, and manufacturers) serving the bottom-of-the-pyramid customers in India. We use the Technology-Organization-Environment framework to hypothesize how relative advantage, perceived barriers, firm size, firm scope, and competition influence the adoption of cashless payment systems. We collected data from 392 small retailers and 269 upstream suppliers from urban, semi-urban, and rural India. The results indicate that perceived barriers, firm scope, firm size, and competition influence the adoption of cashless payment systems. Upon further investigation, we found that all five factors influence retailers’ adoption of cashless payment systems, but only firm scope and competition are significantly related to adoption for upstream suppliers. These results highlight that the factors influencing the adoption of cashless payment systems may also depend on supply chain position. We discuss the theoretical and practical implications of these results. We also validate the findings from our quantitative analysis by presenting excerpts from interviews with the merchants.

This paper uses the panel data of 31 provinces in China from 2011 to 2021 to empirically test the relationship between digital inclusive finance (DINDEX), regional innovation, and common prosperity (CPP) by using the fixed effect model as well as the structural equation model. According to the findings of the study, digital inclusive finance has a considerable promoting influence on the attainment of the aim of common prosperity, with the breadth and depth of coverage of digital inclusive finance having a greater promoting effect on common prosperity. Based on the analysis of regional heterogeneity, digital inclusive finance has a favorable influence on boosting the common prosperity level of China's Eastern and Central provinces. Furthermore, digital inclusive finance has a higher driving influence on common prosperity in the Eastern provinces but has no effect in the Western provinces. The level of regional innovation has played a partial mediating role in the process of promoting common prosperity through digital inclusive finance. Therefore, it is necessary to focus on the integration and development of digital inclusive finance and regional innovation, to help the realization of common prosperity.

Consumers have used digital payments widely in recent years, and the COVID-19 pandemic accelerated this process. Similarly, academic interest in this topic has followed this trend. Various primary research studies have been published, and defragmentation and conflicting findings were found. Meta-analytic studies are essential for organising the relationships tested and pacifying inconsistent results. Thus, we propose meta-analytic structural equation modelling research from 70 independent studies that acceded 286 effect sizes from more than 30 countries. Testing an integrated model with the main antecedents of digital payment intention to use was possible. We also evaluated indirect and moderator effects. We found that consumers’ trust is the most influential construct in consumer attitudes. Furthermore, we detected the partial mediation effect of attitude on the relationships between social norms, trust, perceived ease of use, and perceived usefulness on digital payment intention to use. Finally, we identified significant moderation effects of the human development countries index and gender on the relationships proposed.

Pet food subscription-based online services (SOS) fulfill the demand for pet food that fits pets’ characteristics and health necessities. The present research explores the antecedents of pet food SOS customer satisfaction and its effect on continuance intention, positively moderated by price. 28,786 online reviews from 10 pet food SOS brands were collected from Trustpilot to generate a term-frequency matrix through text mining techniques and used as an input to construct a structural equation model. Results suggest that e-service quality (E-SQ), perceived healthfulness, ingredients and nutritional composition, and packaging positively influence customer satisfaction, subsequently predicting continuance intention. In turn, price was not confirmed as a positive moderating factor in the relationship between customer satisfaction and continuance intention.

One of the impacts of the COVID pandemic has been to force people to find alternates sources for daily supplies, turning to online to offline (O2O) platforms. The service quality of the O2O platform naturally affects the satisfaction which in turn has an impact on customer retention. The aim of this study is to evaluate the service quality of O2O platform to find strategies to improve consumer satisfaction. This study proposed a hybrid RS-DANP-CoCoSo model, which applies the rough set (RS) method to obtain the factors which influence the service quality of O2O platforms. The Analytic Network Process based on the Decision-making Trial and Evaluation Laboratory method (DANP) is applied to obtain the relationships and weights of the factors. The results indicate that empathy, social interaction and recommendation quality are the three most important factors. The practicability of our evaluation model is verified using the combined compromise solution (CoCoSo) method to evaluate the service quality of four O2O platforms in China. The hybrid model proposed in this study is applied to evaluate and diagnose online consumer satisfaction levels, providing personalized solutions for merchants to improve services. Finally, management implications based on the findings are also discussed.

Abstract

Rural e-commerce promotes the rapid development of the rural economy with advanced digital technology. Digital dividend attracts farmers to participate in rural e-commerce entrepreneurial activities. Using the survey data of Taobao villages in China, this study examines the impact of social capital on farmers’ participation in e-commerce entrepreneurship. The results show that social capital has a positive effect on farmers’ e-commerce entrepreneurial behavior. Additionally, different dimensions of social capital have different impacts on farmers’ e-commerce entrepreneurship. The impact of social networks and social norms on farmers’ e-commerce entrepreneurship is greater than that of social trust and social participation. The higher the educational level of farmers, the more pronounced the influence of social networks on their e-commerce entrepreneurial behavior. Moreover, we find that social capital influences farmers’ e-commerce entrepreneurship by enhancing the information capability of farmers. Information capability plays a partial mediating role in the impact of social networks and social norms on farmers’ e-commerce entrepreneurial behavior, and plays a complete mediating role in the impact of social participation. Our study emphasizes farmers’ social capital plays an important role in expanding information channels and promoting farmers’ participation in e-commerce, which provides valuable references for other countries and regions to develop rural e-commerce.

This paper explores how a region in a developing country can trigger and strengthen the positive impacts of the Internet on farmers’ income, using the case of flower and tree industry cluster in Shuyang County, Jiangsu Province, China. It finds that the combination of macro-level Internet popularization, micro-level Internet use, and local endowment conditions triggers the effect of the Internet on increasing farmers’ income. The case also shows that the continuous enhancement of this effect is essentially because internal supply can adapt to the continuous online migration of external demand and make creative adjustments, thereby achieving the cumulative fit of internal supply and external demand. This study can provide empirical evidence from China for the digital dividend issue in rural areas of developing countries, and provide a reference for developing countries to promote the role of the Internet in empowering farmers and increasing their incomes.

Abstract

Since customers’ demands usually exhibit a greater degree of diversity and personalization, and suppliers’ service capacity fluctuates dynamically, the disruptions of service supply chain (SSC) will occur when focal firm cannot find appropriate suppliers that completely meet customers’ requirements at specific time and place. To address this challenge, a novel SSC resource orchestration mechanism has been proposed based on large-scale researches on Chinese service enterprises. From the theoretical lens of viability supply chain framework and resource orchestration theory, the process of service suppliers reconstructing their capabilities has been scrutinized. On this basis, this study formulates the optimization model for SSC configuration which captures a trade-off between profitability and service quality, and adopts the improved NSGA-II algorithm to solve the bi-objective optimization model. For verification and validation of the proposed mechanism and algorithm, the presented methodology has been applied in a real-business case of a Chinese leading transportation technologies consulting service enterprise. This study demonstrates that a more flexible and profitable SSC can be reached in the changing business environment through the reconstruction of suppliers’ capability and the reconfiguration of the entire supply chain. Besides, all the participants can benefit from the configuration schemes since the interest-sharing strategy has been considered in the optimization model.

This paper optimized the e-commerce live streaming atmospheric cues scale and then used the SOR model to study the impact of atmospheric cues on consumers' impulse buying behaviors while considering the mediating role of social presence. Questionnaires were collected from consumers with e-commerce live streaming shopping experience, and Mplus 7.4 was utilized for analyzing the measurement model and structural models. We optimized the existing atmospheric cues scales by adding interactive cues, music design, and other elements to better measure the atmospheric cues in e-commerce live streaming. The findings confirm the reliability and validity of the e-commerce live streaming atmospheric cues scale, comprised of four dimensions: information, navigation, design, and interactive cues. Additionally, information, design, and interactive cues were positively associated with consumers' impulse buying behaviors, while the mediating role of social presence partially explains these relationships. However, the relationship of navigation cues on impulse buying behaviors is not significant. This optimized scale provides a valuable measurement tool for measuring atmospheric cues in future research. Furthermore, the empirical study sheds light on the antecedents of impulse buying behaviors by examining the impact of atmospheric cues and the mediating role of social presence. The results offer practical suggestions for e-commerce live streaming operators to increase consumer purchases: (1) Optimize the design cues by carefully designing colors and layout, appropriately using and coordinating colors and lighting, and playing suitable background music. (2) Provide diversified and personalized information by enhancing the professionalism of the broadcasters and promptly addressing viewer questions from the bullet chat. (3) Actively engage consumers by inviting them to participate in the live streaming sessions, creating an immersive shopping experience.

Considering the increasing inclination of modern consumers to frequent large retail chains capable of promptly fulfilling their diverse needs, there is a noticeable surge in the prevalence of contemporary shopping complexes. Subscription services, customer-focused strategies, and efficient supply management are driving the progression of intelligent commerce within these expansive retail platforms. The Internet of Things (IoT) presents the foundation for “smart” retailers that can monitor inventory levels, diminish equipment failures, and provide better customer experience. Many models, as one of the widely used methods in this domain, Markov Logic Network (MLN), can simultaneously use activity knowledge and data by unifying probability and logic. In this research, we determine a smart deals system (SDS), consider the improved machine learning algorithms to meet performance, and develop secure human-centric consumer applications to render the system workable. From the results, and based on the percentage of efficiency, around 10% of clients are connected randomly, which has a minor impact on the outcomes from LR (logistic regression). Similar outcomes are delivered when the number of customers in the scope of 30–40% is connected for NB (Naive Bayes). Hence, prospective shopping sales will increase along with the efficiency and speed at which it operates.