E-commerce Research Articles

Collaborative Development of Cross-border E-commerce and Agricultural Product Supply Chain: Opportunities, Challenges and Solutions

Abstract: The development of science and technology and the deepening of globalisation have opened up new directions for developing the agricultural industry. With the gradual expansion of the scope of Internet +, traditional trade has gradually evolved into e-commerce, and relatively simple domestic trade has gradually expanded into cross-border transactions. With the help of e-commerce platforms, sales channels can be expanded, and the share of agricultural exports can be increased. The development of cross-border e-commerce is highly valued and mutually supportive of the agricultural product supply chain (APSC), which promotes the international trade of agricultural products. Optimised APSC provide high-quality produce to meet consumer demand. Technological innovations such as big data and the Internet of Things (IoT) bring smart and efficient optimisation solutions to APSC, improving the efficiency of product distribution. This paper reviews the research on cross-border e-commerce and APSC by some scholars in recent years, summarises the current development of cross-border e-commerce, describes the problems of APSC, and proposes solutions. Reviewing and summarising the relevant research literature aims to help scholars understand the development of cross-border e-commerce and APSC more systematically and comprehensively, and to provide strong support for future research and practice.

Research on the Development Status and Countermeasures of Rural E-commerce in China

Abstract: With the rapid development of the internet, the rural e-commerce in China has also evolved prominently. And it becomes increasingly widespread as well. Concurrently, various issues have surfaced in rural areas, which hinder further development of rural e-commerce in China. Recognizing this complexity, the dissertation delves into the current landscape of rural e-commerce, exploring both its inherent strengths and weaknesses, as well as the opportunities and threats it currently faces. The dissertation aims to clarify the fundamental development ideas and direction for the rural e-commerce in China, not just in theory but also in practical application. To illustrate this, it utilizes the example of Pinduoduo, a prominent e-commerce platform, to analyze how such platforms can effectively contribute to the advancement of rural e-commerce. Finally, the dissertation offers a set of forward-looking suggestions for the future of rural e-commerce, such as intensifying policy promotion, cultivating professional talents, and strengthening network infrastructure.

Legal Risk Mitigation in Mutual Fund Sales Through E-Commerce Platforms

Legal Risk Mitigation in Mutual Fund Sales Through E-Commerce Platforms

Empirical study on the psychological mechanism of consumers in the context of live streaming seafood sales: evidence from China

The advent of the 5G era signifies China’s official entry into the digital economy. This technological shift has attracted countless merchants to the market via e-commerce platforms, seeking to capitalize on new opportunities. Concurrently, it offers a novel avenue for expanding seafood sales channels in China. The interactive and intuitive nature of e-commerce live streaming has subtly but significantly influenced and shaped consumers’ purchasing behaviors. In light of this, this study, based on 330 valid survey responses and grounded in the theories of perceived value and consumer trust, explores the psychological mechanisms affecting consumers in the context of e-commerce live streaming for aquatic products. The findings reveal that: (1) Consumer trust positively impacts purchase intention in the context of live-streamed seafood e-commerce. (2) Perceived entertainment value positively influences consumer purchase intention. (3) Perceived utilitarian value also positively influences consumer purchase intention. This paper contributes theoretically by broadening the application of perceived value theory and enhancing the understanding of consumer behavior concerning seafood. Additionally, it may offer practical insights into the expansion of seafood sales channels and market scale in other countries and regions.

A Supervised Ml Algorithm for Detecting and Predicting Fraud Credit Card Transactions

A Credit card fraud presents an escalating threat in today's digital economy, leading to significant financial losses for consumers, businesses, and financial institutions. Traditional detection methods are increasingly inadequate due to the rise in online transactions and the evolving complexity of fraudulent activities. This research aims to create a reliable supervised machine learning model designed to detect and predict fraudulent credit card transactions in real-time. Our approach leverages advanced algorithms and extensive datasets to enhance transaction security, thereby mitigating financial risks. Current systems, like FICO's Fraud Detection System (FDS), utilize a range of supervised learning techniques, including Decision Trees, Random Forests, and Neural Networks. However, they face limitations, including data quality issues, high false positive rates, and the need for continuous retraining to adapt to evolving fraud patterns. To address these challenges, we propose an innovative anomaly detection method based on the Isolation Forest algorithm. Unlike traditional methods that rely on distance and density measures, Isolation Forests isolate anomalies by randomly selecting features and split values, making it more efficient in identifying fraudulent transactions, especially in imbalanced datasets. The proposed system boasts low linear time complexity and minimal memory requirements, enabling the construction of high-performing models even with large datasets. The research demonstrates that the Isolation Forest approach significantly outperforms traditional models in detecting credit card fraud, offering a promising solution for enhancing security in the financial ecosystem.

An Innovative Perspective for Constructing Cultural and Creative e-Commerce Platforms: Integrating Insights from ICDT Theory and Brand Personality

Thriving in competitive business environments requires innovation, especially within cultural and creative-based e-commerce platforms. This study examines the application of two prominent theories, ICDT theory and brand personality, in assessing new business models. Focusing on 479 respondents from Taiwan, this research explores how the implementation of ICDT and brand personality in cultural and creative e-commerce influences customer behavior. Statistical analyses and the Smart PLS method are adopted to identify the significance of and relationships between the variables in the structural equation model. The profound influence of the ICDT model is evident in the emergence of virtual information space, virtual communication space, and virtual transaction space. Brand personality traits underscore the significance of intellectual excellence, M-type traits, seeking innovation and change, and stable reliability in shaping customer values. This research enriches the literature by emphasizing the essential role of innovative technologies and brand issues integrated with core product attributes for successful consumer acceptance in the fiercely competitive landscape of e-commerce platforms.

The determinant factors of continuance use of customer service chatbot in Indonesia e-commerce: extended expectation confirmation theory

Purpose The implementation of customer service chatbots in various industries is increasingly accepted globally. Previous research has not extensively explored the relationship between chatbot disclosure, technology anxiety, chatbot quality, customer experience and customer satisfaction derived from using chatbot customer service in e-commerce. Therefore, this paper aims to examine the determinant factors of customer service chatbot continuance intention by extending the expectation confirmation theory (ECT). The researchers integrate chatbot quality, technology anxiety and disclosure into ECT to comprehensively understand the phenomena. Design/methodology/approach The quantitative study uses the partial least square structural equation model disjoint two-stage approach with a sample of 310 respondents collected using purposive sampling. Findings The study reveals that perceived usefulness, confirmation and satisfaction positively affect customer service chatbot continuance intentions. Moreover, chatbot disclosure can enhance chatbot quality. However, technology anxiety negatively affects chatbot quality. Originality/value This research contributed to adapting customer service chatbots in Indonesian e-commerce, focusing on chatbot quality, technological anxiety and transparency. Furthermore, it underscores the need for clarity, addresses transaction-specific concerns and artificial intelligence-driven customer assistance in the Indonesian market.

Policies, Progress, and Prospects for Internet Telemedicine in China

ABSTRACT Around the world, the adoption of digital technologies in health care has accelerated considerably in the wake of the COVID-19 pandemic. Prior to the emergence of the pandemic, China had already embarked on a private sector, technology enterprise-led creation of an innovative internet health care ecosystem, which has dramatically transformed China’s health care landscape. In this article, we describe the evolution of China’s internet health market, focusing on internet telemedicine. We trace its early origins with the establishment of information networks in the 1980s, to the emergence of a fast-growing internet health market in the 2010s that leveraged the capabilities of technology enterprises in e-commerce, logistics, and payment systems. Private health care platforms have played a central role throughout this transformative process. The supplyside of the market has a unique public-private mix structure, with the coexistence of public and private internet hospitals, and with the majority of telemedicine services provided by public hospital doctors working on private platforms in a dual practice capacity. We conclude with a discussion of the prospects of internet telemedicine, including how it should be optimized and harnessed to improve China’s health system. Finally, we set out areas where more research is needed.

ICTS as Tools for Local Development: Santa Elena Province; A View from the SDGs

Introduction: Currently, there are social problems that affect humanity, one of them is the gap between knowledge of ICTs and their application in social networks for access to information in a timely manner in order to contribute to personal and professional development and contribution to the development of the community. The State provides opportunities based on programs, projects and strategies to direct aid and educate the population in the digital age. Objective: The research objective is to determine the way in which ICTs are used as tools for local - community development through the qualitative-quantitative approach to strengthen the development of the Amantes de Sumpa neighborhood in the Province of Santa Elena. Method: The methodological process applied in this topic is descriptive and deductive, as well as the types of documentaries, field; as well as the population that will be stratified in the neighborhood, which was investigated through the survey and the interview with the neighborhood leader. The reliability of the Likert-type instrument was also carried out by calculating Cronbach's Alpha, which was 0.833. Results and conclusions: The people participating in the research stated that it is important to develop care agreements, promote technological services, since access will allow improving the productive activities of entrepreneurs in the Amantes de Sumpa neighborhood, and promote an electronic commerce system that can be installed from public or community institutions in such a way that this serves for the permanent dissemination of the economic activities carried out by the neighborhood sector.

The Role of Satisfaction in Mediating the Relationship between Brand Trust and Brand Image towards Consumer Loyalty on E-Commerce Platforms

The rapid development of communication technology today offers increasingly diverse forms of communication, making communication unrestricted by boundaries, distance, space, or time. This is also driven by the continuous growth in internet usage, which has become a lifestyle for people to meet their needs. One of the needs that massively utilizes the internet is the activity of purchasing goods or services online, or what is known as e-commerce, which refers to the use of communication networks and computers to conduct business processes. The online business world is closely associated with various issues such as fraud, dissatisfaction, and other forms of dishonesty by marketers. Customer satisfaction has a positive impact on customer loyalty. Customer loyalty is usually identified through repeated purchasing patterns. Satisfied customers tend to make repeat purchases and demonstrate loyalty to the product. Customer satisfaction is the feeling of pleasure or disappointment experienced by a customer when comparing a product's performance with their previous expectations of the product. If the product's performance fails to meet expectations, the customer will be dissatisfied. This research aims to determine whether satisfaction can mediate the relationship between brand trust and brand image towards loyalty. The population in this study consists of residents in Denpasar City, with the sample determined using purposive sampling. Data analysis techniques use SEM PLS.

Development and Validation of an AI Virtual Streamer Scale for Live-Streaming E-Commerce

In recent years, AI virtual streamers (i.e., digital characters with human-like appearances) have become a pervasive e-commerce phenomenon but remain almost unexplored in the literature on e-commerce marketing. The possible reasons for this deficiency are the vagueness of the AI virtual streamer concept and the lack of a measurement tool. Therefore, this study aimed to conceptualize AI virtual streamers and develop an AI virtual streamer characteristic scale through five stages based on social response theory. Following item generation, measurement refinement, exploratory factor analysis, confirmatory factory analysis and nomological validity, a third-dimensional (persona, anthropomorphism, and interactivity) scale with 10 items was established. Empirical results reveal sound measurement qualities in terms of reliability and validity, and demonstrate its unique position in respect to established marketing concepts. The developed scale has managerial implications for designing and applying virtual humans or avatars, such as virtual employees, virtual spokespersons, virtual idols, and virtual guided tours. This tool also enables future research on virtual live streaming, such as virtual destination live streaming, virtual education live streaming, or virtual live concerts.

Predicting Consumer Behavior in E-Commerce Using Recommendation Systems

As e-commerce platforms continue to expand, understanding consumer behavior has become crucial for enhancing customer satisfaction and driving business success. Recommendation systems play a pivotal role in predicting consumer preferences and delivering personalized product suggestions. This paper presents an extensive literature review on recommendation techniques, including collaborative filtering, content-based approaches, and hybrid models. Notable advancements, such as the use of deep learning, trust-based filtering, and context-aware models, are highlighted. Building on these foundations, we propose a novel model that integrates advanced machine learning algorithms with consumer behavior analysis to predict preferences more accurately. The expected results suggest that this model will improve the precision of recommendations, effectively addressing challenges like data sparsity and evolving user preferences and enhancing overall customer engagement in e- commerce environments.

Internet of Things and Distributed Computing Systems in Business Models

The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. Also, automation via IoT reduces manual intervention, resulting in boosted productivity in smart factories and automated supply chains. IoT devices generate this vast amount of data, which businesses analyze to gain insights into customer behavior, operational inefficiencies, and market trends. In turn, Distributed Computing Systems process this data, providing actionable insights and enabling advanced analytics and machine learning for future trend predictions. While, IoT facilitates personalized products and services by collecting data on customer preferences and usage patterns, enhancing satisfaction and loyalty, IoT devices support new customer interactions, like wearable health devices, and enable subscription-based and pay-per-use models in transportation and utilities. Conversely, real-time monitoring enhances security, as distributed systems quickly respond to threats, ensuring operational safety. It also aids regulatory compliance by providing accurate operational data. In this way, this study, through a Bibliometric Literature Review (LRSB) of 91 screened pieces of literature, aims at ascertaining to what extent the aforementioned capacities, overall, enhance business models, in terms of efficiency and effectiveness. The study concludes that those systems altogether leverage businesses, promoting competitive edge, continuous innovation, and adaptability to market dynamics. In particular, overall, the integration of both IoT and Distributed Systems in business models augments its numerous advantages: it develops smart infrastructures e.g., smart grids; edge computing that allows data processing closer to the data source e.g., autonomous vehicles; predictive analytics, by helping businesses anticipate issues e.g., to foresee equipment failures; personalized services e.g., through e-commerce platforms of personalized recommendations to users; enhanced security, while reducing the risk of centralized attacks e.g., blockchain technology, in how IoT and Distributed Computing Systems altogether impact business models. Future research avenues are suggested.

Assessing the Determinants of Metaverse Adoption for E-Commerce Retailing

ABSTRACT The advent of metaverse technology has impacted the retail sector, shaping e-commerce platforms into a new form of metaverse-based online shopping environments. The metaverse e-commerce experience is new to shoppers, making it crucial to comprehend consumer reactions to this technology in the context of retail. This study explores the shopping intention and potential use of the metaverse for shopping using the UTAUT2 model and metaverse-based context-specific antecedents. Using a structured questionnaire, data from 1340 consumers were collected and analyzed through PLS-SEM. The findings indicated that factors such as performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions influence shopping intention in the e-commerce metaverse. The metaverse-related antecedents, namely, a sense of immersion and imagination, have a positive influence, whereas technological anxiety and perceived security and privacy concerns have a negative impact on e-commerce shopping intention in the metaverse. It was also found that shopping intention influences the potential use of metaverse for shopping and that stickiness to traditional shopping negatively moderates this relationship. This unique research explores consumer buying behavior in the metaverse. It provides marketers, e-commerce managers, designers, and developers of metaverse platforms with the antecedents of the potential use of the metaverse for shopping insights. Consumer policymakers can also draw insights from this study.

A Study on Revenue Distribution of Chinese Agricultural E-Commerce Supply Chain Based on the Modified Shapley Value Method

With the rapid development of e-commerce in China, “live broadcast + e-commerce” has become an emerging mode of the e-commerce industry. The speedy growth of the digital economy has also provided a favorable external environment for fresh agricultural products to ride on the e-commerce express train. As a result, more and more suppliers of fresh agricultural products choose to sell their products on e-commerce platforms and conduct live streaming. This paper utilizes the e-commerce supply chain field survey data, takes tomato as the specific analyzed variety, and studies the revenue distribution pattern of each subject in the supply chain. The purpose of this paper is to explore the optimization strategy of the revenue distribution of an agricultural e-commerce supply chain, and the results show that the agricultural e-commerce supply chain effectively promotes the matching of supply and demand of medium- and high-end agricultural products, realizes the quality premium of medium- and high-end agricultural products, and significantly improves the overall revenue level of the supply chain. The field survey found that under the supply chain model of “farmers + cooperatives + e-commerce platform”, farmers, cooperatives, and e-commerce platforms gained $2865, $3098, and $1111, respectively, for operating one mu of tomatoes in a year. According to the traditional Shapley value method, from the point of view of the contribution to the cooperative income, part of the income of the farmers and cooperatives should be compensated to the e-commerce platform, and the specific results are as follows: the income of the farmers should be reduced from $2865 to $2729, the income of the cooperatives should be reduced from $3099 to $2955, and the income of the e-commerce platform should be increased from $1111 to $1390. According to the Shapley value method based on the risk coefficient correction, from the perspective of risk compensation, part of the earnings of the e-commerce platform should be compensated to farmers and cooperatives, so as to establish a more equitable and reasonable pattern of earnings distribution, with the specific results: the earnings of farmers should be increased to $3205, the earnings of cooperatives should be increased to $3148, and the earnings of the e-commerce platform should be reduced to $722.

Assessment of Factors Affecting Customer Preferences and Customer Satisfaction on Online Shopping Experiences Case of Delhi NCR

This study is on assessment of factors affecting customer preferences and customer satisfaction on online shopping experiences in Delhi NCR. It is mandated to look into the different aspects of e-shopping, from factors that determine the individual preferences, to those that influence satisfaction and some pain points that the customers experience. The objectives of the research are to look into what influences consumers' choice of e-commerce platforms, evaluate and assess the different aspects contributing to customer satisfaction in the online shopping experience, and explore common challenges faced by customers while shopping online. The study offers important insights into the dynamics of e-commerce platforms and consumer preferences through a thorough examination of these goals. A number of factors, such as frequency of purchases, price competition, app use, return policies, and delivery reliability and speed, affect customers' choice of e-commerce platforms. According to the analysis, the majority of users give priority to platforms that provide easy-to-use payment methods including E-payments and Cash on Delivery (COD) (71%). One important feature that stood out was price competitiveness (58%); consumers favored platforms that provided a large selection of products at competitive prices. Customers also emphasized the importance of the user-friendliness of apps, the return policy, and the dependability and timeliness of delivery while choosing e-commerce platforms. The majority of consumers (77%) are satisfied with their online purchasing experiences, according to the study. Customer satisfaction is largely influenced by the usability of websites and mobile apps, the reliability and speed of deliveries, and the correctness and quality of the products. Platforms that provide high-quality products, timely and dependable delivery services, and user-friendly interfaces are highly valued by customers. These elements have a big impact on how satisfied consumers are with e-commerce sites overall. Although consumers are generally satisfied, there are a number of difficulties when they shop online. Common pain points experienced are poor product quality, complicated or nonexistent return processes, worries about payment security, language barriers, and improper item deliveries. These difficulties highlight how critical it is to respond to consumer complaints and improve the online shopping experience by implementing stronger security measures, clear return procedures, and better-quality products. Several recommendations are put out in light of the findings in order to boost e-commerce platform efficacy and raise customer satisfaction. The study further acknowledges limitations, which could affect how broadly the results can be applied, such as its limited sample size and resource limits. In order to offer more thorough insights into the tastes and behaviours of e-commerce customers, future research projects should address these shortcomings. The study concludes by highlighting the multifaceted nature of client preferences and issues in the e-commerce sector. E-commerce platforms may promote stronger client loyalty and drive sustainable growth in the cutthroat online marketplace by comprehending the variables impacting platform choice, improving components contributing to customer satisfaction, and addressing frequent issues experienced by customers.

Research on the Green Development of E-Commerce Economy Based on E-Commerce Platform

While innovating global trade and service models, driving profound changes in business models and consumer behaviors, the e-commerce economy is also accompanied by problems such as resource consumption and environmental pollution, which have aroused people's concern and profound thinking about sustainable development. In this context, green development has gradually become a global consensus. It has become an urgent research topic to correctly understand the relationship between them and integrate green concepts into the development of the e-commerce economy to achieve the dual goals of economic benefits and environmental sustainability. This paper selects two major e-commerce platforms, Amazon and JD, as cases, summarizes the current situation of e-commerce platforms and green development, reveals the relationship between the two, points out the challenges faced, and puts forward corresponding solutions, emphasizing the importance of technological innovation, policy guidance, consumer behavior education, and win-win cooperation. This paper reviews the state of e-commerce platforms and sustainable development, highlighting the linkage and addressing challenges with proposed solutions, underscoring the roles of tech innovation, policy, consumer education, and a collaborative strategy. This helps to highlight the vital role of e-commerce platforms in global economic growth and business innovation, increase their emphasis on environmental protection and social responsibility, and promote future paths and prospects in achieving long-term sustainable development goals.

The Impact of Live-Streamed Selling on Consumer Purchasing Behavior

In recent years, with the rapid development of the Internet and major e-commerce platforms, "live-streamed selling" as a novel marketing method has entered the vision of consumers and gradually become an important way to market goods to consumers. In addition, economic development has enriched people's material life and increased the frequency of people using the Internet, which further increases the possibility of live streaming to attract consumers and increase purchasing behavior. This paper aims to discuss the impact of live-streamed selling on consumer behavior, mainly focusing on the impact of commodity characteristics, anchor characteristics, atmosphere and after-sales service on consumer behavior in the process of live delivery. In addition, this paper also discusses the impact and distress of live delivery on consumer behavior and puts forward some countermeasures. However, live-streamed selling faces challenges like information asymmetry, false propaganda, and counterfeiting due to inadequate supervision. The study suggests strict product quality checks, enhanced after-sales services, and improved supervision mechanisms to ensure reliable, authentic, and safe sales practices.

A Holistic Review on Impact of Demonetization on Animal Husbandry Sector

The impact created in the year 2016 by demonetization policy on India's animal husbandry industry analyse different effects which are critically analysed using different studies. The goal of demonetization, which invalidated ₹500 and ₹1000 banknotes, was to suppress corruption, burden the use of counterfeit money, and encourage online transactions [1,2]. Animal husbandry holds as strongest pillar of India's rural economy, and the current study of demonetization examines the short- and long-term effects on it. The short term effects like Price volatility, lack of liquidity, and decreased market demand particularly impacted small-scale livestock, dairy, and poultry producers [3]. The studies also suitably reveal that farmers faced many significant challenges, including loss of livelihood, disrupted supply chains, and restricted access to banking facilities, increased debt, and limited farm investments [4]. The Long-term effects included a rise in the use of formal banking, a move toward digital payments, and structural modifications to cooperatives. The present agriculture and allied industries scenario, which mainly depends on cash transactions, experienced significant disruptions in labor payments, input procurement, and livestock sales etc [2]. The report also assesses government actions, such as initiatives to promote digital payments, sector-specific relief programs, and financial inclusion The policy recommends the need for more efforts to raise digital literacy in rural communities, improved rural banking infrastructure in order to improve the sector's adaptability to future economic uncertainties [5,3].

E-cigarette retail outlets in Mexico: a country that bans the sale.

Restrictive e-cigarette policies have not allowed for the characterization of the sale of these tobacco products in the countries where they are implemented. This is because it is believed that there are no stores. However, the use of e-cigarettes persists in these countries. A content analysis of electronic cigarette points of sale through the internet in Mexico was conducted. Cross-sectional study. Structured searches were performed in the Google Maps search engine with the terms "electronic cigarette store" and "vape store" in combination with the name of each state of Mexico, in the period from October 2021 to February 2022. A total of 695 e-cigarette stores were located, of which 481 (69.2%) were physical stores, 207 hybrid stores (29.8%), 4 online stores (0.6%) and 3 (0.4%) vending machines. A total of 316 e-cigarette brands and 578 vape liquid brands were identified. The sales attraction strategy they used the most was free shipping of products (85.8%). Stores used WhatsApp (92.5%), Facebook (86.3%) and Instagram (74.4%) to promote their products. Only 35.1% of stores checked the age of their customers, of which, 95.9% asked if the customer was of legal age and 4.1% asked for the date of birth. In addition, 25.6% of the stores warned about nicotine addiction and 24.2% specifically about the ingredients of the liquids. E-cigarettes are widely available and marketed in a variety of retail outlets in Mexico. The high number of stores, brands of liquids, and e-cigarettes indicates non-compliance with existing regulations. E-cigarette consumption has increased globally, even in countries with restrictive regulations. However, there is limited data on the density and characteristics of vape stores in low- and middle-income countries with restrictive regulations. This study found no significant differences in e-cigarette sales between countries with permissive and restrictive regulations. Therefore, it is suggested that, in addition to establishing restrictive policies on the sale of e-cigarettes, their enforcement should also be monitored. Countries with restrictive measures should regulate Internet sales and promotion of e-cigarettes with greater emphasis.