E-commerce
Author: Aniket Dupargude
MMS – ROLL NO. 12
Literature Review
Analysis of Computer-Based Blockchain Technology in Cross-Border E-commerce Platforms.
Zheng, Luyao et al. (2021) says that blockchain technology has the potential to revolutionize cross-border e-commerce platforms by improving efficiency, security, and trust. Several studies have explored the use of blockchain technology in cross-border e-commerce logistics, highlighting its ability to improve supply chain visibility and reduce fraud. Additionally, blockchain technology can build technology-based trust among supply chain partners, where the distributed ledger can be used to store and authenticate transactions. The use of blockchain technology in supply chain management can greatly improve supply chains by enabling faster and more cost-effective transactions. However, there are still challenges to implementing blockchain technology, including regulatory issues, interoperability, and scalability. Overall, blockchain technology has many applications beyond functioning as a virtual currency platform and can be used to manage supply chains and improve cross-border e-commerce platforms.
A Transaction Frequency Based Trust for E-Commerce.
Dong Huang, Sean Xu et al. (2023) says that A transaction frequency-based trust for e-commerce is a proposed reputation-based trust evaluation algorithm. The algorithm evaluates a user’s trustworthiness based on their transaction frequency. Other studies have explored factors that help establish trust in e-commerce, including security, privacy, and familiarity. A familiarity-based trust model has been proposed for effective selection of e-commerce websites. The first part is built on the classic Bayes analysis based trust models which are ease of computing for the E-commerce system. The second part is the transaction frequency module which can mitigate the potential insecurity caused by one participating entity gaining trust in a short time. Additionally, buyers’ trust and mistrust in e-commerce platforms have been studied, with factors such as customer concerns, disposition to trust, trusting beliefs, and accessibility of information affecting trust. Trust and distrust in e-commerce involve the buyer trusting intermediaries and the seller. Overall, trust is an important factor in e-commerce, and various models and algorithms have been proposed to evaluate and establish trust.
The Role of e-Commerce: A Systematic Literature Review.
Yudhistira, Gisya Amanda et al. (2021) says that A systematic literature review has been conducted to explore the role of e-commerce. The growth of e-commerce has impacted supply chain management, increasing the demand for just-in-time delivery and affecting logistics and inventory management. Several studies have explored the impact of e-satisfaction and e-trust on e-loyalty, with e-service quality found to have a direct and indirect effect on e-loyalty. Additionally, the effect of electronic word of mouth and brand image on online shopping behavior has been studied. Perceived risk has been found to influence e-loyalty, with e-trust mediating the relationship between e-satisfaction and e-loyalty. Overall, e-commerce has changed the way companies execute their business, including consumers’ shopping
habits, and has had a significant impact on supply chain management, customer satisfaction, and loyalty.
The development of e-commerce in China and Brazil: Features and prospects
Alexandra G. Koval Anastasia E. Vorozhun et al. (2021) says that the development of e-commerce in China and Brazil has been a topic of interest. China’s e-commerce marketplace is dominated by Alibaba and Tencent-JD.com, with mobile payments made seamless for consumers through companies like Alipay and WeChat. The increase in internet users in China has been mainly driven by mobile, with e-commerce and payments trends in China offering merchants the knowledge they need for successful transactions. A timeline of China’s e-commerce sector and the development of Alibaba, JD, and Pinduoduo has been studied. Social commerce has also been found to account for a significant portion of e-commerce sales in China. In Brazil, e-commerce has been growing rapidly, with the COVID-19 pandemic accelerating the shift to online shopping. The growth of e-commerce in Brazil has been driven by factors such as increased internet penetration, rising smartphone usage, and the expansion of logistics infrastructure. Overall, the development of e-commerce in China and Brazil has been driven by various factors, and the prospects for continued growth and innovation in these markets are promising.
Factors affecting e-commerce customer loyalty in Indonesia.
Kristanto, Felix Harris et al. (2022) says that Factors affecting e-commerce customer loyalty in Indonesia have been studied in several research papers. Customer satisfaction, trust, and loyalty have been found to be positively related, with e-trust mediating the relationship between e-satisfaction and e-loyalty. E-service quality has been found to have a direct and indirect effect on e-loyalty, through e-satisfaction and e-trust of e-commerce users. The effect of price, website design, and e-trust on e-loyalty has also been studied. Additionally, the effect of perceived security risk on e-loyalty has been explored, with e-trust found to mediate the relationship between e-satisfaction and e-loyalty. Overall, customer satisfaction, trust, and loyalty are important factors in e-commerce, and various models and algorithms have been proposed to evaluate and establish these factors in Indonesia.
Development of the theory and practice of the global e-commerce market
U.A. Tasbulatova E.E. Baimukhanbetova et al. (2023) says that The development of the theory and practice of the global e-commerce market has been studied in various research papers. Theoretical foundations of the development of global e-commerce in the processes of globalization have been analyzed, with factors affecting the development of international e-commerce in retail SMEs also studied. The development of technology has presented e-commerce as an alternative buying and selling place beside the offline shopping center. New models of commercial interaction are developing as businesses and consumers participate in the electronic marketplace and reap the resultant benefits. The global e-commerce trends report has also explored the development of e-commerce markets in various countries, with Brazil’s e-commerce market still at a relatively early stage of development. Overall, the development of the theory and practice of the global e-commerce market is an ongoing area of research, with various factors affecting its growth and evolution
Toward an Efficient and Effective Credit Scorer for Cross-Border E-Commerce Enterprises.
Luo, Xinyuan et al.(2023) says that Efficient and effective credit scoring for cross-border e-commerce enterprises has been studied in various research papers. Advanced analytics have been used to build credit-scoring models, with the implementation of such models having its challenges. The use of credit scoring by mortgage lenders has increased, and credit scoring models should be subject to an effective model governance framework that considers both traditional and innovative techniques. Additionally, e-commerce payments trends in China have been studied, with the country’s e-commerce market worth a trillion dollars and offering ongoing growth potential. Mobile payments are widely used in China, with digital wallets taking a 54 percent market share of e-commerce payments. Overall, efficient and effective credit scoring is an important factor in cross-border e-commerce, and various models and techniques have been proposed to evaluate and establish creditworthiness
Research on Intelligent Customization of Cross-Border E-Commerce Based on Deep Learning.
Guo, Chunrong et al. (2021) says that Research on intelligent customization of cross-border e-commerce based on deep learning has been studied in various research papers. Deep learning has been applied to the cross-border e-commerce intelligent information recommendation system to overcome geographical problems and improve the recommendation effect of cross-border e-commerce. Artificial intelligence (AI) tools, including machine learning (ML) and sentiment analysis based on deep learning, have also been used to analyze the performance of marketing campaigns and improve the accuracy of sentiment analysis. A bibliometric study has synthesized research on AI in e-commerce and proposed guidelines on how information systems can be improved. Overall, deep learning has been found to be a promising solution to the challenges of cross-border e-commerce, with various models and architectures proposed to improve the efficiency and effectiveness of intelligent customization.
Increasing E-Loyalty of E-Commerce Users Through E-Satisfaction and E-Trust.
Wahid, Ayi et al. (2023) says that Increasing e-loyalty of e-commerce users through e-satisfaction and e-trust has been studied in various research papers. The impact of e-satisfaction and e-trust on e-loyalty has been examined, with proposed models presenting e-loyalty as influenced by direct and indirect relationships among e-satisfaction, e-trust, and e-tail quality. The importance of customer satisfaction and trust on loyalty in e-commerce has also been identified, with the impact of e-trust and e-service quality on e-loyalty found to be significant. Overall, e-satisfaction and e-trust are important factors in e-commerce, and various models and algorithms have been proposed to evaluate and establish these factors to increase e-loyalty.
The Effect of E-commerce on People’s Buying Interest in Traditional Markets.
Nurazila Hendarsyah, Decky et al. (2023) says that The effect of e-commerce on people’s buying interest in traditional markets has been studied in various research papers. The development of international e-commerce in retail SMEs has been examined, with effectuation theory used to understand the processes by which retail SMEs develop international e-commerce in foreign markets. The impact of electronic word of mouth (e-WOM) and brand image on online shopping behavior and purchase intention has also been studied. The development of technology has presented e-commerce as an alternative buying and selling place beside the offline shopping center. Additionally, the impact of e-satisfaction and e-trust on e-loyalty has been examined. Overall, the effect of e-commerce on people’s buying interest in traditional markets is an ongoing area of research, with various factors affecting consumer behavior and purchase intention.
Conclusion:
Increasing e-loyalty of e-commerce users relies on fostering e-satisfaction and e-trust for repeat purchases and long-term commitment. E-commerce has the potential to impact people’s buying interest in traditional markets, and further research is needed to understand the specific dynamics and outcomes. Deep learning-based intelligent customization can enhance cross-border e-commerce experiences, enabling personalized services and optimized transactions. Efficient credit scoring mechanisms are crucial for secure cross-border e-commerce, mitigating risks and ensuring smooth transactions. The global e-commerce market continues to evolve, driven by technological advancements, changing consumer behaviors, and regulatory frameworks. Factors influencing e-commerce customer loyalty in Indonesia need to be studied to improve customer retention strategies. E-commerce development in China and Brazil exhibits unique features and promising prospects, reflecting the evolving digital landscape. The role of e-commerce has been explored through a systematic literature review, providing insights into its impact, challenges, and opportunities. Computer-based blockchain technology holds potential for enhancing cross-border e-commerce platforms, improving security, transparency, and efficiency.
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