E-commerce Operation Research Articles

Intelligent E-commerce under the Trend of Integration of Artificial Intelligence and E-commerce: A Case Study of Alibaba International Station

Abstract: China has fully entered the era of digital economy, and undoubtedly, the e-commerce industry needs to keep pace with the times and evolve into a new stage of development: integrating artificial intelligence with e-commerce. Nowadays, an abundance of new productivity tools have unveiled new opportunities for the e-commerce industry. This study focuses on Alibaba International, a premier global digital trading platform, to illustrate the applications of artificial intelligence tools in e-commerce, examine both the positive and negative impacts of these tools on e-commerce, and suggest strategies for enhancing e-commerce Operation Management. The aim is to offer enlightenments for small and medium-sized cross-border e-commerce businesses. Through this case analysis, it can be understood that intelligent e-commerce has provided many conveniences for the e-commerce industry, but also faces a series of challenges, such as AI generated false or infringing content, and increased operational management difficulties. In this situation, e-commerce companies should take strengthening the cultivation of intelligent talents as a guarantee, focusing on customer experience and valuing personalized product needs as advantages, and improving operational management efficiency through the reasonable use of favorable policies to bring profits to the enterprise.

Optimization and Innovation of the Operation Model of Mobile Social E-commerce under AI Empowerment: Taking the Female Community Platform “Little Red Book” as an Example

This article takes the female community platform “Little Red Book” as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence (AI) empowerment. Firstly, the relevant concepts were defined, and then the unique attributes of mobile community e-commerce were analyzed. As a typical representative of mobile community e-commerce, Little Red Book introduces the background and characteristics of its platform, analyzes its mobile community operation mode, and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology, to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.

Integrating the Sunnah Practice into the Operation of E-Commerce

Integrating the Sunnah Practice into the Operation of E-Commerce

Effective Application of Computer Network Security Technology in E-commerce Operation and Maintenance

As an important part of the modern economy, the security of e-commerce operation and maintenance directly affects the business continuity of enterprises and the trust of users. This paper explores the application of computer network security technology in operation and maintenance, analyzes existing technologies and actual cases, evaluates its effects, and looks forward to future development trends. The paper shows that the use of advanced network security technology can significantly improve the security and reliability of e-commerce systems.IntroductionIt has developed rapidly around the world and has become an important way for people to shop and for enterprises to operate e-commerce. However, the booming development of e-commerce also inevitably brings serious security threats, including data leakage, hacker attacks, and malware. In order to ensure the normal operation of e-commerce systems and the security of user data, the application of computer network security technology is extremely important. This paper aims to systematically explore the actual application effects of these technologies in e-commerce and provide reference for future research and practice.

Effective Application of Computer Network Security Technology in E-commerce Operation and Maintenance

As an important part of the modern economy, the security of e-commerce operation and maintenance directly affects the business continuity of enterprises and the trust of users. This paper explores the application of computer network security technology in operation and maintenance, analyzes existing technologies and actual cases, evaluates its effects, and looks forward to future development trends. The paper shows that the use of advanced network security technology can significantly improve the security and reliability of e-commerce systems.IntroductionIt has developed rapidly around the world and has become an important way for people to shop and for enterprises to operate e-commerce. However, the booming development of e-commerce also inevitably brings serious security threats, including data leakage, hacker attacks, and malware. In order to ensure the normal operation of e-commerce systems and the security of user data, the application of computer network security technology is extremely important. This paper aims to systematically explore the actual application effects of these technologies in e-commerce and provide reference for future research and practice.

The Challenges and Optimization Strategies of Social Media Marketing in Cross-Border E-Commerce

This article examines the symbiotic relationship between social media platforms and cross-border e-commerce, and discuss the opportunities and obstacles in the cross-border e-commerce operation in social media platforms. It outlines the exponential growth of cross-border trade thanks to internet connectivity and technological advancements. Social media platforms are playing a crucial role in the operation of cross-border e-commerce. The study identifies key challenges faced by cross-border e-commerce firms including language barriers, intellectual property infringement risks, and the complexities of social media management. Moreover, it proposes strategic solutions for the issues and challenges on, such as cultural integration, enhanced copyright awareness, and standardized social media management. By solving these challenges, businesses can unlock new chapters for cross-border e-commerce and achieve further success. This article provides insights and several suggestions, aiming to provide strategic solutions for companies running cross-border e-commerce businesses.

Application of sensor-based speech data mining in E-commerce operations data analysis

With the rapid development of the e-commerce industry, enterprises need to effectively manage and analyze various operational data to support decision making and optimize business processes. Sensor technology is widely used in e-commerce environment, which can collect a lot of voice data and extract valuable information through data mining technology. The study presents the current background and trends of the e-commerce industry, with a focus on the importance and challenges of operational data analytics. A sensor-based voice data mining framework is proposed. Sensors are first used to collect voice data and turn it into a digital signal that can be used for analysis. Then the data mining algorithm is used to process and analyze the voice data, and a series of results about e-commerce operation are obtained. Analyze voice data to help companies develop effective marketing strategies, improve product quality, and optimize supply chain management. This study proves the role of sensor-based voice data mining in e-commerce operational data analysis. By harnessing the full potential of voice data, businesses can better understand and meet customer needs, improve competitiveness and performance. This research result has practical significance for the development of e-commerce industry, and provides guidance and reference for the research and practice in related fields.

Electronic Commerce Security and Risk Management: An Important Part of College Curriculum

With the rapid expansion of e-commerce, its security and risk management problems become increasingly prominent. In the current business environment, the ability to understand and apply e-commerce security and risk management has become an important criterion to measure a good person. Therefore, the importance of e-commerce security and risk management courses in college education is self-evident. This course can not only help students master the basic knowledge of e-commerce, but also enable them to understand how to deal with various risks in practical work and ensure the safe operation of e-commerce. At the same time, through the study of e-commerce security and risk management, students can better understand the operation mode and law of e-commerce, and lay a solid foundation for their future career. In general, e-commerce security and risk management occupy an important position in the curriculum of colleges and universities, and play a crucial role in cultivating e-commerce professionals with practical operation ability and innovative thinking.

Valuation of E-Сommerce Goods Imported Into the Customs Territory of the Eurasian Economic Union (EAEU)

The increases in cross-border electronic commerce (e-commerce) over the past decade have generated enormous opportunities for the global economy by providing new cross-border transactions, prompting development of new business models, driving new consumption trends, and creating new jobs. E-commerce has become a game changer for international trade while also giving rise to a wide range of challenges for customs regulation and methodology all over the world. The Eurasian Economic Union (EAEU) is no exception, and its members have been working on amendments to the union’s Customs Code since 2021. One of the greatest challenges is arriving at valuations. It may seem that e-commerce is merely another form of trade, but the authors maintain that we need to acknowledge the changes it brings to the trade environment and provide solutions that deal with them. Suitable valuation of e-commerce goods is a crucial element in those solutions. The authors propose separate e-commerce valuation approaches for the different business models in e-commerce: business-to-consumer (B2C) and business-to-warehouse-to-consumer (BWC). In order to respond to existing and emerging challenges in revenue collection, particularly for the large number of relatively low-value and small-scale cross-border e-commerce transactions, the authors recommend using sales value for the B2C model and customs value for the BWC model, and they offer their views on how to assign the sales value and the customs value of e-commerce goods. Although the authors’ proposals are largely reflected in Article 309 entitled “Value of e-commerce goods purchased by natural persons” of the protocol adopted in December 2023, it should be noted that this approach constitutes a fundamentally new kind of customs regulation. In it such constructions as “information on the final value” may be interpreted as establishing the price of goods solely according to the value set in the marketplace. However, such an interpretation will inevitably run the risk of conflicts between buyers of goods and e-commerce operators, on the one hand, and customs authorities, on the other.

Research on Crime of Copyright Infringement of Film and Television Series by E-Commerce Operators

Research on Crime of Copyright Infringement of Film and Television Series by E-Commerce Operators

个人电子商务经营者登记制度研究

个人电子商务经营者登记制度研究

Cargo Company Recommendation Study Based on Probabilistic Linguistic Term Set

The global economic structure is the main reason for changes in consumption habits and consumer behavior. Developing information technologies direct producers and consumers to e-commerce. Cargo services are an important link in the chain in the fast and effective operation of e-commerce. The growth in e-commerce has a driving force in the development of cargo services and cargo companies. Cargo companies can survive in global competition by being preferred by customers and increasing their number of customers. The change in the number of customers occurs by communicating the satisfaction or dissatisfaction with the cargo company to potential customers. This study deals with the preference levels of cargo companies serving in Turkey according to customer suggestions. The data obtained from the survey evaluations are processed and recommendation ranking calculations are made for cargo companies. Probabilistic Linguistic Term Sets (PLTS) are used to eliminate customer ambiguities in survey evaluations. Alternative cargo company recommendations are ranked based on the customers' past service experiences from cargo companies. Aras Cargo, MNG Cargo, PTT Cargo, Surat Cargo, UPS Cargo, Yurtiçi Cargo companies are evaluated according to price, personnel, speed, reliability and network qualities. The maximum deviation optimization method based on the Lagrangian function is used to calculate the weights of the cargo companies' attributes. The probabilistic linguistic cosine similarity method compares cargo companies pairwise under attributes and a similarity matrix is obtained for six cargo companies. The similarity matrix defines the alternative cargo company recommendation ranking based on customers' past experiences.

Research on Hema Fresh Agricultural Products E-commerce Operation Strategy

With the development of the economy, people's living standards continue to improve, and the requirements for food quality and food safety are also constantly increasing. More and more fresh agricultural products e-commerce companies have appeared on the market. Hema Fresh has achieved great success in the Shanghai area. A great success. After Hema Fresh successfully operated in Shanghai, it has been launched in Beijing, Hangzhou, Guangzhou and other cities one after another, providing convenience to consumers. However, Hema Fresh also encountered some problems during its development. This article first analyzes the problems encountered by Hema Fresh in the development process, mainly including: unstable product quality, low logistics and distribution efficiency, single platform partners, etc.; secondly, it uses SWOT analysis method to analyze Hema Fresh’s operation process The existing strengths, weaknesses, opportunities, and threats were analyzed; finally, based on the actual situation of Hema Fresh, a series of suggestions and countermeasures were put forward to improve its operational capabilities.

Apna Store and E-commerce: Meeting Consumer Needs During COVID-19

Apna Store, a family-owned ‘kirana’ neighbourhood grocery store in suburban New Delhi, India, offers a diverse selection of 15,000 products. This case revolves around its owner, Mr Jagmohan Trehan, who faces a pivotal decision due to the ongoing COVID-19 pandemic: whether to revamp the store’s product range and venture into e-commerce. The pandemic has dramatically altered consumer behaviour, with a surge in online grocery shopping. E-commerce vendors’ enticing promotions and the entry of Reliance Jio with a unique business model have presented opportunities and challenges to Mr Trehan and the kirana store industry, the backbone of India’s retail sector. In March 2020, the pandemic prompted panic buying and shifts in consumer preferences, compelling Apna Store to adapt during the lockdown. As online grocery shopping gained traction, the idea of entering e-commerce emerged, but with reservations. In April 2021, as India faced another pandemic wave, consumers became more comfortable with online grocery shopping, and e-commerce operators improved supply chains and delivery. This case centres on whether Apna Store should embrace e-commerce and the associated costs and benefits.

Feasibility study of deep learning based on data-based e-commerce operations

Abstract In this paper, we first study data-based e-commerce operation from the big data perspective and elaborate on data-based e-commerce operation from four aspects: professional terminology, operation core, theoretical operation basis, and operation method. Secondly, in the process of e-commerce data-based operation sales prediction, data pre-processing and feature selection are required, and the quality of data and features directly determines the accuracy of the model and based on deep learning, the structure of convolutional and XG fusion prediction model is proposed. Then, three-dimensional data frames are constructed based on four-dimensional data facets, which leads to more accurate model predictiveness, and the prediction model and e-commerce financial and operational risks are studied and analyzed. The results show that the convolutional and XG fusion forecasting model has a greater efficiency enhancement function than the traditional data computation model in the practical application of the forecasting model, proving the model’s stability in the long-term forecasting process. By predicting risk in e-commerce operations in time and improving it in real-time, this study can help the enterprise develop more competitively.

Innovation of fresh agricultural products e-commerce operation mode based on artificial intelligence and machine learning model

Abstract In recent years, there has been an increasing interest in emotional interaction models based on artificial intelligence technology, and researchers want to deal with real-life problems in daily life through artificial intelligence and emotional interaction technology. In this paper, based on artificial intelligence and the emotional interaction model, we analyze the model architecture of emotional interaction technology and the theory related to the e-commerce operation platform. Combining the two, we propose a collaborative filtering recommendation algorithm, define system performance indexes, and recommend fresh produce to target customers with similar users’ evaluation of fresh produce through artificial intelligence technology. Using the experiments of three different recommendation systems and user behavior data of different months in the past three years as reference, it is concluded that the e-commerce operation of fresh produce based on AI and emotional interaction model can effectively improve the browsing and transaction volume of the e-commerce platform. This shows that artificial intelligence and emotional interaction model can be applied to create a new e-commerce operation mode, which provides research directions and methods for the diversified development of future e-commerce operation modes.

Strategy of Cross border E-commerce Platform Operation Model – Case study of Tmall Global

With the rapid development of information technology and the increasingly obvious trend of economic globalization, cross-border e-commerce has developed rapidly against the background of the rapid development of e-commerce worldwide and with the support from all parties. Tmall Global under Alibaba Group is the most representative case currently. The operation model of cross-border e-commerce in China is still in the exploratory stage. This paper takes Tmall Global under Alibaba Group as an example to study the operation model and optimization strategies of cross-border e-commerce in China. Firstly, it outlines the relevant research and theories on operation models, as well as the operation models and innovative elements of cross-border e-commerce enterprises. Secondly, based on the discussion of China's cross-border e-commerce operation model and innovation, it analyzes the constituent elements of the cross-border e-commerce operation model. Then, through comparative analysis of the advantages and disadvantages of Tmall Global's and Amazon's, JD's and other typical domestic and foreign cross-border e-commerce operation models, it explores the optimized development enlightenment of cross-border e-commerce operation models. Finally, it studies the development optimization strategies of China's cross-border e-commerce operation model, and elaborates from aspects such as customs clearance efficiency, policy system, cross-border logistics and credit system.

Factors Influencing Tax Compliance Among Tiktok Users Engaged in E-Commerce Activities in Malaysia

The Covid-19 pandemic has catalysed the growth of e-commerce, including using social media platforms for business. However, the lack of a physical presence in e-commerce introduces tax issues, potentially risking tax revenue losses. This study aimed to understand tax compliance among e-commerce operators in Malaysia who use TikTok. It examined the level of tax compliance, awareness, knowledge, morale, and complexity among these operators and explored the relationship between these factors and tax compliance. Data were collected via an online questionnaire and analysed from 106 responses using SPSS. The results indicated that TikTok users demonstrated a high level of tax compliance, solid tax knowledge, and strong morale but displayed low levels of tax awareness and complexity. Tax knowledge and morale positively influenced tax compliance among TikTok e-commerce operators in Malaysia, while tax awareness and complexity did not significantly affect compliance. These findings aid in understanding the behaviour of e-commerce operators regarding tax compliance, thereby promoting tax compliance and minimising potential tax revenue losses for the government. Keywords: tax knowledge, tax morale, tax compliance, tax awareness, tax complexity

Optimization analysis of cross-border e-commerce marketing strategy based on the SCOR model

Abstract Cross-border e-commerce has developed rapidly with network globalization, convenience, and mobility characteristics, and its operation mode is highly popular in the international trade industry. This paper analyzes cross-border e-commerce marketing strategies based on the SCOR model, aiming to seek scientific and reasonable methods to improve cross-border e-commerce companies’ precision marketing speed and accuracy and gain greater advantages in the fiercely competitive environment. This paper uses the SCOR model to identify the possible risks of marketing in the cross-border e-commerce industry. The characteristics of the supply chain are studied, and the relevant risk factors are identified from a holistic perspective. By comparing the two risk assessment methods of the fuzzy integrated evaluation method and the BP wavelet neural network model, the advantages of the BP wavelet neural network model in this paper are proved, and then the method is chosen as the risk assessment method and verified by example. Furthermore, through questionnaire surveys, we obtain information about consumers’ purchasing ability, purchasing channels, and satisfaction with cross-border e-commerce operation services to clarify consumers’ psychology and provide data support for operation strategy improvement research. The results show that: the consumption ability of people aged 20 to 25 to purchase cross-border products is concentrated in the range of 400 to 1000 yuan/month; the consumption ability of people aged 26 to 40 to purchase cross-border e-commerce products is concentrated in the range of 1000 to 1500 yuan/month, and the number of people whose purchasing ability is above 1500 yuan/month reaches 2%; the consumption ability of people aged 41 to 55 to purchase products is concentrated in the range of 600 to 1000 yuan/month, followed by 1000 to 1500 yuan/month. The next is 1000-1500 yuan/month. Overall, the purchasing power of people in each age group is medium. Among them, the purchasing power of people aged 26 to 40 is the strongest. Therefore, it is necessary to develop targeted and personalized marketing programs, improve consumer stickiness, pay attention to the significance of big data for accurate marketing, and improve the overall marketing level of enterprises.

Exploring the Effects of Corpus-Based Cross-Border E-Commerce Writing Instruction for Vocational College EFL Learners

This study proposed and implemented corpus-based writing instruction via the use of a custom-made corpus learning platform for learners of cross-border e-commerce English in the context of vocational colleges. It attested the effects of the proposed DDL pedagogy versus conventional PPP teaching practice on 83 e-commerce majors at a vocational college randomly forming a control group and an experimental group respectively. The experimental group received a three-step inductive pedagogical approach enabled by a tailer-made corpus learning platform while the control group was taught by conventional PPP teaching practice. Results indicated that the experimental group outperformed the control group in writing product description which is a language skill essential to cross-border e-commerce operation. Findings of this research can be interpreted as suggestive that it’s worthwhile to apply custom-made specialized corpora and corpus-based teaching pedagogy to facilitate ESP learning for EFL learners at vocational colleges.