Development Of E-commerce Research Articles

Cross border e-commerce development and enterprise digital technology innovation—empirical evidence from listed companies in China

As the main form of digital trade, cross-border e-commerce plays an important role, allowing China to expand its opening-up and promote the optimal foreign trade structure. It also provides opportunities for Chinese enterprises to develop digital technology. From the perspective of the establishment of China's cross-border e-commerce comprehensive pilot zone (CBECPZ), this article uses the multi-period DID method to examine the effects of cross-border e-commerce on enterprise digital technology innovation based on listed companies in the Shanghai and Shenzhen stock markets from 2007 to 2020. The CBECPZ dramatically promotes enterprise digital technology innovation. The mechanism test shows that the CBECPZ promotes digital technology innovation by financing constraint alleviation, digital transformation, and producer service industry agglomeration. The heterogeneity test shows that the direct effect is more significant in the enterprises of large-scale, non-state-owned, with high ICT correlation and in areas with strong government resource allocation capabilities. The research findings have important reference value for how to utilize cross-border e-commerce to promote digital technology innovation, and they also provide directional references for other developing countries to develop cross-border e-commerce.

The Impact of Farmers’ E-Commerce Adoption on Land Transfer: Evidence from Ten Provinces across China

Rural e-commerce is rapidly expanding in rural China, profoundly affecting the agricultural and rural development of China. This paper focuses on the impact of farmers’ e-commerce adoption on land transfer, aiming to reveal the role of farmers’ e-commerce adoption in promoting rural transformation. Based on the 2020 Comprehensive Survey of Rural Revitalization in China conducted by the Chinese Academy of Social Sciences, this study employs the method of least squares and propensity score matching to evaluate the impact of farmers’ e-commerce adoption on land-transfer behaviors in China. The results indicate that farmers’ e-commerce adoption promotes farmers’ participation in land transfer, significantly facilitating farmers’ land transfer in and increasing the area of land acquired. Additionally, farmers’ e-commerce adoption also promotes the trend of standardization and contractualization in land transfer, significantly increasing the probability of farmers signing formal agreements, clarifying lease terms, and renting land to strangers when acquiring land. This study can provide some theoretical inputs for policies to promote the development of agricultural land markets in developing countries and for policy formulation to promote e-commerce development.

Form Uncertainty to Sustainable Decision-Making: A Novel MIDAS–AM–DeepAR-Based Prediction Model for E-Commerce Industry Development

Global efforts to build sustainable e-commerce ecosystems through various prediction tools have suffered due to uncertainty in politics, the economy, and the environment. This paper proposes a new integrative prediction model to track the sustainable development of e-commerce. Using US e-commerce data, this study explores the prediction accuracy of the mixed data sampling (MIDAS) model in combination with the attention mechanism (AM) approach, analyzing the performance differences between the model’s before and after improvements. More so, the paper evaluates the performance of the new prediction approach against other competing models using the prediction accuracy metric, the probability interval test, and the Diebold and Mariann (DM) test methods. The results indicate that the introduction of the MIDAS and the AM approaches allows the prediction model to fully utilize the effective information of the mixed-frequency data while simultaneously capturing the differences in the importance of the variables in terms of their time series and the non-linear relationship of the learning variables, thereby positively influencing the economic prediction of the e-commerce industry. Second, the proposed prediction model combines the ability of long-term and short-term high-precision prediction and performs multi-step probability prediction on the development of the e-commerce industry. It can better track abnormal changes in macroeconomic indicators and fit their fluctuation trends. Third, based on the results of the three evaluation indicators, the MIDAS–AM–Deep autoregressive recurrent neural network (DeepAR) model achieves optimal prediction accuracy, allowing it to provide more timely, accurate, and comprehensive predictions for e-commerce management decisions when macroeconomic conditions are undergoing significant transformations.

Exploring the Influence Factors of Purchase Intention of College Students by Short Video Opinion Leaders in Field of the Beauty

Over the past decade, the rapid development of new media and e-commerce have triggered the emergence of online opinion leaders. Simultaneously, consumers’ purchase intention has been swayed by some opinions expressed by online opinion leaders. Therefore, this paper aims to delve into the factors influencing the consumption of college students by opinion leaders in field of the beauty. It aims to explore the influence degree of short video opinion leaders on the purchase intention of college student consumers in three dimensions, including short video production, opinion leaders’ characteristics and short video content. Employing a questionnaire for data collection and SPSS 29.0 for analysis, the study uses methods such as reliability analysis, exploratory factor analysis, and regression analysis to validate the model and research hypotheses. The results of the study show that in the dimension of opinion leaders’ short video production, the attractiveness of the title and editing format of the short videos have a significant positive impact on the purchase intention of college students. Regarding opinion leaders’ characteristics, their popularity, professionalism, and interactivity exert a substantial positive influence on college students’ purchase intentions, whereas timeliness shows no significant impact. In terms of opinion leaders short video content, comparing products with multiple brands, promoting affordable substitutes, and vivid and interesting promotion discourse of opinion leaders all have a significant positive impact on the purchase intention. Finally, this paper provides suggestions for short video opinion leaders in field of the beauty.

Legal Issues and Regulation Path of E-commerce Platform's Improper Use of Consumer Personal Information

The increasing development of Internet information technology has brought great space and opportunities for the development of e-commerce. The integration between e-commerce platforms such as Tianmao, Jingdong and Taobao and people's daily consumption life is increasing day by day, only up to 2023.The number of people using the Internet for shopping and consumption reached 1.079 billion. Using the Internet to obtain goods or services has become a part of people's daily life. The vigorous development of e-commerce industry, on the one hand, facilitates people's shopping life, on the other hand, also brings many problems. Among them, the legal protection of consumer personal information is particularly prominent. This paper discusses the particularity of personal information of consumers on the platform and the improper use of personal information of consumers on the platform from five parts. The current situation and existing problems of the legal protection of consumer personal information on the platform, and the necessity of the current protection of consumer personal information are discussed. On this basis, it puts forward suggestions for improving the legal protection of consumer personal information on e-commerce platforms in China.

A Markov Chain approach for video-based virtual try-on with denoising diffusion generative adversarial network

Video-based virtual try-ons have attracted unprecedented attention owing to the development of e-commerce. However, this problem is very challenging because of the arbitrary poses of persons and the demand for temporary consistency of frames, particularly when attempting to synthesize high-quality virtual try-on videos using single images. Specifically, there are two key challenges. 1) The existing video-based virtual try-on methods are based on generative adversarial networks (GAN), which are limited by unstable training and a lack of realism in generated details. 2) The explicit building of stronger constraints of generated frames, which aims to increase the coherence of generated videos. To address these challenges, this study proposed a novel framework, Extended Markov Chain Based Denoising Diffusion Generative Adversarial Network (EMC-DDGAN), which was derived from a denoising diffusion GAN, which is a diffusion model with efficient sampling. Moreover, we proposed an extended Markov chain that used a diffusion model to synthesize frames via sequential generation. With a carefully designed network and learning objects, the proposed approach achieved outstanding performance on public datasets. Rigorous experiments demonstrated that EMC-DDGAN could synthesize higher-quality videos compared to other state-of-the-art methods and validated the effectiveness of the proposed approach.

Analisis Pengukuran Kepuasan Konsumen dengan Pendekatan Customer Satisfaction Indeks Pada E-Commerce di Jakarta

The development of e-commerce is currently increasingly rapid, marked by the increasing number of internet users in Indonesia. Customer satisfaction and trust are the most dominant problems in every business unit operating in the service sector, but the process of achieving customer satisfaction is not easy. Because many other factors can influence the achievement of this level of customer satisfaction. Through this research, the author aims to determine the level of customer satisfaction, namely by using the Customer Satisfaction Index method. Based on the research results, it is known that female consumers, consumers aged 23-28 years, and private employees are the dominant respondents. The level of consumer satisfaction with e-commerce based on CSI is 97.12%.

Delivering Goods Sustainably: A Fuzzy Nonlinear Multi-Objective Programming Approach for E-Commerce Logistics in Taiwan

With the booming development of e-commerce, the importance of controlling carbon emissions has become increasingly prominent in Taiwan. This study explores the trade-offs among time, cost, quality, and carbon emissions (TCQCE) in e-commerce logistics. Will carbon emissions mitigation lead to decreased logistics efficiency and increased costs? This article differs from other studies that use precise numbers and linear model situations. This study adopts fuzzy theory, nonlinear methods, and multi-objective programming models closer to the actual situation to study the decision-making between delayed logistics delivery times and reduced carbon emissions. This article also uses Project D as a case to enhance readers’ understanding of decision-making methods in real-life e-commerce logistics cases. The results show that extended delivery times could significantly reduce carbon emissions, ranging from 5259.31 to 419,199.60 tons, and reduce delivery quality under the 90.00% threshold and even under 75.25%. Extending delivery times is a viable business strategy, particularly by extending delivery to push carbon reduction policies to minimize environmental impact. However, consumer acceptance is crucial, as consumers willing to embrace longer wait times can significantly contribute to emission mitigation and support businesses committed to sustainability. This research uses a fuzzy nonlinear multi-objective programming model (FNMOPM) to contribute novel time management to mitigate carbon emissions. Moreover, this study uses a fuzzy and nonlinear approach to fill in the gaps of previous research to balance the efficiency and carbon emission mitigation goals of ESG (environmental, social, and governance) principles. The framework presented in this article solves the complex trade-off situations in the TCQCE issues. This article provides practical, actionable guidance for decision-making regarding sustainable e-commerce logistics, instilling confidence in its implementation.

The Research on Online Marketing Strategy and Holiday Promotions of LOral Groups Consumer Products Division (CPD)

The purpose of this research is to determine the effects of online marketing and holiday promotions on the future development of LOral Groups Consumer Products Division (CPD). Due to the impact of the epidemic, LOral Group's sales in the Chinese market are lower than sales in other regions. Furthermore, there are more and more local brands emerging in the Chinese beauty market. Therefore, LOral Group is facing specific competitive pressure in the Chinese market. LOral Group must develop new marketing strategies according to the characteristics of the Chinese market. This paper includes two kinds of research methods: the literature research and the survey design. This paper investigates and analyzes the current situation of LOral Groups Consumer Products Division (CPD) by using these two methods. Due to the rapid development of e-commerce in China, this article will focus on the online marketing strategy and holiday promotions of LOral Group's Consumer Products Division (CPD).

Penggunaan E-Commerce oleh Rumah BUMN Kepulauan Meranti Sebagai Sociopreneur terhadap Optimalisasi Pemanfaatan Potensi Sagu

This research aims to reveal the use of e-commerce by the Rumah BUMN Kepulauan Meranti as a sociopreneur in optimizing the utilization of sago potential. The research method used is a descriptive qualitative approach through interviews, observation, and document analysis. The research results show that social networks play an important role in helping Rumah BUMN Kepulauan Meranti to expand market reach, increase awareness of sago products, and strengthen branding as a Sociopreneur. With good cooperation with various parties, Rumah BUMN Kepulauan Meranti can optimally utilize the potential of sago so that it has a positive impact on the local community and the surrounding environment. This research provides an important contribution to understanding the importance of the role of social networks in supporting the development of E-Commerce to increase the sustainable use of sago potential.

Trends and prospects for the development of e-commerce in the Republic of Kazakhstan

In recent years e-commerce has begun to play a significant role in the development of a market economy. Every year, its influence grows, changing the surrounding market infrastructure and people's attitude to the new conditions of digital commerce. The purpose of the article is to determine the features and prospects of the development of e-commerce in the Republic of Kazakhstan. The domestic online sales market is considered as an object of research. The paper analyzes the current state of the e-commerce market, identifies the main trends and prospects for its development. The dynamics of the development of e-commerce in the period from 2016-2022 is presented, the main factors that have a positive impact on the growth of e-commerce, such as a high level of digitalization, the development of new digital technologies in the market of non-cash payments and others are considered. The factors that have a negative impact on the domestic online sales market have been identified: underdevelopment of the logistics infrastructure, rising inflation, an insufficiently effective mechanism for regulating online commerce and consumer protection. To assess consumer behavior in regions with a less developed e-commerce market, a survey was conducted among residents of the Abai region, which allowed to determine the prospects for the development of this market. Measures have been proposed to develop the logistics infrastructure and introduce innovative delivery methods that will contribute to the growth of the industry. The results of the work can be used in the development and implementation of programs in the field of stimulating the development of the e-commerce market and improving its infrastructure.

Evaluating The Pertamina’s Waste Bank Program Using Social Return on Investment in Koja District, North Jakarta

The findings of this study are expected to serve as an objective benchmark for determining the level of social acceptance of PT Pertamina Lubricants Production Unit Jakarta (PUJ). Moreover, this study report presents the results of calculating the impact value and SROI of the program. This program aims to improve the welfare of society and the environment in Tugu Selatan Village, Koja District, North Jakarta, through the Berkah Waste Bank program. Based on the results of the SROI study, the Berkah Waste Bank program has proven to produce more significant benefits than the costs invested in activities such as planning for the development of the Berkah Waste Bank, environmental awareness training, distribution of assistance for facilities and infrastructure, mentoring and monitoring & evaluation (Monev) of the Waste Bank socialization program, management of drum and Non-B3 waste, training and development of social media and E-Commerce, initiation of waste programs oil change, garbage pick-up service, renovation of the Garbage Bank Shelter, inauguration of the Oil Exchange Garbage Workshop, program to strengthen marketing and administration of the Garbage Bank. These programs have proven to help increase communities’ capacity to manage inorganic and organic waste from industrial and household waste. Through a series of activities such as training, mentorship, and assistance, these programs aim to increase community awareness and participation in waste management and empower them by improving skills to support the local economy.

Three-scenario forecast of retail e-commerce market volume changes in Kazakhstan until 2026

The new stage of global development is characterized by the movement of data across national borders, which is changing the nature and patterns of commerce. Despite the existence of e-commerce for many years, the current scale of these transactions is not commensurate with the previous ones. In addition, the emergence of marketplaces has fundamentally changed the rules of the game, causing a transformation of commerce processes. The purpose of the research is to compile a forecast model of changes in the volume of Kazakhstan's retail e-commerce market in the optimistic, pessimistic and baseline scenarios. Forecast models were formed as a result of correlation and multiple regression analysis. Scenario forecasts were built taking into account changes in the volume of retail trade in the country based on current conditions of the economy functioning. The results of the study allowed to identify factors that positively and negatively affect the development of the retail e-commerce market in Kazakhstan. The first group includes the growth of the total volume of retail trade, the share of Internet users aged 16–74, the share of non-cash payments in the total structure of payments, and the second group includes the growth of cash payments. The scientific significance of the obtained results lies in the justification of the influence of a set of factors on the change in the volume of the retail e-commerce market. The obtained results can be used by authorized bodies to regulate the market under study by influencing individual factors of e-commerce development.

E-Commerce and Its Contributions to China's Economic Development: Basis for Strategic Plan

This study examined the practical role of Chinese e-commerce enterprises in promoting economic development and proposes a comprehensive strategic plan. Descriptive quantitative research methods were used to collect data from 5 e-commerce enterprises. This study revealed the diversity of e-commerce enterprises in terms of business scope, transaction models, operating years, number of employees, and asset size. Most enterprises believe that the e-commerce industry has played a positive role in the development of the economy, and have reached a strong consensus on the current status of e-commerce development, its contribution to the economy, challenges and risks faced. They have identified comprehensive methods to address the risks and ensure security of e-commerce enterprises, and to strengthen various challenges in the construction of e-commerce infrastructure. In order to address these challenges, e-commerce enterprises should seek support from e-commerce associations and relevant government departments, coordinate resources to adjust their economic structure, provide more development opportunities for e-commerce enterprises, strengthen their comprehensive capabilities, increase investment and construction in network information technology, provide a stable and high-speed network environment, ensure the safety of online shopping, and improve consumers' shopping experience; Strengthen the construction of network information facilities, improve relevant software and hardware supporting facilities, strengthen basic research, intellectual property protection and other related work, and protect the innovation ability of enterprises; Strengthen the infrastructure construction of intelligent warehousing and distribution in logistics, improve logistics level, and serve the development of new industrial economy. Implementing these strategic plans can effectively address the risks and security issues faced by the e-commerce industry, and establish an effective and feasible e-commerce strategic development plan to continue contributing to the sustainable development of the Chinese economy.

Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks

The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacles. Data mining assists individuals in effectively addressing these difficulties. Traditional data mining cannot efficiently use big data in the power provider industry. It heavily relies on time-consuming and labor-intensive feature engineering, and the resulting model could be more easily scalable. Convolutional Neural Networks (CNN) can efficiently use vast amounts of data and autonomously extract valuable elements from the original input, resulting in increased effectiveness. This article utilizes a CNN to extract valuable insights from e-commerce information to forecast commodities sales accurately and proposes a CNN-based Sales Forecasting Model (CNN-SFM). The findings indicate that using data mining and CNN yields a high level of precision in forecasting forthcoming people buying capacity data. The correlation variable between actual usage information and projected usage information was 0.98, and the highest mean error was just 1.78%. Data mining can effectively extract hidden relevant information and forecast future consumption habits for e-commerce systems. CNN demonstrates proficiency in accurately predicting forthcoming consumption power and trends.

Innovative Marketing Strategies Analysis of Alibaba

In the context of a globalized economy, the rapid development of cross-border e-commerce offers businesses unprecedented opportunities for market expansion. However, this expansion process requires enterprises to effectively promote their products and services to attract international buyers and build enough trust to ensure the security and reliability of transactions. As one of the world's largest B2B e-commerce platforms, Alibaba has successfully addressed these challenges through its unique business model and strategy, facilitating global trade. Through a case study, this paper examines the implementation details of Alibaba International's innovation and promotion activities, including search engine optimization, customized services, ecosystem building, implementation of a digital showroom, and the safeguards it implemented to build trust between buyers and sellers. It explains how Alibaba has made itself the world's largest B2B cross-border e-commerce platform and contributed to the digital transformation of global trade.

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.

Analysis of Demand and Prevalence of Marketplaces in the Far East

The development of e-commerce, as well as increase in the number of online buyers contribute to the growing attention of the Far Eastern business community to marketplaces. In the article the authors provide an analysis of the demand and prevalence of marketplaces based on a survey of 500 respondents in Khabarovsky Krai. The factors determining the development of marketplaces have been identified, an assessment of the prospects for using marketplaces as an electronic platform for the sale and purchase of goods by residents of Khabarovsky Krai has been given. In the scientific work, the following hypotheses have been put forward: 1. The frequency of online purchases depends on the consumer's income level; 2. Purchasing behavior and preference for the type of shopping depends on the consumer’s age.

ASSESSMENT OF THE EFFICIENCY OF MARKETING BUDGETS ON THE B2C E-COMMERCE MARKET

Introduction. In the conditions of the rapid development of e-commerce in the B2C market, it is important to ensure the effective use of marketing budgets to achieve competitive advantages. Evaluating the effectiveness of marketing spend allows businesses to optimize resources, increase return on investment, and reach a larger target audience. This requires the formation of methodological approaches for evaluating and improving the effectiveness of marketing budgets in this area. The purpose of the article. The purpose of the study is to study approaches to evaluating the effectiveness of marketing budgets in the B2C e-commerce market in order to determine the principles of increasing the effectiveness of their use. Methods. The research methodology includes a comprehensive approach combining quantitative and qualitative methods of analysis. In particular, for the in-depth study of specific examples of successful marketing strategies, such methods as economic modeling, the method of analysis and synthesis, and comparison were used. Results. The article examines approaches to evaluating the effectiveness of marketing costs in the B2C e-commerce sector, focusing on different channels, strategies and the corresponding profitability of marketing costs. The current market trends of the functioning of e-commerce platforms were analyzed and the main factors affecting the effectiveness of the use of marketing budgets of business entities were identified. The trends of the global growth of digital commerce volumes in the context of B2C sales and its functional specificity are clarified. It was determined that personalization, segmentation of customers and integration of multi-channel strategies significantly increase the efficiency of using marketing budgets. The principles of optimization of marketing costs based on the implementation of automated systems for data analysis and forecasting of consumer behavior were studied. The influence of the latest technologies, such as artificial intelligence and machine learning, on the effectiveness of using marketing budgets is considered. Conclusions. It has been proven that a reliable assessment of the effectiveness of marketing budgets in the B2C market determines a number of key aspects that ensure the maximum return on marketing investments of a business entity. At the same time, the concept of effectiveness of marketing budgets consists in a targeted approach implemented on the basis of personalization, segmentation and multi-channel integration.