E-commerce Enterprises Research Articles

Analysis and Application Research of E-Commerce Financial Management Based on T-DPC Optimization Algorithm

Given the intricate, multifaceted nature of financial data in e-commerce enterprises, this article presents a T-DPC algorithm for analyzing financial management in these businesses. The algorithm utilizes the t-SNE method to reduce the dimensionality of financial data, whilst also implementing an enhanced DPC algorithm based on the K-nearest neighbor concept to analyze financial data clusters. The results show that the F-measure metrics of the DPC algorithm optimized by t-SNE improve 16.7% and 3.07% over the DPC algorithm after testing on the PID and Wine datasets, and its running time is faster than the DPC algorithm on the Aggregation, D31, and R15 datasets by 16.2. Therefore, the algorithm has reference significance for the financial analysis of e-commerce enterprises.

FEATURES OF COLOR SOLUTIONS OF UKRAINIAN ONLINE STORES` LOGOS

Purpose. To select, analyze, and systematize the logos of Ukrainian online stores of various product categories to identify the characteristic features of their color solutions.
 Methodology. The methodological basis of the study is a comprehensive approach, methods of analytical and visual-analytical analysis of research objects, and systematization of information on the varieties of color solutions of logos of well-known Ukrainian online stores of 24 product categories. The selection of e-commerce enterprises has been carried out using search engine ratings.
 Results. An analysis of scientific and practical literature on the specified topic has been conducted. And the information on the psychological and associative influence of colors on consumers has been systematized. Therefore, based on the analysis of color solutions of 720 logos of Ukrainian online stores, their typical variants in different product categories have been selected and described. Also, a clear relationship between the color solution of the online store logo and the category of goods sold has been revealed. Typical color solutions of one-color logos, as well as schemes of color combinations in two-color, three-color, and multi-color logos of linguistic and mixed types of online stores of various product categories, are defined and described. The logos of online stores of certain product categories with similar color schemes were selected and combined into groups.
 Scientific novelty. Information on color solutions of online store logos is systematized. Typical colors and color combinations for logos of e-commerce brands of various product categories are identified. The principles of color combinations in logos of online stores of various product categories are determined.
 Practical significance. It is advisable to use the obtained results both in the development of logos of new e-commerce enterprises and in the redesign of existing ones. The results of the research can be used in further scientific research on the design of corporate style of sites for e-commerce enterprises.

Adoption Of E-Commerce In Small And Medium-Sized Enterprises In Bogor District

In recent years, e-commerce has emerged as one of the most rapidly expanding commercial trends. This trend is propelled by the growing prevalence of internet access and the widespread adoption of smartphones in society. Small and medium-sized enterprises (SMEs) play a significant role in the Indonesian economy. The transformation of SMEs must continue to be strengthened through optimizing the use of digital technology so that it can attract benefits for marketing activities and product sales. digital marketing is the most chosen area to start. The challenge is that as many as 30.9% of SMEs still experience difficulties in digital adoption. The objective of this study is to examine the determinants that impact the implementation of electronic commerce by small and medium-sized enterprises in Bogor Regency. This study used an online survey methodology, with a sample size of 170 small and medium-sized enterprises (SMEs) located in Bogor Regency. Data processing was conducted utilizing spreadsheet apps and SmartPLS. The findings indicated that perceived utility, external influences, and attitude towards adopting e-commerce are influential and statistically significant factors in promoting e-commerce adoption. Regarding the perceived ease of use, the attitude towards adopting e-commerce is not influenced by technical readiness and organizational readiness. This research has several implications for small and medium-sized enterprises (SMEs), government entities, and e-commerce administrators. This research demonstrates the imperative for SMEs to enhance their knowledge and skills in utilizing e-commerce, while also enhancing their organizational governance and receptiveness to change, particularly at the top management level. The government requires consistency in offering support to small and medium enterprises (SMEs) in their use of e-commerce, including training, financial aid, and innovation.

Research on Transformation of the Branding Strategies of the International E-Commerce Enterprises in the Digital Economy

This article focuses on the branding transformation of cross-border e-commerce enterprises in the context of the digital economy and analyzes in depth the difficulties faced by cross-border e-commerce enterprises in branding transformation, including insufficient brand awareness, incomplete credit system, lack of competitiveness of products, and lagging cross-border logistics supporting facilities. On this basis, practical and feasible measures were proposed, including building a global brand promotion system, building a cross-border e-commerce credit public service platform, strengthening product research and innovation, and optimizing the cross-border logistics system.

Retracted: E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data

Retracted: E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data

Digital Intelligence Analysis for the "First Mile" of Agricultural Product E-commerce Supply Chain

At present, with the continuous development of Internet technology, the development trend of "Internet plus agriculture" is increasingly obvious. With the increasing attention of the academic community to rural e-commerce, the supply chain management of agricultural product e-commerce has become one of the key research topics today. However, there is still a research gap on how to achieve efficient and precise integration of the "first mile" of agricultural product e-commerce supply chain, lacking a unified understanding and solution. Therefore, this article focuses on the digital intelligent countermeasures for the e-commerce supply chain of agricultural products in the "first mile". Firstly, analyze the current development status of agricultural product e-commerce and the specific reasons that affect the precise integration of smallholders and e-commerce enterprises, and then conduct strategic research to provide digital solutions for achieving the "first mile" e-commerce supply chain of agricultural products. The research results of this paper can provide decision-making guidance for the digital and intelligent development of agricultural product e-commerce supply chain, and promote the continuous development of "Internet plus agriculture".

The Differences between Alibaba's Domestic and Overseas Operations

Alibaba, the largest e-commerce enterprise in China, has a significant global influence beyond its domestic operations. The company's efficiency is mainly attributed to its extensive technology and logistics infrastructure which facilitates the association of a multitude of suppliers and clients. Alibaba's globalization strategy promotes the world economy and enhances global trade through efficient business tools. The company's domestic and international operations differ for several reasons, such as market conditions, consumer behavior, industry competitiveness, cultural disparities, and legal constraints. Alibaba possesses a strong business model and significant experience within the local market; nevertheless, it requires adjusting its tactics and business models to address the diverse obstacles and opportunities present in the international market. The differences between Alibaba's domestic and overseas operations arise due to varying market environments, cultural disparities, industry competition, legal constraints, and diverse consumer behaviors. However, it encounters intense rivalry from domestic firms and a challenging business environment in foreign markets, particularly in the West. In light of these challenges, it is imperative to innovate and adapt the business model while comprehending and accommodating the local norms and regulations, and to tailor fitting strategies and business models to cater to varying consumer demands.

The Role of E-commerce for MSMEs as a Digital Marketing Strategy in Facing Industrial Revolution 4.0

In the era of industrial revolution 4.0, the role of E-commerce for Micro, Small and Medium Enterprises (MSMEs) is becoming increasingly important as a digital marketing strategy. This research aims to investigate the impact of E-commerce adoption by MSMEs in facing changes in global business dynamics. Through the Systematic Literature Review method, we analyzed relevant academic literature to understand the level of adoption, benefits, digital marketing strategies, and the impact of the industrial revolution 4.0 on MSMEs that adopt E-commerce. The research results show that MSMEs that adopt E-commerce experience increased competitiveness through market expansion, increased operational efficiency, and direct interaction with consumers. Digital marketing strategies, such as the use of social media and online advertising, dominate MSME efforts to increase visibility. The role of E-commerce has also proven vital in helping MSMEs adapt to the industrial revolution 4.0. The conclusions of this research highlight the complexity of the challenges and opportunities facing MSMEs, including technological barriers and the need for digital skills development. Policy implications include government support, digital skills development, facilitation of collaboration between MSMEs, and industry 4.0 awareness campaigns. This research provides in-depth insight into the crucial role of E-commerce for MSMEs in facing the industrial revolution 4.0, with the hope of providing guidance for practitioners, researchers and policies to support the growth and sustainability of MSMEs in this digital era.

Enhanced group decision-making through an intelligent algorithmic approach for multiple-attribute credit evaluation with 2-tuple linguistic neutrosophic sets

With the development of the internet economy, e-commerce has rapidly risen, and a large number of small and micro e-commerce enterprises have emerged. However, these enterprises have low financial information transparency, small scale, and high development uncertainty. Therefore, combining the characteristics of the internet economy, it is of great significance to dynamically evaluate credit risk. This not only helps to enhance the quality and rationality of credit risk evaluation results, but also helps to improve financing efficiency and reduce financing risks. The credit evaluation for small and micro enterprises is a multiple-attribute group decision-making (MAGDM). Recently, the TODIM (an acronym in Portuguese of interactive and multicriteria decision making) and TOPSIS method has been inaugurated to cope with MAGDM issues. The 2-tuple linguistic neutrosophic sets (2TLNSs) are inaugurated as an effective tool for characterizing uncertain information during the credit evaluation for small and micro enterprises. In this paper, the 2-tuple linguistic neutrosophic TODIM-TOPSIS (2TLNN-TODIM-TOPSIS) method is inaugurated to solve the MAGDM under 2TLNSs. Finally, a numerical case study for credit evaluation for small and micro enterprises is inaugurated to confirm the proposed method. The prime contribution of this paper are outlined: (1) The information entropy based on score function and accuracy function are built on the 2TLNSs to obtain weight information; (2) an integrated the 2-tuple linguistic neutrosophic TODIM-TOPSIS (2TLNN-TODIM-TOPSIS) method is established to cope with MAGDM; (3) An illustrative example for credit evaluation for small and micro enterprises has accomplished to illustrate the 2TLNN-TODIM-TOPSIS; (4) some comparative analysis are employed to verify the 2TLNN-TODIM-TOPSIS method.

New Retail Research of Korean Fresh Products in the Post-COVID Era- - Take Coupang Rocket Delivery as an Example

Premised on the growth of e-commerce industry and increased consumer income leve ls in South Korea, the consumer preferences has a significant change.This transformation is marked by a transition from mere price preferences to a focus on product quality. Consumers are no longer content with merely seeking affordability; instead, they now demand superior product quality and efficient logistics. Leveraging a robust infrastructure and a well-developed logistics network, South Korea has pioneered a novel retail model that blends online and offline elements, prominently exemplified by the Coupang Rocket Delivery system. With individuals seeking isolation and risk reduction during the COVID-19 pandemic , the model of Rocket Delivery has fostered exceptional growth. In this new paradigm, Coupang emerges as the quintessential representative of South Korea's network-driven retail enterprises, adapting swiftly to the evolving circumstances. The post-pandemic scenario forecasts even deeper convergence of online and offline operations for e-commerce enterprises. To navigate the challenges of this new retail era, an adept utilization of modern logistics, artificial intelligence, and other advanced technologies is imperative.

Optimizing E-Commerce For Micro Small Medium Enterprises

Technological advances to support the excellence of a company need to be carried out with policies that focus on marketing methods in the company, one of which is through e-commerce. In connection with that, business people in companies tend to want effective and efficient marketing as a means of information in transactions. MSMEs (Micro, Small and Medium Enterprises) are new in commercial activities or activities. These MSMEs are engaged in a trade where, in this case, it involves entrepreneurial activities or activities. Conventional business activities, which in recent years have become the spearhead of driving the country's economic growth, must immediately transform into a technology and information-based business mode or what is commonly called Online Business. Online business is a system or business activity that relies on the Internet as a marketing medium. Online sales or Online Business have many advantages over conventional sales. Therefore, it is necessary to have knowledge, understanding and skills in managing a business online. Observing the problems mentioned above, training is needed for MSMEs to understand how to run a business online, as well as skills in managing their business online by utilizing various social media and e-commerce features available.

Personalized Advertising in E-Commerce: Using Clickstream Data to Target High-Value Customers

The growing popularity of e-commerce has prompted researchers to take a greater interest in deeper understanding online shopping behavior, consumer interest patterns, and the effectiveness of advertising campaigns. This paper presents a fresh approach for targeting high-value e-shop clients by utilizing clickstream data. We propose the new algorithm to measure customer engagement and recognizing high-value customers. Clickstream data is employed in the algorithm to compute a Customer Merit (CM) index that measures the customer’s level of engagement and anticipates their purchase intent. The CM index is evaluated dynamically by the algorithm, examining the customer’s activity level, efficiency in selecting items, and time spent in browsing. It combines tracking customers browsing and purchasing behaviors with other relevant factors: time spent on the website and frequency of visits to e-shops. This strategy proves highly beneficial for e-commerce enterprises, enabling them to pinpoint potential buyers and design targeted advertising campaigns exclusively for high-value customers of e-shops. It allows not only boosts e-shop sales but also minimizes advertising expenses effectively. The proposed method was tested on actual clickstream data from two e-commerce websites and showed that the personalized advertising campaign outperformed the non-personalized campaign in terms of click-through and conversion rate. In general, the findings suggest, that personalized advertising scenarios can be a useful tool for boosting e-commerce sales and reduce advertising cost. By utilizing clickstream data and adopting a targeted approach, e-commerce businesses can attract and retain high-value customers, leading to higher revenue and profitability.

Research on Sentiment Analysis of E-commerce Live Comments based on Text Mining

With the rapid rise of live e-commerce in the field of e-commerce, the rich emotional information generated by users in live comments has become an important research object. This study takes e-commerce live comments as samples, uses text mining technology combined with machine learning methods, builds sentiment dictionary, trains sentiment analysis model and uses SnowNLP library for sentiment analysis, and deeply digs users' emotional tendency towards goods, services and shopping experience. For negative comments, word cloud is generated through word segmentation and word frequency calculation to visually show users' dissatisfaction and provide substantial support for updating the emotional dictionary. Through this comprehensive analysis, it provides a deeper user insight for e-commerce enterprises, and provides strong support for operational decisions and service optimization. Future research can focus on the application of deep learning techniques in sentiment analysis to further improve model accuracy and adaptability.

The Impact of Big Data Analytics Capabilities on the Diversification of E-Commerce Firms

Abstract With the arrival of the big data era, e-commerce enterprises are facing more and more competition and market changes. A fuzzy clustering model is created by combining fuzzy set theory and fuzzy logic with a clustering algorithm in this paper. Then, for the shortcomings of the fuzzy C-mean clustering algorithm, the genetic simulated annealing algorithm is used to weight the data points, the fuzzy C-mean clustering model is improved, and a fuzzy clustering algorithm based on the genetic simulated annealing optimization is proposed. By using this algorithm, e-commerce enterprises’ diversification is being analyzed. The results show that the mean and standard deviation of each supply chain inventory, production orders, supplier ordering, and platform ordering quantity after optimization are reduced to different degrees, some of which reach more than 60%. Stabilizing the development of e-commerce enterprises can be achieved by reducing supply chain inventory and order quantity. E-commerce enterprises that excel in their enterprise production quality (0.741), credibility (0.748), and product sales competitiveness (0.726) are more competitive. E-commerce enterprises can utilize the ability of big data analysis to achieve diversification.

Construction and validation of a financial risk prediction model for e-commerce enterprises oriented to financial sharing

Abstract Relying on advanced technology, the financial shared management model realizes a breakthrough for the enhancement of enterprise financial management capability, and provides effective support for enterprise decision makers while mining financial risks. In this paper, the support vector machine algorithm (SVM) is used to construct a financial risk prediction model for e-commerce enterprises, and the radial basis kernel function (RBF) is selected among various kernel functions to enhance the discriminative ability of SVM. At the same time, the particle swarm algorithm (PSO) is introduced to optimize parameter γ and penalty factor C of the RBF kernel function, and the PSO-SVM fusion model is constructed, so as to improve the prediction accuracy of the e-commerce enterprise financial risk prediction model. After the experimental analysis of this paper on the various capabilities of enterprise financial management, it is found that the operating cash flow ratio of the e-commerce enterprise is less than 40% in 2017-2021, and reaches a minimum of 3% in 2020, which indicates that the Z e-commerce enterprise has insufficient ability to raise debt to operate, which may cause problems such as a decrease in the rate of return on assets. In addition, the cash flow of the e-commerce enterprise is highly variable, and the cash outflow from operating activities is significantly higher than the cash inflow in 2020, resulting in a negative net inflow of −111,451,575,000 yuan. It indicates that the Z e-commerce enterprise has a low degree of control over cash flow, and there is a financial risk of a sudden break in the capital chain. Therefore, the risk prediction model constructed in this paper can uncover potential hidden financial dangers and risks by analyzing the financial data of e-commerce enterprises.

Empirical study on the relationship between corporate social responsibility, corporate reputation and performance of e-commerce enterprises in Vietnam

The article studies the relationship between corporate social responsibility (CSR), corporate reputation and performance of e-commerce enterprises. Testing on a sample of 212 Vietnamese e-commerce enterprises by SEM method, the research findings show a clear positive impact of corporate reputation on firm performance. Regarding CSR, CSR for customers has a direct impact on reputation, and a partial mediation impact through reputation on firm performance. While CSR for employees only has a full mediation impact through reputation on firm performance; CSR for the community has insignificant relationship with firm performance of Vietnamese e-commerce enterprises. Also, CSR for employees and community has no impact on the corporate reputation Vietnamese of e-commerce enterprises.

СТАН НАУКОВОЇ ДУМКИ ЩОДО СПЕЦИФІКИ ЦИФРОВОГО МАРКЕТИНГУ В ДІЯЛЬНОСТІ ПІДПРИЄМСТВ ЕЛЕКТРОННОЇ КОМЕРЦІЇ

The aim of this article is to provide a comprehensive review of the development of scientific thought regarding the specific use of digital marketing tools in the activities of e-commerce enterprises. This includes an analysis of how various digital marketing tools, such as SEO, social media marketing, remarketing, video marketing, and others, impact customer acquisition, activation, retention, referral, and revenue generation in e-commerce businesses. The article examines the theoretical and practical aspects of these tools, their effectiveness, and their influence on business growth. Particular attention is given to the analysis of recent research and trends in this field, as well as recommendations for the optimal use of digital marketing strategies to achieve maximum results. By examining the evolution of these tools and their application, the article seeks to provide a thorough understanding of how digital marketing tools can be integrated into the e-commerce business model to ensure sustainable growth and competitive advantage in the market. This includes the utilization of frameworks such as AARRR (Acquisition, Activation, Retention, Referral, Revenue), which help in systematically managing various stages of user interaction and improving marketing strategies. The review focuses on the multifaceted nature of digital marketing, exploring how different tools can be employed at various stages of the customer journey. For instance, SEO and social media marketing are essential for attracting new users, while remarketing and email marketing play a crucial role in re-engaging existing customers. Video marketing and influencer marketing, on the other hand, help in building brand awareness and fostering customer loyalty. Moreover, the article delves into the synergistic effects of combining multiple digital marketing tools to enhance overall marketing efficacy. It discusses the importance of integrating data analytics and customer relationship management (CRM) systems to track and analyze user behavior, thus enabling more personalized and targeted marketing efforts. Through this detailed review, the article aims to shed light on the critical importance of digital marketing in the modern e-commerce landscape. It emphasizes the need for businesses to stay abreast of the latest developments and continuously adapt their marketing strategies to remain competitive. By leveraging the insights and recommendations provided, e-commerce enterprises can better navigate the complexities of digital marketing and achieve sustained growth and success.

Research on the Model Construction and Analysis of the Enterprise E-commerce Service Capability

Abstract The customer-oriented and situational nature of e-commerce requires companies to build up service capabilities. However, few scholars have studied this capability systematically. Most scholars see it as a ‘black box’ and give different 'black box' elements depending on the purpose of the study. So, in the context of e-commerce, what should a company's service capabilities include? How are they formed? What impact do they have on a firm's competitive advantage? How can service capabilities be established and improved? Based on the above background and questions, this paper investigates the service capabilities of e-commerce platforms by applying customer value theory in conjunction with the background characteristics of e-commerce transactions. Through case studies, a conceptual model of e-commerce service capability is proposed and its formation mechanism is studied. On this basis, the paper investigates how to measure e-commerce service capability. The aim is to provide theoretical guidance for enterprises' capability planning on e-commerce platforms and to facilitate the transformation from ‘commodity management’ to ‘capability management’. A combination of probability sampling and non-probability sampling was used to select the sample by distributing questionnaires to manufacturing companies in Taizhou, Hangzhou and Shaoxing, Zhejiang Province. For the mail survey, this study uses a snowball method to select the sample. This paper constructs service capability measurement indexes for e-commerce enterprises based on customer's perception of the transaction process, and uses dynamic factor analysis method to analyze enterprises' e-commerce strategic capability, e-commerce management capability and e-commerce technical resources, thus bringing constructive suggestions for the improvement of e-commerce service capability. The findings show that these three competencies are key components of e-business capabilities and together determine the establishment, cultivation and maintenance of an enterprise's e-business capabilities. Enterprises need to focus on these three areas and continuously modify and improve them to ultimately acquire e-business service capabilities.

Research on the influential mechanism of Digital Capabilities on the Innovation Performance of Cross-border E-commerce Enterprises

Research on the influential mechanism of Digital Capabilities on the Innovation Performance of Cross-border E-commerce Enterprises

The Impact of Flexible Supply Chain on Innovation Performance Based on Data Analysis Capability-A Case Study of the Cross-border E-commerce Industry

With the developing of information technology and cross-border e-commerce industry, the advancement of big data technology allows for better representation and satisfaction of consumer needs. Flexible supply chain has become a new focus for cross-border e-commerce enterprises. This study distributed 215 survey questionnaires and, from the perspective of data analysis capability, analyzed the impact of flexible supply chain on enterprise innovation performance. The results show that data analysis capability and flexible supply chain have a significant positive impact on innovation performance; data analysis capability have a significant positive impact on flexible supply chain; flexible supply chain acts as an intermediary variable, playing a partial mediating effect between data analysis capability and innovation performance. This provides effective theoretical guidance on how the cross-border e-commerce industry can better understand changes in consumer demand in the era of big data, achieve product innovation, and performance growth.