E-commerce Product Research Articles

Risk assessment method for cross-border e-commerce products based on social network analysis

Risk assessment method for cross-border e-commerce products based on social network analysis

Risk assessment method for cross-border e-commerce products based on social network analysis

Risk assessment method for cross-border e-commerce products based on social network analysis

农产品电商直播的发展现状与优化路径研究

农产品电商直播的发展现状与优化路径研究

A Study on Promoting Guizhou Agricultural Products E-Commerce Development Based on Blockchain Technology

A Study on Promoting Guizhou Agricultural Products E-Commerce Development Based on Blockchain Technology

Research on Rural Regional Image Communication in the Practice of Agricultural Products E-commerce

Research on Rural Regional Image Communication in the Practice of Agricultural Products E-commerce

Research on the Development Problems and Countermeasures of Agricultural Products E-Commerce under the Background of Rural Revitalization Strategy

Research on the Development Problems and Countermeasures of Agricultural Products E-Commerce under the Background of Rural Revitalization Strategy

Research on the Sustainable Development of Live Selling of Agricultural Products E-Commerce in the Context of Rural Revitalization

Research on the Sustainable Development of Live Selling of Agricultural Products E-Commerce in the Context of Rural Revitalization

Study on the Development Path of Agricultural Products E-commerce from the Perspective of County

Study on the Development Path of Agricultural Products E-commerce from the Perspective of County

Research on Social Work Supporting the Development of Agricultural Product E-Commerce in Lingshui County under the Background of Rural Revitalization

Research on Social Work Supporting the Development of Agricultural Product E-Commerce in Lingshui County under the Background of Rural Revitalization

Research on the Development Status, Problems and Strategies of Agricultural Products E-commerce Live Streaming Platform——Taking "EAST BUY" as an Example

Research on the Development Status, Problems and Strategies of Agricultural Products E-commerce Live Streaming Platform——Taking "EAST BUY" as an Example

Research on the Development of Agricultural Product E-Commerce under the Digital Economy Environment

Research on the Development of Agricultural Product E-Commerce under the Digital Economy Environment

Utilizing Clustering Methods for Categorizing Delivery Requirements Based on Analysis of E-Commerce Product Data

Utilizing Clustering Methods for Categorizing Delivery Requirements Based on Analysis of E-Commerce Product Data

Customer expectations regarding packaging of food products in e-commerce in Hungary

The aim of the study is to highlight on the negative ecological impacts caused by online commerce, which are directly proportional to the increasing number of orders. The previously thriving e-commerce sector saw further strengthening from 2020 onwards due to responses to the COVID-19 pandemic. However, this growth also brought about numerous negative externalities, as customers ordered from various retailers, deliveries were handled by different couriers, and supply chains often spanned multiple continents. This also meant that logistical processes imposed significant burdens on the environment, including shipping and the strain caused by packaging materials. Simultaneously, the number of consumers who expect 'green solutions' from service providers has increased. They take this into consideration during their purchases and are even willing to pay more for a product or service that demonstrates sustainability efforts. The study presents the challenges posed by packaging materials in the field of e-commerce. Through the analysis of the available questionnaire, we can gain insights into whether expectations regarding eco-friendly packaging solutions correlate with consumers' educational background, income level, place of residence, age, and gender.

Personalized Recommendation Method of E-Commerce Products Based on In-Depth User Interest Portraits

In dynamic e-commerce environments, researchers strive to understand users' interests and behaviors to enhance personalized product recommendations. Traditional collaborative filtering (CF) algorithms have encountered computational challenges such as similarity errors and user rating habits. This research addresses these issues by emphasizing user profiling techniques. This article proposes an innovative user profile updating technique that explores the key components of user profile (basic information, behavior, and domain knowledge). An enhanced kernel fuzzy mean clustering algorithm constructs a dynamic user portrait based on domain knowledge mapping. This dynamic portrait is combined with e-commerce personalized recommendation to improve the accuracy of inferring user interests, thus facilitating accurate recommendation on the platform. The method proposed in this article greatly improves the overall performance and provides strong support for developing smarter and more personalized e-commerce product recommendation systems.

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.

Fostering Village Prosperity: Digital Innovations in Service Information and Uplifting UMKM Marketing Transforming Desa Balongdowo in Indonesia

In today's digital era, marketing trends are evolving along with increasingly sophisticated technological changes. Digital marketing comes as a new innovation where the marketing process of a product or service can be done through digital or internet. Digital marketing provides opportunities for businesses of various sizes and types of businesses that want to be marketed, while introducing their products to a wider market at a more affordable price. On the other hand, village development currently requires information technology to improve services to the community. website-based information systems can improve services to the community so that information to the community can be accessed easily and accurately. This Community Service activity is carried out to support the progress of Balongdowo Village through digital marketing and village information systems that can provide benefits to the community and local businesses. Target achievements in terms of Digital Marketing include the achievement of increased sales of processed kupang products and expansion of buyer reach. As well as the achievement in terms of Information System is the better-known profile and potential of Balongdowo village through the village website. Implementation in the field of Digital Marketing is done through seminars and mini workshops to Balongdowo villagers and MSMEs on how to register and market processed kupang products in e-commerce. Implementation in the field of Information Systems includes the creation of an information system portal in the form of a Balongdowo Village website. The method used in this Community services includes the implementation of Forum Group Discussion (FGD) for the initial understanding of the community regarding e-commerce. Followed by digital marketing training and evaluated through the buying and selling process in e-commerce. As for the field of Information Systems, FGD was also conducted, followed by a mini workshop on the operation of the Balongdowo Village Website Portal, as well as assistance in making multimedia documents and uploading them on the village website portal. And the evaluation can be seen in the development of the information system portal. Currently, Balongdowo Village already has a website, as well as the success of several business actors in Balongdowo Village who have accounts on Tokopedia, Shopee and Blibli. Digital marketing assistance provides benefits in improving the capabilities of the digital marketing team and strategy innovation. The creation of the Village Service Information System (SIPD) improved the efficiency, transparency and effectiveness of village services, and enabled better data management.

Cucconi Feature Extracted Random Decision Forest Classification for Efficient Sentiment Analysis

Sentiment is the method of conveying the opinion by the customer for particular product e-commerce website. Sentiment analysis is otherwise termed as opinion mining that identifies the polarity of extracted opinions. Nowadays, opinion mining concept received large interest by many researchers to identify the polarity of the statements. A number of scholars have conducted their research on efficient sentiment analysis with better accuracy. But the space complexity and time complexity performance did not reduced using existing classification techniques. To deal with these issues, CFDFC (Cucconi Feature Extracted Random Decision Forest Classification) Approach is presented. The primary aim of CFDFC Approach is to perform effective sentiment analysis with improved accuracy and reduced time complexity. The number of user review statement is collected from the input dataset. The proposed CFDFC Technique comprises of pre-processes, feature extractions, and classifications. Pre-processes eliminate stop words and stem words from user reviews. After pre-processing, the features (i.e. keywords) extraction process is performed to minimize the dimensionality and time consumption for opinion classification. This work uses cucconi projective feature extractions in CFDFC to squeeze out opinion words from reviews where cucconi projective feature extraction is generally a dimensionality reduction technique used for identifying the projections in multidimensional data. Finally, the classification process is carried out using random decision forest classifier. The random decision forest classifier uses the ID3 DT (decision tree) as a weak learner to classify the review statements with the extracted features. By using the voting scheme, random decision forest classifications finally classify instances with higher accuracy. This again is useful to boost the performance of sentiment analysis. The comprehensive experimental assessment is carried out using various parameters including accuracy, error rates, recall values , time and space complexities with regard to the number of review statements gathered from the dataset.The statistical results obtained show that the proposed CFDFC Technique achieves remarkable accuracy, recall, and minimal time complexity than the current methods.

Research on Mining Talent Demand for E-commerce Majors based on LDA Topic Model

[Purpose] Based on the text mining method, this study analyzes the job demand for domestic e-commerce industry positions in the Internet-oriented recruitment data, promotes the matching of e-commerce positions and talents, and promotes the good construction of the employment environment in the domestic e-commerce industry.[Method] Use the LDA(Latent dirichlet allocation) topic model for job competency requirements to calculate the similarity of the word segmentation results for professional talent requirements, determine the optimal number of topics, and output the visualization results of the LDA topic model.[Conclusion] In eastern China, there is a high demand for e-commerce jobs, and the majority of these positions only call for 1-3 years of experience. The basic requirement for the majority of jobs is a college degree. The Director of Operations and Director of Network Operations focus on e-commerce operations and management, the Network Promotion Specialist focuses on e-commerce advertising and product promotion, the Data Analyst and Market Analyst focus on data analysis and market research, and the Sales Representative focuses on sales. There is a correlation between the salary of the positions and education, experience and region; the higher the education, the more experience and the higher the level of regional development, the higher the salary level.

Determinant Factor Affecting Impulsive Buying Behavior of Fashion Products in E-Commerce

Purpose – This research aimed to analyze determinant factors influencing impulsive buying behavior of fashion products in E-Commerce. Methodology – Research instruments and quantitative data analysis were adopted for predetermined testing. The data was gathered using documentation instruments and the distribution of online questionnaires. The foundation for selecting the sample was oriented towards a non-probability sampling method using a purposive sampling formula. This research comprised a sample of 200 consumers who made buying of fashion products through E-Commerce. Findings – The results showed that celebrity endorser, fashion involvement, and shopping lifestyle positively and significantly affected impulsive buying. Meanwhile, sales promotion had a positive and insignificant effect on impulsive buying. Originality – The interaction between shopping lifestyle and fashion involvement formed very high impulsive buying patterns on E-Commerce. These two concepts were interrelated and strengthened each other. Consumers with a shopping lifestyle driven by high fashion involvement might be prone to impulsive buying, specifically when there was a stimulus related to fashion preferences and trends.

The Impact of the Internet on the Development of Agricultural Product Value Chain

With the popularization and rapid development of the Internet, the development of the value chain of agricultural products has also been profoundly affected. The purpose of this paper is to study the application of the Internet in the production, processing, circulation, consumption and extension of each link in the value chain of agricultural products, analyze the impact of the Internet on the development of the value chain of agricultural products, and point out the problems of information security and value chain financing of agricultural products in the process of promoting the development of the value chain of agricultural products, so as to put forward countermeasures and suggestions to promote the development of agricultural products e-commerce and cross-border e-commerce of agricultural products, improve the Internet application ability of farmers, and increase the support for the value chain financing of agricultural products. This is of great significance for promoting the deep integration of the Internet and agriculture and promoting the realization of agricultural modernization in China.