E-commerce Process Research Articles

Harnessing the power of blockchain technology to support decision-making in e-commerce processes

Technology, such as blockchain, has emerged as a promising solution for addressing the challenges of e-commerce decision-making. In this study, we explore the potential benefits of integrating blockchain technology into e-commerce and its role in supporting decision-making in e-commerce. We also examine blockchain’s benefits in terms of enhanced security, transparency, and efficiency for e-commerce platforms. Furthermore, the study discusses the challenges of implementing blockchain for e-commerce, including scalability, integration, regulatory frameworks, user experience, privacy, interoperability, and sustainability. By analyzing these challenges, the study provides valuable insights for future research and development efforts to facilitate a seamless adoption of blockchain technology in e-commerce decisions. Blockchain technology holds the potential to transform an e-commerce ecosystem by overcoming these challenges and unlocking its transformative potential.

Trie and LOUDS hybrid model for efficient e-commerce processing in cloud environment

Set superset query is widely used in e-commerce processing and many other domains, particularly in cloud computing environments. Indexing is an efficient way to model e-commerce data. Many existing indexes, however, primarily focus on enhancing either query performance or space efficiency, often neglecting the need to strike a balance between these two factors. We have observed that upper nodes closer to the root of a tree are frequently accessed, while lower nodes near the leaves tend to entail expensive storage costs. To address this issue, we introduce TLI model, a trie and level-ordered unary degree sequence (LOUDS) hybrid model. The upper part of TLI is a trie, which is optimized for superior query performance. The lower part of TLI uses the LOUDS structure. TLI strikes a good balance between query performance and space utilization. To seamlessly integrate these two parts, we have developed efficient connecting strategies. Our simulation results on localhost demonstrate that TLI outperforms its competitors in terms of both space and time efficiency. Remarkably, it enhances query performance by up to 1.89 times, with a modest 6.72% increase in space overhead compared to LOUDS-based alternatives.

An Investigation into the Influence of E-commerce Platforms on Local Retailers: A Case Study of Kollam District

The impact of the Internet and e-commerce on traditional retailing has been a topic of extensive debate, with divergent views ranging from apocalyptic predictions of the demise of physical retail to assertions of minimal impact on traditional retailing. Despite the exaggerated hype, occasional high-profile failures, and the multitude of conflicting perspectives, e-commerce processes offer the potential for a profound reevaluation of retail operations and retailer behavior. Indeed, the advent of e-commerce necessitates a reassessment of existing retail practices and cost structures in response to the influx of new technologies and evolving retail structures. While the e-commerce market continues to expand rapidly, it is important to note that this growth does not necessarily translate to a significant decline in the traditional retail market. Shopping malls are not shuttering at an alarming rate, nor are the retail outlets of beloved brands disappearing due to online competition. However, there is undeniably a paradigm shift underway, with consumers increasingly turning to online platforms for their shopping needs. This shift presents a unique challenge for private sector employers in the retail industry, who must navigate the changing landscape and adapt their strategies to remain competitive. While online shopping offers unparalleled convenience and accessibility, traditional retailers must leverage their strengths in areas such as personalized customer service, immersive shopping experiences, and community engagement to differentiate themselves in an increasingly crowded marketplace. As e-commerce continues to reshape the retail landscape, it is imperative for retailers to embrace innovation, invest in digital capabilities, and explore new business models to thrive in this evolving environment. By understanding and harnessing the potential of e-commerce technologies, retailers can not only survive but also thrive in the dynamic and interconnected world of modern retailing.

Strategy design of fresh e-commerce pre-warehouse based on mass customization

Pre-warehouse is the last link in the delivery process of fresh e-commerce. The purchase link of pre-warehouse needs to balance two contradictory goals: meeting the diverse individual needs of customers and reducing the delivery cost through scale. The idea of mass customization is a trade-off between economy of scope and economy of scale. Based on this idea, this paper constructs a mass customization model, and formulates the purchase strategy for the pre-warehouse based on the prediction of customer demand, so as to maximize the long-term profit of enterprise. Through the simulation experiment, this paper compares the comprehensive performance of the mass customization model with five other contrastive strategy models: the highest satisfaction strategy, the demand priority strategy, the lowest purchasing price strategy, the highest selling price strategy and the highest gross margin strategy. Experimental results show that no matter how the parameters change, the mass customization model performs better than other models. What’s more, when the demand forecast is accurate, the substitutability between commodities is strong, and the delivery cost is high, the mass customization model has biggest advantage over other strategy models. The main innovation of this paper is introducing the idea of mass customization in pre-warehouse purchase problem, which not only expands the scope of application of mass customization, but also proposes a stably better and appliable pre-warehouse purchase strategy.

Experimental quantum e-commerce.

E-commerce, a type of trading that occurs at a high frequency on the internet, requires guaranteeing the integrity, authentication, and nonrepudiation of messages through long distance. As current e-commerce schemes are vulnerable to computational attacks, quantum cryptography, ensuring information-theoretic security against adversary's repudiation and forgery, provides a solution to this problem. However, quantum solutions generally have much lower performance compared to classical ones. Besides, when considering imperfect devices, the performance of quantum schemes exhibits a notable decline. Here, we demonstrate the whole e-commerce process of involving the signing of a contract and payment among three parties by proposing a quantum e-commerce scheme, which shows resistance of attacks from imperfect devices. Results show that with a maximum attenuation of 25 dB among participants, our scheme can achieve a signature rate of 0.82 times per second for an agreement size of approximately 0.428 megabit. This proposed scheme presents a promising solution for providing information-theoretic security for e-commerce.

Blockchain-based E-commerce Transaction Verification Mechanism Design and Performance Evaluation

Abstract With the development of blockchain technology and the increased demand for its application in e-commerce. However, the encryption algorithm of traditional blockchain technology poses a risk to data security protection. Therefore, this paper builds secure cryptographic protection by means of secondary encryption and interactive verification of the interaction process of e-commerce transaction data through a hash function. Then, for the transaction process of e-commerce, an electronic transaction protocol with privacy protection is proposed. The effectiveness of blockchain-based e-commerce transactions is analyzed according to correctness and security. The questionnaire of this study has good reliability based on the analysis of relevant data, where the overall reliability of all variables is 0.865. There is a positive correlation between the efficacy of e-commerce transactions and correctness, anonymity, resistance to simulation attacks, and accountability protocols at the 5% significance level. The correlation between traceability, non-repudiation, and resistance to replay attacks is not significant. E-commerce transaction effectiveness = 0.326* correctness + 0.455* anonymity + 0.354* traceability + 0.254* non-repudiation + 0.171* resistance to simulation attacks + 0.445* resistance to replay attacks + 0.552* accountability protocol. The accountability protocol factor has the greatest impact and contribution to the e-commerce transaction effectiveness of blockchain.

Особливості управління логістичними процесами електронної комерції підприємства

In the context of the rapid development of digital technologies and increasing consumer demands, the efficiency of logistic processes is becoming a decisive factor in the success of electronic trading platforms. The aim of the article is to identify ways to improve the logistics management system in the e-commerce sector in Ukraine for integration into the modern exogenous and endogenous contexts of online platforms. The main challenges faced by e-commerce companies in the integration of innovative logistics solutions, as well as strategies for optimizing supply chains in the context of a digitalized environment, are considered. Attention is focused on the importance of adapting logistics systems to the dynamic context of the e-commerce sector, taking into account the automation of ordering processes, inventory management, and improving delivery methods. The impact of digitalization on logistic operations is analyzed, including the use of artificial intelligence and big data to forecast demand and optimize delivery routes. The importance of adapting logistics strategies to constantly changing market conditions is emphasized. The importance of use of an integrated approach when solving logistic problems of e-commerce is emphasized. The key necessary changes in the management of logistic processes in e-commerce have been identified. A number of recommendations for Ukrainian e-commerce companies seeking to optimize their logistics in a digitally globalized environment have been allocated. It is underlined that the integration of modern technologies and flexible supply chain management are key to meeting consumer expectations and ensuring the efficiency of activities in online trade. The article may be useful for analysts and researchers in the field of logistics systems, e-commerce companies. Further research provides for the formation of a system for implementing changes at the strategic and operational level to the logistics management of Ukrainian e-commerce companies.

Bitcoin Cryptocurrency and Electronic Commerce in Saudi Arabia

Bitcoin, a well-known cryptocurrency, has attracted much attention worldwide and is becoming more widely used. This study develops a hypothesis to investigate and test the impact of Bitcoin on E-Commerce use in Saudi Arabia using a survey research approach. Analyzing factors such as Bitcoin awareness and usage among Saudi Arabian consumers can increase online transactions, increase payment efficiency, a larger degree of financial inclusion, and a higher level of trust and security. The online-based survey was used to collect responses, and descriptive-analytical and standard results. Assessment criteria approaches were implemented to interpret the results. Responses were collected from individuals and employees of various companies working in different occupations in Saudi Arabia. In addition, statistical tools SPSS and SmartPLS were used to test the study’s hypotheses. The findings indicated a rapid growth in e-commerce transactions and some knowledge of Bitcoin. Also, it shows a positive correlation between digital currencies (Bitcoin) and e-commerce in Saudi Arabia. The study’s conclusions are expected to be valuable for those involved in Saudi Arabia’s e-commerce sector, helping them to decide how to adopt and use Bitcoin in their digital business strategy. The study also opens the way for future investigations into topics including Saudi Arabia’s regulations for Bitcoin, consumer attitudes toward Bitcoin, and the potential of blockchain technology for enhancing the nation's e-commerce processes.

ÇOKLU REGRESYON MODELİNE GÖRE E-TİCARET İŞLEM HACMİNİ ETKİLEYEN FAKTÖRLER (TÜRKİYE ÖRNEĞİ)

The widespread use of the internet in the 21st century, thanks to the developments in information technologies, has affected not only daily life but also economic activities. With the spread of the internet, business owners have turned to internet marketing system instead of traditional marketing. Additionally, purchase and sale transactions have been moved from the real world to the virtual world, and the increase in the number of users in the electronic environment has made the sales process popular for businesses and the purchasing process for consumers. This study discusses the development process of e-commerce and the factors affecting e-commerce with a time series analysis. In this context, first, the historical development of e-commerce and then the situation of e-commerce in Turkey and in the world are presented using numerical data. Lastly, the factors affecting e-commerce are discussed. The scientific dimension of the study was created by bringing together the findings obtained from domestic and foreign literature. In this study, factors such as Per Capita Gross Domestic Product (PCGDP), the number of internet users, social media prevalence, inflation, and the Covid-19 pandemic, which may affect the e-commerce transaction volume in Turkey, were put forward for the years 2010-2021. By creating a multiple linear regression model in which these factors are independent variables, the degree of effectiveness of the factors affecting the e-commerce volume has been presented and interpreted. This study aims to fill the gap in the literature and guide future research on similar issues.

Retracted: Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

Retracted: Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

Analysis of E-Commerce Management Policies Based on The Current Situation of Development

At present, e-commerce is an indispensable part of the development of the real economy. This article on the guiding policies of government supervision and support for the development of e-commerce. This article first finds that e-commerce is applied to rural revitalization and raised issues such as internal supervision and supply chain innovation of e-commerce. This article follows the progressive decision-making model and analyses the development process and future of e-commerce. When studying the development of e-commerce, some questions were raised: E-commerce has not fully met the ever-changing consumer demand and has not fully realized stable development. There are loopholes in the internal supervision of the e-commerce industry at all stages of the development of e-commerce, and the government's e-commerce policy formulation still needs to be improved. And the industrial chain supply chain in the e-commerce industry needs to be expanded and innovated in response to changes in the post-epidemic era. This article proposes to formulate regulatory policies to standardise commission distribution, internal interest rates, and encourage high-quality professionals to invest in logistics innovation, promote the overseas circulation of goods, and promote the development of the foreign economy. It also provides a guiding role for the implementation of future government measures and the formulation of national e-commerce development policies.

AI-Driven Recommendations: A Systematic Review of the State of the Art in E-Commerce

Electronic commerce has a strong connection with recommendation processes. There are various forms of recommendations, ranging from virtual assistants to online suggestions made in real time. Different algorithms and technologies are utilized for each form, and the choice of technique is dependent on the task at hand. For instance, artificial intelligence may utilize deep learning or machine learning techniques. The type of data also plays a role in determining the techniques used. Predictive modeling is applied to textual data, while image data requires image processing followed by AI algorithms for prediction. This study aimed to investigate the extent to which artificial intelligence is utilized in recommender systems for electronic commerce, as well as the current and future trends in the field. This was achieved through a systematic literature review of scientific articles from the past decade, using WosViewer for data collection and the Bibliometrix R package for analysis. The findings demonstrate that artificial intelligence works in conjunction with other technologies, such as blockchain, virtual reality, and augmented reality, to enhance the consumer experience throughout the e-commerce process.

OPTIMIZATION OF LOGISTICS PROCESS MANAGEMENT IN TRADE

The article considers the theoretical and methodological and practical principles of logistics processes management. Current trends in logistics development are outlined. It is shown that the trends demonstrate active implementation in the management processes of the elements of Logistics 4.0. The expediency of using economic-mathematical methods and models to solve logistics tasks is reasoned. An overview of ecommerce processes, typical for today, both in the world and in Ukraine, which directly cause changes in logistics, is made. The problem of optimization of transport costs for delivery of goods from the warehouses of the online store "Hope" to customers, taking into account the non-stationarity (seasonality) factor is defined. The economic-mathematical model of the problem of logistics processes management has been built and adapted as follows: selection of two seasonally-leased warehouses from five reserve ones and optimization of transport costs for delivery of goods from warehouses of the online store to customers. This optimization model was implemented to solve the problem of optimizing logistics costs for the online store "Hope", taking into account seasonal demand, transport tariffs, warehouses capacity and forecasted sales volumes. Various ways to solve the problem of logistics process management, which allows us to show the additional benefits of using these methods and determine the effectiveness of the decision taken are considered as well. The solution for the choice of warehouses and the optimal plan for delivery of goods to customers in order to minimize transportation costs is obtained. It is shown that with the use of economic and mathematical modeling to solve the problem of seasonally adaptive transition for logistics process management, it is possible to make the best choice of two additional leased warehouses from the five reserve ones, to find the optimal delivery plan, to reduce the total length of delivery route and, consequently, the costs of transportation of goods, to avoid shortages of goods in warehouses, in a timely manner and with minimal costs to satisfy the interests of customers of online store "Hope" goods. The economic interpretation of the results of the models implementation is presented and recommendations for their use are provided to achieve minimization of transportation costs, maximum flexibility, speed, reliability of the supply chain, ie to make effective management decisions.

DEVELOPMENT OF ONLINE MARKETING COMMUNICATION MODEL OF ORGANIC AGRICULTURAL PRODUCTS FOR FARMERS.

The purpose of this research studies a foundation for the Development of an online marketing communication model for organic agricultural products for farmers. The sampling groups are 343 organic agricultural product customers in Bangkok and In-depth interviews with ten experts. This study used combined methods of Quantitative research and Qualitative research. The research found that the communication model of organic agricultural products for farmers consisted of 1. The farmers have to know about information technology and marketing, be honest with themselves and consumers, be ethical, and produce good quality products. 2. Contents should be used and straightforward for consumers. 3. Online communication channels should be easy to use, fast, and inexpensive. 4. The ECommerce process consists of information searching, purchasing, payment, and shipment, which have to be easy to use and fast. 5. Consumers and stakeholders consider food safety and clean knowledge about organic agriculture. 6. Re-action of consumers or stakeholders after receiving information that presents satisfaction in the relationship between sellers and customers. The problem with online marketing communication in organic agricultural products of farmers is farmers' need for knowledge in information technology, online communication channels, marketing and branding, creative idea, or content. Consumers trust online marketing communications, which are high-level.

C2C Model E-Commerce Credit Evaluation Model Based on Artificial Intelligence

The development of network computer technology and artificial intelligence technology promotes the generation of software agents. However, online shopping has inherent information asymmetry due to the anonymity and liquidity of C2C (Customer to Customer) transactions. In the virtual environment, buyers cannot see the physical products, and they do not experience online shopping in person. They can only select products through the seller’s pictures and descriptions. After payment, there may be some problems, such as sending the wrong product, the seller does not deliver the goods after receiving the goods, or the seller does not receive the payment after delivery, etc. Therefore, the credit problem is the bottleneck for the development of online shopping business. Therefore, in order to ensure the transaction security of buyers and sellers, major C2C online trading platforms at home and abroad have established a credit evaluation mechanism. However, due to the reliability of e-commerce technology, the legal environment of e-commerce, the ethical environment of e-commerce, and the problems of existing credit evaluation indicators. The development of e-commerce in China is very slow. Therefore, actively exploring the credit model of Chinese e-commerce is of great significance to promoting the development of Chinese market economy. In this paper, AI technology analyzes the credit evaluation management method of C2C e-commerce website for transaction participants. This paper summarizes some key factors that affect the establishment of C2C credit, and further finds that there are some problems in the credit evaluation model involved in the e-commerce process. These problems stem from the inability to properly deal with the current development of e-commerce in China. There are problems with its evaluation system and honest transaction process. In order to better promote the development of e-commerce, in view of the above problems, this paper proposes a new model of C2C e-commerce credit system based on the game theory model of e-commerce buyers and sellers of AI technology, and further improves the evaluation model and related measures to completely solve the problem. Credit value generally shows a growth trend, but the trend is not obvious.

The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

Investigating the live streaming sales from the perspective of the ecosystem: the structures, processes and value flow

PurposeLive streaming sales (LSS) is an emerging and flourishing practice in the retail industry. While its implementation has been pervasively attempted, there is a lack of systematic and academic exploration of the practice. Therefore, the aim of this study was to investigate the LSS ecosystem and its development through a literature review and an industry analysis. Moreover, by pinpointing the pitfalls in current practices, this paper presents the practical implications of LSS and provides recommendations and directions for future academic exploration.Design/methodology/approachThe aim of the present study was to investigate the developing trajectory, exclusive elements (such as multi-channel networks (MCNs) and live streamers) and other critical components of the LSS ecosystem using a mixed-methods approach that comprises content analysis of newspaper articles and press releases, literature view and industry analysis.FindingsThe results of the analyses indicate the presence of several nonfungible modular components in the LSS ecosystem, including upstream suppliers, MCNs, live streamers and platforms. It was also found that inequalities and hierarchies are inherent to the LSS ecosystem as it currently exists: low-end participants in the LSS industry and small- and medium-sized enterprise owners, who constitute the majority of LSS practitioners, cannot reach the break-even point via LSS hosted by top-level live streamers or others (low-level live streamers, employees, etc.).Originality/valueThis article discusses the LSS ecosystem based on the nature of the nonfungible modules within it. In addition, it discusses the modules (roles) and relationships among them based on the theory of ecosystem developed by previous studies. Furthermore, drawing from an analysis of the pitfalls in the LSS ecosystem, this article highlights strategies for two critical e-commerce processes: 1) choosing which type of LSS to apply based on the factors of brands, products and consumers and 2) integrating LSS to optimize post-sale service and appeal to the sustainability of development.

Artificial Intelligence Techniques in E-Commerce: The Possibility of Exploiting them in Saudi Arabia

E-Commerce has transformed business as we know over the past few decades. The rapid increasing use of the Internet and the strong purchasing power in Saudi Arabia have had a strong impact on the evolution of E-Commerce in the country. Saudi Arabia is yet another country that will release artificial intelligence power to fuel its growth in the economic world. Recently, artificial intelligence (AI) applications that can facilitate e-commerce processes have been widely used. The impact of using artificial intelligence (AI) concepts and techniques on the efficiency of e-commerce, particularly has been overlooked by many prior studies. In this paper, a literature review was conducted to explore and investigate possible applications of AI in E-Commerce that can help Saudi Arabian businesses.

Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

Currently, the global consumer market is moving toward digitalization, and cross-border e-commerce enterprises are no exception and have to make adjustments in their operational strategies. Digitalization brings complexity, dynamism, and fragmentation in sales channels, media environment, and consumer behavior, requiring cross-border e-commerce enterprises to react more quickly and timely, and the need for intelligent operations is becoming more and more urgent. In this paper, through the problem of predicting the e-commerce user behavior process, the model usually needs to focus on both long-term preferences and short-term preferences of e-commerce users in the current behavior sequence; otherwise, the behavior prediction will be much less effective. Specifically, through a comprehensive analysis of typical cases, the strategies and problems in the intelligent operation process of China’s cross-border e-commerce enterprises at the present stage are discussed, and corresponding suggestions are put forward, so as to promote the rapid development of China’s cross-border e-commerce enterprises.

Електронна комерція як інструмент забезпечення безперервності бізнесу в умовах пандемії «COVID19»

The COVID19 pandemic in 2019 dealt a severe blow to the economy of every country in the world. As a result of the closure of many businesses and stores, many consumers switched to online shopping – 84 % made online purchases during the pandemic. Shoppers began shopping outside their home country, which intensified online competition. In the first half of 2020, cross-border e-commerce grew by 21 %. SOLMAR LLC, which is a leader in the Ukrainian market for the production and sale of basic women’s clothing, was chosen to study e-commerce business processes. The main types of e-commerce of the researched enterprise are B2C and B2B. The company has 8 offline stores, a web-site, Instagram with more than 600 thousand subscribers, went to Rozetka and Amazon. The consumers of the enterprise include women aged 14–50. Turksell and Akademi Textile are the key suppliers that ensure timely delivery of materials and orders. Among the main competitors of SOLMAR LLC are FAMO, VOVK, Fashionista, ByOn. The main partners of the company are: SKYUP, PrivatBank, Nova Poshta, Avivi, ROZETKA, Amazon. According to the B2B form, the company cooperates with the following corporate clients: «SkyUP»; AstraDent; BROOKLYN. According to the NPS survey, the level of consumer loyalty to the brand is 86%. According to the pricing policy, the company is middle-class and offers high quality at a fairly low price on the market compared to competitors. The business process of e-commerce of SOLMAR LLC was evaluated. It is established that ecommerce B2C LLC «SOLMAR» in the peak period of sales has a high profitability. The financial and economic condition of the enterprise in 2017-2020 is estimated by a number of indicators and on their basis the taxonomic indicator of the level of development is calculated. The taxonomic indicator of the level of development in 2020 deviates from its value in 2019 by only 0.002 points. It was concluded that the introduction of e-commerce allowed SOLMAR LLC not only to continue economic activity in the COVID19 pandemic, but also to increase profits from sales of goods, increase its market share and increase the value of its product to consumers.