Electronic Commerce Applications Research Articles

Classification of SMEs using multivariate statistical methods that al-low generating electronic commerce applications

We live in a competitive and globalized world in which electronic commerce is a reality and a very interesting alternative. The opportunities for small and medium-sized SMEs to prosper their businesses via online sales of their products grow more every day. However, despite the fact that there are data and surveys that show the exponential growth of commerce and use of payment methods. electronics have not, registering an expected growth, that is, although there are infrastructure conditions that allow the use of the Internet and carry out electronic transactions effectively, there are factors that limit the adoption of this technology as an instrument that allows them to improve their efficiency and productivity. This research aims to propose a new classification system for SMEs through conglomerates, carrying out a preliminary study of the current situation of SMEs using multivariate methods such as Ward's method and factor analysis that allows validity when generating trading applications. Electronically in a simple way, SMEs will be able to provide performance and scalability at a reasonable cost. as a competitive factor.

Assess the Impact of Blockchain Application in Electronic Commerce on Customer’s Shopping Experience

Technology is increasingly disruptive, and economic transformation according to technology development is inevitable. Especially the field of E-commerce is constantly catching up with that development. We can easily see the development and importance of e-commerce in Vietnam and worldwide after the Covid-19 pandemic. Therefore, to attract and get customers online, businesses need to come up with solutions to increase the customer experience when shopping for their products. And the solution to this problem is the application of blockchain technology (blockchain) to e-commerce. Customer experience when shopping on e-commerce platforms with blockchain application is influenced by factors such as perceived risk, security, transparency, information synchronization, cost savings. To carry out this research, the research team conducted a survey and analysis based on 402 most suitable survey questionnaires, then conducted an assessment of factors affecting the shopping experience of customers when applying blockchain to e-commerce using Smart PLS 4.0 software and SPSS software. The survey was conducted with customers who have experience buying on e-commerce. The results of this research paper are a premise for many other future studies related to blockchain technology and draw out the governance implications for Vietnamese businesses in improving the shopping experience of customers when applying blockchain technology to e-commerce. In addition, the research results also help shoppers access the benefits of blockchain technology, helping customers feel more secure and confident when buying on e-commerce.

ARTIFICIAL INTELLIGENCE APPLICATIONS IN E-COMMERCE: A BIBLIOMETRIC STUDY FROM 1995 TO 2023 USING MERGED DATA SOURCES

Purpose: The aim of this study is to conduct a comprehensive review of scientific articles concerning artificial intelligence (AI) applications in electronic commerce through bibliometric analysis. Theoretical Framework: The current study utilized both the SCOPUS and Web of Science (WoS) databases to enrich the analysis with a wider selection of papers in the field, incorporating an examination of the most cited documents. Design/Methodology/Approach: The dataset for analysis was selected according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, integrating data from Scopus and WoS through R software, specifically using the biblioshiny library. It includes 8372 papers published from 1995 to 2023. This study's data analysis used two approaches: descriptive analysis to examine the data quantitatively and scientific mapping to explore the intellectual and social structures within the dataset. Findings: The results reveal significant trends in the application of artificial intelligence in e-commerce, highlighting the rapid growth of interest in this area over the last decade. China emerges as the country with the highest number of citations, with ZHANG Y identified as the most relevant author and HU M as the most cited author. Furthermore, the study identifies prevalent keywords used by the authors, including sentiment analysis and recommendation systems. Research, Practical & Social Implications: This study underscores the transformative potential of AI in enhancing e-commerce practices, offering insights for both academic researchers and industry professionals by providing valuable perspectives on current trends and contributions. Originality/Value: The value of the study lies in its comprehensive bibliometric approach, which integrates two major databases to explore AI's applications in e-commerce. This deviation from previous reviews, which often rely on a single database, provides a deeper understanding of the current landscape and future directions in this field.

Users authentication issues and challenges in electronic commerce applications

Users authentication issues and challenges in electronic commerce applications

أثر نظم المعلومات المحاسبية الالكترونية على التجارة الالكترونية بالتطبيق على المصارف العاملة بمدينة الدمازين .

The study dealt with the impact of electronic accounting information systems on electronic commerce in commercial banks operating in Damazin city, the study aimed to identify electronic accounting information systems and their importance and to show the importance of accounting information systems in electronic commerce. The problem of the study was represented in the main question: What is the impact of electronic accounting information systems on electronic commerce in commercial banks? The study followed the descriptive analytical approach.
 The study reached several results, including: The electronic accounting information systems contribute to the creation of integration between the different departments and branches, Interest in research and development in banks works to strengthen electronic accounting information systems, electronic accounting information systems help in the application of electronic commerce. The study also recommended a number of recommendations, including: providing the opportunity for employees to develop electronic accounting information systems in institutions, Work to speed up the completion of financial transactions using electronic accounting information systems, and work to protect electronic accounting information systems from risks

The Usability of Management Information Systems Applications

Many management information systems applications can be used to support businesses. One example is platforms that support electronic commerce, so retailers can sell products and services online. The use of electronic commerce applications is so common that virtually every smartphone owner has used them. In this research, the author evaluates the usability of mobile applications for electronic commerce in the Kingdom of Saudi Arabia and introduces a measure with which developers and organizations can evaluate the usability of their mobile applications. Applying quantitative research methods, including structural equation modeling, the research shows that three constructs—application design, application utility, and user interface structure—are the strongest predictors of both continued intention to use a mobile application and loyalty to the mobile application.

English

Technological evolution has triggered more advanced market-based approaches to the transfer of goods, services, and information. In Ghana, Agribusiness small-medium enterprises' electronic commerce adoption is concentrated in Accra and Kumasi. This study spotting the research gap in Agribusiness small-medium enterprises' electronic commerce adoption selected the Upper East Region for the study. The study is centered on examining e-commerce adoption by agribusiness small-medium enterprises’ and the preferred electronic commerce applications adopted by Agribusiness small-medium enterprises' in the Upper East region of Ghana. A simple random sampling technique was adopted for the study. The results of the study show that 91% of agribusiness had adopted electronic commerce for their operations with the major observation that being electronic commerce environment is good for business. The major barrier to adoption was the high cost of adoption of electronic commerce applications. Owner experience, observability, benefits from electronic commerce, trialability and years in business were all found to be factors influencing agribusiness small-medium enterprises’ adoption of electronic commerce. Furthermore, the results also indicated that Agribusiness small-medium enterprises in the Upper East region use electronic commerce applications mostly for customer relation management and interorganisation system. In conclusion to the study, electronic commerce adoption was observed to be rising among agribusiness small-medium enterprises in the Upper East region but the greatest hurdle to their adoption was the high cost of adoption of these applications. The study, therefore, recommends that financial institutions, electronic commerce application manufacturers, and the government should collaborate to subsidy the cost of these electronic applications to agribusiness small-medium enterprises. Key words: Adoption, e-commerce applications, agribusiness SMEs, preference.

Optimal Auctions for Spiteful Bidders

Designing revenue-optimal auctions for various settings is perhaps the most important, yet sometimes most elusive, problem in mechanism design. Spiteful bidders have been intensely studied recently, especially because spite occurs in many applications in multiagent system and electronic commerce. We derive the optimal auction for such bidders (as well as bidders that are altruistic). It is a generalization of Myerson’s (1981) auction. It chooses an allocation that maximizes agents’ virtual valuations, but for a generalized definition of virtual valuation. The payment rule is less intuitive. For one, it takes each bidder’s own report into consideration when determining his payment. Moreover, bidders pay even if the seller keeps the item; a similar phenomenon has been shown in other settings with neg- ative externalities (Jehiel, Moldovanu, and Stacchetti 1996; Deng and Pekec 2011). On the other hand, a novel aspect of our auction is that it sometimes subsidizes losers when the item is sold to some other bidder. We also derive a revenue equivalence theorem for this setting. Using it, we generate a short proof of (a slight generalization of) the previously known result that, in two-bidder settings with independently uniformly drawn valuations, second-price auctions yield greater expected revenue than first-price auctions. Finally, we present a template for comparing the expected revenues of any two auction mechanisms that have the same allocation rule (for the valuations distributions at hand).

Attitude, Perceived Usefulness and Perceived Ease of Use towards Intention to Use M-Commerce: A Case of Grocery Shoppers in Kuching, Sarawak

In this digital era, technology has a crucial function in lives of many people. Mobile devices, in particular, have become an important product to many individuals and have been expected to further increase in their usage. The fast expansion of electronic commerce (e-commerce) application and wireless technology in Malaysia has given birth to a new electronic marketing idea known as mobile commerce which also known as mobile commerce (m-commerce) where shopping is enable via mobile. Studies have highlighted the fact that m-commerce is still limited despite it has been increasingly gaining momentum nowadays. The potential of m-commerce to flourish in near the future has been agreed by many scholars. Having said that, this study assessed the impact of Attitudes towards m-commerce on the relationships of Perceived Usefulness and Perceived Ease of Use with intention to use m-commerce. The findings revealed that Attitude is the most influential factor on the intention to use m-commerce for grocery shopping among grocery shoppers in Kuching, Sarawak. Implications and future endeavors are also discussed in this study.

PCLoss: Fashion Landmark Estimation with Position Constraint Loss

Fashion landmark estimation aims at locating functional key points of clothes, which has wide potential applications in electronic commerce. However, due to the occlusion and weak outline information, landmark estimation occurs outliers and duplicate detection problems. To alleviate these issues, we propose Position Constraint Loss (PCLoss) to constrain error landmark locations by utilizing the position relationship of landmarks. Specifically, PCLoss adds a regularization term for each landmark to regularize their relative positions, and it can be easily applied to both regression and heatmap based methods without extra computation during inference. Unlike existing approaches that propagate landmark information between feature layers by specific network structures, PCLoss introduces position relations of landmarks in the label space without modifying the network structure. In addition, we leverage the skeleton-like relation of clothing to further strengthen position constraints between landmarks. Extensive experimental results on DeepFashion, FLD and FashionAI demonstrate that our methods can effectively increase the performance of mainstream frameworks by a large margin. We also explore the effectiveness of PCLoss on human pose estimation task, and the experimental results on COCO 2017 prove the generality of our methods on other key point estimation tasks.

The effect of obstructions in the e-commerce in electronic commerce applications: evidence from the Jordan business sector

The study aimed to find out the electronic and the impact of trade obstacles in e-commerce applications in the Jordanian business sector, the concept of electronic commerce obstacles in the business sector is clarified, and these obstacles are mentioned, which are three main obstacles in this study technological obstacles, human resources obstacles, and law and legislation obstacles and to achieve this goal the study chose a component of Jordanian banks and branches society, was used questionnaire data collection tool, was distributed to the author than 100 employees in these banks sample, were retrieving 96 of them, were subjected to statistical analysis. The most important outputs of the study are a direct impact of the obstacles to e-commerce in e-commerce applications in organizations, and found the most effective human resources obstacles followed by law and legislation obstacles. Based on the results of the analysis and testing of hypotheses, show that e-commerce obstacles standards in the Jordanian business sector and of technical and technological factors, the special human resources factors, legislative and legal factors, the study recommended the need to increase the electronic awareness and culture of the Internet among the different segments of society, reduce obstacles and streamline procedures to help various community groups to get personal computers and the ability to subscribe to and use of the Internet.

20 years of Electronic Commerce Research

2021 marks the 20th anniversary of the founding of Electronic Commerce Research (ECR). The journal has changed substantially over its life, reflecting the wider changes in the tools and commercial focus of electronic commerce. ECR’s early focus was telecommunications and electronic commerce. After reorganization and new editorship in 2014, that focus expanded to embrace emerging tools, business models, and applications in electronic commerce, with an emphasis on the innovations and the vibrant growth of electronic commerce in Asia. Over this time, ECR’s impact and volume of publications have grown rapidly, and ECR is considered one of the premier journals in its discipline. This invited research summarizes the evolution of ECR’s research focus over its history.

Trends of Shopping through Electronic Commerce Application

Trends of Shopping through Electronic Commerce Application

Cloud computing with AI for banking and e-commerce applications

PurposeIn cloud computing, banking knowledge with business intelligence (BI) will be a better option for the users, and the users do not have an overall picture of the whole thing until the entire job is completed.Design/methodology/approachAlthough the constraints are costly, complex, inflexible and integrated BI infrastructures, it helps to combine the banking and electronic commerce (EC) application data. Furthermore, this paper explores cloud computing infrastructure as a potential remedy for data processing issues.FindingsA modern cloud computing with artificial intelligence, environmental climate to shorten periods for BI delivery, rising the expense of BI programs relatively with traditional BI of EC applications, provide customers with the ability for quicker rollout and better flexibility to incorporate research and to improve the performance, accuracy and efficiency.Originality/valueIn the technological world of today, the new era of BI analytical data management has been established with certain restrictions on the adoption of BI.

Electronic commerce as an introduction to the transformation of the knowledge economy – A field study on small projects in the Kingdom of Saudi Arabia –: التجارة الإلكترونية كمدخل للتحول لاقتصاد المعرفة - دراسة ميدانية على المشاريع الصغيرة بالمملكة العربية السعودية -

The study aimed to identify a shift from an oil economy to a knowledge economy by using electronic commerce for small projects, which is what the vision of the Kingdom 2030 seeks. However, small projects suffer from the inability to market in a way that allows them to succeed and advance the national economy, and to enter into global competition. The study was prepared to clarify the role of e-commerce for small enterprises in this transformation. The study relied on the descriptive-analytical approach and the distribution of a questionnaire to collect primary data and statistically analyze it, in which some of the statistical methods used in the SPSS program were used. The study concluded that electronic commerce is able to achieve marketing opportunities for small projects, and that small projects need to re-engineer their marketing operations (especially the marketing mix) in order to be able to apply electronic commerce, and indicated that electronic commerce is able to transform into a knowledge economy. A set of recommendations was proposed to activate e-commerce for small projects, including providing financial support, attention to bringing and training skilled workers trained in the proper application of e-commerce technology, re-engineering the marketing mix in a manner that allows the proper application of electronic commerce.

Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach

Cross-site account correlation correlates users who have multiple accounts but the same identity across online social networks (OSNs). Being able to identify cross-site users is important for a variety of applications in social networks, security, and electronic commerce, such as social link prediction and cross-domain recommendation. Because of either heterogeneous characteristics of platforms or some unobserved but intrinsic individual factors, the same individuals are likely to behave differently across OSNs, which accordingly causes many challenges for correlating accounts. Traditionally, account correlation is measured by analyzing user-generated content, such as writing style, rules of naming user accounts, or some existing metadata (e.g., account profile, account historical activities). Accounts can be correlated by de-anonymizing user behaviors, which is sometimes infeasible since such data are not often available. In this work, we propose a method, called ACCount eMbedding (ACCM), to go beyond text data and leverage semantics of network structures, a possibility that has not been well explored so far. ACCM aims to correlate accounts with high accuracy by exploiting the semantic information among accounts through random walks. It models and understands latent representations of accounts using an embedding framework similar to sequences of words in natural language models. It also learns a transformation matrix to project node representations into a common dimensional space for comparison. With evaluations on both real-world and synthetic data sets, we empirically demonstrate that ACCM provides performance improvement compared with several state-of-the-art baselines in correlating user accounts between OSNs.

Distributed signing protocol for IEEE P1363‐compliant identity‐based signature scheme

The identity-based signature (IBS) scheme is one of the most promising secure and widely used cryptographic primitives for electronic commerce applications. For example, ID-based signing in a multi-party setting, without ever revealing any private and secret information, has received considerable interest in distributed applications such as a global manufacturer. However, there is no practical solution for such a group setting (e.g. more than two parties). Therefore, in this study, the authors present the first distributed identity-based signing protocol for the global electronic commerce system. Specifically, the authors’ designed protocol allows a group of parties to generate the signature in a decentralised and fair manner. They also prove that their proposed protocol is secure against a malicious adversary under the discrete logarithm and decisional Diffie–Hellman assumptions. Moreover, they implement the protocol using the MIRACL libraries on physical computing devices. Findings from the evaluations demonstrate the practical utility of their proposed protocol, in terms of achieving high level of security within a reasonable time framework (e.g. signing time (including communication latency and waiting delay) takes 311.86 ms for three parties, 558.2 ms for five parties, and 707.21 ms for seven parties, under a single-thread implementation).

Aplicación de comercio electrónico para microempresas comerciales peruanas

Aplicación de comercio electrónico para microempresas comerciales peruanas

Impact of gaming habits on motivation to attain gaming goals, perceived price fairness, and online gamer loyalty: Perspective of consistency principle

Online games are popular electronic commerce applications that have a business model of selling gaming items to gamers. Such a business model helps gamers attain gaming goals while cultivating their gaming habits. Gaming habits can lead gamers to play games automatically, indicating their impact on gamers. However, little is known about how gaming habits affect gamers’ perceptions of the prices of the gaming items, goal-attaining motivation, and online gamer loyalty. Grounded in the consistency principle, we construct a framework to explain how gaming habits impact motivation to attain gaming goals, perceived price fairness, and online gamer loyalty. We collected 5,144 responses from online gamers and used structural equation modelling to test the research model. We found that gaming habits are positively related to motivation to attain gaming goals and perceived price fairness, which are further positively related to online gamer loyalty. Ours is the first study using the perspective of the consistency principle to examine the mechanism underlying the impact of gaming habits on online gamer loyalty. Our findings provide novel insights for electronic commerce managers that they could focus on enhancing perceived price fairness and motivation to attain gaming goals, thus establishing a loyal user base. Such findings could also apply to interactive hedonic systems, indicating their potential academic impact.

Application of Electronic Commerce and Competitive Advantage: A Case Study of Electrical Appliances Trading Companies in Baghdad

Application of Electronic Commerce and Competitive Advantage: A Case Study of Electrical Appliances Trading Companies in Baghdad