Commerce Systems Research Articles

The Technical Foundation of Modern Retail: A Deep Dive into API Architecture

API architectures, the foundation of contemporary commerce systems, are causing a major revolution in the retail sector. This thorough article looks at the technology advancements, implementation tactics, and architectural trends influencing the creation of retail APIs. In addition to exploring personalization engines, omnichannel integration, and performance optimization techniques, the article includes fundamental elements such as data integration layers, security frameworks, and microservices architectures. It shows how APIs help retailers maintain high-performance systems at scale, provide seamless cross-channel commerce, and provide tailored experiences. This article offers insights into creating reliable retail API designs that meet present requirements while staying flexible enough to accommodate future developments by thoroughly examining implementation patterns, security protocols, and reliability frameworks

Foreign Experience of Using Electronic Commerce Systems in Joint Stock Companies

Joint-stock firms' worldwide e-commerce growth is crucial to national economies, and Uzbekistan's strategic emphasis on the digital economy is expected to spur significant expansion. The country's e-commerce participation is still mostly domestic, despite advantageous conditions like internet availability and government assistance. This highlights a substantial knowledge gap in utilizing overseas markets. This study investigated international e-commerce models and their implementation in Uzbekistan using both theoretical and empirical approaches. The findings imply that although e-commerce infrastructure is growing, progress is being hindered by infrastructural and regulatory issues. Through improved digital trade, addressing these problems could promote global competitiveness and support sustainable economic development, both of which are in line with the "Digital Uzbekistan 2030" vision.

ICTS as Tools for Local Development: Santa Elena Province; A View from the SDGs

Introduction: Currently, there are social problems that affect humanity, one of them is the gap between knowledge of ICTs and their application in social networks for access to information in a timely manner in order to contribute to personal and professional development and contribution to the development of the community. The State provides opportunities based on programs, projects and strategies to direct aid and educate the population in the digital age. Objective: The research objective is to determine the way in which ICTs are used as tools for local - community development through the qualitative-quantitative approach to strengthen the development of the Amantes de Sumpa neighborhood in the Province of Santa Elena. Method: The methodological process applied in this topic is descriptive and deductive, as well as the types of documentaries, field; as well as the population that will be stratified in the neighborhood, which was investigated through the survey and the interview with the neighborhood leader. The reliability of the Likert-type instrument was also carried out by calculating Cronbach's Alpha, which was 0.833. Results and conclusions: The people participating in the research stated that it is important to develop care agreements, promote technological services, since access will allow improving the productive activities of entrepreneurs in the Amantes de Sumpa neighborhood, and promote an electronic commerce system that can be installed from public or community institutions in such a way that this serves for the permanent dissemination of the economic activities carried out by the neighborhood sector.

Using an extended technology acceptance model to understand the behavioral adoption intention of mobile commerce among Chinese consumers

The ubiquitous nature of mobile handsets is enhancing consumers’ shopping experience and thus encouraging extensive m-commerce adoption. The personality traits of the users of m-commerce vary and thus understanding the perspective of people to utilize mobile commerce systems is vital. This study thus examined the factors that drive Chinese consumers to adopt m-commerce. The Technology Acceptance Model (TAM) was utilized as the theoretical foundation while the analysis was completed with AMOS using structural equation model techniques. The results have demonstrated that perceived usefulness and perceived ease of use influence m-commerce adoption intentions. Also, service quality along with security, and privacy, were found to significantly drive mobile commerce adoption intentions. Perceived risk showed a significant but negative impact on adoption intentions of m-commerce. Familiarity showed a significant positive three-dimensional impact on PU, PEOU, and m-commerce adoption intentions. The theoretical and managerial repercussions of these results on m-commerce development and diffusion are discussed.

Impacts of Social Media Advertising on Purchase Intention and Customer Loyalty in E-Commerce Systems

The emergence of new technologies has had a noteworthy impact on communication systems, leading to the importance of conducting research in this area due to the significant influence of social media. Marketing operators must implement the necessary infrastructure to identify and fulfill customers' expectations, considering the advantages and the increasing number of users in social networks. This paper presents a comprehensive framework for evaluating the purchase intention of electronic commerce systems, taking into account the impact of social media advertising and customer loyalty. The paper aims to enhance purchase intention in e-commerce through social media advertising and examine influential factors that improve online shopping performance, including social media advertising's effectiveness on customer purchase behavior and brand loyalty. The paper develops a theoretical framework of nine hypotheses to evaluate purchase intention in e-commerce systems, with a focus on the effect of social media advertising on brand loyalty and purchase intention. To validate the proposed model and test the research hypotheses, we make use of information obtained from an international company located in China. The results demonstrate the positive effect of pleasurable motivation on purchase intention, with a significance level of 3.776 and a path coefficient of 0.279. Moreover, an investigation of the positive effect of customer loyalty on the recommended advertisement confirms the hypotheses, with a significance of 32.815 and a path coefficient of 0.788.

Verinote - Fake Currency Detection Using Convolutional Neural Network

The proliferation of counterfeit money poses a significant threat to financial systems and economies worldwide. To solve this problem, advanced technological solutions have emerged, such as the counterfeit money detection system “FCDS”. The system leverages advanced image processing, machine learning and data analysis techniques to identify counterfeit bills accurately and effectively [1]. FCDS works by analyzing various security features found on legal tender, including watermarks, security chains, holograms and microprinting. Using image recognition and pattern analysis, the system distinguishes between real and fake money. Machine learning algorithms play a central role in training systems to recognize the subtle nuances that counterfeiters try to reproduce. FCDS can be deployed in a variety of contexts, from banks and financial institutions to retail businesses, providing a robust and scalable solution to combat counterfeiting [1]. By quickly identifying fraudulent notes, it helps prevent economic loss and maintain the integrity of financial transactions. This summary describes the nature of counterfeit currency detection systems and its importance in maintaining financial security and confidence. Its integration into modern banking and commerce systems represents an important step towards a counterfeit-proof financial ecosystem.

Analisis Pelarangan Operasional Tiktok Shop Dalam Langkah Pengambilan Keputusan Melalui Perspektif Problem Tree Analysis

The controversial TikTok Shop case has become a hot topic of discussion lately. The violation committed by the TikTok company is combining online buying and selling platforms with social media platforms. Legally in Indonesia, this is considered illegal and has a negative impact on the sustainability of domestic MSMEs and causes various other problems. The government revised the old Permendag, namely No. 50 of 2020, which did not clearly emphasize the legal PMSE system in Indonesia, which also discussed the social commerce system. The issue of TikTok violating PMSE is an interesting thing to study regarding the relationship between the government's decision to issue a policy to stop TikTok Shop and its driving factors. Researchers use descriptive research methods with a qualitative approach. Literature study and documentation are data collection techniques used in this study. The data analysis technique used is the Problem Tree Analysis approach. While the focus of his research is on PMSE violations by TikTok Companies in Indonesia. From this research, it was found that there is an unclear legal and regulatory umbrella from government regulations regarding PMSE itself. And there are also various consequences caused by TikTok Shop violations that have fatal consequences on the country's economy and domestic MSMEs. For this reason, legal clarity must be paid more attention to by the government so that when there is increasingly rapid technological development as well as increasingly complex systems do not create problems due to technology gaps.

Comparative advantage of Num-mango industry in Vinh Long, Vietnam

The main objective of this study was comparative advantages analysis at social price of Num-mango in the export channels. The examination of the domestic resource cost per shadow exchange rate (DRC/SER) ratio provides insights into the comparative advantage of the trading system in the Num-mango industry. A comprehensive study was conducted, with a total of 317 observations, with a specific emphasis on the significant individuals in Vinh Long, Vietnam. The comparative advantage of the Num-mango commerce system was inferred from a DRC/SER ratio below one, which may be attributed to the existence of two distinct export channels. The DRC/SER in export channel 1 exhibited values of 0.55, 0.67, and 0.53 over the three seasons. In season 1, export channel 2 had a score of 0.42, which then was 0.79 in season 2. The value of export channel 2 had a consistent upward trend during season 3, reaching its highest point of 0.3. It is recommended that regulators and governments provide export-focused incentives that prioritize the maximum comparative advantage. This study examines the concept of comparative advantage within export supply chains, specifically in relation to a diverse selection of tropical fruits and vegetables. Furthermore, it provides empirical evidence that supports the applicability and reliability of the Ricardian model.

Collaborative commerce model for MSMEs and creative industries in Parepare to face industry 4.0 towards industry 5.0

Collaborative commerce model for MSMEs and creative industries in Parepare to face industry 4.0 towards industry 5.0

Rock and China: From Cui Jian to Second Hand Rose

Whether its mainland Chinas Hao Fang or Taiwans Zhang Tiezhi, they are both committed to constructing a resistance narrative to describe the rise and development of rock music. [1] Zhang Tiezhi believes that the emergence of rock music in mainland China has already carried the banner of enlightenment. [2] He also mentioned that rock music, together with poetry, films, the documentary River Elegy, and the book series Toward the Future, collectively constituted the enlightenment power of the chaotic era. [2] However, as part of the cultural mosaic of mainland China in the 1980s, how was rock music shaped, reconstructed, and utilized in the power system of commerce, culture, and politics? How does rock music interact and create tension with other cultural phenomena? With the tremendous changes in Chinese society in the 21st century, facing different historical contexts, has Chinese rock music also undergone changes? Unfortunately, Zhang did not delve into these questions seriously, and at the same time, mainland Chinese rock musicians have not included these questions in their thinking. This paper selects Cui Jian and the Second Hand Rose band as representatives of Chinese rock music in different periods. Through the theoretical perspectives of political philosophy, sociology, and history, it analyzes their lyrical texts and historical backgrounds, delving into Cui Jians unique understanding of revolution and capitalism as a rock superstar of the 1980s, and how this understanding has shaped the unique sensory structure of Chinese rock musicians. At the same time, this paper aims to provide some insights for the future development of Chinese rock music.

BLOCKCHAIN AS A MEAN ENHANCING INTERNATIONAL TRADE

The foundation of the world economy is the international commerce system, but it faces difficulties like fraud, inefficiency, and a lack of confidence. The transformational potential of blockchain technology to improve the international trade landscape includes paperwork, delays, and hazards that complex relationships between importers, exporters, financial institutions, and regulatory authorities. Blockchain presents itself as a revolutionary force that provides efficiency, security, and transparency. Blockchain's smart contracts speed up verification of letters of credit (LCs) in trade finance. The precise blockchain security contributes to safety and fraud prevention by thwarting unauthorized access and tampering. This study explores the case studies to determine how blockchain technology might resolve issues, speed up transactions, and restore confidence in the global commerce ecosystem. Blockchain’s use ultimately is able to reshape trade procedures, promoting a climate of dependability, transparency, and cooperative development.

Unlocking the Potential of Artificial Intelligence in Fashion Design and E-Commerce Applications: The Case of Midjourney

The fashion industry has shown increasing interest in applying artificial intelligence (AI), yet there is a significant gap in exploring the potential of emerging diffusion-modeling-based AI image-generation systems for fashion design and commerce. Therefore, this study aims to assess the effectiveness of Midjourney, one such AI system, in both fashion design and related commerce applications. We employed the action research approach with the Functional, Expressive, and Aesthetic (FEA) Consumer Needs Model as the theoretical framework. Our research comprised three stages: refining an initial idea into well-defined textual design concepts, facilitating concept development, and validating the preceding observations and reflections by creating a new line of hemp-based products that were evaluated by targeted consumers through an online survey. Findings reveal that this AI tool can assist fashion designers in creating both visually expressive attire and ready-to-wear products, meeting defined design criteria and consumer needs. Midjourney shows promise in streamlining the fashion design process by enhancing ideation and optimizing design details. Potential e-commercial applications of such AI systems were proposed, benefiting physical and digital fashion businesses. It is noted that, to date, the major limitations of using Midjourney encompass its restriction to only facilitating early fashion design stages and necessitating substantial involvement from designers.

Implementation of a Product-Recommender System in an IoT-Based Smart Shopping Using Fuzzy Logic and Apriori Algorithm

The Internet of Things (IoT) has recently become important in accelerating various functions, from manufacturing and business to healthcare and retail. A recommender system can handle the problem of information and data buildup in IoT-based smart commerce systems. These technologies are designed to determine users' preferences and filter out irrelevant information. Identifying items and services that customers might be interested in and then convincing them to buy is one of the essential parts of effective IoT-based smart shopping systems. Due to the relevance of product-recommender systems from both the consumer and shop perspectives, this article presents a new IoT-based smart product-recommender system based on an apriori algorithm and fuzzy logic. The suggested technique employs association rules to display the interdependencies and linkages among many data objects. The most common use of association rule discovery is “shopping cart analysis.” Customers' buying habits and behavior are studied based on the numerous goods they place in their shopping carts. As a result, the association rules are generated using a fuzzy system. The apriori algorithm then selects the product based on the provided fuzzy association rules. The results revealed that the suggested technique had achieved acceptable results in terms of mean absolute error, root-mean-square error, precision, recall, diversity, novelty, and catalog coverage when compared to cutting-edge methods. Finally, the method helps increase recommender systems' diversity in IoT-based smart shopping.

Factors that Influence the Utilization of Digital Transactions among the Micro-Business Enterprises in General Santos City

This study investigated the factors that influence the utilization of digital transactions among micro-business enterprises in General Santos City. The application of e-commerce services has rapidly increased in response to the pandemic. Moving toward business recovery, different types of literature have stressed how important the shift to digital technology is for businesses to thrive in the new normal. This study sought to investigate the factors that influence users' preferences for switching from traditional cash-based transactions to electronic commerce systems. The Push-Pull-Mooring Framework was employed as the research model. A descriptive and correlational analysis was conducted using data from 65 retail and 35 wholesale micro-business enterprises in General Santos City. The results indicated that the respondents’ intention to utilize digital transactions is significantly influenced by one push factor which is the transaction inconvenience, also by pull factors which include economic benefit, performance expectancy, effort expectancy, and critical mass, and by mooring factors including trust, perceived security and privacy, and switching costs. To achieve and sustain recovery, assistance, and support for relatively young and small companies might be prioritized in terms of utilizing e-commerce services as well as setting strong policies towards giving aid, especially to micro-business enterprises in developing digital infrastructures and complementing with these strategies is strengthening data privacy and security for these e-commerce services. This study concluded that the advantages that can be obtained from the utilization of e-commerce services, as well as external factors, impose significance on businesses.

An Empirical Analysis of Trust, Perceived Benefit, and Purchase Intention in C2C Electronic Commerce in China

With the popularity and development of the internet, China's consumer-to-consumer (C2C) electronic commerce (EC) system is favored by consumers. Therefore, understanding the relationship among consumers' trust, perceived benefits (PBs), and purchase intentions (PIs) is of great significance for studying this system. This article proposes the hypothesis of the interaction among the three and designs a questionnaire to explain the application of trust, PB, and PI in China's C2C EC system. The relationship between the sample structure and the variables is analyzed using reliability, validity, correlation, and regression analysis (RA). The experimental analysis results show that the questionnaire's reliability and validity values are higher than 0.8 and 0.75, respectively, indicating that the questionnaire design is qualified, and the data are valid. The rationality of the hypothesis proposed here is verified through correlation analysis and RA. This indicates a significant mutual influence relationship among trust, PB, and PI.

Optimization design of electronic commerce system based on the basic principles of software engineering

Based on the basic principles of software engineering, this paper optimizes the design of e-commerce system from the aspects of demand analysis, system design, coding, implementation, testing and maintenance. Specifically, this paper adopts the object-oriented software development method, using the UML modeling tools to model the system, adopted the MVC architecture mode to realize the stratification of the system, using the front-end technology such as HTML, CSS, JavaScript to realize the user interface design of the system, combined with the back-end technology such as Java, JSP, the Servlet system. Through the system test and the use of code quality control tools, the system is accepted, and the maintenance of the system is planned and designed. Finally, this paper realizes an easy-to-use, stable, safe and efficient e-commerce system.

Semantic web oriented personalized electronic commerce product suggestion system

With the studies on semantic web technology, the interest in this technology has increased over time. Today, the importance of data has increased to be used for purposes such as optimization, increasing user experience and improving. This increase has brought with it the need for readability of data. At this point, the semantic web has increased the readability of information by putting large data sets in a format that machines can interpret like humans. In this study, an electronic commerce system has been developed that can suggest related products to users by making use of the literature review in which semantic web technology is used. In the system development phase, firstly accepted ontology creation methods were examined, and a method was selected to create the needed ontology. Within the scope of the study, first, the capabilities of the semantic web to meet the technological needs are introduced. Then the semantic web and the technologies used in it are explained. In addition, the tools needed to develop applications with the semantic web are explained. Application development steps are explained in the study. Information about the successfully developed system is given and thus the use of semantic web is exemplified. Finally, suggestions were shared to improve the designed system. Due to the rapid developments in electronic commerce in recent years, it can be stated that this study is important.

Online Convenience Store System using Multidimensional Data Visualization

The explosion of e-commerce businesses has seen the growth number of the online businesses worldwide. Retailers nowadays are opting with e-commerce platform to manage and monitor the business activities which is considerably convenience such as visualizing the sales data. However, Serbaneka is still using traditional way to store the sales data such as in spreadsheet papers which lead to data loss or misplaced the sales record. The objective of this research is to study the current usage of e-commerce system among hostel students in UiTM Tapah. A preliminary survey was carried out by eight selected hostel students in order to generate a list of criteria based on students' previous experiences with e- commerce systems. The following objective is to develop a web- based convenience store system using multidimensional data visualization for Serbaneka UiTM Tapah. The System Development Life Cycle (SDLC) method is used in the development of Online Convenience Store System for Serbaneka UiTM Tapah. Besides, multidimensional data visualization is used as method in visualizing the sales data of Serbaneka UiTM Tapah. Other than that, this research is to evaluate the usability of the system using Post-Study System Usability Questionnaire (PSSUQ) approach. The PSSUQ evaluation is evaluated by three selected experts. The results of PSSUQ evaluation stated that the experts satisfied with the development of Online Convenience Store System using Multidimensional Data Visualization for Serbaneka UiTM Tapah. This is due to the system's ability to assist retailers Serbaneka UiTM Tapah in managing and monitoring the business activities.

Sogdian Traders Along the Silk Road: Causes for Their Commercial Success

The Sogdian traders were arguably the most important traders along the Silk Road from the 4th century to the 8th century. Their sphere of influence expands across Eurasia, and their trading partners include China and the Roman Empire. This paper will argue that there are some distinct reasons behind their success as merchants who built a massive political-economic system along the Silk Road. In this paper, the research will base on the famous Sogdian Ancient Letters, other archeological findings, and secondary literature by historians like Di Cosmo and De la Vaissire and investigate the causes of Sogdian merchants success in building a transcontinental commerce system. Furthermore, this paper will specifically explain how Sogdian merchants rose to prominence in cities such as Dunhuang and Turpan and gained commercial success in China, one of its greatest trading partners.

The impact of the digital divide of the Russian Federation regions on the e-commerce expansion

Subject. This article discusses the prospects for the development of electronic commerce in Russia. Objectives. The article aims to identify and systematize the factors that determine the development of digitalization, as well as compare federal districts in terms of the degree of involvement of the population in the electronic commerce system. Methods. For the study, we used the methods of logical, comparative, and statistical analyses. Results. The article finds that the leaders in the development of electronic commerce are regions that are characterized by a high level of digitalization of the economy, namely the Central, Northwestern, and Volga (Privolzhsky) Federal Districts. Conclusions. The digital competence of the Russian population is the main factor determining the development of electronic commerce.