E-commerce Technology Research Articles

An In-depth Analysis of Consumer Perceived Value and Expansion of Online Retailers in Metropolitan Kampala, Uganda

Purpose: This study aims to conduct an in-depth analysis of how consumer perceptions of value shape purchasing decisions and foster sustained expansion for online retailers in Metropolitan Kampala, Uganda. The study will identify the key theoretical foundations that anchor research on perceived value, provide actionable insights to guide online retailers in developing effective strategies for overall business growth and propose a future research agenda on Perceived Value. Methodology: This review process was organized on the three-stage method: planning, execution, and reporting. In the first stage, the study identified its purpose and selected its main source of data being peer-reviewed journals from EBSCOHost, Econlit, Google Scholar, Web of Knowledge, and Social Sciences Citation Index. During the execution stage, Consumer Perceived Value, Online Retailers, and e-commerce are the identified keywords to facilitate the search for data. Out of 63 publications obtained between 2015 and 2024, only 26 papers were examined after reading the abstracts. The findings were reported using tabulation and narration. Findings: The findings highlight how enhancing perceived value through effective e-marketing strategies, quality service, and personalized experiences can lead to increased customer engagement, retention, and ultimately, the successful adoption of e-commerce technologies. Dive in to discover how businesses can differentiate themselves in a competitive market by focusing on what truly matters to their customers. Technology Acceptance Model (TAM), service quality Theory (S.Q.T), and Unified Theory of Acceptance and Use of Technology (UTAUT) have been identified as the dominant theoretical framework in the study on consumer perceived value (P.V.). Implications: Businesses that effectively enhance perceived value through improved service quality, customer engagement, focus on creating a balanced approach to convenience, privacy, and build and maintain good relationships with customers can differentiate themselves in competitive markets. Exploring the constraints of the reviewed studies offers potential research directions. This study, therefore offers a complete perspective that advances both practice and research.

The Impact of Blockchain Technology on E-commerce Product Development: Case Studies of Walmart and LVMH

In the current digital era, the emergence of blockchain technology has profoundly impacted business models, especially in e-commerce. Blockchain technology brings new opportunities and challenges to product sales, transactions, and management. This study examines the impact of blockchain technology on the development of e-commerce products, particularly through the cases of Walmart and Louis Vuitton (LVMH). It demonstrates the application of blockchain and its effects on product traceability, anti-counterfeiting verification, data transparency and privacy protection. It was found that blockchain technology improves data security and user trust, reduces transaction costs, and enhances supply chain management efficiency. However, blockchain also needs help regarding energy consumption, performance bottlenecks, privacy protection, inconsistent technical standards, and unclear laws and regulations. It is necessary to take appropriate measures to reduce risks and ensure the effective application of technology. This study concludes with a series of recommendations to promote the effective application of blockchain technology in e-commerce to facilitate the e-commerce industry's sustainable development.

The Impact of Digital Transformation on Labour Demand Quantity and Structure: Evidence from China

While the impact of digital transformation on firms’ labour demand has attracted considerable attention, no studies have examined how different types of digital transformation impact different workforce labour demand. Using data from Chinese A-share listed manufacturing companies from 2013 to 2022, this study employs a two-way fixed effects model, the instrumental variable method and multi-temporal difference-in-differences analysis. The findings reveal that digital convergence technologies significantly increase manufacturing firms’ labour demand, whereas e-commerce technologies have no significant effect on employment. Furthermore, digitalisation has a negative effect on the demand for operative labour and a positive effect on the demand for skilled and service labour. The mechanism test reveals that digital transformation primarily substitutes labour through productivity effects and generates labour demand via financing constraints and business scope effects, ultimately increasing manufacturing firms’ labour demand. These results further enhance the understanding of how digital technology development impacts labour demand.

The Influence of Digital Literacy and Relative Advantage on E-Commerce Adoption through Digital Training and Mentoring among MSMEs in Jakarta

The Micro, Small and Medium Enterprises (MSME) sector has an important role in driving the country's economic development. In order for MSMEs to remain competitive with the growth of digital technology, they must be able to adapt to digitalization. Utilizing an e-commerce platform can provide information about which products are selling best and which products are not selling well. This data can be used to make decisions about inventory management, marketing, and more. Only 13% of MSMEs that utilize technology use e-commerce. The adoption of digital e-commerce technology among MSMEs in Jakarta is still uneven. This research aims to determine the influence of digital literacy and relative benefits on the adoption of digital e-commerce technology for MSMEs in Jakarta with digital training and mentoring as mediating variables. This research method is causal quantitative by collecting data using an online questionnaire to 399 respondents. The analysis technique used in this research is Sem with the help of the Smart-PLS program. The research results show that digital literacy and relative benefits influence digital training and mentoring, but not the adoption of e-commerce platform technology. Meanwhile, digital training and mentoring influences the adoption of e-commerce platform technology. The mediation results show that digital training and mentoring play a full mediating role in the relationship between digital literacy and the relative benefits of adopting e-commerce platform technology.

Blockchain and AI Technology Convergence: Applications in E-Commerce

The discovery of blockchain technology is considered capable of increasing data and transaction security. Everything recorded cannot be altered or changed retrospectively, making blockchain secure. Blockchain technology and artificial intelligence can be applied to various aspects, but this research review focuses on blockchain technology and artificial intelligence for e-commerce. E-commerce is buying or selling goods or services via a computer network. Currently, e-commerce has developed so rapidly that it has diverse business models and a variety of goods and services offered. E-commerce makes it easy to carry out transactions, but apart from all this, there are security problems in e-commerce transactions. This research aims to help future research by reviewing, organizing, analyzing, and synthesizing the application of blockchain technology and artificial intelligence to e-commerce. The method used in this research adopted the Kitchenham literature review method, which consists of three stages: planning, implementing, and reporting the review. The collection of articles is distilled into relevant articles about developments in blockchain technology and artificial intelligence for e-commerce. The results of this research are in the form of a summary of predictions that the use of blockchain in e-commerce will increase secure data related to transactions and feedback in e-commerce.

Acceptance of artificial intelligence technologies in business management, finance, and e-commerce: factors, challenges, and strategies

This research investigates the comprehensive acceptance of artificial intelligence (AI) in business management, finance, and e-commerce, focusing on the factors driving its adoption, the obstacles encountered, and strategies for enhancing integration. AI technologies have transformed these sectors, delivering exceptional efficiencies, predictive analytics, and personalized customer experiences. However, their acceptance is influenced by various factors, including technological readiness, organizational culture, and perceived benefits. In business management, AI improves decision-making processes, optimizes operations, and fosters innovation. Financial institutions utilize AI for risk management, fraud detection, and personalized banking services, while the e-commerce sector gains from AI through enhanced customer service, dynamic pricing, and inventory management. Despite these benefits, challenges such as data privacy concerns, high implementation costs, and resistance to change impede widespread adoption. Additionally, ethical considerations and the need for regulatory compliance add layers of complexity. This paper identifies key strategies to address these challenges, such as promoting a culture of innovation, investing in AI education and training, and developing robust data governance frameworks. Strategic partnerships and collaborations with AI experts and tech firms are also essential for navigating the AI landscape. By comprehensively addressing these factors and challenges, businesses can unlock AI's full potential, driving sustainable growth and competitive advantage. This study contributes to understanding AI acceptance in critical sectors, providing a roadmap for successful AI implementation and emphasizing the importance of strategic planning and stakeholder engagement.

Уровни цифрового неравенства: особенности проявления в Уральском федеральном округе

Introduction. Access to information, digital products and services contributes to reducing barriers in individual’s interaction with state, organizations, and other individuals, also providing opportunities for human development. The author assesses the digital inequality level of the constituent entities of the Ural Federal District.Materials and methods. Theoretically, the research is based on the concept of three levels of digital inequality, according to which inequality can be manifested at the level of access to Internet and information and communication technologies; at the level of the users’ digital skills and competencies; at the level of benefits obtained from the use of digital technologies and impacting individual life chances. The materials used are: statistical data of the Russian information society development monitoring, research on the digital literacy of the Russian population, conducted by the Analytical Center of the National Agency for Financial Research, the Russian Association of Electronic Communications, the Ministry of Digital Development, Communications and Mass Communications of the Russian Federation and the National Research University “Higher School of Economics”, as well as the results of an expert survey conducted by the author in 2023 with state civil servants of the Sverdlovsk region and employees of “Electronic government operator”, the state budgetary institution of the Sverdlovsk region.Results. The article reveals the specific features of digital inequality of the entities of the Ural Federal District. The geographical features of the region paradoxically affects the digital inequality level. The more compactly located territories of the Sverdlovsk, Tyumen and Chelyabinsk regions provide for the appropriate infrastructure with better broadband Internet access. A social consequence of low Internet access in the Yamalo-Nenets Autonomous Okrug is, in part, that not all medical organizations can be connected to the Integrated National Health Information System. In addition, there is no direct correlation between Internet access and digital skills development. On the contrary, remoteness and inaccessibility of territories act as drivers for the development of digital competencies of the Khanty-Mansi Autonomous Okrug and Yugra residents, who are more efficient in using digital technologies in e-commerce and public services.Discussions and conclusions. “Bridging the Digital Divide” federal program implementation will increase the information infrastructure availability. Conscious and focused effort is required to improve digital literacy and cyber hygiene of the population.

Інституціональні засади формування та розвитку стійкого ринку електронної комерції

This research examines the institutional aspects of developing a resilient e-commerce market in Ukraine. The institutional approach allows us to consider various aspects of formation, functioning, and changes within the social institutions and their influence of e-commerce solutions on individuals’ activities and social interaction. During the literature review, the various approaches to the essence of the institution as an economic category were considered. The author proposed considering the e-commerce institution as a socially formed system that structures interaction within the e-commerce market by implementing formal and informal rules that influence subjects’ activities by establishing restrictions and organizing motivational mechanisms that support the desired behavior to maximize the aggregate economic impact. The roles and functions of the leading institutional players, particularly state institutions, market institutions, research institutions, and public and non-profit institutions, are defined. The literature review determined that e-commerce adoption is significantly determined by the response to pressure from external agents (consumers and competitors) and internal agents (employees). The model of the institutional environment of the e-commerce system is presented. The proposed model is based on the interaction of e-commerce institutions that contribute to institutionalizing e-commerce technologies within the Ukrainian business environment. The institutional influence is being implemented by utilizing the interaction of the ‘business-government-society’ triad. Among the expected institutional effects of the general modernization of the socio-economic system, the harmonization of relationships between individual participants and the reduction of resource asymmetry can be highlighted. Three types of institutional pressures that influence the enterprises’ decisions to adopt and develop e-commerce systems are discussed, particularly coercive, regulatory, and mimetic types of pressure. The interaction of these types of institutional pressure thereby influences the enterprises’ perception of barriers and opportunities for adopting and utilizing e-commerce. Keywords: e-commerce, institutionalization, resilience.

Benefits and Practices of Social Media Marketing on Small-Medium Enterprises (SMES) in Subic Bay Metropolitan Authority

In the 21st century, e-commerce technology has garnered significant interest from researchers and management, driven by the internet’s rapid growth. This has enabled customers to personalize websites according to their preferences. This study aimed to identify the benefits that small and medium-sized enterprises (SMEs) can gain from using social media to interact with customers, focusing on social media marketing tactics and their advantages. It provided insights into the challenges faced by entrepreneurs in prominent urban areas within the Subic Bay Metropolitan Authority (SBMA) and the managerial requirements for ensuring consumer satisfaction. The study concentrated on six key areas: profiling SMEs based on specific elements, identifying primary social media platforms used by SMEs in Subic Bay, evaluating potential benefits for SMEs, assessing the extent of social media engagement by SMEs, gathering input on ethical standards in social media marketing, and developing “RJM 24-points Proposed Guidelines for Social Media Practices.” Employing a descriptive methodology, data were collected from 51 respondents via structured questionnaires and supplemented by random interviews with proprietors, IT personnel, and managers. Statistical techniques such as percentage, weighted mean, Likert scale, and ranking were used for data analysis. Key findings revealed that increased brand visibility and feedback were the most probable benefits, while accessibility and advertising were the most commonly used social media practices. Ethical practices emphasize maintaining honesty, transparency, and authenticity in marketing efforts. The study provided several recommendations for improving social media marketing approaches for SMEs. These included encouraging financial businesses to diversify their products or focus on niche markets, motivating entrepreneurs to start micro or small firms to leverage low entry barriers and market adaptability, and prioritizing support for early-stage companies to enhance their chances of long-term success and profitability. Keywords: Electronic Shopping, Small Medium Enterprises (SME’s), Social Media Marketing Practices, Special Economic Zones

The Influence of Artificial Intelligence on Readiness and Acceptance of Technology in E-Commerce

The use of artificial intelligence in e-commerce makes it easier for users to do online shopping. However, user data collection carried out by artificial intelligence in e-commerce can be misused. This is a shift in intention to adopt artificial intelligence in e-commerce. This study aims to identify the factors that impact the adoption of artificial intelligence in the field of e-commerce. The technology readiness model and the technology acceptance model are both utilized in this study. Data was collected from 283 students who have done shopping in e-commerce. The data collected will then be analyzed using SEM-PLS. The findings suggest that optimism, innovativeness, and discomfort have a role in shaping the acceptability of artificial intelligence in e-commerce, through the perceived ease of use and perceived usefulness. However, research findings suggest that there is no correlation between insecurity and the perceived ease of use and usefulness. The findings suggest that the way users view the ease of use, and the utility of artificial intelligence technology directly influences their acceptance of it in e-commerce, which is then through in their intention to use it. The result of this study can be used by online businesses to apply TAM and technology readiness models to maximize the use of AI in e-commerce.

The Influence of Customer Participation Towards Repurchase Intention with Online Brand Community Trust and Positive eWOM as Intervening Variables in BeautyHaul

E-commerce technology is advancing rapidly in Indonesia's personal care and cosmetics industries. BeautyHaul, the first personal care e-commerce company in Indonesia, aims to strengthen relationships with customers and increase their loyalty through consumer involvement in brand communities and word-of-mouth (eWOM) marketing which have the potential to increase repurchase intention. Data were collected from a sample survey of 155 respondents using purposive sampling method, which were analysed through Partial Least Squares-Structural Equation Modelling (PLS-SEM) and PLS-Predict. The coefficient of determination R2 indicates the influence of independent variables on repurchase intention is 44%. The analysis findings show that customer participation, positive electronic word-of-mouth (eWOM) and online brand community trust has positive and significant influence on repurchase intention on direct effect. The result shows that positive electronic word-of-mouth (eWOM) and online brand community trust also have positive and significant influence as mediators between customer participation and repurchase intention. Based on the findings of this study, BeautyHaul should concentrate more on boosting customer participation in order to strengthen repurchase intention.

Online Marketing Readiness of MSMEs in Indonesia: A Perspective of Technology Organizational Environmental Framework

Micro, Small, and Medium-sized Enterprises (MSMEs) play a crucial role in the economic landscape of tourism areas, offering collective services that enhance tourist experiences and convenience at destinations. One key effort to promote tourism is enhancing the technological readiness of MSMEs. This study aims to evaluate the preparedness of MSMEs to adopt e-commerce technology. Data was gathered through interviews and questionnaires distributed randomly to 184 business operators. The research utilized the Technology Organizational Environmental (TOE) framework, encompassing ten indicators identified from various sources. Data analysis was conducted using Structural Equation Modeling (SEM) with four hypotheses. The findings reveal that both organizational readiness and external environmental support have a positive impact on technology adoption readiness. Furthermore, organizational readiness significantly mediates the relationship between environmental support and technological readiness. Therefore, it is essential to develop the organizational readiness of MSMEs to facilitate the adoption of e-commerce technology.

Study on the mechanism of non-immersive VR technology's impact on consumer decision-making ——Take high-intervention goods for example

This study explores the impact of non-immersive VR in online real estate platforms on commodity consumption decisions. Non-immersive VR displays simulated environments on screens, with users interacting via keyboard and mouse. BEKE, a prominent Chinese real estate platform, introduced VR house-viewing in 2018, marking its the first user of this technology in e-commerce. This study deeply analyzes the effect of non-immersive VR on consumer decision time, using survival model, tendency matching, and Hecmann control function, to reveal its role in decision-making. The study aims to provide useful insights for the innovative development of the online real estate industry.

Performance Evaluation and Optimization of 3D Models from Low-Cost 3D Scanning Technologies for Virtual Reality and Metaverse E-Commerce

Virtual Reality (VR) is and will be a key driver in the evolution of e-commerce, providing an immersive and gamified shopping experience. However, for VR shopping spaces to become a reality, retailers’ product catalogues must first be digitised into 3D models. While this may be a simple task for retail giants, it can be a major obstacle for small retailers, whose human and financial resources are often more limited, making them less competitive. Therefore, this paper presents an analysis of low-cost scanning technologies for small business owners to digitise their products and make them available on VR shopping platforms, with the aim of helping improve the competitiveness of small businesses through VR and Artificial Intelligence (AI). The technologies to be considered are photogrammetry, LiDAR sensors and NeRF.In addition to investigating which technology provides the best visual quality of 3D models based on metrics and quantitative results, these models must also offer good performance in commercial VR headsets. In this way, we also analyse the performance of such models when running on Meta Quest 2, Quest Pro and Quest 3 headsets (Reality Labs, Reality Labs, CA, USA) to determine their feasibility and provide use cases for each type of model from a scalability point of view. Finally, our work describes a model optimisation process that reduce the polygon count and texture size of high-poly models, converting them into more performance-friendly versions without significantly compromising visual quality.

Technology roadmapping for the e-commerce sector: A text-mining approach

Due to rapid technological advancements and shifting consumer dynamics, the e-commerce industry has undergone rapid transformation. Further, emerging technologies, including artificial intelligence, blockchain, and augmented reality, have the ability to revolutionize the e-commerce landscape. However, limited studies have mapped the technological evolution in the e-commerce sector. Therefore, this study offers a multi-faceted forecast of e-commerce technologies by combining patent analysis, semantic network analysis, and topic modelling approaches. The study analyzes 4113 patents and categorizes them into two time periods: 2001–2012 and 2013–2023. This study constructs co-word maps, defines the relationships between the words, and examines how the co-word relationships have changed over the time period. In the period between 2001 and 2012, the patents are categorized into four clusters: information processing and communication technologies, product purchase and sale management, e-commerce systems, and digital transaction and security management. For the period spanning between 2013 and 2023, the patents are classified into seven clusters: user experience, integrating devices, product information management, e-commerce infrastructure, advanced e-commerce authentication, pricing and payment solution, platform development, and e-commerce optimization. It aims to bridge theory and practice by developing a roadmap of near-, mid-, and far-future e-commerce technologies. The study highlights implications for practice and theory.

Blockchain as a Facilitator For Secure Migration: A Case Study of E-Commerce in Indonesia

Objective: The objective of this study is to investigate the role of blockchain technology as a facilitator for secure data migration in the Indonesian e-commerce sector, with the aim of Amidst the growing concerns over data security and privacy in online transactions, blockchain emerges as a potential solution due to its inherent characteristics of decentralization, transparency, and immutability. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. this study delves into the multifaceted role of blockchain technology in e-commerce, particularly focusing on enhancing data security and fostering consumer trust, a critical concern in the digital marketplace. Method: The methodology adopted for this research comprises a qualitative approach, utilizing case studies of Indonesian e-commerce platforms to examine how blockchain technology can enhance data security during migration processes. Through in-depth interviews and document analysis, the study explores the current challenges faced by e-commerce platforms in managing data security and how blockchain integration can address these issues. The results obtained that blockchain technology not only strengthens data security but also fosters trust among users, which is crucial for the growth of e-commerce. Results and Discussion: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of The study also identifies the barriers to blockchain adoption, including technological complexity and regulatory uncertainties. Originality/Value: This study contributes to the understanding of blockchain applications in e-commerce, particularly in the context of a developing country, and provides insights for businesses and policymakers in adopting blockchain for secure data management.

Improving The Practice of Real Estate E-Auction in Malaysia: An Exploratory Study

Nowadays, internet auctions are employed instead of traditional auction procedures. This is attributed to information and computer technology advancements, e-commerce technologies, a vast catchment market, and other considerations. The online real estate auction has been used globally and in Malaysia. The High Court of Malaya now uses the E- Auction System for public real estate auctions in Malaysia. However, E- Auction practice in Malaysia has been asked to be discontinued since it interferes with the auctioneer's profession, and bidder data privacy has been compromised, potentially resulting in losses for bidders and others. This research aims to improve the current practice of real estate E- Auctions in Malaysia, with a particular emphasis on the High Court of Malaya E-Auction. Thus, the research objective to be met is to propose the improvements to the practice of real estate E-Auction in Malaysia. Meanwhile, the methodology for this research is based on primary data, which includes journal, book, conference, and seminar papers, by provides a set of questionnaires to the respondents from the public, bidders, and auctioneers themselves. The questionnaire was circulated using Google Forms, and two hundred fourteen (214) individuals participated in the survey as panel in the auction sector. The acquired data would be analysed using descriptive, crosstab, and content analysis. As a result, the research discovered a need to strengthen the auction industry, particularly the E-Auction System High Court of Malaya, in order to guarantee that the real estate auction sector remains relevant and contributes to Malaysia's economic development.

Effective Application of Computer Network Security Technology in E-commerce Operation and Maintenance

As an important part of the modern economy, the security of e-commerce operation and maintenance directly affects the business continuity of enterprises and the trust of users. This paper explores the application of computer network security technology in operation and maintenance, analyzes existing technologies and actual cases, evaluates its effects, and looks forward to future development trends. The paper shows that the use of advanced network security technology can significantly improve the security and reliability of e-commerce systems.IntroductionIt has developed rapidly around the world and has become an important way for people to shop and for enterprises to operate e-commerce. However, the booming development of e-commerce also inevitably brings serious security threats, including data leakage, hacker attacks, and malware. In order to ensure the normal operation of e-commerce systems and the security of user data, the application of computer network security technology is extremely important. This paper aims to systematically explore the actual application effects of these technologies in e-commerce and provide reference for future research and practice.

Effective Application of Computer Network Security Technology in E-commerce Operation and Maintenance

As an important part of the modern economy, the security of e-commerce operation and maintenance directly affects the business continuity of enterprises and the trust of users. This paper explores the application of computer network security technology in operation and maintenance, analyzes existing technologies and actual cases, evaluates its effects, and looks forward to future development trends. The paper shows that the use of advanced network security technology can significantly improve the security and reliability of e-commerce systems.IntroductionIt has developed rapidly around the world and has become an important way for people to shop and for enterprises to operate e-commerce. However, the booming development of e-commerce also inevitably brings serious security threats, including data leakage, hacker attacks, and malware. In order to ensure the normal operation of e-commerce systems and the security of user data, the application of computer network security technology is extremely important. This paper aims to systematically explore the actual application effects of these technologies in e-commerce and provide reference for future research and practice.

ADOPTION OF E-COMMERCE TECHNOLOGY AMONG WOMEN ENTREPRENEURS IN COIMBATORE DISTRICT: A UTAUT 2 PERSPECTIVE

The COVID-19 pandemic has significantly accelerated the adoption of e-commerce technology across various sectors, including among women entrepreneurs. Many women entrepreneurs have shifted their businesses online to adapt to changing consumer behaviors and restrictions on physical retail during the pandemic. This shift has been particularly evident in sectors such as retail, fashion, food, and handicrafts. This study focuses on E-commerce Technology adoption by women entrepreneurs in Coimbatore district, Tamilnadu. The questionnaire was framed based on The Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) framework to analyze the acceptance and use of e-commerce technology among women entrepreneurs and to study various constructs that encouraged women entrepreneurs to adopt and use e-commerce. It is seen the construct- behavioral intention to use technology and facilitating conditions were found to have a significant influence on women entrepreneurs to use e-commerce applications and all other constructs have influence on one another and have an greater impact on women entrepreneurs to adopt and use e-commerce technology. KEYWORDS: UTAUT 2, Women entrepreneur, E-commerce, Technology