E-commerce Practices Research Articles

Navigating the Social Shift: A Preliminary Study of Consumer Behavior on Malaysia's Social Commerce Platforms

The proliferation of online businesses coupled with the advancement of information and communication technologies (ICT) has led to the emergence of social commerce. The integration of social media platforms into e-commerce offers businesses a convenient avenue for engaging with consumers and a novel method for capturing additional sales volume. This seamless integration of social media platforms into current e-commerce practices has significantly increased its success. Research on the factors that affect purchase intentions in social commerce is still sparse, especially in the context of Malaysian consumers. In general, the causal model of purchase intentions on social commerce in this study aims to investigate the impact of the constructs of visibility and metavoicing on purchase intentions among Malaysian millennial consumers. Henceforth, this initial study specifically aims to evaluate the reliability and validity of the IT affordance constructs of visibility and metavoicing through rigorous assessments. At the items-construct level, the internal consistency assessment was conducted using McDonald’s Omega, which is known for its robustness in measuring the reliability of multi-item constructs. At the construct level, discriminant validity and the strength of linear relationships among variables were assessed using Pearson correlation analysis. The pilot dataset gathered was analyzed with SPSS 29, and the results have validated that the predictive model achieved high levels of reliability and validity at both the item and construct levels. Furthermore, the analysis revealed that the independent variables, metavoicing and visibility, have a significant association with purchase intentions, underscoring their importance in understanding consumer behavior.

Realizing Justice and Maṣlaḥah in E-Commerce: Fiqh Muamalah Insights and Challenges in Malaysia and Indonesia

This study explores how fiqh muamalah principles can realise justice and maṣlaḥah in e-commerce practices, focusing on the understanding and behavior of consumers and producers in Malaysia and Indonesia. The research investigates how these Islamic legal principles are integrated and practised within the digital marketplace. The primary data sources include e-commerce users from Malaysia and Indonesia, specifically consumers and producers. Data were collected through in-depth interviews with various e-commerce users, including consumers and producers. The results reveal that producers generally have a higher awareness of justice and ma maṣlaḥah in e-commerce, though their application of these principles varies. Consumers' experiences are inconsistent, often influenced by their educational background and exposure to Islamic commerce teachings. Key challenges include the lack of standardized guidelines and divergent interpretations of fiqh muamalah principles. The study underscores the need for more structured education and regulatory frameworks to ensure these principles' effective and consistent integration into e-commerce practices. Recommendations include developing comprehensive training programs and establishing clear guidelines to bridge the gap between understanding and practice, thereby aligning e-commerce practices in Malaysia and Indonesia with fiqh muamalah principles.

E-Commerce Liability to Consumers For the Sale of Black Market Products

The rapid expansion of e-commerce has significantly transformed consumer purchasing behaviors, but it has also given rise to the sale of black market goods through online platforms, raising critical concerns about consumer protection and regulatory oversight. This study investigates the responsibilities of e-commerce platforms regarding the sale of black market products and evaluates the effectiveness of legal and regulatory frameworks currently in place. Adopting a normative juridical research method, this study involves a thorough analysis of existing laws, regulations, and industry standards pertaining to e-commerce and black market transactions. By examining legal texts, regulatory guidelines, and case law, this research identifies gaps in the current legal framework and assesses its adequacy in addressing black market activities. The results indicate that while legal provisions exist, they are often insufficiently enforced and lack clarity in their application to emerging e-commerce practices. The study concludes that e-commerce platforms must advocate for stronger legal reforms and clearer regulations to enhance consumer protection. Additionally, improved transparency in platform policies and heightened regulatory scrutiny are necessary to better address the challenges posed by black market goods. Future research should explore the development of more comprehensive legal strategies and frameworks to effectively combat black market transactions in the digital realm.

Vulnerability of Gen-Z to E-Commerce Deception on Consumer's Belief Categories in Online Product Recommendations Systems

Purpose: Despite the convenience of the Online Product Recommendation (OPR) system, concerns persist regarding deception practices in online shopping, especially among consumers from the Generation Z demographic cohort, for which less attention has been given in the previous literature. Methodology/Approach: The impact of independent variables, namely Perceived Usefulness, Perceived Enjoyment, and Perceived Risk, on Susceptibility to e-commerce fraud among Gen Z consumers has been studied. By conducting a mall intercept survey in four major metropolitan cities in India with a usable sample of 488 responses, the study empirically tested the data using SmartPLS 4.0. Findings: The study concludes that Perceived Usefulness and Enjoyment positively influence continuous usage intention, while Perceived Deception and Perceived Risk are negatively connected with continuous usage intention. It depicts that the Gen Z consumer's belief categories formed during their early years as digital natives sharpen their alertness to deception practices. Research Limitation/Implication: The study may not be generalised to represent Gen Z consumers as it collected data only from those who visited malls in the metropolitan cities of India. Originality/Value of paper: This paper exclusively investigates the interrelation of belief categories to continuous usage intention. Further, the intersection of perceived Deception is proved in light of the E-commerce practices.

Cosmetic Shop Sentiment Analysis on TikTok Shop Using the Support Vector Machine Method

User reviews are crucial in today's digital world for determining a product's quality. Nevertheless, these remarks are frequently disorganized and erratic, which confuses people and makes it challenging for them to make wise purchases. The erratic character of these reviews breeds uncertainty and makes determining a product's actual value more difficult. To help consumers more effectively evaluate and select products on platforms such as TikTok Shop, this study uses sentiment analysis tools. It hopes to accomplish this by improving the overall shopping experience and empowering customers to make more confident and informed selections. This research aims to assist consumers in evaluating and selecting products on TikTok Shop, an online shopping platform, by employing sentiment analysis techniques that help consumers make more informed decisions. In this study, a total of 500 comments from TikTok Shop users were collected as data. 350 comments have been set aside for training and 150 comments were set aside for testing. Data was gathered employing scraping, an automated process that makes use of the Python library's Selenium module to retrieve data from the internet. We employed the Support Vector Machine approach, an efficient machine learning tool for text classification, to assess the comments. 121 comments were categorized as having positive sentiment and 29 as having negative sentiment based on the test results. The system successfully recommended the "Ourluxbeauty" cosmetics store as a shop with many positive sentiments, indicating a recommendation level of 0.7 on the positive sentiment scale. The system's accuracy was measured using a Confusion Matrix, resulting in an accuracy rate of 78% and an inaccuracy rate of 22%. This demonstrates that the system can accurately classify comment sentiments and has significant potential for application in e-commerce practices to enhance the online shopping experience.

THE URGENCY OF REGULATING THE MISUSE OF PERSONAL DATA POSSESSION BY E-COMMERCE FROM THE PERSPECTIVE OF COMPETITION LAW

The era of the digital economy has increased global trade transactions, giving rise to e-commerce companies that utilize the internet, websites, and applications to carry out trading activities in goods and services. This transformation has led to a change in viewing personal data as a commodity, so that e-commerce practices often take possession of personal data. Departing from this background, this study analyzes how the existing business competition law provisions anticipate the mastery of private data by e-commerce. This study uses a normative juridical method, with a legal-statutory approach and a conceptual approach. The results of the study show that mastery of personal data is indeed permitted in the Personal Data Protection Law, but it is necessary to pay attention to its impact on e-commerce business competition in Indonesia. The practice of controlling personal data has the potential to be misused and can result in monopolistic practices and/or unfair business competition. Current business competition legal instruments and the Business Competition Supervisory Commission (KPPU) are still limited in conducting investigations related to the practice of mastery of personal data by e-commerce which involves market advertising, definition of the e-commerce market, measuring market power, and reviewing mergers. It is necessary to formulate separate regulations regarding the prohibition of controlling personal data which can result in monopolistic practices and/or unfair business competition, both in the revision of the Business Competition Law and other related regulations.

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.

Assessing the E-Commerce Sustainability Readiness: A Green Logistics Study on Online Sellers

The increasing trend of technological advancement has led to significant changes in how customers purchase goods. Currently, buying products can be done most effectively from the comfort of one’s home through online shopping. Customers send and receive thousands of shipments daily, contributing to many materials and packaging that go to waste. While environmental sustainability is becoming increasingly important in all industries, little is known about the factors that drive e-commerce enterprises to adopt green logistical practices. The current study aims to identify the factors that have the most significance in creating sustainable e-commerce in the future of logistics and marketing. This study performed a statewide online seller survey in the Philippines to acquire data on product characteristics, including how internal processes and external partnerships are used and perceived to minimize the carbon footprint connected with order fulfillment and delivery. It encompassed a sample of 286 online sellers nationwide and employed structural equation modeling to identify the factors influencing green logistics practices within the e-commerce industry. The findings underscore that technology has a positive relationship in fostering sustainability. The results also establish significant positive correlations between sustainable e-commerce practices, government laws, seller behavior, and reverse logistics. Notably, this research sheds light on the intricate dynamics of drivers promoting green logistics within the Philippine e-commerce landscape.

Implementation of Consumer Personal Data Protection in Ecommerce from the Perspective of Law No. 27 of 2022

This research aims to analyze the implementation of the Personal Data Protection Law (PDP Law) No. 27 of 2022 in the e-commerce sector in Indonesia, with a focus on consumer data protection. The method used is normative juridical, focusing on analyzing relevant documents and regulations to outline the legal framework and its application in e-commerce practices. Sources of legal materials include laws and regulations, academic literature, and interviews with legal experts and e-commerce practitioners. The results show that e-commerce companies have made significant adjustments to comply with the PDP Law, including improved privacy policies and investments in data security technologies. However, challenges to the full implementation of the PDP Law remain, particularly regarding consumers' and companies' awareness and understanding of the rights and obligations stipulated in the PDP Law. While there has been an increase in consumer trust in e-commerce platforms, increasing consumer awareness and active participation in the protection of their data still requires further efforts. The implication of this study is that the PDP Law No. 27 of 2022 has provided a stronger and more comprehensive legal framework for consumer data protection in Indonesia's e-commerce sector. However, to maximize the effectiveness of this law, a concerted effort is needed between regulators, the e-commerce industry, and the wider public to improve education and awareness of personal data protection, as well as ongoing adjustments to data management practices by e-commerce companies.

Design and development of an automated product-fetching platform for electronic orders

We present "E-shopaholic," an innovative e-commerce platform that integrates advanced automation techniques to optimize the online shopping experience. "E-shopaholic" exploits automation to address challenges of traditional e-commerce systems, particularly in order-picking. Leveraging the Internet of Things (IoT), "E-shopaholic" employs a NodeMCU ESP8266 module and a servo motor to simulate the picking and placing of products, aiming to contribute to the evolution of efficient e-commerce operations through automation. The platform, with its real-time automated order processing and updates, aims to enhance operational efficiency by lowering order processing times, increasing accuracy, and improving the overall order fetching process. The system design and implementation are discussed in detail, highlighting the potential of IoT and automation to transform e-commerce practices. "E-shopaholic" serves as a proof of concept for scalable and cost-effective solutions in the e-commerce sector, suggesting a path forward for research and development in automated systems.

The Construction and Implementation of a Cross border E-commerce Talent Training Mechanism for Business English Empowered by Digital Intelligence

The Construction and Implementation of a Cross border E-commerce Talent Training Mechanism for Business English Empowered by Digital Intelligence Abstract: The business English application-oriented talent training mode under the digital intelligence empowerment is to train business English talents with language+cross-border e-commerce practice+cross-cultural communication skills, which is in line with the national development strategy of "new liberal arts", "interdisciplinary" and "the Belt and Road". Through the linkage between schools and enterprises, the training mechanism adopts a cross integration approach of virtual context+ thinking activities +application activities by collaborating with enterprises to build a small seed studio. The course mechanism can deeply integrate experimental courses with other related courses, organically combine project-based learning with personalized training, explore students' comparative advantages, and create a full process and multi-stop teaching practice center. The course mechanism can cultivate the talent with national confidence, innovative concepts and risk awareness by promoting efficient collaboration between business English language courses and professional courses in terms of instrumental, humanistic, and business aspects.

Research on cross-border e-commerce practical teaching for students majoring in economics and trade: Taking the School of Business at the College of Humanities & Information Changchun University of Technology as an Example

With the accelerated development of global economic integration, the growth of cross-border e-commerce transaction scale, and the support of national policies for cross-border e-commerce, the demand for cross-border e-commerce talents by various cross-border e-commerce enterprises has rapidly increased. Students from various universities have gradually realized that cross-border e-commerce is a good job opportunity. Based on the above reasons, the School of Business at the College of Humanities & Information Changchun University of Technology has timely adjusted its talent training program, carried out integration of industry and education School enterprise cooperation, construction of cross-border e-commerce practice teaching base, establishment of cross-border e-commerce practice teaching platform, active participation in various cross-border e-commerce competitions, two-way cooperation between schools and enterprises, and construction of a practical teaching system that adapts to social development have achieved mutual benefit and win-win situation among schools, enterprises, and students.

AI in E-commerce: Reviewing developments in the USA and their global influence

The integration of Artificial Intelligence (AI) in the field of E-commerce has witnessed significant developments in the United States, subsequently influencing global trends and practices. This study explores the recent advancements and their broader impact on the E-commerce landscape. In the USA, AI technologies have become integral to enhancing customer experiences and optimizing operational efficiency in E-commerce platforms. Machine learning algorithms are increasingly employed for personalized recommendations, creating a more tailored shopping experience for users. Natural Language Processing (NLP) applications enable improved customer interactions through chatbots and virtual assistants, streamlining customer service processes. Furthermore, AI-driven predictive analytics has revolutionized inventory management and demand forecasting, allowing E-commerce businesses to optimize stock levels, reduce costs, and minimize out-of-stock situations. This data-driven approach not only enhances operational efficiency but also contributes to a more sustainable and resilient supply chain. The influence of AI in the USA has transcended domestic boundaries, shaping global E-commerce practices. As American E-commerce giants implement cutting-edge AI technologies, other nations look to adopt similar strategies to remain competitive in the global market. The adoption of AI is particularly pronounced in emerging E-commerce markets, where technological advancements play a pivotal role in leapfrogging traditional retail models. Despite these advancements, challenges such as data privacy concerns and ethical considerations surrounding AI algorithms persist. Striking a balance between innovation and responsible AI implementation is crucial to ensuring sustained growth and societal trust in E-commerce platforms (Ilugbusi et al., 2020). AI has become a transformative force in the USA's E-commerce sector, triggering a ripple effect on a global scale. As the technological landscape evolves, a comprehensive understanding of the developments in the USA provides valuable insights for E-commerce stakeholders worldwide, guiding them in harnessing the full potential of AI for future growth and innovation.

Computer Vision Based Multimedia Advertising Effect Enhancement Strategy in E-Commerce Practice

Abstract In the context of today’s Internet-developed era, novel advertisement design is part of the enterprise marketing means. To improve the effectiveness of multimedia advertising on e-commerce practices, the study developed a multimedia advertising design system based on a generative adversarial network. The study proposes a generative adversarial network mechanism for computer vision technology, constructs an intelligent generation model of advertisement images using the generative adversarial network, designs a multimedia advertisement image interaction system, and explores the visual communication effect of multimedia advertisements. In order to test the significance of the advertisement image generation model for the display of advertisement images, a performance comparison test is conducted with other image generation models, and then the multimedia advertisement proposed in this paper is put into e-commerce practice. The study shows that the advertisement image generation model can accurately generate multimedia advertisement images, and the generation of multimedia advertisements based on the antagonistic network has a significant effect on the pleasant mood of e-commerce customers (p>0.005). Therefore, the multimedia advertising enhancement strategy proposed in this paper is conducive to mobilizing customers’ positive mood in e-commerce, and its practical effect is significant.

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

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

E-commerce user's intention to switch toward drone delivery innovation: The role of environmental concern and customers' attitude

<p>Environmental concern is a determinant in acquiring new green innovation. We aimed to investigate the relationship between environmental concern, consumer attitude, and behavioral intention to switch in the context of drone delivery. The motivation that comes from a green perspective is believed to create a behavior that is also keen on innovative green products. One of the examples is the implementation of drones in delivering parcels, which is believed to cut the carbon footprint. Our purpose was to analyze the direct impact of environmental concern on consumers' behavioral intentions regarding e-commerce drone delivery. Additionally, we aimed to examine the mediating role of consumers' attitudes toward innovation in the relationship between environmental concern and behavioral intention. We sought to provide insights into how environmental awareness and the adoption of innovative delivery technologies like drones can influence consumer behavior, contributing to more sustainable and eco-friendly e-commerce practices. Structured questionnaires were provided to e-commerce users, reliability and validity tests were confirmed, and structural equation modeling (SEM) was used to analyze the relationships among variables. The results of the SEM analysis proved that environmental concern and consumer attitudes have a positive impact on behavioral intention. Customer attitude mediates the relationship between environmental concern and behavioral intention. This research provides a deeper understanding of how environmental concerns influence consumer behavior towards drone delivery innovation within the e-commerce sector. The implications integrate environmental concerns with consumer behavior and innovation adoption, providing a comprehensive view that goes beyond traditional marketing and consumer research.</p>

The Impact of E-Commerce Practices on Local Product Purchase Intention: a Moderating Factors Research

The Impact of E-Commerce Practices on Local Product Purchase Intention: a Moderating Factors Research

Perlindungan Hak Konsumen Pada Penggunaaan E-Commerce: Perspektif Hukum Syariah Islam

In Indonesia , there is a Consumer Protection Law as an effort to guarantee consumer protection in online transactions, especially in e-commerce. This research aims to examine muamalah's legal views regarding consumer rights amidst the widespread use of e-commerce. This research is normative legal research which includes a statutory approach (statue approach) and a case approach, which in obtaining legal materials is carried out through literature study. Based on the research results, it is known that the practice of e-commerce in the business world is seen as a form of digitalization of buying and selling which according to Islamic sharia is permitted provided that it follows sharia principles and applicable legal regulations, especially in fulfilling consumer rights and protection. Researchers will examine Islamic legal views on e-commerce transactions and find out how consumer rights are fulfilled in the e-commerce system.

Green products wrapped and delivered: consumer’s preference for sustainable e-commerce practices

ABSTRACT With the rapidly growing online sales, e-commerce firms in emerging economies like India risk unsustainable practices such as the relentless consumption of goods, increased plastic and paper packaging, or inefficient delivery options that increase fuel consumption. To maintain a favorable corporate image amongst consumers, online firms possibly adopt various mechanisms to signal consumers’ adoption of sustainable practices. Such practices by firms may involve implementing sustainability practices in doorstep delivery, packaging, and product selection to influence consumers’ buying preferences. This research uses a structured survey approach to explore the impact of three sustainable practices implemented by an e-commerce firm on the consumer’s intention to purchase from such a firm. Using a dual theory perspective of the theory of consumption value (TCV) and the theory of planned behavior (TPB), the study demonstrates the impact of the belief of environmental risks on consumers’ intentions to purchase from such e-commerce firms with sustainable practices. The data findings from 301 Indian e-commerce consumers suggest that consumers with a higher belief of environmental risks display a higher degree of tolerance for the inconvenience of order delivery and sustainable product purchase intentions, further influencing their intentions to purchase from e-commerce firms with sustainable practices. However, the preference for sustainable packaging does not impact intentions to purchase from e-commerce firms with sustainable practices. The study discusses the implications for online e-commerce retailers and policymakers and informs online e-commerce consumers’ choices.

Research on the Construction Path of Hybrid "Golden Course" in Cross-Border e-Commerce Practice

This article discusses the construction path of a hybrid "Golden Course" in cross-border e-commerce practice. It emphasizes the objectives, positioning, content, general design, teaching method reform, assessment and evaluation methods, and the follow-up construction of the golden course. The article also highlights the development of multilingual materials and online teaching videos, curriculum application promotion plan, and the consolidation of the teaching mode of "post + class + competition + certificate."