Evolution Of E-commerce Research Articles

A Study on Strategic Approaches to Efficient Sustainable Logistics

With the fast evolution of eCommerce, logistics is vitally involved in ensuring-with due efficiency-the movement of goods from the seller to the buyer. In an environmental sense, such efficiency would mean cost and time optimization, matching expectations of swift, timely product delivery. However, with growing environmental concerns, the need for sustainable logistics becomes no less critical. This research will dwell on strategic paths to balancing logistics efficiency with sustainability, leveraging state-of- the-art technologies such as Artificial Intelligence and automated route optimization. The study further proposes the integration of electric vehicles and green logistics practices in the sector of e-commerce, especially in the Delhi NCR region. It will quantify, through qualitative analysis, the effect that these techniques have on the environmental performance of sustainable logistics-such as carbon footprint reduction and general economic efficiency. Key Words eCommerce logistics, Sustainable logistics, Artificial intelligence (AI), Automation in logistics, Electric vehicles, Carbon emissions reduction, Route optimization, Eco-friendly packaging, Logistics efficiency, Environmental sustainability

Proposed Dashboard Concept for TUS MART: Enhancing Aquaponic and Hydroponic Sales Management Using the Innovation Canvas Method

The rapid evolution of e-commerce has transformed agricultural operations, prompting Telkom University Surabaya to develop TUS MART, an e-commerce platform designed for managing and selling aquaponic and hydroponic products cultivated by the university. However, TUS MART faces challenges such as inadequate data management, limited user interface intuitiveness, and inefficiencies in sales tracking and customer relationship management. This research proposes a comprehensive dashboard for TUS MART, developed using the Innovation Canvas Method, which aligns with both user needs and business objectives. The methodology involved phases like "Explore," "Ideate," "Market," "Design," and "Value Proposition," ensuring that the dashboard meets essential performance standards while addressing critical risks. The resulting dashboard enhances real-time inventory tracking, sales analytics, and customer management, contributing to TUS MART’s operational efficiency, sustainability, and educational objectives. This study highlights the successful application of innovative design frameworks in developing user-centered e-commerce solutions that integrate technological and agricultural advancements.

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.

Critical Analysis of Liability of Internet Service Providers for Indirect Patent Infringement

With the rapid evolution of e-commerce, existing Chinese laws have struggled to keep pace with complex issues arising from digital transactions involving intellectual property, especially when addressing indirect patent infringement on e-commerce platforms. By conducting a comparative analysis with international laws from Germany, Japan, and the United States, the paper identifies robust legal frameworks that explicitly address indirect infringements in the digital marketplace. The paper proposes several legislative improvements for China, including the clarification of what constitutes indirect infringement, the outlining of explicit duties for e-commerce platforms, and the creation of specialized mechanisms for dispute resolution. On the judicial front, recommendations include enhancing the specialization of courts and judges in intellectual property, developing detailed procedural guidelines, and promoting alternative dispute resolution methods to mitigate the burdens of litigation. By adopting and adapting these recommandations, China can enhance its protection of intellectual property rights and support the dynamic environment of innovation that e-commerce fosters. Strengthening the legal framework in this way is crucial for ensuring fair competition and encouraging technological advancements within China's digital economy.

E-Commerce Evolution in China: Taobao's Triumphs, Trials, and Strategic Advancements

In China's e-commerce landscape, this study delves into Taobao's successes, challenges and strategic solutions. The paper scrutinizes Taobao's major developmental turning points, including its evolution from a C2C model to a B2C model, the creation of the Double Eleven shopping festival and the live streaming model. These forward-looking strategic layouts enabled Taobao to stand out from the competition and gain a sizable market size and user base. At the same time, Taobao faced fierce competition from JD.com and Pinduoduo, and was challenged by fake products, trust issues, and endless price wars. Inspired by the Amazon Prime membership model, the study proposes a series of strategic solutions that advocate a shift from price competition to exclusive offers and personalized services. Through these strategic reforms, Taobao can jump out of the swamp of price wars and improve its competitiveness, profitability, and the potential impact of user loyalty in order to stay ahead of the fierce competition in China's e-commerce.

Navigating the Digital Horizon: The Impact and Future of Communication Technologies in Society

The article delves deeper into the dynamic and rapidly evolving realm of digital communication technologies, highlighting their transformative impact across various dimensions of modern society. It scrutinizes the latest advancements in digital communication tools and platforms, assessing how these innovations are not only altering our fundamental methods of interaction but also redefining the paradigms of information exchange and processing. The study provides an in-depth analysis of five key domainssocial media dynamics, e-commerce evolution, mobile communication progression, online educational methodologies, and telemedicine advancements. Each of these domains is thoroughly examined through three distinct lenses, offering a nuanced perspective on their current state, challenges faced, and the potential trajectories they may follow. The article aims to furnish a holistic view of the digital communication landscape, contemplating its broader implications on social behavior, economic patterns, educational practices, healthcare delivery, and governance mechanisms. This comprehensive exploration is intended to offer readers a multifaceted understanding of how digital communication technologies are not just tools of convenience, but powerful forces shaping the future contours of our global society.

Impact of Perceived Benefits and Perceived Risks on Online Shopping Behaiour with Mediating Role of Purchase Intention

Online purchasing has revolutionized consumer market. It allows individuals to access a variety of products with a single click. With evolution of e-commerce understanding the factors influencing online shopping behavior is imperative for firms to remain competitive. This study investigates the relationship between perceived benefits (PB) and perceived risks (PR), mediated by purchase intention (PI) on online buying behavior (OSB). Six key elements—shopping convenience, product variety, price advantage, product risk, privacy risk, and financial risk—were evaluated through data collected from 300 internet shoppers via a structured questionnaire. The data is analyzed with SPSS. Results underline the significance of convenience, product variety, and price advantage in stimulating online purchases, with PB positively impacting customers' online purchasing behavior (OPB). Conversely, perceived risks negatively affect online shopping decisions, necessitating efficient risk management strategies to bolster consumer confidence. The mediation role of PI was examined using the Hayes macro process, revealing its significance in the relationship between PB, PR, and OSB. Notably, PI mediates the impact of both PB and PR on OSB, highlighting its pivotal role in shaping consumers' online purchasing behavior. These findings offer actionable insights for businesses, emphasizing the importance of leveraging PB to encourage beneficial purchasing intentions and mitigate PR to foster online shopping behavior. Ultimately, this study contributes to a deeper understanding of consumer decision-making in online settings, facilitating the development of targeted marketing strategies and enhancing overall online shopping experiences.

Evolution of E-Commerce in India

Evolution of E-Commerce in India

The Evolution of E-Commerce: From Traditional E-Commerce to Live Streaming Sales

In recent years, the rapid development of internet technology and social media platforms has led to significant transformations in e-commerce. Live streaming sales have gradually become a crucial sales model. This paper systematically analyzes the evolution from traditional e-commerce to live streaming sales, exploring key factors of this emerging model and its impact on consumer behavior. Through case studies, this research reveals how live streaming enhances consumers' purchase intentions and brand loyalty through real-time interaction and emotional connection. The findings indicate that while live streaming demonstrates remarkable short-term sales effectiveness, it also faces market competition, product quality, and service issues. The paper also discusses future trends in live streaming, such as integrating augmented reality (AR) and virtual reality (VR) to create more immersive shopping experiences, and data analytics for personalized marketing. Strategic recommendations are proposed to help businesses excel in a competitive market, including enhancing real-time consumer interaction, maintaining product quality, and building strong brand trust. These insights aim to provide a comprehensive understanding of the dynamic landscape of e-commerce and the pivotal role of live streaming in shaping future consumer trends.

Decoding Demographics on Generation Z's Post-Pandemic Shopping Trends: E-Commerce Evolution 4.0, the Digital Shopper's Dilemma, and Tailoring Strategies

This quantitative study investigates the impact of demographic factors on customer satisfaction and subsequent online purchase intentions among Generation Z university students in Dhaka, Bangladesh, during the post-COVID-19 era. Employing a cross-sectional research design, the study uses a stratified random sampling technique to collect data from 433 respondents. The questionnaire, based on a five-point Likert scale, explores variables such as gender, internet literacy, product price perception, income, education, customer satisfaction, and intention to purchase. IBM SPSS Version 25 (Licensed) is used for data analysis, incorporating descriptive statistics, correlation analysis, and regression analysis. The study unveils positive and significant relationships between gender, internet literacy, product price, income, and education with customer satisfaction. Moreover, a robust link between customer satisfaction and the intention to purchase online is identified. Theoretical frameworks such as Social Identity Theory and Consumer Satisfaction Models guide the research, highlighting the importance of a nuanced understanding for tailored marketing strategies. The findings contribute valuable insights for businesses and policymakers navigating the post-COVID-19 digital landscape. Future research avenues include exploring emerging technologies and cross-cultural variations within Generation Z.

Online counterfeit purchase behaviour: moderating effect of perceived anonymity and moral disengagement

PurposeThe continuous evolution of e-commerce with young consumers’ growing interest in online shopping has transformed the retail landscape across the world. With the surge in online sales, counterfeits of luxury goods have also found themselves from brick-and-mortar shelves to online e-commerce sites. Against this backdrop, this study aims to understand and analyse young consumers’ online counterfeit purchase behaviour (OCPB). Additionally, it also aims at identifying the determinants that influence their purchase decisions.Design/methodology/approachFollowing an extensive review of the literature, the present study pursued a quantitative approach in exploring critical demographic, psychographic, behavioural and situational factors influencing OCPB. The study was conducted in India through an online survey using a structured questionnaire.FindingsThe findings indicate that young consumers’ OCPB is significantly related to influencing factors like brand consciousness, fashion involvement, face consciousness, impulsive buying tendency, acquisition centrality and utilitarian shopping values. Furthermore, moderating effects of perceived anonymity (PA) and moral disengagement (MD) on OCPB were also observed and validated.Research limitations/implicationsThe study examined the critical factors and their linkages while building upon a structural framework on OCPB, keeping India as a representative sample. The proposed framework will bring more clarity and further insights that will help scholars expand the research domain with more cross-cultural studies and aid brand e-marketers to strategize their action towards developing strong brand aesthetic values.Originality/valueThe study contributes towards the literature by introducing PA and MD vis-à-vis building a framework for studying young consumers’ OCPB.

E-Commerce and Digital Transformation: Trends, Challenges, and Implications

In the dynamic landscape of modern commerce, the symbiotic relationship between e-commerce and digital transformation has become a cornerstone of business evolution. E-commerce, facilitated by the internet, has revolutionized the buying and selling of goods and services, transcending geographical boundaries and reshaping traditional business models. Simultaneously, digital transformation represents a strategic response to the digital age, encompassing the integration of digital technologies into all aspects of business operations. This paper rigorously examines the interconnected domains of e-commerce and digital transformation, uncovering evolving trends, persistent challenges, and far-reaching implications. Examining consumer behaviour patterns in the context of digital transformation, we highlight the shift towards Omni-channel experiences and personalized interactions. Through industry case studies, we showcase successful transformation instances and their outcomes. The fusion of e-commerce and digital transformation has redefined modern commerce. E-commerce's evolution and digital transformation's strategic integration of technology have reshaped business paradigms. Ultimately, this research enhances our understanding of e-commerce and digital transformation's profound implications for businesses and society, guiding stakeholders in harnessing technology's potential while navigating a dynamically evolving business environment. Our findings underscore the benefits of digital transformation, including enhanced operational efficiency, broader market reach, and enriched consumer experiences. Practical recommendations for businesses navigating this landscape are provided.

Credit Card Fraud Detection Using Machine Learning: A Review

Abstract: Emerging technology has brought about transformative changes across various vital industries such as healthcare, finance, manufacturing, transportation, and e-commerce. Among these sectors, the financial industry, in particular, has experienced significant positive shifts due to technological advancements. Banking services have embraced digitization and the evolution of e-commerce, resulting in a notable growth in the utilization of credit cards. However, with these advancements comes a challenge: an increase in fraudulent activities. This challenge has prompted the financial industry to take proactive measures to ensure the security and effectiveness of its operations. The surge in credit card usage has unfortunately attracted a higher number of fraudulent actors, leading to several predicaments for the banking sector. Amidst these challenges, financial institutions are committed to safeguarding credit card transactions and providing secure e-banking services to their clients. To address this, they are actively engaged in the development of more sophisticated fraud detection techniques. These techniques aim to not only identify a broader range of fraudulent transactions but also to enhance the overall effectiveness of fraud prevention systems and fraud detection systems. This article aims to provide a comprehensive overview of the key elements that constitute effective fraud detection, along with a deep dive into the current systems and methodologies in place. By shedding light on the prevalent challenges and complexities associated with fraudulent activities in the banking industry, the article also underscores the vital role that machine learning techniques play in the realm of solutions. In essence, this article seeks to showcase the positive trajectory of the financial industry's response to emerging challenges, highlighting its commitment to leveraging cutting-edge technology to ensure secure and seamless banking experiences for all clients

Transforming Commerce: A Bibliometric Exploration of E-Commerce Trends and Innovations in the Digital Age

The digital era has ushered in a transformative shift in commerce, culminating in the rise of e-commerce as a dominant force in the global market. This study employs a comprehensive bibliometric analysis, utilizing VOSviewer, to delve into the intricate fabric of e-commerce trends and innovations within the context of the digital age. Through the exploration of publication trends, co-authorship networks, keyword clustering, citation patterns, and emerging technologies, this research maps the intellectual terrain of e-commerce research. The findings illuminate the multidimensional evolution of e-commerce, from personalized mobile experiences to the integration of cutting-edge technologies. The analysis highlights pivotal contributions, collaborative dynamics, and emergent themes, providing a holistic understanding of how commerce has been reshaped in the digital age.

The Future of E-commerce: Trends, Challenges, and Opportunities

Abstract: This research paper delves into the evolution of e-commerce and explores its future prospects. Over the past few decades, e-commerce has witnessed exponential growth, revolutionizing business operations and consumer shopping habits. With advancements in technology and changing consumer preferences, the e-commerce industry is poised for further expansion. This paper examines the key trends, challenges, and opportunities that are likely to shape the future of e-commerce. Additionally, the paper emphasizes the use of plagiarism detection tools to ensure the originality of its content

Research on the Impact of E-commerce on Offline Retail Industry

This research paper investigates the impact of e-commerce on the offline retail industry, examining both the challenges and opportunities it presents. The research draws on various sources, including industry reports, academic literature, and a case study of Costco, to provide an in-depth analysis of the topic. The paper begins by exploring the evolution of e-commerce and its effects on offline retailers, followed by a discussion of strategies offline retailers can employ to adapt to the changing retail landscape. These strategies include adopting an omnichannel approach, enhancing in-store experiences, utilizing data analytics and AI, and fostering strategic partnerships. The paper concludes with an outlook on the future of the offline retail industry, suggesting that continual innovation and customer-centric approaches are key for success. The findings of this research can provide valuable insights for offline retailers seeking to navigate the rapidly evolving retail environment in the age of e-commerce.

“Sustainability and Talent Management”: a Two-Pronged Approach for the Evolution of E-commerce in India

“Sustainability and Talent Management”: a Two-Pronged Approach for the Evolution of E-commerce in India

PENGARUH PERSEPSI KEMUDAHAN, PERSEPSI KEGUNAAN DAN PROMOSI PENJUALAN TERHADAP PEMBELIAN IMPULSIF

The evolution of E-commerce into Social commerce is a new phenomenon in the development of trade in Indonesia. TikTok is one of the social media applications that has participated in this evolution until impulse buying behavior appears among TikTokShop users. Several factors that influence impulse buying in social commerce, especially TikTokShop, are website and marketing factors. Based on this, this study was conducted to explain how the effect of kemudahan yang dirasakan, perceived usefulness, and sales promotion on impulse buying of fashion products by TikTokShop users in Surabaya. This research was conducted using quantitative methods with the type of explanatory research. This research was conducted in Surabaya with the criteria of respondents being TikTokShop users in Surabaya who had shopped at TikTokShop and had bought fashion products at TikTokShop impulsively. The sampling technique was carried out using non-probabilty sampling and purposive sampling with a research sample of 96 respondents, and data analysis using multiple linear regression analysis with the help of the SPSS (Statistical Program for Social Science) version 25.0 program. The results of this study can be said that the perceived ease of use, perceived usefulness, and sales promotions have a significant positive effect partially and simultaneously on the impulse buying of fashion products by TikTokShop users in Surabaya.

The Evolution of E-commerce: From Traditional Platforms to AI-Driven Solutions

The Evolution of E-commerce: From Traditional Platforms to AI-Driven Solutions

Investigating Digital Intensity and E-Commerce as Drivers for Sustainability and Economic Growth in the EU Countries

Digital technology development caused the digital transformation of the economy and society. E-commerce, the most widespread among digital innovations, reached a significant share, particularly during the COVID-19 pandemic, impacting economic growth. The progress of digital technologies and the evolution of e-commerce can contribute to the more sustainable development of organizations and worldwide economies. This paper analyzed the influences of digital transformation and e-commerce on GDP and sustainable development. The study used the Eurostat database to gather the research variables for the EU countries. The paper used artificial neural networks and cluster analysis to reveal the significant influence of digital transformation and e-commerce on GDP and sustainable organizational development. Countries with a low level of digital transformation and e-commerce should propel these activities to increase economic performance sustainably.