E-commerce Sector Research Articles

Brand Loyalty through Consumer Protection of Selected E-Commerce Firms

Ensuring consumer rights and addressing their various concerns has been identified as a crucial step in securing customer loyalty. However, the e-commerce sector in Nigeria has struggled to retain its customers due to its failure to adequately protect consumer rights. This lack of consumer rights protection has resulted in poor customer loyalty, with users frequently abandoning e-commerce platforms. This study examines the effect of consumer protection on brand loyalty within selected e-commerce firms. The research surveyed 497 active users of these e-commerce platforms with a 90.3% return rate and employed multiple regression analysis to assess the results. The findings revealed that consumer protection has a significant effect on purchase decisions (Adj.R² = 0.660, F(3, 445) = 290.639, p < 0.05), customer trust (Adj.R² = 0.580, F(3, 445) = 207.126, p < 0.05) and customer satisfaction (Adj.R² = 0.590, F(3, 445) = 215.819, p < 0.05) of listed e-commerce firms in Lagos State, Nigeria. Consequently, the study concludes that consumer brand protection significantly influences the brand loyalty of selected e-commerce firms, recommending that e-commerce management prioritize the recognition and protection of consumer rights to enhance brand loyalty

E-commerce clothing review analysis by advanced ML Algorithms

A significant aspect in the rapid ascent of Bangladesh's e-commerce sector in recent years has been the significance of consumer evaluations. By examining these reviews, readers can gain enhanced insight into consumer happiness and product quality. This research analyses the sentiment of online clothes reviews with advanced machine-learning techniques. The fundamental purpose of evaluating several machine learning models, such as KNN, RF, XGB, Multi, LSTM, and CNN, is to identify the most effective method for sentiment classification. Following the compilation of an extensive dataset of clothing assessments and the execution of data preparation tasks, including cleaning, tokenization, and stop word elimination, we utilised a combination of deep learning and machine learning models for classification purposes. KNN had the highest accuracy in forecasting the future attitudes of the models evaluated. The findings indicate in the 5000 datasets that KNN is the most effective algorithm for assessing the sentiment of online purchasing reviews. KNN reached at 0.91% Accuracy. This project's automated and scalable methodology may enable online businesses to evaluate client feedback and make more informed decisions. Future research initiatives encompass augmenting the dataset, experimenting with various methods, and incorporating these models into AI-driven mobile and online applications for real-time sentiment analysis.

Digital Transformation Strategies for Enterprises - An Case Study of the Traditional Retail Industry

Against the background of rapid changes in science and technology and the rapid development of the digital economy, the market landscape is going through unprecedented and profound changes, consumer preferences becoming more and more personalized and diversified, while the e-commerce sector has shown a vigorous development trend. More and more traditional retail companies realize that digital transformation has become an unavoidable trend under competitive pressure. How traditional retail companies can establish a competitive and adaptable business model through digital technology is an urgent problem that needs to be solved nowadays, but many companies have no clear idea about it and lack systematic digital transformation plans. This paper analyses the current situation of traditional retail enterprises and the dilemma of digital transformation. It puts forward suggestions for digital transformation strategies, hoping to help retail enterprises understand and cope with the challenges of digital transformation, enrich the ideas of digital transformation at the theoretical level, and provide references for traditional retail enterprises that are undergoing digital transformation.

Analysis of the Digital Transformation Path of Chinese E-commerce Companies

Digital technology has revolutionized China’s e-commerce sector, changing company operations and client relationships. This article analyzes the impact of digital transformation on online purchasing patterns. This article concentrated on the important of cloud computing, AI, and big data have become essential to online retail tactics. Digitalization is fueling economic development and innovation in China as its digital economy grows and impacts GDP. Digital technologies enable e-commerce and other industrial sectors to interact easily, improving operational efficiency and market reach. Moving from isolated firm models to connected platforms is a sign of a more responsive and integrated economy. This integration fosters a value model of co-creation in which stakeholders (including companies) collaborate to develop product and service offerings, improving customer experience and operational productivity. The route to digital maturity is not without challenges. E-commerce companies struggle with inefficient logistics, costly digital transformation, and a dearth of competent digital workers, as this study shows. Companies must make dramatic organizational and technological adjustments to overcome these constraints and maximize digital technologies. The analysis concludes that China’s e-commerce market will depend on enterprises’ digital adoption. E-commerce enterprises must embrace ongoing learning and development and remove digital integration barriers to compete in today’s dynamic online industry. The study illuminates digital transformation and how it will impact e-commerce.

Intellectual Property Risks and Countermeasures in Cross-Border E-Commerce

Cross-border e-commerce has experienced rapid development driven by globalization trends, emerging as a significant force propelling international trade and economic growth. However, with the intensification of legal, cultural differences, and technological changes across nations, intellectual property issues in the cross-border e-commerce sector have become increasingly prominent. Intellectual property serves as the core of business innovation and market competition; any infringement thereof can lead to substantial financial losses for enterprises and erode market trust and brand reputation. Cross-border e-commerce enterprises face multifaceted intellectual property risks, including infringement, brand theft, and data leakage, particularly within differing legal systems, complicating these issues further. The protection of intellectual property is not only crucial for safeguarding corporate interests but also a necessary prerequisite for ensuring the healthy development of the global market. In response, cross-border e-commerce enterprises must adopt proactive measures, ranging from institutional construction to enhancing user awareness, to comprehensively address intellectual property risks and ensure their competitiveness and sustainable development in the international market.

Role of Live E-Commerce on Consumer Purchase Intentions

Purpose: One of the many ways that e-commerce allows shops to use live video to promote products in real time is live streaming. Theoretical structure: Perceived value and trust received are important factors of cognitive response showing interaction with external stimuli in the context of online purchasing study. Approach, methodology, and design: In the end, it influences the customers' information-seeking behaviour and helps the business create long-term profits by providing information and enabling synchronous information exchange between the online viewer (consumer) and the Internet celebrity. China has set the standard for innovation in internet commerce worldwide, from live broadcasting to cutting-edge purchasing. Results: For live commerce, social engagement, entertainment, and buy intent were found to be positively correlated. However, no relationship between purchase intent and professionalisation or visualisation was found. During live streaming, entertainment has the most influence on viewers' intention to purchase. Research, Practical, and Social Implications: With the quick advancement of contactless communication, it is projected that the live-streaming e-commerce sector will keep expanding. E-commerce that is live-streamed transcends the traditional notion of solely selling products or services. Originality/value: This study can be used as a standard by future academics and business experts to boost viewers' propensity to make a purchase while live streaming.

Geopolitics, Privacy, and User Trust: TikTok

The paper uses a thorough review of the current literature, governmental materials, and information available on ByteDance as the major source for analyzing the link between geopolitical aspects, privacy concerns, and user engagement with businesses. The study found that the uncertainty surrounding TikTok’s data usage and the ongoing tensions between China and the United States leads to a decline in user trust. This is particularly evident in the e-commerce sector, where individual privacy concerns directly affect customers’ buying habits and commercial involvement. This phenomenon would directly impact TikTok’s international e-commerce expansion, as well as user engagement on the platform; ultimately affect the platform’s overall growth and revenue potential. The paper concludes with recommendations for enhancing data privacy on TikTok such as reducing data collection from minors, putting stricter regulations on third-party data access and being more transparent about their data policies.

Investigating the determinants of homestay satisfaction on Airbnb using multiple techniques

Peer-to-peer accommodation has gained prominence in the sharing economy and e-commerce sectors, with big data playing a crucial role in understanding customer preferences and evaluating homestay satisfaction. This study proposes a novel methodology that integrates Natural Language Processing (NLP) techniques, a Random Forest model, and Geographic Information System (GIS) functionalities to quantify the complex relationship between homestay satisfaction and diverse customer preferences. Notably, this study addresses the positive bias inherent in listing scores by segmenting homestays into three categories (satisfactory, moderate, and dissatisfactory) based on sentiment analysis from online reviews. Furthermore, this study not only identifies eight key determinants of homestay satisfaction but also unveils the nonlinear relationships and interactions between them. More significantly, we identify specific threshold values for geographic determinants, offering actionable recommendations for homestay planning and layout. These findings provide valuable insights that can be leveraged to improve homestay experiences and promote the sustainable development of urban homestays.

Approaches for the On-Line Three-Dimensional Knapsack Problem with Buffering and Repacking

The rapid growth of the e-commerce sector, particularly in Latin America, has highlighted the need for more efficient automated packing and distribution systems. This study presents heuristic algorithms to solve the online three-dimensional knapsack problem (OSKP), incorporating buffering and repacking strategies to optimize space utilization in automated packing environments. These strategies enable the system to handle the stochastic nature of item arrivals and improve container utilization by temporarily storing boxes (buffering) and rearranging already packed boxes (repacking) to enhance packing efficiency. Computational experiments conducted on specialized datasets from the existing literature demonstrate that the proposed heuristics perform comparably to state-of-the-art methodologies. Moreover, physical experiments were conducted on a robotic packing cell to determine the time that buffering and repacking implicate. The contributions of this paper lie in the integration of buffering and repacking into the OSKP, the development of tailored heuristics, and the validation of these heuristics in both simulated and real-world environments. The findings indicate that including buffering and repacking strategies significantly improves space utilization in automated packing systems. However, they significantly increase the time spent packing.

Workforce Optimization for Quick Commerce Dark Stores: Talent Sourcing and Workforce Modelling Strategies

Quick commerce (Q-commerce) has transformed the retail and e-commerce sectors by enabling ultra-fast delivery of goods through hyper-local logistics and dark stores. The operational success of this model hinges on a structured workforce strategy that supports efficient scaling and agility. This paper explores innovative workforce optimization techniques that focus on organizational design, talent sourcing, and workforce modelling, referencing industry leaders like Flipkart, Zepto, Instamart, and Blinkit. The study identifies the vital roles within dark stores and the approaches to talent acquisition, emphasizing localized recruitment, employee retention, and technology integration. It further presents best practices for scalable workforce modelling to accommodate seasonal demands, high attrition rates, and hyper-growth environments, ensuring sustainable development in the Q-commerce industry. Keywords: Quick Commerce, Workforce Strategy, Talent Sourcing, Dark Stores, Organizational Design, Hyper-Local Delivery, Workforce Modelling

Legal and Commercial Dynamics of E-Consumer Protection: Navigating Challenges in India's Digital Economy

India's digital economy has experienced rapid growth, significantly transforming consumer behavior and market practices. This expansion has underscored the critical need for robust e-consumer protection frameworks to address the rising incidents of fraud, data breaches, and unfair trade practices. This study delves into the legal and commercial dynamics influencing e-consumer protection in India, beginning with an exploration of the historical evolution of consumer protection laws. It analyzes key legislation such as the Consumer Protection Act, 2019, and the Information Technology Act, 2000, assessing their relevance and effectiveness in the digital age. The study also examines the commercial dynamics of India's e-commerce sector, focusing on various business models like B2C, C2C, and platform-based businesses, and their implications for consumer rights. Additionally, it identifies challenges such as enforcement issues, jurisdictional complexities in cross-border transactions, and the impact of technological advancements, including data privacy concerns and cybersecurity threats. A comparative analysis of international best practices, particularly from the EU and the USA, provides insights into global standards in e-consumer protection and how these can be adapted to the Indian context. The study concludes with policy recommendations aimed at strengthening existing legal frameworks, enhancing regulatory oversight, and encouraging self-regulation and ethical practices among e-commerce players. It also explores future trends and innovations that could further shape e-consumer protection in India. By addressing these challenges and proposing actionable solutions, the study offers a comprehensive understanding of the current state and future directions of e-consumer protection in India's evolving digital economy.

The Role of Complex Systems in Predictive Analytics for E-Commerce Innovations in Business Management

This review explores the incorporation of complex systems theory into predictive analytics in the e-commerce sector, particularly emphasizing recent advancements in business management. By analyzing the intersection of these two domains, the review emphasizes the potential of complex systems models—including agent-based modeling and network theory—to improve the precision and efficacy of predictive analytics. It will provide a comprehensive overview of the applications of emergent predictive analytics techniques and tools, including real-time data analysis and machine learning, in inventory optimization, dynamic pricing, and personalization of customer experiences. In addition, this review will suggest future research directions to advance the discipline and address the technical, ethical, and practical challenges encountered during this integration phase.

Navigating Consumer Behavior in the Niche Market of Artisan Tea Blends: Insight from Indonesia’s E-Commerce Sector

Navigating Consumer Behavior in the Niche Market of Artisan Tea Blends: Insight from Indonesia’s E-Commerce Sector

IMPACT OF BLOCKCHAIN TECHNOLOGY IN THE E-COMMERCE SECTOR

Blockchain technology is considered as a significant development after the invention of the internet. Blockchain technology records the transactions on database which are encrypted and distributed over many computer networks like a digital ledger of online transactions. This technology can be utilized in the e-commerce industry to develop a decentralized online buying and selling platform. E-commerce industry presently facing many unique challenges like security measures of the e-commerce system, transparency, and trust, efficiency, etc. These challenges can be answered by the implementation of blockchain technology in the e-commerce industry. This paper discussed opportunities for using blockchain technology in the e-commerce industry. Blockchain applications and opportunities are discussed for various aspects of e-commerce like Payment, Security, Supply chain, Work automation with Smart contract, Ethical practices for transparency in e-commerce transactions. The paper seeks to explore the possible uses of blockchain technology within the e-commerce sector.

The Effectiveness of 2020 E-Commerce Rules in Protecting Consumer Rights

This paper critically evaluates the effectiveness of India’s Consumer Protection (E-Commerce) Rules, 2020 in safeguarding consumer rights within the rapidly growing digital marketplace. The 2020 rules, introduced under the Consumer Protection Act of 2019, were designed to address challenges arising from the proliferation of e-commerce platforms, including issues related to transparency, grievance redressal, counterfeit products, and data protection. The paper examines how these rules have enhanced consumer protection by mandating clear product information, establishing robust grievance mechanisms, and promoting accountability among e-commerce platforms. However, the implementation of the rules faces several challenges, such as uneven enforcement across platforms, limited consumer awareness, and difficulties in regulating cross-border transactions. Additionally, the paper explores the gaps in data privacy protections and the ongoing issues of counterfeit goods within online marketplaces. While the rules represent a significant step forward in regulating the e-commerce sector, this analysis highlights the need for continued regulatory oversight, technological innovation, and consumer education to ensure that the rules are effectively implemented and enforced. The paper concludes that although the 2020 E-Commerce Rules have made strides in protecting consumer rights, further reforms are necessary to address emerging challenges and ensure equitable consumer protection in India’s expanding e-commerce ecosystem.

The Influence of Social Media Strategy, Customer Interaction, and Word of Mouth on E-commerce Purchase Intention

This study investigates the effects of social media strategy, customer interaction, and word of mouth on e-commerce purchase intention. Utilizing a quantitative approach, data were collected from 360 respondents using a structured questionnaire with a Likert scale ranging from 1 to 5. The analysis employed Structural Equation Modeling with Partial Least Squares (SEM-PLS 3) to assess the relationships among the variables. The findings reveal that a well-implemented social media strategy significantly enhances customer interaction and positively influences word of mouth, which in turn drives purchase intention in the e-commerce sector. These results underscore the importance of strategic social media engagement and effective customer communication in fostering consumer intent to purchase online. The study provides valuable insights for e-commerce businesses seeking to optimize their marketing strategies and enhance customer engagement.

Boosting repurchase rates in B2C e-commerce: the role of customer satisfaction and relationship factors

This study examines the impact of critical factors on customer behavior in the B2C e-commerce sector, particularly focusing on e-customer satisfaction, electronic word-of-mouth (e-WOM), e-service quality, electronic trust (e-trust), perceived value, and the intention to repurchase. Using a structured questionnaire, data were collected from 418 respondents in Jakarta Province, Indonesia, and analyzed via Partial Least Squares-Structural Equation Modeling (PLS-SEM) 4.0. The research confirms the significant influence of all 13 hypothesized relationships on the tested variables, both directly and through mediating effects. Key findings reveal that e-customer satisfaction, e-WOM, e-service quality, e-trust, and perceived value serve as critical mediating factors that significantly shape repurchase intentions. Specifically, e-customer satisfaction has been identified as a crucial moderating variable, enhancing the direct effects of other factors on repurchase intentions. Furthermore, the study underscores the paramount importance of e-service quality and e-trust in fostering a positive perceived value among customers, which in turn enhances e-customer satisfaction and encourages repeat purchases. These insights provide valuable strategic perspectives for online retailers aiming to enhance customer loyalty and facilitate repeated purchases. The study advances the understanding of the interplay between these key factors and their collective impact on customer loyalty in e-commerce. It underscores the necessity for e-commerce platforms to maintain high levels of customer satisfaction and trust, ensuring consistent service quality and leveraging positive e-WOM to build enduring customer relationships. Additionally, the implications of these findings are relevant for cross-cultural studies and can be applied across diverse product categories, suggesting broad applicability for future research and practical implementations in e-commerce. This comprehensive analysis not only contributes to the academic discourse on e-commerce but also offers practical recommendations for online retailers to optimize their strategies in a competitive market.

Faktor Kunci Kepatuhan Pajak UMKM E-Commerce di DKI Jakarta : Modernisasi Sistem Pajak, Religiusitas, Love of Money, dan Sanksi Pajak

Purpose: The purpose of this study is to examine how Religiosity, love of money, tax sanctions, and modernization of the tax system affect tax compliance of MSME businesses. Methodology: The sampling method is based on the formula of Roscoe's theory. Using the SmartPLS 4.0 program for PLS-SEM data analysis, the researcher tested the hypothesis at a significance level of 5%. Results: the results of the study, taxpayer compliance in e-commerce is significantly influenced by the modernization of the tax system for MSMEs; taxpayer compliance in is not significantly influenced by religiosity for the same business; and e-commerce is significantly influenced by love of money. In terms of MSME e-commerce tax compliance, tax sanctions do not have a significant effect. Limitations: This study may only cover a small portion of e-commerce MSMEs in DKI Jakarta, so the results may not fully represent the entire population of e-commerce MSMEs in the area if the sample used is not taken randomly or there is a tendency to select certain respondents, then the results of the study can be influenced by sample selection bias. Contribution: This study adds to the existing literature on tax compliance, particularly in the context of MSMEs in the e-commerce sector. It provides new insights into how factors such as tax system modernization, religiosity, love of money, and tax sanctions interact to influence tax compliance. By testing a theoretical model involving various factors influencing tax compliance, this study strengthens or challenges existing theories related to tax compliance behavior, particularly in the context of the digital economy

UNDERSTANDING THE ROLE OF FOMO (FEAR OF MISSING OUT) IN IMPULSE PURCHASE FOR SMES

This study examines the influence of price discounts on impulse buying through live streaming among e-commerce users in Indonesia. The research adopts a quantitative approach, utilizing a survey methodology with questionnaires distributed to a purposive sample of 152 consumers from the Dolee Branded Store. Data were analyzed using SmartPLS 4.0 software, employing the PLS-SEM analysis method. The findings reveal that price discounts significantly directly impact impulse buying behavior. Furthermore, price discounts also significantly affect live streaming, which, in turn, substantially influences impulse buying. The results indicate that live streaming acts as a mediating variable, enhancing the effect of price discounts on impulse purchases. This study underscores the importance of integrating price discount strategies with live streaming to drive impulse buying behavior in the e-commerce sector effectively. By leveraging live streaming as a promotional tool, businesses can maximize the impact of their discount offers, leading to increased consumer engagement and sales. These insights provide valuable implications for marketers and e-commerce platforms aiming to enhance their promotional effectiveness and customer acquisition strategies.

Optimizing Shopping Experience by Integrating Augmented Reality and Payment Gateway in SME Storefronts

In the rapidly evolving digital era, leveraging advanced technologies to enhance the online shopping experience has become crucial, especially for small and medium-sized enterprises (SMEs) aiming to compete in the global market. This research focuses on optimizing the shopping experience by integrating Augmented Reality (AR) and Payment Gateway technologies into a storefront platform specifically designed for women's clothing SMEs. The study begins with a comprehensive analysis of market trends, customer behavior, and the challenges faced by SMEs in adopting these technologies. A detailed literature review provides the foundation for developing a robust conceptual framework. The prototype development phase involves designing 3D models using CLO | 3D Fashion Design Software, converting these models into AR experiences with Meta Spark Studio, and integrating the Midtrans Payment Gateway using Laravel. The AR feature enables users to virtually try on clothes via Instagram, while the Payment Gateway ensures quick and secure transactions. The final phase involves rigorous functional and substantive testing, focusing on user experience, transaction efficiency, and overall system performance. Results demonstrate that the integrated prototype significantly enhances the shopping experience, providing seamless AR interactions and efficient payment processing. Users reported high satisfaction levels with the system's usability and security. The study concludes that integrating AR and Payment Gateway technologies into SME storefronts can substantially improve their competitiveness in the digital market, offering practical insights and guidelines for future implementations in the e-commerce sector.