E-commerce Research Articles

Reduce the Amount of Push Notifications Require for E- Commerce Apps

Effective communication is essential in the electronic commerce sector for achieving customer satisfaction and overall operational success. Multiple push notifications often bombard the users and may lead to app fatigue and subsequent uninstalls. Difficulties in managing sellers' inventory and admins having to resort to various communication channels challenge these incumbents. This project, therefore, aims to build an advanced notification system that incorporates user preferences and relevance. This proposed solution will establish a single platform for notifications for better organization and delivery timing for maximum engagement. This will aid the user in receiving crucial notifications, the sellers will work more efficiently, while the admins regain their control. This increases user retention, satisfaction, and platform success.

Research on Cross-Border e-Commerce Supply Chain Prediction and Optimization Model Based on Convolutional Neural Network Algorithm

Enhancing the precision of supply chain management and reducing operational costs are crucial for the development of the cross-border e-commerce market. However, existing research often overlooks the demand uncertainty caused by seasonal variations and the challenges of handling returns in logistics. Therefore, this paper proposes a SARIMA-CNN-BiLSTM prediction model that effectively captures both the seasonal and nonlinear characteristics of cross-border e-commerce supply chains. Additionally, by incorporating the returns process, a supply chain distribution optimization model is developed with the objective of minimizing total operational costs. The model is solved using an improved whale optimization algorithm. In validation with real-world data, the SARIMA-CNN-BiLSTM model achieved a mean absolute percentage error reduction of 6.479 and 7.703 compared to convolutional neural network (CNN) and BiLSTM models, respectively. Moreover, the chosen optimization algorithm reduced the cost by 231,310 CNY, 62,564 CNY, and 131,632 CNY compared to the whale optimization algorithm, genetic algorithm, and particle swarm optimization, respectively. The proposed approach provides robust support for cross-border e-commerce enterprises in reducing costs and enhancing efficiency in their operations.

RESEARCH ONLINE PURCASE OFFLINE: STUDYING CONSUMER BEHAVIOR IN PURCHASING FASHION AT JURAGAN MODE SHOP IN BENGKULU CITY

This research aims to understand consumer behavior in purchasing fashion products at Juragan Mode Shop Bengkulu City using the Research Online, Purchase Offline (ROPO) approach, as well as to explore the factors that influence consumer decisions in choosing to do product research online before shopping at physical stores. The method used in this research is phenomenology, which focuses on understanding the experiences and perceptions of consumers in interacting with these two channels. The results show that most consumers do product research first through the internet, especially through social media and e-commerce platforms, to get information about price, product variety, and quality. After obtaining sufficient information, they decide to visit Juragan Mode Shop to make a purchase directly. Factors that influence the purchase decision include more competitive prices, guaranteed product quality, and the convenience and experience of shopping in a physical store. This research provides insight into how consumers utilize the internet in influencing their purchasing decisions, as well as the importance of physical stores in reinforcing those decisions.

A Review on Machine Learning Based Models for Credit Card Fraud Detection

With increased internet usage, online transactions have been on the rise. One of the most prevalent problems faced is credit cards frauds. While web applications and mailing services are heavily spammed, the upsurge of handheld mobile devices has led to an outburst of heavy mobile credit card spamming. The matter is more severe in mobile devices due to lesser sophisticated filtering mechanisms in built in mobile operating systems. Recent advancements in electronic commerce and communication systems have significantly increased the use of credit cards for both online and regular transactions. However, there has been a steady rise in fraudulent credit card transactions, costing financial companies huge losses every year. The development of effective fraud detection algorithms is vital in minimizing these losses, but it is challenging because most credit card datasets are highly imbalanced. Traditional rule-based systems are often insufficient to handle the sophisticated and evolving techniques fraudsters use. Machine learning (ML) provides more dynamic, scalable, and effective methods for detecting fraudulent activities. This paper presents a comprehensive review on credit card datasets, imbalanced nature of datasets and existing baseline techniques in the domain. Keywords— Credit Card Fraud Detection, Machine Learning, Feature Selection, Imbalanced Datasets, Classification Accuracy

From clicks to insights: analysing online customer reviews for handicraft products

ABSTRACT With the swift advancement of electronic commerce platforms, handicraft artisans have expeditious access to national and international markets. This has led to the survival of unique handicraft products that were on the brink of extinction. In light of the growing significance of online review, the scrutiny of user-generated online content has garnered substantial attention and is being used as a valuable tool for handicraft products, both within the entrepreneurs’ and academic community. This study aims to spotlight the crucial attributes of handicraft products, derive the relationship between them, and ultimately prioritise them using data from 78377 online consumer reviews sourced from Amazon and Flipkart. The study divulges that heritage design, customer likeliness, market-driven and economic value are the foremost attributes of handicraft products within the Indian e-commerce landscape.

From Fun to Fear: Unpacking the Emotional Triggers of Cross-Border E-Commerce Repurchases

This study explores how emotional triggers—specifically the interplay between perceived fun and fear—affect repurchase intentions on cross-border e-commerce platforms through the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Additional variables, including online shopping fun and online shopping risk, are incorporated to provide a comprehensive analysis. Data were collected through an online questionnaire survey, resulting in 270 valid responses. The study employed SmartPLS 4.0 to analyze the data, utilizing descriptive statistics, reliability analysis, validity tests, and structural equation modeling (SEM) to evaluate the research hypotheses. Effort expectancy, facilitating conditions, and online shopping fun positively influence repurchase intention and behavior. However, performance expectancy and social influence do not significantly impact repurchase intention. Online shopping risk has a negative effect on repurchase intention, indicating that consumers’ concerns about security and privacy reduce their likelihood of repurchasing. Cross-border e-commerce platforms should prioritize improving usability and providing support features to enhance customer experiences. Incorporating engaging features and mitigating perceived risks can significantly encourage repeat purchases. These insights are critical for platform developers and marketers aiming to foster customer loyalty. This study extends the UTAUT framework by incorporating shopping fun and risk as contextual variables, providing novel insights into consumer behavior on cross-border e-commerce platforms. The findings offer practical recommendations for enhancing user experience and addressing specific challenges in the e-commerce domain.

Strategies of Local Fashion Brand to Build Prestige and Pride Through International Campaigns, Supporting SDG 8 with Innovation and Entrepreneurship

Objective: This study examines how an Indonesian local fashion brand, leverages international promotional strategies to build brand pride among local consumers. Specifically, the objectives are: (1) examine how an Indoet nesian local fashion brand, utilizes international promotional strategies and a multi-platform marketing ecosystem to build brand pride among local consumers, and (2) analyze the role of social media marketing in complementing offline promotions to enhance local consumer engagement. Theoretical Framework: Drawing on Digital Ecosystem Theory, this study explores the integration of digital and offline channels in Erigo’s marketing approach to foster prestige and exclusivity. Method: A qualitative approach was adopted, utilizing systematic non-participant observation of Erigo’s social media and e-commerce platforms from 2021 to 2024, focusing on international campaigns and engagement strategies. Results and Discussion: Findings indicate that Erigo effectively fosters perceptions of prestige and exclusivity among local consumers through strategic participation in global events, collaborations with influencers and celebrities, exclusive product launches, giveaways, limited-edition items, live shopping, and trend-jacking content. These strategies not only strengthen brand engagement but also support Sustainable Development Goal (SDG) 8 by promoting economic growth and local entrepreneurship. Research Implications: This research expands Digital Ecosystem Theory by demonstrating how local fashion brands can strategically integrate multi-channel promotional activities through a deep understanding of consumer culture and local engagement to build brand pride. Originality/Value: The study presents a novel model and offers actionable insights for local brands seeking to compete with international brands while maintaining local market relevance, ultimately strengthening their market position.

Researching user experience with artificial intelligence application for customer care services on e-commerce platform

This study is conducted in the context of the booming development of e-commerce shopping in Vietnam. The rising demand for online shopping has resulted in increased pressure on workforce optimization and automation of customer service processes on e-commerce platforms. To meet the need for online customer care and response, significant resources in manpower, time, and cost are required. Therefore, to optimize costs, reduce response time, and enhance customer care, applying artificial intelligence to customer service has become a top choice. The purpose of this study is to explore the factors that directly affect the customer service experience using artificial intelligence on e-commerce platforms in Vietnam. This aims to help businesses understand customer feedback and psychology to develop strategies to improve and advance this artificial intelligence application model. This study provides an overview of the factors directly influencing the customer experience in AI-driven customer service on e-commerce platforms. Based on this, it offers managerial implications to enhance the quality of customer service for online businesses operating on e-commerce platforms in Vietnam.

Pendampingan Edukasi Pemasaran Komunitas Pengusaha Keripik Gadung Berbasis Digital Marketing dan E-Commerce Desa Begagan Limo Kecamatan Gondang Mojokerto

The educational support program for digital marketing and e-commerce for the community of gadung chips entrepreneurs in Bagagan Limo Village, Gondang District, Mojokerto aims to enhance their marketing capabilities to reach a broader and more efficient market. This program provides entrepreneurs with an understanding of basic digital marketing concepts, ranging from social media utilization to e-commerce platforms, to expand their market reach. The assistance is carried out through training and hands-on practice, allowing participants to implement the knowledge gained in marketing their products online. The education provided covers various aspects of digital marketing, such as social media content management, website optimization, and the use of e-commerce platforms for product sales. This is intended to help gadung chips entrepreneurs not only rely on the local market but also penetrate broader markets, including international markets, through digital platforms. Furthermore, the support program teaches effective and cost-efficient marketing techniques, considering the importance of leveraging digital media in the modern era. Through this program, it is expected that gadung chips entrepreneurs in Bagagan Limo Village can develop their businesses, increase their income, and create new business opportunities. The implementation of digital marketing and e-commerce is expected to have a positive impact on improving the competitiveness of gadung chips products, as well as introducing local products to the global market. The desired outcome is the creation of a more inclusive and sustainable business ecosystem in the village.

The multidimensionality of the collaborative economy in the light of the constitutional relations between the EU and the member states

Some platforms in the collaborative economy offer a combination of sectoral and information society services, which characterises them as a hybrid entity. The concurrent provision of disparate types of services necessitates the determination of the predominant activity of a given platform on a case-by-case basis. This, in turn, gives rise to legal uncertainty and inconsistent case law at the national level. This paper examines the impact of the choice of institutional alternatives in the context of multilevel governance in the EU on the legal status of collaborative economy business models such as Uber and Airbnb in the EU single market. The paper employs a mixed-methods research approach to analyse pivotal jurisprudential decisions of the Court of Justice of the European Union (CJEU) and national courts. It reaches the conclusion that the Airbnb platform, in its capacity as an information society service provider, is subject to the provisions of the Electronic Commerce Directive (2000/31/EC). Conversely, Uber, by virtue of its definition as a transport undertaking, is subject to shared jurisdiction between EU institutions and Member States in the field of transport services. This paper initiates a discussion on the suitability of the extant regulatory apparatus and underscores the necessity for the establishment of an appropriate institutional framework, either centralised at the EU level or decentralised at the level of Member States, that would provide substantive rules aimed at comprehensively regulating the legal status of hybrid business models, thus allowing for more uniform conditions for their operation in the EU single market.

Membangun Ekosistem E-Commerce yang Berkelanjutan untuk Industri Kreatif : Tantangan dan Peluang bagi Pemerintah

This research examines crucial issues related to the development of a sustainable e-commerce ecosystem for the creative industry in Indonesia. The main problems identified are uneven digital infrastructure, lack of digital literacy, and fierce competition in local and global markets. The purpose of this study is to analyze the challenges and opportunities faced by creative industry players in utilizing e-commerce platforms. The method used is literature review by collecting data from various secondary sources, including journal articles and policy reports. The results of the study show that collaboration between the government, the private sector, and local communities, as well as effective training programs, are very important to improve the competitiveness of creative industry players. The conclusion of this study emphasizes the need for an integrated approach in creating an e-commerce ecosystem that supports the growth of the creative industry in the digital era.

The Influence of Performance Expectancy, Effort Expectancy, And Social Influence on Use Behavior with Behavioral Intention as A Mediator (A Case Study of Cash on Delivery (COD) System Users in Marketplaces)

Online shopping has gained significant popularity due to the numerous conveniences it offers. Several marketplaces provide various premium services, including the Cash on Delivery (COD) payment system, which has become a prominent feature in Indonesia. COD caters to individuals who prefer traditional payment methods and are skeptical about online transactions. This payment method allows customers to mitigate concerns about potential fraud, such as non-delivery of goods or receiving empty packages, thereby offering a sense of security and trust in their purchases. This study aims to investigate the relationships between the variables of Performance Expectancy, Effort Expectancy, Social Influence, Behavioral Intention, and Use Behavior. The sample comprises individuals who have shopped on a marketplace using the COD payment system, with a total of 348 respondents. This research employs a quantitative approach, utilizing nonprobability sampling and data collection facilitated by the G-Power application. Data analysis was conducted using Smart-PLS version 4 software. The findings reveal a positive and significant impact of performance expectancy on behavioral intention, a positive and significant effect of effort expectancy on behavioral intention, and a positive and significant influence of social influence on behavioral intention. Furthermore, behavioral intention positively and significantly affects use behavior. Additionally, performance expectancy, effort expectancy, and social influence positively and significantly impact use behavior through behavioral intention.

PENINGKATAN DAYA SAING MELALUI PLATFORM SHOPEE DENGAN ANALISIS SWOT (STUDI KASUS : MTRSTORE.ID)

MTRSTORE.ID is a thrift shop business operating in the fashion industry, offering imported thrift products such as jeans, chinos, and cargo pants. This business was chosen due to the rapid trend growth in the sector, particularly among teenagers. This study aims to analyze the competitiveness of MTRSTORE.ID, a thrift shop operating on the Shopee e-commerce platform, using the SWOT analysis approach. In the context of globalization and advancements in information technology, businesses like MTRSTORE.ID face challenges to remain relevant and competitive in an increasingly tight market. The analysis results show that MTRSTORE.ID has strengths, including high sales potential through Shopee's large user base and attractive promotions. However, the business also faces weaknesses, such as intense competition and high administrative costs. Opportunities to boost sales include participating in discount programs and utilizing Shopee's advertising features, while threats such as price competition and challenges in maintaining product quality need to be addressed. This research employs a qualitative methodology with a case study approach. It recommends that MTRSTORE.ID implement these strategies to enhance its competitiveness on Shopee, utilizing the SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis framework.

The Influence of Customer Perceived Value, Satisfaction, and Trust on Loyalty among E-Shoppers in Palestine’s E-Commerce Platforms

E-commerce has grown significantly in the past few years and has significantly affected the retail industry worldwide, including Palestine. Due to the improved Internet connectivity, high usage of smartphones, and the young population of Palestine, the e-commerce industry has rapidly developed. This research examines the relationship between customer-perceived value, satisfaction, trust, and loyalty concerning Palestinian e-shoppers in the context of local e-commerce platforms. The quantitative data were collected using a structured survey of (278) online shoppers and analyzed using SEM to test the proposed model. The results show that perceived value does not directly affect customer loyalty; the relationship is mediated by customer satisfaction and trust. In detail, a perceived value improves customer satisfaction and trust, both antecedents of loyalty. The satisfaction and trust of the customers are not just important; they are the foundation of their loyalty. These findings suggest that e-commerce platforms in Palestine need to embrace a comprehensive approach that aims to achieve a high level of customer-perceived value, satisfaction, and trust. By focusing on these aspects, online retailers can successfully build and sustain customer loyalty, thus guaranteeing continued growth and market leadership in the growing Palestinian e-commerce industry. This research provides theoretical implications for consumer behaviors in emerging markets and managerial implications for e-commerce firms that seek to enhance customer retention strategies.

Digital Marketing Analysis on UMKM Snacks

This study aims to analyze the application of digital marketing in micro, small, and medium enterprises (MSMEs) within the snack food sector, and its impact on business performance. Using a qualitative method with in-depth interviews, observations, and documentation study, this research explores the digital marketing strategies implemented by five MSME snack business owners, along with the challenges and outcomes they experienced. The results show that most MSME snack businesses have utilized digital platforms, particularly social media like Instagram and Facebook, as well as e-commerce platforms like Tokopedia and Shopee, to promote their products. Strategies include the use of engaging visual content, discounts, and partnerships with micro-influencers. Despite challenges such as limited knowledge, budget, and time, the impact of digital marketing has proven significant, especially in increasing product visibility, sales, and customer loyalty. Therefore, digital marketing offers great potential for MSMEs to expand their market reach and enhance business performance. The study also recommends improving digital literacy and leveraging advanced marketing features to maximize the potential of digital marketing for MSMEs.

A STUDY ON THE IMPACT OF SUBSCRIPTION-BASED MODELS ON CONSUMER BUYING BEHAVIOUR WITH RESPECT TO E-COMMERCE PLATFORMS

Subscription services have transformed the e-commerce landscape from its early origins to a $196.35 billion industry, providing benefits such as convenience and predictable revenue streams. This study examines the impact of subscription-based models on consumer buying behaviour within the e-commerce sector, focusing on factors influencing adoption, customer loyalty, and satisfaction. Employing a descriptive research design with a sample of 206 respondents from Ahmedabad, the study utilized non-parametric statistical methods due to non- normal data distribution. The findings reveal a significant relationship between subscription duration and overall spending, a strong correlation between consumer satisfaction and loyalty, and a notable impact of perceived service quality on subscription continuation. These insights highlight the critical role of high service quality in retaining and expanding subscription bases and offer practical recommendations for businesses to optimize their subscription models. Future research should explore a broader range of e-commerce platforms and diverse consumer demographics to enhance understanding of subscription dynamics.

The Role of BNPL application in Boosting Consumer Purchasing Power During Economic Downturns: An Analytical Review and Strategic Implications

This study explores the influence of Buy-Now-Pay-Later (BNPL) application on consumer purchasing power during economic downturns. By providing a buy-now-pay-later option, BNPL application offers consumers financial flexibility that is particularly crucial in times of economic uncertainty. The research employs both quantitative and qualitative methods to analyze data from consumer surveys and expert interviews. Results indicate that BNPL application significantly enhances consumer spending capacity by allowing deferred payments, thus maintaining purchasing activity even during financial strains. However, potential risks such as increased consumer debt are also discussed. The study concludes with strategic implications for e-commerce platforms and policymakers, suggesting ways to maximize the benefits of BNPL application while mitigating its drawbacks. This research contributes to a deeper understanding of financial technologies in supporting consumer spending and offers actionable insights for future economic resilience.

Pengaruh Ease Of Use Dan E Service Quality Terhadap Keputusan Pengguna Shopee Melalui Trust Pada Generasi Z Sidoarjo

The rapid development of digital technology has significantly changed many aspects of life, including the way Generation Z consumes and transacts. With the number of Generation Z members living in Sidoarjo Regency as many as 748,390 people, according to data from the Central Statistics Agency (BPS) in 2020, they are a fairly large demographic for e-commerce trends. This generation is known as an active user of digital technology, especially e-commerce platforms such as Shopee. Shopee as the platform with the most visitors in Indonesia in 2023 recorded 2.35 billion visits, making it an interesting subject to study. This study aims to examine how the quality of electronic services and ease of use influence Shopee user decisions, with trust as a mediating variable. Data were obtained from literature observations and analysis of current e-commerce trends. Previous research findings show mixed results regarding the relationship between these factors, creating opportunities for further exploration. Through a quantitative approach, this study is expected to provide in-depth insight into the consumption behavior of Generation Z in the digital era. The results are not only useful for e-commerce platforms in developing marketing strategies, but can also be an important reference in developing literature related to e-commerce and consumer behavior.

Development of Creative Economy for Madura Odheng Crafts Based on Digital to Support the SDGs in Relatively Underdeveloped Areas in Madura Island

Objective: One of the SDGs is to reduce inequality, including through economic empowerment for communities and improving access to technology. This research aims to: 1) explore the economic, philosophical, and cultural potential of Madura Odheng crafts; 2) develop a digital-based creative economy for Odheng crafts; 3) advance relatively underdeveloped areas through culture-based sustainable development. Method: The research method used is qualitative, employing exploratory research techniques. To obtain comprehensive data, the data collection methods include interviews, documentation, observation, and literature review. The data is then analyzed qualitatively following the stages proposed by Miles and Huberman. Results and Discussion: The results of the study show that the application of digital technology in the marketing and production of Odheng crafts has proven effective in enhancing competitiveness and market reach. E-commerce platforms, social media, and mobile applications help expand market access both nationally and internationally. Research Implications: The development of digital-based Odheng crafts supports sustainable development goals by creating an inclusive and sustainable economy. Originality/Value: the state of the art and the novelty expected from this research is the result of a study that addresses community welfare issues based on the potential of local culture as an economic source, primarily to address welfare issues in relatively underdeveloped areas. This involves analyzing regional typology based on the Klassen typology.

The Impact of Artificial Intelligence on eCommerce in the UAE from the Customer Perspective

The transformative impact of Artificial Intelligence (AI) on the burgeoning e-commerce sector in the United Arab Emirates (UAE). Focusing on consumer perspectives, the study examines the synergistic relationship between AI integration and the evolving e-commerce practices within the UAE. It highlights how the incorporation of AI redefines business operations and consumer interactions on e-commerce platforms, showcasing the UAE's leading position in innovation and technological advancement. Utilizing rigorous primary research methods, including surveys and interviews, alongside comprehensive secondary research, the findings reveal significant trends such as the predominance of younger demographics, a preference for personalized experiences, and growing concerns regarding data security and privacy. The results indicate a strong consumer inclination towards AI-driven features; however, respondents also underscore the necessity for enhanced data protection regulations and increased customization. This study underscores the importance of a balanced approach to AI implementation, emphasizing the critical role of customer trust and innovation in supporting the UAE's rapid e-commerce growth.