Growth Of E-commerce Research Articles

Analysis of the Development of E-Commerce Transactions in the 6 Highest Transaction Countries in Southeast Asia

The background of this study is driven by the significant growth of the internet, particularly in the Southeast Asian region, which has led to technological advancements and the emergence of e-commerce. E-commerce has become crucial for meeting consumer needs, highlighting the necessity to further enhance the potential of economic digitalization through e-commerce. This study aims to examine the impact of e-commerce development factors on the growth of e-commerce transaction values in six Southeast Asian countries. It utilizes secondary data sourced from the official e-Conomy SEA website and DataReportal. The research employs panel data regression analysis using the Random Effects Model (REM) approach. The findings indicate that increases in population, number of social media users, and mobile phone users significantly contribute to the growth of e-commerce transaction values, urging platform developers and policymakers to enhance digital infrastructure and marketing strategies to maximize the digital economy potential in Southeast Asia.

Unveiling the Path to Mobile Payment Adoption: Insights from Thai Consumers

Mobile payment, replacing traditional methods like cash and cards, offers users convenience and accessibility, benefiting individuals, businesses, and governments. However, most research on mobile payment adoption has primarily focused on developed countries, leaving a gap in understanding the adoption factors in developing nations. This study addresses this gap by investigating the determinants of mobile payment adoption in Thailand, an emerging economy experiencing significant smartphone adoption and e-commerce growth. Through a quantitative approach and a survey of 475 Thai consumers, this research applies an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical foundation to examine Thai consumers’ mobile payment adoption. Data analysis using SPSS 28.0 and AMOS 28.0 identifies key factors influencing Thai consumers to adopt mobile payment. By offering a comprehensive research model and considering evolving smartphone technology, this study aims to guide policymakers and stakeholders in promoting mobile payment adoption, ultimately enhancing Thailand’s economic development and tourism industry.

Pengaruh E-Commerce terhadap Minat Belanja Mahasiswa FEBI

The rapid growth of e-commerce has significantly transformed consumer behavior, particularly among university students. This study examines how e-commerce platforms affect the interest and shopping preferences of students of the Faculty of Economics and Islamic Business, UIN Sultan Maulana Hasanuddin Banten. By analyzing data from surveys conducted among students, the research identifies key factors that drive their engagement with online shopping. These factors include convenience, variety of products, competitive pricing, and the ease of comparing different products. The study also highlights the role of technological advancements, such as mobile applications and secure payment gateways, in enhancing the online shopping experience. Furthermore, it explores the psychological aspects, such as the excitement of online deals and the influence of social media advertising, on students' shopping habits. The findings suggest that e-commerce has not only increased the frequency of students' purchases but also diversified their buying patterns. However, the study also addresses potential challenges, such as the risk of overspending and the impact of impulsive buying. Overall, the research provides valuable insights into the evolving landscape of consumer behavior in the digital age, emphasizing the importance of e-commerce in shaping the shopping interests of the younger generation.

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

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

Analysis of Contemporary College Students’ Preference for Online Promotion Activities — Youth Choice Under the Online Shopping Trend

With e-commerce’s surge, online shopping is vital for college students. Market expansion fuels diverse promotions, shaping purchasing decisions. This paper explores student preferences to inform effective marketing. Research focuses on attitudes towards online promotions. 800 questionnaires analyzed preferences, impact on shopping, and non-participation reasons. Data mining compared online vs. traditional promotions. Pearson correlation linked promotions to shopping intent. K-means clustering segmented students for targeted marketing. Advanced models delved into promotion-behavior dynamics. Logistic regression predicted purchasing reactions. Findings: students prefer discounts, but value shopping experience and after-sales service. Enterprises should enhance promotions, improve product quality, service, and brand image. Innovative, targeted strategies address diverse consumer groups. Social media and campus feedback aid market positioning. Enterprises must personalize and diversify college market approaches, leveraging advanced data analysis. Future studies can explore regional, professional differences, using big data to uncover trends, offering insights for e-commerce growth.

Growth of E-Commerce and Rural India

Abstract: E-commerce is the trading of products and services through the medium of the Internet. In this paper, we present factors that are fuelling growth in the e-commerce sector inIndia. The methodology of my study is fromsecondary sources such as articles, journals,reports, papers, blogs, and conference proceedings. E-commerce is one of the fastest-growing businesses, with India having great investment market potential. There has been a huge surge in investment since last year and more is expected in coming years. The rapid growth in the use of mobile and internet users has facilitated e-commerce business in both urban and rural cities. India'se-commerce revenue is expected to jump from $30 billion in 2016 to $ 120 billion in 2020, growing at an annual rate of 51%, the highest in the world, according to a joint ASSOCHAM- Forrester study paper.

Trends and prospects for the development of e-commerce in the Republic of Kazakhstan

In recent years e-commerce has begun to play a significant role in the development of a market economy. Every year, its influence grows, changing the surrounding market infrastructure and people's attitude to the new conditions of digital commerce. The purpose of the article is to determine the features and prospects of the development of e-commerce in the Republic of Kazakhstan. The domestic online sales market is considered as an object of research. The paper analyzes the current state of the e-commerce market, identifies the main trends and prospects for its development. The dynamics of the development of e-commerce in the period from 2016-2022 is presented, the main factors that have a positive impact on the growth of e-commerce, such as a high level of digitalization, the development of new digital technologies in the market of non-cash payments and others are considered. The factors that have a negative impact on the domestic online sales market have been identified: underdevelopment of the logistics infrastructure, rising inflation, an insufficiently effective mechanism for regulating online commerce and consumer protection. To assess consumer behavior in regions with a less developed e-commerce market, a survey was conducted among residents of the Abai region, which allowed to determine the prospects for the development of this market. Measures have been proposed to develop the logistics infrastructure and introduce innovative delivery methods that will contribute to the growth of the industry. The results of the work can be used in the development and implementation of programs in the field of stimulating the development of the e-commerce market and improving its infrastructure.

PENGARUH SALES PROMOTION DAN SHOPPING LIFE STYLE TERHADAP IMPULSIVE BUYING DENGAN POSITIVE EMOTION VARIABEL INTERVENING DI TOKOPEDIA

E-commerce has experienced rapid growth in recent years, one of which is Tokopedia and has a significant role in influencing purchasing decisions. The growth of e-commerce has made marketers strengthen their marketing strategies with Sales Promotion which can encourage consumers to make impulse buying decisions also influenced by Shopping Lifestyle and Positive Emotion plays a significant role as a mediator. The purpose of this study was to analyze the effect of Sales Promotion and Shopping Lifestyle on Impulsive Buying which is influenced by Positive Emotion at Tokopedia. This research method uses a quantitative approach with descriptive analysis method. The questionnaire was distributed to 385 respondents using Purposive Sampling technique and processed using Structural Eqquation Modeling - Partial Least Squre with SmartPls software version 4.0.9. The results of this study indicate that Sales Promotion, Shopping Lifestyle, Impulsive Buying, and Positive Emotions affect each other.

Анализ рынка услуг Российской Федерации в условиях цифровизации

The services market in the Russian Federation covers a wide range of sectors, including finance, healthcare, education, tourism and IT services. Key trends include digital transformation, the growth of e-commerce and the growing demand for personalized services. Challenges include regulatory complexities, economic instability, and changing consumer preferences. The market offers opportunities for innovation, especially in areas such as financial technology, healthcare technology and online services. The article presents data reflecting the indicators of the Russian Federation services market, as well as their forecast data.

Development and Management of E-Commerce Information Systems Using Edge Computing and Neural Networks

E-commerce refers to implementing e-commerce on mobile devices, cell phones, and mobile Internet connections. The fast advancement of mobile electronic gadgets and mobile Internet connections has facilitated the emergence of this new e-commerce market. The e-commerce systems contain several concealed client behavior data and forthcoming growth patterns. Data mining technologies extract valuable data and facilitate the growth of e-commerce. This article focuses on studying mobile e-commerce systems within the framework of edge computing, specifically in the setting of industrial clusters. This study examines the importance and benefits of data mining techniques in implementing e-commerce management platforms using neural networks. It also evaluates the corresponding methods of data mining and predicts purchasing trends. The study has used the benefits of grouping and back propagation neural network approaches in data analytics to categorize goods details, buying tastes, and related data. The advantage of neural networks in processing nonlinear patterns is employed to forecast forthcoming buying power. The findings demonstrate that data analytical methods and neural networks exhibit higher precision in predicting the buying pattern. The correlating factor between actual and projected usage information was 0.98, with the highest relative average inaccuracy of 2.4%. Data mining technologies effectively extract previously unrecognized relevant data and anticipated buying patterns in e-commerce platforms. Neural networks have a solid ability to predict future consumption capacity and consumption behaviors accurately.

A Literature Review of Digital Economy in China: Trends, Drivers, and Implications

The digital economy, characterized by the use of digital tools and platforms for various economic activities, holds paramount importance in shaping contemporary economies. This work conducts a thorough review of Chinas digital economy, focusing on key trends, influential drivers, and their extensive implications. This review begins by examining prevailing trends, encompassing technological advancements and the growth of e-commerce. Subsequently, it delves into the regulatory, innovative, and market forces propelling Chinas digital transformation. The implications of Chinas digitalization on industries and societal dynamics are also investigated. This review reveals how Chinas digital economy is fundamentally reshaping its economic and social landscape. Drawing primarily from evidence in the political, economic, and socio-cultural realms, this work underscores the broad macro-level implications. However, the review provides a limited exploration of certain potentially significant factors, such as environmental considerations and the convergence of digital technologies with other industries and regions. Future research directions should delve deeper into sector-specific digital transformation trends, offering a more focused perspective on the opportunities and challenges emerging from this transformative digitization.

THE INTERPLAY BETWEEN E-COMMERCE OPTIMIZATION, CONSUMER TRUST, AND IMPULSIVE BUYING: A COMPREHENSIVE ANALYSIS

This study investigates the burgeoning e-commerce market in Thailand, focusing on consumer trust, e-commerce optimization, and impulsive buying behaviors among Generation Z. With a significant portion of Thailand's population engaging in online shopping, the study aims to understand the factors influencing consumer trust and the impact of e-commerce optimization on impulsive buying. Using a quantitative approach, data were collected from 721 respondents aged 18-28 and data analysis using SEM-PLS. The main findings show that e-commerce optimization has a significant positive correlation with consumer trust (R² = 0.965) and impulsive buying (R² = 0.988). This research provides practical contributions for e-commerce practitioners to enhance their marketing and operational strategies based on these findings The results indicate a strong positive correlation between consumer trust and e-commerce optimization, The practical implications of these findings suggest that e-commerce platforms should focus on enhancing their security features and user-friendliness to foster consumer trust, which in turn can lead to increased impulsive buying. Additionally, businesses can utilize these insights to design more effective marketing strategies that leverage consumer trust to drive impulsive purchases. This research provides practical contributions for e-commerce practitioners to enhance their marketing and operational strategies based on these findings. Despite challenges such as consumer trust issues and logistical inefficiencies, the potential for e-commerce growth in Thailand remains substantial, driven by government support and private sector innovation.

Industri Kreatif dan E-Commerce

The creative industry has become an important pillar in the modern economy, especially with the emergence of e-commerce as the main platform for distribution and marketing of creative products. This research examines the relationship between creative industries and e-commerce, as well as the impact of their integration on economic growth, job creation and innovation. Through analysis of various case studies and statistical data, it was found that e-commerce not only expands the market reach for creative products but also encourages industry players to improve the quality and diversification of their products. Additionally, the digital technology that supports e-commerce provides tools for creators to interact directly with consumers, collect feedback, and adjust product offerings according to market needs. These findings show that the synergy between the creative industry and e-commerce has great potential to increase overall economic competitiveness.

Self-adaptive metaheuristic-based emissions reduction in a collaborative vehicle routing problem

Global climate change-related initiatives such as the 2015 Paris Agreement have highlighted the necessity of sustainable transportation. Nevertheless, the rapid growth of e-commerce has notably escalated vehicle kilometres travelled (VKT) and CO2 emissions within cities, posing a direct challenge to sustainability initiatives. To address these challenges, this study formulates a collaborative multi-depot green vehicle routing problem. This model utilises micro-consolidation centres (MCCs) as shared hubs alongside a microscopic approach linking emission rates to vehicle and route characteristics, in order to assess MCCs' effectiveness in reducing CO2 emissions. Introduced here is an innovative self-adaptive metaheuristic algorithm hybridising intelligent water drops and simulated annealing. This methodology differs from established approaches by incorporating a feedback control system that actively monitors the algorithm's performance and convergence towards the global minimum solution. Through continuous adjustments to algorithm parameters via a feedback loop, this methodology strikes a balance between exploitation and exploration. The algorithm is tested in a context-specific approach, first applying it to the Cordeau benchmark and comparing it with previous state-of-the-arts, followed by a case study comparing the collaborative network to an independent one. This approach achieves 43 % and 25 % reductions in VKT and emissions, respectively, enhancing urban logistics networks' efficiency and sustainability.

The Role of Last-Mile Delivery Quality and Satisfaction in Online Retail Experience: An Empirical Analysis

The rise of the e-commerce industry has markedly changed the global economy, providing customers with unparalleled access to goods and services. This study empirically examines online shoppers’ perceptions and preferences, focusing on their experiences with last-mile delivery (LMD) services and its impact on their shopping behaviour. This research employs machine learning classification and regression models for a large-scale analysis of customers’ responses, collected using an online survey in the main cities in Saudi Arabia, which is experiencing rapid e-commerce growth amidst a broader digital transformation. The findings highlight a strong consumer preference for timely LMD services, typically within a day of purchase, while noting dissatisfaction with exceedingly early delivery windows. The research emphasises the need to address customer dissatisfaction with delivery services to retain clientele, as many may switch retailers without informing the retailers. Additionally, a considerable trend towards preferring digital over cash-on-delivery payment methods was observed among online shoppers. Overall, this study provides valuable insights into the significant influence of LMD services on customer satisfaction and behaviour in the e-commerce sector. The use of robust machine learning models has revealed critical factors that can guide retailers and LMD providers in enhancing service delivery and customer experience, contributing to the broader discourse on e-commerce logistics efficiency and customer satisfaction.

Protecting privacy in the digital marketplace: A comparative study of legal mechanisms for consumer rights in the metaverse

The promotion of fair trade and consumer protection is the heart of every nation. The world, during the struggles of the COVID-19 pandemic, has witnessed huge growth in e-commerce markets and has scaled new heights by reducing e-physical barriers and maintaining social distancing. E-commerce entities have been trying to fill the gaps in their business by incorporating a new type of e-commerce market called business to avatar (B2A) through the metaverse. These technologies have been providing personalised recommendations and have been very profitable for every e-commerce platform and consumer. However, this win-win situation is marred by an increase in consumer privacy and data protection concerns. This paper explores the legal regulations protecting consumer privacy in India, analysing whether the existing legislation adequately addresses contemporary privacy challenges, especially when compared to the robust legal framework in the US and EU. Based on the research, the authors observe that: (i) adoption of the metaverse application in e-commerce has fundamentally benefited consumers; (ii) the developing e-commerce market has been adversely impacted by consumer privacy and data protection concerns; and (iii) to create a balance between developing e-commerce industries and to build consumer trust the regulators are required to improve the level of supervision along with imposing a huge penalty for data breaches. Finally, a way forward is suggested to achieve a constitutional mandate for the state to protect the fundamental right to privacy of every individual.

The economic impact of crowd-shipping based on public transport in Egypt: a GA approach.

The last-mile delivery challenges and complexity are increasing simultaneously with the e-commerce growth, the e-commerce growth constitutes a threat to urban transport, especially for big cities and developing countries. This paper examines the economic impact of crowd-shipping based on public transport collaborated with the automated parcel locker and the impact of traditional delivery, as two different methods of last-mile delivery under the same circumstances. This paper aims to assess crowd-shipping as an alternative solution for last-mile delivery compared to traditional delivery. Data has been simulated based on Cairo reality, one of the largest cities in the world. The mathematical models were formulated for the problem, where the first model objective function minimizes the costs of vehicle possession and vehicle kilometers traveled, while the second model objective function minimizes the costs of establishing lockers, vehicle possession, and vehicle kilometers traveled. A genetic algorithm has been used due to the complexity of the problem. The results show that the economic impact of the crowd-shipping delivery system is better than the traditional delivery system under the conditions of large-sized and medium-sized demand, while the economic impact of traditional delivery is better than the crowd-shipping delivery system under the conditions of small-sized demand.

Elevating Online Shopping Using MERN Stack

Abstract: This project presents the design, development, and implementation of an online shopping platform aimed at enhancing the retail experience for both consumers and businesses. The rapid growth of e-commerce has revolutionized the way consumers shop, creating a need for robust and efficient online shopping platforms. This research paper explores the potential of the MERN stack (MongoDB, Express.js, React.js, and Node.js) in developing a comprehensive and user-friendly online shopping solution. By leveraging the strengths of these modern technologies, we aim to elevate the online shopping experience, addressing key challenges such as performance, scalability, and seamless user interactions. Through a combination of theoretical analysis and practical implementation, we demonstrate the effectiveness of the MERN stack in creating a responsive, secure, and featurerich online shopping platform.

Analisis Model Altman Z”-Score Sebagai Prediksi Kebangkrutan

The retail business is a great opportunity for Indonesia because some people earn income from selling retail goods, but in recent years retail companies in Indonesia have experienced a slowdown, impacting many large and well-known retail outlets in Indonesia that have begun to stop their business for various reasons. Increasingly sophisticated technological developments such as the emergence of e-commerce that is more attractive to buyers because of the ease of transacting at a much more affordable price is one of the reasons. This study aims to analyze the prediction of potential bankruptcy in retail subsector companies on the Indonesia Stock Exchange for the 2018-2021 period by applying the Altman Z"-Score model. Sampling using purposive sampling techniques with samples of five retail companies listed on the IDX for the 2018-2021 period with a total of The sample is 5 companies, namely GLOB, HERO, MKN, MPPA and TRIO. This research uses a type of descriptive research using quantitative methods. Based on the results of research the Altman Z "-Score method categorizes companies in three categories, namely not bankrupt (safe zone) with a cut off value of Z" > 2.60; prone (gray zone) with a cut off value of 1.10 < Z'' < 2.60 and bankrupt (distress zone) with a cut off value of Z" < 1.10, which means that the company in the HERO category is in the gray zone or it could be said that the company is in a vulnerable condition. This is indicated by a Z"-Score value of 1.10 < Z "< 2.60. MKNT is in the distress zone position, the company shows a decreasing and negative Z"-Score value, namely Z"-Score < 1.10, which means the company is in a state of bankruptcy, the Z" value. -The score is decreasing and negative, namely the Z"-Score value < 1.10 which means the company is in a state of bankruptcy. Based on these results, the Z"-Score value is < 1.10 which means the company is in a bankrupt position. So suggestions for a) company managers who have a Z"-Score < 1.10 are expected to optimize the e-commerce platform as an alternative to cut working capital costs, land rental costs and cut other escalating costs and for investors it can be a consideration in taking investment decisions to minimize losses by utilizing Altman Z"-Score analysis.

THE RELATIONSHIP AMONG STORE IMAGE, PERCEIVED PRICE, PERCEIVED VALUE AND CUSTOMER EXPERIENCE ON PURCHASE INTENTION (THE CASE OF TRADITIONAL RETAIL STORES, PHRANAKHON SI AYUTTHAYA PROVINCE, THAILAND)

As retail competition intensifies and technological advancements drive the growth of e-commerce, traditional grocery stores in Thailand face significant challenges. This study aims to understand consumers' purchasing intentions toward traditional grocery stores with the goal of extending their operational lifespan. The research explores the correlations between store image, customer experience, perceived price, perceived value, and purchase intention. The study distributed questionnaires to a sample of traditional grocery stores in Phra Nakhon Si Ayutthaya, collected 226 valid responses, and analyzed them using SPSS software for regression analyses. The study's results indicate those consumers' perceptions of store image, perceived price, customer experience, and perceived value have a positive influence on their purchase intentions towards traditional grocery stores. Additionally, perceived value acts as a partial mediator in the relationship between the aforementioned variables and purchase intention. This suggests that consumers assess traditional grocery stores comprehensively, taking into account various factors, both positive and negative, which ultimately indirectly affect their purchase intentions.