Online Purchase Research Articles

Elevating fraud detection: machine learning models with computational intelligence optimization

<span lang="EN-US">The amount of crimes committed online has undoubtedly increased as more people use the internet for e-commerce and other financial transactions. Machine learning algorithms have been created to detect payment fraud in online purchasing in order to address the issue. This study performs a thorough comparative examination of different metaheuristic optimizations as hyperparameter tuning methods; these are Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). They are used to optimize the ROC AUC of the three machine learning algorithms, namely X-Gradient Boost, Random Forest Classifier, and Light Gradient Boost Machine. Since the study's data are unbalanced, the determined metrics were ROC AUC. PSO offers consistent conditions for finding the best solution, according to our experiment. Without the inclusion of population annihilation strategies, PSO can achieve the greatest results in various situations which are different from GA, a consistent condition for finding the best solution, according to our experiment. Without the inclusion of population annihilation strategies, PSO can achieve the greatest results in various situations. The findings indicate that Random Forest Classifier provided the highest ROC AUC value both before and after the hyperparameter tuning process, with a score of 88.69% attained while utilizing PSO.</span>

FACTORS INFLUENCING ONLINE PURCHASE IN OMNICHANNEL STRATEGY OF X STORE

This research explores the factors influencing online purchasing decisions within the omnichannel strategy of X Clothing Store, focusing on a sample of 100 respondents. Utilizing a combination of univariate until multivariate analyses, the study examines the relationships between various independent variables such as gender, age, promotions/discounts, online stock availability, customer service satisfaction, shipping speed, and product information and the likelihood of making online purchases. Findings reveal that a significant majority of respondents (72%) engage in online purchasing, with key factors such as promotional availability (78%), customer service satisfaction (72%), and clear product information (69%) being crucial determinants of purchasing behavior. The analysis indicates that younger consumers (ages 18-42) are more inclined to shop online, while women exhibit a higher likelihood of making purchases compared to men. Additionally, the results demonstrate that factors such as shipping speed and online stock availability significantly influence purchase decisions. The study underscores the importance of optimizing these factors to enhance customer satisfaction and increase online sales for X Clothing Store. Overall, the findings provide actionable insights that can inform marketing strategies aimed at improving the online shopping experience.

Identifying legitimate websites selling medicines in South Africa

Background: The online sale of medicines has skyrocketed globally, where medicines are purchased in the comfort and privacy of one’s own home. However, there are an increasing number of illegal websites selling counterfeit and falsified medicines.Aim: The aim of this study was to review the information and medicines sold online through pharmacy websites in South Africa (SA) and their compliance with local legislation.Setting: The study setting comprised online pharmacy websites in SA.Methods: This quantitative descriptive study used a purposeful questionnaire based on the South African Pharmacy Council inspection questionnaire for pharmacies operating websites. Websites claiming to be an online pharmacy in SA were included.Results: There were 25 websites reviewed, which claimed to be online pharmacies. Majority (n = 22) were found to be legal websites, operated by a registered community pharmacy and required a prescription for the purchase of prescription only medicines. Few websites complied with legislation such as displaying the Y number (n = 5) and name of the responsible pharmacist (n = 10). The remaining three websites were not linked to physical pharmacies, none complied with legislation and supplied medicines without a prescription.Conclusion: Although the online sale of medicines is regulated in SA, not all websites complied with legislation. The study highlighted the importance of monitoring websites claiming to be online pharmacies and their compliance with legislation.Contribution: Four stakeholders, consumers; pharmacy websites; regulators and healthcare providers, were identified and their role outlined in promoting the safe online purchasing of medicines.

The Impact of Consumer Perceptions of Privacy and Security Risks on Re-purchasing Intention for Online Shopping in Chiang Mai Province, Thailand

Background and Aim: Chiang Mai Province, a growing economic center in northern Thailand, is a preferred mode of consumerism due to its convenience and wide product selection, but faces barriers to adoption due to concerns about these risks. This research investigates the impact of consumer perceptions of privacy and security risks on re-purchasing intention for online shopping in Chiang Mai Province, Thailand. The study aims to understand how these perceptions influence consumer behavior in the digital marketplace. Materials and Methods: A quantitative cross-sectional survey design was employed, with data collected from 385 online shoppers in Chiang Mai Province. The research instrument consisted of a structured online questionnaire assessing perceived privacy and security risks, as well as re-purchasing intentions. Multiple regression analysis was used to test the hypotheses. Results: The findings reveal that both perceived privacy and security risks significantly influence re-purchasing intention. Consumers who perceive higher levels of privacy and security are more likely to engage in repeat online purchases. The model explained a substantial proportion of the variance in re-purchasing intention, highlighting the importance of these factors in shaping online shopping behavior. Conclusion: This research provides valuable insights for e-commerce businesses and policymakers in Chiang Mai Province. By prioritizing and investing in measures that enhance consumer perceptions of privacy and security, businesses can foster trust, encourage repeat purchases, and drive sustainable growth in the online marketplace.

LAWS PERTAINING TO E-COMMERCE IN INDIAN CONTEXT

We live in a digitally advanced age. There isn't a single person here without internet access. India's youth rely entirely on the Internet for all kinds of tasks, including shopping, paying bills, and education. The shift to online buying had a significant effect on traditional shopping methods. The main objective of this paper is to study the fundamental idea and legal framework of e-commerce in India's context. E-commerce , to put it simply, is the exchanging of both digital and physical goods and services over electronic networks and platforms as an alternative to traditional selling methods. By 2026, the Indian e-commerce market is projected to grow to a value of US$200 billion. India’s current e-commerce is growing by 21 % Compounded Annual Growth Rate (CAGR). The e-commerce business has seen increased investment as a result of the rise in digital literacy, which has also widened the base for new entrants. The advent of e-commerce in rural India has significantly transformed the lives of those living there. Not only did it demonstrate the viability of capturing the market, but it also gave rural residents employment opportunities. The world truly transforms into "Vasudev Kutumbakam'' with the aid of e-commerce. Nonetheless, the COVID-19 pandemic-related surge in internet sales and transactions provided fraudsters with a new window of opportunity. Frauds involving online shopping made about 38% of all frauds recorded worldwide in 2020. In order to counteract these kinds of frauds, the Indian government has created a number of rules and regulations. In order to protect internet users from identity theft, financial loss, exposure to pornographic content, asset seizure online, and other serious cybercrimes, the government passed the Information Technology Act of 2000. This act establishes legal measures to monitor and regulate the activities of computer devices that access the internet. However, these laws are insufficient to ensure that e-commerce runs smoothly. This research paper seeks to analyse the regulations and guidelines related to e-commerce in India. The paper also suggests that the realm of e-commerce should be the subject of more strict regulations. Keywords: Digitalization, Technology, E-Commerce.

Consumer Online Buying Behavior on Social Media Platform in Malaysia: A Conceptual Paper

The increased utilisation of social media platforms has been observed to influence consumer behaviour, particularly in online shopping context. This study aims to propose a conceptual framework regarding the factors influencing customer online buying behaviour on TikTok platform among younger generations for a Malaysian fragrance company. The method used for this conceptual paper is based on the literature reviews from journal articles related with the keywords and research area. This study proposed a conceptual framework to further identify and analyse the influence of brand awareness, product variety and psychological factors on online buying behaviour on TikTok. The framework will serve as a guideline for future academic research and practical industry applications by enhancing understanding of online buying behaviour among younger consumers in Malaysia’ fragrance market. The framework will help to inform strategic decisions for businesses and provide border implications for leveraging TikTok as a platform for e-commerce growth in the region

Analisis Etika Bisnis Islam dalam Transaksi Jual Beli Online di Indonesia

The development of the world of technology and increasingly advanced internet networks has an impact on people's consumption techniques, thus giving rise to new shopping channels, namely online. People's need for fast information is very easy, can be accessed by anyone, anytime and anywhere. Internet technology has a very big effect on trade or business. Can access information on goods from anywhere, both from prices, specifications, and making purchase transactions. The purpose of this study is to analyze Islamic business ethics in online buying and selling transactions in Indonesia. This research approach collects data through literature studies, which involve reading literature from various sources including books, journals and reports using qualitative and deductive approaches. The findings in this study are that the application of Islamic business ethics in online buying and selling transactions in Indonesia has not been fully implemented, because there are still some sellers who violate the principles of Islamic business ethics. One example is that there are still some sellers who provide escorts or summaries so that the goods received by the buyer do not match the specifications, the seller does not respond to goods complained about by the buyer, and there are still sellers who do not accept returns.

Analisis Green Marketing Terhadap Green Online Purchase Intentions Melalui Green Trust Sebagai Variabel Mediasi

Green marketing has now become an alternative strategy that can increase value for the company's business. Green trust that runs well to succeed green marketing and there will also be green online purchase intention for consumers. This study aims to determine whether Green Marketing affects Green Online Purchase Intention through Green Trust as a mediating variable on The Body Shop products in Sukabumi City. The sample of this study amounted to 200 respondents with SEM analysis techniques using AMOS software version 22. The results of this study indicate Green Marketing has a significant effect on Green trust, Green Trust does not have a significant effect on Green Online Purchase Intention, and Green Trust can mediate the relationship between Green Marketing and Green Online Purchase Intention for The Body Shop consumers in Sukabumi City.

Pengaruh Kredibilitas Influencer dan Consumer Review Terhadap Minat Beli Produk Ms Glow pada Platform Shopee

This research aims to analyze the influence of influencer credibility and consumer reviews on buying interest. The sampling method was purposive sampling technique. The questionnaires were distributed via buying online to 100 respondents.The collected date were analysed using Partial Least Square (PLS) . The results show that both the influencer credibility and consumer review variables are positive and significant influence on buying interest in MS Glow products on the Shopee platform. Has the highest influence on buying interest.

Price Sensitivity and Information Barriers to the Take-Up of Naloxone

We conducted a field experiment that randomized advertisements, advertisement content, and prices across 2,204 counties in the United States to study the impacts on online purchases of naloxone, an opioid overdose reversal drug. Advertising increased web-site users but only impacted purchases when combined with a price reduction. Messages emphasizing the discreet nature of online sales had no additional impact on purchases. Comparing counties with advertisements featuring a highly discounted price to those featuring the full price, we estimate a price elasticity of demand for online naloxone of −1.3. Price is a significant barrier to online purchases of this lifesaving medication. (JEL C93, H75, I12, I18, L65, M37)

Understanding the consumer's intention to purchase reproductive health products from e-commerce sites

The emergence of the Internet, together with the expansion of associated technologies, has had a profound influence on every possible field. Of great importance to marketers has been the rise of virtual stores that facilitate the online sale of goods and services. Although the majority of marketers have recognized the significance of including the Internet in their marketing strategies, there is a lack of scientific study on the key elements that impact an individual's decision-making process in the purchase of female reproductive healthcare products. The women's health market in India is projected to grow to $1.325 Billion by 2030, from $0.726 Billion in 2022. The study employed a survey instrument with 448 participants who frequently make online purchases of reproductive healthcare products. The results indicated that purchasing through e-commerce sites has gained extensive popularity among female customers due to social influence, customer experience, cost-effectiveness, performance expectancy, effort expectancy, and facilitating conditions in its ability to save time and space. The study also indicated that advertising through social media has a profound impact on female customers in their purchase decisions to buy reproductive healthcare products.

Constructing an integrated model of tourism livestreaming acceptance: scale development and validation

ABSTRACT This research conceptualises tourism livestreaming as an innovation and conducts rigorous scale development of tourism livestreaming acceptance. Tourism livestreaming acceptance is identified as a four-dimensional construct, including acquisition, emotional connection, transformation, and recommendation, which collectively portray comprehensive acceptance. Moreover, the stimuli-organism-response framework serves as a theoretical model that reveals the ‘stimulus-catalytic-acceptance-realization’ influence framework. It is found that acquisition only positively affects offline travel behaviour but not online purchase behaviour, highlighting the differentiation of TLS acceptance dimensions. The results contribute to the enrichment of research on continuance and technology acceptance and provide diagnostic tools for timely prediction, supervision, and segmentation by managers.

AI-driven personalization framework for SMES: Revolutionizing customer engagement and retention

In today's competitive business landscape, Small and Medium Enterprises (SMEs) face unique challenges in building and maintaining strong customer relationships. An AI-driven personalization framework offers a transformative solution by enabling SMEs to deliver highly targeted and individualized customer experiences, improving both engagement and retention rates. This review outlines how artificial intelligence (AI) can empower SMEs by integrating data-driven insights with customer interaction processes to revolutionize business practices. AI-driven personalization leverages machine learning algorithms, natural language processing (NLP), and predictive analytics to analyze customer behaviors, preferences, and feedback. By aggregating data from various sources—such as online interactions, purchase histories, and social media activity—AI can generate personalized recommendations, offers, and communication strategies that resonate with individual customers. The framework facilitates dynamic customer segmentation, allowing SMEs to tailor marketing efforts and enhance service delivery. The personalization process also extends beyond marketing by optimizing customer support through AI-powered chatbots and recommendation systems, which provide real-time solutions and advice. This level of personalization fosters stronger emotional connections, increasing customer satisfaction and brand loyalty. Additionally, AI-driven insights enable SMEs to anticipate customer needs, predict churn rates, and proactively address potential issues, thereby boosting retention rates. For SMEs, the implementation of an AI-driven personalization framework is not only cost-effective but scalable, making it accessible even to businesses with limited resources. As SMEs increasingly adopt digital tools, the integration of AI-based personalization becomes essential for staying competitive in a rapidly evolving market. This review highlights the potential of AI in transforming customer engagement strategies for SMEs by offering a tailored, efficient, and sustainable approach to enhancing customer experiences.

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.

Pengaruh Diskon, Promosi dan Kualitas Pelayanan terhadap Keputusan Pembelian Online dengan Menggunakan Aplikasi Alfagift

This research aims to determine the influence of discounts, promotions and service quality on purchasing decisions using the Alfagift application in Muara Bulian. The analysis used is quantitative analysis using validity and reliability tests, multiple linear regression analysis, t test, F test and coefficient of determination (R2). The research results show that simultaneously there is a significant influence between the discount, promotion and service quality variables on online purchasing decisions using the Alfagift application, but partially only the discount variable does not have a significant influence on online purchasing decisions using the Alfagift application in Muara Bulian.

Business and Customer-Based Chatbot Activities: The Role of Customer Satisfaction in Online Purchase Intention and Intention to Reuse Chatbots

In the online shopping context, brands aim to achieve a high level of profit by providing better customer satisfaction by using various artificial intelligence tools. They try creating a satisfactory customer experience by creating a system that provides never-ending customer support by using dialog-based chatbots, especially in the field of customer service. However, there is a lack of research investigating the impact of business and customer-based chatbot activities together on online purchase intention and the intention to reuse chatbots. This research considers the use of chatbots as a marketing tool from both customer and business perspectives and aims to determine the factors that affect the customers’ intention to purchase online and reuse chatbots. Accordingly, the impact on customer satisfaction with chatbot usage, which is based on chatbots’ communication quality and customers’ motivations to use chatbots, on online purchase intention and intention to reuse chatbots was examined. Through an online questionnaire with two hundred and ten participants, employing structural equation modeling, we revealed that customer satisfaction with chatbot usage has a greater impact on the intention to reuse chatbots than on online purchase intentions. In addition, chatbot communication quality has a greater impact on customer satisfaction with chatbot usage than customers’ motivation to use chatbots. To solidify these findings, confirmatory factor analysis, along with reliability and validity assessments, were implemented within the analytical framework to provide robust support for the study’s hypotheses. These findings not only provide empirical evidence and implications for companies in online shopping but also extend the understanding of AI tools in marketing, highlighting their subtle impact on consumer decision-making in the dynamic digital marketplace.

Perancangan Aplikasi Penjualan Online Berbasis WEB Pada Toko Kokoon Store Lamandau

One of the applications needed in the business world, especially in terms of technology, is thisonline sales application. Where currently, society and businesses are influenced by technology.Moreover, when it comes to the Internet, many societies and even companies use Internetconnections for various purposes. One of them is that they can make purchases and sales online,known as e-commerce, which allows customers to make transactions anytime and anywhere. Intoday's internet era, selling shoes online has become a popular trend. However, the Kokoon StoreLamandau which sells various types of shoes does not yet have an application that can helpcustomers make purchases online. The purpose of this research is to help customers use the Internetas a tool to make purchases anytime and anywhere they want. A systematic approach modifiedinto the SDLC (System Development Life Cycle) model is used in the design and development ofthis online sales system. It is hoped that this application will help Kokoon stores increase sales andmarket their products.

The Dominance of TikTok in Shaping Online Purchasing Intention

In recent years, TikTok has emerged as a dominant force in the realm of social media, captivating millions worldwide with its short-form video content. This paper explores the significant influence of TikTok on consumers' online purchase intentions. Through an examination of relevant literature and empirical studies, the paper elucidates the mechanisms through which TikTok impacts consumer behavior and decision-making processes. It delves into the role of user-generated content, influencer marketing, and algorithmic recommendations in shaping consumer preferences and driving purchase intentions on the platform. Additionally, the paper discusses the unique features of TikTok, such as its immersive and engaging format, personalized content delivery, and seamless integration of e-commerce functionalities, which contribute to its efficacy as a persuasive tool for brands and marketers. Furthermore, the paper highlights the implications of TikTok's dominance for businesses seeking to leverage the platform for marketing purposes and outlines strategies for effectively harnessing its potential to enhance online sales and brand engagement. Overall, this paper sheds light on the transformative influence of TikTok in the digital landscape and underscores its pivotal role in shaping contemporary consumer behavior and purchase intentions.

Understanding Gen Z’s Online Purchase Behavior through their Hedonic and Utilitarian Motivation

The COVID-19 pandemic ushered in lockdowns, limiting consumer movement to their homes and preventing consumers from shopping in brick-and-mortar stores. Consequently, consumers were reliant on e-commerce to manage their daily purchases of goods and services. This exacerbated the use of e-commerce and fast-tracked the growth of the digital economy. In this study, Gen Z’s consumer motivation is investigated using hedonic and utilitarian motivation and the Unified Theory of Acceptance and Use of Technology (UTAUT). Consumer motivation remains a crucial part of consumer behavior studies given its prominence in influencing consumer action, consumer decision-making and preferences. In particular, the effects of hedonic and utilitarian motivation on online purchase behavior were investigated. This study utilized a quantitative approach through the deployment of a survey questionnaire online. The data from 156 respondents was analyzed using SmartPLS 4.0 utilizing Partial-Least Squares Structural Equation Modelling. Approximately 44% of the respondents started shopping online for the first time during the pandemic (i.e., 2020 and 2022). The results indicated that the Gen Z respondents were motivated by utilitarian and hedonic motivation when shopping online, in particular by Idea Shopping motivation and Efficiency motivation. Additionally, Social Influence and Facilitating Conditions were significant factors in influencing Behavioural Intention, and Behavioural Intention influenced Purchase Behaviour. The evidence suggests that the respondents were not novice online shoppers but rather experienced online shoppers.

The Impact of Visual Stimuli on Online Shopper’s Emotion: Applying S-O-R Theory in Online Fashion Retail

This study investigates the impact of visual stimuli on consumer emotions and purchase behaviour in online shopping environments, using the Pleasure, Arousal, and Dominance (P-A-D) model as a theoretical framework. It investigates how visual aspects, including website aesthetics, product photography, and design complexity, influence consumer pleasure, arousal, and dominance, ultimately influencing purchase intentions. Visually appealing and well-planned visual material makes consumers feel better, increasing engagement and the likelihood of purchasing. Furthermore, it discovers that increased arousal can lead to impulsive purchasing behaviours, yet a sense of power or control increases consumer confidence and satisfaction. The study emphasises the necessity of combining visual and experiential aspects to create immersive online buying experiences. Theoretical implications recommend a more in-depth analysis of the P-A-D model's applicability in e-commerce. In contrast, managerial implications assert visual design optimisation to improve consumer interactions and sales.