Make Online Purchases Research Articles

The Measurement of Consumers’ Purchase Intention in E-commerce by Electronic Service Quality: Mediation Test of E-satisfaction and E-trust

As a result of the constantly changing digital environment, people change in terms of running a business or purchasing products. Customers can grab what they want easily because online transactions reduce or remove the distance barrier, making them more comfortable purchasing the products online. This study investigates several factors that affect customers’ intention to purchase: E-service quality as the main factor, e-satisfaction and e-trust. This research employs a quantitative descriptive approach by surveying 150 respondents across Indonesia who have connected to the internet and regularly make online purchases through Indonesian e-commerce named Shopee, Lazada and Tokopedia. The result of this study affirmed that e-service quality has a direct and significant influence on e-satisfaction, e-trust and purchase intention, respectively. E-trust was also found to directly and significantly influence purchase intention and mediate the relationship between e-service quality and purchase intention. However, e-satisfaction does not directly and significantly influence purchase intention or mediate the relationship between e-service quality and purchase intention.

Unveiling the determinants of online shopping: Insights from a developing nation

This study examined the factors influencing online purchases among consumers in Bangladesh, employing a modified version of the Technology Acceptance Model (TAM). Data from 353 individuals in Bangladesh revealed that perceived ease of use, social influence, security, convenience, trust, emotional experience, and functional experience significantly positively affect the intention to purchase online. Additionally, results show that the intention to purchase online significantly positively affects actual online purchases. Findings further highlighted that intention to make online purchases mediated the influence of perceived ease of use, social influence, security, convenience, trust, emotional experience, and functional experience over online purchases. The study provides significant practical recommendations to help businesses and consumers support online purchasing with diverse advantages.

Modelling the Predictors of Social Media Marketing on Consumer Buying Behavior in Malaysia

Despite the rapid increase in internet and mobile users in Malaysia, the growth of online purchases through social media platforms has not kept pace with this broader digital trend. This study investigates the key predictors that influence consumer buying behavior through social media marketing, with a specific focus on the roles of Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of these platforms. Employing a quantitative cross-sectional research design, data were collected from 115 respondents in Malaysia who have experience making online purchases via mobile applications. The study also examines variations in consumer experiences based on demographic factors, including age, gender, education level, and geographic region. The findings indicate that both PEOU and PU are significant predictors that shape consumer buying behavior on social media platforms. This research provides valuable insights for marketers seeking to enhance the effectiveness of their social media marketing strategies. By better understanding the factors driving consumer behavior in the Malaysian market, businesses can design more targeted and personalized campaigns for specific consumer segments, ultimately improving their competitive advantage in this digital landscape.

THE FACTOR INFLUENCES STUDENT’S ONLINE PURCHASING EXPERIENCES ACROSS A VARIETY OF SOCIAL MEDIA PLATFORMS

This study examines the experiences of students at a university in northern Malaysia who make online purchases using social media platforms such as Facebook, TikTok, and Instagram. TikTok, and Instagram. Social media has become an important online shopping platform due to the rapid growth of e-commerce, and it has a huge impact on consumer behavior, especially for younger consumers.The aim of the study is to understand what motivates students to use different social media platforms to make their online purchases, as well as the benefits and difficulties encountered and the satisfaction obtained. There are three objectives studied in this study, which are to identify the factor of perceived usefulness that influences student’s online purchase intention, to identify the factor of perceived of ease-ofuse that influences student’s online purchase intention and to identify the factor of trust that influences students’ online purchase intention. This study was conducted using a thematic analysis, involving a total of seven university students as respondents. The results of the analysis show that there are five factors that influence online purchase decisions. The five factors are: demonstration factors, comments, convenience, trustworthiness, and engaging content. The findings of this study have successfully answered the research questions and research objectives as mentioned before.

Determinants of intention to purchase online eco-friendly items amongst university students in Nilai, Malaysia

This study investigates the determinants of intention to purchase online eco-friendly items among university students in Nilai, Malaysia. This research builds upon previous studies regarding consumers' intentions to buy environmentally friendly items digitally. The theory of planned behavior (TPB) is used in this study since its concepts are applicable and relevant to understanding people's intentions to buy environmentally friendly goods digitally in Malaysia. The present research examined the variables influencing consumers' intentions to buy various environmentally friendly goods digitally and evaluated how well they fit into the Malaysian industry. Surveys were sent as part of the project's quantitative analysis methodology to gather data. With an expected sample population of 361 learners, this study's approach entails data collection through purposive sampling. The results of this research indicated that each independent factor employed has an impact on people's decisions to buy environmentally friendly products online in Nilai, Malaysia. It provided input on elements that might help businesses organize their advertising strategies. The findings have an impact on research as well as practice. Corporations may execute viable concepts by drawing the link between the desire to buy and acquiring knowledge about the purchasing patterns of young customers. Thus, a company's market worth and income in Malaysia may increase. The research also adds to the body of knowledge regarding people's intentions to buy eco-friendly products via the internet by offering insightful information. By addressing a gap in the existing literature, the research's focus on this specific setting advances our comprehension of how people behave while making online purchases of environmentally friendly items within the Malaysian context. So, this study helps in building a resilient eco-system aimed at sustainable growth.

Online Grocery Shopping Intention after the COVID-19 Pandemic

Grocery shopping is a vital activity in people’s lives. During the Coronavirus 19 (COVID-19) pandemic, many consumers turned to online platforms to purchase food, resulting in a significant increase in online grocery shopping. Hence, this study aims to investigate the post COVID-19 online grocery shopping intentions in the USA using quantitative research conducted via online surveys on Amazon’s Mechanical Turk (MTurk). The sample of this study is composed of two hundred fifty-two (252) validated data collected for analysis. The majority of participants perceive online grocery shopping as a reassuring, useful, and convenient method for purchasing food. Merits of online grocery shopping include reduced impulse buying and a lower risk of injury compared to traditional grocery shopping. Suggestions regarding online grocery shopping from peers or other influential people do not directly impact participants’ future purchasing decision. Participants diligently review grocery items on website before making online purchases. The availability of a wide range of high-quality food products in online grocery stores encourages continued online shopping post-pandemic. It is anticipated that in the near future, online grocery stores may become the preferred choice for consumers to purchase their foods.

Digital Marketing and Consumer Behavior: Shanker Dev Campus Youth Perception

The objective of this research was to access the digital marketing landscape from students of SDC. The factor that were taken to consideration for this study were convenience, time saving, website design, motivation, cost , security/trust, communication, social media. This study finds that the emergence of digital marketing is at its peak in current business world. Thus, it is important for organizations to understand the importance of digital marketing from various perspectives to sustain in today’s digital world. The outcomes of the study reflect that the digital platform such as facebook, instagram, snapchat, tiktok and so on has a great influence in attracting customers through their online advertisement. This has made easier for the customer to find and compare all the relevant information about the product they want to purchase. And they find it more convenient and time saving to make online purchase. It has been observed through the study that customers tend to shop more through online platforms during sales, offers and festive seasons.

Online shopping behaviour on social media platforms from the perspective of trust and flow experience: a SEM-Neural Network Modeling

This study aims to examine online shopping behaviour on social media platforms. This study formulates a research model integrating trust with the flow theory and some basic constructs of the UTAUT. To analyze the data from an online survey involving 305 participants actively making online purchases through social media platforms. This study applied the Structural Equation Modeling-Artificial Neural Networks (SEM-ANN) technique. Incorporating statistically significant SEM findings, the ANN model was used to analyze linear and nonlinear interactions among proposed variables. The research findings demonstrate that flow emerges as the most significant determinant, succeeded by effort expectancy, social influence, and performance expectancy, in defining the concept of trust. However, the sensitivity analysis using ANN indicates that effort expectancy is the most important factor in establishing trust, followed by flow, social influence, and performance expectancy. The predictive power of intention to use is noteworthy in determining actual use behaviour, with trust and flow emerging as influential factors favourably impacting this intention.

Inbound social media marketing and increased sales in SMEs: a correlational study in the pet food industry

New market trends have prompted Peruvian companies to apply techniques aimed at attracting potential customers, that is, to use inbound marketing, especially in the pet market, which has a profitable and competitive niche, driven mainly by the “pet-friendly” trend. This research aims to determine whether inbound marketing actions have a positive correlation with online sales. The methodology is quantitative, correlation, cross-sectional, and non-experimental. The target audience is men and women, between 18 and 35 years old who have made online purchases in the Peruvian pet food SME, Rapi Pet S.R.L. The sample is non-probabilistic and is composed of 248 people who completed a structured questionnaire of 24 questions. The results show positive perceptions of both variables with values higher than 70% after applying the barometer test, the reliability of the questionnaire was also established under Cronbach’s alpha of 0.922 and a correlation coefficient of 0.66 was obtained for the variables, as well as a p-value lower than 0.05 after performing the normality test. It is concluded that there is a positive relationship between inbound marketing actions and the increase of online sales in the company under study.

Consumer Behavior in Online Shopping: A Comparative Analysis of Generational Differences

The consumer behavior in online shopping across different generations, focusing on Millennials, Generation X, and Baby Boomers. With the proliferation of e-commerce platforms, understanding how generational cohorts engage with online shopping is crucial for businesses aiming to effectively target and cater to diverse consumer preferences. Utilizing a quantitative research approach, this comparative analysis explores factors influencing online purchase decisions, including trust in online retailers, perceived risks, shopping motivations, and preferences for digital payment methods. variations in consumer behavior among generational cohorts. Millennials, characterized by their digital proficiency and preference for convenience, exhibit a higher propensity for online shopping and are more likely to embrace emerging technologies such as mobile commerce and social media influencers. In contrast, Generation X consumers prioritize product reviews and brand reputation when making online purchases, emphasizing trust and reliability in e-commerce transactions. Baby Boomers, while increasingly adopting online shopping for convenience, express concerns about data security and prefer traditional payment methods.

Implementasi Strategi Pemasaran Digital Melalui E-Commerce Shopee pada UMKM Keripik Putri Sari Desa Wonokerto

It cannot be denied that the digital era has developed greatly in today's society, especially among teenagers. All groups from children to the elderly are technologically literate because the world has begun to evolve. This allows people to enjoy and maintain their motivation in following existing technological developments, including the fields of social media and e-commerce which cannot be separated from the Internet. Media advertising using Internet technology or other technological media is commonly referred to as e-commerce, which has the advantage of being able to carry out buying and selling activities between sellers, and applications using Internet technology to make online purchases. Usually, the e-commerce widely used by business players is Shopee.The appearance of the website is attractive and easy to understand, which is an important thing for the public to pay attention to in e-commerce. Nowadays, small and medium-sized business stakeholders are beginning to realize that society is showing more interest in online shopping, as consumers are also embracing the development of digital pursuit technology and no longer need to go to a shopping place to get the goods they want, what is offered in e-commerce is no less competitive

Analysis of Factors Influencing Trust and its Impact on Repurchase Intention in C2C E-Commerce in Indonesia

The use of the internet has transformed individual shopping behaviors, shifting from traditional shopping patterns or visiting physical stores to shopping through online platforms or e-commerce. This behavioral change has undeniably had a significant impact on the retail industry and consumers at large. With the increasing number of e-commerce users, especially in the C2C (consumer to consumer) sector, market competition is becoming more intense. This study focuses on analyzing certain factors such as website appearance, ease of use, free shipping policy, return policy, POD mode of payment, and security that can influence customer trust and its impact on repurchase intention. Data collection was conducted through the distribution of online questionnaires in the Jabodetabek area to customers who had made online purchases in the last three months, using a purposive sampling method with a total of 228 respondents. The research method analysis used the PLS-SEM method. The results of this study indicate that website appearance, free shipping policy, return policy, and security have a positive and significant effect on trust. Meanwhile, ease of use and POD mode of payment have a positive but not significant effect on trust. Furthermore, trust has a positive and significant impact on repurchase intention. This study plays a role for C2C e-commerce management in increasing consumer trust, especially among the millennial generation, and its impact on repurchase intention.

Marketing Transformation of Agrochemical Products in Potential Exploitation E-Commerce

This study examines the transformation of agricultural chemical product marketing in exploring e-commerce potential. Rapid technological advancements provide new opportunities in product marketing, including agricultural chemicals. A significant number of farmers still do not use the internet, leading to uncertainty among chemical companies about whether digitalization can sustain their business. The purpose of this study is to determine the influence of Perceived Ease of Use, Perceived Behavioral Control, Perceived Usefulness, Subjective Norms, and Digital Literacy on purchase intention. The research employs a quantitative method with data collection conducted through questionnaires distributed to 100 respondents who work as farmers and have made online purchases of agricultural chemicals. The research data is analyzed using SmartPLS. The results indicate that Perceived Ease of Use and Digital Literacy have a positive influence on purchase intention, while Perceived Behavioral Control, Perceived Usefulness, and Subjective Norms do not have an impact on purchase intention.

UNLOCKING CONSUMER BEHAVIOR IN AGE OF ARTIFICIAL INTELLIGENCE: A STUDY ON TAILORED DATA, PRIVACY RESERVATIONS, AND PURCHASE INTENTIONS

This study investigates the complicated relationship between consumers and artificial intelligence (AI), precisely exploring the impact of tailored data (AI) on purchasing decisions. Drawing from a diverse sample of social media users in top five HEC ranked universities, the study investigates how factors such as privacy reservations and positive past experiences intersect with AI-driven personalization, impact consumer attitudes and willingness to make purchases online. The researcher applied survey method to collect data from 346 participants, primarily social media users, with the focus on those regularly engaging with the social media advertising and AI-based applications. This research tested three hypotheses wherein findings show significant influence of tailored data on consumer purchasing willingness and positive past experiences with AI ads. The privacy concerns, however, were found to have an insignificant impact on the online buying decisions. In this linking, these insights contribute to broader discourse on AI's role in consumer behavior, offering practical implications for various businesses navigating integration of artificial intelligence technologies in marketing strategies.

Technological Acceptance of E-Commerce by Generation Z in Portugal

E-commerce allows consumers to make online purchases easier, faster and at any time, making it different from traditional commerce. This technology has grown recently and has become popular among younger generations. This is the case of Generation Z, a technological generation that will become the leading group of consumers in the coming years. Despite the positive results regarding this practice, the expected results for the Western world, a world of which Portugal is a part, have yet to be achieved. The main objective of this investigation was to understand the acceptance of e-commerce by Generation Z in Portugal. The nature of this study is quantitative and used the questionnaire for data collection based on the proposed conceptual model built through the literature review. The dimensions obtained were analysed using the SmartPLS 4 and IBM SPSS Statistics 26 tools. The results allowed responding to the proposed objectives to support or reject the defined hypotheses associated with the variables trust, perceived risk, perceived ease of use, attitude, perceived usefulness, intention to use, privacy and security. It was also possible to define the digital consumer profile of Generation Z in Portugal.

The Role of Secure Online Payments in Enabling the Development of E-Tailing

ABSTRACT Online security is a concern for customers who wish to purchase products and services online in a safe environment. A particular aspect of the online shopping process that is prone to security issues is the payment mechanism. This study focuses on the impacts of secure online payments and their interplay with other determinants on the development of e-tailing in Lebanon. To achieve this research goal, an online survey has been designed and distributed to gather feedback from 306 participants who make online purchases on regular basis. FsQCA methodology was implemented to obtain causal configurations of security-related variables that establish various ways in which they contribute to the increase in customers’ online purchases. According to the research findings, gender of the customer, secure e-commerce website, secure payment information, and secure online payment conditions significantly influence customers’ online purchasing intentions, leading to higher online purchases. The results have important novel contributions to academia and practitioners in the e-tailing domain.

The Implementation of Khyar in Online Purchase and in Increasing Costumers Satisfaction

This research aims at encouraging students to implement khyar in online transactions and creating its’ application model in order to obtain costumers satisfaction. The research was initiated due to the development of common online purchase and transactions whose applications are different from that of khyar. This can also potentially cause the business to lose its’ element of spiritual blessings and be susceptible to fraud and loss on the side of the costumers. The crucial issue found in the research is that what students learn at schools or campus in theories are not in line with what the application of kyar in real life. The nature of the research is descriptive and qualitative and its’ object is the implementation of khyar in online purchase and its’ data source is taken from students of the Faculty of Islamic Business and Economy who make online purchase and transactions. The instruments of research are observations, interviews and field records and data tabulation techniques used are editing, descriptions and interpretations. The result of the research shows that the conceptual implementation of the khyar is agreed upon by all of the students except for five of them. There are vendors who sold their products over someone else’s bargain and there are those who denied products return while according to Islam that practice should be allowed under the ruling of khyar.

Aktivitas pemasaran melalui media sosial instagram dan ekuitas merek serta pengaruhnya terhadap niat beli konsumen

The purpose of this research is to determine the influence of Social Media Marketing Activities on brand equity; to determine the influence of brand equity on E-WOM; to determine the influence of E-WOM on consumer purchasing intentions and to determine the influence of Social Media Marketing Activities on consumer purchasing intentions. Research data collection was carried out using a cross sectional approach carried out over a 1 month period using questionnaires distributed via social media. Researchers distributed questionnaires to consumers who made online purchases to students in Yogyakarta. The analysis tool uses SEM AMOS. The research results show that there is a significant relationship between social media marketing activities and brand equity; there is a significant relationship between brand equity and e-wom; There is no influence of the e-WOM variable on purchase intention and there is a significant relationship between social media marketing activities and purchase intention.

DETECTION OF UNHEALTHY WEBSITES USING MACHINE LEARNING

In recent years, advancements in Internet and cloud technologies have led to a signicant increase in electronic trading in which consumers make online purchases and transactions. Accompanying this achievement are vices like unauthorized access to users' sensitive information and damages to enterprise resources. Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. This study aims to develop an efcient machine-learning program to detect phishing websites with high accuracy. Most phishing webpages look identical to the actual web pages and various strategies for detecting phishing websites, such as blacklisting, and heuristics, among others have been suggested. Existing research works showed that the performance of the phishing detection system is limited and there is a demand for intelligent techniques to protect users from cyber-attacks. A Uniform resource locator (URL) detection technique based on a supervised machine learning approach – Naïve Bayes is employed and implemented in Python programming language. The efcacy of this approach was determined on a phishing dataset made up of 7900 malicious and 5800 legitimate sites, respectively. The results show that using the proposed methodology an accuracy of 96% can be achieved by using stacking, ltering along the Naïve Bayes and logistic regression. This study thoroughly investigates the use of machine laearning with features extracted from the URLs and was able to showcase common words for the identication of either phishing (unhealthy) or good websites and proffered a guide to end users against the recent approaches in malicious URLs detection.

E-Commerce Product Price Tracker

Online buying is steadily taking the place of traditional means of shopping in every aspect. It has become more well-known and established as the new normal as a result of the pandemic. Everything, even food and shoes, is now available on E-cart. Because there are so many options accessible in every sector, consumers prefer to make purchases online. Since most customers can distinguish price differences between websites, they will typically choose the supplier that is giving the best value. To keep ahead of the competition, corporate minds are therefore constantly devising novel ways to optimize the profit from each transaction. They provide enticing discounts in an effort to attract more clients. In the e-commerce industry, dynamic pricing is currently the most used tactic. The purchaser might learn. Keeping track of the price changes, which occur around every 10 minutes, is challenging. They provide the impression that the things are on sale by doing this. This paper presents a basic price tracker application that tracks the price of a product and notifies the user when the price hits a predetermined threshold. It will respond to the user's queries and retrieve pricing information from the browser.