E-shopping Behavior Research Articles

Concerned Gen-Y E-Shopping Behavior: A Focus on Trust, Safety, and Purchase Experience

Concerned Gen-Y E-Shopping Behavior: A Focus on Trust, Safety, and Purchase Experience

E-Shopping Behavior: An Empirical Study of Malaysian Consumers

Malaysia's e-commerce industry has grown tremendously, and many activities have been made online. One of the most common activities is online shopping or e-shopping. Online shopping behavior is the actions and decisions of customers when making purchases and completing transactions through Internet-based platforms. Consumer preference for online shopping is because it offers ease of buying or convenience, time-saving, price sensitive, anywhere-anytime, cost-effective, and other categories availability. Thus, this study investigated a few factors that affect Malaysian consumers' online purchase behavior: information availability, social influence, and trust. The researcher used an online survey and a self-administered questionnaire to gather data on the phenomenon. Data were collected from 297 Malaysian respondents using convenience sampling and analyzed using IBM Statistical Package for the Social Sciences (SPSS) 26.0 version software. The results revealed that all independent variables (information availability, social influence, trust) had a significant positive relationship with the dependent variable (online shopping behavior). This study also proved that information availability was the most influential factor compared to other variables. It is hoped that this study will benefit Malaysian marketers as it focuses on the Malaysian context. This finding will also help e-retailers enhance their online sales by creating a strategy that could attract more customers as a concern for building profitable relationships.

Analysis of Changes in In-Store and Online Shopping Frequencies Due to the COVID-19 Pandemic: A Case Study from Bahrain

Online shopping (e-shopping) has been growing steadily in recent years; however, the COVID-19 pandemic resulted in a sudden increase in this growth. This study compares the in-store shopping and e-shopping frequencies within three distinct periods, i.e., before, during, and after the COVID-19 pandemic. It further investigates the frequencies and determinants of e-shopping across the three periods. The data on the in-store shopping and e-shopping frequencies for four different product categories, i.e., grocery, household essentials, electronics, and clothes, were collected through an online questionnaire in Bahrain, resulting in a total of 401 valid responses. Wilcoxon signed-rank tests were conducted to compare the frequencies of in-store shopping and e-shopping within the three periods as well as the frequencies of e-shopping across the three periods. The effects of the determinants of e-shopping were evaluated using chi-square tests. The results revealed that e-shopping experienced a temporary surge during the COVID-19 pandemic, returning to pre-pandemic levels afterward. The frequency of e-shopping varied across product categories and periods, and e-shopping during the pandemic was higher than before. However, no significant difference was found between the periods during and after the pandemic. This study provides insights for urban and transport planners regarding the frequencies and determinants of e-shopping behavior in the context of pandemics.

Role of Experiential Trust in E-Shopping Behaviour: An Emerging Market Perspective

Addressing the limited research on online shopping trust in the emerging e-market context, this study examined how online experience affects experiential trust, attitude, perceived risk, perceived usefulness, and purchase intention. Further, experiential trust was tested as a mediator between online experience and attitude, perceived risk, and perceived usefulness. A structured questionnaire was administered to collect data from 583 respondents. The proposed hypotheses were tested through structural equation modeling using AMOS 23 and hierarchical regression analysis. The result indicates that online experience is significant in forming experiential trust. The findings also show that experiential trust plays an important role in influencing e-shoppers’ purchasing behavior. Furthermore, it has been found that online experience and experiential trust function as distinct predictors of perceived risk in online shopping behavior. This study provides new insights into online shopping behavior in emerging e-market scenarios. Practically, the findings suggest the strategic importance of generating experiential trust in the e-retailing context and indicate the utility of past online experiences.

Analysis of The Influence of Hedonic Digital Lifestyle on Consumptive E-Shopping Behavior of Generation Z Through E-Commerce Applications

This research aims to analyze the influence of a hedonic lifestyle on consumptive behavior in purchasing clothes via e-commerce among students. The author uses a quantitative research approach as a procedural step in this research. The author uses the Estok Navitte Cowan formula to determine the sample used. For the sampling process, the author used a non-probability sampling technique. The next technique used was quota sampling, with a total of 30 students. The author uses surveys as a way to collect data and chooses questionnaires as a tool to collect the necessary data from research subjects. The Likert scale was used in this research. Researchers use Google Forms as a tool for collecting data for research. The author uses the data analysis method of recall and data categorization. Based on the research results, it shows that the hedonic lifestyle adopted by respondents is partially in the high category. Both aspects of activities, interests, and opinions related to the research object can help construct a hedonistic lifestyle. In this research, aspects were found that could construct a dominant hedonic lifestyle, such as shopping, being interested in fashion, and thinking about products. Consumer behavior in purchasing clothes in e-commerce carried out by respondents is in the high category. The types of consumer behavior in the high category are impulsive purchases and irrational purchases. These two types of consumer behavior can occur because respondents look for symbols of satisfaction and pleasure attached to clothing in e-commerce. However, the level of waste in purchasing clothes through e-commerce is low.

The Role of E- Wallet Applications on -E-Shopping Behavior of Millenial Mothers in Select Cities of Indonesia

The research objective is to focus on how people use the E-wallet application using the internet on smartphones, especially millennial mothers. In the digital era with the extraordinary development of technology and information today affects all sectors of the economy, one of which can be seen from financial transaction systems such as cash transactions to non-cash transactions or electronic money. E-Shopping behavior refers to the level of personal financial competence in daily management ranging from planning, budgeting, checking, managing, storing, researching and controlling. This study specifically aims to determine the role of the E-wallet applications on the E-Shopping behavior of millennial mothers who use the E-wallet applications. Qualitative research methods are carried out with a phenomenological approach. The results showed that the e-wallet applications was recognized by millennial mothers to facilitate financial transactions but there were changes in E-Shopping behavior that were consumptive in nature that occurred when using e-wallets, these changes were seen from lifestyle, waste, shifting consumption logic, and social status classification in the E-Shopping behavior of millennial mothers.

Ride-hailing app use for same-day delivery services of foods and groceries during the implementation of social activity restrictions in Indonesia

This study investigates e-shopping behavior change through ride-hailing applications (RHAs) for grocery and food as an alternative way to minimize out-of-home activities during the pandemic. Exploratory factor analysis and structural equation modeling were applied, which utilized data collected from a web-based questionnaire survey during the implementation of social activity restrictions in August 2021. The modeling results show a complementary effect between food and grocery delivery services, where an increase in food delivery is followed by an increase in grocery delivery, but not vice versa. Meanwhile, grocery delivery could substitute in-store grocery shopping. The frequency of food delivery before the pandemic also significantly affects food and grocery deliveries during the pandemic. The more individuals avail food delivery services before the pandemic, the more they avail grocery delivery services during the pandemic. In contrast, the less likely people are to avail food delivery services before the pandemic, the more likely they are to avail food delivery services during the pandemic. The study also found that RHA use for food delivery is influenced by the latent variable of e-shopping enjoyment, whereas the latent variable of e-shopping benefits affects RHA use for grocery delivery. Regarding the socio-demographic effect, females and well-educated people tend to increase RHA use for grocery delivery, and millennials are more likely to participate in grocery shopping and dining out. The findings provide valuable insights into the suppression of virus spread in the short term and travel demand management in the medium term.

The Rise of Online Shopping after the Epidemic in the Perspective of Integrated Marketing Communication

Integrated Marketing Communications (IMC) has been associated with improved sales. Marketers have long relied upon IMC strategies to boost brand awareness, product appeal, and brand discrimination. The COVID-19 pandemic incited e-shopping behavior resulting from limited mobility. To arrest the spread, governments increased travel restrictions. Citizens also reduced movement to curb infections. Until then, shopping was a mobility-driven venture, and consumers readily took to online shopping, which hit $5 trillion in global value. The upward trajectory was maintained even after the restrictions were lifted, raising the question of whether IMC programs influenced post-pandemic e-shopping. This research sought to test IMC stimulation of post-COVID e-shopping. Specifically, the researcher tested IMCs role in maintaining consumer interest and persuading impulse purchase -factors that eventually fostered post-pandemic online shopping. Using qualitative descriptive research, the researcher executed surveys and a case study that revealed IMC as a leading driver of post-pandemic online shopping. It is essential to research the importance of IMC as it is associated with the rise of internet shopping after the epidemic.

Modeling the Enablers of Consumers’ E-Shopping Behavior: A Multi-Analytic Approach

The evolution of e-commerce amid the positive growth forecast of the e-commerce market has sparked scholarly interest in e-shopping antecedents to better understand customer behavior and ensure sustainable e-shopping services. The purpose of this study is to investigate the relationship between the enablers of customers’ e-shopping intention and e-shopping behavior in the post-pandemic period. Personal innovativeness, service quality, perceived risk, and trust were incorporated into the Unified Theory of Technology Acceptance and Usage (UTAUT) original framework and UTAUT 2 in this study. To explore the relationship among the study variables, data were collected from 420 shoppers via an online survey using a convenience sampling technique. The obtained data were analyzed using a multi-analytic approach, such as structural equation modeling and artificial neural networks (SEM-ANN). The empirical findings showed that trust, habit, and e-shopping intention significantly influence consumers’ e-shopping behavior. Furthermore, the results indicated that personal innovativeness, facilitating conditions, performance expectancy, habit, effort expectancy, perceived risk, price value, hedonic motivation, service quality, and trust were all significantly linked to e-shopping intention. The study revealed that effort expectancy acts as a mediator between service quality and e-shopping behavior. This research provides valuable insights into e-shopping behavior in developing countries during the post-pandemic era. By providing a more comprehensive and accurate understanding of the factors that influence e-shopping behavior, hybrid SEM-ANN analysis can help managers and policymakers arrive at better-informed decisions to promote and encourage e-shopping.

Assessing the Effects of Delivery Attributes on E-Shopping Consumer Behaviour

E-consumer behaviour plays a vital role in e-commerce worldwide. This paper addresses the importance of delivery time, delivery fee, and delivery reception, and the influence of delivery fee and reception on e-consumers’ behaviour by analysing the following hypotheses: delivery attributes affect e-shopping behaviour, and delivery attributes affect e-consumers’ behaviour according to their sociodemographic characteristics. Data were obtained from a web-based survey with Brazilian e-consumers, and logistic regression and artificial neural network models were estimated to assess consumer behaviour. We found that delivery fee willingness to pay and privacy are affected by delivery times according to gender. Delivery fees affect the e-consumer according to gender, the habit of purchasing books and leisure products, privacy, promotions, and pricing, and influence the e-shopping decision by age, purchase of electronic products, and promotions. Delivery reception is relevant according to age, income, gender, frequency of e-shopping, privacy, and pricing. Furthermore, delivery fees influence the e-shopping decision by age, purchase of electronic products, and promotions. Finally, delivery fee, willingness-to-pay, and privacy are characteristics influenced by reception on the e-shopping decision. Further analyses would include the dynamic aspects of e-consumer behaviour and the impacts of COVID-19 in the e-consumption patterns and its effects on e-commerce deliveries.

Factors Affecting E-Shopping Behaviour: Application of Theory of Planned Behaviour.

E-shopping is a rapidly growing phenomenon among different individuals who intend to shop online. However, a trust deficit in the E-shopping environment has always been a critical issue in the brick-and-click mode of shopping, being one of the main reasons for E-cart abandonment in E-commerce. This empirical study is aimed at investigating the perceived effect of website trust on E-shopping intentions and behaviour, drawing upon the theory of planned behaviour (TPB). Data were collected through self-administered questionnaires from working adults who shop for garments online. Structural equation modelling was used to evaluate the model fit and assumptions. Our findings suggest that website trust and E-shopping attitude play substantial roles in building E-shopping intentions and actual behaviours. Both are the significant predictors of the behaviour mediated by E-shopping intentions. However, E-shopping intentions did not mediate between subjective norms and E-shopping behaviour, when working adults decide to purchase garments online.

The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS

Advances in information and communication technologies (ICT) have dramatically changed the nature of shopping and the way people travel. As this technology becomes deeply rooted in people’s lives, understanding the interplay between this way and personal travel is becoming increasingly important for planners. Using travel diary data from the 2017 National Household Travel Survey (NHTS) data for structural equation modeling (SEM) analysis, it revealed the interaction between e-shopping and shopping trips and the factors that affect this bidirectional relationship. Results show that e-shopping motivates shopping trips, and in-store shopping inhibits online shopping. It can be obtained that the increase of one standard deviation of e-shopping will increase the shopping trip by 0.17 standard deviation. When shopping trips increase by one standard deviation, e-shopping behavior also decreases by 0.12 standard deviation. The results also demonstrated that e-shopping and shopping travel behavior is heterogeneous across a variety of exogenous factors such as personal attributes, household characteristics, geography, travel distance/duration, and travel mode. Identifying the interaction may help formulate better transportation policies and lay the foundation for travel demand management strategies to reduce the stress on the transportation system and meet individual travel needs.

Factors Influencing Consumers’ Attitude & Perception towards E-shopping in NCR

The daily advancing usage of Internet in India helps facilitate growing prospects for shopping online. Online shopping is an advancing sphere of technology. The explosion of online shopping has provided ground for comprehensive research targeted at luring and engaging customers from both the technology-oriented and consumer’s view. Behaviour of consumer is regarded as an applied discipline since mostly decisions are considerably effected by human behaviour or anticipated actions. Most companies today employ the Internet as a means to cut marketing costs, consequently lowering the cost of their services or products with a view of remaining in the lead in a greatly competitive market. Additionally companies deploy the Internet to transfer, communicate and circulate information, to market a product, to obtain feedback as well as to make satisfaction surveys with the consumers. The consumer employs the Internet to purchase a product online, as well as to compare rates, features of a product and after sale service facilities provided after buying the product from a specific website. The current work aims at exploring possible dependent and independent variables that affect customer’s attitude towards E-shopping behavior in NCR. The work is based on a pragmatic research study.

Factors Affecting E-shopping Behaviour of College Students in Gujarat

Promotion of digital India and due to uphold benefits of e-shopping; online market is observing constant growth in India. End of 2019 has faced global disease of COVIND 19 which has highly affected world economy. The lockdown period observed closing of traditional i.e. local market as the only solution to avoid spreading of COVIND 19 was to follow social distancing. Although online business exists the then period taught every firm big or small to do business through e-market. Thus online shopping rate increased during lockdown period as per reports given by periodicals and news channel. Therefore this study will give input for factors that affect E-shopping behavior especially for college students in Gujarat. The study was based on opinion of respondents collected through structured questionnaire which were filled by students of Gujarat University and Hemchandracharya North Gujarat University. Both descriptive analysis and inferential analysis were considered for the study. The findings of the study identified personal examination of products, worried of fraud while giving debit card/credit card information and also have fear of misuse for personal information shared on e-shopping sites as major barriers for e-shopping. Motivating factors identified were that e-shopping saves time, is convenient and it provides very attractive festival offers. The study concluded that motivating factors for online shopping have significant effect on e-shopping behavior. Satisfaction for eshopping also moderately affects e-shopping decision.

Investigating consumer behavior in online shopping among university students in two countries

Purpose - The purpose of this study is to show how different countries, different cultures and technological infrastructures affect the behaviors of people via internet. In this study, the online shopping approach, which is part of e-commerce, has been studied among students from both countries. The technology aacceptance model was used to study the effective factors on student e-shopping behavior and this research is taken from the thesis defended in 2019. Methodology – The data of thesis were collected from students at Ataturk University in Turkey and Tabriz University in Iran. Processing of collected data as well as proof of hypotheses have been made using the technology acceptance model. Findings- Students' intention to accept online shopping technology has a significant impact on their actual behavior, which is 71.7% among students at the University of Ataturk and 67.6% among students of Tabriz University. Conclusion- According to the results, it is seen that there is a significant proportion of both university students' intention and attitude about e-shopping. In addition, it has been observed that the technological infrastructure and usage periods have a positive effect on e-shopping.

Factors Affecting Internet Purchasing Behaviour in Jorhat District of Assam

Electronic commerce which generally refers to the sale and purchase of various products and services over the internet is continuously getting more and more competitiveness with constantly evolving technology. Online shopping which has become a new type of retail shopping has been widely adopted by the people all over the world and it is a rapidly growing area of e-commerce. The present paper analyze the various aspects of online shopping on consumer’s buying behaviour and the factors that determine the online shopping behaviour of the people in the Jorhat district of Assam state of India. Jorhat district is selected because it is one of the fastest growing cities of Assam. The data related to e-shopping behaviour of the people were collected in the month of November 2019 by taking a sample of 150 people through a well-structured pre-tested questionnaire. A Binomial logistic regression analysis has done to find out the factors that determine the online shopping behaviour of the surveyed respondents. The estimated results reveals that the probability of using online shopping services has a positive and signification relationship with household income, trust on website and risk aversion attitude of the respondents.

An Empirical Analysis of Online Shopping Behavior in India: A Demographic Perspective

The e-commerce market of the world is growing at a very fast rate. High internet access rate, increased smart-phone users’ rate, growing mobile internet users’ rate, reduced smart-phone cost and added internet speed has enabled online shopping too much user-friendly and easier in recent years. The purpose of this paper is to investigate the role of demographic variables of the customers in affecting online shopping behavior. With the help of an extensive literature review, hypotheses were formulated for seven demographic variables i.e. age, gender, marital status, location, level of education, income per month and occupation. With the help of a survey method 542 responses were collected from three different locations New Delhi, Gorakhpur and Mumbai. A chi-square test was performed for checking the association between demographic variables and attitude of online shoppers towards online shopping. A significant positive association was observed between level of education and level of income with the online shopping behavior of the consumers. Based on the empirical findings, this paper includes managerial suggestions for stimulating online shopping behavior among consumers. Keywords: online shopping, online shopping behavior, demographics, E-shopping behavior

Accessibility or Innovation? Store Shopping Trips versus Online Shopping

The increasing penetration of online shopping will have major effects on physical stores. And the question is: In which areas will consumers replace most physical shopping with online shopping? Two apparently competing hypotheses were tested: the diffusion of innovation hypothesis, suggesting openness to new technologies; and the efficiency hypothesis, suggesting accessibility gains. Whether the innovation hypothesis has lost its importance in favor of the efficiency hypothesis was also questioned. The study area was a polycentric urban area in the Netherlands. We distinguished between books, clothes, and groceries. It was assumed that shoppers’ decisions to buy a particular good online or not, and the share of online shopping relative to in-store shopping for this good, were basically driven either by shoppers’ willingness to adopt the new technology of e-shopping or by shoppers’ accessibility to shops. Support was found for both hypotheses, although the impact of shopping seemed limited and varied between different types of goods. In the end, e-shopping behavior remains primarily shaped by households who are open to new technologies, and to a limited extent by efficiency considerations.

Does family life cycle stage influence e-shopping acceptance by Indian women? An examination using the technology acceptance model

ABSTRACTThis study contributes to the literature that advocates the use of consumer segmentation by family life cycle (FLC) stages, which are found to have a greater influence on changes occurring in an individual’s life than age. It addresses the youth bias of most research on e-shopping adoption and the emergence of older e-shoppers as an attractive market segment by covering women of all age groups. It evaluated the effect of perceptions and attitudes towards e-shopping acceptance, as well as their variations across FLC stages, by using the technology acceptance model. The 10 FLC stages were selected by modifying the Duvall FLC classification system to reflect the Indian context. The results show that the different FLC stages have a significant impact on the e-shopping behaviour of women. While deals and discounts were found to influence all groups, time-saving and better decision-making through online shopping sites also significantly influenced e-shopping behaviour. Furthermore, the perceived usefulness and/or attitude were important factors that directly affected e-shopping technology adoption and usage patterns across a majority of the FLC stages. The study proved that FLC stages had greater power than age in explaining e-shopping adoption and e-retailers should not ignore them in designing e-marketing applications.

The impacts of final delivery solutions on e-shopping usage behaviour

PurposeThe purpose of this paper is to examine the effects of final delivery solutions on e-shopping usage behaviour by modelling their interaction across residents living in different neighourhoods with availabilities of different facilities, including automated parcel stations (APSs), collection and delivery points (CDPs), and the direct-to-home delivery stations of parcel express firms (PEFs).Design/methodology/approachThe study is based on a survey on e-shopping behaviour and delivery awareness. A mixed structural equation model is used to predict the interactions among availability of final delivery facilities (AFDF), level of satisfaction with delivery services and e-shopping usage after controlling individual socioeconomic attributes and retail environment.FindingsCompared with AFDF, individual socioeconomic attributes are the most influential factors contributing to e-shopping spending and frequency. Improving AFDF has only a slight effect on e-shopping spending, while a larger impact on e-shopping frequency and perceived satisfaction to delivery services is observed. The quantity of PEF delivery stations has a relatively large influence on e-shopping usage but the effects of APSs and CDPs are not as strong as expected.Research limitations/implicationsThe causality between final delivery solutions and e-shopping behaviour can be further tested by using social experiments or longitudinal data.Practical implicationsAll findings will help business and public policy decision makers to derive a balanced and effective deployment of final delivery solutions, which is also referential for other emerging markets similar to China.Originality/valueThis study theoretically contributes to the international literature by examining the heterogeneous effects of final delivery solutions on different aspects of e-shopping engagement.