• 산업경영시스템학회지
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• 제41권3호
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• pp.170-175
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• 2018

While the term online shopping refers to all online transactions, cross-border online shopping means shopping activities purchasing products or services over the internet for the customers abroad. As Internet use for the international shopping activity increasing, cross border online shopping has grown substantially for last decade. This study is about the problem regarding the cross border online shopping for two different countries and the variables that influence their shopping behavior. The cross border online shopping has been increased by the growth of Internet access. However, the growth of the Internet use does not guarantee a successful development of cross border e-commerce for every country. To find out the perception for cross-border online shopping for two different cultures, shoppers from two countries with different cultural background were chosen, and the perception for cross-border online shopping from each culture is contrasted. For statistical Analysis, ANOVA is used to find the relationship between a single non-metric independent variable, and multiple metric dependent variables. Hofstede's cultural dimensions model is adopted for this study as a tool to find out the patterns of cross border online shopping. This study showed what the variables would affect the perception in cross border online shopping. The results of this study indicated that cross border online shoppers with different culture were notably different on two variables identified-timeliness and ease of use.

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.249-260
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• 2019

The study examines the impact of financial risk, convenience risk, non-delivery risk; return policy risk and product risk on online consumer behavior of Malaysian consumers. The research employed a self-administered survey to collect empirical data from 245 Malaysian online shoppers by using convenience sampling. Cronbach alpha was calculated to confirm the reliability of the data and then normality was assessed. Confirmatory Factor Analysis was then conducted to test the model using the goodness-of-fit tests. And finally, structural equation modeling is used to test the hypotheses and draw conclusions. IBM SPSS AMOS version 22.0 was utilized for data analysis. The research indicates that product risk, convenience risk, and return policy risk have a significant and positive impact on online shopping behavior. Financial risk is found to have insignificant and negative effects on consumer behavior. In addition, the non-delivery risk is found to have a significant and negative impact on online shopping behavior. The findings provide a useful model for measuring and managing perceived risk in online shopping which may result in an increase in participation of Malaysian consumers and reduce their cognitive deficiencies in the e-commerce environment. Several managerial implications are discussed along with the scope for future research.

• Asian Journal of Business Environment
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• 제4권3호
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• pp.5-12
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• 2014

Purpose - This study is aimed at examining Indian consumers' online shopping motivations, information search, and shopping intentions. The study intends to reveal the relationship between online shopping motivations, information search, and shopping intentions. Research design, data, and methodology - The study employs factor analysis to verify correct loading of items on corresponding factors, and to confirm the applicability of constructs in the Indian context. The model was verified using stepwise regression analysis. Results -The findings show that hedonic and utilitarian motivations significantly affect online information search and shopping intentions. The information search is a significant predictor of online purchase intention. Conclusions - Hedonic and utilitarian motivations are the salient factors affecting online information search and purchase intentions. Marketers are required to design websites that foster an enjoyable online experience. This will attract customers who will browse the website for a longer duration. More time devoted to information search will ensure brand building and loyalty.

• 디지털산업정보학회논문지
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• 제14권2호
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• pp.107-115
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• 2018

US Retailers consider two major holiday shopping days as their most profitable-the Friday after Thanksgiving, Black Friday, and the Monday after Thanksgiving, CyberMonday. Online shopping discount events have boosted up the shopping markets resulting in pumping up National economy. For such reasons, Korea also has launched online shopping discount event, which is called 'Cyber hot days'. The primary purpose of this paper is to understand consumer behavior on Cyber hot days and suggest how retailers can harness those consumer behaviors and how government agency can support both retailers and consumers to boost up shopping markets. The results of empirical test shows that economic value, emotional value, and product variety were found to be significantly related to consumers' attitude on Cyber hot days, but convenience value, social value, and product uniqueness were not. Consumers' attitude was also found to be significantly related to the repurchase intention. It implicates that price, enjoyment, and product variety are important aspects to Korean consumers when they purchase during online shopping discount event.

• 한국의류산업학회지
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• 제18권3호
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• pp.317-326
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• 2016

The main purposes of this study were to segment Chinese consumers who purchase fashion products through internet commerce according to internet shopping values, to compare their online word-of-mouth acceptance and dissemination behavior, and to examine the demographic characteristics and purchase behavior of the segments. 715 questionnaires were collected through internet survey from January $19^{th}$ to March $16^{th}$, 2015 and a total of 488 were used for the final data analysis. The respondents were twenty to thirty nine years old men and women living in all over China. Hedonic and utilitarian shopping values were identified through factor analysis and based on the shopping values, the respondents were categorized into four groups-ambivalent shopping value group, hedonic shopping value group, utilitarian shopping value group and indifferent group. Among these groups, there were significant differences in terms of online word-of-mouth acceptance as well as dissemination level and motivation. In overall, ambivalent shopping value group showed high online word-of-mouth acceptance as well as dissemination motivation. The groups also showed significant differences in clothing selection criteria, frequently purchased internet shopping sites, online clothing shopping frequency and information sources. The groups also differed in terms of age, residential area, education level, occupation and income. However, there were no significant differences in gender and marital status among the groups.

• Human Ecology Research
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• 제56권2호
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• pp.109-122
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• 2018

Cross-border online shopping is an example of non-mobile transnational consumption behavior that has become more popular over the last decade due to the development of technology and transportation. Based on the Theory of Reasoned Action(TRA), this study proposed and tested the hypothesized model that would explain the relationships among consumption beliefs, attitudes toward cross-border online shopping, subjective norms, and purchase intention. Consumption beliefs were measured by global consumption orientation, consumer orientation, and global brand beliefs. In addition, subjective norms included two types: online and offline norms. Descriptive statistics and path analysis were employed for the analysis of the dataset of 174 participants. As a result, the hypothesized model was generally supported. Consistent with the hypothesis, global consumption orientation and global brand beliefs were positively related to positive attitudes toward cross-border online shopping but negatively associated with consumer ethnocentrism. Offline subjective norms positively predicted both the attitudes and purchase intention whereas online subjective norms only predicted purchase intention. The results reflected that TRA was applicable to the intention of cross-border online shopping in a current on-line shopping context. We also discussed the practical applications and limitations of the study.

• 무역학회지
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• 제46권6호
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• pp.163-190
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• 2021

The paper studies the impulse buying behavior of Chinese consumers during the online shopping festivals of the specific situations and their influencing factors with empirical analysis. We carried out an empirical analysis on 302 Chinese consumers with shopping experience in the online shopping festival. The study result shows that (1) marketing stimulation, preferential promotion and features of consumers have a significant positive influence on the impulse buying behavior; while the freight reduction has no significant influence on impulse buying behavior; (2) the perceived value has a significant positive influence on the Chinese consumers to have impulse buying behavior; (3) perceived value works as an in the relationship between the marketing stimulation, preferential promotion and features of consumers and the impulse buying behavior, but it has no meditating role between the freight reduction and the impulse buying behavior.

• Management Science and Financial Engineering
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• 제20권2호
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• pp.27-31
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• 2014

This paper studies the assortment optimization problem in online retailing by using a multinomial logit model in order to take consumer choice behavior into account. We focus on two unique features of online purchase behavior: first, there exists increased amount of uncertainty (e.g., size and color of merchandize) in online shopping as customers cannot experience merchandize directly. This uncertainty is captured by the scale parameter of a Gumbel distribution; second, online shopping entails unique shopping-related disutility (e.g., waiting time for delivery and security concerns) compared to offline shopping. This disutility is controlled by the changes in the observed part of utility function in our model. The impact of changes in uncertainty and disutility on the expected profit does not exhibit obvious structure: the expected profit may increase or decrease depending on the assortment. However, by analyzing the structure of the optimal assortment based on convexity property of the profit function, we show that the cardinality of the optimal assortment decreases and the maximum expected profit increases as uncertainty or disutility decreases. Therefore, our study suggests that it is important for managers of online retailing to reduce uncertainty and disutility involved in online purchase process.

• 유통과학연구
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• 제20권2호
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• pp.1-9
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• 2022

Purpose: The online distribution channel has attracted the attention of retailers by potential impact on consumers' purchase intention. The objectives of this study are to provide an insight into how to encourage consumers' impulse buying behavior on commercial website as well as attempts to reveal factors that influence consumers' impulsive buying behavior in the online shopping environment. Research design, data and methodology: The research framework is based on the stimulus-organism-response (S-O-R) framework. The Meta-analysis method carried out the research, gathering data from 37 published studies. Results: The research findings suggest that intrinsic motivations such as perceived ease of use, perceived enjoyment, and online flow experience play a significant role in boosting consumers' hedonic value when buying and online. In addition, these findings help online retailers use appropriate marketing stimuli such as offering pricing incentives, promotion tactics, and improved communication effectiveness. Also, obtaining a better grasp of how to build a website to improve the consumer experience generally helps consumers feel the urge to buy impulsively and act without hesitation. Conclusions: This research confirms a direct positive relationship between marketing stimuli and hedonic shopping value, which may support an applied theoretical framework for future research and provide managerial implications for retailers in online distribution channels.

• 패션비즈니스
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• 제22권5호
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• pp.1-14
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• 2018

The purpose of this study was to define the purchase behavior of online luxury fashion brand consumers that soon became new luxury consumption trends. To investigate online luxury fashion brand consumer's purchase behavior, three variables were suggested based on advanced researches. These variables include economic value, item variety and pleasure. Purchasing luxury online was not common but as cross-border online shopping market became popular, consumers began to purchase luxury items through online shopping platforms. Preliminary surveys was conducted on 20~40-year-old consumers who have experience in online shopping for luxurious items. Total 238 questionnaires were used for analysis. By using SPSS, frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis, t-test and ANOVA were conducted. The results of the study were as follow; first, consumer's purchase behavior appeared to be influenced by the order of pleasure of shopping, economic value and item variety. Repurchase intention appeared to be affected by the order of economic value, item variety, and pleasure of shopping. Second, online luxury fashion consumers perceived that risk does not affect purchase intention and repurchase intention. Third, as purchase intention increases, repurchase intention also increases. Fourth, shopping value, age and channel risk also indicated meaningful differences. As an early study of luxury fashion brand products purchased directly online, the academic significance can facilitate an overall understanding of consumer behavior such as usage motive, risk perception, behavioral intention.