• The Research Journal of the Costume Culture
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• v.24 no.1
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• pp.41-53
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• 2016

The purposes of this study was to identify fashion shoppers' perceived risk and satisfaction while shopping at overseas online shopping malls based on their internet shopping values. A self-administered questionnaire was used for data collection and an internet survey was conducted from April 12~15, 2015. Most consumers purchased one or two fashion items at overseas online malls directly, motivated by low prices, and spent 200,000~400,000 won during the last one year. The factors of consumers' internet shopping values were information, hedonics, and practicality. Factors of perceived risk were delivery and refund, price and approval, and product and shopping mall. Consumers were divided into three categories: heavy pursuit shoppers, intermediate shoppers, and uninformed shoppers based on their internet shopping values. Heavy pursuit shoppers were primarily female; they spent more, felt a deeper patronage with overseas online shopping malls and their perceived risk regarding delivery and refund was higher than the other shoppers. The group of uninformed shoppers were primarily male. They spent less, had low patronage with overseas online shopping malls, and their perceived risk regarding delivery and refund was lower than other shoppers. Overall satisfaction was positively affected by information provided while shoppers were surfing the overseas online shopping malls and practicality. Satisfaction was negatively affected by perceived risk regarding price and approval and difficulty in finding specific products while shopping at overseas online shopping malls.

• The Research Journal of the Costume Culture
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• v.21 no.1
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• pp.129-138
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• 2013

Consumers' perception of risk plays a major role in how they make online purchase decisions. Since online shopping is perceived to be riskier than in-store shopping, consumers engage in a variety of risk reduction strategies such as searching online for alternative products and alternative e-tailers. This study examines the influence of risk involvement on risk reduction strategies and customer satisfaction. It discusses three aspects of risk reduction strategies: time spent in making a purchasing decision, searching for alternative e-tailers, and searching for alternative products. Data from 294 female shoppers who had experience in purchasing fashion products online was analyzed. This study found that risk involvement had a positive influence on the time spent in making decisions, while the influence of risk involvement on searching for alternative retailers and alternative products was not significant. However, consumer satisfaction was negatively related to search for alternative retailers and positively related to risk involvement. This study provides a better understanding of customers' risk involvement and risk reduction strategies in online shopping. This information would be beneficial for marketers and retailers to reduce customer perception of risks and to promote online sales.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.221-231
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• 2020

This research investigates the relationship among product risk, financial risk, security risk, privacy risk, perceived satisfaction, and purchase intention. Validated measurements were identified from a literature review. The measurement model and the conceptual model depicting hypothesized relationships were evaluated based on responses from 306 customers using confirmatory factor analysis and structural equation modeling. The results showed that product risk, financial risk, security risk, and privacy risk impacted on perceived satisfaction. Besides, product risk, privacy risk, and perceived satisfaction influenced purchase intentions. Thus, this study focused on the influences of product risk, financial risk, security risk, and privacy risk on their cognitive attitudes toward websites. That means the more consumer perceive security, the more they avoid shopping online. The study is important to show how perceived risk affects online shopping behaviors, and it invites marketers to make necessary adjustments to prevent perceived risks to increase and online shopping to decrease. The findings of this study suggest the creation of a framework on the effect of perceived risk types on online shopping. Managers need to take perceived risks into account when designing their electronic marketing channels. In addition, shopping websites should strengthen their transaction security by appropriately using various available resources and new information technologies.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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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.

• Journal of Distribution Science
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• v.19 no.9
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• pp.19-27
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• 2021

Purpose: Purchasing food via online shopping channels is booming during Covid-19 Pandemic in Vietnam. However, the perceived risks of food bought via online shopping channels may discourage consumers. Hence, this study assesses the effects of perceived risks on food purchase intention via online shopping channels in Vietnam. Research design, data and methodology: This study applied the multiple regression analysis with 253 samples collected from consumers who frequently purchase food via online shopping channels in Vietnam. The questionnaire is provided to respondents via Google Form. The sample collection method is convenience sampling. Three hundred samples were collected, but 253 samples are used after filtering the responses with missing data. The Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The results show that product risk, security risk, time risk, and fraud risk of the seller negatively affect the intention to buy food via online shopping channels in Vietnam. Conclusions: The study provides several implications and recommendations for food companies and online food sellers. Reducing customers' perceived risks online food makes customers more willing to buy food online during Covid-19 Pandemic. Limitations and suggestions for further research are also discussed.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.390-397
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• 2011

This study investigates the influences of shopping enjoyment and risk reduction on customers' attitude and the behavioral intention in the Internet shopping mall using a moving virtual model. For this study, we produced a moving virtual model to present a fashion product. The virtual model walks for about one minute on the stage. After respondents viewed it, they completed a questionnaire. The questionnaire consists of online shopping enjoyment, risk reduction, customers' attitude and behavioral intention. Respondents are limited to females aged in their 20s and 30s, who have experienced Internet shopping and are highly interested in fashion products. 411 samples were used for the final analysis. Cronbach's alpha, factor analysis, and multiple regression analysis were conducted. The results are as follows. Online shopping enjoyment and risk reduction influenced the behavioral intention directly as well as through the attitude. However, the size of the influence indicated that online shopping enjoyment is larger than risk reduction. Therefore, Internet malls should utilize the moving virtual model to provide customers with enjoyment and risk reduction, which will increase customers' favorable attitudes and the behavioral intention such as purchase intention and word of mouth.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.101-109
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• 2019

Based on the electricity sales and public consumption psychology during the online shopping festival, the purpose of this study is to investigate the factors that influence the reusing intention of the online shopping festival consumers. This research is focusing on The Theory of Reasoned Action(TRA) and The Technology Acceptance Model(TAM) to understand online shopping festival consumers' decision making process. The sampling is Chinese from 20s to 50s, who had participated in the online shopping festival.Findings suggests that first, the positive attitude of online shopping festival and subjective norms showed positive effects on online shopping festival consumers' reusing intention. Second, perceived usefulness, perceived ease and perceived enjoyment had statistically significant effects on online shopping festival consumers' reusing intention. Third, according to perceived risk perception of online shopping festivals, there were differences in factors affected the online shopping festival's reusing intention. In particular, the perceived ease of people who perceived risk higher, and the perceived usefulness of people who perceived risk lower had greatest impacts on reusing intention. Based on these findings, the implications and limitations of this study were discussed and suggestions for subsequent studies.

• Journal of Fashion Business
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• v.22 no.5
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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.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.743-753
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• 2019

This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.1
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• pp.27-38
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• 2013

Word-of-mouth (WOM) communication (traditionally important in consumption) is expanding its influence into cyber space and is playing an important role in online shopping. Consumers who use online shopping might not readily make purchasing decisions due to information overload, lack of accurate product recognition, and the distrust of commercial information. Subsequently, people use WOM communication for a mutual interchange with others who share common concerns, interests, and purposes. This study examines the consumer characteristics, perceived risk on online shopping and benefits of online shopping according to WOM behavior that may significantly affect consumer actions. Factor analysis, t-test, one-way ANOVA, cluster analysis, and Chi-square analysis were used for statistical analysis to identify the differences in consumer characteristics. Online WOM behavior consumers purchased more various items than offline WOM behavior consumers; however, the most influential purchasing factor was price regardless of WOM behavior. Offline WOM behavior consumers have shown higher perceived online shopping risks and benefits.