• Asia pacific journal of information systems
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• v.30 no.3
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• pp.532-546
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• 2020

The current study examined the Indian young consumer online shopping self-efficacy in an integrated model. Authors tested the study model (antecedents and consequences of online shopping involvement) with the help of 225 sample data by using first order structural equation modeling. Online shopping enjoyment was found most important predictor of online shopping involvement followed by online accessibility. Further, the impact of online shopping involvement on online shopping self-efficacy was quite high in comparison to online technical self-efficacy. We strongly recommend that the marketers must use internet strategically in establishing dialogue between seller and online shoppers.

• The Journal of Society for e-Business Studies
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• v.3 no.2
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• pp.57-71
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• 1998

In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

• Journal of Fashion Business
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• v.12 no.6
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• pp.124-137
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• 2008

The present study was implemented to understand high school girls' buying patterns of fashion products at online and offline shopping malls; and to obtain the information needed for the development of online and offline mall marketing strategies that are differentiated from each other. The study was conducted through a descriptive survey method using questionnaires. The sample consisted of 242 girls from four high schools located in Seoul. Descriptive statistics, cross-tabulation and a paired t-test were used for the analysis of the data. Results are as follows: First, most of the high school girls (82.2%) had experience of purchasing fashion products at online shopping malls. And, those who have purchasing experience at online shopping malls, compared to those who do not have such purchasing experience, showed a higher purchasing intension at online shopping malls. Second, both the degree of pre-purchase searching and ongoing searching was higher in online shopping than in offline shopping. Third, the quality of material, place produced, brand name, and store atmosphere/type were considered more in offline shopping than in online shopping. Shopping convenience and information service about the products were considered more in online shopping than in offline shopping. Fourth, the purchasing frequency of underwear and hair accessaries was higher at offline stores than online shopping malls, but the purchasing frequency of bags was higher in online stores than offline stores. When the differences between the purchasing patterns at online shopping malls and offline stores are considered carefully, marketing activities would be more effective.

• Journal of Distribution Research
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• v.8 no.2
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• pp.1-18
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• 2003

This study has tried an integrated approach toward consumer response difference between the online internet shopping mall and the off-line department store focusing on the moderating role of shopping value according to shopping situation. This study has analyzed consumer behavior differences between online and off-line channel formats in one framework and identified differences in consumer behaviors between the two channel formats. Managerial implications of this paper include measuring the effects of the integration of online and off-line channel and developing multichannel strategy. This paper suggests marketers to develop channel strategies based on customer segmentation criteria reflecting different consumer shopping value between online and off-line channel formats rather than developing strategies based only on the conventional marketing mix.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.61-70
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• 2020

As mobile device usage time increases thanks to the development of information and communication alongside the increase in the spread of smartphones, mobile shopping has become a common trend. While mobile shopping has the advantage of saving both time and money, it may also result in dissatisfaction with product differences after purchase. For online clothing shopping malls, in particular, if the size does not match after purchase, it is difficult for customers to return or exchange the goods. To address this problem, some mobile apparel shipping malls offer a virtual fitting service and a size comparison function; however, the number of such malls remains low. In this paper, a usability evaluation was performed on a mobile apparel shopping mall that provides a size comparison function. The three apps selected for evaluation have different size input methods, and a slightly different method of providing results after comparing the user's dimensions with the dimensions of the clothes to be purchased. In this paper, the evaluators were asked to select clothes at the shopping mall and perform the task of deciding the size of the clothes to be purchased through their own measurements and comparison while also evaluating the effectiveness, meaning, and satisfaction of the apps. Based on the analysis of the results, this paper aims to produce an improvement plan and help design the size comparison UI (User Interface) in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.287-304
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• 2016

This study examines the influence of product classification standards and structure on user perception as well as their attitude towards online shopping sites. The causal relationships of variables are also examined. The analysis was based on an online survey with 247 responses. Four types of internet shopping sites were developed and used as a stimulus. The results of the mean comparison analysis indicated that perceived variety, information overload, perceived shopping value and attitude towards the site varies significantly with product classification standards and structure. There was also of a marginally significant interaction between the classification standard and structure on perceived variety and information overload. The causal relationship analysis revealed that perceived variety positively influenced hedonic and utilitarian shopping value. However, information overload had a negative effect on hedonic and utilitarian shopping value. Both the hedonic and utilitarian shopping value positively influenced attitudes towards the sites. This study demonstrates that classification method influences customer perception and attitude. It offers interesting insights on a product classification method as a strategic tool for online shopping.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.1
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• pp.84-91
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• 2005

Recently comparison-shopping agent systems are promising to support purchase of buyers in online-shopping environment. This paper proposes a comparison-shopping agent system considered easy access and buyer's preference. Easy access is achieved by minimizing questions to buyer. Buyer's preference is considered by using pairwise comparison of products attributes. Procedure of the proposed system is explained with a case of notebook. Finally a prototype has been implemented.

• Journal of Distribution Science
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• v.15 no.2
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• pp.15-20
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• 2017

Purpose - This paper aims to suggest a delivery constrained internet shopping optimization problem (DISOP) which must be solved for online recommendation system to provide a customized service considering cost and delivery conditions at the same time. Research design, data, and methodology - To solve a (DISOP), we propose a multi-objective formulation and a solution approach. By using a commercial optimization software (LINDO), a (DISOP) can be solved iteratively and a pareto optimal set can be calculated for real-sized problem. Results - We propose a new research problem which is different with internet shopping optimization problem since our problem considers not only the purchasing cost but also delivery conditions at the same time. Furthermore, we suggest a multi-objective mathematical formulation for our research problem and provide a solution approach to get a pareto optimal set by using numerical example. Conclusions - This paper proposes a multi-objective optimization problem to solve internet shopping optimization problem with delivery constraint and a solution approach to get a pareto optimal set. The results of research will contribute to develop a customized comparison and recommendation system to help more easy and smart online shopping service.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.12
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• pp.1297-1309
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• 2012

This study examined the effects of "me-model" body-size discrepancy on consumer's shopping mood, store satisfaction, and intention to revisit two types of online apparel stores (one featuring thin models and one featuring average-sized models). A convenience sample of women (n = 528) participated. Structural equation modeling was used to analyze the data. Participants who were thinner or similar to the models indicated positive shopping moods, a high level of online store satisfaction, and intended to revisit the stores when compared to participants who were larger than the models. Participants preferred the 'average-sized' model. This preference was attributed to the familiarity of the model and ability to effectively evaluate merchandise. The results revealed how models can influence apparel consumers in an online context.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.89-102
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• 2018

This study classified online shopping mall using value as utility and hedonic value based on previous studies. And we examine the effect of online shopping mall value on user attitude and customer loyalty. Meanwhile, variety seeking is a personal tendency that wants to new change over time. The purpose of this study is to investigate the difference of online shopping mall usage value(utility, hedonic), user attitude according to variety seeking. The following are main results of this study. First, utility value and hedonic value have a significant effects on user attitude. Second, user attitude of online shopping mall have a positive effect on customer loyalty. Third, The relationship that online shopping mall using value affect user attitude is differ depending on variety seeking. Based on these findings, in this study examined the significant influence of online shopping mall using value, user attitude, customer loyalty. this study suggested to marketing practitioners the need for different approach by a variety seeking.