• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.99-112
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• 2002

The purpose of this study was to examine characteristics of online consumer groups by information seeking type and to identify the variables influencing consumers'purchase intention of internet fashion product shopping by consumer groups. A questionnaire was administered to 456 adults who had purchasing experience at fashion outline shopping mall. SPSS 9.0 package was used for data analysis. Factor analysis, ${\chi}^2$-test, t-test, frequency, percentage, one-way ANOVA and stepwise regression analysis were utilized. The online store attribute dimensions of fashion online shopping main were tangibility, variety, marketing promotion, responsiveness, reputation, price and convenience. The online store attributes had directly different influences in the purchase intention of Internet fashion product shopping by online consumer groups. Outline information seeking type who had higher variety and reputation perceptions had more positively affected on the purchase intention of internet fashion product shopping. Offline information seeking type who had higher tangibility and variety perceptions had significantly positive influence on the purchase intention of it. Combination(online+offline) information seeking type who had higher price and responsiveness perceptions had positive impact on purchase intention of it.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.3
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• pp.321-333
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• 2014

This study grouped on/offline browsing consumer types according to on/offline browsing consumer behavior and investigated the differences in shopping orientation, impulse buying, and fashion goods expenditure ratio in on/offline markets based on on/offline browsing types. Data were obtained from 379 consumers aged 10 to 40 in Daejeon Korea. The data were analyzed using factor analysis, cluster analysis and ANOVA. The result were as following. First, respondents were classified into four group by on/offline browsing behavior (high offline browsing group, low on/offline browsing group, high on/offline browsing group, and high online browsing group). Second, there were significant differences among groups in the shopping orientation (except for efficient shopping orientation). Third, groups showed differences in impulse buying and fashion goods expenditure ratio in on/offline markets. This information will benefit marketers in the use of multichannel consumer strategies.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.428-439
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• 2016

It becomes undeniable trends that offline shopping stores operate their own online shopping stores too. The multi-channel shopping stores like this allow consumers to have much choices to shop from either offline channel or online channel. This trend, however, also opens new research issues. Especially, we have found from literature survey that a new research model is necessary for more in-depth study of the consumer behavior analysis in the multi-channel trends like this, where those constructs such as offline trust, uncertainty, switching cost, and individual negative emotion are considered. It is noted, especially in the multi-channel environments, that uncertainty and switching cost need to be considered, and that individual tends to feel negative emotion much more. By relying on 406 valid questionnaires, we obtained empirical results such that switching cost and offline trust have a positive effect on continuance intention, and uncertainty tends to increase switching cost. Individual negative emotion also affects continuance intention significantly.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.382-387
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• 2007

Since the emergence of Internet service, the revenue from e-commerce has been exponentially growing. Especially, the consumption by men in online retailers is distinctively different from that in traditional bricks-and-mortar retailers. Facing these interesting phenomena, researchers as well as businesses have begun to pay attention to e-commerce and online consumers. However, research on consumer behaviors in the online channel has not made a careful investigation into gender behavioral differences in the online channel. Therefore, we provide a profound understanding of gender differences in online shopping behavior compared to those in offline shopping behaviors. Through our findings from this research, we draw researchers' attention to consumer behavior in the online channel, gender differences in online shopping. Also, we suggest practical implications to online marketers using data collected from one of the major online retailers.

• The Journal of Economics, Marketing and Management
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• v.11 no.1
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• pp.21-30
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• 2023

Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

• Journal of Distribution Research
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• v.14 no.1
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• pp.45-65
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• 2009

As a number of people using the internet for their shopping steadily rises, it is increasingly important for retailers to understand why consumers decide to buy products via online or offline. The main purpose of this study is to develop and test a model that enhance our understanding of how consumers respond future online and offline channels for their purchasing. Rather than merely adopting statistical models like most other studies in this field, the present study develops a model that combines double-cohort method with multinomial logit model. It is desirable if one can adopt an overall encompassing criterion in the study of consumer behaviors form diverse sales channels. This study uses the concept of cohort or aging to enable this comparison. It enables us to analyze how consumers respond to online and offline channels as people aged by measuring their shopping behavior for an online and offline retailers and their subsequent purchase intentions. Based on some empirical findings, this study concludes with policy implications and some necessary fields of future studies desirable.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.73-96
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• 2003

Shopping is a work and fun for a consumer. Retailers satisfy social and physiological needs through various experiences as well as economic and rational. Do offer online shopping malls fun and hedonic experiences that offline retailers do? This study applied the hedonic-experiential value relating to the consumption dimension of fun and excitement to online shopping. Especially, a model of online hedonic-experiential value, consisted of its antecedents and consequences, was developed and identified through a survey(n=436). As the result, graphic & multi-media, site structure & design, customer services, payment, individualization, product assortment & display, interactivity, dynamic pricing factors influence online hedonic-experiential value. Also, online hedonic-experiential value significantly related to revisiting, purchasing, and word-of mouth intention of the shopping site. The implications for online retailer are discussed and further research is suggested.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.201-213
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• 2013

The use of online shopping mall has been increasing rapidly, which reflects the convenience and economic benefits associated with its usage. As with traditional offline businesses, internet businesses have to manage customer relations to provide better services in order to ensure their business sustainability. In this regard, identifying the influencing factors to reuse intention of online shopping mall is very important. In this paper, we aim to examine the effects of perceived and individual variables on intention to reuse in the context of online shopping mall. In order to analyze the antecedents, we selected perceived and individual factors such as shopping enjoyment, concentration, perceived variety and maximizing tendency. For empirical analysis, we surveyed real users of online shopping mall. As a result, all antecedents showed significant influence on intention to reuse except perceived variety and among the variables the concentration has top standardized coefficient. In addition, perceived variety has significant effect on shopping enjoyment but not on concentration. Maximizing tendency is related to shopping enjoyment and concentration significantly. The results of this research can be useful guidelines for online shopping mall providers.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.125-151
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• 2016

In recent years, O2O (Online to Offline) services get a lot of attention to improve the trust in online shopping and minimize the inconvenience and the cost burden in offline shopping as the number of consumers, who do not show concern about the purchase platform like online or offline, increases. Even though the services have been getting the spotlight as a strong business platform for next generation commerce, there have been only a few studies on the O2O services. The purpose of this research is to investigate the factors which affect the consumer's intention to use location-based O2O services. The study is based on VAM (Value-based Adoption Model) which is able to analyze those factors from the aspects of benefit and sacrifice. We used the partial least squares (PLS) method for empirical analysis, and the result shows that contextual offers, instant connectivity, webrooming and economic efficiency, which fall under the benefit, affect perceived value positively while annoyance and face consciousness, which fall under the sacrifice, do not affect perceived value significantly. In addition, contextual offers and instant connectivity affect trust positively. Location accuracy, which falls under the benefit of location-based O2O service, do not significantly affect perceived value and trust while security risk affects trust and use intention negatively. It appears that trust affects perceived value and use intention positively.

• Journal of Korea Port Economic Association
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• v.35 no.1
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• pp.39-56
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• 2019

This study addresses the management performance of the retail industry in Korea. The Non-store e-commerce business, consisting of TV home shopping and online shopping, grew very fast during the 2000s. For roughly six years in the 2010s, the diversification of online shopping business models, intensifying competition, and the proliferation of competition accelerated the entry of offline shopping retailers. During the analysis period from 2001 to 2016, the performance of the Non-­store e-commerce business was statistically better than that of the offline shopping retail business, department stores, general retailers, and small­-sized retailers. As expected, a significant difference between performance and some of the indicators of growth and activity could be seen because of the capital and operating structure of the retail industry. In particular, the Non-store e-commerce businesses have diverse sales media and heterogeneous business models. In this study, we have presented the significance of the differences in the indicators of operating profit and inventory turnover, as well as the discussion required for managing in the future.