• Journal of Distribution Research
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• v.9 no.2
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• pp.29-43
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• 2004

This research analyzed multi-channel strategy from the viewpoint of the customer relationship management. We hypothesized that the purchase frequency, monetary, purchase quantity of the existing customers should have increased after they used multiple channels of a company for shopping, All the hypothesis were supported in an empirical test using the customer database of a Korean TV home-shopping company, The result showed that the multi-channel strategy can be used to increase the life-time value of existing customers. Still there were a lot of customers who insists using traditional channel, which calls for a new strategy inducing them to use multi- channel for shopping.

• Journal of Intelligence and Information Systems
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• v.15 no.3
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• pp.81-102
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• 2009

In this study, we investigated how to achieve differentiation for the ISM (Internet Shopping Mall) to improve profitability, which is required for survival in the fiercely competitive ISM industry. We analyzed implementation level key managerial factors that could contribute to the differentiation of the ISM. The research model is constructed through integration of two distinctive research streams of e-commerce. The one is B2C differentiation strategy research, most of which are conceptual and conducted at a strategy level, and the other is empirical research analyzing the antecedents of customer satisfaction at the ISM. This study is organized as follows. First, we draw upon transaction cost theory to organize constructs representing customer value associated with the customer buying decision process. Next, after reviewing comprehensive managerial factors that could impact on customer value, we selected 15 managerial factors that could contribute to the differentiation of the ISM to deliver value to customers. Finally, the resulting structural model is validated through empirical analyses. The results provide insights for future studies on ISM differentiation.

• Fashion & Textile Research Journal
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• v.12 no.2
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• pp.188-193
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• 2010

The purpose of this study was to investigate the online review writing motives of online shopping on repurchase intention and recommendation intention about fashion merchandise. The questionnaire was administered to 279 people who had experience in online shopping. The data were analyzed by utilizing factor analysis, multiple regression analysis and t-test. The results of this study were as follow. First, the online review writing motives were divided into three categories such as benefit pursuit/hedonic shopping value, information transmission and evaluation. Second, the consumer who has experience of writing review prefers to repurchase other products in that online shopping mall and to recommend those products more than the consumer who doesn't have that experience. Third, the benefit pursuit/hedonic and information transmission had an effect on repurchasing intention and recommendation intention.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.76-86
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• 2022

The purpose of this study is to provide insights into live streaming consumer purchase intention by drawing on congruence between consumer and influencer factors and live shopping contents factors during the spread of COVID-19. We surveyed 348 individuals who have watched Fresh Hema's live streaming. SPSS and AMOS were used for data analysis. We determined that only actual congruity between influencer and consumer significantly influenced the consumer social experience. On the other hand, both the informativeness and entertainment value of live shopping contents positively impacted the consumer social experience. Additionally, social experience was significantly related to consumer co-experience and purchase intention. Moreover, the significant mediation effect of social experience was found amongst congruence between consumer and influencers, live shopping contents, co-experience, and purchase intention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.148-167
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• 2020

Today, digital shoppers express increasingly complex buying behavior. They can use multiple channels for shopping and also they can switch from one to another channel almost effortlessly, in the result of engaging in omnichannel shopping behavior. A few years ago, consumers were using brick and mortar stores to make their purchases. However, nowadays, they possess different digital devices (mobile and/or desktop) to search for different alternatives and to make a better shopping choice. These devices (mobile and desktop) are different and offer unique benefits to consumers. However, there has been very little research that has treated mobile and desktop devices separately. Perhaps this study is the pioneer when it comes to investigating the effect of regulatory focus (prevention vs. promotion) and chronotype (morning and evening person) on a sample of university students using desktop and mobile channels for their shopping. The findings from a sample of 312 digital consumers (mobile and/or desktop) confirmed that the desktop channel provides a greater fit for morning-type respondents and that the mobile channel offers better value for evening-type respondents in e-retail. Furthermore, promotion-focused shoppers favor the mobile channel, and prevention-focused shoppers favor the desktop channel. The new insights and contributions of this study provide a better understanding of digital consumers to help sellers to develop a more effective e-retail strategy.

• The Research Journal of the Costume Culture
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• v.21 no.5
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• pp.671-683
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• 2013

The purpose of this study was to identify middle-school boys' purchase behavior according to their shoes shopping orientation. A self-administered questionnaire was used to collect from 314 subjects. Factor analysis, Chi-square test, and one-way ANOVA were done using SPSS PC (Ver. 18.0). Most middle-school boys selected shoes that were 255~270mm, possessed on to two pairs of school shoes, searched for information for about five days before purchase, had spent 50,000~150,000 won on one to two pairs of shoes during the previous six months, saw design, comfort, and brand as their selection criteria, chose their shoes by themselves, shoes specialty stores, had favorite brands, preferred athletic shoes made of achromatic canvas, and bought new shoes when their old ones wore out. Factors of shoe shopping orientation were fashion and brand, economy, conformity, and comfort, and students were grouped into an active shopping group, an underdeveloped shopping orientation group, and a value pursuit group. The active shopping group bought more shoes, spent more on shoes, selected their shoes themselves, patronized discount shoe stores or specialty stores, and preferred national brand shoes. The underdeveloped shopping orientation group accepted their friends' opinions when selecting shoes and bought cheaper shoes. The value pursuit group accepted their parents' opinions when selecting shoes, patronized internet shopping malls or traditional markets, and selected cheaper shoes. The shoe shopping orientation of middle-school boys was immature, but they showed strong consumption needs.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.8
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• pp.1274-1285
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• 2008

The purpose of this study is to investigate influences of perceived price dimensions and store attributes on store choice behavior. Three major retail formats, department store, discount store, and internet shopping mall in retail industry were compared with respect to store attributes and intention to purchase fashion products. Data were obtained from 427 consumers aged 25-49 years old. The results were as follows. (1) Multidimensional aspects of the price construct were identified: price-quality schema, prestige sensitivity, price mavenism, value consciousness, price consciousness, and sales proneness. (2) Store attributes included product assortment, quality per price (Q/P), service, and symbolic image in general. However, store attribute factors of three retail formats consisted of slightly different items. Department stores presented the highest level of mean scores on product quality, customer service, and symbolic images, while internet mall exhibited highest on product variety, information comparison, and quality per price. (3) Respondents presented high level of intention to purchase fashion products at internet mall, department store, and discount store in that order. (4) Purchase intention at department store was predicted by Q/P, service, symbolic image, prestige sensitivity, product assortment, clothing consumption, and age in order. Purchase intention at discount store was influenced by assortment & Q/P, symbolic image, clothing consumption, and sales proneness, whereas internet mall was predicted by product assortment, Q/P, service, price mavenism, and price-quality schema.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.13-25
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• 2011

This study investigates the factors influencing consumer's channel selection for luxury fashion items, specifically the effect of (i) perceived luxury benefits, (ii) perceived online shopping risks, (iii) demographics, and (iv) purchasing behavior. A survey questionnaire was developed and implemented to measure the perceived luxury benefits, perceived online shopping risks, purchasing behaviors, and consumer demographics. A total of 396 responses were analyzed by one-way ANOVA, cross-tab, and multinomial logit analysis with SPSS18.0. The results are as follows. First, those who shop in offline shopping channels tend to be heavy buyers that look for product quality and conspicuousness. They perceive low risks from online shopping and purchase few bag items offline. Second, those who shop online tend to be men and perceive the high benefits of economic value. Third, those who shop in multi channels tend to be men, search for information via the Internet, and purchase few accessory items. Implications for multichannel strategies are suggested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.143-146
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• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• Asia pacific journal of information systems
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• v.12 no.1
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• pp.1-16
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• 2002

Most of searching systems used by shopping-mall provide too much information for user requirements or fail to provide appropriate items reflecting customer's preference. This paper aims to design and implement the product searching systems based on customer preference which will enable efficient product selection in the internet shopping-mall. The proposed system consists of user/provider interface, searching and model agent, data management system, and model management system. Especially, we construct the searching pattern database to support fast search using association mining method. And this system includes the customer-oriented decision model which shows the highly preferred products. Input weight value per attribute and preference level should be needed to compute priority grade of preference.