• Asia pacific journal of information systems
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• 제17권2호
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• pp.83-95
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• 2007

We are motivated by how offline and online firms compete. The Internet made many conventional offline firms build a dynamic online business as another sales channel using their advantages such as brand equity, an existing customer base with comprehensive purchasing data, integrated marketing, economies of scale, and longtime experience with the logistics of order fulfillment and customer service. Even though the hybrid selling using both offline and online channel seems to have advantages over a pure online retailer, all the conventional offline firms are not seen to create an online business. Many conventional offline firms began to launch online business since the Internet era, however, just being online business is not likely to guarantee success. According to Bizate.com's report whether the hybrid channel strategy is successful is still under investigation. For example, consider the classic case of Barnes and Noble versus Amazon.com, Barnes and Noble was already the largest chain of bookstores in the U,S., when Amazon.com was established in 1995, BarnesandNoble.com followed suit in 1997, After suffering losses in its initial years, Amazon finally turned profitable in 2003. In 2004, Amazon's net income was $588 million on revenues of $6.92 billion, while Barnes and Noble earned $143 million on revenues of $4.87 billion, which included BarnesandNoble.com's loss of $21 million on revenues of $420 million. While these examples serve to motivate our thinking, it does not explain when offline firms should venture online. It also does not provide an analytical framework that can generalized to other competitive online-offline situations. We attempt to do this in this paper and analyze a hybrid channel model where a conventional offline firm competes against online firms using its own direct online channels. We are particularly interested in an optimal channel strategy when a conventional offline firm sells its products through its own direct online channel to compete with other rival online firms. We consider two situations where its direct online channel and other online firms are symmetric and asymmetric in the brand effect. The analysis of this paper presents several findings. In the symmetric model where a hybrid firm's online channel is not differentiated from a pure online firm, (i) a conventional offline firm will not launch its online business. In the asymmetric model where a hybrid firm's online channel is differentiated from a pure online firm, (ii) a conventional offline firm can launch its online business if its brand effect is greater than a certain threshold. (iii) there is a positive relationship between its brand effect and online customer costs showing that a conventional offline firm needs more brand effect in order to launch online business as online customer costs decrease. (iv) there is a negative relationship between its brand effect and the number of customers with access to the Internet showing that a conventional offline firm tends to launch its online business when customers with access to the Internet increases.

• 한국의류학회지
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• 제35권5호
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• pp.601-611
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• 2011

This research evaluates the availability of consumers moving to integrated multi channels by a target analysis on the integrated online channel and verifies the possibility of a synergy effect created by the expansion of an integrated online channel. The objectives are to define the scope of benefits desired in fast fashion and online shopping, compare the desired benefits of fast fashion consumers, online shopping consumers and fast fashion, and online shopping consumers, investigate the acceptance intention of the integrated online channel of consumers, and verity its relationship with the desired benefits. As a result, all consumers indicate the desire to pursue social recognition, pleasure, individuality, economic and convenience orientation, and fashion-innovativeness through shopping activities. In addition, there were differences in the mean of social recognition benefit individuality benefit, economical and convenience orientation benefit, and fashion-innovativeness benefit. Lastly, the acceptance intention of the integrated online channel was significant in all groups and the desired benefits that affect the acceptance intention of the integrated online channel were social recognition for fast fashion consumers along with pleasure and individuality for fast fashion and online shopping consumers.

• 한국의류학회지
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• 제37권4호
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• pp.467-481
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• 2013

The study examined the main effect of the reward channel and reward time of customer loyalty programs for on-offline shopping channels; in addition, it investigated the interaction effect of the reward channels and merchandise as well as the interaction effect of the reward time and merchandise. An online apparel shopping web experiment was conducted with a 2 (reward channel: online channel reward vs. offline channel reward) ${\times}2$ (reward time: immediate vs. delayed) ${\times}2$ (merchandise: online channel product vs. offline channel products) between-subject factorial design. An online shopping channel was considered the core-shopping channel and a department store was considered the cross-shopping channel. Loyalty program value, core-channel loyalty and cross-channel loyalty were measured as dependent variables. A total of 845 shoppers (who had experiences in shopping in both channels) participated in the experiment. The results of the study revealed (1) the main effect of the reward channel on loyalty program value, core-channel loyalty and cross-channel loyalty [online>offline channel rewards], (2) the main effect of reward time on loyalty program value, core-channel loyalty and cross-channel loyalty [immediate>delayed reward], and (3) the interaction effect of the reward channel and merchandise on loyalty program value, core-channel loyalty, and cross-channel loyalty. (4) Finally the study found that loyalty program value affected cross-channel loyalty indirectly through core-channel loyalty. This study suggested diverse theoretical and managerial implications for multi-channel retailers.

• 지식경영연구
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• 제16권4호
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• pp.109-132
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• 2015

We examine offline and online channel sales of experience goods, and compare and contrast the sales patterns of existing products and new products between channels. To this end, we obtain the channel-specific time-series sales data from the leading company selling beauty products, both offline and online. By applying the Vector Autoregressive Model, we empirically find out how the relationship between existing products and new products changes between the shopping channels. Our empirical findings are as follows. First, the sales effects from existing products to new products are significantly positive at both offline and online channels, and this positive effect is greater in the offline channel than in the online channel. Second, the influence of new products on existing products is more positive in the offline channel than in the online channel. Third, the impact of existing products sales on new products sales is greater than that of new products on existing products. Lastly, the inertia effect, the effect within the same shopping channel and the same selling product, is significantly positive in the offline channel but not in the online channel, and this asymmetric inertia effect emerges as we focus on experience goods. Moreover, the impulse response function analysis provides the three important implications. First, companies should pay attention to the same channel but different types of products. Second, the offline channel is more vulnerable to market shock than the online channel. Third, new products sales vary by existing products sales to the greater extent, compared to the opposite relationship. We believe our study contributes theoretically and practically to the fields of marketing and knowledge management.

• 경영과학
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• 제33권4호
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• pp.77-89
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• 2016

Due to recent proliferation of the mobile shopping channels, customers increasingly tend to purchase using online channel while experiencing physical products in offline shops. This phenomenon requires traditional offline retailers to consider integrating online channels. In this study, we propose strategic options for the traditional offline retailers regarding the online channel integration, and provide corresponding decision models to maximize the expected profits. We also investigate how the strategic options vary with the product characteristics, by categorizing the products based on inventory cost, demand uncertainty, and fitness to the online channels. By analyzing numerical examples we illustrate how the best online channel integration strategy should be differentiated depending on the product categories.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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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.

• 한국의류학회지
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• 제42권6호
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• pp.909-923
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• 2018

Online retailers' offline channel expansion is rapidly growing as an important consumer incentive strategy, despite the enormous initial costs of establishing a store. This study focuses on the offline channel operation of online shopping malls, and examines the effects and influencing factors of the channel expansion strategy from a consumer perspective. In-depth interviews were conducted with ten customers in their 20s and 30s who had visited online retailers' stores or purchased products. Major issues were extracted based on the framework of a channel effect mechanism proposed by Cao and Li (2015). Subsequently, it was found that existing online retailers could enhance brand image and perception by expanding their channels to offline stores. It was also emphasized that the consumer trust on the quality of the product in offline stores is a key variable, and it has a significant influence on consumer's continuous purchase and revisit intention. This study showed that borderless channel integration was the most important task when expanding channels of online retailers. So it will be necessary to strive for an omni-channel strategy so that channel integration can be strategically executed and consumers can interact regardless of channels.

• 지능정보연구
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• 제22권1호
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• pp.19-41
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• 2016

정보통신기술의 발전과 모바일 기기 사용의 생활화로 인해 최근 많은 소비자들이 멀티채널 쇼핑(multi-channel shopping)이라는 새로운 쇼핑 행태를 보이고 있다. 온라인 쇼핑이 등장한 이후, 온라인 매장에서 상품을 구매하기 전 오프라인 매장에서 상품을 먼저 확인하는 쇼루밍(showrooming) 형태의 멀티채널 쇼핑이 한 때 대세를 이루었으나, 최근에는 스마트폰, 태블릿 PC, 스마트워치 등 스마트 기기 사용의 폭발적 증가와 옴니채널(omni-channel) 전략으로 대표되는 오프라인 채널의 대대적 반격으로 인해 오프라인 매장에서 상품을 구매하기 전 온라인(혹은 모바일)으로 정보를 먼저 확인하는 웹루밍(webrooming) 현상이 도드라지게 나타나 온라인 소매업자를 위협하고 있다. 이러한 상황에서 소비자의 온라인 쇼핑에서 웹루밍으로의 쇼핑전환 의도에 영향을 미치는 요인을 분석하는 것이 의미가 있음에도 불구하고, 기존 대부분의 선행연구는 싱글채널(single-channel) 혹은 멀티채널 쇼핑 자체에만 초점을 맞추고 있다. 이에, 본 연구에서는 밀고-당기기-이주이론(push-pull-mooring theory)을 바탕으로 소비자의 온라인 채널 쇼핑이 웹루밍 형태의 쇼핑으로 전환되는 과정을 상품정보 탐색과 구매행위로 각각 구분하여 그 영향을 실증하였다. 연구모형을 검증하기 위하여, 웹루밍 경험이 있는 수도권 소재 대학생을 대상으로 280개의 설문 표본을 수집하였다. 본 연구의 결과는 현업 마케팅 종사자에게 멀티채널 소비자들을 관리하는 데 있어 실무적인 시사점을 제공함과 동시에, 향후 다양한 형태의 멀티채널 쇼핑전환 연구로의 확장에 기여할 수 있을 것으로 기대한다.

• 유통과학연구
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• 제9권2호
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• pp.31-36
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• 2011

본 논문은 오프라인 채널이 온라인 채널로 사업 영역을 확장할 경우 기존 오프라인 채널의 경쟁적 자산, 이를테면, 브랜드 명성, 서비스 만족도 등이 온라인 채널의 선호도로 연결될 수 있는지를 실증분석을 통해 증명하였다. 연구결과, 오프라인 채널의 브랜드 명성과 서비스 만족도가 오프라인 채널의 선호도에는 직접적으로 긍정적인 영향을 미치고, 온라인 채널의 선호도에는 간접적으로 영향을 미친다. 즉, 오프라인 채널의 경쟁력이 우수할 경우 고객 입장에서는 오프라인 채널의 선호도가 높아져서 거래관계에 대한 몰입과 충성심이 증가한 뒤, 시간적 거리를 두고 오프라인 기업이 확장한 온라인 채널에 대한 선호도 향상으로 발전해 갈 수 있음이 입증되었다. 즉, 오프라인 채널의 경쟁력 향상은 현재와 미래 모두의 사업 기회를 확보하는 데 긍정적 영향을 미치는 것이다. 본 연구의 주요 시사점을 정리하면 다음과 같다. 첫째, 유통 채널의 서비스 품질 관리가 브랜드 명성 관리보다 더욱 중요하다. 고객의 서비스에 대한 체험과 주관적인 평가는 장기적인 브랜드 명성 관리의 선행요소로서 중요할 뿐만 아니라, 채널 선호도에도 더 큰 영향을 미친다. 따라서, 신규 고객을 포함한 일반 고객을 대상으로 하는 광범위한 브랜드 포지셔닝 전략 보다는 기존 우수 고객을 대상으로 하는 서비스 만족도 향상 전략이 더 중요하다는 의미이다. 둘째, 기존의 오프라인 채널이 온라인 채널로서 인터넷쇼핑몰을 구축할 경우 기존의 오프라인 채널의 고객 선호도, 주관적인 평가가 그대로 온라인 채널에도 영향을 미친다는 점이다. 유통기관의 오프라인 채널이 온라인 채널로 확장한 경우뿐만 아니라, 기존의 전통 제조기업이나 서비스 기업이 영업활동의 확장으로서 온라인으로 채널을 확장한 경우도 마케팅 채널의 수직적 통합(Vertical Integration)으로서 유통채널의 확장에 준하여 모두 이에 해당될 수 있다. 셋째, '채널확장'이란 '기업이 자사의 마케팅 활동이나 영업활동의 채널을 증대하기 위하여 온라인 또는 오프라인으로 채널을 확대시키는 의사결정과 그 실행'을 의미하는 것임을 확인할 수 있다. 일반적으로 오프라인 기업의 온라인으로의 채널 확장은 유통채널 확장 그 자체를 위한 목적과 전반적인 경영 프로세스 혁신의 목적 두 가지로 나누어 질 수 있다. 전자는 전통 오프라인 기업의 매출액을 증대하여 수익창출에 기여하기 위함이고, 후자는 주로 오프라인 기업의 비용절감을 통해 수익증대에 기여하기 위함이다.

• 한국의류산업학회지
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• 제21권6호
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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.