• Title/Summary/Keyword: Offline shopping

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Internet and offline shopping mall research on customer trust strategies (인터넷쇼핑몰과 오프라인쇼핑몰의 신뢰에 미치는 영향에 관한 연구)

  • Kwon, Soon-Hong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.377-379
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    • 2011
  • 기존의 오프라인보다 인터넷 쇼핑몰의 고객유지가(retention)가 중요해지는 상황에서, 기존의 백화점에서 쇼핑하는 쇼핑객들이 중요하게 생각하는 개념과 인터넷 쇼핑을 이용하는 인터넷 이용자들이 중요하게 생각하는 개념을 비교하면서 지각된 가치(perceived value)가 고객만족(customer satisfaction), 신뢰(trust)에 미치는 영향에 관한 구조적 관계를 설정하고 온라인과 오프라인쇼핑몰에 대해 비교 분석한 결과는 다음과 같다. 인터넷쇼핑몰의 경우에는 고객이 만족하면 신뢰감이 생긴다. 오프라인쇼핑몰에서는 고객만족하면 신뢰의 중요성이 낮게 나타난다. 인터넷 기업과 오프라인쇼핑몰 기업 측면에서 고객만족과 신뢰를 확보할 수 있는 전략적 가이드를 제공한다.

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A Study on the Classification and Operation Systems of Fashion Offline Store (점포형 패션유통형태의 분류체계와 운영방식에 관한 연구)

  • Kim, Hee-Sun;Ahn, Young-Sill
    • Journal of the Korea Fashion and Costume Design Association
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    • v.17 no.4
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    • pp.173-189
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    • 2015
  • The purpose of this study is to present the classification and operation systems of fashion offline stores. This research analyzed fashion literatures, articles and papers published by fashion-related companies and interviewed fashion practitioners. This research can be used as information for practitioners of the domestic fashion brand and students of fashion majors. The classification and operation systems of fashion offline stores are as follows. 1. The types of fashion offline store is classified as a form of road shop, department store, complex shopping center, select shop, outlet, and fashion wholesale retail specialty store. 2. The road shop is classified flagship store, franchise store, direct sales store, and street brand store. 3. The department store is recently using strategy to improve the profit rate, as setting up the select shop, expand the import contemporary brand stores, the men's brand stores, SPA brand stores, the street brand stores, and the soho internet shopping mall brands instead of reducing the national brands. 4. Most forms of fashion offline stores enhanced the functions to combine the catering, cultural activities and purchasing the lifestyle-related products, as well as fashion items. 5. The types of the operation system in fashion offline stores is classified as direct operations, franchise operations, middle management operations, and fully insert operations. 6. Franchise operations are tended to decline, however middle manager operations are overwhelming.

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A Study on the Factors Affecting the Intention to Use O2O Services (O2O 서비스의 사용의도에 영향을 미치는 요인에 관한 연구)

  • Jeong, Yu Jin;Song, Yong Uk
    • 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.

An Empirical Study on the Weight of Purchasing Factors according the Purchasing Style Using the AHP (계층분석과정을 이용한 소비자의 구매행태에 따른 구매요인별 중요도에 관한 실증적 연구)

  • Kim Shin-Joong
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.5 s.37
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    • pp.259-270
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    • 2005
  • The primary research objective of this study is to evaluate a weight of purchase decision making factors according to the purchasing style. In this study, the purchasing style is classified into two categories-online shopping and offline shopping group. This study adopts the AHP method to calculate a weight of factors. For this purpose, 22 purchasing factors which affect on consumer purchasing decision making are classified into four factors - a product related factor, a convenience related factor, a purchasing risk related factor and a shopping enjoyment related factor. In this study, the weights of purchasing factors are evaluated according to 1)the purchasing style-online and offline Purchasing group, 2)the frequency of online shopping-high and low group, 3)the media used for online shopping-the TV home shopping and Internet home shopping group. The result shows that there are difference the weight of factors according to the purchasing style.

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Open-source robot platform providing offline personalized advertisements (오프라인 맞춤형 광고 제공을 위한 오픈소스 로봇 플랫폼)

  • Kim, Young-Gi;Ryu, Geon-Hee;Hwang, Eui-Song;Lee, Byeong-Ho;Yoo, Jeong-Ki
    • Journal of Convergence for Information Technology
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    • v.10 no.4
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    • pp.1-10
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    • 2020
  • The performance of the personalized product recommendation system for offline shopping malls is poor compared with the one using online environment information since it is difficult to obtain visitors' characteristic information. In this paper, a mobile robot platform is suggested capable of recommending personalized advertisement using customers' sex and age information provided by Face API of MS Azure Cloud service. The performance of the developed robot is verified through locomotion experiments, and the performance of API used for our robot is tested using sampled images from open Asian FAce Dataset (AFAD). The developed robot could be effective in marketing by providing personalized advertisements at offline shopping malls.

An Analysis on the Omni-Channel Strategy of Distribution Enterprise in Domestic and International (국내·외 유통업체의 옴니채널 전략 활용현황 분석)

  • Oh, Jung-Ah
    • Korean Institute of Interior Design Journal
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    • v.25 no.5
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    • pp.111-120
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    • 2016
  • Unlike the past, brick-and-mortar is no longer on the priority list for the shopping activity. Instead, it is replaced by various non-store shopping alternatives, such as Internet, TV, catalog, mobile, etc. As consumers engage digitally, they made fewer trips to stores. Especially, as mobile shopping made the price comparison possible while shopping in the store, new shopping trend of 'showrooming' came to the fore as the serious issue. In order to cope with the this crisis, many brick-and-mortar retailers utilize omni-channel strategy for their countermeasure. This research paper is to suggest the omni-channel strategy that is applicable for the brick-and-mortar retailers. The results are as follows. First, in order to set up the connected-channel shopping environment, consumers have to be exposed to the environment that can deliver the continuous brand experience under the same price policy, brand and store management, etc, as integrating the various purchasing channels into one. Especially, in-store environment needs to change for the place where consumer experience is stressed for the most as using virtual reality devices with augmented reality technology. Also, the online digital kiosk, and tablet that consumer can order the products through the online channel while shopping in-store Second, the barrier-free in-store environment should be offered in order to increase the consumer convenience. This change will allow consumer communicate with the store environment more effectively. Lastly, brick-and-mortar should extend the physical territory as utilizing the offline's advantage and disadvantage through setting up the digital interactive wall or pop-up store for increasing the opportunity of customer interaction with the store. Moreover, visiting service for the elderly, housewife with the baby, or disabled person will be one of the effective substitute.

Influence of Trust, Uncertainty, Transaction Cost, and Individual's Neuroticism on Continuous Purchase Intentions in the Context of Multi-channels Shopping (멀티채널 쇼핑상황에서 신뢰, 불확실성, 거래비용 및 뉴로티시즘이 지속구매의도에 미치는 영향)

  • Jeon, Hyeon Gyu;Lee, Kun Chang
    • Science of Emotion and Sensibility
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    • v.19 no.4
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    • pp.41-54
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    • 2016
  • Recently, in the arena of online shopping, the gap between offline channel and online channel tends to be narrowed significantly. Though previous studies also represent this trend, it still remains ambiguous how much offline trust has a significant influence on user's online shopping behaviors. Furthermore, those research issues such as how individual neuroticism, uncertainty, and transaction cost plays an important role in explaining user's online shopping satisfaction and continuance intention. In this sense, this study aims to organize a new research model including offline trust, uncertainty, transaction cost, satisfaction, and continuance intention. Especially, we are interested in investigating how much moderating effects the individual neuroticism possesses for the paths among the rest of constructs. By using 406 valid questionnaires, we found empirically that transaction cost affects user's online shopping continuance intention, but it has no influence on satisfaction. The individual neuroticism has full moderating effects on the paths on the rest of constructs included in the proposed research model.

An Investigation on Expanding Co-occurrence Criteria in Association Rule Mining (온라인 연관관계 분석의 장바구니 기준에 대한 연구)

  • Kim, Mi-Sung;Kim, Nam-Gyu
    • CRM연구
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    • v.4 no.2
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    • pp.19-29
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    • 2011
  • There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems.

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Understanding the Impact of Internet Shopping Agent to Consumer's Purchasing Behavior : A Decision Process Perspective (인터넷 쇼핑에이전트가 소비자 구매행위에 미치는 영향에 대한 이해 : 의사결정 프로세스의 관점에서)

  • Chung, Namho
    • Knowledge Management Research
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    • v.10 no.3
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    • pp.17-33
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    • 2009
  • The emergence of the Internet shopping agent enabled consumers to enjoy Internet shopping more easily and quickly. Especially, the role of Internet shopping agent is becoming more important following the information overload trend on the Internet in that the consumers can promptly obtain information about a certain product and its price among countless items on the Internet. As a result, consumers can now enjoy shopping more easily, compared to the offline shopping which requires a lot of efforts in comparing the products and purchasing them. Since the Internet shopping agents collect extensive information about the products' price, delivery period, detailed characteristics, etc., and present a comparison table containing the information to the consumers, the consumers can shop more quickly at lower price using such shopping agents. However, it has not been sufficiently studied about how the various functions of shopping agents actually support consumers' purchase decision making procedure in everyday life, and if they do, in which stages they play a supporting role in consumers' purchase decision making system. Therefore, this study conducts an empirical analysis on the role of the Internet shopping agents in the purchase decision making process of the consumers, considering the Internet shopping agent as a decision making supporting system. Moreover, it analyzes how the effects of the Internet shopping agent differs according to the consumers' knowledge level about the products.

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Perceived Risk and Purchase Obstruction Factors When Purchasing Clothing Online (인터넷 쇼핑몰에서 구매 경험과 소비자 특성이 의류 제품 구매 시 지각하는 위험과 구매 저해에 미치는 영향)

  • Kim, Ji-Yeon;Moon, Ji-Young;Park, Jung-Kwon;Choi, Eun-Chung;Lee, Ji-Yeon
    • The Research Journal of the Costume Culture
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    • v.18 no.1
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    • pp.118-132
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    • 2010
  • The purpose of this study is to understand factors of risk perception and purchase obstruction by consumer characteristics and purchase experience of clothing in online. The collection of the research materials was progressed by online and offline. Out of 374 usable questionnaires used for examining this study, 278 questionnaires were collected from offline and 107 questionnaires were collected from online. Frequency analysis, factor analysis, reliability analysis, t-test, One-way ANOVA and multiple regression analysis using SPSS WIN 12.0 were conducted. Three factors of perceived risk were extracted: harmonic/image, quality/shopping process, payments. Based on these dimensions, ANOVA was conducted. The results indicated that the more purchasing experience people had, the less the extent of perceived risk they got, and quality/shopping process risk mostly among them. As the factors which obstruct purchasing decision, a security obstruction, a reliability obstruction, a convenient obstruction and an information insufficient obstruction are extracted. Also, the factors have got the result of same aspects as the perceived risk recognized by the Internet shopping experience. Meaningful differences between groups appear at security obstruction, reliability obstruction, and convenient obstruction. Perceived risk almost influenced on purchase obstruction when purchasing clothes in Internet shopping mall. When consumers perceiving harmony/image risk highly make decisions, they usually hesitate or abandon due to reliability obstruction, convenient obstruction. All the factors: including security obstruction, reliability obstruction, convenient obstruction and information insufficient obstruction made consumers perceiving quality/shopping process risk highly obstruct purchase decision.