• 제목/요약/키워드: Online Daily Deals

검색결과 3건 처리시간 0.02초

소셜 커머스 시장의 롱테일 현상에 대한 실증 연구 (An Empirical Analysis on Long Tail Patterns with Online Daily Deals)

  • 전성민
    • 한국전자거래학회지
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    • 제19권1호
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    • pp.119-129
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    • 2014
  • 전자상거래 시장에서 롱테일 경제가 출현함에 따라 80/20 룰로 알려진 파레토 법칙의 일반적인 적용에 의문이 제기되고 있다. 이러한 제품 집중도의 변화는 인터넷 인프라 기반기술 위에 구현된 대량맞춤(mass customization)에서 기인한다고 예측된다. 본 연구는 그루폰과 유사한 소셜 커머스 웹사이트로부터 얻은 실거래 정보를 실증 분석하여 제품 및 고객 집중도를 분석하였다. 분석 결과, 이전 전자상거래 연구와 같이 소셜 커머스에서도 파레토 법칙과 다른 롱테일 패턴이 나타났다. 더욱이 email 또는 SMS를 통한 홍보가 판매 집중도 패턴에 영향을 미치는 것으로 파악되었다. email과 SMS를 통한 홍보는 모두 소셜 커머스 쿠폰 판매를 증가시킬 것이라는 예상과는 달리, SMS 홍보는 쿠폰 전반적으로 판매를 증가시키나, 소량 판매 제품의 경우 email 홍보는 오히려 제품 판매를 감소시키는 결과를 보였다.

Incorporation of Fuzzy Theory with Heavyweight Ontology and Its Application on Vague Information Retrieval for Decision Making

  • Bukhari, Ahmad C.;Kim, Yong-Gi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권3호
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    • pp.171-177
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    • 2011
  • The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protege to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protege Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.

상권방문 추진동기와 몰입, 만족, 재방문 의도 (Visit Push Motivation for a Trading Area and Flow, Satisfaction, and Revisit Intention)

  • 이수덕;이용기
    • 유통과학연구
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    • 제16권9호
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    • pp.65-77
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    • 2018
  • Purpose - A trading area is very closely related to consumer life. A trading area is a cultural and social space that consumes culture and promotes human relationships as well as an economic space where consumers live their daily lives. In this context, a trading area research should be conducted objectively and empirically because it deals with the activities of consumer's life. The purpose of this study is to identify the intrinsic psychological motivation(push motivation) caused when consumers visit a trading area and to demonstrate how the push motivation for a trading area influence on consumer's flow, satisfaction, revisit intention. Research design, data, and methodology - In order to develop research hypotheses for this study, the development procedures for push motivation scale are as follows; (1) generating initial pool of items based on previous studies, (2) expert judgement to evaluate content and face validity, and (3) assessing convergent and discriminant validity using confirmatory factor analysis. In order to achieve these purposes, online surveys were conducted on frequent or familiar visitors to the trading areas around the Gangnam, Kunkuk University and Hongik University Station. Among the 1,343 questionnaires collected, 1,157 cases were analyzed by using SPSS 22.0 and SmartPLS 3.0 statistical package program, except for 186 responses in which responses were judged to be unfaithful. Results - The push motivation was classified into five sub-dimensions of excitement/stimulus, rest/relaxation, exit/refreshing, knowledge/learning and human relationship promotion as multidimensional and complex factors composed of individual and social-related dimensions. The excitement/stimulus and human relationship promotion of push motivation have positive effects on satisfaction. However, all dimensions of the push motivation have positive effects on flow. And flow has a positive effect on satisfaction and revisit intention. Meanwhile, the mediation test using boostrapping shows that flow plays a full mediating role in the relationship between rest/relaxation, exit/refreshing, knowledge/learning and satisfaction, but a partial mediating rol e between excitement/stimulus, human relationship promotion and satisfaction. Finally, satisfaction plays a partial mediating role between flow and revisit intention. Conclusions - This study shows that the push motivation is multidimensional and compositive depending on the situation of a consumer. In addition, it is found that the human relationship promotion(a social-related motivation) has a much more important effect on flow and satisfaction than other push motivations of individual dimensions. It also shows that satisfaction increases when consumers are being flowed at their visit and degree of revisit intention also grows as satisfaction increases. As implications of this study, a marketer should try to understand consumer's visit motivation at first and then develop factors that increase their flow, satisfaction, revisit intention. It also requires a marketer to approach subjects on a trading area more objectively and empirically based on the psychology and behavior of consumers, in order to establish a proper and efficient strategy on development of a trading area.