• Title/Summary/Keyword: Virtual address

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온라인 구전정보 수용자의 지각된 정보유용성과 자기효능감이 구전정보 수용의도에 미치는 영향에 관한 연구: 의견고수와 구전수용의 비교 (Investigating the Influence of Perceived Usefulness and Self-Efficacy on Online WOM Adoption Based on Cognitive Dissonance Theory: Stick to Your Own Preference VS. Follow What Others Said)

  • 이정현;박주석;김현모;박재홍
    • Asia pacific journal of information systems
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    • 제23권3호
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    • pp.131-154
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    • 2013
  • New internet technologies have created a revolutionary new platform which allows consumers to make decision about product price and quality quickly and provides information about themselves through the transcript of online reviews. By expressing their feelings toward products or services on virtual opinion platforms, users extend their influence into cyberspace as electronic word-of-mouth (e-WOM). Existing research indicates that an impact of eWOM on the consumer decision process is influential. For both academic researchers and practitioners, investigating this phenomenon of information sharing in online website is essential given the increasing number of consumers using them as sources of purchase decisions. It is worthwhile to examine the extent to which opinion seekers are willing to accept and adopt online reviews and which factors encourage adoption. Discerning the most motivating aspects of information adoption in particular, could help electronic marketers better promote their brand and presence on the internet. The objectives of this study are to investigate how online WOM influences a persons' purchase decision by discovering which factors encourage information adoption. Especially focused on the self-efficacy, this research investigates how self-efficacy affects on information usefulness and adoption of online information. Although people are exposed to same review or comment about product or service, some accept the reviews while others do not. We notice that accepting online reviews mainly depends on the person's preference or personal characteristics. This study empirically examines this issue by using cognitive dissonance theory. Specifically, in the movie industry, we address few questions-is always positive WOM generating positive effect? What if the movie isn't the person's favorite genre? What if the person who is very self-assertive so doesn't take other's opinion easily? In these cases of cognitive dissonance, is always WOM generating same result? While many studies have focused on one direct of WOM which indicates positive (or negative) informative reviews or comments generate positive (or negative) results and more (or less) profits, this study investigates not only directional properties of WOM but also how people change their opinion towards product or service positive to negative, negative to positive through the online WOM. An experiment was conducted quantitatively by using a sample of 168 users who have experience within the online movie review site, 'Naver Movie'. Users were required to complete a survey regarding reviews and comments taken from the real movie page. The data reflected user's perceptions of online WOM information that determined users' adoption level. Analysis results provide empirical support for the proposed theoretical perspective. When user can't agree with the opinion of online WOM information, in other words, when cognitive dissonance between online WOM information and users' preference occurs, perceived self-efficacy significantly decreases customers' perception of usefulness. And this perception of usefulness plays an important role in determining users' intention to adopt online WOM information. Most of researches have been concentrated on characteristics of online WOM itself such as quality or vividness of information, credibility of source and direction of online WOM, etc. for describing effect of online WOM, but our results suggest that users' personal character (e.g., self-efficacy) plays decisive role for acceptance of online WOM information. Higher self-efficacy means lower possibility to accept the information that represents counter opinion because of cognitive dissonance, whereas the people that have lower self-efficacy are willing to accept the online WOM information as true and refer to purchase decision. This study suggests a model for understanding role of direction of online WOM information. Also, our result implicates the importance of online review supervision and personalized information service by confirming switching opinion negative to positive is more difficult than positive to negative through the online WOM information. This implication would help marketers to manage online reviews of their products or services.

사회과학 연구에 있어 인터넷 및 상업용 통신망을 이용한 전자설문 조사방법의 활용 (Toward a Social Sciences Methodology for Electronic Survey Research on the Internet or Personal Computer check)

  • 홍용기;이홍기;채수경
    • 경영과정보연구
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    • 제3권
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    • pp.287-316
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    • 1999
  • Cyberspace permits us to more beyond traditional face-to-face, mail and telephone surveys, yet still to examine basic issues regarding the quality of data collection: sampling, questionnaire design, survey distribution, means of response, and database creation. This article address each of these issues by contrasting and comparing traditional survey methods(Paper-and-Pencil) with Internet or Personal Computer networks-mediated (Screen-and-Keyboard) survey methods also introduces researchers to this revolutionary and innovative tool and outlines a variety of practical methods for using the Internet or Personal Computer Networks. The revolution in telecommunications technology has fostered the rapid growth of the Internet all over the world. The Internet is a massive global network and comprising many national and international networks of interconnected computers. The Internet or Personal Computer Networks could be the comprehensive interactive tool that will facilitate the development of the skills. The Internet or Personal Computer Networks provides a virtual frontier to expand our access to information and to increase our knowledge and understanding of public opinion, political behavior, social trends and lifestyles through survey research. Comparable to other technological advancements, the Internet or Personal Computer Networks presents opportunities that will impact significantly on the process and quality of survey research now and in the twenty-first century. There are trade-offs between traditional and the Internet or Personal Computer Networks survey. The Internet or Personal Computer Networks is an important channel for obtaining information for target participants. The cost savings in time, efforts, and material were substantial. The use of the Internet or Personal Computer Networks survey tool will increase the quality of research environment. There are several limitations to the Internet or Personal Computer Network survey approach. It requires the researcher to be familiar with Internet navigation and E-mail, it is essential for this process. The use of Listserv and Newsgroup result in a biased sample of the population of corporate trainers. However, it is this group that participates in technology and is in the fore front of shaping the new organizations of interest, and therefore it consists of appropriate participants. If this survey method becomes popular and is too frequently used, potential respondents may become as annoyed with E-mail as the sometimes are with mail survey and junk mail. Being a member of the Listserv of Newsgroup may moderate that reaction. There is a need to determine efficient, effective ways for the researcher to strip identifiers from E-mail, so that respondents remain anonymous, while simultaneously blocking a respondent from responding to a particular survey instrument more than once. The optimum process would be on that is initiated by the researcher : simple, fast and inexpensive to administer and has credibility with respondents. This would protect the legitimacy of the sample and anonymity. Creating attractive Internet or Personal Computer Networks survey formats that build on the strengths of standardized structures but also capitalize on the dynamic and interactive capability of the medium. Without such innovations in survey design, it is difficult to imagine why potential survey respondents would use their time to answer questions. More must be done to create diverse and exciting ways of building an credibility between respondents and researchers on the Internet or Personal Computer Networks. We believe that the future of much exciting research is based in the Electronic survey research. The ability to communicate across distance, time, and national boundaries offers great possibilities for studying the ways in which technology and technological discourse are shaped. used, and disseminated ; the many recent doctoral dissertations that treat some aspect of electronic survey research testify to the increase focus on the Internet or Personal Computer Networks. Thus, scholars should begin a serious conversation about the methodological issues of conducting research In cyberspace. Of all the disciplines, Internet or Personal Computer Networks, emphasis on the relationship between technology and human communication, should take the lead in considering research in the cyberspace.

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카테고리 연관 규칙 마이닝을 활용한 추천 정확도 향상 기법 (A Study on the Improvement of Recommendation Accuracy by Using Category Association Rule Mining)

  • 이동원
    • 지능정보연구
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    • 제26권2호
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    • pp.27-42
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    • 2020
  • 인터넷이라는 가상 공간을 활용함으로써 물리적 공간의 제약을 갖는 오프라인 쇼핑의 한계를 넘어선 온라인 쇼핑은 다양한 기호를 가진 소비자를 만족시킬 수 있는 수많은 상품을 진열할 수 있게 되었다. 그러나, 이는 역설적으로 소비자가 구매의사결정 과정에서 너무 많은 대안을 비교 평가해야 하는 어려움을 겪게 함으로써 오히려 상품 선택을 방해하는 원인이 되기도 한다. 이런 부작용을 해소하기 위한 노력으로서, 연관 상품 추천은 수많은 상품을 다루는 온라인 상거래에서 소비자의 구매의사결정 과정 중 정보탐색 및 대안평가에 소요되는 시간과 노력을 줄여주고 이탈을 방지하며 판매자의 매출 증대에 기여할 수 있다. 연관 상품 추천에 사용되는 연관 규칙 마이닝 기법은 통계적 방법을 통해 주문과 같은 거래 데이터로부터 서로 연관성 높은 상품을 효과적으로 발견할 수 있다. 하지만, 이 기법은 거래 건수를 기반으로 하므로, 잠재적으로 판매 가능성이 높을지라도 충분한 거래 건수가 확보되지 못한 상품은 추천 목록에서 누락될 수 있다. 이렇게 추천 시 제외된 상품은 소비자에게 구매될 수 있는 충분한 기회를 확보하지 못할 수 있으며, 또 다시 다른 상품에 비해 상대적으로 낮은 추천 기회를 얻는 악순환을 겪을 수도 있다. 본 연구는 구매의사결정이 결국 상품이 지닌 속성에 대한 사용자의 평가를 기반으로 한다는 점에 착안하여, 추천 시 상품의 속성을 반영하면 소비자가 특정 상품을 선택할 확률을 좀더 정확하게 예측할 수 있다는 점을 추천 시스템에 반영하기 위한 목적으로 수행되었다. 즉, 어떤 상품 페이지를 방문한 소비자는 그 상품이 지닌 속성들에 어느 정도 관심을 보인 것이며 추천 시스템은 이런 속성들을 기반으로 연관성을 지닌 상품을 더 정교하게 찾을 수 있다는 것이다. 상품의 주요 속성의 하나로서, 카테고리는 두 상품 간에 아직 드러나지 않은 잠재적인 연관성을 찾기에 적합한 대상이 될 수 있다고 판단하였다. 본 연구는 연관 상품 추천에 상품 간의 연관성뿐만 아니라 카테고리 간의 연관성을 추가로 반영함으로써 추천의 정확도를 높일 수 있는 예측모형을 개발하였고, 온라인 쇼핑몰로부터 수집된 주문 데이터를 활용하여 이루어진 실험은 기존 모형에 비해 추천 성능이 개선됨을 보였다. 실무적인 관점에서 볼 때, 본 연구는 소비자의 구매 만족도를 향상시키고 판매자의 매출을 증가시키는 데에 기여할 수 있을 것으로 기대된다.