• Title/Summary/Keyword: online decision

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Rules of Attraction: Females Perception of Male Self-Representation in a Dating App

  • Olga Roshchupkina;Olga Kim;Eun-Ju Lee
    • Asia Marketing Journal
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    • v.24 no.4
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    • pp.169-177
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    • 2023
  • In the current study, we explore how women decide whether to accept or reject a potential match offered by a dating app (Tinder). Specifically, we were trying to identify overlying factors that influence the decision and understand how women make a judgment based on limited cues provided by a Tinder profile. Women largely base their decision on the perceived attractiveness and character of the potential match. The findings suggest that attractiveness is highly subjective, with no universal rules that can be quantified; thus, it is hard to predict acceptance of the potential match. There are however factors that contribute significantly to profile rejection, such as a big age difference and the inability to clearly see the face of the person.

A Study on the Influence of Sentiment and Emotion on Review Helpfulness through Online Reviews of Restaurants (레스토랑의 온라인 리뷰를 통해 감성과 감정이 리뷰 유용성에 미치는 영향에 관한 연구)

  • Yao, Ziyan;Park, Jiyoung;Hong, Taeho
    • Knowledge Management Research
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    • v.22 no.1
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    • pp.243-267
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    • 2021
  • Sentiment represents one's own state through the process of change to stimulus, and emotion represents a simple psychological state felt for a certain phenomenon. These two terms tend to be used interchangeably, but their meaning and usage are different. In this study, we try to find out how it affects the helpfulness of reviews by classifying sentiment and emotion through online reviews written by online consumers after purchasing and using various products and services. Recently, online reviews have become a very important factor for businesses and consumers. Helpful reviews play a key role in the decision-making process of potential customers and can be assessed through review helpfulness. The helpfulness of reviews is becoming increasingly important in practice as it is utilized in marketing strategies in business as well as in purchasing decision-making issues of consumers. And academically, the importance of research to find the factors influencing the helpfulness of reviews is growing. In this study, Yelp.com secured reviews on restaurants and conducted a study on how the sentiment and emotion of online reviews affect the helpfulness of reviews. Based on the prior research, a research model including sentiment and emotions for online reviews was built, and text mining analyzes how the sentiment and emotion of online reviews affect the helpfulness of online reviews, and the difference in the effects on emotions It was verified. The results showed that negative sentiment and emotion had a greater effect on review helpfulness, which was consistent with the negative bias theory.

Impact of Information Offering and Relational Benefits on Online Purchashing Intention of Cultural Products: Difference between Stage and Screen (정보제공과 관계혜택이 문화상품 온라인구매의도에 미치는 영향: 공연상품과 상영상품의 차이)

  • Cho, Se-Hyung
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.149-163
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    • 2022
  • With the development of the culture industry, online transactions of cultural products are being activated, and offering information and establishing relationship with customers in web-site have an important influence on online purchase decision making. The purpose of this research is to examine the effect of information and relational benefits provided by online sales sites of cultural products on online purchasing intention, and to reveal through empirical analysis whether these influences show a difference between stage products and screen products. Looking at the results of the study, first, in the case of the whole, both information offering and relational benefits have a significant effect on online purchasing intention. Second, in the case of stage products(plays), product understanding information, economic relational benefits, and customization relational benefits showed significant effects, but product purchasing information showed no significant influence. Third, in the case of screen products(movies), product purchasing information and economic relational benefits showed a significant effect, but product understanding information and customization relational benefits had no significant effect. In conclusion, the impact of information offering and relational benefits on online purchasing intention differs according to cultural products, and economic relational benefit is found to be an important influencing factor on online purchase decision making in all cases. These research results are expected to be helpful in establishing differentiated marketing strategies including customer relationship management in online transactions of cultural products.

Online Word-of-Mouth: Motivation for Writing Product Reviews on Internet Shopping Sites (온라인 구전 커뮤니케이션: 온라인 쇼핑몰에서의 소비자 사용후기 작성동기)

  • Kim, Sung-Hee
    • Journal of Fashion Business
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    • v.14 no.2
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    • pp.81-94
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    • 2010
  • The online shopping environment has radically changed consumer shopping behavior. Without the actual physical shopping experience in a brick-and-mortar store, consumers make purchasing decisions over the Internet. They make an effort to obtain product information not only from online merchants, but also from previous purchasers in order to make an informed decision. Accordingly, customer comments are expected to have a significant impact on decisions to purchase goods and services online. This paper focuses on one type of electronic word-of-mouth, the online consumer review. It derives several motivations why customers post product reviews on shopping mall sites. Customer motives were identified through an in depth one-on-one interview with twenty female respondents conducted twice from June $17^{th}$ to September $11^{th}$, 2009. The interviews lasted between 40 and 60 minutes. The results showed that consumers write product reviews based on six motivations: to receive a reward or remuneration for writing a product review, to share information with other customers, to improve the quality of goods and services, to reduce customer dissatisfaction, to recommend products and services, and to derive pleasure.

Online Social Networks - Opportunities for Empowering Cancer Patients

  • Mohammadzadeh, Zeinab;Davoodi, Somayeh;Ghazisaeidi, Marjan
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.3
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    • pp.933-936
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    • 2016
  • Online social network technologies have become important to health and apply in most health care areas. Particularly in cancer care, because it is a disease which involves many social aspects, online social networks can be very useful. Use of online social networks provides a suitable platform for cancer patients and families to present and share information about their medical conditions, address their educational needs, support decision making, and help to coping with their disease and improve their own outcomes. Like any other new technologies, online social networks, along with many benefits, have some negative effects such as violation of privacy and publication of incorrect information. However, if these effects are managed properly, they can empower patients to manage cancer through changing behavioral patterns and enhancing the quality of cancer patients lives This paper explains some application of online social networks in the cancer patient care process. It also covers advantages and disadvantages of related technologies.

Which is More Important in Useful Online Review? Heuristic-Systematic Model Perspective (유용한 온라인 리뷰에서 어느 것이 더 중요한가? 휴리스틱-체계적 모델 관점)

  • Chung, Hee Chung;Lee, Hyunae;Chung, Namho;Koo, Chulmo
    • Knowledge Management Research
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    • v.19 no.4
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    • pp.1-17
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    • 2018
  • Hotel consumers tend to rely on online reviews to reduce the risk to hotel products when they book hotel rooms because hotel products are high-risk products due to their intangibility. However, the development of ICT has caused information load, and it is an important issue to be perceived as useful information to consumer because a large amount of information complicates the decision making process of consumers. Drawn from Heuristic-Systematic Model(HSM), the present study explored the role of heuristic and systematic cues composing an online review influencing consumers' perception of hotel online reviews. More specifically, this study identified reviewers' identity, level of the reviewer, review star ratings, and attached hotel photo as heuristic cue, while review length, cognitive level of review and negativity in review as systematic cues. The binary logistic regression was adopted for analysis. This study found that only systematic cues of online review were found to affect the usefulness of it. Moreover, we preceded further study examining the moderating effect of seasonality in the relationships between systematic cues and usefulness.

Effects of Digital Shadow Work on Foreign Users' Emotions and Behaviors during the Use of Korean Online Shopping Sites

  • Pooja Khandagale;Joon Koh
    • Asia pacific journal of information systems
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    • v.33 no.2
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    • pp.389-417
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    • 2023
  • Social distancing required the use of doorstep delivery for nearly all purchases during the COVID-19 pandemic. Foreign users in Korea are forced to participate in superfluous tasks, leading to an increase in their anxiety and fatigue while online shopping. This study examines how digital shadow work stemming from the language barrier can affect the emotions and behaviors of foreign shoppers that use Korean shopping sites. By interviewing 37 foreign users in Korea, this draft examined their experiences, behaviors, and emotional output, classifying them into 14 codes and seven categories. Using grounded theory, we found that online shoppers' emotions, feelings, experiences, and decision making may be changed in the stages of the pre-use, use, and post-use activities. User responses regarding shadow work and related obstacles can be seen with the continue, discontinue, and optional (occasional use) of Korean online shopping sites. Pleasure and satisfaction come from high efficiency and privileges, whereas anger and disappointment come from poor self-confidence and pessimism. Furthermore, buyer behavior and product orientation are identified as intervening conditions, while the online vs. offline shopping experiences are identified as contextual conditions. In conclusion, language barriers and other factors make online shopping difficult for foreign shoppers, which negatively affects their psychological mechanisms and buying behaviors. The implications from the study findings and future research are also discussed.

A Study on Composition Factor of Online Game Community using Case Analysis of Cyworld (싸이월드의 사례 분석을 이용한 온라인 게임의 커뮤니티 구성 요소에 대한 연구)

  • Lee, Myoun-Jae;Kim, Kyoung-Nam
    • Journal of Korea Game Society
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    • v.4 no.1
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    • pp.3-13
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    • 2004
  • On today, online community that is irrespective to geometrical area and time has been appeared by information technology and development of internet. It has been significant decision method of a personal and company. And online community is variously classified by it's purpose. Among online community, online game community is be roughly classed as community in online game and community in related online game. Community in related online game community is means for interchanging informations using e-mail, bulletin board, so as on. These information contain game playing, game contents so as on. And community in online game is implemented as team, item exchange, chatting etc. Importance of community in online game and community in related online game have been increased. But online game community is not distinguished, comparing with importance of it. So, in this paper, we study on the case analysis of cyworld's community that developed characteristic community. Cyworld community is suitable for new generation and korean life style, method of adaption online game. This paper should be profitable for community in re lated online game, community company to planning, developing a characteristic community.

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Analyzing the Adoption of Online Payment using System Dynamics (시스템 다이내믹스를 이용한 온라인 지불결제 서비스 수용에 관한 분석)

  • Mu, Hong-Lei;Lee, Young-Chan
    • Journal of Industrial Convergence
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    • v.16 no.1
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    • pp.1-14
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    • 2018
  • Online retail business has provided internet-based companies with the opportunities to be connected with online customers from all over the world. However, many online customers do not complete their transactions online even if they have already choose what they want because they perceive online payment service is risky or perceive difficulty of paying online. A large body of researchers have examined the important variables that influence online payment, however, these studies can hardly predict the future development tendency after five or ten years since the environment of online market changes so fast more than ever. Therefore, the purpose of this study is to examine the importance of factors affecting online payment and to provide long term dynamic decision making model for third-party payment companies and online service providers. To serve the purpose, this study used system dynamics approach to develop a model of online payment adoption and to simulate various development paths for ten years. The analysis results show that the number of online payment customers increase continuously in ten years, and service quality, system quality, and effort expectancy are key factors for customers to pay online.

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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    • v.11 no.3
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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.