• Title/Summary/Keyword: User's Attitude

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The Effect of eWOM Information Characteristics and Brand Community Experience Value on Brand Trust, Conversion

  • HAN, Sang-Seol
    • The Journal of Industrial Distribution & Business
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    • v.13 no.4
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    • pp.35-49
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    • 2022
  • Purpose - According to the recently changing consumer smart environment and consumer decision-making process, this study investigates the structural relationship between electronic(online) WOM information characteristics and brand community experience value types on specific brand reliability and brand transformation. In particular, the characteristics of word of mouth information and the experience value of brand community users were divided into detailed fac tors and approached. Methodology - In order to proceed with this study, we review previous studies and setting hypotheses. The hypothesis was verified through a survey that was conducted for the consumers with online consumption activities in less than six months. With reference to previous studies, operational definition was made for the questionnaire design. In order to verify the hypothesis, 282 people were statistically analyzed through the survey This data were used for AMOS for confirm hypothesis established. Results - eWOM information characteristics were classified into usefulness, timeliness and un-bias, and online community experience values were classified into interaction, playfulness, and virtuality. In addition, it is to investigate the relationship between the brand reliability and user's experience value in brad community. The main results are as follows. The first result was that usefulness and un-bias, which are the eWOM information characteristics had a positive effect on forming brand reliability. However, the factor of timeliness did not affect brand reliability. Second, in terms of user experience value and brand reliability in the brand community. It was fo und that experience values such as interaction, playfulness, and vituality all had a positive influence on brand reliability. Third, it was found that brand reliability has a positive influence on the on-line conversion activity of users. Conclusions - Through this study, the field of online consumer behavior research is expanding, and this study suggested that careful management is necessary according to the type or characteristics of eWOM information. Additionally, it presents the importance of the user's empirical value in the brand community influencing brand attitude and reliability. In practice, the implementation of the marketing communication mix in digital marketing has recently been underway to enhance the conversion behavior of users. At this level, it also reveals the preceding factors that increase user conversion behavior.

The Effect of P2E-type Virtual Farm Experience on the Attitude and Recommendation Intention of Potential Farmers : Focusing on the Information System Success Model (P2E형 가상 농장 영농체험이 잠재 영농인의 태도와 추천의도에 미치는 영향 연구: 정보시스템성공모델 중심으로)

  • Bae, Sujin;Oh, Hyunjoo;Lee, Younglae;Kwon, Ohbyung
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.680-691
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    • 2022
  • Virtual farm is a kind of virtual reality for education and training, which realizes a change in attitude toward farming and aims for economic performance through revisiting the virtual farm. With the recent introduction of P2E-type virtual reality, a way to connect virtual farming experiences with practical benefits is being considered. However, few studies have been conducted on the factors that influence the success of virtual farms. Hence, the purpose of this study is to examine whether the quality of virtual farm contents and system quality affect user satisfaction with virtual farm experience based on the DeLone & McLean's IS Success Model. In addition, we will examine whether satisfaction with the virtual farm significantly contributes to the change in attitude toward farming. In addition, we demonstrate whether digital incentives contribute to the activation of P2E-type virtual farms.

A Study on the Customer Attitudes toward the Airport IT Service: Focusing on Handling Process and Acceptance Intention

  • PARK, Hye-Yoon
    • Journal of Distribution Science
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    • v.18 no.1
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    • pp.27-34
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    • 2020
  • Purpose : In the aviation industry, we will investigate the impact of users' acceptance of technology on their usage behavior and find out the factors that affect their acceptance of technology. We will expand the prior study to find out the impact of the self-service technology of Incheon Airport. Research design, data and methodology : Within the last six months, the survey was conducted on people using self-service technology at Incheon International Airport from July to August 2019. Part 307 of the valid questionnaires were used for this final analysis. The collected data were used to perform frequency, factor, reliability, and multiple regression analyses using the SPSS statistical package. Results : Individual aspects of external variables, service aspects and system aspects have been shown to affect usefulness and perceived ease of use. Also, perceived ease-of-use and usefulness have effects on users' intention to accept technology. Conclusions : The perceived easement and perceived usefulness of Incheon International Airport has been shown to affect self-service users. Increasing the user's self-efficiency and increasing the user's expectations for benefits, convenience, rapid processing, and minimal effort will have a positive meaningful effect on the intention of accepting the technology.

A Grounded Theory Approach on the User‘s Experience with Consulting the Internet for Health Problems (건강문제 해결을 위한 인터넷 사용에 관한 근거이론 연구 - 30대 성인 소비자를 대상으로 -)

  • Lee, Sook-Kyung
    • Journal of Korean Academy of Nursing Administration
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    • v.15 no.2
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    • pp.244-254
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    • 2009
  • Purpose: This research was conducted to explore the experience of using Internet to solve health problems and to develope a grounded theory. Method: There were 15 subjects in their 30s who had experience using Internet to solve health problems for themselves and their families. Results: 114 concepts, 31 subcategories, and 9 categories were derived from the analysis by using approaches by Strauss & Corbin. Central phenomenon was "Primary healthcare information" and the core category was "Selecting ways to solve health problems". The participants' experiences were conceptualized into two perspectives: reliability of the information and tendency of preference among the sites. Conclusion: All of the processes found on Internet that solved health problems required the assistance of a health professional such as a nurse. It was judged that there are some differences in the degree of usage regarding health-related information, which was primarily in accordance with the confidence and attitude of the user with respect to Internet information. We presented a strategy that could operate with professionals and nonprofessionals. Therefore, we can be satisfied by the fact that this study suggests a complimentary nursing strategy to the healthcare on Internet.

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Predicting User Acceptance of Strong AI using Extension of Theory of Planned Behavior: Focused on the Age Group of 20s (확장된 계획적 행동이론을 통해 본 강한 인공지능 제품에 대한 이용자의 수용의도: 20대 연령층을 중심으로)

  • Rhee, Chang Seop;Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.284-293
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    • 2020
  • The rapid progress of AI technology gives us the expectation to solutions to various problems in our society, and at the same time, it gives us anxiety about the side effects that can occur if AI develops beyond human control. This study was conducted in the early 20s with less objection to advanced devices. We attempted to provide clues to understand thoughts and attitudes of the targets about the future environment that will be brought by AI through the process of finding intent the acceptance of strong AI technology. For this, we applied the Theory of Planned Behavior, and further expanded this research model to identify factors affecting the attitude toward AI. As a result, the attitude toward AI and perceived behavioral control had a significant effect on the intention to use to strong AI. In addition, we found that the expectation of the benefit of improving task performance and the anxiety on the threat of relationship disturbance had a significant effect on the attitude toward AI. This study suggests implications for AI-related companies establishing the direction of technology development and for government setting a policy direction for AI adoption.

Technology Acceptance Model with Web Interactivity (웹의 상호작용 특성을 반영한 정보기술수용모형)

  • Chang, Hwal-Sik;Kim, Jong-Ki;Oh, Chang-Gyu
    • Asia pacific journal of information systems
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    • v.12 no.4
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    • pp.55-75
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    • 2002
  • The purposes of this study are in threefold; to explain the interactivity in web site, to extend the Technology Acceptance Model(TAM) in the WWW context, and to examine its relationship with the existing TAM components. We proposed that the WWW is not just web systems but interactive spaces for virtual community. Web interactivity is represented by the two constructs: system interactivity and social interactivity. We extended and empirically examined the TAM for the web context. An individual's attitude toward the use of the web site is significantly affected by the individual's perception about ease of use, usefulness, and system interactivity. At the same time, behavioral intentions to use the web site is highly related to the social interactivity. The results showed that the system interactivity and social interactivity of a web site are important factors in affecting the user's beliefs and behavior intention of such a web site, So web page providers not only have to make the web site useful and easy to use, but also need to design an interactive web page by putting both systemic aspects and social aspects.

A study on Consumer's Reaction to User Context Characteristics in AR Advertisement (모바일 증강현실 광고의 맥락특성에 따른 수용자 반응)

  • Cho, Yong-Jae
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.84-92
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    • 2015
  • Advertisement market using the augmented reality has been rapidly increasing recently due to integration with LBS(location based services). This study was conducted to examine the effect and acceptance intention of mobile augmented reality advertisement through TAM(Technology Acceptance Model). 'Contextual feature,' which is a characteristic of augmented reality advertisement, was selected as an outside effective variable, and perceived usefulness and perceived ease of use, which are the core variables of TAM, and attitude of advertisement and advertisement acceptance intention were selected as important evidences of Technology Acceptance Process. Also, the relationship between each evidences were investigated. As a result of the investigation of the outside influence on the acceptance model of augmented reality advertisement, it was shown that the contextual feature of augmented reality advertisement had meaningful influence on perceived usefulness and perceived ease of use, and it was also shown that it has positive influence on the attitude of advertisement and acceptance intention of advertisement.

Propensity Analysis of Political Attitude of Twitter Users by Extracting Sentiment from Timeline (타임라인의 감정추출을 통한 트위터 사용자의 정치적 성향 분석)

  • Kim, Sukjoong;Hwang, Byung-Yeon
    • Journal of Korea Multimedia Society
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    • v.17 no.1
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    • pp.43-51
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    • 2014
  • Social Network Service has the sufficient potential can be widely and effectively used for various fields of society because of convenient accessibility and definite user opinion. Above all Twitter has characteristics of simple and open network formation between users and remarkable real-time diffusion. However, real analysis is accompanied by many difficulties because of semantic analysis in 140-characters, the limitation of Korea natural language processing and the technical problem of Twitter is own restriction. This thesis paid its attention to human's political attitudes showing permanence and assumed that if applying it to the analytic design, it would contribute to the increase of precision and showed it through the experiment. As a result of experiment with Tweet corpus gathered during the election of national assemblymen on 11st April 2012, it could be known to be considerably similar compared to actual election result. The precision of 75.4% and recall of 34.8% was shown in case of individual Tweet analysis. On the other hand, the performance improvement of approximately 8% and 5% was shown in by-timeline political attitude analysis of user.

An Integrated Perspective of User Evaluating Personalized Recommender Systems : Performance-Driven or User-Centric (개인화 추천시스템의 사용자 평가에 대한 통합적 접근 : 시스템 성과와 사용자 태도를 기반으로)

  • Choi, Jae-Won;Lee, Hong-Joo
    • The Journal of Society for e-Business Studies
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    • v.17 no.3
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    • pp.85-103
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    • 2012
  • This study focused on user evaluation for personalized recommender systems with the integrated view of performance of the system and user attitude of recommender systems. Since users' evaluations of recommender systems can be affected by recommendation outcomes and presentation methods, both system performances based on outcomes and user attitudes formed by the presentation methods should be considered when explaining users' evaluations. However, an integrated view of system performance and user attitudes has not been applied to explain users' evaluation of recommender systems. Thus, the goal of this study is to explain users' evaluations of recommender systems under the integrated view of predictive features and explanation features at the same time. Our findings suggest that social presence, both accuracy and noveltyhave impacts onuser satisfaction for recommender systems. Especially, predictive features including accuracy and novelty affected user satisfaction. Novelty as well as accuracy is one of the significant factors for user satisfaction while recommender systems provided usual items users have experienced when systems provide serendipitous items. Likewise, explanation features with social presence and self-reference were important for user evaluation of personalized recommender systems. For explanation features, while social presence appears as one of important factors to user satisfaction of evaluating personalized recommendations, self-reference has no significant effect on user's satisfaction for recommender systems when compared to the result of social presence. Self-referencing messages did not affect user satisfaction but the levels of self-referencing are different between low and high groups in the experiment.

The effects of attitude toward characters, social interaction, competition, physical activity, and attention switching on user's attachment to a mobile augmented reality game (캐릭터에 대한 태도, 대인 교류, 경쟁심, 신체 활동과 주의 전환이 모바일 증강 현실 게임 사용자의 애착에 미치는 영향)

  • Lee, Gyu-Dong
    • Journal of the Korea Convergence Society
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    • v.11 no.4
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    • pp.143-149
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    • 2020
  • Many users enjoy a location-based augmented reality game such as Pokémon GO. From the perspective of attachment, this paper investigated the antecedents of Pokémon GO use. A total of 182 responses from Pokemon Go users was collected through an online survey. The result of regression analysis showed that attitude toward game characters, social interaction, competition, and physical activity increased attachment to game. Attention switching, however, decreased attachment to the game. This study suggested that attachment to mobile augmented games could be achieved through social interaction, competition, and physical activity. Implications for researchers and practitioners were discussed.