• Title/Summary/Keyword: 탐색의도

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Exploring the Perceived Value of Generative AI and the Determinants of Continuous Use Intention (생성형 인공지능(Generative AI)에 대한 지각된 가치와 지속이용의도 결정요인 탐색)

  • Su-Ji Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.4
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    • pp.709-720
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    • 2024
  • By inputting consumer satisfaction as an exogenous variable into the value-based adoption model, this study explored the factors that influence the user's intention to continue using image-centered generative AI. Briefly presenting the main results, first, enjoyment did not significantly affect perceived value, but usefulness had a positive effect on perceived value. Second, Fee and technicality had a negative effect on perceived value. Third, perceived value had a positive effect on consumer satisfaction and continuous use intention. Fourth, consumer satisfaction had a positive effect on continuous use intention. Based on the above results, it is important to recognize the usefulness of image-centered generated AI and enjoyment in the process of use in order to increase the user's intention to continue using image-centered generated AI, and at the same time, it will be important to increase the user's perceived value and satisfaction by minimizing the reasonable fee and complexity in the method of use at the level acceptable to the users.

Towards the Virtuous Circle in Virtual Community through Knowledge Seeking and Sharing (가상공동체의 지식선순환을 위한 지식탐색과 공유에 관한 연구)

  • Kim, Jae Kyung
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.19-38
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    • 2014
  • This study focused on the role of active knowledge seeking (knowledge browsing and knowledge searching) in the context of virtual community of interest. Knowledge seeking is rarely studied as an antecedent in knowledge management (KM) research. Active knowledge seeking is considered as antecedents of sense of virtual community which mediates to knowledge sharing intention and virtual community promotion. Research hypotheses are tested by applying structure equation modeling with survey data from virtual community members in South Korea. Active knowledge seeking behavior was found to be the strong predictor of sense of virtual community, which, in turn, positively affects knowledge sharing intention and virtual community promotion. Implication to practitioners is to understand and accommodate the members' knowledge seeking efforts, who are potential contributors and promoters of the virtual community. Knowledge seeking, knowledge sharing and promoting virtual community are more of human activities than technology and this study extends the understanding of such human activities. By providing a mechanism of how knowledge seeking and sharing could work harmoniously, a virtuous circle with win-win situation could be achieved in virtual communities.

Medication Non-adherence and Related Factors of Older Adults Who Use Polypharmacy Based on Medication Adherence Model (약물 이행 모델 기반 다제약제 복용 노인의 약물 불이행과 관련 요인)

  • Jung, SuJung;Tak, Sunghee H.
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.398-406
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    • 2019
  • This study was conducted to examine the medication non-adherence and related factors based on medication adherence model of older adults that use polypharmacy. A survey was used to collect data from 190 study participants. Among the 190 subjects, 43.2% did not adhere to their polypharmacy intentionally. The reason for medication non-adherence was listed in order of 'when they felt well on symptoms', 'when it was annoying and uncomfortable', and 'when they felt worse due to medication'. Moreover, the older adults often do not seek for medication information actively. Between adherence and non-adherence groups, while there were differences in gender, type of medication, and experience in drug-related side effects, there were no statistically significant differences in medication information contents and route. This study demonstrates that gender, type of medication, and experience in drug-related side effects should be considered to promote medication adherence. In addition, since the elderly with polypharmacy are rarely actively searching for the contents and route of drug information, the contents of drug information need to be provided by the route preferred by the elderly in order to assist in their decision-making process for polypharmacy.

Exploring the Factors Affecting K-entertainment Tourism by Simultaneous Logistic Equation Modeling (외래 관광객의 공연 관람 의도의 실행에 영향을 미치는 요인 탐색 -로지스틱 회귀분석을 이용하여-)

  • Lee, Min-Jae;Kim, Jin-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.550-558
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    • 2015
  • This study investigates the degree of intention-behavior gap in the entertainment tourism. Using the sample of international visitors to South Korea, we identified the inclined actor (who are interested in the entertainment performance and actually went to the entertainment performance) and inclined abstainer (who are interested in the entertainment performance but did not go to the entertainment performance). The results of logistic regression analysis show that the sample was more accurately classified when attitude and knowledge on K-entertainment were included as explanatory variables. More findings and implications are provided.

A Path Analytic Exploration of Consumer Information Search in Online Clothing Purchases (온라인 의복구매를 위한 소비자 정보탐색의 경로분석적 탐구)

  • Kim, Eun-Young;Knight, Dee K.
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.12
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    • pp.1721-1732
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    • 2007
  • This study identified types of information source, and explored a path model for consumer information search by shopping attributes in the context of online decision making. Participants completed self-administered questionnaires during regularly scheduled classes. A total of 219 usable questionnaires were obtained from respondents who enroll at universities in the southwestern region of the United States. For data analysis, factor analysis and path model estimation were used. Consumer information source was classified into three types for online clothing purchases: Online source, Offline retail source, and Mass media. Consumers were more likely to rely on offline retail source for online clothing purchases, than other sources. In consumer information search by shopping attributes, online sources were more likely to be related to transaction-related attributes(e.g., incentive service), whereas offline retail source(e.g., displays in stores, manufacturer's catalogs and pamphlets) were more likely to be related to product and market related attributes(e.g., aesthetics, price) when purchasing clothing online. Also, the path model emphasizes the effect of shopping attributes on traditional retailer search behavior, leading to online purchase intention for clothing. This study supports consumer information search by attributes, and discusses a managerial implication of multi-channel retailing for apparel.

A Study on the Factors Affecting the Acceptance Intention for Mobile Ads. (모바일 광고의 수용의도에 영향을 미치는 요인에 관한 연구)

  • Yoo, Sang-Jin;Tang, Hung-Lian;Kim, Hyo-Jung
    • Information Systems Review
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    • v.9 no.1
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    • pp.1-21
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    • 2007
  • This research investigates the determinants of consumer's acceptance for the mobile Ads. Based on TAM(Technology Acceptance Model) and Flow theory, our research adopts some factors for a theoretical model such as entertainment, information, irritation, credibility, flow experience, attitudes and acceptance intention. For examining an implied relationships by this research model, a field study using survey methodology for data collection was conducted. This data was analyzed based on using AMOS, the structural equation modeling and a second generation multi variant technique, and has gained distinct advantages over other technique. After some model modification according to model generating strategy approach, this study shows that entertainment, irritation, credibility and flow experience have significant effects on the attitudes. And also, this attitudes have acceptance intention in mobile Ads. In conclusion, implications are discussed along with limitations and further research direction.

The Effect of the Selection Attributes of Coffee Shops on Customer Value and Revisit Intention - Focusing on College students in Busan - (커피전문점 선택속성이 고객가치와 재방문 의도에 미치는 영향에 관한 연구 - 부산 지역 대학생들을 중심으로-)

  • Lee, Jong-Ho
    • Culinary science and hospitality research
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    • v.20 no.3
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    • pp.171-185
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    • 2014
  • This research investigates the causal relationships between the selection attributes of coffee shops and customer value and revisit intention. To do this, the statistics programs SPSS 18.0 and AMOS 18.0 were used targeting 218 college students from three universities (K, D, Y) in the Busan area. Frequency analysis, explanatory factor analysis, confirmatory factor analysis, correlation analysis, and structure model analysis for hypothesis verification were conducted to analyze the data. Based on the results of exploratory factor analysis, five factors were drawn as quality of coffee, indoor environment, service, discount, and brand. Model fidelity and validity was confirmed by implementing the confirmatory factor analysis. In addition, results of structure model analysis confirmed partial relationships among the selection attributes of the college students regarding coffee shops, customer value, and revisit intention. Furthermore, a positive relationship between customer value and revisit intention was also confirmed. Thus, this research suggests that coffee shop managers should manage in a way that customers may acknowledge the value of the expenses they pay.

An Exploratory Study on Artificial Intelligence Quality, Preference and Continuous Usage Intention: A Case of Online Job Information Platform (인공지능이 적용된 온라인 구인정보 플랫폼의 품질 및 선호가 지속사용의도에 미치는 영향에 관한 탐색적 연구)

  • An, Kyung-Min;Lee, Young-Chan
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.73-87
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    • 2019
  • The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

Universal Gravity Model-Based Associate Object Weighting for User-Centric Agent Learning (사용자 중심 에이전트 학습을 위한 만유인력 모델기반 연관 객체 가중치 기법)

  • 문현정;김교정
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.88-90
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    • 2001
  • 정보여과 에이전트는 자체의 적응성(adaptability)과 자율성(autonomy)을 특징으로 사용자의 선호도와 관심을 학습하여 사용자 프로파일을 지식베이스의 일부로 구축하는 기능을 수행한다. 이러한 사용자 프로파일은 사용자의 학습의도에 맞게 지식을 탐색하고 축적하는 적응성(adaptability)을 가져야 한다. 본 논문에서는 지능적 정보여과 에이전트가 사용자의 선호도와 관심을 학습하여 적응적인 사용자 프로파일을 구축하기 위한 기법으로서, 사용자가 제시한 학습예제로써의 웹 문서들로부터 사용자의 학습의도를 내포한 질의어를 중심으로 연관 지식을 탐색하여 추출하는 웹 도큐먼트 기반 사용자 중심 연된 객체 추출과 만유인력 모델을 기반으로 한 연관 객체 관계성 가중치 기법을 제시한다.

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A conflict Detection Mechanism for Authorizations of Class Composition Hierarchies in Object-Oriented Database Systems (객체지향 데이터베이스 시스템의 클래스 복합 계층 구주에서의 권한 충돌 탐지 기법)

  • 손태종;김원영;황규영;조완섭
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10b
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    • pp.45-47
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    • 1998
  • 객체지향 데이터베이스 시스템에서 많이 연구되고 있는 묵시적 권한부여(implicit authorization) 방법은 모든 객체에 대하여 일일이 권한을 부여하는 오버헤드를 줄이기 위한 방법이다. 묵시적 권한부여 방법에서는 기존의 권한과 새로이 추가될 권한간의 충돌(conflict) 여부의 효율적인 검사가 중요하다. 기존의 데이터베이스 단위 계층 구조( database granularity hierarchy)에서의 의도형 권한부여(intention type authorization) 기법은 자신의 자손 노드에 대한 권한을 쉽게 판정할 수는 있지만, 클래스 복합 계층 구조(class composition hierarchy)상에서의 임의의 한 노드 ni에 추가로 권한을 부여할 때 ni의 자손 노드와 복합 참조(composite reference)의 관계를 가지는 노드 nj들에 대한 권한과의 충돌 여부를 탐지하기 위하여 추가로 nj들에 대한 권한을 일일이 탐색해야 하는 어려움이 있었다. 본 논문에서는 클래스 복합 계층 구조에서의 묵시적 권한부여 하에서 발생할 수 있는 권한간의 충돌을 효율적으로 탐지하는 새로운 기법을 확장하여 제안한다. 제안된 복합 계층 의도형 권한부여(intention type authorization for composition hierarchy)기법은 계층 구조에서 복합 참조의 관계를 따라 nj를 일일이 탐색할 필요 없이 노드 ni에서 바로 충돌 여부를 판정할 수 있는 장점을 가진다.