• Title, Summary, Keyword: TAM model

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Pattern Analysis of Organizational Leader Using Fuzzy TAM Network (퍼지TAM 네트워크를 이용한 조직리더의 패턴분석)

  • Park, Soo-Jeom;Hwang, Seung-Gook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.2
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    • pp.238-243
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    • 2007
  • The TAM(Topographic Attentive Mapping) network neural network model is an especially effective one for pattern analysis. It is composed of of Input layer, category layer, and output layer. Fuzzy rule, lot input and output data are acquired from it. The TAM network with three pruning rules for reducing links and nodes at the layer is called fuzzy TAM network. In this paper, we apply fuzzy TAM network to pattern analysis of leadership type for organizational leader and show its usefulness. Here, criteria of input layer and target value of output layer are the value and leadership related personality type variables of the Egogram and Enneagram, respectively.

Determinants of IT Usage : Test of the Revised TAM

  • Park, Tong-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.1
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    • pp.87-96
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    • 2002
  • This study is design ed to assess Information Technology (IT) acceptance models among Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and the revised TAM using structural equation modeling. Research results show that the revised TAM with perceived ease of use, perceived usefulness and IT usage variables is slightly outperformed TPB and TAM. From a managerial standpoint, the findings of this study reveal that in order to foster IT usage, it is important to encourage a positive perceived ease of use and usefulness.

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Factors Affecting Continuous Customer Acceptance of Internet Banking (인터넷 뱅킹의 사용자 지식, 서비스 특성, 보안요인이 지속적 고객수용에 미치는 영향)

  • Chae, Young-Il
    • The Journal of the Korea Contents Association
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    • v.11 no.6
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    • pp.372-384
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    • 2011
  • The purpose of this study is empirically analyzing the effects of external factors(user knowledge, service characteristics, security), perceived risk, trust, ease of use, and usefulness on continuous customer acceptance in Internet banking. To achieve the goal, we develop the extended Technology Acceptance Model(Ex-TAM) based in the theoretical backgrounds of the Technology Acceptance Model(TAM). To test the new model(Ex-TAM), path analysis is performed by AMOS 4.0 package as a statistical tool. The finding indicate that 4 factors(service characteristics, ease of use, usefulness, trust) are significant. However, 2 factors(security, perceived risk) are not significant, user knowledge is partly significant.

A Study on the Factors Affecting the Adoption of Cloud Computing Service:Focused on the Technology Acceptance Model(TAM) and Resistance (개인사용자 중심의 클라우드서비스의 수용에 영향을 미치는 요인에 관한 연구:기술수용모형(TAM)과 저항을 중심으로)

  • Park, Yoonseo;Kim, Yongsik
    • Journal of Information Technology Services
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    • v.12 no.4
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    • pp.1-23
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    • 2013
  • This study examines whether key characteristics of cloud computing services would affect the intention of use for personalized cloud computing services. The research model was generated based on Technology Acceptance Model (TAM) with resistance variable, and verified statistically by undertaking a survey about the perception of personal users. As the results of this analysis, we could find the structural relationship among the factors affecting adoption of the cloud computing service. We found that the expectation of ubiquity as a representative function of the cloud computing service meaningfully affected the perceived ease of use and resistance, and that the relativeness with existing services also meaningfully affected the perceived ease of use, but not the resistance. In addition, the moderating effects of use experience in the path leading from the perceived ease of use and resistance to the intention of use were identified. This study will provide diverse implications for the companies providing personalized cloud computing services.

Fuzzy TAM Network Model Using SOM (SOM을 이용한 퍼지 TAM 네트워크 모델)

  • Hong, Jung-Pyo;Hwang, Seung-Gook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.5
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    • pp.642-646
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    • 2006
  • The fuzzy TAM(Topographical Attentive Mapping) network is a supervised method of pattern analysis which is composed of input layer, category layer, and output layer. But if we don't know the target value of the pattern, the network can not be trained. In this case, the target value can be replaced by a result induced by using an unsupervised neural network as the SOM (Self-organizing Map). In this paper, we apply the results of SOM to fuzzy TAM network and show its usefulness through the case study.

A Study of Student's Smart Learning Acceptance Using TAM Model (TAM 모형을 적용한 학습자 스마트학습 수용에 관한 연구)

  • Lee, Hyun-Chang;Kim, Do-Goan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.120-122
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    • 2016
  • While smart learning have been introduced for more learning effect, this study is to understand students' smart learning acceptance using TAM model. Through using the result of the study, it is to provide suggestions for the improvement of smart learning effect and the acceptance using various multi media on thew view of students.

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A Study of Teacher's Smart Learning Acceptance -Focusing on TAM Model- (교수자의 스마트학습 수용에 관한 연구 -TAM모형을 중심으로-)

  • Kim, Do-Goan;Lee, Hyun-Chang;Rhee, Yang-Won;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.131-133
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    • 2016
  • While smart learning have been introduced for more learning effect, this study is to understand teacher's smart learning acceptance using TAM model. Through using the result of the study, it is to provide suggestions for the improvement of smart learning effect and the acceptance using various multi media on thew view of teachers.

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Inexperience and Experience with Mobile Data Services;Extended TAM

  • Kim, Byoung-Soo;Choi, Minn-Seok;Han, In-Goo
    • 한국경영정보학회:학술대회논문집
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    • pp.521-526
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    • 2007
  • This study proposed an expanded technology acceptance model (TAM) incorporating perceived fee (PFE) and perceived enjoyment into the original TAM We examined that the extended TAM provides supplementary information about behavior intentions (BI) toward mobile data services (MDS). This study also investigated some significant differences in the relative influence of the determinants of BI toward MDS depending on experience. The extended TAM was empirically evaluated by using survey data collected from 149 inexperienced users and 393 experienced users. The findings indicated that PFE is the strongest determinant of BI toward MDS, and the antecedents leading to users' BI vary over time. The results may provide further insights into MDS practitioners and marketing managers.

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An Empirical Study on the Acceptance of Knowledge Management Systems in Public Institutions : Using Technology Acceptance Model (공공기관의 지식관리시스템 수용모형에 관한 실증적 연구)

  • Jeong, Dae-Yul;Seo, Jeong-Sun
    • The Journal of Information Systems
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    • v.13 no.2
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    • pp.22-48
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    • 2004
  • Information systems that are not used cannot be useful. In order to increase user acceptance, it is necessary to understand why people accept or reject information systems. Technology Acceptance Model(TAM) is one of the most influential research models for studying determinants how users accept information systems. Recently, Knowledge Management Systems(KMS) have become important components of corporate systems as the foundation of industrialized economics has shifted from natural resources to knowledge assets. This paper applies TAM to investigate users' acceptance of KMS in public administration institutions. It sampled 182 users who had experience in using KMS. Many empirical researches have suggested that TAM can be integrated with other organizational theories to improve its predictive and explanatory ower. We extended the basic TAM by the integration of appraisal and reward satisfaction theory. There are many external variables that influence the perception and the belief of system users. We introduced two external variables(job characteristics, IT self-efficacy) and one additional perception variable, perceived appraisal and reward(PAR) in the basic TAM model. The LISREL model analysis is used for finding out the causality among variables and testing the model fitness. As result, The IT self-efficacy influences to the perceived ease of use(PEOU) and the PAR, and the PEOU influences directly to the perceived usefulness(PU), the PAR, and the attitude toward KMS. The KMS participation intention(PI) was influenced by the PAR and the attitude directly,andbythePEOUindirectly. Finally, this paper suggests some guidelines for the adoption of KMS in public sectors on the basis of the study results.

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The Effects of Subjective Norm and Social Interactivity on Usage Intention in WBC Learning Systems (웹기반 협동학습 시스템에서의 주관적 규범과 사회적 상호작용이 지속적 사용의도에 미치는 영향)

  • Lee, Dong-Hoon;Lee, Sang-Kon;Lee, Ji-Yeon
    • Journal of Information Technology Services
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    • v.7 no.4
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    • pp.21-43
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    • 2008
  • This paper develops the research model for the understanding of learner's usage intention in web based collaborative learning(WBCL) system. This model is based on the Davis' Technology Acceptance Model(TAM) and Social Interactivity Theory. Data is collected 225 University students from two different institutions. They were divided into 46 groups and asked to complete an online TOEIC preparation module using WBCL systems over 4 weeks. Data were collected at three points for each participant-before, 3 weeks after, and at the end of the online module. The result show that TAM based Belief factors(Usefulness, Ease of use, Playfulenss) are important determinants of usage intention in WBCL systems. The study also found the external factors of the extended TAM to be subjective norm, leader's enthusiasm in WBCL context.