• Title/Summary/Keyword: TAM model

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An Integrative Approach for Strengthening Continual Adoption of e-Government Services : An Empirical Study (전자정부 서비스의 지속적 수용 강화를 위한 통합적 접근 : 실증연구)

  • Lim, Se Hun
    • Journal of Information Technology Applications and Management
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    • v.20 no.1
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    • pp.19-41
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    • 2013
  • This study analyzed the users acceptance of e-Government services. Many IT(Information Technology) adoption studies appeared the TAM(technology adoption model) of Davis[1989] as a theoretical background. The TAM composed of three factors those are the perceived easy of use, the perceived usefulness, and intention to adoption of IT. However, TAM did not explain the consequences of intention to adoption and antecedents of the ease of use and usefulness in IT adoption. To overcome limitations of TAM, many technology acceptance studies done. In this study, the researcher suggested the IT acceptance model for explaining users adoption of e-Government service based on the model of IT acceptance of Wixom and Todd[2005]. The model of Wixom and Todd[2005] based on the TAM of Davis[1989], IT adoption model of Taylor and Todd[1995] and, IS(Information Systems) success model of Delone and Mclean[1992, 2003]. For testing our research model, the researcher collected data from 200 users of e-Government services. The researcher analyzed in measurement model and structural model using statistical software. This study analyzed relationships among interaction, information quality, Web systems quality, satisfaction, ease of use, usefulness, and attitude to explain and predict influences of the users acceptance of e-Government services. The results of this study will provide useful information about develop a strategy for usage spread of e-Government services.

A Simulation Study of IT Diffusion by Using System Dynamics (시스템 다이내믹스를 활용한 정보 기술 수용에 대한 동태적 모형 개발 - 휴대 전화 사용을 중심으로 -)

  • Han, Sang-Jun;Lee, Sang-Gun
    • CRM연구
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    • v.1 no.1
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    • pp.49-69
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    • 2006
  • Previous studies, Technology Acceptance Model (TAM) and Post Acceptance Model (PAM) have a little limitation in time series analysis. To solve this limitation, we used system dynamics as research methodology and designed simulation model based on TAM and PAM. Moreover, we designed new simulation model which can analyize time series data in customers' demand change from initial acceptance to post acceptance. This study targeted domestic mobile phone market. The simulation results showed that diffusion graph was similar to real data. That means we validated our simulation model. Since the simulation model offers the graph of customer's demand change by time, so it can be useful as a leaning tool. Therefore, we think this study helps IT companies use the model for forecasting of market demand.

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Hepatoprotective Effect of Green Tea (Camellia sinensis) Extract against Tamoxifen-induced Liver Injury in Rats

  • El-Beshbishy, Hesham A.
    • BMB Reports
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    • v.38 no.5
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    • pp.563-570
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    • 2005
  • Tamoxifen citrate (TAM), is widely used for treatment of breast cancer. It showed a degree of hepatic carcinogenesis. The purpose of this study was to elucidate the antioxidant capacity of green tea (Camellia sinensis) extract (GTE) against TAM-induced liver injury. A model of liver injury in female rats was done by intraperitoneal injection of TAM in a dose of $45\;mg\;Kg^{-1}\;day^{-1}$, i.p. for 7 successive days. GTE in the concentration of 1.5%, was orally administered 4 days prior and 14 days after TAM-intoxication as a sole source of drinking water. The antioxidant flavonoid; epicatechin (a component of green tea) was not detectable in liver and blood of rats in either normal control or TAM-intoxicated group, however, TAM intoxication resulted in a significant decrease of its level in liver homogenate of tamoxifen-intoxicated rats. The model of TAM-intoxication elicited significant declines in the antioxidant enzymes (glutathione-S-transferase,glutathione peroxidase, superoxide dismutase and catalase) and reduced glutathione concomitant with significant elevations transaminase) levels. The oral administration of 1.5% GTE to TAM-intoxicated rats, produced significant increments in the antioxidant enzymes and reduced glutathione concomitant with significant decrements in TBARS and liver transaminases levels. The data obtained from this study speculated that 1.5% GTE has the capacity to scavenge free radical and can protect against oxidative stress induced by TAM intoxication. Supplementation of GTE could be useful in alleviating tamoxifen-induced liver injury in rats.

An Empirical Study on Electronic-Store Acceptance: A Case of e-Book Store (전자상점 수용모형에 관한 실증적 연구: 전자서점의 사례를 중심으로)

  • Yoon, Cheol-Ho;Kim, Sang-Hoon
    • Asia pacific journal of information systems
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    • v.14 no.1
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    • pp.165-184
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    • 2004
  • This paper focused on developing and empirically testing an EAM(Electronic-Store Acceptance Model), By basing upon Davis' TAM(Technology Acceptance Model) and reflecting the characteristics of EC(Electronic Commerce), the EAM was proposed. This EAM could be regarded as a revised and extended TAM in the EC area. The theoretical rationale of this model was as following: 1) Though Davis' TAM was proposed a powerful tool to explain and predict usage of Information Technology, nowadays, TAM variables(perceived usefulness and ease of use) are posited as key drivers of e-commerce acceptance. 2) In the e-commerce and e-business studies, trust has been emerging as a potentially important antecedent of IT adoption. A famous internet book store was chosen to empirically test the EAM. In order to evaluate reliability and validity of instrument, and validate the research model, SEM(Structured equation model) analysis was conducted. The results showed that perceived usefulness and trust significantly influenced e-Store Acceptance but perceived ease of use did not have significant influence on e-Store Acceptance.

A Study on TAM(Technology Acceptance Model) for Individualized Virtual Community (개인형 커뮤니티에 대한 기술수용 모델 적용에 관한 연구)

  • Moon, Hyoung-Do;Kim, Jun-Woo;Kim, Yon-Soo
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.31 no.1
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    • pp.11-20
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    • 2008
  • The purpose of this study is to identify the factors determining users' acceptance of individualized virtual community. While there has been considerable research on the Technology Acceptance Model (TAM) that has predicted whether individuals will accept and voluntarily use information systems, limitations of the TAM include the omission of an important characteristics of individual construct in the context of individualized community. Based on literature relating to the theory of reasoned action (TRA), the theory of planned behavior (TPB) and the TAM, this study extends the applicability of the TAM in a individualized community context, by adding characteristics of individual-based construct ("subjective norm", "self-efficacy", "self-presentation" and "sharing information to exchange various information") to the model. Analysis was conducted on using the structural equation modeling approach. The result supports the extended TAM in predicting users' intentions to using personalized community. Several implications for IT/IS acceptance research and individualized community service management practices are discussed.

Extended TAM including Organizational Culture as an External Variable (조직문화변수를 포함한 확장된 인터넷수용모형 - 중소기업 조직원을 중심으로 -)

  • 장원경;김태균
    • Journal of Information Technology Applications and Management
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    • v.11 no.2
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    • pp.149-166
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    • 2004
  • In the wake of Fishbein and Ajzen's the Theory of Reasoned Action (TRA), Davis (1989) proposed a Technology Acceptance Model (TAM) to account for how perceived ease of use, perceived usefulness, and attitude predict behavioral intention to use Information Systems (IS). However, TAM is incomplete in one important respect: it does not account for social influence In the acceptance and utilization of new information systems. This study investigated the relationships between organizational tasks and intention to use internet using TAM. For using internet, social network is an important factor because the natural characteristic of internet is community-based. The results showed that Organizational Culture (OC) plays an important role in explaining intention to use the internet. Using O'Reilly et al. 's measurements, we extended and empirically validated the proposed model using Structured Equation Modeling (SEM). These findings enable future researchers and practitioners to apply the OC variable in the various contextual domains.

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An Integrated Study concerning Antecedent Variables affecting the intention-to-use of on-line shopping malls: An Extended Model of TAM2 (온라인 쇼핑몰의 사용 의도에 영향을 미치는 선행변수에 관한 통합연구: 기술수용모델(TAM)2의 확장 모델)

  • Park, Kwan-Hee
    • The Journal of Information Systems
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    • v.15 no.4
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    • pp.55-72
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    • 2006
  • The total market capacities of our domestic on-line shopping malls had reached over one billion wons in 2005. They are also estimated to reach 1.8 billion wons in 2008. In order to reveal some relationships between six antecedent variables and intention-to-use of online shooing malls, this study has extended the original TAM2 model using these variables obtained from (1) perceived usefulness and perceived ease of use from TAM2 model, (2) compatibility from IDT theory, (3) perceived enjoyment from Flow theory, and (4) others (perceived risk and self efficacy). Two statistical packages such as SPSS 12.0 and Lirel 8.70 were used for data analyses. Among these seven proposed hypotheses, six hypotheses were accepted while one hypothesis regarding perceived risk was rejected. As perceived risk hypothesis concerning the intention-to-use was rejected, the perceived risk did not show the support of the intention-to-use.

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Development of Classification Model Using Neural Network (신경회로망을 이용한 분류모형 개발)

  • Park, Kwang-Bak;Park, Young-Man;Hwang, Seung-Gook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.5
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    • pp.638-641
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    • 2008
  • In this paper, a model to classify the method using the fuzzy TAM with preprocessing of data was developed. The preprocessing method can be divide the problem using the characteristics in the case of category type factor. In case of continuous type factor, if there was exist factor's range which is not overlapping by class, the data belong to the range was fixed and eliminated in classification. After these preprocessing of data, classified operation of Fuzzy TAM is performed.

Instructor's Smart Learning Acceptance : Focusing on TAM Model (교수자의 스마트학습 수용 : TAM 모형을 중심으로)

  • Kim, Do-Goan;Lee, Hyun-Chang;Rhee, Yang-Won;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1081-1086
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    • 2016
  • While smart learning have been introduced for more learning effect, this study is to understand instructor's smart learning acceptance using technology acceptance model(TAM). This study developed the extended TAM model, including external pressure for smart learning and smart self efficacy for smart devices as study variables and attempted to examine the research model through the empirical analysis. The research model has the 7 variables including smart self-efficacy and external pressure. For the empirical study, the survey was conducted for the one month, March, 2016, and the total 143 data among the collected 167 responses were used for the empirical analysis. As the result of the analysis through the structural equation model, the 9 paths among the total 10 paths show the significant relationships between the variables. Through using the result of this study, it is to provide suggestions for the improvement of smart learning environments.

Combined Model of Technology Acceptance and Innovation Diffusion Theory for Adoption of Smartwatch

  • Choe, Min-Ji;Noh, Ghee-Young
    • International Journal of Contents
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    • v.14 no.3
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    • pp.32-38
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    • 2018
  • This study examined the factors influencing the intention to use smartwatches using the integrated model of technology acceptance model (TAM) and innovation diffusion theory (IDT). An online survey was conducted and the data were analyzed using the structural equation modeling (SEM). The results showed that the research model had an acceptable fit, and all paths, except for the one from the perceived ease of use to the intention to use, were supported. Regarding paths from IDT to TAM, it was observed that higher the compatibility, the users perceived greater usefulness. Additionally, both observability and trialability influenced the perceived ease of use. However, perceived ease of use affected the intention only through the mediated effect of perceived usefulness. The implication of the study lies on the major focus on the effects of users' perceptions regarding innovative characteristics of smartwatches on the intention to adopt and attempted to increase the explanatory power of the TAM and IDT by combining both.