• 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.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.53
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• pp.233-264
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• 2012

This study proposes and verifies an integrated model that reflects and helps to explain complexities and comprehensiveness of e-Trade in practice. The primary objective was to widen and deepen our understanding about the phenomena of paperless trading which will enable us to formulate an effective means to promote the adoption and utilization of e-Trade infrastructure. This investigation combined and extended the theories and models of TAM, TOE framework, and TTF in order to identify and hypothesize the causal relationships between factors of technology, organization and environment, and the usage level and performance of e-Trade. The previous research on e-Trade was reviewed and incorporated into the extended model. The integrated model was tested based on the survey data collected from a sample of 417 trading firms. Overall, the regression and path analysis demonstrated the usefulness of the proposed model as a conceptual framework for better understanding and explanation of e-Trade. The result of the analysis implies the relevancy of the factors of technology, organization and environment for facilitating usage of and increasing performance of e-Trade. However, rejection of a few hypothesized relationships implies the necessity of extensive promotion and education about the related laws and regulations, and education, supervision and incentives for e-Trade practitioners.

• 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.

• Asian Journal for Public Opinion Research
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• v.7 no.3
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• pp.143-168
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• 2019

With much attention being paid to the rapid growth of wrist-worn smart devices, this study aimed to examine the micro-processes that determine an individual's adoption of smart bands and smartwatches. Primarily relying on the theoretical background of the extended technology acceptance model (TAM II), this study explored relationships between three groups of predictors-social, personal, and device-oriented-and the three main components of the original TAM: perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI). Results from the path analysis indicated multiple factors played significant roles in increasing the PU, PEOU, and BI of wristworn smart devices: subjective norms, social image, self-efficacy, perceived service diversity, and perceived reasonable cost. The main findings from this research contribute to significantly improving the understanding of the main factors leading people to adopt wrist-worn smart devices.

• Journal of Information Technology Applications and Management
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• v.26 no.5
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• pp.1-12
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• 2019

This study conducted an empirical study on factors affecting the continuous use of mobile payment for users. Based on Technology Acceptance Model (TAM) and Extended Expectation-Confirmation Model of lS Continuance (ECM-ISC), we set up the model and hypothesis by adding habit and utilization range as independent variables. We received 426 valid questionnaires from users who have used continuously mobile payments such as Alipay and Wechatpay in China. The collected data was analyzed by SPSS for validity, reliability, factor analysis, T-test and regression analysis. The result shows that perceived usefulness, perceived risk, habits and utilization range have positive effects on users who use AliPay. Users who use Wechatpay have been affected by perceived usefulness, perceived use of ease, habit and application scope. However, the social influence does not affect both.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1652-1662
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• 2013

As smart devices like smartphones and smart pads are prevalent recently, dramatic changes so called 'smart evolution' deployed in many socioeconomic areas. These changes lead the TV industry to develop a smart TV differentiated from a conventional TV by enabling internet connectivity and applications execution. In this study the factors affecting the acceptance of a smart TV are extracted by reviewing the previous works and the structural relationships among these factors are analyzed. Adding 'Social Influence' to consider an environmental factor and 'Innovativeness' for personal characteristics, we build an extended Technology Acceptance Model and analyzed the structural relationships among the factors in the model using Structural Equation Model. In the results we can find that the environmental factors affect the perceived characteristics. The moderating effects of gender and level of experience in smart devices have also been investigated. No difference is found between gender groups. In much-experienced group, Innovativeness affects Perceived Usefulness and acceptance of a smart TV. In less-experienced group, however, Innovativeness affects Perceived Ease of Use, Expected Enjoyment and finally acceptance of a smart TV.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.265-275
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• 2011

The purpose of this study was to identify the factors that determined the adoption of digital textbook among elementary and middle school teachers, and to propose and validate a revised Technology Acceptance Model. The study was grounded in the innovation diffusion theory and the attribute factors proposed in the theory were used in the model. More specifically, observability, compatibility, and subjective norms were proposed as external factors and usefulness, easy of use, intention to use were proposed as internal factors in the proposed model. It was found that (a) observability, compatibility, and subjective norms were the main external factors that influenced the teachers' intention to use digital textbook and (b) the revised TAM was validated.

• Journal of Agricultural Extension & Community Development
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• v.30 no.1
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• pp.15-29
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• 2023

Recently, there has been increasing interest in renewable energy in the agricultural sector. Agrophotovoltaics, producing electricity while farming, has attracted much attention. This study aims to identify the factors influencing the acceptance intention of Agrophotovoltaics. Using the UTAUT2 model, we designed a research model to examine the impact of performance expectancy, effort expectancy, facilitating conditions, social influence, and investment utility on the intention to adopt Agrophotovoltaics through the mediation effect of the user's innovativeness. We conducted a survey on farmers and obtained 212 responses for the final analysis. The results showed that effort expectancy and innovativeness significantly positively affected the intention to adopt Agrophotovoltaics. Furthermore, innovativeness was found to fully mediate the relationship among performance expectancy, facilitating conditions, investment utility, and acceptance intention. This suggests that focusing supportive measures on innovative groups could promote the adoption of Agrophotovoltaics.

• Journal of Korean Society of 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.

• The Journal of Information Systems
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• v.15 no.2
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• pp.49-75
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• 2006

The main purpose of this study is to identify the factors affecting personnel e-Learning acceptance. We used self-efficacy and perceived playfulness as independent variables to extended Technology Acceptance Model in an e-Learning contort. Perceived playfulness is the one of the important personal intrinsic motivational factors which could enlarge the understanding process of technology acceptance in the personal perspective. Questionnaires were collected from 94 respondents who experienced e-Learning systems that L Corporation provided. This study developed and empirically tested a model representing the relationship by using Structural Equation Model among factors which are: perceived usefulness, perceived ease of use, perceived playfulness, self-efficacy and attitudes. Also we measured affective and cognitive attitude because, most psychometric literature explain attitude has two different dimensions which are affective and cognitive. The major findings of the study are summarized as follows. Firstly, the higher the perceived usefulness the more affected the behavioral intention was to use as well as attitude to be positive. Secondly, as much as perceived playfulness more affected the perceived ease of use as well as self-efficacy. Finally, the perceived ease of use and self-efficacy are not significantly affected attitude while they are affected perceived usefulness and perceived playfulness.