• Title, Summary, Keyword: Technology Acceptance Model

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A Unified Model Combining Technology Readiness Acceptance Model and Technology Paradox Theory (기술준비도 및 수용모델과 기술패러독스 이론에 기한 소비자 만족 모델의 통합모델에 대한 연구)

  • Kim, Choon-San;Park, Sang-Bum
    • The Journal of Industrial Distribution & Business
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    • v.8 no.7
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    • pp.39-49
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    • 2017
  • Purpose - There are common factors both in Technology Readiness and Acceptance Model and Technology Paradox Theory which can be put together and made in one unified model. The unified model can provide the following merits. First, the unified model is simple but contains factors of the models. Second, the unified model can clarify the process of technology acceptance of common consumers. Third, the unified model can provide the opportunities to analyze the negative sides of new technology, thus find ways to improve the level of acceptance by general consumers. Research design, data, and methodology - The 450 questionnaires were handed out to people around Seoul and 421 were collected. Except insincere and wrong-marked ones, 402 were used to analyze. SPSS program was used to analyze. Factor analysis, regression analysis was conducted to test the hypotheses. Results - By analyzing sub-factors of both models and binding the common factors in one category, we accomplish one model. And we tested the model by empirical method. The results show that the results from the unified model are almost same as the results from the two models. In other words, the unified model works. Conclusions - Explaining one state of affair by two different method is in some sense distracting attention. By devising a new model including factors of both models, we can explain the affair more straightforward and efficiently. At first the technology acceptance model was devised to explain the technology users in an organization and the following tests and revised models were for the similar purposes. However, as on-lone activities including contracts have been expanded and become important, consumers as the technology uses have emerged as first factor to consider. In accordance models to explain this situation has been suggested. The model suggested in this research is one of the models but it has the following merits. That is, it is simple but has strong explanation power, it can clarify the process of technology acceptance of common consumers by containing negative sides of consumer conception, and thus, it can provide the opportunities to analyze the negative sides of new technology, also find ways to improve the level of acceptance by general consumers.

Effect on Acceptance Intentions to Service Quality factors of Social TV : Focus on Technology Acceptance Model (소셜TV 서비스품질 요인이 수용의도에 미치는 영향 : 기술수용모형(TAM)을 중심으로)

  • Kwon, Dosoon;Hwang, Changyu;Hong, Soongeun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.3
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    • pp.201-218
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    • 2015
  • The purpose of this study is to verify a causal relationship between social tv services and intended acceptance of social tv service through the SERVQUAL five dimensions which mean generally assessment of superior user. Also I am going to analyze that how factors of intended acceptance of social tv service effect on intended acceptance through perceived usefulness and perceived ease of use based on Technology Acceptance Model which provides theoretical basis for behavior response of information technology. This study is significant that social tv combine the five dimensions of service quality that mean assessment of overall excellent or superior user and Technology Acceptance Model that provides theoretical basis for describing an behavior response of information technology.

The Impact of User Perception on Usage Intention : Focusing on the Moderating Role of Attitude of Acceptance and Resistance (기술제품에 대한 사용자 지각이 사용의도에 미치는 영향 : 수용적 태도와 저항의 매개적 역할을 중심으로)

  • Kim, Hyun-Kyung
    • Journal of Information Technology Applications and Management
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    • v.16 no.2
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    • pp.65-77
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    • 2009
  • This study explores the major factors that are likely to affect the acceptance and resistance of innovative products and services. The TAM (Technology Acceptance Model) has been widely used for understanding consumer acceptance of new technology. This model displays perceived usefulness and perceived ease of use as antecedents of intention to adopt and use. However, research has reported a variety of preceding variables for technology acceptance. In addition, considering paradoxes of technology, research regarding both acceptance and resistance in an integrated model can explain consumer perception and behavior in detail. The results of this study states that relative benefits, degree of innovation in technology, perceived usefulness and perceived ease of use have had positive influence on the intention to adopt but negative impact on that of resistance. However, alterations of usage and perceived risk positively affects resistance, but also have negative effects on the intention to adopt. Finally, intention to adopt has comparatively greater influence than that of resistance on intention to use. Theoretical and managerial implications of the results are also discussed.

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An Empirical Study of Individual Factors Affecting the u-Commerce Adoption : An Application of Technology Acceptance Model (개인의 특성변수에 기초한 u-Commerce 수용요인 실증분석: 기술수용모형의 적용)

  • Nah, Sun-Young;Hwang, Ha-Jin;Kang, Min-Seuk
    • The Journal of Information Systems
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    • v.15 no.4
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    • pp.73-98
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    • 2006
  • The purpose of this study was to verify and analyze the factors that influence the acceptance intention of u-Commerce users under ubiquitous computing environments. To accomplish this, the Technology Acceptance Model(TAM) of Davis(1989), which has widely been cited in new technologies such as information technology(IT) and information systems(IS) studies was used to develop the research model. First of all, personal characteristics affecting the acceptance intention of u-Commerce were identified as individual variables through literature review. Utilizing the use of the individual variables and the TAM model, the u-Commerce acceptance intention model was established. The research findings indicated that IT acceptance forms and frequencies in IT use did not have a significant impact on perceived usefulness and perceived ease of use of u-Commerce. It was also found that the perceived usefulness proposed in the u-Commerce acceptance model influenced the perceived usefulness. Both ease of use and usefulness were identified to influence attitude for use. Finally, usefulness and attitude for use also positively influenced acceptance intention. The contribution of this study was the examination of the factors affecting acceptance intention of users in u-Commerce and the verification of the usefulness of the TAM model in describing the acceptance of u-Commerce users using structure acceptance model. Furthermore, this study has empirically analyzed how personal characteristics widely used in the study of acceptance of IT can influence the acceptance of u-Commerce.

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Consumer Acceptance Model of Smart Clothing according to Innovation

  • Chae, Jin-Mie
    • International Journal of Human Ecology
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    • v.10 no.1
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    • pp.23-33
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    • 2009
  • This study identified the appropriateness of acceptance models of smart clothing and differences in the hypothesis of the path to clothing acceptance by classifying consumers depending on the level of technology innovation and fashion innovation through the extended TAM (Technology Acceptance Model) presented by Chae (2009). 815 copies of data were collected from adults over twenty living in major South Korean cities and analyzed them using a SPSS 15.0 and AMOS 5.0 package. Based on the average value of technology innovation and fashion innovation, the respondents were classified into: Group 1 with high technology innovation and fashion innovation, Group 2 with high technology innovation but low fashion innovation, Group 3 with low technology innovation but high fashion innovation, and Group 4 with low technology innovation and fashion innovation. The appropriateness of models for the four classified groups was verified. The analysis proved that an extended TAM for each classified group explains the acceptance process of smart clothing; especially the appropriateness of model of Group 1 and Group 4 was comparatively higher than other groups. Perceived usefulness was revealed as the key variable that affects consumer attitudes to accept smart clothing. Perceived ease of use has indirect positive effects on consumer attitudes passing through perceived usefulness and clothing involvement partly exerted impacts on consumer attitudes and the intention of acceptance. The mediating role of attitudes to explain the intention of the acceptance of smart clothing is high and suggests that it is necessary to take a positive role to help the consumer perceive the functional and useful aspects of the clothing.

Analysis of Factors Affecting the Perception of Smart Farm by Employees of Korea Rural Community Corperation (농어촌공사 임직원의 스마트 팜 인식에 미치는 요인 분석)

  • Jeong, Ki-Seok;Eom, Seong-Jun;Rhee, Shin-Ho
    • Journal of Korean Society of Rural Planning
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    • v.26 no.3
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    • pp.115-126
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    • 2020
  • This study designed an extended technology acceptance model incorporating and combining TPB, TAM, UTAUT, and IDT, which are known to be useful in explaining technology acceptance intention, to analyze antecedents affecting smart farm acceptance intention from the perspective of policy handlers. In the model of this study, nine independent variables were set, including subjective norm, perceived behavioral control, attitude, perceived usefulness, performance expectation, effort expectation, social impact, promotion condition, and fitness. The effect of these variables on farm acceptance intention was analyzed. The study found that four factors, including perceived behavioral control, perceived usefulness, social impact, and fitness, had positive effects on the acceptance intention of smart farms. Of these, perceived usefulness had the highest impact. In conclusion, all the TPB, TAM, UTAUT, and IDT applied to the research hypothesis to explain the smart farm acceptance intention included on or more variables with significant effects. In other words, these theories were evaluated as useful to explain the acceptance intention of smart farms.

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.

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 Study on the TAM (Technology Acceptance Model) in Involuntary IT Usage Environment (비자발적 IT 사용 환경에서의 기술 수용모델(TAM)에 관한 연구)

  • Moon, Hyung-Do;Kim, Jun-Woo
    • Journal of Digital Convergence
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    • v.7 no.3
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    • pp.13-24
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    • 2009
  • Technology Acceptance Model (TAM) has been a basis model for testing technology use. Post researches of TAM have been conducted with the updating the TAM by adding new independent variables in order to increase the explanatory power of the model. However, the problem is that different independent variables have to be required to keep the explanatory power whenever adopting particular technology. This might reduce the generality of the research model. Thus in order to increase the generality of the model, this study reviewed the previous researches and collected the independent variables used, and regrouped them into three basic independent constructs. New research model was designed with three basic independent constructs with three constructs selected for the involuntary information technology usage environment. Finally, this study concluded that new technology acceptance model could be used to explain the use of new technology without any adding new particular independent variables.

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A Study on the Acceptance Intention and Usage Behavior of Blockchain Technology : From the Perspective of Unified Theory of Acceptance and Use of Technology (통합기술수용이론 관점에서 블록체인기술의 사용자 수용과 이용 행동에 관한 연구)

  • Kim, Byung-Gon;Lee, Byeong-Gil;Yoon, Il-Ki
    • Journal of Information Technology Applications and Management
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    • v.27 no.3
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    • pp.1-18
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    • 2020
  • Recently, following the development of FinTech technology that combines finance and information and communication technology, the need and social demands for a block chain technology-based trading system have increased significantly. In this study, a research model was developed and hypothesized through literature research on the concept of block chain technology, the technology acceptance model, and the unified theory of acceptance and use of technology. The research theories were tested by collecting data through surveys and analyzing the collected data. This study conducted empirical research to identify the factors influencing the user acceptance intention and utilization behavior of the block chain technology in introducing the block chain technology. First, factors affecting the acceptance intention of the blockchain user were performance expectation, effort expectation, social impact, and blockchain transparency variables. Second, the facilitation conditions and stakeholder confidence variables were analyzed as factors that did not affect the acceptability of the blockchain users. Third, variables such as blockchain transparency, stakeholder trust and intention of acceptance are factors that affect the usage behavior of the blockchain. Fourth, it was confirmed that the acceptance intention had a very high explanatory power on usage behavior of Blockchain technology.