• 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.

• 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.

• International Commerce and Information Review
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• v.8 no.4
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• pp.3-22
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• 2006

Recently, the use of digital contents and demand have been increased with expanding users of internet. Thus, the importance of digital contents distribution site's has been increased that deal in commercially. The model that measuring acceptance of web sites is studying lively, however, the web sites that dealing and distributing specific goods to be called digital contents have insufficient theoretical base and model about acceptance of customers. Also, the research that acceptance of existing commercial web sites have limitation to explain systematically which influence on acceptance of digital contents distribution sites. Because, those research connect directly the feature of web sites, the purchase of web sites or the feature of buyers and acceptance. For that reason, it's hard to reflect the feature of digital contents. In this research, to measure customers' acceptance of web sites that distribute digital image, it is based on Technology Acceptance Model by Davis. This research find out the significant cause from survey by users of digital image distribution site. and TAM which has been adapted the analyzation of new site's acceptance can explain the state of digital image distribution site use. This research let us know the evaluation of digital image distribution site and operating strategy as a new business model.

• 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 Journal of Information Systems
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• v.28 no.3
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• pp.59-81
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• 2019

Purpose The purpose of this study is to investigate the resistance factors interfering the acceptance factors of the mobile easy remittance service focusing on the switching cost and the innovation resistance model. Design/methodology/approach This study focuses on revealing the resistance factors of the mobile easy remittance service acceptance. The resistance factor is designed consisting both consumer characteristics and service characteristics in the Innovation Resistance Model. Furthermore, the effect of resistance factors on the innovation resistance and acceptance intentions were detected by moderating the switching cost. Findings According to the empirical analysis result, this study investigated the effect of resistance factors on innovation resistance and acceptance intention for the mobile easy remittance service. The results of this study as follows; (1) The consumer's inherent innovativeness did not significantly affect the innovation resistance and acceptance intention. (2) The attitude toward existing services and complexity significantly affected innovation resistance in direct manner, thus affecting the acceptance intention in indirect manner. (3) The perceived usefulness significantly affected both the innovation resistance and the acceptance intention in direct manner. (4) The perceived risk only effected the acceptance intention. (5) The switching cost had a moderating effect on the innovation resistance and acceptance intention.

• 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.

• 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.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.21-35
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• 2021

In this study, in order to find out how the quality factors of information system affected the technology acceptance model and user intention, the importance of IT security which had been recently emerged by including the security in the system, information and service is considered as the factors of information system quality. To verify how the information system quality affected the technology acceptance model and user intention, the study was conducted with expanded information system by classifying the technology acceptance model with perceived usefulness and perceived ease of use and classifying user intention with acceptance and utilization whether user had only acceptance intention or both acceptance and utilization intentions. The study results are as follows. First, the hypothesis that quality factors of information system affected the technology acceptance model significantly was partially adopted. Second, the hypothesis that the technology acceptance model affected user intention significantly was adopted.

• Journal of information and communication convergence engineering
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• v.22 no.1
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• pp.23-32
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• 2024

This study aims to improve the quality of distance learning by developing webcast-based e-learning media and integrating it into an e-learning platform for functional job training purposes at the National Research and Innovation Agency, Indonesia. This study uses a Technology Acceptance Model (TAM) to assess and predict user perceptions of information systems using webcast platforms as an alternative to conventional applications. The research method was an online survey using Google Forms. Data collected from 136 respondents involved in practical job training were analyzed using structural equation modeling to test the technology acceptance model. The results showed that the proposed model effectively explained the variables associated with the adoption of web-based e-learning during the COVID-19 pandemic in Indonesia for participants engaged in functional job training. These findings suggest that users' perceptions of ease of use, usefulness, benefits, attitudes, intentions, and webcast usage significantly contribute to the acceptance and use of a more effective and efficient webcast-based e-learning platform.

• International Journal of Highway Engineering
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• v.18 no.5
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• pp.95-103
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• 2016

PURPOSES : Permitted left turn is a turning maneuver in which a vehicle turns left using a gap between oncoming vehicles, called gap acceptance, and it enables for more efficient traffic operation at intersections. In Korea, the permitted left turn has not been a common maneuver at signalized or un-signalized intersections. However, many experts and the Police Agency tried to apply this effective turning maneuver at intersections in Korea since 2010. Though the investigation of gap acceptance is significantly important in understanding a driver's behavior at intersections, there have not been many studies about this topic, specifically a study to develop probability models of gap acceptance behavior. METHODS : In this study, the probability model of gap acceptance behavior for a permitted left turn was developed based on observational field studies. To develop the model, seven variables were analyzed including gap, waiting time, traffic volume, conflict-flow vehicle type, left-turning vehicle type, the number of lane, and time. RESULTS : In the final model, gap and left-turning vehicle type were found to be significant influencing factors. CONCLUSIONS : Through this model development, it was concluded that as the gap size increased, the probability of gap acceptance was higher. Moreover, when a left-turning vehicle was a passenger car, the probability of gap acceptance was higher than compared to large size buses or freight cars.