• Asia pacific journal of information systems
• /
• v.26 no.2
• /
• pp.231-246
• /
• 2016

Technology acceptance model has demonstrated that technology adoption behavior can be explained by two user belief constructs: perceived usefulness and perceived ease of use. A number of studies have explored how these beliefs develop by utilizing primarily individual-level antecedents. However, because innovation and new techniques bear a direct relation to social concerns, non-individual antecedents may be necessary. Therefore, in this study, social and organizational supports are used to understand how software developers foster beliefs regarding secure coding practices. We compiled data from 83 software developers to evaluate the technology acceptance model. Our findings show that these collective antecedents can effectively explain user belief constructs and the intention to adopt secure coding methodologies. These findings imply that society and organizations offering more concrete support programs will experience smoother deployment of security-enhancing measures.

• Journal of Digital Convergence
• /
• v.9 no.1
• /
• pp.37-49
• /
• 2011

The purpose of this study is to develop a new equipment acceptance model in the industrial market and test it empirically using a field survey. To define new equipment acceptance factors of employees in the organization, we used the TAM as a useful model to analyze the acceptance process of new equipment. All of the data for the TAM were collected from the employees. Prior research studied the usage of general information technology using a computer and particular software, while we apply the TAM to the new equipment adoption. In this study, both theoretical review and empirical study were conducted and the model was set through the theoretical study which was tested through the empirical analysis. Management support and training/education were shown to have a positive effect on PU and PEOU. Personal innovativeness, management support, perceived usefulness and perceived ease of use were shown to have a positive effect on behavioral intention.

• Journal of Information Technology Applications and Management
• /
• v.20 no.3
• /
• pp.93-104
• /
• 2013

A 3D CAD is one of latest innovations in apparel industry. Despite a rapid progress of related technologies and an emergence of several commercial products in markets, an adoption of 3D CAD tools in apparel industry is much slower than originally expected. In an effort to diffuse such a technological advance in apparel industry, more behavioral studies of why and how apparel designers adopt and use a 3D CAD are needed. Toward that goal, this study aims to identify more about whether such an adoption decision would be more associated with organizations or individuals. Using TAM and TOE framework, the study findings show that the intention to adopt 3D garment CAD is more explained by individual attitudes rather than organizational characteristics.

• Journal of Information Technology Applications and Management
• /
• v.17 no.2
• /
• pp.133-154
• /
• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• International Journal of Contents
• /
• v.14 no.3
• /
• pp.32-38
• /
• 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.

• Journal of Information Technology Applications and Management
• /
• v.20 no.1
• /
• pp.149-171
• /
• 2013

The purpose of this study is to investigate factors influencing Chinese consumers' intention to adopt Smartphones. This paper examines Smartphone characteristics factors (situational dependence, diversity and security) and consumer personality characteristics (innovation, self-efficacy and familarity) based on the Technology Acceptance Model. The 320 sets of data are tested against the model using SEM (structural equation model). The research results reveal that diversity and security have significant influences on both perceived usefulness and perceived playfulness. According to the data analysis, self-efficacy affects only perceived easy of use, and familiarity positively affects perceived easy of use, usefulness and playfulness. This study finds that perceived easy of use and perceived usefulness have positive influences on behavioral intention to adopt Smartphones, and situational dependence and innovation directly affect the behavioral intention. The perceived cost has a negative impact on the behavioral intention. Research results are discussed, and limitations of the current study and future research are presented.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.31 no.4
• /
• pp.45-55
• /
• 2023

This paper calls attention to the central problem of the influence of identifying the determinants of airport duty-free store customers perceived innovativeness, pursuit benefits and value-congruency on the behavioral intention. The data is completed with 307 adults with purchasing experience of airport duty-free store O2O integration service which brings sufficient convenience to consumers. The content analysis results show that the influence factors of innovation characteristics, consumer pursuit benefits and value-congruency affect the behavioral intention in various aspects. The result suggests that we should upgrade the innovate functionality and improve the service quality based on consumer needs. Finally, this study discusses implications for theory and practice, indicates limitations, and concludes with some suggestions for future research.

• Asia pacific journal of information systems
• /
• v.32 no.2
• /
• pp.354-380
• /
• 2022

This study proposed a novel model to investigate influential factors affecting the intention to continue using increasingly popular food delivery apps (FDAs). The proposed theoretical model is developed and validated to extend traditional technology acceptance and adoption theories by identifying several determinant factors that capture the unique context of FDAs continuous usage. Hypotheses were tested using a partial least square structural equation modeling approach (PLS-SEM) on data collected from 331 actual FDAs users during the COVID-19 pandemic. The results reveal that convenience, perceived compatibility, delivery experience, and online reviews significantly influence the continuous usage of FDAs. The findings also confirm the importance of continuous intention on the actual use of FDAs. The research model of this study explains 65% of variance in continuous intention and 47% in actual use. The insights provided by this study suggest fruitful directions for future research. They can also help FDAs companies, developers and marketers with strategies and tips for further development and growth by ensuring users' continuous usage of these platforms.

• The Journal of Information Systems
• /
• v.13 no.1
• /
• pp.97-119
• /
• 2004

Recently, many e-business companies started to charge fees to the use of information contents service. However, little is known about how users evaluate and determine to purchase information services. Past technology adoption research has focused primarily on the positive utility gains side, focusing on usefulness and ease of use. Purchase of e-service, however, involves not only the position utilities but also negative utilities. This research uses the service value model(SVM) and explains user's intention of purchasing a new information service. Based on the Perceived Value Framework, this research investigates the impacts of the service quality and the fee charge on the user's perceived service value and further on user's intention of adopting the e-service. One of the most important postulations of this research is that both service quality and the fee charge influence user's intention through affecting the user's perceived service value. This research presences a conceptual model of users' e-service evaluation process. The conceptual framework provides a basis for understanding how perceptions of quality and sacrifice influence value perceptions and purchase intentions. The results of an empirical research suggest that the both service quality and fee charge have influences on the perceived service value. However, they do not directly affect user's intention to purchase the e-service. They affect user's intention to purchase through affecting the perceived service value. In conclusion, this research provides a base to build on for other research studying use intention model of new e-service.

• Journal of Digital Convergence
• /
• v.10 no.5
• /
• pp.7-17
• /
• 2012

This paper identifies the determinants of adoption and diffusion of e-government services, and examines the causal relationship among the variables of adoption behavior. The main findings, based upon survey responses from service users, are as follows: first, both the value of service and the socially influencing factor have the positive effect to the intention of utilizing services. Second, the socially influencing factor has the indirect effect to the intention of utilizing services, because it positively affects the value of service. The interaction factors, however, do not directly affect the intention of utilizing services. These interaction factors indirectly affect the intention of utilizing services through the path which increases the value of service, and its effect is larger than the socially influencing factor.