• Journal of Digital Convergence
• /
• v.15 no.4
• /
• pp.171-179
• /
• 2017

This study explored an appropriate research model that could explain and predict the spread of fintech, a new financial services in Korea. We reviewed two theoretical frameworks, theory of planned behavior(TPB) and technology acceptance model(TAM), which are frequently cited to explain human behavior and new technology adoption, respectively. Then, we proposed a decomposed theory of planned behavior(DTPB) as a research model and examined the model through PLS path modeling. As a result, every path except PEOU-ATT path in TAM is significant, and the explanatory power toward behavioral intention(R2=0.573) is also significantly greater in the proposed model. Accordingly, the proposed DTPB is appropriate to explain the spread of fintech in Korea. Finally, suggestions for the following studies are discussed.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.239-251
• /
• 2022

This study investigated the purchase intention of TikTok Live Commerce users by applying the Decomposed Theory of Planned Behavior(DTPB). This study conducted a survey of 512 users with experience in purchasing TikTok Live Commerce in China. Result of the analysis, first, it was found that attitudes, subjective norms, and perceived behavioral control all had effect on the purchase intention of TikTok live commerce. Second, it was found that perceived usefulness, interactivity, and perceived enjoyment had a positive effect on attitudes, but perceived ease did not have a statistically significant effect. The third,friend was found to have an effect on subjective norms. It was found that self-efficacy had a significant effect on perceived behavior control, but the facilitating condition did not significantly affect perceived behavior control.

• Journal of Wellness
• /
• v.6 no.3
• /
• pp.13-21
• /
• 2011

The purpose of this study was to examine the potential predictors of leisure behavior intention using the theory of planned behavior(TPB). A convenience sample of 369 participants was obtained from university students in Korea and America. For the purposes of this study, potential predictors of leisure behavior intention were selected from the following categories: attitude, subject norm, perceived behavior control, group conformity and face saving. In order to better understand the dynamics of the TPB process that influenced leisure behavior intention, this study used structural equation modeling(SEM) to test the TPB model. According to the results, attitude, subject norm, and perceived behavior control influenced to leisure behavior intention of both Korean and American university students and face saving influenced to leisure behavior intention of Korean university students. However, group conformity did not influence to leisure behavior intention of either Korean and American university students. For future study, more specific and decomposed factors are recommended to understand leisure behavior intention in theoretical way.

• Journal of Information Science Theory and Practice
• /
• v.9 no.1
• /
• pp.54-67
• /
• 2021

This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

• Journal of Information Technology and Architecture
• /
• v.10 no.2
• /
• pp.181-195
• /
• 2013

This study is to investigate into the factors that influence the use of a military logistics information system in Korean army. We developed the research model based on DTPB (Decomposed Theory of Planned Behavior) because the DTBP is an appropriate model in a mandatary using environment through the study of previous technology-acceptance models. A questionnaire survey was conducted with Korean army solders and civilian components who use the army logistics information system and 266 valid questionnaires are recovered. The collected data were analyzed by SPSS and AMOS. The results show that perceived usefulness and ease of use did not affect the attitude of the use intention. The influence of colleagues and upper class officers was all satisfactory and computer self-efficiency affected perceived control of behavior. The results of this study will contribute to the further use of the military logistics information system and future development strategy.

• The Journal of Korean Institute for Practical Engineering Education
• /
• v.2 no.1
• /
• pp.64-70
• /
• 2010

The purpose of this study is to understand students' use intentions of Web Based Collaborative Learning (WBCL) system. To meet this purpose, we developed a research model based on the Decomposed TPB. This model contains 5 influencing factors: Explicit social influence(EXSI) and Implicit social influence(IMSI), Perceived Usefulness (PU), Perceived easy of use(PEOU), Perceived Playfulness(PP). Data was collected 254 university students from two different institutions. Also, the analysis is conducted to do the hypothesis testing by using PLS 3.0. The result shows that influence factors except PEOU have a important and significant impact on user Behavior Intention(BI). Using WBCL system and learning tool, team leader(that is referent) and members can be a good interaction. For these same reasons, We found that especialy Explicit social influence(EXSI) and Implicit social influence(IMSI) are special influence factors in reference group.