• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.173-189
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• 2005

The technology acceptance model (TAM) is a lot of cited in information technology adoption and usage researches. TAM has a base in psychological research, is parsimonious, explains usage behavior quite well, and can be operationalized with valid and reliable instruments. But TAM has been conducted primarily in volitional environments of the adoption of new technology. This paper discusses technology acceptance in accounting information systems to examine TAM with subjective norm and perceived behavioral control in mandated using environments. The results show that in mandatory environments such as accounting information systems, subjective norm is not a significant effect on the behavioral intention. Perceived usefulness and perceived behavioral control are significant the factor on the behavioral intention. The implications of finding are that perceived usefulness and perceived behavioral control play major role in technology acceptance rather than subjective norm in accounting information systems with mandatory environments.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.143-150
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• 2019

In recent years, interest in internet primary bank has increased in South Korea, and marketing strategies for the success of the bank are needed. The purpose of this study is to analyze the effect of bank choice attributes on satisfaction and behavioral intention of Internet primary bank users. A convenience sampling was used and a structural equation of AMOS 20.0 was used for hypothesis testing. The results of the study are as follows. First, information, transaction, and communication of the choice attributes have positive effects on satisfaction. Second, information, transaction, and communication of the choice attributes have positive effects on behavioral intention. Third, satisfaction has a positive effect on behavioral intention. The theoretical and practical implications and limitations of the research are presented in the conclusion.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.178-182
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• 2002

For action selection as well as teaming, simple associations between stimulus and response have been employed in most of literatures. But, for successful task accomplishment, it is required that artificial life system can team and express behavioral sequences. In this paper, we propose a novel action-selection-mechanism to deal with behavioral sequences. For this, we define behavioral motivation as a primitive node for action selection, and then hierarchically construct a tree with behavioral motivations. The vertical path of the tree represents behavioral sequences. Here, such a tree for our proposed ASM can be newly generated and/or updated, whenever a new behavioral sequence is learned. To show the validity of our proposed ASM, three 2-D grid world simulations will be illustrated.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.73-82
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• 2022

As digital advertising industry grows, consumers' concerns over personal information protect also rise. Thus, the current study is designed to explore college students' perspectives on digital behavioral advertising and personal information protection through in-depth interviews. According to study results, importance of personal information protection is highly regarded among college students and interviewees suggest individuals, companies, and government organizations work together to protect personal information. College students' behavioral level of personal information protection can be divided into three levels such as 1) no-action taken, 2) passive response, and 3) active response. The study found that college students' attitude toward digital behavioral advertising is positive and also negative at the same time. Lastly, the study suggests that college students have positive attitude toward companies' personal information collection and use for the marketing purpose such as digital behavioral advertising. At the discussion section this study puts emphasis on the need for digital media literacy education and suggests practical implications for personal information collection and its procedures.

• Journal of Distribution Science
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• v.20 no.8
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• pp.47-57
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• 2022

Purpose: The purpose of this study is to find out whether it has a significant effect or not, the 5 hypotheses proposed include the Attitude toward behavior variable on behavioral intention, Subjective norm on behavioral intention, Perceived behavioral control on behavioral intention, Behavioral intention on behavior and Perceived behavioral control on Behavior. Research design, data and methodology: The data processing method in this study uses the SEM method based on Partial Least Squares (PLS), The study was conducted on 100 respondents as a sample. Results: Based on the results of data analysis, it is concluded that from the 5 hypotheses proposed, only 2 have a significant effect, namely the subjective norm variable has a significant effect, on behavioral intention and the perceived behavioral control variable has a significant effect on behavior while the other 3 hypotheses have no significant effect. The results of this study are expected to help the public to make decisions in utilizing the distribution of facebook marketplace. Conclusion: This study concludes that the distribution of the use of the Facebook marketplace is a subjective norm variable has a positive effect on the behavioral intention variable and the perceived behavioral control variable has a positive effect on the behavior variable.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.155-174
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• 2012

As Online Behavioral Advertising is dramatically growing with usefulness of information and user convenience in recent years, there are privacy issues caused by collecting user's behavioral information without their consent. To tackle the problem, the need of Do Not Track regulations is getting much higher. In Korea, however, it has never existed. So, this study is examining the case of the major countries have been enforcing the law and regulations of DNT. After that, it is classified with four domain (law/regulation, corporation, individual, society) to include all stakeholders of OBA. Furthermore, this study may have academic significance by suggesting DNT framework through analysis of them. Providing DNT mechanism consisted of three type (behavioral information, control, DNT system), it can be useful guidelines for companies to support decision making as introduced DNT. As analyzed between DNT and stakeholders based on the study of OBA market, it will be useful basic material of OBA study later.

• The Journal of Information Systems
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• v.17 no.1
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• pp.23-43
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• 2008

Nowadays, openness and accessibility of information systems increase security threats from inside and outside of organization. Appropriate password is supposed to bring out security effects such as preventing misuses and banning illegal users. This study emphasizes on choosing passwords from perspective of information security and investigated user's security awareness affecting behavioral intention. The research model proposed in this study includes user's security belief which is influenced by risk awareness factors such as information assets, threats and vulnerability elements. The risk awareness factors ale derived from risk analysis methodologies for information security. User's risk awareness is a factor influencing the security belief, attitude toward security behavior, and security behavioral intention. According to the result of this study, while vulnerability is not related to the risk awareness, information assets and threats are related to the user's risk awareness. There is a significant relationship between risk awareness and security belief. Also, user's security behavioral intention is significantly affected by security attitude.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.39-51
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• 2019

As data grows rapidly, the provision of appropriate information needed by individuals has become an area of new services, and customized services which is enabling the analysis of optimal services through collecting, storing, and analyzing personal data are emerging in many fields. However, due to the characteristics of customized services based on various information collected by customers during the use of the service, the problem of privacy infringement is raised at the same time, and many studies are being actively conducted to solve this problem. This study seeks to explore how the customer's in-depth and customized services has an impact on their customers, which has not been derived from quantitative research using the grounded theory methodology. Through this, 84 concepts, 33 subcategories, 13 Categories and paradigm models were derived. In addition, 'Understanding and acceptance of online behavioral advertising (OBA)' was derived as a core category, and finally, acceptance types of OBA were classified into 'positive acceptance type', 'indifferent type', 'calculating type', and 'active resistance type' based on the key categories. This study divides the acceptance types of online behavioral advertising through the emotions and behaviors of the consumers throughout the procedure of online behavioral advertising experiences. In addition to the statistical and quantitative information currently used for providing behavioral advertising, it provides new criteria to reflect the refinement of behavioral advertising and personal tendencies or characteristics.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.231-234
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• 2002

A transceiver for ADSL systems contains an interpolated combfilter, halfband filters, oversampling sigma delta modulator, a current steering DAC and an analog filler. The circuit complexity of the architecture makes it necessary to use behavioral models to determine the system features. For this reason, we need a specific behavioral simulation environment using the Matlab program. The Matlab is crucial for these circuits to be rapidly incorporated in larger systems, in particular in the context of mixed-signal-test schemes. Design trade-off among the blocks has also been discussed. The design methodology is based on behavioral design and CMOS process.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.757-766
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• 2009

This study presents an adaptive hypermedia learning system which can provide individual learning environment using a learner behavioral model. This system proposes a LBML which can manage learners' learning behavioral information by tracking down such information real-time. The system consists of a collecting system of learning behavioral information and an adaptive learning support system. The collecting system of learning behavioral information uses Web 2.0 technologies and collects learners' learning behavioral information real-time based on a SCORM CMI data model. The collected information is stored as LBML instances of individual learners based on a LBML schema. With the adaptive learning support system, a rule-based learning supporting module and an interactive learning supporting module are developed by analysing LBML instances.