• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.215-226
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• 2015

In this research, The impact factor based on previous studies was composed of attitudes, subjective norms, and executive organization. The purpose of this study was to analyze how these factors have affected on the behavior intention and the behavior the parking regulatory policy using The theory of reasoned action. In addition, The effect of moderate variable(residence, housing type) to be verified. Conducted a survey of the area that was subjected to the parking regulatory policy, and the survey result was analyzed. After verifying the hypothesis using structural equation modeling, Two factors (Attitude, subjective norm) were found to be on the positive effect on the behavior intention and Two factors (Attitude, executive organization) were found to be on the positive effect on the behavior. As a result of verifying the effect of moderate variable(residence, housing type), The residence variable showed a significant moderating effect on the relationship between attitudes and behavior and the housing type variable turned out a significant moderating effect on the relationship between enforcement agency and behavior. On the basis of this analysis, presented a practical way for regulatory compliance or Non compliance on the parking regulatory policy.

• Journal of Korean Society of Transportation
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• v.30 no.6
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• pp.13-26
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• 2012

In this study, factors influencing the parking policy compliance (i.e. levying a garage option on car buyers) were identified, and then, were applied to the theory of planned behavior. To find out the influence of factors and their path, the study built a parking policy compliance model using structural equation modeling. The independent variables such as attitude, subjective norm, perceived behavioral control had positive effects on the parameter describing the efforts to secure his garage, but the parameter impact on the dependent variable was not significant. In the end, the independent variables affected the dependent variable was not significant. The perceived behavioral control utilizing regulations had positive effects on the parking policy compliance behavior, but past behavior such as street parking and prowling to find a free parking space had a negative effect on parking policy compliance behavior.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.294-302
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• 2007

멀티 에이전트 강화학습에서 중요한 이슈 중의 하나는 자신의 성능에 영향을 미칠 수 있는 다른 에이전트들이 존재하는 동적 환경에서 어떻게 최적의 행동 정책을 학습하느냐 하는 것이다. 멀티 에이전트 강화 학습을 위한 기존 연구들은 대부분 단일 에이전트 강화 학습기법들을 큰 변화 없이 그대로 적용하거나 비록 다른 에이전트에 관한 별도의 모델을 이용하더라도 현실적이지 못한 가정들을 요구한다. 본 논문에서는 상대 에이전트에 대한RBFN기반의 행동 정책 모델을 소개한 뒤, 이것을 이용한 강화 학습 방법을 설명한다. 본 논문에서는 제안하는 멀티 에이전트 강화학습 방법은 기존의 멀티 에이전트 강화 학습 연구들과는 달리 상대 에이전트의 Q 평가 함수 모델이 아니라 RBFN 기반의 행동 정책 모델을 학습한다. 또한, 표현력은 풍부하나 학습에 시간과 노력이 많이 요구되는 유한 상태 오토마타나 마코프 체인과 같은 행동 정책 모델들에 비해 비교적 간단한 형태의 행동 정책 모델을 이용함으로써 학습의 효율성을 높였다. 본 논문에서는 대표적이 절대적 멀티 에이전트 환경인 고양이와 쥐 게임을 소개한 뒤, 이 게임을 테스트 베드 삼아 실험들을 전개함으로써 제안하는 RBFN 기반의 정책 모델의 효과를 분석해본다.

• Convergence Security Journal
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• v.22 no.1
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• pp.113-120
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• 2022

Despite the limitations of existing security policies due to technological development, companies are unable to actively respond to changes by maintaining a closed security policy. This study classified information security policy into three types: regulatory type policy, advisory type policy, and informative type policy. For each classified policy type, the effect on the information security policy compliance behavior of organizational members was investigated by applying the extended theory of planned behavior, and the moderating effect of information security stress was investigated. SmartPLS 2.0 and SPSS 21.0, which are structural equation modeling techniques, were used to analyze the relationship affecting each factor. As a result of the study, regulatory type, advisory type, and informative type security policies affected organizational members' information security policy compliance behavior, and security stress had an effect on information security compliance attitudes and subjective norms on information security, which are prerequisites for planned behavior theory. gave. This study suggests that various types of corporate information security policies can be applied and that security stress can affect information security behaviors of members.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.169-176
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• 2020

With widespread use of information technologies the importance of information security has been heightened. Security policies which deal with fundamental direction of information security are critical elements of information security management. Numerous studies have been conducted on users' intention to comply security policies. They were based on various theoretical foundations and the theory of planned behavior(TPB) was the most frequently used. This research employed one of the quantitatively synthesizing meta-analytic techniques called Two-Stage Structural Equation Modeling to investigate factors influencing information security policy compliance behavior based on TPB. Analysis results indicated that all three factors of TPB were significantly influencing the behavioral intention. Moreover, the overall fit indices of structural model exhibited satisfactory level.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.209-220
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• 2016

Although organizations are providing information security policy, education and support to guide their employees in security policy compliance, accidents by non-compliance is still a never ending problem to organizations. This study investigates the factors that influence employees' information security policy compliance behavior using elements of Triandis model. We analyzed the relationships among Triandis model's factors using PLS(Partial Least Squares). The result of the hypothesis tests shows that organization can induce individual's information security policy compliance intention and behavior by information security policy and facilitating conditions that support it, and proves the importance of members' expected value, habit and affect about information security compliance. This study is significant in a way that it applies Triandis model in the field of information security, and presents direction for members' information security behavior, and will be able to provide measures to establish organization's information security policy and increase members' compliance behavior.

• Journal of Korea Port Economic Association
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• v.30 no.1
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• pp.97-118
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• 2014

Recent accidents of customer information leakage increase the necessity of information security for organization and the importance of information security team for it. To strengthen information security, organizations make information security policy and ask the members to comply with it. In this regard, maritime organization also needs to structure information security policy and examine its ability and behavior. The purpose of this study is to analyze the effects of compliance with information security policy on the ability and behavior of workers in shipping and port organization. The results of investigation show that information security education and norm affect compliance with information security of the workers. On the contrary, the punishment of information security is insignificant. It is shown that the degree of compliance with information security significantly affects its ability and behavior of the workers in shipping and port organization.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.165-177
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• 2008

An important issue in Multiagent reinforcement learning is how an agent should learn its optimal policy in a dynamic environment where there exist other agents able to influence its own performance. Most previous works for Multiagent reinforcement learning tend to apply single-agent reinforcement learning techniques without any extensions or require some unrealistic assumptions even though they use explicit models of other agents. In this paper, a Naive Bayesian based policy model of the opponent agent is introduced and then the Multiagent reinforcement learning method using this model is explained. Unlike previous works, the proposed Multiagent reinforcement learning method utilizes the Naive Bayesian based policy model, not the Q function model of the opponent agent. Moreover, this learning method can improve learning efficiency by using a simpler one than other richer but time-consuming policy models such as Finite State Machines(FSM) and Markov chains. In this paper, the Cat and Mouse game is introduced as an adversarial Multiagent environment. And then effectiveness of the proposed Naive Bayesian based policy model is analyzed through experiments using this game as test-bed.

• Information Systems Review
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• v.17 no.3
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• pp.65-76
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• 2015

This paper examines the influence of neutralization techniques and voluntary actions on intention to comply information security policy. Data were collected through an online survey and hypothesis results were all hypotheses were supported. The results of this study improve understanding on the voluntary nature of employee behavior for participating in the organization's policies and the rationalization of the employees trying weakening the organization's policy intentions. The organization shoud implement specific education and training in order to suppress the rationalization of employees and develop a plan to have a kinship with the employees of the organization.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.133-144
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• 2015

In digital convergence environment, information security management plays crucial role in maintaining firms' competitiveness. Organizational citizenship behavior(OCB) enables informations security countermeasures to be more effectively worked by helping employees to have much knowledge of information security policy, by facilitating employees to participate in information security education/training. Thus, the purpose of this study is to investigate the mediating effect of OCB on the relationships between information security countermeasures and compliance intention. Questionary was designed based on prior information security research, and survey was conducted among companies' employees across the industry. Results showed that information security policy and information security education/training were found to be key predictors of compliance intention. In addition, OCB was proven to mediate the relationships between information security countermeasures and compliance intention.