• Title/Summary/Keyword: illegal behavior

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Empirical Study on Variables Affecting Consumer Ethics Related to Fashion (패션 소비윤리에 영향을 미치는 변인에 관한 연구)

  • Lee, Seung-Hee;Noh, You-Na
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.1 s.160
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    • pp.141-150
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    • 2007
  • The purpose of this study was to examine variables affecting fashion consumer ethics. 202 consumers living in Seoul and its suburb participated in this study. Data were analyzed by using descriptive statistics, factor analysis and multiple regression for this study. As the results, consumer ethics was classified into three factors such as 'Purposely illegal behavior', 'Tacitly illegal behavior' and 'Socialized illegal behavior' factors. Second, regarding ethics judgement, machiavellianism only had affected consumer ethics. Results showed that 'Tacitly illegal behavior' and 'Socialized illegal behavior' of consumer ethics affected consumer ethics on Fashion Products. Finally, results of multiple regression revealed that psychological factors such as compensatory purchasing, materialism and propensity of religion accounted for 19% of the explained variance in fashion consumer ethics. Based on these results, a fashion educational program about consumer ethics related to fashion industry would be suggested.

An Economic Analysis of the Enforcement of illegal Fishing in Traditional Fisheries Management (전통적 어업관리의 불법어업 감시·감독에 대한 경제학적 분석)

  • LEE, Sang-Go
    • Journal of Fisheries and Marine Sciences Education
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    • v.14 no.1
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    • pp.57-73
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    • 2002
  • Illegal fishing is often cited as a principal cause of the failure of fisheries management, expecially fishing efforts regulations in traditional fisheries management. Usually, illegal fishing problems are perceived to be equivalent to inadequate enforcement, and policy prescription then follow to strengthen enforcement programs. The purpose of this paper is to analyze the illegal fishing behavior relatively recent emphasis on fishing efforts regulations in traditional fisheries management. The analysis focuses on measuring, explaining and developing the effectiveness way of enforcement strategies responding to imperfectly managed fishing efforts regulations through illegal fishing behavior and avoid enforcement fishing efforts measures. A model of fishermen fishing behavior and profit-maximizing decision making is analyzed to determine optimal fishing at individual fisherman level in response to fishing efforts regulation. The results of economic analysis of the enforcement of illegal fishing in traditional fisheries management results are as follows: First, illegal fishing will occur only if enforcement effort is not so high as to remove the incentive to do so, and if the effectiveness of avoidance is not too great, nor its cost too low. Second, avoidance effort will occur at a level jointly proportional to the extent of illegal activity and of enforcement; for given levels of the latter, the desired avoidance effort increase with its effectiveness and decrease with its cost Third, to improve the effectiveness of enforcement, understanding avoidance behavior appears to be crucial to any efforts. Forth, enforcement and fishermen behavior interact depends strongly on characteristics of avoidance, specifically its cost and effectiveness. When avoidance is neither too cheap nor too effective, the interaction is regular. Fifth, in this case, at low levels of enforcement, fishers respond to increases in enforcement by increasing avoidance, but at higher enforcement levels, it becomes uneconomical to continue to do so, and avoidance decreases with enforcement. Sixth, illegal fishing activity decreases steadily with enforcement, so the fishery manager is able, in theory, to reduce illegal fishing toward zero by increasing enforcement. If, however, avoidance is very inexpensive and/or very efficient/ then the optimal level of avoidance will increase indefinitely with increasing enforcement. Finally, less fishery enforcement is required if fishermen have less incentive to overfish, and fishermen have less incentive to avoid fishery enforcement measures.

A Study of the Impacting Factors on Sharing Illegal Digital Contents and Copyright Cognition (불법 디지털콘텐츠 공유의도에 영향을 미치는 요인과 저작권인식에 관한 연구)

  • Shen, Hong Yan;Lim, Gyoo Gun
    • Journal of Information Technology Applications and Management
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    • v.25 no.2
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    • pp.23-40
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    • 2018
  • In order to reduce the spread of illegal digital contents, many studies have been focusing on how to stop it through laws and regulations. Only few of the studies tried to explain the illegal behaviors from individual's viewpoints. This paper aims to examine the intention of sharing illegal digital contents over the Internet and proposes a theoretical model based on the Theory of Planned Behavior (TPB) along with the introduction of two outcome expectations. We also argue that the individuals' cognition of online copyright will influence individuals' illegal contents sharing on the Internet. We have collected data from online survey and offline interview. By empirical study, the results support the theoretical model except the subjective norm which has no effect on individuals' behavior. This is a different finding from the previous researches revealing that the subjective norm has no effect on individuals' unethical actions. Overall, the findings provide strong confirmation that attitude, self-efficacy and outcome expectations impact on individual's intention of sharing illegal contents. In addition, this study proposed an improved cognition of online copyright through education and standard of new media management will reduce illegal contents sharing on Internet.

A Social Cultural Approach to Illegal Digital Contents Sharing (디지털콘텐츠 불법 파일공유에 관한 사회문화적 접근)

  • Park, Kyung Ja
    • Knowledge Management Research
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    • v.17 no.1
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    • pp.113-133
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    • 2016
  • Why illegal digital contents sharing happens? This study pays attention to the fact that file sharing is an exchanging behavior between people and it is expanding despite of an illegal behavior and proposes that it is necessary for the phenomenon to be understood from social cultural point of view beyond a personal dimension. Based on the social exchange theory, this study demonstrates effects of file sharing attitudes and continuity, regarding 'group norm', 'popular demand', 'reciprocity' and 'social solidarity' as main factors. The main findings of this study are as followed;- First, it is shown that a tacit agreement of a group on file sharing is a determinant of positive attitude to file sharing and the intent of continual file sharing. Second, it is not found that the social relationship factors that are regarded as potential influential factors on file sharing attitude have effects on file sharing behavior, except for 'group norm'. Unlike previous studies, the results may come from the fact that this study deals with an illegal behavior. The third finding indicates a structural relationship between social relationship factors. When members of a group have more amicable attitude to file sharing including silence or a tacit agreement on file sharing, more people ask illegal sharing of files that they need. Such public demand creates expectation of reciprocity. As reciprocity maintains, social connectedness is strengthened. Then, strong social connectedness escalates the intent to maintain file sharing. It is important to notice that this study promotes understanding of how digital contents sharing happens by structuring and demonstrating influential relationship between characteristic factors of the social relationship.

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Consumers' Non-Ethics Behaviors Depending on their Demographic Characteristics (소비자 특성에 따른 소비자 비윤리 행동)

  • Kim, Jung-Hoon
    • Korean Journal of Human Ecology
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    • v.13 no.3
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    • pp.417-423
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    • 2004
  • The purpose of this study was to compare the consumers' ethics depending on consumers' characteristics. From the exploratory factor analysis, consumers' ethics were composed of four sub-factors such as actively benefiting from non-ethic behavior, actively benefiting from illegal behavior, benefiting from passively illegal behavior, and benefiting from others' costs. As results of this study, followings were found: 1) non-city residents, females, and 20's aged group tended to be more non-ethical rather than city residents, males and other aged group, respectively. 2) Group of middle school education tended to behave actively illegal compared with that of the graduate school education. 3) Religious values influenced on consumers' ethics. 4) While the lower income group tended to be actively benefiting more from non-ethic behaviors, the upper income group from actively illegal ones.

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Consumer Ethics and Fashion Corporate Social Responsibility -Attributions of Fashion CSR Motives and Perceptions-

  • Ahn, Soo-kyoung
    • Journal of Fashion Business
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    • v.20 no.6
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    • pp.1-18
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    • 2016
  • This study examines the impact of consumer ethics on the CSR motive attributions and, the subsequent consumer perception of the firm's ethicality. Data of 512 adults were collected nationwide using a self-administered questionnaire online. Exploratory and confirmative factor analysis were employed to identify six underlying dimensions of consumer ethics, as follows: actively benefiting from illegal actions, passively benefiting from illegal actions, no harm/no foul, economic benefiting from illegal actions, intellectual property infringement, and pro-environmental behavior. In order to examine the relationships between consumer ethics, CSR motive attribution, and consumer perceived ethicality, a structural equation modeling test was conducted. The results demonstrated that actively benefiting from illegal actions, economic benefiting from illegal action, and pro-environmental behavior had impacts on CSR motive attributions such as strategy-driven attribution, value-driven attribution, and stakeholder-driven attribution. Consequently, strategy-driven attribution and value-driven attribution influenced the consumer perception of the firm's ethicality, whereas stakeholder-driven attribution did not. This study provides an understanding of the CSR attribution mechanism from the view of consumer ethics that are multi-dimensional. The ethical judgements on different types of consumer behavior lead to attributions of CSR motives and subsequently their perception of a firm's ethicality.

A Study on Factors that Influence the Attitude to Pirate Smartphone Application (스마트폰 애플리케이션 불법적 사용 태도에 미치는 요인 연구)

  • Kim, Joong Han
    • Journal of Information Technology Services
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    • v.13 no.2
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    • pp.19-34
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    • 2014
  • As the global smartphones market is growing at a brisk pace, their associated mobile applications are becoming increasingly ubiquitous in our daily life. The growth of mobile application business is explosive. Like other digital contents businesses, illegal downloads of copyrighted mobile applications become major obstacle in the future of the industry. In spite of anti-piracy efforts, the phenomenon has been getting worse. It is necessary to change the focus of current deterrence policies and strategies. This study investigates the factors influencing smartphone applications piracy behavior. For better understanding of illegal behavior, a research model of potential determinants for the piracy behavior is developed and empirically tested via path analysis using structural equation modeling. Findings show that social factors, beliefs concerning benefits from piracy, self-efficacy, and habit have significant effects on attitude toward smartphone application piracy. The result also shows perceived risks and facilitating conditions were not significantly related to their attitude. Implications for research and practice are discussed.

A Web-GIS Based Monitoring Module for Illegal Dumping in Smart Cities

  • Han, Taek-Jin
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.6_1
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    • pp.927-939
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    • 2022
  • This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core technical elements of the module configuration. Five core technical elements are as follows; video screening technology based on motion vector analysis, human behavior detection based on intelligent video analytics technology, mobile app for receiving civil complaints about illegal dumping, illegal dumping risk model and street cleanliness map, Web-GIS based situation monitoring technology. The development contents and results for each set of core technical elements were evaluated. Finally, a Web-GIS based 'illegal dumping monitoring module' was proposed. It is possible to collect and analyze city data at the local government level through operating the proposed module. Based on this, it is able to effectively detect illegal dumpers at relatively low cost and identify the tendency of illegal dumping by systematically managing habitual occurrence areas. In the future, it is expected to be developed in the form of an add-on module of the smart city integration platform operated by local governments to ensure interoperability and scalability.

Moral Judgment and Intention to Make Illegal Copies of Smart Phone Applications (스마트폰 애플리케이션 불법복제에 대한 소비자의 도덕적 판단과 불법복제의도 -전북지역 대학생을 중심으로 한 사례분석)

  • You, So-Ye;Sun, Ying-Hua
    • The Korean Journal of Community Living Science
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    • v.22 no.4
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    • pp.655-668
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    • 2011
  • Although consumer ethical behavior related with illegal copies of digital software has been considered to be an important issue, not many studies have attempted to examine the issue. Firstly, this study attemped to explain the moral judgment and intention to make illegal copies of smart phone applications for college students. Secondly, psychological factors such as moral intensity and perceived risk related to making illegal copies were tested to be significantly different in individual characteristics such as experience of ethical education and past experience of making illegal copies of software, sex, age and household income. Thirdly, the effect of related factors such as psychological factors and individual characteristics was estimated to significantly influence moral judgment and intention to make illegal copies. Two step method(using LIMDEP program) was applied to estimate the model as a structural equation model. According to the results of this study, magnitude of consequences, financial risk and performance risk were found to be significantly different in income groups(less than middle class vs more than middle class). Prosecution risk was found to be significantly different in gender groups(female vs male). In addition, social consensus, financial risk, performance risk and prosecution risk were found to be significantly different in ethical education groups(experience vs no experience). Furthermore, moral judgment for making illegal copies of smart phone applications was found to be significantly influenced by income, ethical education, magnitude of consequences, temporal immediacy and social consensus. And intention to make illegal copies of smart phone applications was found to be significantly influenced by moral judgment, age, financial risk, performance risk and prosecution risk.

Efficient Illegal Contents Detection and Attacker Profiling in Real Environments

  • Kim, Jin-gang;Lim, Sueng-bum;Lee, Tae-jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.6
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    • pp.2115-2130
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    • 2022
  • With the development of over-the-top (OTT) services, the demand for content is increasing, and you can easily and conveniently acquire various content in the online environment. As a result, copyrighted content can be easily copied and distributed, resulting in serious copyright infringement. Some special forms of online service providers (OSP) use filtering-based technologies to protect copyrights, but illegal uploaders use methods that bypass traditional filters. Uploading with a title that bypasses the filter cannot use a similar search method to detect illegal content. In this paper, we propose a technique for profiling the Heavy Uploader by normalizing the bypassed content title and efficiently detecting illegal content. First, the word is extracted from the normalized title and converted into a bit-array to detect illegal works. This Bloom Filter method has a characteristic that there are false positives but no false negatives. The false positive rate has a trade-off relationship with processing performance. As the false positive rate increases, the processing performance increases, and when the false positive rate decreases, the processing performance increases. We increased the detection rate by directly comparing the word to the result of increasing the false positive rate of the Bloom Filter. The processing time was also as fast as when the false positive rate was increased. Afterwards, we create a function that includes information about overall piracy and identify clustering-based heavy uploaders. Analyze the behavior of heavy uploaders to find the first uploader and detect the source site.