• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.295-302
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• 2022

This study intends to apply the concept of reputation as a tool to positively build an evaluation of the CEO, the CEO of a company. It aims to develop tools to manage the reputation of the CEO and empirically explore the value of the tools use. As a result of the study, reliability, customer management, strategic vision, employee management, and social responsibility were derived as the constituent factors of CEO reputation, and it was confirmed that the relationship between CEO reputation and organizational favorability was statistically causal. Furthermore, the relationship between CEO reputation and product purchase intention was also statistically significant. It was confirmed that if the CEO's reputation was positively managed, it could help the stakeholders to evaluate the company to which the CEO belongs, as well as to purchase the products provided by the company. One of the ways to be well-received by various stakeholders in a corporate environment where uncertainty is intensifying is a reputation management system for CEOs, and CEOs themselves should recognize that their reputation can affect the organization and pay attention to reputation management.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.6214-6242
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• 2019

Routing in mobile ad hoc networks is performed in a distributed fashion where each node acts as host and router, such that it forwards incoming packets for others without relying on a dedicated router. Nodes are mostly resource constraint and the users are usually inclined to conserve their resources and exhibit selfish behaviour by not contributing in the routing process. The trust and reputation models have been proposed to motivate selfish nodes for cooperation in the packet forwarding process. Nodes having bad trust or reputation are detected and secluded from the network, eventually. However, due to the lack of proper identity management and use of non-persistent identities in ad hoc networks, malicious nodes can pose various threats to these methods. For example, a malicious node can discard the bad reputed identity and enter into the system with another identity afresh, called whitewashing. Similarly, a malicious node may create more than one identity, called Sybil attack, for self-promotion, defame other nodes, and broadcast fake recommendations in the network. These identity-based attacks disrupt the overall detection of the reputation systems. In this paper, we propose a reputation-based scheme that detects selfish nodes and deters identity attacks. We address the issue in such a way that, for normal selfish nodes, it will become no longer advantageous to carry out a whitewash. Sybil attackers are also discouraged (i.e., on a single battery, they may create fewer identities). We design and analyse our rationale via game theory and evaluate our proposed reputation system using NS-2 simulator. The results obtained from the simulation demonstrate that our proposed technique considerably diminishes the throughput and utility of selfish nodes with a single identity and selfish nodes with multiple identities when compared to the benchmark scheme.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.21-28
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• 2021

The purpose of this study is twofold. First, this paper argues that a theoretical lens that can connect three crucial concepts is often missing when it comes to assessing the success or failure of corporate reputation in terms of corporate environmental responsibility. These three concepts include the legitimacy of environmental disclosure information, stakeholder interest in corporate environmental responsibility, and the relationship between corporate environmental practices and disclosure. The second purpose is to investigate the roles of transparency and systemic thinking in corporate environmental responsibility and disclosure that could help to connect the information from environmental disclosure to internal information in firms, thereby minimizing conflicting accountabilities and increasing stakeholder engagement in environmental disclosure. Rather than conducting an empirical study, the author has followed a theoretical examination of legitimacy, stakeholder, and stewardship theories. This study, thus, suggests the retention of many theories (e.g. legitimacy, stakeholder, and stewardship) to study and explain the relationship of corporate environmental practices, environmental disclosure, and corporate reputation.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.395-400
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• 2007

Previous studies present the mixed results on online reputation mechanism. In this study, we have found that an approach based on Bayesian statistics can explain most results of previous studies which are conflicting with each others. With this model, we explain why negative ratings have more significant marginal impacts on sellers' reputation than positive ones do. Furthermore, we even show why the feedbacks with a few negative ratings may increase the value of the item and final prices by confirming buyers' prior beliefs on the sellers' reputation much more than those without negative ratings. Also, we explain why there are not many negative ratings. Even though some studies suggest this because of generosity of users, our model shows that the reason is that the existence of FS itself prevents bad sellers from participating to the market as a signal itself. Even further, we show how this extreme tendency of positive ratings gets even stronger as markets evolve. Finally, to validate our analytical results, we examine the previous studies and see what factors effect the outcomes of their analyses.

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.219-225
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• 2014

Competition between corporations is getting more intense, so they need customer feedback in order to fulfill an effective management. Recently, SNS (Social Network Service) such as Twitter and Facebook has grown dramatically because of smart phones. Social media like Twitter and Facebook let customers to express their needs, and using big data such as data on SNS is a very effective method for getting customer's feedback. Collecting and analyzing social big data are operated by Buzz monitoring system. This research suggests how to utilize big data for getting customer's feedback on hotel CRM(Customer Relationship Management), which considers customer itself as asset of business. This paper demonstrates the research of buzz monitoring system that analyzes big data, and presents results of hotel customer reputation using buzz monitoring system. It would analyze the result from the hotel customer reputation, and research the implication in this paper.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.493-498
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• 2005

P2P service is a method that can share various information through direct connection between computer of a person who have information and a Person who have information without server in the Internet and it is getting a lot of popularity by method for free ex change of file. P2P file sharing systems have become popular as a new paradigm for information exchange. Because all users who use service in P2P file sharing system can use shared files of several users freely by equal access privilege, it is happening the 'free rider' that only download shared file of other users without share own files. Although a user share a malicious file including virus, worm or file that have title differing with actuality contents, can use file sharing service without limitation. In this paper, we propose a method that restrict access of 'free rider' that only download using reputation information that indicate reliability of user. Also, we restrict usage ons hared file of other users about users who share harmful file.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1568-1576
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• 2015

This paper proposes a prediction reputation system for the anti-SPIT solution in real-time VoIP environment. Increased accuracy of the determination as to whether spam or not by deriving a threshold based on SPIT presence in the existing paper. The existing schemes need to get the user's feedback and/or have experienced the time delay and overload as session initiates due to real-time operation. To solve these problems, the proposed scheme predicts the reputation through the statistical analysis based on the period of session initiation of each caller and the call duration of each receiver. As per the second mentioned problem, this scheme performs the prediction before session initiation, therefore, it's proper for real-time VoIP environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.112-119
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• 2009

Telecare, one of the e-healthcare services with lCT, is a promising technology which aims to monitor the state of patients and then provide the medical services appropriately in remote sites. Virtual telecare team based on the concept of virtual collaborative teams which consist of a patient, a doctor, and a telecare team, operates on a temporary basis in need. Reputation, which means the degree of a patient's belief to a doctor in consideration, is the most important factor to make the virtual telecare team trustable. In this paper, we propose the fuzzy reputation model of a virtual telecare team, which is a reputation-based trust model based on fuzzy set theory. An illustrative example is also given in order to show the applicability of the model to the concept of a virtual telecare team.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.2
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• pp.152-160
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• 2013

This paper proposes a prediction reputation system for the anti-SPIT solution in real-time VoIP environment. The existing schemes need to get the user's feedback and/or have experienced the time delay and overload as session initiates due to real-time operation. To solve these problems, the proposed scheme predicts the reputation through the statistical analysis based on the period of session initiation of each caller and the call duration of each receiver. As per the second mentioned problem, this scheme performs the prediction before session initiation, therefore, it's proper for real-time VoIP environment.

• The Research Journal of the Costume Culture
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• v.13 no.4 s.57
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• pp.604-621
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• 2005

The purpose of this study were to analyse the consciousness of persons in charge of fashion industries and to provide some basis data for development of the fashion internship program which could reduce differentiation between fashion colleges and fashion companies. Fifty national fashion brands had been randomly selected and question researches had done from August twenty-seventh to October thirtieth by the visit, mail, fax and e-mail etc. Date analyses were conducted with SPSS program on the frequency, t-test and ANOVA. The results were as follows. The companies selected interns by documents and interview, however, in the future they will prefer to accept interns by appraising some task. They preferred to apprentice for two months with some simple job and tasks. The companies wanted some prerequisite study such as major curriculum, human nature education, computer education. And each division wanted different curriculum. They wanted to be joined with industrial disaster insurance for intern and to be given allowance and credit. They also preferred reputation ratio of industry : college as $70\%$ : $30\%$ for intern reputation. There were some vitalizing method of fashion internship such as discriminated fashion internship program, government support for industries, universities and students, organization opening to connect industry and . university, mentor-system and credit system introducing, curriculum reforming in the university.