• Health Policy and Management
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• v.8 no.1
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• pp.266-282
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• 1998

We model that separation is a rational decision to resolve the inherent uncertainty about quality form the matching process. In health insurance markets, quality of services is revealed to consumers only after enrollment. Discrepancies between the expected and realizeed quality lead utility-maximizing enrollees to disenroll if they find a better alternative. Accordingly, factors that reduce this discrepancy will decrease disenrollment. The firm-level empirical analysis shows that disenrollment is relatively small in markets where the reputation effect works efficiently becuse consumers can predict the expected quality accurately.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.137-152
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• 2012

As social media such as facebook and twitter is widespread, social commerce appears as a new way of e-commerce. Social commerce is a subset of electronic commerce that involves using social media that supports social interaction and user contributions. From the understanding of social commerce and literature review, we deduced the research model that relationship, collectivism, convenience, usefulness, low price, reputation, and rapidness have influence on satisfaction and repurchase intention. As a result of data analysis, relationship, convenience, usefulness, low price, and rapidness had influence on satisfaction and repurchase intention. And collectivism had influence on relationship. But reputation did not have influence on satisfaction. The focus of this study is on the effect of relationship and collectivism on satisfaction and repurchase, because relationship and collectivism is the major feature of social commerce. Succinctly speaking, collectivism affects relationship among users, in turn, relationship affects satisfaction and repurchase intention. This study gives a contribution to business. Business related with social commerce has to make a business strategy for managing relationship and consider collectivism tendency for selecting target customer.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.653-658
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• 2006

Trust can be defined as the level of subjective probability with which an agent will perform a particular action. This paper proposes a comprehensive fuzzy trust model which incorporates dispositional trust, general trust, and situational trust and reputation information. In the model, the preference degrees for the interaction outcomes with respect to the evaluation criteria are expressed in a fuzzy set, and Sugeno's fuzzy integral is employed to aggregate the satisfaction degrees with respect to the importance of evaluation criteria which can be assigned in a way to preserve the properties of the ${\lambda}-fuzzy$ measure.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.145-150
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• 2021

The trend of globalization leads an increased need for international freight transportation and accelerates the development of the international logistics industry. The objective of this paper is to identify the critical factors that affect the choice of logistics service provider (LSP). The data sample was collected through a questionnaire, responded by 218 companies that outsource logistics services. The analysis uses descriptive statistics; exploratory factor analysis (EFA) and regression analysis were conducted with SPSS. The role of capabilities, customer service, and company reputation were evaluated and tested. Our findings show that capabilities and customer service have a considerable impact on the choice of LSP. The findings also indicate that company reputation do not have significant impact on the choice of LSP. They also showed that the capabilities is the variable that has the most significant effect on the choice of LSP. An implication of this study is that the competition should not only focus on pricing, but should be extended to improving enterprises capabilities, i.e., upgrading human resources, modernizing the modes of transportation, expanding business geographically and developing new technologies. Our study provides LSP managers with insights into how to meet customer expectations in the competitive logistics service sector.

• The Research Journal of the Costume Culture
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• v.31 no.3
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• pp.310-329
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• 2023

To compete with the growth of fashion shopping platforms in the online fashion market, general shopping platforms have begun to expand their product categories to include fashion items. This research examines the characteristics that influence consumers' trust in each of these platforms and their intention to reuse them. Applying the concept of platforms, this study also distinguishes between general shopping platforms and fashion shopping platforms and compares their characteristics. This study surveyed 788 consumers in their 20s and 30s with experience in using general shopping platforms or fashion shopping platforms (389 and 399 respondents, respectively). SPSS was used to conduct frequency analysis, factor analysis, and cross-tabulations, and AMOS was used to conduct confirmatory factor analyses and structural equation analyses. The results were as follows: platform reputation, shopping convenience, and interactivity all influenced consumer trust. For fashion shopping platforms, the product quality factor significantly improved consumer trust. However, for general shopping platforms, the product quality factor only influenced reuse intentions to reuse and did not contribute to improving trust. Platform reputation and information offering have influenced reuse intentions for both shopping platforms. Regardless of the type of shopping platform, platform reputation has influenced reuse intentions and consumer trust, and platform esthetics didn't have affect consumer trust and consumers' reuse intentions. Consumer trust influenced the intention to reuse on both platforms.

• Management & Information Systems Review
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• v.36 no.2
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• pp.133-156
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• 2017

This paper explores a theoretical framework, in which compassion arising from others' suffering among organizational members can be connected to EV to CSR activities via POI. We argue that compassion may generate positive identity related to being a member of a particular organization (i.e., POI), which increases to EV to CSR, ultimately leading to the enhancement of the corporate reputation. In return, an enhanced reputation for the corporation results in an increase of employees' perceived organizational identity via increase of CEI. Employees with high POI are more likely to carry out compassion and share it with others within an organization. In short, the positive circulation between compassion and EV to CSR as shown in Figure 2 demonstrates not only the ways in which compassion among organizational members can evoke EV to CSR through POI, but also how EV to CSR can facilitate compassion within an organization in terms of enhanced corporate reputation.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.225-232
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• 2019

The trademark dilution of famous marks as a kind of unfair competition practice is defined and regulated in Article 2 (1) (c) of the Unfair Competition Prevention and Trade Secret Protection Act (hereinafter referred to as the Unfair Competition Prevention Act), which was newly established according to the amendment of the Act on February 3, 2001. Famous trademarks are universally protected in all around the world, which are likewise protected in the Republic of Korea by the Unfair Competition Prevention Actin line with such international trends. In order to establish the trademark dilution of famous marks, it is necessary to have the following characteristics: (1) high reputation of the original mark, (2) use of identical or similar markscompared to the original mark, (3) occurrence of blurring of discrimination or tarnishment of reputation; in particular, with respect to the degree of proof of 'blurring of discrimination or tarnishment of reputation', which is a constituent requirement of the trademark dilution of famous marks, it is reasonable to interpret the trademark dilution as concrete endangerment offense, neither harm-based offense nor abstract endangerment offense, and thus it should be considered that the crime is established if a specific realistic risk of blurring of discrimination or tarnishment of reputation occurs. Furthermore, in relation to the specific criteria of 'blurring of discrimination or tarnishment of reputation', it is necessary to comprehensively judge the degree of individual behavior in specific matters as a normative factor as well as the psychosocial viewpoint of the general public.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1481-1501
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• 2019

In opportunistic network, the behavior of a node is autonomous and has social attributes such as selfishness.If a node wants to forward information to another node, it is bound to be limited by the node's own resources such as cache, power, and energy.Therefore, in the process of communication, some nodes do not help to forward information of other nodes because of their selfish behavior. This will lead to the inability to complete cooperation, greatly reduce the success rate of message transmission, increase network delay, and affect the overall network performance. This article proposes a hybrid incentive mechanism (Mim) based on the Reputation mechanism and the Credit mechanism.The selfishness model, energy model (The energy in the article exists in the form of electricity) and transaction model constitute our Mim mechanism. The Mim classifies the selfishness of nodes and constantly pay attention to changes in node energy, and manage the wealth of both sides of the node by introducing the Central Money Management Center. By calculating the selfishness of the node, the currency trading model is used to differentiate pricing of the node's services. Simulation results show that by using the Mim, the information delivery rate in the network and the fairness of node transactions are improved. At the same time, it also greatly increases the average life of the network.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.195-201
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• 2018

Smartphones and PCs have become essential components of our daily life. People are expressing their opinions freely in SNS by using these devices. We are able to predict public opinions on specific subject by analyzing the related big data in SNS. In this paper, we have collected opinion data in SNS and analyzed reputation by text mining in order to make a prediction for the will of the people before 19th presidential election in South Korea. The result shows that our method makes more accurate estimate than other election polls.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.649-664
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• 2015

Recently, the risk of security incidents has been increased due to change of IT environment and development of new hacking methods. Event study methodology that measures the effect of a specific security incident on the stock price is widely adopted to analyze the damage cost of security incidents on market value. However, analysis of company's temporary stock price change is limited to immediate practical implication, and reputation loss should be considered as a collateral damage caused by security incidents. We analyzed 52 security incidents of listed Korean companies in the last decade; by refining the criteria presented by Tobin's q, we quantitatively showed that the companies has significantly higher reputation loss due to security loss than the other companies. Our research findings can be used in order that the companies can efficiently allocate its resource and investment for information security.