• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.343-353
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• 2023

Corporate reputation is a widely debated topic among academics and a crucial issue in the business world. However, previous research in this area has been scattered and fragmented, leaving room for further study, particularly in terms of reputation measurement methods. Factors such as sustainability reporting, governance attributes, and company characteristics have been linked to improved company reputation. However, there is limited research on the effects of these variables on the new methods of measuring reputation, especially in developing countries like Malaysia. Therefore, the current study developed a new measurement for reputation and aimed to examine the relationship between these variables and the new proxy of reputation. The current study collected secondary data from the company's annual report for two years period of study (i.e., 2018 and 2019) and employed content analysis. A period of two years was chosen and deemed ample to provide insightful findings of the effect of the variables associated with reputation disclosure. The results indicate that sustainability reporting, outside directors, company size, leverage, and profitability significantly impact corporate reputation. This finding suggests that Malaysian PLCs and other firms in developing countries must recognize sustainability reporting as part of their reputation management strategy that influences the company's reputation.

• Journal of KIISE
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• v.42 no.10
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• pp.1286-1293
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• 2015

Most e-marketplaces build a reputation system that provides potential buyers with reputation scores of sellers in order for buyers to identify the sellers that are more reliable and trustworthy. The reputation scores are computed based on the aggregation of buyers' ratings. However, when these ratings are used to compute the reputation scores, the existing reputation systems do not make a distinction according to the following two criteria: the capability of the seller and the quality of an item. We claim that a reputation system needs to separate the two criteria in order to provide more precise information about the seller. In this paper, we propose a method to compute seller's reputation by separating the rating into the seller's score and the item's score. The proposed method computes the reputation of the seller's capability by using only the 'seller's score' and helps potential buyers to find reliable sellers who provide fast delivery and better service. In experiments, we propose a simulation strategy that reflects the real life of an E-marketplace and verify the effectiveness of our method by using the generated simulation data.

• Journal of Arbitration Studies
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• v.33 no.3
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• pp.129-146
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• 2023

We construct a signaling game model between the arbitrator and claimants, in which the arbitrator's marketing amount is adopted as the signaling device. Assuming that the parties to the dispute select an arbitrator, and if there is a difference in the arbitrator's fee depending on the arbitrator's reputation, the arbitrator will pay to further enhance his reputation. We would like to analyze the cost differences between arbitrators who already have a high reputation and arbitrators who strive to further enhance their reputation using the signal model. From the Analysis of our study, We derive perfect Bayesian equilibrium of the signaling game and refine the equilibrium into a unique equilibrium by invoking the Intuitive Criterion of Cho and Kreps (1987). Further, we characterize the refined equilibrium.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1570-1594
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• 2017

Social network services have recently changed from environments for simply building connections among users to open platforms for generating and sharing various forms of information. Existing user reputation computation methods are inadequate for determining the trust in users on social media where explicit ratings are rare, because they determine the trust in users based on user profile, explicit relations, and explicit ratings. To solve this limitation of previous research, we propose a user reputation computation method suitable for the social media environment by incorporating implicit as well as explicit ratings. Reliable user reputation is estimated by identifying malicious information raters, modifying explicit ratings, and applying them to user reputation scores. The proposed method incorporates implicit ratings into user reputation estimation by differentiating positive and negative implicit ratings. Moreover, the method generates user reputation scores for individual categories to determine a given user's expertise, and incorporates the number of users who participated in rating to determine a given user's influence. This allows reputation scores to be generated also for users who have received no explicit ratings, and, thereby, is more suitable for social media. In addition, based on the user reputation scores, malicious information providers can be identified.

• Korea Journal of Hospital Management
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• v.14 no.4
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• pp.25-51
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• 2009

This model was empirically developed to test the effect of medical service quality and hospital's reputation on customer satisfaction, repurchase intention, and negative word of mouth as to disease severity. The model was tested in the context of the hospital industry. The findings are as follows. First, medical service provider's functional quality and technical service quality have significant effect on customer satisfaction. Second, hospital's reputation has positive(+) effect on customer satisfaction and significant negative effect on negative word of mouth. Third, customer satisfaction with medical service quality has significantly positive effect on customer's repurchase intention and has negative(-) effect on customer's negative word of mouth. Furthermore, customer's negative word of mouth has negative effect on their repurchase intention. Fourth, as to different disease severity, medical service quality and hospital's reputation have different effect on customer satisfaction, repurchase intention, and negative word of mouth. When patients get slightly ill, functional service quality and technical service quality have direct influence on customer satisfaction which has positive influence on repurchase intention and negative influence on negative word of mouth. Finally, negative word of mouth has negative effect on customer's repurchase intention. However, while hospital's reputation doesn't have effect on customer satisfaction, the reputation has significantly negative effect on negative word of mouth. When patients get seriously ill, only functional service quality has positive effect on customer satisfaction which influences on customer's repurchase intention and negatively influences on negative word of mouth. On the contrary, negative word of mouth doesn't influence on customer's repurchase intention as patients want to treat serious diseases in the large general hospitals even though negative word of mouth is known to them.

• Convergence Security Journal
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• v.18 no.1
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• pp.103-110
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• 2018

Modern society is increasingly demanding in many areas of big data processing technology to collect, aggregate, and analyze large amounts of data over the Internet and SNS. A typical application is to evaluate the reputation of a company or college. To measure and quantify a reputation, fair and precise data and efficient data processing are very important. For this purpose, a quantitative quotient was obtained using public data, a qualitative quotient was obtained through sentiment analysis using news articles, and a complex college reputation quotient was calculated. In this paper, a complex college reputation quotient was calculated based on the quantitative index, reflecting the sentimental reputation, and based on the proposed mixed university system. In this paper, the Complex College Reputation System(CCRS) was proposed, which produced the Complex College Reputation Quotient with an objective quantitative quotient and qualitative quotient reflecting the sentimental reputation to measure the college reputation.

• Journal of Fashion Business
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• v.6 no.4
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• pp.17-31
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• 2002

This study is, to the special company with corporate brand, to investigate the effect of its reputation, credibility and the similarity of business area on consumer's attitude toward its clothing products. It is another topic of the study to reveal statistical significance in comsumer's attitude when naming new product with two different brand strategy. The major findings of this study can be summarized as follows. First, there was positive relationship between corporate reputation and consumer's attitude toward new brand and also between corporate credibility and consumer's that. Second, corporate credibility is proven to be grown in proportion to company's reputation. In other words, a corporate credibility is grown with a corporate reputation. Third, the influence of similarity or fitness of business area has a positive effect on a attitude toward new brand. The case of use the new brand name, the variable had low effect on attitude toward new brand, comparing to the case of use the existing brand name but seems to be statistically significant. Fourth, comparing to the inclination toward company's product based on brand name, strategy of supporting brand extension is more effective than that of new brand name on evaluating company's reputation, credibility and the similarity of business area. Fifth, the similarity of business area and the interaction of brand name on the basis of the strategy of use the existing brand name(;brand extension strategy) and new one have significant effect on the inclination to a brand. When participating a new business, it is more effective that a company is extending its business where the similarity of business area is growing. For the case of low similarity, the brand-new strategy is proven to be effective.

• Journal of Distribution Science
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• v.10 no.8
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• pp.15-23
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• 2012

This study is an attempt to explore the nature and characteristics of strategic impact of green strategy by environmental capital, corporate reputation, and technology strengths on the firm's performance across countries. The main question addressed in this paper relates to how corporate sustainability, corporate reputation, technology strength, and capabilities influence the firm's economic performance with respect to diverse dimensions of performance measures including sustained growth through the leading firms across countries in the United States, Canada, Europe, and Asia-Pacific countries. Particularly, this study attempts to empirically explore the directions and magnitudes of the operational links between new emerging strategic core competencies (e.g., sustainability green strategy by environmental focus for more sustainable path, corporate reputation by corporate social responsibility and image enhancement, and technology strengths to develop a new product and market) and the firm's economic performance with respect to diverse dimensions of performance such as accounting (ROE and EOA) - and market-based performance (Market value and Tobin's q). Considering all possible limitations that might exist with regard to selected samples and methods, this study demonstrates that environmental sustainability, corporate reputation, technological capabilities and competencies through R&D intensity and patent are most likely to be significantly associated with most market-based performance measures, but the strategic significance of other variables such as capital intensity, leverage, and administrative cost efficiency on performance tends to be different depending on which performance measure is used across different countries with diverse economic and business contexts.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.171-182
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• 2020

This research focuses on the importance of corporate social responsibility in building the company's reputation. Experts have studied CSR as an antecedent of a company's reputation, but the mechanisms underlying this process are rarely explored. Therefore, to fill this research gap, we demonstrate CSR's implementation combined with organizational justice based on discrepancy and equity theory. This study involved 210 employees in a family company. The study's analysis method uses Structural Equation Model (SEM), SmartPLS, with a five-step measurement and analysis procedure. The variables in this study are CSR implementation, organizational justice, employee trust, firm reputation, organizational objectiveness, organizational commitment, job satisfaction, and job performance. The results found that some of the direct relationships stated were not significant, but all demonstrations of indirect links were substantial. Besides, optimal CSR and organizational justice provide a reliable and positive domino effect in increasing the role and consequences of employee trust and firm reputation. The findings in this study confirm that upstream-downstream job performance causality can be successfully achieved if job satisfaction has been realized, job satisfaction can be achieved if organizational commitment can also be recognized, and organizational commitment can be developed. Reflection and influence, rather than organizational attractiveness becomes essential.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.263-276
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• 2015

As a social being, people can cooperate and control one another through the power of reputation, which is a critical opinion of someone given by others. Nevertheless, there have been obstacles in clarifying the identity of traditional types of reputation, for they are mostly words of mouth passed among members of a society. However, due to dramatic technological advancement and widespread use of the Internet and social media, now we can clearly see and analyze written reputations, which used to be passed only from mouth to mouth. Against this background, this study examines whether a negativity bias-a notion that an event of a more negative nature has a greater effect on one's psychological state than a positive event-applies to spread of reputation online, and examines related factors and effects. To this end, reputation-related online comments left by social media users during the election period of Korea's 6th provincial election on 4 June 2014 were analyzed. For the analysis, a Bass diffusion model was used, which is based on the innovation diffusion theory. The analysis results confirmed that, at online forum, negative reputations spread more quickly and more widely than positive ones, had a greater impact, and mass media such as online news outlets had a significant influence on spread of reputation online.