• Title, Summary, Keyword: Reputation Analysis

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The College Reputation System using Public Data and Sentiment Analysis (공공데이터와 감성분석을 이용한 대학평판시스템)

  • Kim, Eun-Ah;Lee, Yon-Sik
    • 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.

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User Reputation computation Method Based on Implicit Ratings on Social Media

  • Bok, Kyoungsoo;Yun, Jinkyung;Kim, Yeonwoo;Lim, Jongtae;Yoo, Jaesoo
    • 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.

A Study on the Impact of Negativity Bias on Online Spread of Reputation : With a Case Study of Election Campaign (온라인상에서 부정적 편향에 따른 평판 확산 차이에 관한 연구 : 선거 사례를 중심으로)

  • Kim, Na-Ra;Shin, Kyung-Shik
    • 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.

A Study upon Online Measurement techniques of Corporate Reputation (기업의 디지털 평판 측정 기법 연구)

  • Kim, Seung-Hee;Kim, Woo-Je;Lee, Kwang-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.9
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    • pp.139-152
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    • 2013
  • Although a series of studies shows the fact that a company's reputation could affect its sales rate and stock price, due to the increased use of SNS, the research related to the online measurement method for the corporate reputation has been relatively insufficient. This study explores a design for a method to quantify the corporate reputation value by reconstructing the discussions in literature review. Concretely, this study divides the corporate reputation value into the corporate identity information and the corporate awareness information, which includes the following five sub-categories: (1) the quality of product and service; (2) the employment environment; (3) the corporate vision; (4) the social responsibility; and (5) the business achievement. Additionally, for the corporate identity assessment, this study considers the following six factors: (1) Agreeableness (Goodness), (2)Capability (Ability), (3)Enterprise (Rise), (4)Chic (Class), (5) Ruthlessness (Authority), and (6)Informality. Based on these categories and factors, this study develops a technique quantifying the corporate reputation value by selecting 'word items' for the reputation search, and after conducting a frequency analysis in a survey. Also, to verify the result, this study exemplifies the reputation of three SI companies in Korea which could be utilized by using the commercialized reputation service. This study firstly attempts the corporate reputation measurement by classifying the identity and the awareness (corporate image and communication) upon a company in detail and enables its real applicabilities by proposing a formula to measure the reputation scores which can be utilized by verified word items from a frequency analysis.

CSR and Firm Reputation from Employee Perspective

  • TANGNGISALU, Jannati;MAPPAMIRING, M.;ANDAYANI, Wuryan;YUSUF, Muhammad;PUTRA, Aditya Halim Perdana Kusuma
    • 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.

A study on the internal reputation factors affecting the job satisfaction: Focusing on big data analysis in the social media for corporation reputation (직무만족도에 영향을 미치는 내부평판 요인에 관한 연구: 기업정보 제공 소셜 미디어 빅데이터를 중심으로)

  • Seo, Woon-Chae;Kim, Hyoung-Joong
    • Journal of Digital Contents Society
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    • v.17 no.4
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    • pp.295-305
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    • 2016
  • The purpose of this study is to analyze the internal reputation factors that affect the job satisfaction by big data analysis in the social media for corporate reputation and verify the difference between large corporations and small-medium corporations for each factor of internal reputation. The result showed 'Salaries and Benefits' is a major factor that affects the job satisfaction for all research corporations, 'Senior Management' is a major factor for large corporations, and 'Salaries and Benefits' is a major factor for small-medium corporations. As for the difference factors of large corporations and small-medium corporations are 'Job Satisfaction', 'Salaries and Benefits', and 'Work-life Balance'. Unstructured data analysis shows some interesting features to be studied further.

The Effects of Perceived Medical Service Quality on Patient Satisfaction, Hospital's Reputation and Loyalty

  • Choi, Un-Kyong
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.1
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    • pp.177-185
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    • 2020
  • The purpose of this study is to analyze the effect of patient's perceived medical quality of service on satisfaction, hospital reputation, and loyalty to provide a strategic way to increase profitability and competitiveness of hospitals by preventing the departure of existing customers and promoting reuse. AMOS 20.0 was used for structural model analysis and identification factor analysis and SPSS 21.0 program was used for empirical analysis. As a result, the quality of medical service had a significant effect on satisfaction and reputation, and the quality of medical service had the greatest effect on satisfaction. Satisfaction has a positive effect on reputation and loyalty and is an important factor in determining loyalty. Recognizing the importance of improving quality of service and building relationships with patients should be prepared for strengthening relationships.

A Study on the Structural Relationship between Quality of Medical Service, Perceived Risk, Reputation and Customer Satisfaction in Small and Medium Hospitals (중소병원의 의료서비스 품질, 지각된 위험, 평판, 고객만족의 구조적 관계 연구)

  • Park, Ae-Jun
    • The Journal of Industrial Distribution & Business
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    • v.10 no.4
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    • pp.67-76
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    • 2019
  • Purpose - This study attempted to construct and validate a structural model of the relationship between the quality of medical services, perceived risk, reputation and customer satisfaction, which is the main concept of the relationship between large hospitals as well as small and medium hospitals and medical consumers. Through this verification, the small and medium hospitals are to find the way for wise coping in competitive situation with large hospitals. Research design, data, and methodology - This research developed a hypothesis by constructing a structural equation that reaches the satisfaction and the relationship between reputation of perceived risk and perceived risk of service quality perceptions of customers of small and medium hospitals. Research data were collected through a questionnaire survey of respondents who had medical service experience from small and medium hospital. A total data of 252 respondents were used as the sample for the final analysis and analyzed using SPSS 23.0 and AMOS 23. Results - As a result, the relationship of quality of medical service, reputation, and customer satisfaction among small and medium hospitals was consistent with the results of precedent studies, and the perceived risk has a significant impact on reputation, so the greater the perceived risk, the higher the preference for reputable medical institutions as large hospitals. In addition, it was found that the direct route from perceived risk to customer satisfaction was not significant, and reputation was found to have a full mediating effect on perceived risk and customer satisfaction. Customers who use small and medium hospitals prefer to use reputable medical institutions if their perceived risk is high, which is different from risk perception when specific targets are specified. Conclusions - In terms of the effect from customer satisfaction, not only the path of perceived risk → reputation → customer satisfaction, but also the quality of service quality → reputation → customer satisfaction. These findings suggest that small and medium hospitals are appropriately responding to competition with large hospitals, rather than focusing on the perceived risks and reputation of customers in establishing and utilizing competitive strategies to create new customers and preserve existing customers.

Influence of CSR Activities on Corporate Reputation Depending on Brand Equity (기업의 브랜드자산에 따른 CSR활동이 기업평판에 미치는 영향)

  • Yoon, Ki-chang
    • Journal of Venture Innovation
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    • v.1 no.2
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    • pp.13-34
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    • 2018
  • In this case, research has been conducted to verify that the purpose of establishing a reputation for establishing a reputation for identifying brand equity is research and investigation in the context of establishing a reputation for establishing a reputation, and conducting research on CSR activities that are essential to the essential activities of companies. The survey conducted a survey on behalf of the National Center for Adult Women and Girls and Girls ' Generation, using the final round of Section 305 to develop a series of findings, including the analysis of the feasibility analysis, feasibility analysis, reliability, correlation analysis, and factors analysis. A summary of the effects of research on corporate reputation on corporate reputation according to corporate CSR activities is as follows. 1st. Brand equity will have a positive effect on the Company's reputation. The hypothesis had a significant impact on brand recognition, brand loyalty, and perceived quality, but did not have significant impact on the brand image. 2st. Brand equity will have a positive effect on ethical responsibility. The hypothesis had a significant impact on brand recognition, brand loyalty, and perceived quality, but did not have significant impact on the brand image. 3st, the brand equity will have a positive effect on the benefit of the benevolent. The hypothesis had a significant impact on brand recognition, brand loyalty, and perceived quality, but did not have significant impact on the brand image. 4st, The theory that the influence of positive(+) will affect the company's reputation has a significant impact on both ethical and philanthropic factors. 5st. The ethical responsibility was found to have no effect on the usefulness of the brand between brand assets and corporate reputation. 6st. The philanthropic responsibility was partly attributable to the fact that there was a substitution between brand equity and corporate reputation. In sum, the company needs to prioritize its brand recognition before establishing its reputation, and the reason why it should be implemented is that the other elements of the brand equity should be evaluated with the presence of other elements of the brand equity, thereby ensuring continued compliance with continuous CSR activities. As a result, consumers expect to see the performance-based role of the company as a strategic and long-term perspective, as consumers want to see the CSR activity and the corporate reputation in a long-term manner, as opposed to the financial responsibility and legal responsibilities of the past, as opposed to the past.

Reputation Analysis of Document Using Probabilistic Latent Semantic Analysis Based on Weighting Distinctions (가중치 기반 PLSA를 이용한 문서 평가 분석)

  • Cho, Shi-Won;Lee, Dong-Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.632-638
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    • 2009
  • Probabilistic Latent Semantic Analysis has many applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. In this paper, we propose an algorithm using weighted Probabilistic Latent Semantic Analysis Model to find the contextual phrases and opinions from documents. The traditional keyword search is unable to find the semantic relations of phrases, Overcoming these obstacles requires the development of techniques for automatically classifying semantic relations of phrases. Through experiments, we show that the proposed algorithm works well to discover semantic relations of phrases and presents the semantic relations of phrases to the vector-space model. The proposed algorithm is able to perform a variety of analyses, including such as document classification, online reputation, and collaborative recommendation.