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Journal articles on the topic 'Reputation rating'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Zhou, Xiangyun. "Can the dual-rating regulation improve the rating quality of Chinese corporate bonds?" PLOS ONE 16, no. 12 (2021): e0259759. http://dx.doi.org/10.1371/journal.pone.0259759.

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We developed a dual-reputational rating shopping model to introduce public and institutional reputations. Investor’s and regulator’s penalty rates are described as public and institutional reputations, respectively. We achieved the available conditions of single-rating and dual-rating regulations to prevent rating inflation in this model. To examine the regulatory effects of different types of regulations on Chinese corporate bond ratings, we utilize panel ordered logit models. Theoretical analysis and empirical tests show that, when the reputation effect is low, the single-rating regulation i

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2

Standifird, Stephen S. "Reputation and e-commerce: eBay auctions and the asymmetrical impact of positive and negative ratings." Journal of Management 27, no. 3 (2001): 279–95. http://dx.doi.org/10.1177/014920630102700304.

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This analysis explores the impact and nature of reputation as related to e-commerce by looking at the importance of a seller’s reputational rating on the final bid price associated with eBay auctions. Positive reputational ratings emerged as mildly influential in determining final bid price. However, negative reputational ratings emerged as highly influential and detrimental. Thus, we find strong evidence for the importance of reputation when engaging in e-commerce and equally strong evidence concerning the exaggerated influence of negative reputation.

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Swamynathan, Gayatri, Ben Y. Zhao, Kevin C. Almeroth, and Haitao Zheng. "Globally Decoupled Reputations for Large Distributed Networks." Advances in Multimedia 2007 (2007): 1–14. http://dx.doi.org/10.1155/2007/92485.

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Reputation systems help establish social control in peer-to-peer networks. To be truly effective, however, a reputation system should counter attacks that compromise the reliability of user ratings. Existing reputation approaches either average a peer's lifetime ratings or account for rating credibility by weighing each piece of feedback by the reputation of its source. While these systems improve cooperation in a P2P network, they are extremely vulnerable to unfair ratings attacks. In this paper, we recommend that reputation systems decouple a peer'sservice providerreputation from itsservice

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deHaan, Ed. "The Financial Crisis and Corporate Credit Ratings." Accounting Review 92, no. 4 (2017): 161–89. http://dx.doi.org/10.2308/accr-51659.

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ABSTRACT Credit ratings on many financial instruments failed to accurately portray default risk before the global financial crisis. I find no decline in the performance of corporate credit ratings during or after the crisis, indicating that the failures of ratings on financial instruments were due to conditions unique to the rating agencies' financial instruments divisions. Rather, the preponderance of tests indicate that corporate credit rating performance improves after the crisis, consistent with the rating agencies positively responding to public criticism and regulatory pressures. At the

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Garms, Lydia, Siaw-Lynn Ng, Elizabeth A. Quaglia, and Giulia Traverso. "Anonymity and rewards in peer rating systems1." Journal of Computer Security 30, no. 1 (2022): 109–65. http://dx.doi.org/10.3233/jcs-200113.

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When peers rate each other, they may rate inaccurately to boost their own reputation or unfairly lower another’s. This could be mitigated by having a reputation server incentivise accurate ratings with a reward. However, assigning rewards becomes challenging when ratings are anonymous, since the reputation server cannot tell which peers to reward for rating accurately. To address this, we propose an anonymous peer rating system in which users can be rewarded for accurate ratings, and we formally define its model and security requirements. In our system ratings are rewarded in batches, so that

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Lu, Runzhuo, Xiaodong Fu, and Yan Feng. "Consensus Clustering for Simulation-Based Reputation Measurement for Online Services." International Journal of Gaming and Computer-Mediated Simulations 16, no. 1 (2024): 1–18. https://doi.org/10.4018/ijgcms.361997.

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User ratings for online services can be considered a categorization of the services, forming an initial clustering of them. Online service reputation measurement based on user ratings can be viewed as a further clustering of services based on the users' categorization. However, current reputation measurement methods do not consider the consistency between service reputation and users' categorization of services, leading to unreasonable outcomes. In this paper, we propose a reputation measurement method for online services based on consensus clustering. First, a user-service rating matrix is es

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7

Frenkel, Sivan. "Repeated Interaction and Rating Inflation: A Model of Double Reputation." American Economic Journal: Microeconomics 7, no. 1 (2015): 250–80. http://dx.doi.org/10.1257/mic.20110077.

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Credit rating agencies have an incentive to maintain a public reputation for credibility among investors but also have an incentive to develop a second, private reputation for leniency among issuers. We show that in markets with few issuers, such as markets for structured assets, these incentives may lead rating agencies to inflate ratings as a strategic tool to form a “double reputation.” The model extends the existing literature on “cheap-talk” reputation to the case of two audiences. Our results can explain why rating inflation occurred specifically in markets for MBSs and CDOs during the r

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Luca, Michael, and Oren Reshef. "The Effect of Price on Firm Reputation." Management Science 67, no. 7 (2021): 4408–19. http://dx.doi.org/10.1287/mnsc.2021.4049.

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Although a business’s reputation can affect its pricing, prices can also affect its reputation. To explore the effect of prices on reputation, we investigate daily data on menu prices and online ratings from a large rating and ordering platform. We find that a price increase of 1% leads to a decrease of 3%–5% in the average rating. Consistent with this, the overall distribution of ratings for cheaper restaurants is similar to that of more expensive restaurants. Finally, these effects do not seem to be driven by consumer retaliation against price changes but by changes in absolute price levels.

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Banke, Marius, Stephanie Lenger, and Christiane Pott. "ESG Ratings in the Corporate Reporting of DAX40 Companies in Germany: Effects on Market Participants." Sustainability 14, no. 15 (2022): 9742. http://dx.doi.org/10.3390/su14159742.

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This study identifies to what extent DAX40 companies integrate ESG rating information into their reporting and whether the disclosure of ESG ratings results has a positive impact on professional and non-professional stakeholders, and thus represents a benefit for the reporting company. Our study shows that 82.5% of DAX40 companies report ESG rating results and we find that the disclosure of ESG rating results is a useful method for reporting companies (compared to non-reporters), as it leads to higher stock prices and better reputations. Considering that ESG rating results can differ substanti

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10

Bae, Kee-Hong, Jun-Koo Kang, and Jin Wang. "Does Increased Competition Affect Credit Ratings? A Reexamination of the Effect of Fitch’s Market Share on Credit Ratings in the Corporate Bond Market." Journal of Financial and Quantitative Analysis 50, no. 5 (2015): 1011–35. http://dx.doi.org/10.1017/s0022109015000472.

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AbstractWe examine two competing views regarding the impact of competition among credit rating agencies on rating quality: the view that rating agencies do not sacrifice their reputation by inflating firm ratings, and the view that competition among rating agencies arising from the conflict of interest inherent in an “issuer pay” model creates pressure to inflate ratings. Using Fitch’s market share as a measure of competition among rating agencies and controlling for the endogeneity problem caused by unobservable industry effects, we find no relation between Fitch’s market share and ratings, s

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Xie, Changqian, Rubi Ahmad, and Eric H. Y. Koh. "Does credit rating agency reputation matter in China’s local government bond market?" PLOS ONE 17, no. 9 (2022): e0274828. http://dx.doi.org/10.1371/journal.pone.0274828.

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All issuers in China’s local government bond market, which is nascent but growing rapidly, have the same AAA ratings. However, we provide evidence that the credit rating agency’s reputation can certify differences in ratings’ reliability and further impact bond pricing. On the basis of a sample of 7941 local government bonds issued from 2015 to 2021, results show that risk premium is significantly low for bonds rated by prestigious credit rating agencies, which means that issuers can save borrowing costs. Moreover, local governments regarded as less transparent in fiscal information disclosure

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Chen, Yungui, Li Feng, Qinglin Zhao, Liwei Tian, and Lei Yang. "ARS-Chain: A Blockchain-Based Anonymous Reputation-Sharing Framework for E-Commerce Platforms." Mathematics 12, no. 10 (2024): 1480. http://dx.doi.org/10.3390/math12101480.

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E-commerce platforms incorporate reputation systems that allow buyers to rate sellers after transactions. However, existing reputation systems face challenges such as privacy leakage, linkability, and multiple rating attacks. The feedback data can inadvertently expose user information privacy because they reveal the buyers’ identities and preferences, which deters a significant number of users from providing their ratings. Moreover, malicious actors can exploit data analysis and machine learning techniques to mine user privacy from the rating data, posing serious threats to user security and t

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Hoppe-Wewetzer, Heidrun, and Christian Siemering. "Advertisement-financed credit ratings." Journal of Economics and Finance 46, no. 1 (2021): 188–206. http://dx.doi.org/10.1007/s12197-021-09562-8.

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AbstractThis paper investigates the incentives of a credit rating agency (CRA) to generate accurate ratings under an advertisement-based business model. To this end, we study a two-period endogenous reputation model in which a CRA can increase the precision of its ratings by exerting effort. The CRA receives a revenue not from rating fees, as is standard in the literature, but through online advertising. We show that the advertisement-based business model provides sufficient incentives for the CRA to improve the precision of signals at intermediate levels of reputation. Furthermore, we identif

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SHAEKHOV, M. R. "THE METHOD OF TYPOLOGIZING REGIONS BY THE LEVEL OF ECONOMIC REPUTATION." MANAGING SUSTAINABLE DEVELOPMENT, no. 1 (2024): 22–28. https://doi.org/10.55421/2499992x_2024_1_22.

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The methodology for assessing the level of economic reputation of regions is a young field of research, characterized by limited integrated approaches and deserves attention. The methodological potential of reputation diagnostics has not been disclosed widely enough. This study is aimed at developing ways to measure the reputation economy. The purpose of the study is to classify regions based on the development and testing of methodological tools for diagnosing the level of economic reputation. The objectives of the study are as follows: clarification of the diagnostic algorithm (including for

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Wu, Leilei, Zhuoming Ren, Xiao-Long Ren, Jianlin Zhang, and Linyuan Lü. "Eliminating the Effect of Rating Bias on Reputation Systems." Complexity 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/4325016.

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The ongoing rapid development of the e-commercial and interest-base websites makes it more pressing to evaluate objects’ accurate quality before recommendation. The objects’ quality is often calculated based on their historical information, such as selected records or rating scores. Usually high quality products obtain higher average ratings than low quality products regardless of rating biases or errors. However, many empirical cases demonstrate that consumers may be misled by rating scores added by unreliable users or deliberate tampering. In this case, users’ reputation, that is, the abilit

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NEFEDOV, S. A. "CITATION AND REPUTATION RATING OF HISTORIANS." History and Modern Perspectives 5, no. 2 (2023): 128–32. http://dx.doi.org/10.33693/2658-4654-2023-5-2-128-132.

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The article is devoted to the analysis of the relationship between the citation of historians and the expertly determined reputation rating. Comparative shortcomings of scientometrics and expert assessments are noted. Using the scale of reputation ratings based on the results of a sociological survey conducted by M. M. Sokolov and the data of the Russian Science Citation Index (RSCI), the author calculates the Spearman rank correlation coefficients between these indicators. At the same time, it turns out that there is no correlation between reputation with a five-year total citation according

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Ahmadian, Sajad, Mohsen Afsharchi, and Majid Meghdadi. "An effective social recommendation method based on user reputation model and rating profile enhancement." Journal of Information Science 45, no. 5 (2018): 607–42. http://dx.doi.org/10.1177/0165551518808191.

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Trust-aware recommender systems are advanced approaches which have been developed based on social information to provide relevant suggestions to users. These systems can alleviate cold start and data sparsity problems in recommendation methods through trust relations. However, the lack of sufficient trust information can reduce the efficiency of these methods. Moreover, diversity and novelty are important measures for providing more attractive suggestions to users. In this article, a reputation-based approach is proposed to improve trust-aware recommender systems by enhancing rating profiles o

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18

Kharamurza, Daria, and Viktoriia Soshynska. "GLOBAL TRENDS IN REPUTATION MANAGEMENT." Integrated communications 18, no. 2 (2024): 116–23. https://doi.org/10.28925/2524-2644.2024.1815.

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The article is devoted to the analysis of global trends in reputation management. The authors studied current world rankings, analyzed reputation studies, and identified the main reputational risks affecting reputation management and forming a company's anti-crisis communication strategy. The article provides data on a comparative analysis of the leaders of the Global RepTrak 100 rating for 2020–2024. Companies that lead this rating yearly and have a strong positive reputation among stakeholders are identified. It was determined that among the global trends in intangible asset management that

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19

Bizzotto, Jacopo, and Adrien Vigier. "Fees, Reputation, and Information Production in the Credit Rating Industry." American Economic Journal: Microeconomics 13, no. 2 (2021): 1–34. http://dx.doi.org/10.1257/mic.20180170.

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We compare a credit rating agency’s incentives to acquire costly information when it is only paid for giving favorable ratings to the corresponding incentives when the agency is paid up-front, i.e., irrespective of the ratings assigned. We show that, in the presence of moral hazard, contingent fees provide stronger dynamic incentives to acquire information than up-front fees and may induce higher social welfare. When the fee structure is chosen by the agency, contingent fees arise as an equilibrium outcome, in line with the way the market for credit rating actually works. (JEL D21, D82, D83, G

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Ginesti, Gianluca, Adele Caldarelli, and Annamaria Zampella. "Exploring the impact of intellectual capital on company reputation and performance." Journal of Intellectual Capital 19, no. 5 (2018): 915–34. http://dx.doi.org/10.1108/jic-01-2018-0012.

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Purpose The purpose of this paper is to analyse the impact of intellectual capital (IC) on the reputation and performance of Italian companies. Design/methodology/approach The paper exploits a unique data set of 452 non-listed companies that obtained a reputational assessment from the Italian Competition Authority (ICA). To test the hypotheses, this study implemented several regression analyses. Findings Results support the argument that human capital efficiency is a key driver of corporate reputation. Findings also reveal that companies, which obtained reputational rating under ICA scrutiny,

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Liu, Xiao-Lu, and Chong Zhao. "A converging reputation ranking iteration method via the eigenvector." PLOS ONE 17, no. 10 (2022): e0274567. http://dx.doi.org/10.1371/journal.pone.0274567.

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Ranking user reputation and object quality in online rating systems is of great significance for the construction of reputation systems. In this paper we put forward an iterative algorithm for ranking reputation and quality in terms of eigenvector, named EigenRank algorithm, where the user reputation and object quality interact and the user reputation converges to the eigenvector associated to the greatest eigenvalue of a certain matrix. In addition, we prove the convergence of EigenRank algorithm, and analyse the speed of convergence. Meanwhile, the experimental results for the synthetic netw

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Maskami, Sukma, Ramdani Bayu Putra, and Muhammad Pondrinal. "Bond Prices Through Bond Ranking As Intervening Variables: Liquidity, Leverage , Company Size, Auditor's Reputation." International Journal of Economics Development Research (IJEDR) 3, no. 2 (2022): 122–42. http://dx.doi.org/10.37385/ijedr.v3i2.418.

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The purpose of this study was to determine the effect of liquidity, leverage, firm size, auditor reputation and bond ratings on bond prices. This type of research data obtained from secondary data. The sample in this study were 48 companies listed on the Indonesia Stock Exchange using the random sampling method. The results of this study indicate that liquidity, leverage, firm size, auditor reputation have no effect on bond ratings and leverage, firm size, auditor reputation have a positive and significant effect on bond prices, while liquidity, leverage, firm size, auditor reputation affect b

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SLYUSARENKO, Olena. "MEASURING TOOLS QUALITIES OF EDUCATIONAL ACTIVITIES IN THE CONTEXT OF ENSURING EFFICIENCY UNDER THE CONDITIONS OF THE STATE OF WAR AND POST-WAR RECONSTRUCTION OF THE COUNTRY." Cherkasy University Bulletin: Pedagogical Sciences, no. 2 (2023): 5–14. http://dx.doi.org/10.31651/2524-2660-2023-2-5-14.

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Summary. This article the determined that there are various mechanisms for assessing the quality of educa-tional activity of higher education institutions: accredita-tion, framework and rating, but university ratings are the most optimal mechanism for measuring the quality of educational activity in the context of ensuring its effec-tiveness. The indicators for measuring the quality of edu-cational activity used in the Standards and Guidelines for Quality Assurance in the European Higher Education Area (ESG), the European Teaching Rankings (THE Europe Teaching Rankings) were analyzed the Shang

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Sushchenko, Olena, and Serhii Chaikovskyi. "Features of Defining and Provision the Tourism Enterprise Business Reputation." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 12(45) (2024): 149–61. https://doi.org/10.32515/2663-1636.2024.12(45).149-161.

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This article is dedicated to the study of the peculiarities of defining and provisioning the tourism enterprises business reputation in modern conditions. Reputation is one of the key intangible assets of a company, directly influencing its competitiveness, customer trust, and financial stability. In the context of globalization, digitalization of business, and the active development of social media, reputation management has become critically important for tourism enterprises. The study examines the key factors influencing the formation of business reputation, including service quality, corpo

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Michael, Michael, and Hamfri Djajadikerta. "PENGARUH TINGKAT KEBERLANJUTAN SERTA REPUTASI KAP TERHADAP PERINGKAT KREDIT PERUSAHAAN." Jurnal Akuntansi Kontemporer 13, no. 2 (2021): 96–108. http://dx.doi.org/10.33508/jako.v13i2.2759.

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Research Purposes. This study aims to determine the impact of the level of sustainability and reputation of KAP that can affect the assessment results of the credit rating process carried out by PEFINDO. Research Methods. In this study, the ordinal logistic regression analysis model is used to determine the probability of obtaining a credit rating for a company. Financial variable is described through level of sustainability prediction as calculated by using the value of the Altman Z-Score, while non-financial variable is described through the reputation of the KAP. There were 25 samples of co

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Arundina, Tika, and Dato’ Mohd Azmi Omar. "DETERMINANT OF SUKUK RATINGS." Buletin Ekonomi Moneter dan Perbankan 12, no. 1 (2010): 97–114. http://dx.doi.org/10.21098/bemp.v12i1.468.

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With the development of sukuk market as the Islamic alternatives of the existing bond market, the issue of how to assign a rating to the sukuk issuance rises. This study tries to provide an empirical foundation for the investors to estimate the ratings assign. Using approach from several rating agencies, past researches on bond ratings, financial distress prediction and bankruptcy prediction models, this study is trying to innovate a new model on determining the sukuk ratings. It used Multinomial Logit regression to create a model of rating probability from several theoretical variables, ie. f

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KANIUKA, Volodymyr. "ANALYSIS OF BUSINESS REPUTATION’S COMPONENTS OF UKRAINIAN BUSINESS." Bulletin of East European University of Economics and Management, no. 1(31) (2024): 30–41. https://doi.org/10.58253/2078-1628-2024-1(31)-003.

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The article analyzes the components of the business reputation of Ukrainian business. The set tasks of the research were as follows: on the basis of the indicated relevance and need for the analysis of business reputation, to determine the contributions of individual scientists and experts to the theoretical foundations of the analysis of the components of business reputation; choose a certain set of components of the business reputation of companies suitable for analysis; conduct an analysis of the rating positions of domestic companies based on a selected list of elements of business reputat

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Ozerov, Sergey, Yulia Filina, and Elmira Zhusipova. "Reputational Capital and Company’s Reputational Capital Management." Regionalnaya ekonomika. Yug Rossii, no. 1 (April 2024): 127–39. https://doi.org/10.15688/re.volsu.2024.1.13.

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Currently, the number of firms in Russia is growing, consistently implementing a system of corporate standards to increase the level of trust of persons interested in the company by increasing the efficiency of the process of formation, development, and growth of the company’s reputational capital. The purpose of the article is to offer recommendations for determining the business reputation of a company. The following methods were used: graphical, tabular, economic, and analytical ones. The economic category of “reputational capital,” its influence on the activities of the enterprise, and its

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Sun, Hong-Liang, Kai-Ping Liang, Hao Liao, and Duan-Bing Chen. "Evaluating user reputation of online rating systems by rating statistical patterns." Knowledge-Based Systems 219 (May 2021): 106895. http://dx.doi.org/10.1016/j.knosys.2021.106895.

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Qian, Fulan, Shu Zhao, Jie Tang, and Yanping Zhang. "SoRS: Social recommendation using global rating reputation and local rating similarity." Physica A: Statistical Mechanics and its Applications 461 (November 2016): 61–72. http://dx.doi.org/10.1016/j.physa.2016.05.025.

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Shin, Daniel, and Denis Darpy. "Rating, review and reputation: how to unlock the hidden value of luxury consumers from digital commerce?" Journal of Business & Industrial Marketing 35, no. 10 (2020): 1553–61. http://dx.doi.org/10.1108/jbim-01-2019-0029.

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Purpose Product ratings and reviews are popular tools to support buying decisions of consumers. Many e-commerce platforms now offer product ratings and reviews as ratings and reviews are valuable for online retailers. However, luxury goods industry is somewhat slow to adapt to the digital terrain. The purpose of this paper is to answer “how luxury consumers see user-generated product ratings and reviews for their online shopping experience and what important factors or values are perceived by the luxury consumers when they shop online?” Design/methodology/approach To understand how luxury cons

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Zou, Hong, Tian Wang, Li Hao Wei, and Lei Cui. "A Trust Model Award Content Security and Rating Supervision Model." Advanced Materials Research 655-657 (January 2013): 1765–69. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1765.

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With the rapid expansion of negative information in the Internet, the content rating technology is developed. This paper proposed a rating supervision model based on content rating considering trust model. We firstly analyze the behavior and reputation of network entities from the following dimensions: data dimension, time dimension and application dimension, and then applied artificial neural network to construct the trust model referred to the trust relationship in human society network. At last, we proposed the rating supervision model based on the trust model. It is proved that the rating

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Collodi, Stefania, Sara Panerati, Enrico Imbimbo, Federica Stefanelli, Mirko Duradoni, and Andrea Guazzini. "Personality and Reputation: A Complex Relationship in Virtual Environments." Future Internet 10, no. 12 (2018): 120. http://dx.doi.org/10.3390/fi10120120.

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Online reputational systems are nowadays widely and effectively adopted by several online platforms to support and improve peoples’ interactions and communication. Despite the research approached and modeled social dynamics of reputational systems in different domains, adopting different frameworks, the role played by psycho-social factors, and personality traits, determining the individual susceptibility to online reputation is still elusive. To study such mediation effects, we implemented a modified online version of the Ultimatum Game, in which participants (215 adolescents) played before a

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Arundina, Tika, and Dato’ Mohd Azmi Omar. "FAKTOR PENENTU PERINGKAT SUKUK." Buletin Ekonomi Moneter dan Perbankan 12, no. 1 (2010): 105–23. http://dx.doi.org/10.21098/bemp.v12i1.351.

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With the development of sukuk market as the Islamic alternatives of the existing bond market, the issue of how to assign a rating to the sukuk issuance rises. This study tries to provide an empirical foundation for the investors to estimate the ratings assign. Using approach from several rating agencies, past researches on bond ratings, financial distress prediction and bankruptcy prediction models, this study is trying to innovate a new model on determining the sukuk ratings. It used Multinomial Logit regression to create a model of rating probability from several theoretical variables, ie. f

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Liu, Xiao-Lu, Shu-Wei Jia, and Yan Gu. "Empirical analysis of the user reputation and clustering property for user-object bipartite networks." International Journal of Modern Physics C 30, no. 05 (2019): 1950035. http://dx.doi.org/10.1142/s0129183119500359.

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User reputation is of great significance for online rating systems which can be described by user-object bipartite networks, measuring the user ability of rating accurate assessments of various objects. The clustering coefficients have been widely investigated to analyze the local structural properties of complex networks, analyzing the diversity of user interest. In this paper, we empirically analyze the relation of user reputation and clustering property for the user-object bipartite networks. Grouping by user reputation, the results for the MovieLens dataset show that both the average clust

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Jung, Yun Yeong, and Rae Soo Park. "The Effect of Information Asymmetry and CRA’s Reputation on Bond Yield Spread." Journal of Derivatives and Quantitative Studies 26, no. 2 (2018): 217–45. http://dx.doi.org/10.1108/jdqs-02-2018-b0003.

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This paper investigates the effects of information asymmetry and Credit Rating Agency's reputation on bond yield spread, which is caused by the split bond rating of CRAs. For analysis, We do multivariate analysis, using bond rating and bond yield spread data in Korea from 2004 to 2015. The empirical results are as follows. First, we examines whether information asymmetry affects the bond yield spread. using split rating data. As a result, the information asymmetry measured by split rating variable is significant, which supports the information asymmetry hypothesis. Additionally we can find bon

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Subakti, Agung Gita. "Overview the Seven Stars Rating in Hotel Industry." Binus Business Review 3, no. 2 (2012): 691. http://dx.doi.org/10.21512/bbr.v3i2.1354.

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Picking the right hotel can be tricky especially in today’s world of multiple rating systems. A luxury hotel rating once topped out at five stars but in the war to snag vacationers certain hotels that sing tunes of opulence and luxurious pleasure have started to accumulate seven stars. Star rating systems vary from continentto continent, country to country, and in a country. Hotel ratings have become a subjective assessment of amenities depending on the hotel and location. But the big question that is how they rate a seven stars Hotel. What makes it different from five stars Hotel or any fine

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Mathis, Jérôme, James McAndrews, and Jean-Charles Rochet. "Rating the raters: Are reputation concerns powerful enough to discipline rating agencies?" Journal of Monetary Economics 56, no. 5 (2009): 657–74. http://dx.doi.org/10.1016/j.jmoneco.2009.04.004.

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Wu, Qingtao, Xulong Zhang, Mingchuan Zhang, Ying Lou, Ruijuan Zheng, and Wangyang Wei. "Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/617087.

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The trust levels of cloud services should be evaluated to ensure their reliability. The effectiveness of these evaluations has major effects on user satisfaction, which is increasingly important. However, it is difficult to provide objective evaluations in open and dynamic environments because of the possibilities of malicious evaluations, individual preferences, and intentional praise. In this study, we propose a novel unfair rating filtering method for a reputation revision system. This method uses prior knowledge as the basis of similarity when calculating the average rating, which facilita

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Makeeva, Elena Y., Irina V. Ivashkovskaya, Liudmila S. Ruzhanskaya, and Konstantin A. Popov. "Relationship between Regional Socio-Economic Development and Corporate Ratings of Russian Companies." Economy of Region 17, no. 1 (2021): 86–102. http://dx.doi.org/10.17059/ekon.reg.2021-1-7.

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The search for new sources of regional development is important due to the slowdown in economic growth and the need to shift the emphasis of industrial policy from the macro level to the level of regions and individual companies. In this regard, we consider the participation of companies in reputation ratings as a new source for increasing the investment attractiveness of regions. Additionally, we examine the relationship between corporate and regional ratings: corporate ratings demonstrate a company’s compliance with the sustainable development goals, which, in turn, improves the socio-econom

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Rosenthal, Sonny, Jean Yi Colette Tan, and Ting Fang Poh. "Reputation Cues as Signals in the Sharing Economy." Social Sciences 9, no. 4 (2020): 49. http://dx.doi.org/10.3390/socsci9040049.

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Reputation cues, like star ratings, signal qualities of service providers in the sharing economy and may affect user behavior. Guided by concepts from signaling theory and using a repeated measures experiment (N = 221), this study manipulated the level of star ratings of ride sharing drivers. Intuitive findings are perceived service quality and willingness to use the service provider are higher when the star rating is high versus low. Extending prior work, perceived service quality mediates the effect of reputation on willingness, explaining 83% of the total effect. Also, the direct effect of

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Bakhsh, Allah, Muhammad Hanif Akhtar, and Adeel Akhtar. "Impact of Corporate Reputation on Firm Risk: An Analysis of Pakistan Stock Exchange Listed and PACRA Rated Firms." Review of Economics and Development Studies 5, no. 2 (2019): 365–72. http://dx.doi.org/10.26710/reads.v5i2.622.

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This study has examined the impact of corporate reputation on risk exposure of the firms listed at Pakistan Stock Exchange (PSX) and rated by Pakistan Credit Rating Agency (PACRA). It has employed firm’s credit ratings as a proxy for corporate reputation. It has covered the time period from 2007-2016 and unbalanced and undated panel regression analysis has been carried out to observe the significance of the relationship among corporate reputation and the firm risk i.e. total risk and its parts (systematic and unsystematic risk). It has been found that corporate reputation has a significant neg

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Sethuraman, Mani. "The Effect of Reputation Shocks to Rating Agencies on Corporate Disclosures." Accounting Review 94, no. 1 (2018): 299–326. http://dx.doi.org/10.2308/accr-52114.

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ABSTRACT This paper explores the effect of a credit rating agency's (CRA) reputation on the voluntary disclosures of corporate bond issuers. Academics, practitioners, and regulators disagree on the informational role played by major CRAs and the usefulness of credit ratings in influencing investors' perception of the credit risk of bond issuers. Using management earnings forecasts as a measure of voluntary disclosure, I find that investors demand more (less) disclosure from corporate bond issuers when the ratings become less (more) credible. In addition, using content analytics, I find that bo

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Ren, Junqiushi. "Effects of Reputation on Daily Deal Promotions: Evidence from Groupon." Mathematical Problems in Engineering 2020 (December 3, 2020): 1–8. http://dx.doi.org/10.1155/2020/8855783.

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Daily deals are nowadays very popular. As a new form of marketing, they allow local small businesses to sell vouchers at substantial price discounts for a very limited period of time. However, it is unclear whether and to what extent a seller’s online reputation affects the outcomes of its daily deal promotions. This paper presents an analysis of 4060 daily deals scraped from Groupon. The empirical results suggest that (1) business reputation, measured by displayed average rating, is positively associated with the sales of vouchers; (2) business reputation has no significant relationship with

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Liao, Hao, An Zeng, Rui Xiao, Zhuo-Ming Ren, Duan-Bing Chen, and Yi-Cheng Zhang. "Ranking Reputation and Quality in Online Rating Systems." PLoS ONE 9, no. 5 (2014): e97146. http://dx.doi.org/10.1371/journal.pone.0097146.

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Pranoto, Galih Estu, Ratna Anggraini, and Erika Takidah. "PENGARUH PROFITABILITAS, UKURAN PERUSAHAAN, PRODUKTIVITAS, DAN REPUTASI AUDITOR TERHADAP PERINGKAT SUKUK." Jurnal Wahana Akuntansi 12, no. 1 (2017): 13. http://dx.doi.org/10.21009/wahana.012/1.2.

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The purpose of this research is to find out the effect between the profitability, firm size, productivity, and auditor reputation toward rating sukuk. Rating sukuk is the dependent variables in this research were measured by scoring technique based on Pefindo’s rating. For the independent variables in this research, using profitability were measured by return of equity ratio, firm size were measured by natural logarithm of total asset, productivity were measured by comparison sales with employees, auditor reputation using dummy method. This research using secondary data which is non bank compa

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Pranoto, Galih Estu, Ratna Anggraini, and Erika Takidah. "The influence of profitability, firm size, productivity and reputation of the auditor on the rating of Sukuk." Jurnal Wahana Akuntansi 12, no. 1 (2017): 13–27. http://dx.doi.org/10.21009/wahana.12.012.

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The purpose of this research is to find out the effect between the profitability, firm size, productivity, and auditor reputation toward rating sukuk. Rating sukuk is the dependent variables in this research were measured by scoring technique based on Pefindoâ€™s rating. For the independent variables in this research, using profitability were measured by return of equity ratio, firm size were measured by natural logarithm of total asset, productivity were measured by comparison sales with employees, auditor reputation using dummy method. This research using secondary data which is non bank com

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Rohani, Rohani, Andi Hadidu та Manda HM. "Consumer Behavior: Components of Purchase Intention Products E-Commerce Perspective Maqāṣid Al-Sharīʿah". JESI (Jurnal Ekonomi Syariah Indonesia) 13, № 2 (2023): 198. http://dx.doi.org/10.21927/jesi.2023.13(2).198-209.

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<p>Technological developments have led to changes in consumer shopping behavior from offline to online, leading to the emergence of various online marketplace platforms. The research discusses the influence of electronic of mouth (e-Wom), consumer rating, and reputation on product purchase intention in Shopee e-commerce. The population is Shopee customers, determining the sample with nonprobability techniques - purposive sampling with a sample size of 115 respondents. Analysis and hypothesis using the Structural Equation Model - Partial Least Square (SEM-PLS) method. The findings show th

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Chung, Kevin, Keehyung Kim, and Noah Lim. "Social Structures and Reputation in Expert Review Systems." Management Science 66, no. 7 (2020): 3249–76. http://dx.doi.org/10.1287/mnsc.2019.3347.

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We model an expert review system where two producers competing for market share each are evaluated by two raters. Employing economics experiments, the paper examines how the rater’s incentive to provide objective feedback can be distorted in the presence of social ties and different penalty structures for assigning unobjective ratings. The results reject the self-interested model. We find that raters assign more biased ratings to help the producer they know compete, and this distortion is exacerbated when the reputation cost for rating unobjectively is lowered. Counterintuitively, when both of

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Chen, Jianping, Nadine Tournois, and Qiming Fu. "Price and its forecasting of Chinese cross-border E-commerce." Journal of Business & Industrial Marketing 35, no. 10 (2020): 1605–18. http://dx.doi.org/10.1108/jbim-01-2019-0017.

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Purpose Cross-border e-commerce in China has been booming in recent years. This paper aims to study pricing in Chinese cross-border e-commerce companies and focuses on the baby food market, which is simply examined as a case study to highlight broader implications. In this intensely competitive sector, the biggest challenge faced by such companies is ensuring that they are in a position to be able set prices in the short-term to maximize their competitive advantage and profitability. The study of pricing will help management to make correct operational decisions. Design/methodology/approach Th

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