Relevant bibliographies by topics / Reputation rating

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reputation rating'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Reputation rating"

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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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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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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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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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Dissertations / Theses on the topic "Reputation rating"

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Lorecchio, Caio Paes Leme. "Bad reputation with rating systems." reponame:Repositório Institucional do FGV, 2017. http://hdl.handle.net/10438/18310.

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Submitted by Caio Paes Leme Lorecchio (caio.lorecchio@gmail.com) on 2017-06-07T16:01:31Z No. of bitstreams: 1 Bad Reputation with Rating Systems.pdf: 556649 bytes, checksum: 01e7c1222ac8b0ed3258d714f7adc3b2 (MD5)<br>Rejected by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br), reason: Boa tarde Caio, Por favor, tirar o acento da palavra Getulio em todas as páginas, Agradecimento/Resumo/Abstract em caixa alta, letra padrão ABNT ou APA (capa.....) e tirar a linha do cabeçalho conforme conversamos. Abs. Suzi 3799-7876 on 2017-06-07T18:39:31Z (GMT)<br>Submitted by Caio Paes Leme Lorecc
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Ismail, Roslan. "Security of reputation systems." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15964/1/Roslan_Ismail_Thesis.pdf.

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Reputation systems have the potential of improving the quality of on-line markets by identifying fraudulent users and subsequently dealing with these users can be prevented. The behaviour of participants involved in e-commerce can be recorded and then this information made available to potential transaction partners to make decisions to choose a suitable counterpart. Unfortunately current reputation systems suffer from various vulnerabilities. Solutions for many of these problems will be discussed. One of the major threats is that of unfair feedback. A large number of negative or positi
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Ismail, Roslan. "Security of reputation systems." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15964/.

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Reputation systems have the potential of improving the quality of on-line markets by identifying fraudulent users and subsequently dealing with these users can be prevented. The behaviour of participants involved in e-commerce can be recorded and then this information made available to potential transaction partners to make decisions to choose a suitable counterpart. Unfortunately current reputation systems suffer from various vulnerabilities. Solutions for many of these problems will be discussed. One of the major threats is that of unfair feedback. A large number of negative or positi
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Zhou, Xin. "Robust Reputation System for Web Services." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217204.

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Šrůma, Martin. "Towards an EU rating agency." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201909.

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This paper contributes to the literature by presenting a detailed summary of existing problems with credit rating agencies and proposing a model of a European Rating Agency that acts as a competitor and benchmark to the established credit rating agencies. European Rating Agency (ERA) as a new entrant will make a difference by increasing rating transparency and reputation cost for rating agencies at the same time. A vital point when developing the idea of an independent rating agency was the minimization of regulation changes. This will help shareholder to better orientate and understand the fu
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Abdel-Hafez, Ahmad J. "Reputation model based on rating data and application in recommender systems." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/93808/1/Ahmad_Abdel-Hafez_Thesis.pdf.

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This thesis introduced two novel reputation models to generate accurate item reputation scores using ratings data and the statistics of the dataset. It also presented an innovative method that incorporates reputation awareness in recommender systems by employing voting system methods to produce more accurate top-N item recommendations. Additionally, this thesis introduced a personalisation method for generating reputation scores based on users' interests, where a single item can have different reputation scores for different users. The personalised reputation scores are then used in the propos
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Trouillet, Julien. "Credit Rating Agencies." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED045/document.

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Les agences de notations ont récemment été l'objet d'une grande attention. Leur responsabilité dans la crise des subprimes a été questionné. Les médias ont mis en avant les notes trop généreuses qui avaient été attribué à certains produits complexes, avant de s'interroger sur leur comportement quand elles ont dégradé les notes des dettes souveraines. Dans cette thèse, après avoir revu une partie de la littérature sur le sujet, je m'interroge sur deux aspects spécifique de leur activité:(i) Quels sont les conséquences de confier une information publique (comme une note de crédit) à une entité p
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Liu, Jing. "The impact of credit rating watchlist and effect of underwriter reputation on IPO underpricing." [Ames, Iowa : Iowa State University], 2007.

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Mukherjee, Suranjita. "Reputation, return and credit rating differences between family and non-family firms in the UK." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494960.

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The objective of the thesis is to develop research relating to family firms in the UK. To shed some light on this research topic a sample of 199 public family firms is identified and matched with a set of non-family firms based on three criteria - Stock-market listing, Size and Sector. I investigate the reputation, return, governance and credit rating differences between family and non-family firms in the UK. Family firm researchers have found a host of characteristics that are unique to family firms and are often taken as plausible explanations for governance and operational differences betwe
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Baka, Vasiliki. "The becoming of social media : the role of rating, ranking and performativity in organizational reputation-making." Thesis, London School of Economics and Political Science (University of London), 2012. http://etheses.lse.ac.uk/629/.

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This thesis explores the concept of reputation-making with the aim of explaining how the rise of user-generated content websites has influenced organizational reputationmaking practices in the travel sector. The findings are based upon a corpus of data including: a field study at the offices of the largest travel user-generated website operator, TripAdvisor and an adaptation of virtual ethnography called “netnography”. Rating and ranking of hotels on social media websites has not only disturbed the established reputation-making practices of professionals in the travel sector and contributed to
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Books on the topic "Reputation rating"

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Todd, Milbourn, and Harvard Business School, eds. Reputation and competition: Evidence from the credit rating industry. Harvard Business School, 2008.

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Covitz, Daniel M. Testing conflicts of interest at bond rating agencies with market anticipation: Evidence that reputation incentives dominate. Federal Reserve Board, 2003.

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Standifird, Stephen. Reputation and e-commerce: EBay auctions and the asymmetrical impact of positive and negative ratings. Elsevier Science Inc., 2001.

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Everling, Oliver. Social Credit Rating: Reputation und Vertrauen beurteilen. Springer Gabler, 2020.

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Walden, Randy. Learn How To Manage and Market Your Business Online Reputation: Star Rating is the #1 Factor Used By Consumers to Judge a Business. CreateSpace Independent Publishing Platform, 2015.

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Espeland, Wendy Nelson, and Michael Sauder. Engines of Anxiety: Academic Rankings, Reputation, and Accountability. Russell Sage Foundation, 2016.

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Espeland, Wendy Nelson, Michael Sauder, and Wendy Espeland. Engines of Anxiety: Academic Rankings, Reputation, and Accountability. Russell Sage Foundation, 2016.

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Olmeda, José A., and César Colino. Leadership Capital in a Protracted Crisis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198783848.003.0011.

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The last Spanish prime ministers, Zapatero and Rajoy, have had to deal with the effects of the 2007 economic crisis. The Leadership Capital Index is used to analyze their respective leaderships and shows how both leaders used, gained, or lost capital while seeking to deal with the severe disruption it caused. The shape of the two trajectories that emerge are very different: Zapatero, a popular and populist transformative leader, rapidly loses capital in a “cascade” while the right-wing, cautious delegator Rajoy preserves and incrementally increases his. Both leaders failed the ultimate elector
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Book chapters on the topic "Reputation rating"

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Arouna, Hospice Alfred, Lionel Metongnon, and Marc Lobelle. "Reputation Rating Algorithm for BGP Links." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98827-6_33.

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Guo, Hang, Ji Gao, and Ping Xu. "RRF: A Double-Layer Reputation Mechanism with Rating Reputation Considered." In Advances in Machine Learning and Cybernetics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11739685_2.

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Dai 戴昕, Xin. "Toward A Reputation State: A Comprehensive View of China’s Social Credit System Project." In Social Credit Rating. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29653-7_7.

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Cankaya, Serkan. "Does Reputation still Matter to Credit Rating Agencies?" In Contributions to Economics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47021-4_31.

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Palm, Thomas. "Bedeutung der „Reputation“ im Marktauftritt des Rating Advisors." In Handbuch Ratingpraxis. Gabler Verlag, 2004. http://dx.doi.org/10.1007/978-3-322-90364-8_4.

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Rezvani, Mohsen, and Mojtaba Rezvani. "A Robust and Fast Reputation System for Online Rating Systems." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68786-5_14.

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Liu, An, Qing Li, Xiaofang Zhou, Lu Li, Guanfeng Liu, and Yunjun Gao. "Rating Propagation in Web Services Reputation Systems: A Fast Shapley Value Approach." In Database Systems for Advanced Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05810-8_31.

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Rezvani, Mohsen, Mohammad Allahbakhsh, Lorenzo Vigentini, Aleksandar Ignjatovic, and Sanjay Jha. "An Iterative Algorithm for Reputation Aggregation in Multi-dimensional and Multinomial Rating Systems." In ICT Systems Security and Privacy Protection. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18467-8_13.

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Lajoie-Mazenc, Paul, Emmanuelle Anceaume, Gilles Guette, Thomas Sirvent, and Valérie Viet Triem Tong. "Privacy-Preserving Reputation Mechanism: A Usable Solution Handling Negative Ratings." In Trust Management IX. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18491-3_7.

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Tucker, William H. "Meritocracy: Places, Everyone!" In Palgrave Studies in the Theory and History of Psychology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41614-9_2.

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AbstractAlthough The BellCurve represented Murray’s first published discussion of genes and intelligence—as tactical support for his preferred policies ending assistance to the poor—his co-author had been writing on the topic for more than two decades. Herrnstein’s initial interest in intelligence marked a radical departure from his previous work. As a Harvard graduate student in the early 1950s, he had studied with the famous behaviorist B.F. Skinner, specializing in operant conditioning with pigeons. Appointed to a junior faculty position at Harvard in 1958, he received promotion and tenure
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Conference papers on the topic "Reputation rating"

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Xiaojiang Lei and Xueming Qian. "Rating prediction via exploring service reputation." In 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2015. http://dx.doi.org/10.1109/mmsp.2015.7340814.

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Rafael de Oliveira Rodrigues, Bruno, and José Maurício Costa. "Predicting Bug-Fixing Time with Rating Features - A Comparison Between Ratings and Reputations." In Computer on the Beach. Universidade do Vale do Itajaí, 2024. http://dx.doi.org/10.14210/cotb.v15.p030-037.

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ABSTRACTPredicting bug-fixing time plays an important role in allowing asoftware manager and team to make decisions about allocationof resources, prioritization and scheduling. Estimating the timeto fix a bug is not a simple task. In the literature, machine learning(ML) models have been proposed to help software managersdecide whether a bug might be fixed now or later. One featurehighlighted in ML models for predicting bug-fixing time is reporterreputation. However, these features are based on the participationof the reporter or developer in the project, but do not take intoaccount the time ta
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Fitriyah, Fury Khristianty, Wildan Wildan, and Sofik Handoyo. "Impact of Auditor Reputation on Sukuk Rating." In 1st International Conference on Islamic Ecnomics, Business and Philanthropy. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0007082203590363.

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Chen, Bee-Chung, Jian Guo, Belle Tseng, and Jie Yang. "User reputation in a comment rating environment." In the 17th ACM SIGKDD international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2020408.2020439.

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Zhou, Jian, Yu-Feng Liu, and Hong-Liang Sun. "A Reputation Ranking Method based on Rating Patterns and Rating Deviation." In 2022 5th International Conference on Data Science and Information Technology (DSIT). IEEE, 2022. http://dx.doi.org/10.1109/dsit55514.2022.9943923.

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Ping Xu, Ji Gao, and Hang Guo. "Rating Reputaion: A Necessary Consideration in Reputation Mechanism." In Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1526941.

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Li, Rong-Hua, Jeffery Xu Yu, Xin Huang, and Hong Cheng. "Robust Reputation-Based Ranking on Bipartite Rating Networks." In Proceedings of the 2012 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2012. http://dx.doi.org/10.1137/1.9781611972825.53.

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Zhou, Xin, Donghui Lin, and Toru Ishida. "Evaluating Reputation of Web Services under Rating Scarcity." In 2016 IEEE International Conference on Services Computing (SCC). IEEE, 2016. http://dx.doi.org/10.1109/scc.2016.35.

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Xu, Chang, Jie Zhang, and Zhu Sun. "Online Reputation Fraud Campaign Detection in User Ratings." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/541.

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Reputation fraud campaigns (RFCs) distort the reputations of rated items, by generating fake ratings through multiple spammers. One effective way of detecting RFCs is to characterize their collective behaviors based on rating histories.However, these campaigns are constantly evolving and changing tactics to evade detection.For example, they can launch early attacks on the items to quickly dominate the reputations.They can also whitewash themselves through creating new accounts for subsequent attacks.It is thus challenging for existing approaches working on historical data to promptly react to
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Abdel-Hafez, Ahmad, Yue Xu, and Audun Josang. "An accurate rating aggregation method for generating item reputation." In 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2015. http://dx.doi.org/10.1109/dsaa.2015.7344804.

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Reports on the topic "Reputation rating"

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Belahmidi, Claudia. Assessing ESG Impact in the Oil and Gas Industry: A Multi-Criteria Approach. King Abdullah Petroleum Studies and Research Center, 2025. https://doi.org/10.30573/ks--2025-dp08.

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The paper titled “Assessing ESG Impact in the Oil &amp; Gas Industry: A Multi-Criteria Approach” discusses the critical role of environmental, social, and governance (ESG) principles in the oil and gas sector, highlighting both challenges and opportunities. The document emphasizes the industry’s longstanding governance and social focus, with environmental concerns gaining prominence due to climate change pressures. ESG compliance is now essential for securing financial backing, with third-party ESG ratings influencing corporate reputations and capital allocation. The paper reviews internationa
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