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Horn, Richard, and Ralf Wagner. "Advancing reputation measurement: evolving toward improved quantitative assessments." Marketing Intelligence & Planning 38, no. 2 (July 24, 2019): 181–94. http://dx.doi.org/10.1108/mip-10-2018-0448.
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Purpose The purpose of this paper is to provide evidence on the information-gathering deficits in contemporary reputation measurement that are rooted in sampling and to obtain supporting information from respondents from various stakeholder groups. Design/methodology/approach In regard to social emergence theory, the authors examine the common practice of aggregating reputational judgments from randomly sampled respondents without considering their knowledge domains. A stereotyping experiment conducted in three countries provides evidence that lower-level reputations might vary, whereas higher-level reputations resulting from the social emergence process do not vary. Findings The findings demonstrate that researchers should consider respondents’ heterogeneity in regard to reputation measurement. Stakeholder judgments divergent from their domains of expertise often add noise, instead of informative answers, to the reputational categories. Research limitations/implications The social emergence process, in addition to the roles of the stakeholders, their interaction structures and the timing of their communication, needs to be incorporated into an improved reputation measurement method. Practical implications Not all information from the same respondent should be considered when computing a final reputation score. Respondents’ heterogeneity is revealed to be fundamental for reputational assessments. Originality/value This study is original in its examination of the validity of reputation assessment being restricted to lower-level descriptions of the supervenience relation. Building upon the results of the experiment conducted in three national framings, this paper suggests ways to improve reputation measurement.
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Luoma-aho, Vilma, María José Canel, and Juho Hakola. "Public sector reputation and netpromoter score." International Review on Public and Nonprofit Marketing 18, no. 3 (March 16, 2021): 419–46. http://dx.doi.org/10.1007/s12208-021-00280-9.
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AbstractReputation of public sector organizations is increasingly formed through Word of Mouth (WOM) as citizens and stakeholders share their experiences with others both online and offline. Understanding and measuring WOM is a challenge for many public sector organizations, who often resort to measurement tools designed for the private sector. This paper looks at a popular WOM measurement tool, namely the Net Promoter Score (NPS) in the context of public sector organizations. In this paper, we ask how well does the NPS describe public sector reputation, and look at what the different stakeholder groups categorized by NPS are like in the public sector. As an illustrative case, we report findings of a stakeholder reputation survey (n: 1198) conducted for a large Finnish ministry utilizing both established reputation measures and the NPS. Based on our findings, we conclude that the traditional NPS requires tailoring to match the public sector context, and propose “The Public Sector Net Promoter Score (PSNPS)” as a new measure for WOM in the public sector context.
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Cua, Santino, Susan Moffatt-Bruce, and Susan White. "Reputation and the Best Hospital Rankings: What Does It Really Mean?" American Journal of Medical Quality 32, no. 6 (February 1, 2017): 632–37. http://dx.doi.org/10.1177/1062860617691843.
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U.S. News & World Report’s annual Best Hospital Rankings are determined by an index of quality based on objective and subjective measures. This study investigates relationships between U.S. News score and its individual subjective and objective components that ultimately determine the relative ranking of the top 50 hospitals in the 2015 Best Hospital Rankings for the study’s selected specialties—cancer, cardiology, gastroenterology, neurology, and orthopedics. A 2-step linear regression model was employed; first, to control for objective components’ influence on U.S. News score ( R2 = 0.365; P < .001), then, to isolate the subjective component of reputation’s effect on U.S. News score ( R2 = 0.565; P < .001). The second model confirmed that reputation has a more significant influence on total U.S. News score than its objective counterparts. This indicates that a hospital’s U.S. News score and relative ranking in the Best Hospital Rankings may be disproportionately influenced by its reputation.
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Miklaszewska, Ewa, Krzysztof Kil, and Małgorzata Pawłowska. "Is reputational risk important for bank performance? Evidence from CEE-11 countries." Argumenta Oeconomica 2020, no. 2 (2020): 31–51. http://dx.doi.org/10.15611/aoe.2020.2.02.
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The 2007-2009 revealed the weaknesses of the growth foundation and failure of risk management systems in large global banks. Consequently, there has been renewed interest in the creation of stable and functional risk culture. Protecting a financial institution’s reputation is among the most significant challenges facing financial firms. Thus the aim of this paper is to analyze why reputational risk is important for banks, and to trace its sources and consequences. In the empirical part, the paper proposes a new method to measure reputational risk: Stakeholder Reputation Score (SRS). The panel regression models are used to examine the impact of the SRS indicator on bank performance, for listed banks in the CEE-11. The estimation results indicate that the efforts to enhance bank reputation may not have a positive effect on bank performance, which may explain why many banks deal with reputational risk mainly in the context of minimizing loss after a scandal, rather than treating it as a strategic, long-term goal
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Samuel Li, Xiangming. "Short or Long Review? - Text Analytics and Machine Learning Approaches to Online Reputation." International Journal of Business and Management Research 9, no. 1 (February 10, 2021): 28–40. http://dx.doi.org/10.37391/ijbmr.090105.
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This paper first constructs a numerical text review score by applying text analytics and machine learning techniques to more than three million online text reviews collected from the Airbnb platform. Next, we employ the text review score to analyze the effect of review length on text review score and obtain insights on the interplay between the text review length and online reputation. The main contributions of this paper include: experimenting with advanced text analytics and machine learning approaches to assess online reputation; constructing an innovative text review score as a new online reputation measure; building a large knowledge-based review corpus with labels; and obtaining important insights about the effects of text review length on online reputation. Further, it has managerial and business implications for all internet platform markets and the sharing economy players seeking to build more effective online reputation systems.
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Copiello, Sergio, and Pietro Bonifaci. "A few remarks on ResearchGate score and academic reputation." Scientometrics 114, no. 1 (November 14, 2017): 301–6. http://dx.doi.org/10.1007/s11192-017-2582-9.
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Battah, Ammar, Youssef Iraqi, and Ernesto Damiani. "Blockchain-Based Reputation Systems: Implementation Challenges and Mitigation." Electronics 10, no. 3 (January 26, 2021): 289. http://dx.doi.org/10.3390/electronics10030289.
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Reputation expresses the beliefs or opinions about someone or something that are held by an individual or by a community. Reputation Management Systems (RMSs) handle representation, computation, and storage of reputation in some quantitative form, suitable for grounding trust relations among parties. Quantifying reputation is important in situations, like online service provision, which involve interaction between parties who do not know (and potentially distrust) each other. The basic idea is to let parties rate each other. When a party is considered for interaction, its ratings can be aggregated in order to derive a score for deciding whether to trust it or not. While much valuable research work has been done on reputation-based trust schemes, the problem of establishing collective trust in the reputation management system itself has never been fully solved. Recently, several researchers have put forward the idea of using Distributed Ledger Technology (DLT) as the foundation for implementing trustworthy RMSs. The purpose of this paper is to identify some critical problems that arise when DLTs are used in order to manage evidence about previous interaction and compute reputations. The paper proposes some practical solutions and describes methods to deploy them on top of standard DLT of the Ethereum family.
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MARTINEZ-POLO, Josep M., and Jesús MARTÍNEZ-SÁNCHEZ. "REPUTATION AND TRUST IN SHARING ECONOMY PLATFORMS: THE CASE OF TRAITY." Annals of Spiru Haret University. Economic Series 18, no. 2 (June 29, 2018): 143–58. http://dx.doi.org/10.26458/1827.
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The concept of reputation is assiduously used in various fields such as communication, public relations, advertising, marketing and management. The convergence between the rise of new technologies linked to corporate communication has favoured the birth of what has been called online reputation. Thus, unprecedented behaviours have been generated that are establishing new social forms and even some authors speak of a new economy of reputation where society would be highly connected through networks and organizations that would operate in an ecosystem of permanent influence from the interest groups. With this premise, Traity arises the project that we analyzed in our research and that raises a reputational score that takes advantage of the fingerprint information to reproduce online trust as we understand it in the physical world, but without trying to reduce its people into a percentage, a number or some stars.
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Elmurngi, Elshrif Ibrahim, and Abdelouahed Gherbi. "Building Sentiment Analysis Model and Compute Reputation Scores in E-Commerce Environment Using Machine Learning Techniques." International Journal of Organizational and Collective Intelligence 10, no. 1 (January 2020): 32–62. http://dx.doi.org/10.4018/ijoci.2020010103.
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Online reputation systems are a novel and active part of e-commerce environments such as eBay, Amazon, etc. These corporations use reputation reporting systems for trust evaluation by measuring the overall feedback ratings given by buyers, which enables them to compute the reputation score of their products. Such evaluation and computation processes are closely related to sentiment analysis and opinion mining. These techniques incorporate new features into traditional tasks, like polarity detection for positive or negative reviews. The “all excellent reputation” problem is common in the e-commerce domain. Another problem is that sellers can write unfair reviews to endorse or reject any targeted product since a higher reputation leads to higher profits. Therefore, the purpose of the present work is to use a statistical technique for excluding unfair ratings and to illustrate its effectiveness through simulations. Also, the authors have calculated reputation scores from users' feedback based on a sentiment analysis model (SAM). Experimental results demonstrate the effectiveness of the approach.
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B.Pandule, Amruta, Poonam N. Railkar, and Parikshit N. Mahalle. "Review and Reputation based Trust Score Calculation for WLAN (RRTSC)." International Journal of Computer Applications 81, no. 3 (November 15, 2013): 6–11. http://dx.doi.org/10.5120/13990-2006.
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de Freitas Veneroso, João Mateus, Marlon Dias, Alberto Ueda, Sabir Ribas, Berthier Ribeiro-Neto, Nivio Ziviani, and Edmundo de Souza e Silva. "P-score: a reputation bibliographic index that complements citation counts." Scientometrics 121, no. 3 (September 28, 2019): 1269–91. http://dx.doi.org/10.1007/s11192-019-03247-0.
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Ponathil, Amal, Anand Gramopadhye, and Kapil Chalil Madathil. "Decision Aids in Online Review Portals: An Empirical Study Investigating Their Effectiveness in the Sensemaking Process of Online Information Consumers." Multimodal Technologies and Interaction 4, no. 2 (June 23, 2020): 32. http://dx.doi.org/10.3390/mti4020032.
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There is an increasing concern about the trustworthiness of online reviews as there is no editorial process for verification of their authenticity. This study investigated the decision-making process of online consumers when reacting to a review, with the reputation score of the reviewer and the number of previous reviews incorporated along with anonymous and non-anonymous reviews. It recruited 200 participants and developed a 3 × 2 × 2 × 2 × 2 mixed experimental study, with the independent variables being the reaction to a review of a restaurant at 3 levels, the reputation score at 2 levels, the number of previous reviews at 2 levels, the valence of the reviews at 2 levels, and the level of anonymity at 2 levels. Five dependent variables were analyzed: level of trust, likelihood of going to the restaurant, a choice question of whether to go to the restaurant, confidence in the decision and the NASA-TLX workload. This study found that the reputation scores complemented the reaction to a review, improving the trust in the information and confidence in the decision made. The findings suggest that incorporating a user rating scale such as the reputation score of a user deters people from writing false or biased reviews and helps improve their accuracy. Although no significant effect of level of anonymity was found in this study, additional personal information about the users writing the review such as photos or other social media links may make a significant difference in the decision-making process.
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Zhang, Chao. "Remote Medical Monitoring System in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 11 (November 24, 2016): 58. http://dx.doi.org/10.3991/ijoe.v12i11.6239.
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<p class="Abstract"><span lang="EN-US">In order to solve the problem of monitoring remote medical care to identify good medical services, a medical service recommendation system based on privacy-preserved reputation scoring is designed. This system enables medical service users to get a reputation score of a Medical Service Provider before engaging in any services. The experiment results show that the proposed scheme is significantly more efficient in batch verification of digital signatures, making it a suitable practical solution to Mobile Health Care applications, while the third solution shows that the system is able to provide reputation scores as well as recommendation while preserving privacy as desired.</span></p>
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Borhan Uddin Bhuiyan, Md, and Jill Hooks. "Operational “problem” directors and environmental performance." Sustainability Accounting, Management and Policy Journal 7, no. 2 (May 3, 2016): 268–94. http://dx.doi.org/10.1108/sampj-12-2014-0088.
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Purpose The way in which a firm’s actions are perceived by others is driven by the individual values and ethics of directors (Ntim and Soobaroyen, 2013). The purpose of this paper is to examine the effects of “problem” directors on the environmental performance of firms. The authors argue that if a board member has a tainted reputation, then environmental performance will be higher as the problem director seeks to rebuild his/her reputation. Design/methodology/approach The authors use a sample of the top 500 US companies for 2010 and 2011 and an ordinary least square (OLS) model to capture the impact of “problem” directors on environmental performance. The authors use an independent measure of environmental performance which includes three categories: environmental impact, environmental management (green policies) and environmental reputation (which is affected by disclosure). Findings The findings of this paper show that the average environmental impact score is 53.32 per cent, the environmental management green policy score is 35.39 per cent and environmental reputation is 49.86 per cent. A firm which is operated by a problem director has a higher score for environmental management and environmental reputation than non-problem director-affiliated firms. Firms which are managed by a problem director(s) have lower scores for environmental impact than non-problem director-affiliated firms in the USA, indicating a higher level of emissions, water use, waste disposal, etc. Practical implications The authors posit that problem directors promote environmental performance as a means to enhance their reputation and divert attention from allegations of previous poor professional behaviour. Regulators and investors should interpret the environmental performance of a firm with caution when a problem director is on the board. Originality/value Prior research on the relationship between environmental performance and corporate governance has been based on board composition and characteristics. However, board decision-making reflects the professional experience and personal values of the directors. These factors have not been addressed in the literature to-date and, hence, form this paper’s contribution.
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Liao, Xin Kao, Li Sheng Wang, Ke Te Wang, and Xiao Jie Xu. "Modeling for Reputation Computing Research Base on C2C Communities." Applied Mechanics and Materials 740 (March 2015): 839–42. http://dx.doi.org/10.4028/www.scientific.net/amm.740.839.
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Trust is part of the main problems in the development of C2C e-commerce. Calculating the value of reputation based on feedback rating is an effective way to create trust in e-commerce transactions. This paper proposes a computing model built on the reputation of e-commerce by introducing a feedback score, the transaction value, time, penalty factor and other parameters. Simulation results demonstrate that the model can effectively prevent the credibility of slander, reputation hype, reputation conspiracy and other issues.
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., Santoso, and Sulistiono . "Pengaruh Brand Reputation, Brand Competence, dan Brand Liking terhadap Keputusan Pembelian." Jurnal Ilmiah Manajemen Kesatuan 5, no. 2 (July 27, 2018): 125–32. http://dx.doi.org/10.37641/jimkes.v5i2.77.
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Brand reputation, is a brand that refers to a person to assume that such brand is good and reliable. Brand competence is the ability of product to solve problems faced by its customers, and meet their needs. Brand liking is a particular fondness of one party against another party because these parties find that the other party favorable and suitable. Purchase decision is the stage in the buyer's decision making process, where consumers actually buy the product. This study is to determine the effect of brand reputation, brand competence and brand liking, on purchasing decision of the consumers of motorcycle Yamaha V-Ixion.
This research uses a survey approach to retrieve data using questionnaires with respondents of 100 consumers of motorcycle yamaha v-Ixion in Bogor. Based on the calculations, the table variable regression equation brand reputation 0.005 states that each additional values in brand reputation will give rise to a score of 0.005. While the table variable regression equation brand competance 0.090 states that each additional values of variables brand competence will give rise to a score of 0.090. And table variable regression equation of brand liking of 0.531 states that each additional values of brand liking will give rise to a score of 0,531. From the analysis of determination test, brand reputation, brand competence and brand liking, on the purchasing decision is of 0.247, this indicates the relationship between the independent variables are brand reputation, brand competence, and the dependent variables purchasing decisions by 24.7%.
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García-Retuerta, David, Alberto Rivas, Joan Guisado-Gámez, Eleni Antoniou, and Pablo Chamoso. "Reputation System for Increased Engagement in Public Transport Oriented-Applications." Electronics 10, no. 9 (April 30, 2021): 1070. http://dx.doi.org/10.3390/electronics10091070.
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Increasing user engagement is one of the biggest challenges when a new application is developed. An engaged user is one who finds a product valuable; highly engaged users generate profit. This study focuses on increasing user engagement in a transport application, via a user reputation score feature. The score is to reward application users and activity organisers, as well as to motivate beginners by offering a high reputation score in the first days of use. The algorithms are based on exponential and logarithmic functions, and were first tested on synthetic data. Real-world tests have shown that the algorithms behave as expected, but the COVID-19 pandemic created a disturbance which prevented any user from achieving the maximum score and many users from registering altogether. Data show positive results, although the real number of users is not sufficient to certify a correct behaviour. Further tests will be carried out when transport activities return to normal.
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Yang, Rong, and Dianhua Wang. "Hierarchical Aggregation for Reputation Feedback of Services Networks." Mathematical Problems in Engineering 2020 (May 7, 2020): 1–12. http://dx.doi.org/10.1155/2020/3748383.
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Product ratings are popular tools to support buying decisions of consumers, which are also valuable for online retailers. In online marketplaces, vendors can use rating systems to build trust and reputation. To build trust, it is really important to evaluate the aggregate score for an item or a service. An accurate aggregation of ratings can embody the true quality of offerings, which is not only beneficial for providers in adjusting operation and sales tactics, but also helpful for consumers in discovery and purchase decisions. In this paper, we propose a hierarchical aggregation model for reputation feedback, where the state-of-the-art feature-based matrix factorization models are used. We first present our motivation. Then, we propose feature-based matrix factorization models. Finally, we address how to utilize the above modes to formulate the hierarchical aggregation model. Through a set of experiments, we can get that the aggregate score calculated by our model is greater than the corresponding value obtained by the state-of-the-art IRURe; i.e., the outputs of our models can better match the true rank orders.
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Chiang, Austin Lee, Loren Galler Rabinowitz, Akhil Kumar, and Walter Wai-Yip Chan. "Association Between Institutional Social Media Involvement and Gastroenterology Divisional Rankings: Cohort Study." Journal of Medical Internet Research 21, no. 9 (September 6, 2019): e13345. http://dx.doi.org/10.2196/13345.
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Background Patients often look to social media as an important tool to gather information about institutions and professionals. Since 1990, United States News and World Report (USNWR) has published annual rankings of hospitals and subspecialty divisions. It remains unknown if social media presence is associated with the USNWR gastroenterology and gastrointestinal (GI) surgery divisional rankings, or how changes in online presence over time affects division ranking. Objective The objective of this study was to determine if social media presence is associated with USNWR gastroenterology and GI surgery divisional rankings and to ascertain how changes in online presence over time affect division rankings. Methods Social media presence among the top 30 institutions listed in the 2014 USNWR gastroenterology and GI surgery divisional rankings were assessed using Pearson’s correlation coefficients and multivariate analysis, controlling for covariates. Linear and logistic regression using data from 2014 and 2016 USNWR rankings were then used to assess the association between institutional ranking or reputation score with any potential changes in numbers of followers over time. Sensitivity analysis was performed by assessing the area under the receiver operating characteristic curve to determine the follower threshold associated with improved or maintained ranking, which was done by dichotomizing changes in followers at values between the 7000 and 12,000 follower mark. Results Twitter follower count was an independent predictor of divisional ranking (β=.00004; P<.001) and reputation score (β=–.00002; P=.03) in 2014. Academic affiliation also independently predicted USNWR division ranking (β=5.3; P=.04) and reputation score (β=–7.3; P=.03). Between 2014 and 2016, Twitter followers remained significantly associated with improved or maintained rankings (OR 14.63; 95% CI 1.08-197.81; P=.04). On sensitivity analysis, an 8000 person increase in Twitter followers significantly predicted improved or maintained rankings compared to other cutoffs. Conclusions Institutional social media presence is independently associated with USNWR divisional ranking and reputation score. Improvement in social media following was also independently associated with improved or maintained divisional ranking and reputation score, with a threshold of 8000 additional followers as the best predictor of improved or stable ranking.
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Angolo, Shem Mbandu, Kofi Armah Gabriel, Chun Xiang Xu, and Domenic Mutiria Kamenyi. "Privacy Preserving Reputation Based Medical Services Scheme Using a Variant of ElGamal." Applied Mechanics and Materials 704 (December 2014): 464–73. http://dx.doi.org/10.4028/www.scientific.net/amm.704.464.
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Reputation Based schemes are gaining popularity in all spheres of the service industry. In this paper, we have proposed a privacy preserving secure reputation based medical services system. This system enables Medical Users to get a reputation score of a Medical Service Provider before engaging in any services. This kind of approach ensures that the Medical User has some apriori information of the quality of service to expect from a Medical Service Provider. Our proposed scheme uses a variant of the ElGamal cryptosystem. It is privacy preserving in the sense that both the Medical User making the query and the Medical Service Provider remain anonymous throughout the process. Compared to other reputation based schemes our scheme offers more security services than most existing schemes.
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Milinski, Manfred. "Reputation, a universal currency for human social interactions." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1687 (February 5, 2016): 20150100. http://dx.doi.org/10.1098/rstb.2015.0100.
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Decision rules of reciprocity include ‘I help those who helped me’ (direct reciprocity) and ‘I help those who have helped others’ (indirect reciprocity), i.e. I help those who have a reputation to care for others. A person's reputation is a score that members of a social group update whenever they see the person interacting or hear at best multiple gossip about the person's social interactions. Reputation is the current standing the person has gained from previous investments or refusal of investments in helping others. Is he a good guy, can I trust him or should I better avoid him as a social partner? A good reputation pays off by attracting help from others, even from strangers or members from another group, if the recipient's reputation is known. Any costly investment in others, i.e. direct help, donations to charity, investment in averting climate change, etc. increases a person's reputation. I shall argue and illustrate with examples that a person's known reputation functions like money that can be used whenever the person needs help. Whenever possible I will present tests of predictions of evolutionary theory, i.e. fitness maximizing strategies, mostly by economic experiments with humans.
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J, Paul Rajasingh, Sharmishtha Sen*, and Shreyes Prasad. "User Reputation Calculation for Service-Oriented Environments." Regular issue 10, no. 7 (May 30, 2021): 107–9. http://dx.doi.org/10.35940/ijitee.g8953.0510721.
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All the cloud based applications work on serviceoriented architectures and collaborate with multiple components from other services to execute discreet application logic. In this environment there are a lot of Web services facilitated to the customer to make the systems. As the potential of the same Web service will change with respect to users' needs. On an average a user will be heavily relied on tools to aid their activities on the internet vice versa the Service provider are also dependent on the users profile and what services are being used in the system. A User Reputation model offers a solution to the Service providers in supporting their service decision based on the User Profile. This model takes usage ratings as data and produces a personalised score. We suggest a new Cumulative separation on the basis of Tags and popularity estimation method and showcase its enhanced filtration ability.
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Tang, Genghua, Lishan Wu, and Lei Guo. "The impact of e-commerce platform merchants’ reputation on consumer decision making." E3S Web of Conferences 292 (2021): 02023. http://dx.doi.org/10.1051/e3sconf/202129202023.
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By crawling Meituan take-out merchant data, this paper studies the influence of e-commerce platform merchants’ reputation on consumer decision making. The empirical results show that the merchant reputation based on the overall score of merchants has a significant impact on consumers’ purchase decision and then affects the monthly sales volume of merchants. At the same time, brand merchants have higher monthly sales than ordinary merchants, and a series of food safety guarantee measures such as food safety insurance purchase and food material publicity also significantly affect monthly sales. In addition, the overall score of platform merchants has a marginal diminishing effect on monthly sales. Based on the empirical research conclusions, this paper also puts forward relevant countermeasures and suggestions for Meituan platform merchants and government regulatory authorities.
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Duca, Stefano, and Heinrich H. Nax. "Groups and scores: the decline of cooperation." Journal of The Royal Society Interface 15, no. 144 (July 2018): 20180158. http://dx.doi.org/10.1098/rsif.2018.0158.
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Cooperation among unrelated individuals in social-dilemma-type situations is a key topic in social and biological sciences. It has been shown that, without suitable mechanisms, high levels of cooperation/contributions in repeated public goods games are not stable in the long run. Reputation, as a driver of indirect reciprocity, is often proposed as a mechanism that leads to cooperation. A simple and prominent reputation dynamic function through scoring: contributing behaviour increases one's score, non-contributing reduces it. Indeed, many experiments have established that scoring can sustain cooperation in two-player prisoner's dilemmas and donation games. However, these prior studies focused on pairwise interactions, with no experiment studying reputation mechanisms in more general group interactions. In this paper, we focus on groups and scores, proposing and testing several scoring rules that could apply to multi-player prisoners' dilemmas played in groups, which we test in a laboratory experiment. Results are unambiguously negative: we observe a steady decline of cooperation for every tested scoring mechanism. All scoring systems suffer from it in much the same way. We conclude that the positive results obtained by scoring in pairwise interactions do not apply to multi-player prisoner's dilemmas, and that alternative mechanisms are needed.
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Triemstra, Justin D., Rachel Stork Poeppelman, and Vineet M. Arora. "Correlations Between Hospitals’ Social Media Presence and Reputation Score and Ranking: Cross-Sectional Analysis." Journal of Medical Internet Research 20, no. 11 (November 8, 2018): e289. http://dx.doi.org/10.2196/jmir.9713.
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Kannan, Lucky, and Jebakumar R. "Public Sender Score System (S3) by ESPs for Email Spam Mitigation with Score Management in Mobile Application." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 17 (October 13, 2020): 204. http://dx.doi.org/10.3991/ijim.v14i17.16609.
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Many businesses use email as a medium for advertising and they use emails to communicate with their customers. In the email world, the most common issue that remains unresolved even now is spamming or in other terms unsolicited bulk email. Currently, there is no common way to regulate the practices of an email sender. This proposed system is to formulate a protocol common for all the ESPs or inbox providers and a centralized system that will easily find the spammers and block them. By this method, the Email Service Providers (ESPs) or Inbox Providers need not wait for the sender behaviour and then take actions on the sender or sender domain or sender IP address. Instead, they can get the sender history of reputation from blockchain where the ESPs or Inbox Provider provides a score based on the emails they have received from the sender. The ESPs can get the Public Sender Score(S3) from the mobile application or web application which provides the score management user interface and APIs. The email marketers can also monitor their score through the application.
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Jaimes, Luz Marina Santos, and Edson Dos Santos Moreira. "Pseudonym change strategy based on the reputation of the neighbouring vehicles in VANETs." DYNA 86, no. 211 (October 1, 2019): 157–66. http://dx.doi.org/10.15446/dyna.v86n211.75602.
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Pseudonym change schemes have been studied in VANETs to guarantee the property of untraceability of the vehicles. This paper proposes a new condition based on the assumption that if there are no malicious vehicles around when a synchronous change triggers, there is no risk of tracking, and the pseudonym change defers until a time threshold. Thus, our proposal based on a synchronous strategy to increase the anonymity set, adds to the change condition, the checking of the reputation status of the neighbouring vehicles. The reputation status is the result of discretizing the reputation score of the vehicles and it is part of the periodically broadcast beacon messages. The proposal was evaluated through simulations using a real scenario. The results showed an optimization in the use of pseudonyms maintaining similar anonymity levels with other schemes.
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Song, Zilong, Xiaohong Zhang, and Miaomiao Liang. "Reliable Reputation Review and Secure Energy Transaction of Microgrid Community Based on Hybrid Blockchain." Wireless Communications and Mobile Computing 2021 (June 21, 2021): 1–17. http://dx.doi.org/10.1155/2021/9916735.
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A growing number of prosumers have entered the local power market in response to an increase in the number of residential users who can afford to install distributed energy resources. The traditional microgrid trading platform has many problems, such as low transaction efficiency, the high cost of market maintenance, opaque transactions, and the difficulty of ensuring user privacy, which are not conducive to encouraging users to participate in local electricity trading. A blockchain-based mechanism of microgrid transactions can solve these problems, but the common single-blockchain framework cannot manage user identity. This study thus proposes a mechanism for secure microgrid transactions based on the hybrid blockchain. A hybrid framework consisting of private blockchain and consortium blockchain is first proposed to complete market transactions. The private blockchain stores the identifying information of users and a review of their transactions, while the consortium blockchain is responsible for storing transaction information. The block digest of the private blockchain is stored in the consortium blockchain to prevent information on the private blockchain from being tampered with by the central node. A reputation evaluation algorithm based on user behavior is then developed to evaluate user reputation, which affects the results of the access audit on the private blockchain. The higher a user’s reputation score is, the more benefits he/she can obtain in the transaction process. Finally, an identity-based proxy signcryption algorithm is proposed to help the intelligent management device with limited computing power obtain signcryption information in the transaction process to protect the transaction information. A system analysis showed that the secure transaction mechanism of the microgrid based on the hybrid blockchain boasts many security features, such as privacy, transparency, and imtamperability. The proposed reputation evaluation algorithm can objectively reflect all users’ behaviors through their reputation scores, and the identity-based proxy signcryption algorithm is practical.
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Mihelj, Jernej, Yuan Zhang, Andrej Kos, and Urban Sedlar. "Crowdsourced Traffic Event Detection and Source Reputation Assessment Using Smart Contracts." Sensors 19, no. 15 (July 25, 2019): 3267. http://dx.doi.org/10.3390/s19153267.
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Real-time data about various traffic events and conditions—offences, accidents, dangerous driving, or dangerous road conditions—is crucial for safe and efficient transportation. Unlike roadside infrastructure data which are often limited in scope and quantity, crowdsensing approaches promise much broader and comprehensive coverage of traffic events. However, to ensure safe and efficient traffic operation, assessing trustworthiness of crowdsourced data is of crucial importance; this also includes detection of intentional or unintentional manipulation, deception, and spamming. In this paper, we design and demonstrate a road traffic event detection and source reputation assessment system for unreliable data sources. Special care is taken to adapt the system for operation in decentralized mode, using smart contracts on a Turing-complete blockchain platform, eliminating single authority over such systems and increasing resilience to institutional data manipulation. The proposed solution was evaluated using both a synthetic traffic event dataset and a dataset gathered from real users, using a traffic event reporting mobile application in a professional driving simulator used for driver training. The results show the proposed system can accurately detect a range of manipulative and misreporting behaviors, and quickly converges to the final trust score even in a resource-constrained environment of a blockchain platform virtual machine.
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Rosamond, Emily. "From Reputation Capital to Reputation Warfare: Online Ratings, Trolling, and the Logic of Volatility." Theory, Culture & Society 37, no. 2 (September 19, 2019): 105–29. http://dx.doi.org/10.1177/0263276419872530.
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What are the consequences of the tendency for ubiquitous online reputation calculation to lead not to more precise expressions of reputation capital but, rather, to greater reputational instability? This article contrasts two conceptions of online reputation, which enact opposing attitudes about the relation between reputation and the calculable. According to an early online reputation paradigm – reputation capital – users strove to achieve high scores, performing the presumption that reputation could be incrementally accumulated and consistently measured within relatively stable spheres of value. Yet, ubiquitous calculation led not to more precise measurements of reputation, but rather to the increasing volatility of online reputation. Thus, a second online reputation paradigm – reputation warfare – has become increasingly prevalent, in which strategic actors indirectly capitalize on systemic volatility produced by reputation’s ubiquitous online calculation. Steve Bannon’s 2016 Trump campaign strategy, which mobilized trolls, exemplifies the indirect optimization of online reputation, placing an option on reputational volatility.
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Yevtushenko, V. A. "Assessing the Management of the Reputational Component of Corporate Social Responsibility of Ukrainian Companies." PROBLEMS OF ECONOMY 2, no. 48 (2021): 126–33. http://dx.doi.org/10.32983/2222-0712-2021-2-126-133.
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The article is aimed at assessing the corporate social responsibility of organizations in Ukraine by using progressive international ratings, defining the relationship and interaction of the social responsibility and reputation of a company, and on this basis at developing a conceptual scientific and methodological approach to assessing the corporate social responsibility of Ukrainian companies. Modern international methodological approaches to assessing the management of the reputational component of social responsibility are analyzed, namely, Global CR RepTrak and Net Promoter Score. The research carried out shows the lack of a qualitative methodology to assess the reputational component of corporate social responsibility in Ukraine. Using the methodology of Global CR RepTrak and Net Promoter Score, and having analyzed open information sources, data from various ratings of Ukrainian companies, and own observations, the author proves the actual value of assessing the reputational component of corporate social responsibility of domestic enterprises, and performs the assessment itself. It is substantiated that both the external and internal reputational components of corporate social responsibility should be used for managing any national organization effectively. A new method for assessing the reputational component of corporate social responsibility is suggested with a view to providing socially responsible management of Ukrainian companies. Further research is needed to: define a system of institutional forms of the social responsibility of domestic enterprises; develop CSR models of national business structures; create comprehensive scientific and practical methods that will unambiguously assess the CSR of Ukrainian enterprises and turn the social responsibility of national producers into a competitive resource asset in global markets.
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Cullen, Michael W., Thomas J. Beckman, Kristine M. Baldwin, Gregory J. Engstler, Jay Mandrekar, Christopher G. Scott, and Kyle W. Klarich. "Predicting Quality of Clinical Performance From Cardiology Fellowship Applications." Texas Heart Institute Journal 47, no. 4 (January 20, 2020): 258–64. http://dx.doi.org/10.14503/thij-18-6851.
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Variables in cardiology fellowship applications have not been objectively analyzed against applicants' subsequent clinical performance. We investigated possible correlations in a retrospective cohort study of 65 cardiology fellows at the Mayo Clinic (Rochester, Minn) who began 2 years of clinical training from July 2007 through July 2013. Application variables included the strength of comparative statements in recommendation letters and the authors' academic ranks, membership status in the Alpha Omega Alpha Honor Medical Society, awards earned, volunteer activities, United States Medical Licensing Examination (USMLE) scores, advanced degrees, publications, and completion of a residency program ranked in the top 6 in the United States. The outcome was clinical performance as measured by a mean of faculty evaluation scores during clinical training.The overall mean evaluation score was 4.07 ± 0.18 (scale, 1–5). After multivariable analysis, evaluation scores were associated with Alpha Omega Alpha designation (β=0.13; 95% CI, 0.01–0.25; P=0.03), residency program reputation (β=0.13; 95% CI, 0.05–0.21; P=0.004), and strength of comparative statements in recommendation letters (β=0.08; 95% CI, 0.01–0.15; P=0.02), particularly in letters from residency program directors (β=0.05; 95% CI, 0.01–0.08; P=0.009).Objective factors to consider in the cardiology fellowship application include Alpha Omega Alpha membership, residency program reputation, and comparative statements from residency program directors.
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Kattel, Manisha, and Ajay Kumar Shah. "Bank Attribute Factors in Determining Customers’ Choice of Commercial Banks." Journal of Business and Social Sciences Research 5, no. 1 (July 21, 2020): 51–62. http://dx.doi.org/10.3126/jbssr.v5i1.30199.
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The paper aims to identify the factors influencing customers the choice of commercial banks in Nepal. Banks mainly earn from customer deposits, so they influence customers to open bank accounts by providing different services. The study seeks to analyse the impact of different variables (reputation, service quality, financial gain, convenience, group influence, information availability, and physical facilities) on the customers’ choice of the bank. Based on descriptive and inferential research designs, the study made use of primary data collected through a structured questionnaire surveyed successfully on 150 customers having accounts in different commercial banks. Descriptive analysis shows the highest mean score in convenience, it urges banks to focus on providing easy access to their services. By using correlation and regression, the study discovered that reputation, service quality and financial gain have influenced customers to choose banks. Among the three variables measured, reputation made the strongest influence on customers' choice of the bank, whereas group influence and information availability had no impact.
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Benlahbib, Abdessamad, and El Habib Nfaoui. "MTVRep: A movie and TV show reputation system based on fine-grained sentiment and semantic analysis." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (April 1, 2021): 1613. http://dx.doi.org/10.11591/ijece.v11i2.pp1613-1626.
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Customer reviews are a valuable source of information from which we can extract very useful data about different online shopping experiences. For trendy items (products, movies, TV shows, hotels, services . . . ), the number of available users and customers’ opinions could easily surpass thousands. Therefore, online reputation systems could aid potential customers in making the right decision (buying, renting, booking . . . ) by automatically mining textual reviews and their ratings. This paper presents MTVRep, a movie and TV show reputation system that incorporates fine-grained opinion mining and semantic analysis to generate and visualize reputation toward movies and TV shows. Differently from previous studies on reputation generation that treat the task of sentiment analysis as a binary classification problem (positive, negative), the proposed system identifies the sentiment strength during the phase of sentiment classification by using fine-grained sentiment analysis to separate movie and TV show reviews into five discrete classes: strongly negative, weakly negative, neutral, weakly positive and strongly positive. Besides, it employs embeddings from language models (ELMo) representations to extract semantic relations between reviews. The contribution of this paper is threefold. First, movie and TV show reviews are separated into five groups based on their sentiment orientation. Second, a custom score is computed for each opinion group. Finally, a numerical reputation value is produced toward the target movie or TV show. The efficacy of the proposed system is illustrated by conducting several experiments on a real-world movie and TV show dataset.
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Guo, Yujuan, Di Fan, and Xiao Zhang. "Social media–based customer service and firm reputation." International Journal of Operations & Production Management 40, no. 5 (May 4, 2020): 575–601. http://dx.doi.org/10.1108/ijopm-04-2019-0315.
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PurposeThis study investigates the effects of using social media for customer service on firms' reputation building. In addition, this study explores the role of absorptive capacity, ISO (International Organization for Standardization) 9,000 implementation and periodic training for management and employees in the relationship between social media–based customer service and firm reputation.Design/methodology/approachThis study sampled 115 US-listed firms and collected secondary data from five databases as follows: Factiva, Fortune's World's Most Admired Companies (WMAC), Standard & Poor's COMPUSTAT, American Customer Satisfaction Index (ACSI) and Thomson Reuters’ Environmental, Social and Governance (ESG). This study developed a panel dataset of these 115 firms from 2007 to 2016 and conducted dynamic panel data analyses to examine the hypotheses.FindingsThis study finds that a higher number of social media channels used for customer service is associated with a higher reputation score for a firm. In addition, the positive relationship is reinforced when a firm has a high absorptive capacity level, an ISO 9000 quality management system and offers periodic training for management and employees.Originality/valueTo the best of our knowledge, this is the first study to investigate the relationship between social media–based customer service and firm reputation. This study also explores the boundary factors in terms of firm absorptive capacity, ISO 9000 quality management systems and training for management and employees.
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S., Vimal, and Srivatsa S K. "A Reliable Peer-to-Peer Platform for Adding New Node Using Trust Based Model." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (December 1, 2017): 3515. http://dx.doi.org/10.11591/ijece.v7i6.pp3515-3520.
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In order to evaluate the trustworthiness of participating peers in unstructured peer-to-peer networks, Reputation aggregation methods are used in this method. Each and every peer of the network will collect the local scores of each transaction and will compute global scores by aggregating all the local scores with the help of global scores, each individual peer can interact with its suitable peers. But the existing method will not consider the score of the new peer. In this condition, requests are handled by existing peers who leads to failure in downloading process. To rectify this, NP-TRUST model is used to distribute the request to all peers including the newly joined peers. The proposed method is compared with gossip and DFR-TRUST model in Transaction Success rate and variation in file request.
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Yunus, Muhammad, Calen Calen, and Sarida Sirait. "Pengaruh Prediksi Kebangkrutan Model Altman Z-Score, Reputasi Auditor dan Opinion Shopping terhadap Opini Audit Going Concern." Owner 4, no. 1 (February 20, 2020): 343–55. http://dx.doi.org/10.33395/owner.v4i1.174.
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This study aims to determine the effect of the bankruptcy prediction of the Altman z-score model, auditor reputation and opinion shopping on going concern audit opinion in manufacturing companies listed on the Indonesia Stock Exchange in 2015-2019. This research is a causal associative research with a quantitative approach. The sample in this study were 25 manufacturing companies listed on the Indonesia Stock Exchange which were determined using purposive sampling technique. Observations in this study were carried out throughout the period 2015 to 2019 so that the number of observations was 125 data. The type of data used in this study is secondary data. While the data analysis method used in this research is panel data regression analysis with statistical data processing software, namely STATA. Based on the results obtained in this study, it can be seen that the prediction of bankruptcy based on the Altman z-score model has no significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. Auditor reputation is proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. And opinion shopping is also proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange.
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Zhong, Minjuan, Liang Tan, and Xilong Qu. "Identification of Opinion Spammers using Reviewer Reputation and Clustering Analysis." International Journal of Computers Communications & Control 14, no. 6 (November 27, 2019): 759–72. http://dx.doi.org/10.15837/ijccc.2019.6.3704.
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Online reviews have increasingly become a very important resource before making a purchasing decisions. Unfortunately, malicious sellers try to game the system by hiring a person or team (which is called spammers) to fabricate fake reviews to improve their reputation.Existing methods mainly take the problem as a general binary classification or focus on some heuristic rules. However, supervised learning methods relies heavily on a large number of labeled examples of deceptive and truthful opinions by domain experts, and most of features mentioned in the heuristic strategy ignore the characteristic of the group organization among spammers. In this paper, an effective method of identifying opinion spammers is proposed. Firstly, suspected spammers are detected by means of unsupervised learning based on reviewer’s reputation. We believe that the reviewer’s reputation has a direct relation with the quality of reviews. Generally, review written by user with lower reputation, shows lower quality and higher possibility to be fake. Therefore, the model assigns reputation score to each reviewer wherein the content based factors and activeness of reviewers are employed efficiently. On basis of all suspected spammers, k-center clustering algorithm is performed to further spot the spammers based on the observation of burst of review release time. Experimental results on Amazon’s dataset are encouraging and indicate that our approach poses high accuracy and recall, and good performance is achieved.
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Cai, Carla Zi, Yulan Lin, Haridah Alias, Zhijian Hu, and Li Ping Wong. "Effect of the COVID-19 Pandemic on Medical Student Career Perceptions: Perspectives from Medical Students in China." International Journal of Environmental Research and Public Health 18, no. 10 (May 11, 2021): 5071. http://dx.doi.org/10.3390/ijerph18105071.
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Our aim was to examine perceived occupational turnover intentions among medical students and the associated factors. A cross-sectional study using a Web-based survey was conducted. A total of 2922 completed responses were received (response rate 55.7%). A total of 58.4% (95% CI 56.6–60.2) reported high turnover intention (score of 7–15). The odds of higher total turnover score among the fifth-year students was nearly four times that of first-year students (OR = 3.88, 95% CI 2.62–5.73). Perception of the medical profession as not being of high social status and reputation significantly influenced high turnover intention scores (OR = 2.26, 95% CI 1.90–2.68). All three dimensions of the multidimensional scale of perceived social support (MSPSS) significantly predict turnover intention. Lower scores in the support from Significant Other (OR = 1.47, 95% CI 1.17–1.84), Family (OR = 1.47, 95% CI 1.18–1.83) and Friend (OR = 1.42, 95% CI 1.14–1.77) subscales were associated with higher turnover intention. Low score in the Brief Resilience Scale (BRS) was also associated with higher turnover intention (OR = 1.44, 95% CI 1.17–1.77). The findings shed light on the importance of changing public attitudes towards respecting the medical profession and improving the implementation of policies to protect the well-being of people in the medical profession.
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Walden, Joshua S. "“An Essential Expression of the People”: Interpretations of Hasidic Song in the Composition and Performance History of Ernest Bloch's Baal Shem." Journal of the American Musicological Society 65, no. 3 (2012): 777–820. http://dx.doi.org/10.1525/jams.2012.65.3.777.
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Abstract This article examines Ernest Bloch's Baal Shem: Three Pictures of Chassidic Life, considering its score, its performance history, and early recordings of the second movement, “Nigun,” by Yehudi Menuhin, Joseph Szigeti, and Mischa Elman, to investigate the idea, promoted by the composer and many of his performers and critics, that the music represented Jewish identity through the evocation of Hasidic song. Bloch's score and Menuhin's performances were described as expressing what was often characterized during the early twentieth century as a self-affirming racial feeling that linked the modern diaspora in America to Eastern European Hasidic Jewish communities. With Baal Shem, Bloch and his performers and listeners participated in a self-conscious effort to construct a modern Jewish identity that they believed could be conveyed in the sounds and structures of art music. Menuhin's lifelong friendship and collaboration with Bloch underscores the crucial roles of Bloch's performers in working with the composer to devise compositional and performance tropes for the representation of Hasidic song, and in creating his broad reputation as a composer of a definitive Jewish music, a reputation Bloch would sometimes embrace and at other times disavow.
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Whiting, Rosalind Heather, Paul Hansen, and Anindya Sen. "A tool for measuring SMEs’ reputation, engagement and goodwill." Journal of Intellectual Capital 18, no. 1 (January 9, 2017): 170–88. http://dx.doi.org/10.1108/jic-02-2016-0028.
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Purpose The purpose of this paper is to develop a rating and scoring tool for measuring small and medium enterprises’ (SMEs) reputation, engagement and goodwill (REG), including internet presence and following on social media, by an exploratory study undertaken in New Zealand. Design/methodology/approach A discrete choice experiment (DCE) applying the PAPRIKA method via an online survey was conducted to determine weights representing the relative importance of six indicators related to SMEs’ REG. Usable responses were received from 159 people involved with SMEs. Cluster analysis to identify participants with similar patterns of weights was performed. Findings The six indicators, in decreasing order of importance (mean weights in parentheses), are: “captured” customer opinions about the business (0.28); contact with customer database (0.19); website traffic (0.16); Google Search ranking (0.15); size of customer database, (0.11); and following on social media (0.11). These indicators and weights can be used to rate and score individual SMEs. The cluster analysis indicates that participants’ age has some influence on their weights. Research limitations/implications Only 159 usable responses for the DCE. Practical implications The indicators and their weights provide a practical and inexpensive tool for measuring SMEs’ REG. Originality/value This is the first study to use a DCE to determine weights representing the relative importance of indicators included in a tool for measuring SMEs’ REG. The tool is innovative because it includes readily available indicators of firms’ internet presence and following on social media.
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Liu, Chelsea, Chee Seng Cheong, and Ralf Zurbruegg. "Rhetoric, Reality, and Reputation: Do CSR and Political Lobbying Protect Shareholder Wealth against Environmental Lawsuits?" Journal of Financial and Quantitative Analysis 55, no. 2 (January 18, 2019): 679–706. http://dx.doi.org/10.1017/s0022109019000073.
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We investigate whether firms’ corporate social responsibility (CSR) reputations and environmental lobbying efforts protect shareholder wealth in the event of environmental lawsuits. Using a sample of lawsuits filed in United States Federal Courts, we find that firms with superior CSR reputations suffer worse market reactions to environmental allegations. In contrast, lobbying cushions filing-date valuation losses, providing insurance-like protection against lawsuits. Our results are robust to subsample analyses, a falsification test, propensity score matching, and alternative empirical proxies and model specifications.
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Santoso, Eko Budi, and Ivan Yudhistira Wiyono. "Pengaruh Reputasi Auditor, Prediksi Kebangkrutan, Disclosure Dan Leverage Terhadap Penerimaan Opini Audit Going Concern." AKRUAL: Jurnal Akuntansi 4, no. 2 (April 9, 2013): 139. http://dx.doi.org/10.26740/jaj.v4n2.p139-154.
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AbstractGoing concern opinion is accepted by a company represents the condition and events which arises auditor’s hesitation of the company’s going concern. Going concern audit opinion used as early warning to the user of financial statements in order to prevent mistakes on decision making. This study objective was to reinvestigate factors that influencing going concern audit opinion. The factors used on this research are auditor reputation, bankruptcy prediction, disclosure and leverage.Samples were collected with purposive sampling method and obtained 229 observation data of listed manufacture companies that meet the criteria from year 2009-2011. Logistic regression was been used for hypothesis testing. The result showed that bankruptcy prediction using Z-score model and leverage affected acceptance going concern audit opinion. The hypothesis testing also showed that auditor reputation and disclosure did not affect acceptance going concern audit opinion.
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Sanlav, Ramazan, and Pero Duygu Dumangöz. "The Relationship Between the Reputation of the Sports Team Perceived by University Students and Their Psychological Commitments to Their Teams." Journal of Educational Issues 7, no. 1 (May 30, 2021): 413. http://dx.doi.org/10.5296/jei.v7i1.18539.
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This study aims to examine the relationship between the reputation of sports team perceived by university students and their psychological commitment to their teams and to determine whether these two variables differ according to variables such as gender, age, department of university, the status of membership to a fan union, and the team the students supported. This is a quantitative study utilizing descriptive scanning model. The population of the study consists of students studying in universities on the European Side of Istanbul, and the sample consists of 219 students contacted by the random selection method. The study applied personal information form prepared by the researcher, the Spectator-Based Sports Team Reputation Scale (SSTR), which was developed by Wonseok et al. (2015) and the Fan Psychological Commitment Scale (FPCS), which was developed by Matsuoka (2001) in order to collect data in the study. SPSS 20.0 software package was used for data analysis. The collected data were examined with Kolmogorov-Smirnov and distribution graphs in terms of normal distribution in addition to descriptive statistics. Mann-Whitney U and Kruskal-Wallis tests were used to compare the data based on the number of variables. Post-hoc analyses were conducted by Mann-Whitney U test using Bonferroni correction and relationships between variables by Spearman’s correlation analysis. The prediction of the FPCS score by SSTR score was evaluated through linear regression analysis. The error margin was accepted as p < 0.05. A positive significant relationship was found between FPCS and SSTR variables perceived by university students according to the research results (p < 0.05). The results have strategic implications for managers who can evaluate the team reputation and the psychological commitment of the fan to the team in this context and encourage this for more fan participation.
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Amyulianthy, Rafrini. "Faktor Determinan Opini Audit Going Concern." Liquidity 3, no. 1 (July 1, 2018): 27–35. http://dx.doi.org/10.32546/lq.v3i1.102.
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This research purpose to determine the effect of financial condition of company, the size of audited company, the company's growth and reputation of the Public Accounting Firm to going-concern audit opinion on the company's listed on Indonesia Stock Exchange. Companies sample in this research are industrial trade, services and investment covered years 2007-2012 which 20 companies with. Hypothesis tested by using logistic regression models. The test results showed that the financial conditions using by bankruptcy prediction model Altman Z - Score Revised had positive effect but not significant to going-concern audit opinion. The size of the company which is using by log total assets had negative effect and significant to goingconcern audit opinion. Meanwhile the company's growth had positive effect but not significant to going-concern audit opinion. The public accounting firm's reputation using by the scale of the auditor (affiliated with the Big Four KAP), positive effect but not significant to goingconcern audit opinion.
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Wanzenböck, Iris, Rafael Lata, and Doga Ince. "Proposal success in Horizon 2020: A study of the influence of consortium characteristics." Quantitative Science Studies 1, no. 3 (August 2020): 1136–58. http://dx.doi.org/10.1162/qss_a_00067.
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This study draws on evaluation data to investigate the success of collaborative R&D project proposals submitted to Horizon 2020, the European Union’s Framework Programme for Research and Innovation (FP). Data on project status and evaluation score are used to identify successful and rejected project proposals. We hypothesize that the social or institutional composition of the project consortium explains the outcome of an early-stage R&D collaboration. Using regression analysis, we identify “success factors” at the consortium level, related to (a) the network visibility; (b) level of experience and degree of acquaintance; and (c) the research capabilities and excellence or reputation of consortium members. We show that consortia with high levels of experience and reputation, involving a large share of Western European partners and engaged in more application-oriented consortia, have greater chances of success in acquiring H2020 project funding. This result has implications for the scientific community, as well as for the direction of EU research policy.
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Drew, David. "MESSIAEN – A SUGGESTED PLACING (1955)." Tempo 64, no. 252 (April 2010): 10–13. http://dx.doi.org/10.1017/s0040298210000124.
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It has often been said that David Drew first made his critical reputation with a series of three articles on the music of Olivier Messiaen – essentially, the first informed criticism of the French composer that had appeared in English – published in The Score and I. M. A. magazine in 1955. David's friendship with William Glock, who owned and edited The Score, was long-lasting: from this time, when he was essentially Glock's assistant in its editing and production, to after Glock's death in 2000, when he acted as co-executor of his Will. ‘A Suggested Placing’ is the concluding portion of the final Messiaen article, published in The Score Number 14, the issue of December 1955. The invocations of Charles Ives – at that period hardly known to his own countrymen in the USA, let alone outside it – seem particularly prescient, and should remind us that David had already published a knowledgeable survey of ‘American Chamber Music’(in Chamber Music, ed. Alec Robinson, Pelican Books, 1955).
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Wang, Lingcong, Kaiwen Tan, and Yi Huang. "Reputation Analysis of E-commerce Products Based on Online Reviews—Take Amazon as an Example." Journal of Economics and Public Finance 6, no. 2 (May 9, 2020): p128. http://dx.doi.org/10.22158/jepf.v6n2p128.
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Based on the product review information of amazon from 2006 to 2016, this paper measures the correlation between star rating and text review. First, a supervised SVM model was established to classify text emotions. Second, the word2vec model was built to analyze the unsupervised emotion of the comment text. Third, the relationship between the special text and the score is obtained by using the grey metric model. In addition, the article has also carried on the principal component analysis to the commodity reputation, and has determined the representative good commodity and the inferior commodity. Finally, this paper puts forward some Suggestions for merchants, e-commerce platforms and governments.
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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 (November 2, 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 consumers use product ratings and reviews before buying online, a survey with a situational set up of variations of rating, review and price options in association with a number of hypothetical luxury goods was conducted among 421 global luxury consumers out of over 6,000 people. The study was carried out from September to October 2018 for six weeks in the form of online and mobile survey. User population is high net-worth individuals or luxury consumers derived from the author’s various professional and social networks and communities. Their geographical coverage would be global, but concentrated around the major cities. Findings The survey shows that ratings and reviews can be important source of information for luxury consumers. Online ratings and reviews are rated as helpful by 76.01% of the participants. People who chose the highly rated one (4.8/5) over the poorly rated (3.7/5) was 86.94%, while all else such as product category, star rating and price range are about the same. Feedback from the open question survey indicates that the perceived helpfulness of rating and review systems could vary. Comparing user reviews is time-consuming because of unstructured nature of contextual reviews and the relative nature of human perception on the rating scale. Research limitations/implications There are two aspects of ratings and reviews playing an important role for luxury consumers’ buying decision. First, it is about helpfulness of collective rating score. Luxury consumers see a user-generated rating score and use the score when they make a choice even if the rating is not an absolute, but relative figure, not exactly like the star rating system in the hotel industry. Second, there is discrepancy between the status of the brand in association with its price position and perceived value as the industry does not cope with classifying their brands in any official star rating system. Practical implications Consumers need compact and concise information about the products they need. When there are only a few potential products left in their short wish-list, full user reviews can be helpful to get more details and general opinions about the products on the short list before making a final decision. In that regard, a primary indicator that will guide through the decision-making process of the luxury consumers would be the trustworthiness of user rating of each product in an aggregated score along with a potential use of sub-ratings, which has to be visible from the product landing page. Originality/value Even if there is a wide use and ubiquitous nature of product ratings and reviews in other consumer products, the author is curious about how luxury consumers use ratings and reviews for their buying decision because there are not that many researches done previously in spite of the importance of this issue. Luxury goods industry has hit €320bn in 2017 according to Bain and Co., and 25% of the trading volume will be replaced by the digital commerce by 2025.
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Kang, Hongwei, Mie Wang, Yong Shen, Xingping Sun, and Qingyi Chen. "Trust-based partner switching among partitioned regions promotes cooperation in public goods game." PLOS ONE 16, no. 6 (June 28, 2021): e0253527. http://dx.doi.org/10.1371/journal.pone.0253527.
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In this paper, the coevolution mechanism of trust-based partner switching among partitioned regions on an adaptive network is studied. We investigate a low-information approach to building trust and cooperation in public goods games. Unlike reputation, trust scores are only given to players by those with whom they have a relationship in the game, depending on the game they play together. A player’s trust score for a certain neighbor is given and known by that player only. Players can adjust their connections to neighbors with low trust scores by switching their partners to other players. When switching partners, players divide other nodes in the network into three regions: immediate neighbors as the known region, indirectly connected second-order neighbors as the intermediate region, and other nodes as the unknown region. Such choices and compartmentalization often occur in global and regional economies. Our results show that preference for switching to partners in the intermediate region is not conducive to spreading cooperation, while random selection has the disadvantage of protecting the cooperator. However, selecting new partners in the remaining two regions based on the average trust score of the known region performs well in both protecting partners and finding potential cooperators. Meanwhile, by analyzing the parameters, we find that the influence of vigilance increasing against unsatisfactory behavior on evolution direction depends on the level of cooperation reward.