37 resultados para Reputations
Resumo:
We use an adverse selection model to study the dynamics of firms' reputations when firms implement joint projects. We show that in contrast with projects implemented by a single firm, in the case of joint projects a firm's reputation does not necessarily increase following a success and does not necessarily decrease following a failure. We also study how reputation considerations affect firms ' decisions to participate in joint projects. We show that a high quality partner may not be preferable to a low quality partner, and that a high reputation partner is not necessarily preferable to a low reputation partner.
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Politics must tackle multiple issues at once. In a first-best world, political competition constrains parties to prioritize issues according to the voters' true concerns. In the real world, the opposite also happens: parties manipulate voter priorities by emphasizing issues selectively during the political campaign. This phenomenon, known as priming, should allow parties to pay less attention to the issues that they intend to mute. We develop a model of endogenous issue ownership in which two vote-seeking parties (i) invest to attract voters with "better" policy proposals and (ii) choose a communication campaign to focus voter attention on specific issues. We identify novel feedbacks between communication and investment. In particular, we find that stronger priming effects can backfire by constraining parties to invest more resources in all issues, including the ones they would otherwise intend to mute. We also identify under which conditions parties prefer to focus on their "historical issues" or to engage in issue stealing. Typically, the latter happens when priming effects are strong, and historical reputations differentiates parties less.
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The paper explores an efficiency hypothesis regarding the contractual process between large retailers, such as Wal-Mart and Carrefour, and their suppliers. The empirical evidence presented supports the idea that large retailers play a quasi-judicial role, acting as "courts of first instance" in their relationships with suppliers. In this role, large retailers adjust the terms of trade to on-going changes and sanction performance failures, sometimes delaying payments. A potential abuse of their position is limited by the need for re-contracting and preserving their reputations. Suppliers renew their confidence in their retailers on a yearly basis, through writing new contracts. This renovation contradicts the alternative hypothesis that suppliers are expropriated by large retailers as a consequence of specific investments.
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Punishment of non-cooperators has been observed to promote cooperation. Such punishment is an evolutionary puzzle because it is costly to the punisher while beneficial to others, for example, through increased social cohesion. Recent studies have concluded that punishing strategies usually pay less than some non-punishing strategies. These findings suggest that punishment could not have directly evolved to promote cooperation. However, while it is well established that reputation plays a key role in human cooperation, the simple threat from a reputation of being a punisher may not have been sufficiently explored yet in order to explain the evolution of costly punishment. Here, we first show analytically that punishment can lead to long-term benefits if it influences one's reputation and thereby makes the punisher more likely to receive help in future interactions. Then, in computer simulations, we incorporate up to 40 more complex strategies that use different kinds of reputations (e.g. from generous actions), or strategies that not only include punitive behaviours directed towards defectors but also towards cooperators for example. Our findings demonstrate that punishment can directly evolve through a simple reputation system. We conclude that reputation is crucial for the evolution of punishment by making a punisher more likely to receive help in future interactions, and that experiments investigating the beneficial effects of punishment in humans should include reputation as an explicit feature.
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Tämän kandidaatintyön tarkoituksena on tarkastella aineettomien markkinointiresurssien – brändin, imagon ja maineen – määritelmiä sekä niiden etuja yrityksen liiketoiminnassa. Tarkastelu toteutetaan B2B-liiketoimintaympäristössä. Työ rakentuu viidestä osiosta, joista ensimmäisessä käsitellään aineettomia markkinointiresursseja ja niihin kuuluvaa suhdepääomaa. Toisessa, kolmannessa ja neljännessä osiossa käsitellään suhdepääomaan kuuluvien brändin, imagon ja maineen määritelmiä, etuja ja vaikutuksia yrityksen liiketoiminnassa. Viidennessä osiossa esitellään edellä mainittujen tekijöiden vaikutuksia asiakkaan ostopäätösprosessiin. Työssä käytetyn aineiston pohjalta tehtiin johtopäätös, että B2B-liiketoiminnassa toimiva yritys on yleensä itse brändi, jolla on sekä imago että maine. Brändi-imago ja brändin maine ovat merkittävässä roolissa asiakkaan ostopäätösprosessissa. Työn lopussa esitetään erilaisia asiakkaan ostopäätösprosessia kuvaavia malleja. Käytetyn aineiston ja mallien pohjalta on muodostettu malli brändi-imagon ja brändin maineen vaikutuksista asiakkaan ostopäätösprosessin eri tekijöihin.
Resumo:
In the global phenomenon, the aging population becomes a critical issue. Data and information concerning elderly citizens are increasing and are not well organized. In addition, these unstructured data and information cause the problems for decision makers. Since we live in a digital world, Information Technology is considered to be a tool in order to solve problems. Data, information, and knowledge are crucial components to facilitate success in IT service system. Therefore, it is necessary to study how to organize or to govern data from various sources related elderly citizens. The research is conducted due to the fact that there is no internationally accepted holistic framework for governance of data. The research limits the scope to study on the healthcare domain; however, the results can be applied to the other areas. The research starts with an ongoing research of Dahlberg and Nokkala (2015) as a theory. It explains the classification of existing data sources and their characteristics with the focus on managerial perspectives. Then the studies of existing frameworks at international and national level organizations have been performed to show the current frameworks, which have been used and are useful in compiling data on elderly citizens. The international organizations in this research are selected based on their reputations and the reliability to obtain information. The selected countries at national level provide different point of views between two countries. Australia is a forerunner in IT governance while Thailand is the country which the author has familiar knowledge of the current situation. Considered the discussions of frameworks at international and national organizations level illustrate the main characteristics of each framework. At international organization level gives precedence to the interoperability of exchanging data and information between different parties. Whereas at national level shows the importance of the acknowledgement of using frameworks throughout the country in order to make the frameworks to be effective. After the studies of both international and national organization levels, the thesis shows the summarized tables to answer the fitness to the proposed framework by Dahlberg and Nokkala whether the framework help to consolidate data from various sources with different formats, hierarchies, structures, velocities, and other attributes of data storages. In addition, suggestions and recommendations will be proposed for the future research.
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“Le calunnie etniche nella lingua italiana” (“Ethnic slurs in the Italian language”) is a very long chapter (c. 35.000 words) included in the second volume (pp. 513-587) of the multi-volume La cultura italiana, published by UTET in 2009-2010. (http://cultura.utet.it/cultura/catalogo/details.jsp?id=2076). La cultura italiana is an innovative multidisciplinary 12 volume (8.000 pages) work directed by the internationally acclaimed scientist Luigi Cavalli Sforza (http://en.wikipedia.org/wiki/Luigi_Luca_Cavalli-Sforza); each volume has been coordinated and edited by a very prominent Italian scholar, and every contribution has been written by academics with national and international reputations. The second volume of La cultura italiana has been coordinated by Professor Gian Luigi Beccaria, and is entirely devoted to language (“Lingue e linguaggi”). “Le calunnie etniche” brings together, for the first time in Italy, methodological issues and case studies on ethnic slurs in Italian and Italian dialects, and it particularly sheds new light on the semantic field of zingaro (gypsy), highlighting both the historical construction of the label, through the analysis of a huge amount of sources, and its social and political implication.
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Doctor-patient jokes are universally popular because of the information asymmetries within the diagnostic relationship. We contend that entrepreneurial diagnosis is present in markets where consumers are unable to diagnose their own problems and, instead, may rely on the entrepreneur to diagnose them. Entrepreneurial diagnosis is a cognitive skill possessed by the entrepreneur. It is an identifiable subset of entrepreneurial judgment and can be modeled – which we attempt to do. In order to overcome the information asymmetries and exploit opportunities, we suggest that entrepreneurs must invest in market making innovations (as distinct from product innovations) such as trustworthy reputations. The diagnostic entrepreneur described in this paper represents a creative response to difficult diagnostic problems and helps to explain the success of many firms whose products are not particularly innovative but which are perceived as offering high standards of service. These firms are trusted not only for their truthfulness about the quality of their product, but for their honesty, confidentiality and understanding in helping customers identify the most appropriate product to their needs.
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There is substantially more trade within national borders than across borders. An important explanation for this fact is the weak enforcement of international contracts. We develop a model in which agents build reputations to overcome this institutional failure. The model describes the interplay between institutional quality, reputations and the dynamics of international trade. It also rationalizes several empirical regularities. We find that history matters for trade volumes, but that its effects vary with the institutional setting of the country. The same is true for the efticacy of trade liberalization programs. Moreover, while stricter enforcement of contracts enhances trade in the short run, it makes it harder for individual traders to develop good reputations. We show that this indirect negative effect may produce an "institutional trap": for sufliciently low initial levels of contract enforcement, a small tightening in enforcement reduces future trade fiows. We find also that search frictions aggravate the problems created by weak enforceability of contracts, even if they impose no direct cost on agents. The model allows extensions in several directions. We outline two of them, indicating how one could study transnational networks and the effects of firm heterogeneity within our structure.
Resumo:
The aim of this Master’s thesis has been to shed light on the response strategies that organizations are implementing when facing a crisis created on or amplified by social media. Since the development of social media in the late 1990s, the interplay between the online and the offline spheres has become more complex, and characterized by dynamics of a new magnitude, as exemplified by the wave of “Twitter” Revolutions or the Wikileaks scandal in the mid 2000s, where online behaviors deeply affected an offline reality. The corporate world does not escape to this worldwide phenomenon, and there are more and more examples of organizational reputations destroyed by social media “fireballs”. As such, this research aims to investigate, through the analysis of six recent cases of corporate crises (2013-2015) from France and Brazil, different strategies currently in use in order to identify examples of good and bad practices for companies to adopt or avoid when facing a social media crisis. The first part of this research is dedicated to a review of the literature on crisis management and social media. From that review, we were able to design a matrix model, the Social Media Crisis Management Matrix, with which we analyzed the response strategies of the six companies we selected. This model allows the conceptualization of social media crises in a multidimensional matrix built to allow the choice, according to four parameters, of the most efficient (that is: which will limit the reputational damage) response strategy. Attribution of responsibility for the crisis to the company by stakeholders, the origin of the crisis (internal or external), the degree of reputational threat, and the emotions conveyed online by stakeholders help companies determining whether to adopt a defensive response, or an accommodative response. The results of the analysis suggest that social media crises are rather manichean objects for they are, unlike their traditional offline counterparts, characterized by emotional involvement and irrationality, and cannot be dealt with traditionally. Thus analyzing the emotions of stakeholders proved to be, in these cases, an accurate thermometer of the seriousness of the crisis, and as such, a better rudder to follow when selecting a response strategy. Consequently, in the cases, companies minimized their reputational damage when responding to their stakeholders in an accommodative way, regardless of the “objective” situation, which might be a change of paradigm in crisis management.
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Pós-graduação em Ciência da Computação - IBILCE
Resumo:
Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area.
Resumo:
Theoretical propositions stressing the importance of trust, reciprocity, and reputation for cooperation in social exchange relations are deeply rooted in classical sociological thought. Today’s online markets provide a unique opportunity to test these theories using unobtrusive data. Our study investigates the mechanisms promoting cooperation in an online-auction market where most transactions can be conceived as one-time-only exchanges. We first give a systematic account of the theoretical arguments explaining the process of cooperative transactions. Then, using a large dataset comprising 14,627 mobile phone auctions and 339,517 DVD auctions, we test key hypotheses about the effects of traders’ reputations on auction outcomes and traders’ motives for leaving feedback. Our statistical analyses show that sellers with better reputations have higher sales and obtain higher prices. Furthermore, we observe a high rate of participation in the feedback system, which is largely consistent with strong reciprocity—a predisposition to unconditionally reward (or punish) one’s interaction partner’s cooperation (or defection)—and altruism—a predisposition to increase one’s own utility by elevating an interaction partner’s utility. Our study demonstrates how strong reciprocity and altruism can mitigate the free-rider problem in the feedback system to create reputational incentives for mutually beneficial online trade.
Resumo:
La société économique de Berne est considérée comme une zone de contact à portée européenne des Lumières économiques. C´est dans cette perspective que son organe de publication paraissant dans deux langues, son premier catalogue de bibliothèque, tout comme les membres d´honneur qui y sont nommés feront l´objet d´une étude. Cette analyse vise aussi bien aux aspects fonctionnels du transfert des savoirs et de leur organisation, qu´à la culture de réputation et de reconnaissance. Seule l´association de ces deux aspects permet de constituer le caractère international de la société bernoise
Resumo:
A Kuhnian approach to research assessment requires us to consider that the important scientific breakthroughs that drive scientific progress are infrequent and that the progress of science does not depend on normal research. Consequently, indicators of research performance based on the total number of papers do not accurately measure scientific progress. Similarly, those universities with the best reputations in terms of scientific progress differ widely from other universities in terms of the scale of investments made in research and in the higher concentrations of outstanding scientists present, but less so in terms of the total number of papers or citations. This study argues that indicators for the 1% high-citation tail of the citation distribution reveal the contribution of universities to the progress of science and provide quantifiable justification for the large investments in research made by elite research universities. In this tail, which follows a power low, the number of the less frequent and highly cited important breakthroughs can be predicted from the frequencies of papers in the upper part of the tail. This study quantifies the false impression of excellence produced by multinational papers, and by other types of papers that do not contribute to the progress of science. Many of these papers are concentrated in and dominate lists of highly cited papers, especially in lower-ranked universities. The h-index obscures the differences between higher- and lower-ranked universities because the proportion of h-core papers in the 1% high-citation tail is not proportional to the value of the h-index.