306,319 research outputs found
Information Aggregation Under Strategic Delay
No full textIn this paper, we show that consumers delay their buying to learn the unknown quality of a product. Agents receive imperfect but informative signals about the unknown quality. Then, each one simultaneously decides whether or not to buy the product in one of the two periods. Consumers with moderate tastes will strategically delay their buying to the second period even though they receive a good signal. They deduce the true quality by observing the mass of first period buyers. We avoid equilibrium non-existence problem by using agents with different private values.Intertemporal price discrimination
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
THE TURKISH AND AZERBAIJANI LAWS ON UNFAIR COMPETITION VIA STANDARDISED TERMS OF CONTRACT - ASSESSMENTS AND SUGGESTIONS
No full textThis paper presents a comparative analysis between Turkish and Azerbaijani law systems and it attempts to evaluate whether the usage of standardised terms of contract in a way that causes the infringement of the principle of good faith forming unfair competition. Standardised terms are pre-prepared without negotiating with the other contracting parties. The paper highlights that the two countries have strong connections, especially in economic and commercial terms which render even more important convergence of legal regulations. In this respect, upon examining the regulations on standardised terms and unfair competition and considering the fact that the two systems have similar approaches regarding standardised terms, the paper suggests that the usage of standardised terms in a manner that violates good faith should be qualified as unfair competition under Azerbaijani law in accordance with Article 55/1(f) of the Turkish Commercial Code. The paper assesses the issue in conjunction with the Turkish Commercial Code, Turkish Code of Obligations, the Civil Code of Azerbaijan (Mulki Mecelle) and Code on Unfair Competition. The scope of the protection that is envisaged in the relevant Turkish and Azerbaijani codes is studied from consumers’ and merchants’ aspects, respectively. The paper inter alia assesses that protecting all market participants is the most effective way to provide market balance. The paper aims to contribute to the improvement of the economic relations of Turkey and Azerbaijan via its suggestion on harmonising the two law systems in terms of unfair competition regulations.
Keywords: Banks, merchant-consumer, principle of good faith, standardised terms of contract, unfair competition.
Cite as: Gunay, E. D., & Gunay, G. E. (2021). The Turkish and Azerbaijani laws on unfair competition via standardised terms of contract – Assessments and suggestions. Journal of Nusantara Studies, 6(1), 309-322. http://dx.doi.org/10.24200/jonus.vol6iss1pp309-32
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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