Benchmark between scientific journals of the management area

A. Cardoso, Jennifer Nogueira Feitosa Silva
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引用次数: 1

Abstract

The purpose of this research was to present the main distinguishing features among the 100 journals in the area of management available at the Scientific Journals Electronic Library (SPELL). The research has a quantitative and qualitative approach, having collected the data through a survey on the journals site, followed by a filtering in about 200 parameters, and the analysis of each periodical, based on Qualis/Capes 2013-2016 classification and with discriminant analyses. The results allowed to identify 25 distinctive characteristics that characterize each stratum Qualis/Capes and also provided a "map of steps" to follow to achieve each of the A2, B1, B2 and B3 classifications in the scientific editorial setting of the Management, Accounting and Tourism Areas. It should be emphasized that the journals of the different strata differ as to the aspects aimed at stimulating quality, techniques for attracting impact research and indexing mechanisms, elements that contribute to the development of the actors involved in the editorial process. To enrich the findings, it is suggested as future researches, besides applying the model presented here in the next classification Qualis/Capes 2017-2020, verifying the assertiveness of the discriminant analysis, and also applying the 25 variables presented in this study in a new research with international journals classified as A1 to identify the characteristics of this group, considering the lack of this stratum in national journals in the Management, Accounting and Tourism Areas.
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管理领域科学期刊之间的基准
本研究的目的是在科学期刊电子图书馆(拼写)提供的管理领域的100种期刊中提出主要的区别特征。本研究采用定量和定性相结合的方法,通过对期刊网站的调查收集数据,然后对大约200个参数进行过滤,并基于Qualis/Capes 2013-2016分类和判别分析对每个期刊进行分析。结果可以确定每个地层的25个不同特征,并提供了一个“步骤图”,以便在管理、会计和旅游区的科学编辑设置中实现A2、B1、B2和B3分类。应当强调的是,不同阶层的期刊在旨在提高质量、吸引有影响的研究的技术和索引机制、有助于培养参与编辑过程的行动者的因素等方面有所不同。考虑到管理、会计和旅游领域的国家级期刊中缺乏这一阶层,建议在未来的研究中,除了将本文提出的模型应用于下一个分类Qualis/Capes 2017-2020中,验证判别分析的自信之外,还将本文提出的25个变量应用于分类为A1的国际期刊的新研究中,以确定这一群体的特征。
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