数据误导?国家智力资本研究数据来源综述

Q3 Business, Management and Accounting Electronic Journal of Knowledge Management Pub Date : 2021-06-03 DOI:10.34190/EJKM.19.1.2243
H. Orjala
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引用次数: 1

摘要

本文对国家知识资本(NIC)文献进行了综述,重点介绍了记录在案的数据使用和NIC文献中使用的数据源。这个主题很重要,因为NIC的研究在很大程度上是基于数据分析的,因此数据的使用和所使用的数据源最终围绕着国家知识资本的大局来塑造现实,正如今天所理解的那样。虽然情况确实如此,但有关数据使用和使用的数据源的问题并不是研究传统的核心。该综述重点关注1991年至2018年间发表的57篇系统收集的NIC文章,这些文章有记录的数据来源。结果表明,大多数基于数据的NIC研究都集中在一组经常使用的数据源周围,而其余基于数据的网卡文献则使用一组零散的数据源。很少使用新的数据源。文献中对数据和数据源使用的记录留下了批评的空间。如果研究人员和NIC分析的用户能够评估作为NIC分析基础的数据源的质量、覆盖范围和相关性,他们将从中受益。据我们所知,这是NIC文献中使用的数据源首次成为文献综述的主要焦点。
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Misled by Data? Review of Data Sources in National Intellectual Capital Research
This paper is a review of National Intellectual Capital (NIC) literature that focuses on the documented use of data and the data sources used in the NIC literature. The topic is important as the NIC research is largely based on data analysis and thus the use of data and the data sources used ultimately shape the reality around what is the big picture of national intellectual capital, as it is understood today. While this is the case, questions about use of data and the data sources used have not been in the core of the research tradition. The review focuses on 57 systematically collected NIC articles with a documented data source, published between the years 1991 and 2018. The results show that the majority of data-based NIC research is concentrated around a set of often-used data sources, while the rest of the data-based NIC literature uses a fragmented set of data sources. New data sources are rarely utilized. The documentation of data and data source use in the literature leaves room for criticism. Researchers and the users of NIC analyses benefit, if they are able to evaluate the quality, the coverage, and the relevance of the data sources used as a basis of NIC analyses. To the best of our knowledge, this is the first time that data sources used in the NIC literature are the main focus of a literature review.
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来源期刊
Electronic Journal of Knowledge Management
Electronic Journal of Knowledge Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
3.00
自引率
0.00%
发文量
9
审稿时长
20 weeks
期刊最新文献
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