Raw Data of QMS Audit and Digitalisation

Published: 13-01-2020| Version 1 | DOI: 10.17632/r98wdt2php.1
Contributor:
Felipe Martinez

Description

The raw data includes a total of 16328 bibliometric records from 15 journals specialised Operations Management (OM) and Quality Management System (QMS). The selection of journals analyses three different journal rankings systems. The Journal Ranking of Eigenfactor and its Article Influence Score (AIS) determines the first list of journals. Additionally, this research also reviews the Journal Impact Factor (IF) from Web of Science (WoS) and Scopus journal statistics (CiteScore – SJR – SNIP). The combination of the three rankings provides a list of journals for a bibliometric analysis. The Scopus BibTeX data facilitates journal data gathering from the journals ISSN and the creation of the R dataset “M”. The data contains the articles' information on titles, abstracts, and other data with publication year from 1965 to 2020. The dataset creation date is the 6th of December 2019.

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Steps to reproduce

it is suggested to implement Biblioshiny (https://www.bibliometrix.org/)