Abstract
Abstract Nowadays, more and more scientific research activities are carried out in different laboratories and universities, which not only play an important role in the development of science and technology, but also show a significant inference on education. The improvement of the research capability of an academic faculty can directly impact the quality of education, bring innovations to Industrial Engineering curriculum proposals, and guarantee the subjects are up to date. The investigation of the existing issues in the current research activities is usually considered as the primary and challenging step. As the output of research activities, academic articles are often considered as a kind of evidence-based resources for the investigation. Despite some methodological efforts have been made by existing article review methods, less attention has been paid to discover the implicit academic relationships among the academic staffs and to investigate their research expertise. The objective of this study is to address this existing drawback through the proposition of an Academic Information Classification and Summarization method. A case study is carried out in the Industrial and System Engineering Graduate Program (PPGEPS), PUCPR, Brazil. The result not only highlights the advantages that can be obtained from this proposition from the education perspective related to Industrial Engineering, but also can be used as evidence to balance and compare an academic staff’s research expertise and his/her teaching disciplines.
Highlights
In recent decades, investments in scientific capacity have been viewed as a critical precursor for creating economic growth in the knowledge economy by governments worldwide (Feldman et al, 2014)
We found despite the big methodological efforts have been made by above-mentioned article review methods, less attention has been paid to the discovery of the implicit academic relationships among the academic staffs and neither the investigation of their research expertise
In the course of improving the research capability of an academic faculty, the analysis of its research activities based on their output are usually considered as the most practical and evidence‐based way
Summary
Investments in scientific capacity have been viewed as a critical precursor for creating economic growth in the knowledge economy by governments worldwide (Feldman et al, 2014). Along with the fast growth in the number of publications, an increasing variety of article review and evaluation methods are proposed. These methods can be divided into two kinds: (1) the systematic review methods that focus on investigating the contents in the articles, such as the rapid review (Khangura et al, 2012), the scoping study (Arksey & O’Malley, 2005), and the meta-analysis (Mullen, 1986); (2) the research productivity evaluation methods that based on some pre-defined criteria, such as volume, quality, impact, and utility.
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