358
A. Schlickmann et al.
Finally, for the last objective, which is to identify which appraisal
approaches/techniques are the most used, we chose to insert the code of these techniques, each time it is mentioned in a work. The procedures for the selection of
the Bibliographic Portfolio, for Bibliometric Analysis and Content Analysis occur
between 08/07/2019 to 31/07/2019.
4 Results and Analysis
This chapter highlights the results found for (i) selection of the Bibliographic
Portfolio, (ii) Bibliometric Analysis and (iii) Content Analysis.
4.1 Bibliographic Portfolio Selection
From the search in the Scopus and Web of Science databases, 2006 returned raw
articles, which were selected for the next stage of the ProKnow-C methodology,
called Article Bank Filtering, as shown in Fig. 3.
According to Fig. 3, 436 articles were excluded, based on Filter 1, as they were in
duplicate. Regarding Filter 2, which aims to find papers aligned with the purpose of
this research, by reading the title, 897 articles did not present alignment and were also
Concept
Input
Filter
Output
Filter 1 - Repeat Articles
2006
436
1570
Filter 2 - Title Alignment
1570
897
673
Filter 3 - Scientific Recognition
673
394
279
Filter 4 - Summary Alignment
279
152
127
Filter 5 - Availability
215
76
139
Filter 6 - Integral Alignment
139
100
39
Article Bank Filtering
Application / Results
Recap Articles without Scientific Recognition - Articles 2018
and 2019
127
72
199
Recap Articles Without Scientific Recognition - Authors'
Articles
199
16
215
Fig. 3 Article bank filtering for the production performance assessment bibliographic portfolio.
Source Research Data
A. Schlickmann et al.
Finally, for the last objective, which is to identify which appraisal
approaches/techniques are the most used, we chose to insert the code of these techniques, each time it is mentioned in a work. The procedures for the selection of
the Bibliographic Portfolio, for Bibliometric Analysis and Content Analysis occur
between 08/07/2019 to 31/07/2019.
4 Results and Analysis
This chapter highlights the results found for (i) selection of the Bibliographic
Portfolio, (ii) Bibliometric Analysis and (iii) Content Analysis.
4.1 Bibliographic Portfolio Selection
From the search in the Scopus and Web of Science databases, 2006 returned raw
articles, which were selected for the next stage of the ProKnow-C methodology,
called Article Bank Filtering, as shown in Fig. 3.
According to Fig. 3, 436 articles were excluded, based on Filter 1, as they were in
duplicate. Regarding Filter 2, which aims to find papers aligned with the purpose of
this research, by reading the title, 897 articles did not present alignment and were also
Concept
Input
Filter
Output
Filter 1 - Repeat Articles
2006
436
1570
Filter 2 - Title Alignment
1570
897
673
Filter 3 - Scientific Recognition
673
394
279
Filter 4 - Summary Alignment
279
152
127
Filter 5 - Availability
215
76
139
Filter 6 - Integral Alignment
139
100
39
Article Bank Filtering
Application / Results
Recap Articles without Scientific Recognition - Articles 2018
and 2019
127
72
199
Recap Articles Without Scientific Recognition - Authors'
Articles
199
16
215
Fig. 3 Article bank filtering for the production performance assessment bibliographic portfolio.
Source Research Data