Production Performance Assessment at Different Levels …
357
3.3 Procedures for Bibliometric Analysis
Bibliometrics consists of statistical analyzes of bibliographic data (Miguel et al.
2018). In ProKnow-C methodology, bibliometric analysis can identify, for example:
(i) the degree of relevance of journals; (ii) the scientific recognition of articles; (iii)
the degree of relevance of the authors; (iv) the most commonly used keywords and (v)
analyze the impact factor (JCR/SRJ) of bibliographic portfolio journals (Bortoluzzi
et al. 2011).
3.4 Content Analysis Procedures
Content analysis consists of a set of techniques for systematic text analysis (Mayring
2003) and this method will be conducted by the steps suggested by Mayring (2003)
and Seuring and Muller (2008), represented in Table 1.
Table 1 shows that the Material Selection matches the 39 articles that make up
the Bibliographic Portfolio and that the Descriptive Analysis, suggested by Mayring
(2003) and Seuring and Muller (2008), corresponds to Bibliometric Analysis, since
the Analysis Descriptive also involves checking the number of publications, most
prolific authors, and major journals (Taticchi et al. 2015).
Regarding the selection of categories to meet the objective of identifying which
level of assessment (social, strategic, operational) is most addressed among scientific
research, the codes used within the MAXQDA Software correspond to the 26 dimensions shown in Fig. 1. It should be mentioned at this point corresponding to the fact
that some articles present only the performance measures, without categorization
while other works highlight the performance measures already categorized. In the
first case, it may happen that several measures are coded within the same dimension,
which could distort the results. To do this, the Software’s own ability to ‘post entries
per document only once’ is used.
Table 1 Content analysis steps
Steps suggested by Mayring (2003) and
Seuring and Muller (2008)
Application/occurrence
(i) Material selection
39 articles in the bibliographic portfolio
(ii) Descriptive analysis
Same as bibliometric analysis
(iii) Category selection
In order to highlight the most addressed
assessment levels, the categories (codes) used
correspond to the 26 dimensions shown in Fig. 1
(iv) Material evaluation
To highlight the most commonly used evaluation
methodologies, categories will be created each
time a new method is identified in the analysis
process
Source Research Data
357
3.3 Procedures for Bibliometric Analysis
Bibliometrics consists of statistical analyzes of bibliographic data (Miguel et al.
2018). In ProKnow-C methodology, bibliometric analysis can identify, for example:
(i) the degree of relevance of journals; (ii) the scientific recognition of articles; (iii)
the degree of relevance of the authors; (iv) the most commonly used keywords and (v)
analyze the impact factor (JCR/SRJ) of bibliographic portfolio journals (Bortoluzzi
et al. 2011).
3.4 Content Analysis Procedures
Content analysis consists of a set of techniques for systematic text analysis (Mayring
2003) and this method will be conducted by the steps suggested by Mayring (2003)
and Seuring and Muller (2008), represented in Table 1.
Table 1 shows that the Material Selection matches the 39 articles that make up
the Bibliographic Portfolio and that the Descriptive Analysis, suggested by Mayring
(2003) and Seuring and Muller (2008), corresponds to Bibliometric Analysis, since
the Analysis Descriptive also involves checking the number of publications, most
prolific authors, and major journals (Taticchi et al. 2015).
Regarding the selection of categories to meet the objective of identifying which
level of assessment (social, strategic, operational) is most addressed among scientific
research, the codes used within the MAXQDA Software correspond to the 26 dimensions shown in Fig. 1. It should be mentioned at this point corresponding to the fact
that some articles present only the performance measures, without categorization
while other works highlight the performance measures already categorized. In the
first case, it may happen that several measures are coded within the same dimension,
which could distort the results. To do this, the Software’s own ability to ‘post entries
per document only once’ is used.
Table 1 Content analysis steps
Steps suggested by Mayring (2003) and
Seuring and Muller (2008)
Application/occurrence
(i) Material selection
39 articles in the bibliographic portfolio
(ii) Descriptive analysis
Same as bibliometric analysis
(iii) Category selection
In order to highlight the most addressed
assessment levels, the categories (codes) used
correspond to the 26 dimensions shown in Fig. 1
(iv) Material evaluation
To highlight the most commonly used evaluation
methodologies, categories will be created each
time a new method is identified in the analysis
process
Source Research Data