ArticleMethodsX2024
Analysis and integration of mixed method in efficiency studies: Best practices and applications in the renewable energy sector.
Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mixed-method research is based on multiple methodological strategies, prioritizing high technical rigor with scientific solidity and contributing to practical improvements. Therefore, this study aimed to present a mixed method with analysis and integration in efficiency studies in the renewable energy sector through the relationship between productivity and optimization of results. This mixed-method methodology was proposed in: (i) theoretical mathematical model, (ii) efficiency model (DEA, SFA), technique, definition of ranking and sampling criteria, (iii) variables that influence this efficiency, which will be the bases for research instrument applied at case studies (quanti-quali integration), and (iv) identification of best practices from case studies. The efficiency of each DMU established a ranking (scores), which was used as independent variable in the regression and identified the variables that impact on efficiency. These results enabled the creation of an instrument to identify the best practices that impacts on the efficiency score. Notably, this method can help stakeholders of the sugar-energy production chain achieve their efficiency through best practices generated. It has been applied in other economic sectors, such as education, banking, healthcare, and solid waste, and replication in different periods and countries using variables from public or private databases.•Develop stakeholders of sugar-energy production chain to achieve and improve their efficiency through best practices generated through production analysis.•It has been applied in other economic sectors, such as education, banking, healthcare and solid waste.•There are opportunities for replication in different periods and countries using variables from public or private databases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.