Salgado Junior Alexandre Pereira, Lemos Stella Vannucci, Carlucci Fábio Vogelaar, Rebehy Perla Calil Pongeluppe Wadhy
Business Administration Department, University of São Paulo, 3900 Bandeirantes Av., Ribeirao Preto, SP 14040-905, Brazil.
MethodsX. 2024 Feb 29;12:102613. doi: 10.1016/j.mex.2024.102613. eCollection 2024 Jun.
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.
混合方法研究基于多种方法论策略，优先考虑高度的技术严谨性和科学可靠性，并有助于实际改进。因此，本研究旨在通过生产力与结果优化之间的关系，提出一种在可再生能源领域效率研究中进行分析与整合的混合方法。这种混合方法方法论体现在以下几个方面：（i）理论数学模型；（ii）效率模型（数据包络分析、随机前沿分析）、技术、排名和抽样标准的定义；（iii）影响这种效率的变量，这些变量将作为应用于案例研究（定量-定性整合）的研究工具的基础；（iv）从案例研究中识别最佳实践。每个决策单元的效率建立了一个排名（分数），该排名在回归中用作自变量，并确定影响效率的变量。这些结果使得能够创建一种工具来识别对效率得分有影响的最佳实践。值得注意的是，这种方法可以帮助糖能生产链的利益相关者通过所产生的最佳实践来实现其效率。它已应用于其他经济部门，如教育、银行、医疗保健和固体废物领域，并且可以利用公共或私人数据库中的变量在不同时期和国家进行复制。•通过生产分析所产生的最佳实践，培养糖能生产链的利益相关者以实现并提高其效率。•它已应用于其他经济部门，如教育、银行、医疗保健和固体废物领域。•利用公共或私人数据库中的变量，在不同时期和国家有进行复制的机会。
