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Application of multivariate methods to the differentiation of Peruvian wines
(2022-01-14)
This work presents the results of the sensing analysis of Peruvian wines of known (Commercial wines) and handmade brands, using electronic noses (E-noses) which consist of an array of sensors based on tin oxide doped with Pd or Pt, and some with zeolite coating. The combinations of the sensors were performed seeking to obtain the best discrimination of the wines with the multivariate methods, with a high level of confidence and a good distribution of the results. The Principal Component Analysis (PCA), cluster and factorial results showed that the electronic noses allowed to efficiently identify wines of known brand from those of handmade brand, revealing the way in which the wines have been produced. On the other hand, the multivariate methods applied to the electronic noses made up of SnO2 sensors doped with palladium showed a clear differentiation of Borgoña-type wines from wines of handmade brand and evidenced the formation of agglomerations between red and Rosé wines. The application of PCA, cluster and factorial obtained in this study allowed to obtain good results in the differentiation of wines, even with electronic noses formed with a low number of sensors.
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Innovation Climate Scale: Psychometric analysis in Peruvian workers
(Universidad Politecnica Salesiana, 2024-10-01)
the changes caused by the COVID-19 pandemic pushed organizations to attempt to remain current and competitive. Thus, the ability to respond to new demands and adapt to shifting conditions was an unavoidable requirement, which implies innovating in the development of their processes. In that sense, the growing importance of innovative work behaviors in the development of organizations has driven researchers to investigate mechanisms that foster such behaviors in workers. The objective of this study was to analyze the psychometric properties of the Innovation Climate Scale (ICS). The instrumental study involved 273 Peruvian workers (50.916 % male) ranging in age between 22 and 76 years old (Mean = 45.224), employed for the most part in the private sector (75.092 %). The psychometric analysis explored item clarity and relevance by means of assessment by expert judges (content validity). Internal structure was assessed via confirmatory factorial analyses, both of oblique models and bi-factor. Finally, scoring reliability (alpha coefficient) and construct reliability (omega coefficient) were estimated. This study finds the ICS items to be clear and relevant, a greater empirical support for the unidimensional model as its internal structure, and an adequate reliability. In conclusion there is favorable evidence of validity and reliability for the application of the ICS in Peruvian companies as a useful tool to measure the innovative climate perceived by its workers, providing information for decision making and planning of innovation strategies and organizational creativity.
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