Se encontraron 6 investigaciones
Description: We develop research on ¿branding,¿ its antecedents, and impacts in different perspectives and contexts (Brand Attachment, Brand Hate, Brand Equity, Brand Tribalism, Brand purpose). Participants: ¿ Peru (CENTRUM PUCP) ¿ Dr. Flavia Braga Chinelato ¿ Brazil (FUMEC University) ¿ Professors and Researchers ¿ Portugal (University of Algarve) ¿ Professor and Researcher
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Estudio del comportamiento del consumidor en diferentes contextos y aplicaciones.
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Investigación cross cultural sobre branding en diferentes contextos y con diferentes constructos.
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This research project aims to carry out a comparative study analyzing characteristcs of remote work before and during the pandemic with COVID-19, and the results will be compared in different countries in the world considering their different cultural contexts. It will be shown the profile of respondents and companies which are realizing a remote work, also how it affects their personal life style and productivity. It will be also presented some suggestions for companies how better prepared their employees for this kind of future emerging situations and some suggestions for employees how to improve their productivity during remote work.
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Description: This project is cross-cultural, involving Peru, Brazil, and Portugal, intending to deepen consumer behavior in the three countries. Participants: ¿ Peru (CENTRUM PUCP) ¿ Dra. Flavia Braga Chinelato ¿ Portugal (University of Algarve) ¿ Professor and Researcher ¿ Brazil (FUMEC University) ¿ Professor and Researcher ¿ Brazil (Federal University of Mato Grosso do Sul) ¿ Professor and Researcher
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Food poisoning and food spoilage have increased remarkably the last decade due to the lack of food cold chain infrastructure, specially in emerging economies. A microgrid (MG) represents an opportunity for a solid transition to integrate renewable energy generation to our vulnerable and unsustainable traditional power grid. Recent advances in technology allow us to consider capturing massive amounts of data from weather sensors, and other electrical devices. To bridge this gap, this research proposes to use AWS IoT Analytics to enhance the stochastic optimization model for a MG for a cold storage in agriculture, and to reduce the curtailment effect. The decisionmodelisformulatedasatwo-stageoptimizationproblemtoobtainoperationdecisionsforabehind-the-metertopology. Thecomparisonbetweenthecurrentpractice ofusinghistoricaldataandintegratingAWSIoTAnalyticstechnologiesdemonstrates the superiority of the streaming data as energy management strategy. A real-world case is developed in Peru for an agriculture application. Experiments under different settingsshowthatusingbigdatastrategy,themodelcan1)achievemorecostsavings of the total system, 2) increase resiliency to power disturbances, and 3) build a data analytics framework to enhance the decision-making process.
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