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Jaime A. Yáñez

Publications -  21
Citations -  58

Jaime A. Yáñez is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 5, co-authored 21 publications receiving 58 citations.

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Effect of Corporate Social Responsibility on Consumer Satisfaction and Consumer Loyalty of Private Banking Companies in Peru

TL;DR: In this article , the authors evaluated the effect of corporate social responsibility (CSR), customer satisfaction (CS), and customer trust (CT) on customer loyalty in the Peruvian private banking sector.
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Social Cognitive Theory to Assess the Intention to Participate in the Facebook Metaverse by Citizens in Peru during the COVID-19 Pandemic

TL;DR: In this article , a cross-sectional, analytical study of 410 citizens in Peru to assess the influence of institutional support, technological literacy, and self-efficacy on the intention to participate in the Facebook Metaverse during the COVID-19 pandemic.
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Product Innovation, Market Intelligence and Pricing Capability as a Competitive Advantage in the International Performance of Startups: Case of Peru

TL;DR: In this article , the authors evaluated the influence of the company's capabilities, through the competitive advantage of a company as a mediator in international performance, and concluded that competitive advantage does not act as mediator between pricing capabilities and the international performance of startups.
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Sustainable Fashion and Consumption Patterns in Peru: An Environmental-Attitude-Intention-Behavior Analysis

TL;DR: In this article , the influence of environmental attitude on environmental concern and perceived environmental knowledge was analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM).
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The Public Health Contribution of Sentiment Analysis of Monkeypox Tweets to Detect Polarities Using the CNN-LSTM Model

TL;DR: In this paper , the authors analyzed the positive, negative, and neutral feelings of people who published their opinions on Twitter with the hashtag #Monkeypox and used a hybrid-based model architecture built on CNN and LSTM to determine the prediction accuracy.