PÉREZ CAMPDESUÑER, REYNER FRANCISCO
Preferred name
PÉREZ CAMPDESUÑER, REYNER FRANCISCO
Main Affiliation
GADEP - Grupo de Estudios de Administración Empresarial y Pública
Web Site
ORCID
0000-0002-2785-5290
Scopus Author ID
56386013100
82 results
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Item type:Publication, Variables Determinantes de las Prácticas de Gestión de Recursos Humanos en Micro y Pequeñas Empresas(Universidad UTE, 2021-12-01); - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Regulatory Employment Thresholds and Firm Size Distortions: Evidence from Ecuador(MDPI AG, 2026-03-23); ; ; García-Vidal, GeiselScopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Convolutional Neural Networks for Automated and Non Intrusive Measurement of Customer Satisfaction in Restaurants(MDPI AG, 2025-12-03); ; ; ; Customer satisfaction (CS) is a cornerstone of competitiveness in the hospitality sector, particularly in restaurants, where service interactions are highly sensory and time-sensitive. Traditional measurement instruments, such as SERVQUAL, SERVPERF, and the American Customer Satisfaction Index, provide valuable diagnostic insights but remain limited by recall bias, social desirability, and delayed feedback. Advances in deep learning now enable non-intrusive, real-time monitoring of customer experience. This study evaluates the feasibility of using a convolutional neural network (CNN) to automatically classify customer satisfaction based on facial expressions captured at the point of payment in a restaurant. From an initial dataset of over 5000 images, 2969 were validated and labeled through a binary self-report mechanism. The CNN, implemented with transfer learning (MobileNetV2), achieved robust performance, with 93.5% accuracy, 92.8% recall, 91.0% F1-score, and an area under the ROC curve of 0.93. Comparative benchmarks with Support Vector Machine and Random Forest classifiers confirmed the superiority of the CNN across all metrics. The findings highlight CNNs as reliable and scalable tools for continuous CS monitoring, complementing rather than replacing classical survey-based approaches. By integrating implicit, real-time signals with traditional instruments, restaurants can strengthen decision-making, enhance service quality, and co-create personalized experiences while addressing challenges of explainability, external validity, and data ethics.Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Managing Physical and Market Constraints to Make Investment Decision: A Methodological Proposal Programmed in MATLAB(SAGE Publications, 2023-07-20); ; ; <jats:p> The need to seek a balance between installed capacities and demand is an imperative for all companies. To respond to this demand, various proposals have been formulated, among which the Theory of Constraints stands out, although the application of these methodologies is always limited by financial availability. This research shows the results of the application of a methodological proposal applied in a pharmaceutical laboratory that allows managing the increase in physical or market constraints, as appropriate, also considering the incidence of capacities in supply chain management. To achieve the proposed objective, programming in MATLAB R2019a is used. The systematic application of the methodology allowed an optimal use of financial availability, an increase in the capacity utilization and an increase in the profits generated during the process. </jats:p>Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Facing post COVID-19 era, what is really important for Ecuadorian SMEs?(SAGE Publications, 2020-01-01); ; ; <jats:p> Small and medium-sized enterprises (SMEs) have to face the time post COVID-19. The pandemic impacted the SMEs with great force worsening the well-known situation of lack of resources and its tendency to disappear in the very early years of existence. This systemic crisis jeopardizes SMEs in many ways and it is necessary to find ways to emerge and survive from this crisis. This manuscript conducts a literature study on more than 100 manuscripts that present recommendations from McKinsey & Company for SMEs to face post-pandemic time. Through the application of the entropy-weight coefficient method this paper finds priorities from Ecuadorian SMEs out of essential elements proposed at the literature review, to introducing at the managing process to face post COVID-19 era. </jats:p>Scopus© Citations 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management(MDPI AG, 2025-04-08); ; ; <jats:p>This study explores the adoption of data-driven approaches to business process management (BPM) by micro, small, and medium enterprises (MSMEs), which are crucial for economic growth and job creation but often face challenges in adopting advanced technologies. The research aims to understand the perceived benefits and persistent barriers that MSMEs encounter when implementing data-driven BPM. A critical review of academic literature was conducted, focusing on factors influencing adoption, perceived benefits, and existing challenges. Literature consistently highlights benefits such as process optimization, informed decision making, customer personalization, operational efficiency, adaptability, risk mitigation, automation, organizational culture transformation, innovation, and transparency. However, the review also identifies significant challenges, including technological and infrastructural limitations, resource constraints, training and skill gaps, organizational and cultural resistance, data management and quality issues, difficulties in implementation and change management, and analytical and technical complexities. These findings emphasize that, while data-driven BPM offers substantial opportunities for MSMEs to improve competitiveness and efficiency, successful adoption requires careful consideration of these multifaceted challenges and the development of tailored strategies to overcome them.</jats:p>Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Co-Creating Authentic Rural Tourism Experiences: Pre–Post Evidence on Preference Fit, Learning, Local Interaction, and Purchase Intention(MDPI AG, 2026-07-01); ; Scopus© Citations 1