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
60 results
Now showing 1 - 10 of 60
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Item type:Publication, Exploring the relationship between organizational values and small team performance: A Delphi method application(Centre for Evaluation in Education and Science (CEON/CEES), 2021); ; ; The objective of this article is to examine the relationships between organizational values and the performance indicators of an organization. Two work teams were analyzed in a restaurant. To achieve the objective, a Delphi method was developed that allowed knowing the level of consensus of the members of the teams studied among a group of previously identified values, allowing to identify those values that had greater importance and regulation for each team. Through the Mann-Whitney statistical test, the relationship between values and customer satisfaction and productivity were examined, aspects that were measured in the organization studied for each work shift, where the teams analyzed worked. The research made it possible to prove the relationship between values and customer satisfaction directly and productivity indirectly, demonstrating that the work team showed greater consensus on its values in terms of importance and level of regulation showed better results in the dependent variables analyzed. The research carried out allowed the quantitative validation of the hypothesis that the shared values that regulate the behavior of the employees studied are closely related to the performance indicators. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Beyond Quality: Predicting Citation Impact in Business Research Using Data Science(MDPI AG, 2025-09-05); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Digital Organizational Resilience in Latin American MSMEs: Entangled Socio-Technical Systems of People, Practices, and Data(MDPI AG, 2025-10-10); ; ; ; This study develops a systemic framework to conceptualize digital organizational resilience in micro, small, and medium-sized enterprises (MSMEs) as an emergent property of entangled socio-technical systems. Building on theories of distributed cognition, sociomateriality, and resilience engineering, this paper argues that resilience does not reside in isolated elements—such as leadership, technologies, or procedures—but in their dynamic interplay. Four interdependent dimensions—human, technological, organizational, and institutional—are identified as constitutive of resilience capacities. The research design is conceptual and exploratory in nature. Two theory-driven conceptual statements are formulated: first, that natural language mediation in human–machine interaction enhances coordination and adaptability; and second, that distributed cognition and prototyping practices strengthen collective problem-solving and adaptive capacity. These conceptual statements are not statistically tested but serve as conceptual anchors for the model and as guiding directions for future empirical studies. Empirical illustrations from Ecuadorian MSMEs ground the framework in practice. The evidence highlights three insights: (1) structural fragility, as micro and small firms dominate the economy but face high mortality and financial vulnerability; (2) uneven digitalization, with limited adoption of BPM, ERP, and AI due to skill and resource constraints; and (3) disproportionate gains from modest interventions, such as optimization models or collaborative prototyping. This study contributes to organizational theory by positioning MSMEs as socio-technical ecosystems, providing a conceptual foundation for future empirical validation. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs(MDPI AG, 2025-04-28); ; ; Optimizing the use of resources is a key aspect of organizational management. Various methods have been developed and applied to optimize different variables, including sequencing methods that aim to minimize work time. This paper presents an integrated approach for optimizing the sequencing of operations, considering indicators such as usage time, completion time, waiting time, delivery delay, and flow time. A multi-criteria optimization method with weighted aggregation was used, employing either an exhaustive search or a heuristic algorithm with nested loops, in which multiple possible combinations of operational sequences were evaluated, considering several key indicators and their respective weights. The application of the methodology in a press validated its effectiveness, providing managers with key information to prioritize the indicators according to their needs, whether optimizing resource usage or minimizing waiting times and delays. The application resulted in a 95.3% improvement in the level of utilization; a 79.3% reduction in the average completion time; a 90.5% reduction in machine waiting time; and a 90.9% decrease in product delivery delay. The results show that prioritizing the objective function leads to a balanced optimization of all indicators, improving operational efficiency and reducing flow time. This study contributes to the body of knowledge on production scheduling by offering a novel multi-criteria optimization approach in manufacturing settings. The validated methodology can be adapted to a variety of industries and offers flexibility to align with the specific interests of each organization. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Bias in Citation Visibility: Temporal Dynamics and the Unequal Life Cycle of Academic Articles. Evidence from SME and Internationalization Research(MDPI AG, 2025-12-01); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, STRUCTURAL EQUATION MODEL: INFLUENCE ON TOURIST SATISFACTION WITH DESTINATION ATRIBUTES(University of Rijeka, Faculty of Tourism and Hospitality Management, 2017-11-10); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Variables de la responsabilidad social corporativa. Un modelo de ecuaciones estructurales(Salesian Polytechnic University of Ecuador, 2022-09-29); <jats:p>El valor futuro de las organizaciones viene determinado por sus resultados económicos junto con su nivel de respuesta a las necesidadesde la sociedad y los grupos de interés, así como por el tipo de relación que establezcan con el ambiente en el que se desenvuelve e influye. Así, alcanzar altos niveles de responsabilidad social corporativa (RSC) se convierte en una necesidad para el éxito empresarial. Este tipo de investigación tiene un enfoque empírico. La investigación se orientó a identificar y validar las variables que condicionan y se relacionan con la RSC. El estudio consideró en su metodología el diseño de un instrumento a partir de investigaciones referenciales, el cual fue aplicado a 778 trabajadores. En el análisis se propuso un modelo de ecuaciones estructurales para identificar las asociaciones y relaciones para la RSC. La evaluación de este modelo de ecuaciones estructurales y su validación a través del análisis factorial confirmatorio permitió constatar, como principales conclusiones, que la responsabilidad social corporativa presenta un desarrollo condicionado por un enfoque multidimensional,donde las variables internas de la organización muestran un nivel significativo de correlación con la RSC reconocida por los clientes de laorganización, como son el liderazgo, la orientación estratégica, el diseño organizacional, la comunicación, el desarrollo de competencias profesionales, los valores organizacionales y la satisfacción laboral, y guardan una estrecha relación con las investigaciones precedentes.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Contribution margin and quantity matrix to analyze the product portfolio in the context of SMEs. Criticism of the BCG matrix and its alternatives(Informa UK Limited, 2023-09-06); ; ; Product portfolio analysis is a critical aspect of small and medium-sized enterprises (SMEs) strategic planning and decision-making. It helps SMEs assess their existing product offerings, identify areas for improvement, and make well informed decisions about which products to keep, discontinue, or add to their portfolio. This type of analysis is crucial for SMEs as it enables them to optimize their product mix, allocate resources effectively, and respond to market changes, thereby ensuring growth and profitability. The objective of the research is to present a new product portfolio analysis tool that SMEs with a more efficient and effective way of evaluating their product offerings paying attention to those that cause a negative impact on performance. The Contribution Margin and Quantity Matrix (CMQ matrix) enables SMEs to gain a deeper understanding of their product mix, identify areas for improvement, and make informed decisions about which products to keep, discontinue, or add to their portfolio. This can lead to increased efficiency, better resource allocation and increased competitiveness, ultimately contributing to the success and profitability of the SME. The proposed instrument allowed decisions to be made after being applied in the analysis of the product portfolio of a retail store. The application of the proposed matrix allowed the analysis and decision making in relation to the product portfolio of an SME, facilitating an improvement in the performance indicators of the products studied. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression(MDPI AG, 2025-06-24); ; ; This study reframes closure intention in small- and medium-sized enterprises (SMEs) as an ex ante diagnostic signal rather than a post-mortem symptom of failure. The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. A binomial logistic regression model correctly classified 71% of the cases and explained 30% of variance. Five variables proved decisive: low-level liquidity (OR = 0.84), a high debt-to-equity ratio (1.41), weak profitability (0.14), negative environmental perceptions (1.72), and a shorter operating tenure (0.91); the sector and the firm size were non-significant. The combined CFA-SEM-logit sequence yields practical early warning thresholds—debt-to-equity ratio > 1.4, current ratio < 1.0, and ROA < 0.15—that lenders, advisers, and entrepreneurs can embed in dashboards or credit screens. Recognizing closure intention as a rational, strategic step challenges the stigma surrounding exit and links financial distress and the strategic exit theory. Policymakers can use the findings to pair debt relief and liquidity programs with cognitive bias training that helps owners interpret risk signals realistically. For scholars, the results highlight closure intention as a dynamic learning process, especially pertinent in emerging economies characterized by informality and institutional fragility.