Browsing by Author "Pariona Luque, Rosario Blanca"

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Assessing Data Analytics Capabilities in Retail Organizations: Insights into Mining, Predictive Analytics and Machine Learning.
(World Scientific and Engineering Academy and Society., 2024-07) Pariona Luque, Rosario Blanca; Pacheco, Alex Abelardo; Vegas-Gallo, Edwin; Castanho, Rui Alexandre; Lema, Fabián; Huaman-Valle, Angela; Añaños-Bedriñana, Marco A.; Marín, Wilson; Felix-Poicon, Edwin Carlos Lenin; Loures, Ana
Nowadays, implementing data analytics is necessary to improve the collection, evaluation, analysis, and organization of data that allow the discovery of patterns, correlations, and trends that improve knowledge management, development of strategies, and decision-making in the organization. Therefore, this study aims to provide an accurate and detailed assessment of the current state of data analytics in the retail sector, identifying specific areas of improvement to strengthen knowledge management in organizations. The research is applied with a quantitative approach and non-experimental design at a descriptive and propositional level. The survey technique was used, and as a data collection instrument, a questionnaire addressed to 351 employees of companies in the retail sector concerning the variable data analysis with the dimensions of data extraction, predictive analysis, and machine learning and the variable management of the knowledge with the dimensions knowledge creation and knowledge storage. The results show that 52.99% of collaborators indicate that the level of data extraction is terrible, 57.83% indicate that the level of predictive analysis is wrong, and 54.99% express that the level of machine learning is average, which contributes to the implementation of innovative resources and solutions that promote the inclusion of a high-tech approach to address information management problems and contribution to the development of knowledge in an institution.
Evaluation of Strategic Human Resource Management in Local Authorities: A Focus on Organizational Culture and Job Motivation
(World Scientific and Engineering Academy and Society., 2024-10) Vegas-Gallo, Edwin; Pacheco, Alex Abelardo; Castanho, Rui Alexandre; Pariona Luque, Rosario Blanca; Lema, Fabián; Huaman-Valle, Angela; Añaños-Bedriñana, Marco A.; Lázaro Franco, Jorge; Pucuhuayla-Revatta, Félix; Loures, Luís Carlos
The strategic management of human resources in organizations is fundamental due to the competitive demands of the markets, which is why an excellent organizational culture must be maintained to increase workers' motivation. This study aims to provide specific recommendations to improve strategic human resource management in the context of municipalities, thus promoting a comprehensive transformation that increases the capacity to retain and attract valuable personnel. The research is quantitative and follows a correlational design. A questionnaire was administered to 112 employees of municipalities regarding the variable strategic human resources management with the dimensions of organizational culture, organizational climate, and personnel selection and the variable motivation with the dimensions of job satisfaction and work environment with a Cronbach's alpha reliability of 0.851. The results show that 65.18% of the workers consider that the organizational culture in the municipalities is fair, 67.86% of the workers highlight that the personnel selection capacity is inadequate, 53.75% express that the level of social relations in the organization is low, and 50% of the workers indicate that job satisfaction is fair. These results reflect that companies must increase their capacity to retain and attract stable and valuable personnel that fit the organization's profile.