Revista REGEP
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A STUDY OF EVOLVING CLOUD COMPUTING DATA SECURITY: A MACHINE LEARNING PERSPECTIVE
Full text linkObjective: The objective of this study is to investigate the application of machine learning (ML) techniques in enhancing cloud security, with the aim of improving threat detection and mitigation strategies for cloud-based systems.
Theoretical Framework: In this research, the main concepts and theories that underpin the research are presented. Cloud security frameworks and ML-based security methodologies stand out, providing a solid basis for understanding the context of the investigation.
Method: The methodology adopted for this research comprises an investigative study on cloud computing, focusing on key security vulnerabilities and the role of ML-based solutions. Data collection was carried out through an analysis of security challenges, including unauthorized access, data breaches, denial-of-service attacks, and insider threats.
Results and Discussion: The results obtained revealed that ML-based security solutions significantly enhance cloud security by enabling early threat detection and effective mitigation strategies. In the discussion section, these results are contextualized considering the theoretical framework, highlighting the implications of ML in cloud security.
Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of cloud security. These implications could encompass cybersecurity frameworks, cloud service providers, and industry regulations.
Originality/Value: This study contributes to the literature by demonstrating the effectiveness of ML-based security mechanisms in addressing cloud vulnerabilities. The relevance and value of this research are evidenced by its potential impact on improving security measures in cloud computing, guiding future research on optimizing ML models and developing more robust security mechanisms
THE IMPACT OF SHARING PROJECT ASSESSMENT REPORT ON SUSTAINABILITY OF PUBLIC BOREHOLE WATER PROJECTS IN KITUI COUNTY-KENYA
Full text linkObjective: The study aimed to investigate how sharing projects assessment reports influences sustainability of public boreholes water projects in Kitui County-Kenya
Theoretical Framework: This study uses Utilization-focused evaluation theory, which emphasizes learning from evaluation findings and supports ongoing evaluation with continuous data collection and real-time results throughout the program.
Methods: Regarding philosophical perspectives, the study was based on a pragmatic research paradigm. Mixed method research design was adopted in this study while employing a sample of 199 public borehole water projects where 605 respondents were targeted. Both qualitative and quantitative methods were used concurrently to gather and analyze data. Descriptive statistics and inferential statistics used for used for data analysis.
Results and Discussion: The model was significant (adjusted R² = 0.06, F(1, 188) = 12.37, p < 0.05), showing that sharing project assessment reports explained 6% of the variance in sustainability, with the remaining 94% attributed to other factors. Additionally, sharing project assessment reports was positively and significantly associated with sustainability (β = 0.27, t = 3.52, p < 0.05).
Research Implication: The findings offer practical guidance to project managers on effectively sharing assessment reports during monitoring and evaluation, promoting successful project outcomes and sustainability. They also highlight the importance of report sharing in enhancing the sustainability of water-related projects.
Originality/Value: The study contributes to the literature by promoting the approach of sharing project assessment reports to enhance the sustainability of public borehole projects in the context of today's evolving project sustainability landscape
IMPLEMENTATION OF SISPREÇO - PRICE SURVEY SYSTEM RECEIVED BY RURAL PRODUCERS FOR STRATEGIC DECISION-MAKING IN STATE OF ESPÍRITO SANTO, BRAZIL
Full text linkPurpose: This article highlights the importance of implementation of the Price Survey System Received by Rural Producers (SisPreço) at the Capixaba Institute of Research, Technical Assistance and Rural Extension (Incaper). The system was developed between 2022 and 2023 and implemented between December 2023 and August 2024, with the aim of systematizing the collection and dissemination of price data for the main agricultural products produced in Espírito Santo and providing timely information for Strategic Decision-Making.
Framework: The literature review cited cases of other institutions that carry out price surveys similar to Incaper. However, the focus of the study was to present the case of Incaper.
Design/Methodology/Approach: The methodology used was exploratory in nature, through a case study of the implementation of SisPreço at Incaper.
Conclusions: SisPreço is currently used to launch price quotations in 70 municipalities in the State and has proven to be an essential tool for professionals in the agricultural sector who wish to speed up the process of obtaining accurate information on the prices of agricultural products, as well as analyzing market trends. The use of the system allowed greater survey precision and price dissemination.
Research, Practical & Social Implication: Price surveys are widely used as a reference for strategic decisions in various sectors of the economy and society, in addition to more precisely contributing to the planning of public policies and market analyses.
Originality/Value: Data systematization through SisPreço opens up new possibilities for advanced analysis, such as predictive modeling and integration with other agricultural databases, expanding the impact of price survey for government and business decision-making in agribusiness
AVALIAÇÃO DO SISTEMA DE ILUMINAÇÃO EM UM EDIFÍCIO UNIVERSITÁRIO – ASPECTOS DA EFICIÊNCIA ENERGÉTICA
Full text linkObjetivo: Este estudo tem como objetivo propor a Etiqueta Parcial Nacional de Conservação de Energia em um edifício universitário, com o intuito de avaliar o nível de eficiência energética do sistema de iluminação.
Referencial Teórico: O trabalho foi fundamentado nas publicações do PBE (Programa Brasileiro de Etiquetagem), com finalidade de combater o desperdício de energia e incentivar o uso racional da energia nas edificações residenciais, comerciais, públicas e de serviços.
Método: A metodologia adotada compreendeu a caracterização do local de estudo, análise do desempenho do sistema de iluminação artificial e aplicação do método prescritivo do RTQ-C. A coleta de dados foi efetivada por visitas in loco, levantamento iconográfico e análise dos projetos executivos.
Resultados e Discussão: A potência instalada total do edifício não ultrapassou o limite para nível A, comparando-se com as DPIL. Entretanto, quando da aplicação dos pré-requisitos, o nível foi rebaixado para B, em função do ambiente “circulação” não possuir desligamento automático, não atendendo ao pré-requisito do RTQ-C. Caso seja adotado o sistema de desligamento automático, a classificação será otimizada.
Implicações da Pesquisa: As implicações práticas e teóricas desta pesquisa são discutidas, fornecendo insights sobre como influenciar práticas no campo da eficiência energética das edificações, abrangendo desde a economia de energia até a utilização de recursos naturais, contribuindo para a sustentabilidade ambiental.
Originalidade/Valor: Apresenta-se uma contribuição científica e social, evidenciando a difusão da sustentabilidade ambiental em edifícios, por meio de estudos que abranjam a preocupação energética, conscientizando o profissional atuante para que este seja personagem importante na preservação do meio ambiente
MONITORING AND EVALUATION OF AGRICULTURAL-BASED PROJECT OUTCOMES ON HOUSEHOLD FOOD SECURITY IN MURANG’A COUNTY, KENYA
Full text linkObjectives: This study investigates the role of monitoring and evaluation (M&E) practices in improving agricultural project outcomes and addressing household food insecurity in Murang’a County, Kenya.
Theoretical Framework: Grounded in Change Theory, this study highlights how systematic M&E processes align activities with project goals, promoting accountability, resource optimization, and outcome sustainability.
Method: A mixed-methods approach was utilized, collecting quantitative data from 383 respondents through structured questionnaires and qualitative insights via interviews. Regression and correlation analyses were applied to identify significant relationships.
Results and Discussion: Findings revealed a significant positive correlation (r = 0.201, p < 0.05) between robust M&E frameworks and food security improvements. Key factors included readiness assessments, accountability, and produce storage. Challenges such as limited funding and inadequate training hindered effectiveness.
Research Implications: Policymakers are encouraged to integrate community-inclusive, results-based M&E systems into agricultural projects. Recommendations include capacity building, technological adoption for real-time data, and fostering stakeholder collaboration to ensure sustainability.
Originality/Value: This research advances the understanding of M&E’s role in achieving sustainable agricultural outcomes. It provides a replicable model for improving food security in similar rural contexts through effective monitoring frameworks
GENDER ISSUES AND INVESTMENT DECISIONS: AN EXPLORATORY STUDY FOR THE BRAZILIAN FINANCIAL MARKET
Full text linkPurpose: The objective of the paper is to assess the behavioural of female investors in Brazilian financial market, taking into consideration the following dimensions: risk tolerance; confidence level; financial literacy; herd behaviour; and return on investment.
Theoretical framework: According to the literature, when compared to men, women tend to have a lower tolerance for financial risk, a lower confidence level, less financial knowledge, and a greater level of herd behaviour.
Methodology: It is used a quantitative method based on a questionnaire survey made up of 33 questions. There were collected 305 answers.
Findings: When compared to men, Brazilian female investors have a lower tolerance for risk, a lower level of confidence, less financial knowledge and a greater propensity to herd behaviour, results that are in line with those previously established in the literature. However, there are no significant differences between the returns obtained by both genders.
Research Implications: By analysing the relationship between sociodemographic variables, particularly gender, and behavioural issues, the work provides useful indications for financial institutions in Brazil and promotes research in the field of behavioural finance.
Originality/Value: To our knowledge, this is the first study on gender differences in the Brazilian financial market to involve such a wide range of variables. Therefore, it may be of interest to academics, investors and financial institutions themselves
FACTORS INFLUENCING ELECTRONIC TEACHER PERFORMANCE APPRAISAL AND DEVELOPMENT SYSTEM IMPLEMENTATION IN PUBLIC PRIMARY SCHOOLS
Full text linkObjective: This paper sought investigate the factors influencing electronic teacher performance appraisal and development system implementation in public primary schools in Kitui County, Kenya. Influencing factors considered were feasibility study, human resource management, communication management and e-readiness
Theoretical Framework: The study was anchored on; Stakeholders’ theory and The Diffusion of Innovations Theory.
Method: the study employed a mixed research design. Questionnaires and interview schedules were administered to 384 respondents. Descriptive and inferential statistics were used to analyze the data.
Results and Discussion: The survey established that all the four factors had a positive correlation on the implementation of on electronic teacher performance appraisal and development system implementation in public primary schools in Kitui county. Feasibility study and communication management had a moderate correlation while both human resource management and ereadiness showed a weak correlation on electronic teacher performance appraisal and development system implementation in public primary schools,.
Research Implications: The study found that human resource management and e-readiness had the least influence on the electronic teacher performance appraisal and development system implementation in public primary schools. The survey recommends that government sectors’ managers in Kenya should ensure thorough and adequate considerations specifically on e-readiness and human resource management such as recruitment of qualified technical personnel are technically well trained and highly motivated to implement e-service projects in order to be accomplished within the scope, budget, time and of quality. That, government should empower network service providers to enhance network connections in all regions in the country.
Originality/Value: This research advances the understanding of project initiation processes role in achieving e-services implementation. It provides a replicable model for understanding electronic readiness in public primary teachers before implementation of e-services
THE ROLE OF PROJECT TEAM INTEGRATION ON TIME, COST, SITE DISPUTE AND QUALITY DURING THE EXECUTION OF COURT BUILDINGS IN KENYA
Full text linkBackground: Project team integration is a critical characteristic influencing the effective execution of projects. However, court-building projects in Kenya, funded by the World Bank and the Government, have experienced significant delays and cost overruns.
Objective: This study hypothesizes that project team integration does not significantly affect the execution of court buildings in Kenya concerning time, cost, site disputes, and quality.
Methods: A mixed-methods research strategy was employed, incorporating questionnaires, interview guides, and document content analysis. The validity and reliability of the results were verified using principal component analysis and Cronbach alpha approaches. Descriptive statistics analysed quantitative data, while correlation and regression analyses were used for inferential statistics.
Results: The findings indicated that project team integration significantly influenced project execution in terms of time but did not have a notable impact on cost, site disputes, or quality.
Conclusion: This study highlights the importance of team integration as a key driver for efficiency and success within the construction industry. By fostering collaborative and cohesive team environments, organizations can achieve substantial improvements in project scheduling and timely completion, ultimately ensuring the successful delivery of high-quality infrastructure projects.
Implications: The research provides valuable insights for project management practitioners, policymakers, scholars, and stakeholders involved in court construction implementation in Kenya
THE IMPACT OF INFORMATION TECHNOLOGY ON FINANCIAL INCLUSION: A STUDY ON A SAMPLE OF COMMERCIAL BANKS IN BATNA PROVINCE, ALGERIA
Full text linkObjective: This study aims to examine the impact of information technology on financial inclusion, focusing on tools such as mobile applications, digital wallets, and online payment systems. The primary objective is to assess the extent to which these technologies enhance access to financial services.
Theoretical Framework: The study is grounded in the concepts of financial inclusion and digital transformation in the banking sector. It draws upon theories of technological innovation and technology adoption, alongside prior research that emphasizes the role of digital tools in expanding financial access, particularly in developing regions.
Method: A quantitative approach was employed. A structured questionnaire was distributed to a random sample of 50 employees from commercial banks in Batna Province, Algeria, with 43 valid responses collected (response rate: 86%). Data were analyzed using SPSS version 26, incorporating descriptive statistics, Cronbach’s alpha for reliability, correlation analysis, normality testing, and multiple linear regression.
Results and Discussion: The findings indicate a significant and positive effect of online payment systems on financial inclusion, which emerged as the most influential factor. Although mobile applications and digital wallets also showed positive correlations with financial inclusion, their effects were not statistically significant in the regression model. These results suggest the need to address challenges such as adoption barriers and usability issues to fully realize the potential of these tools.
Research Implications: The study provides practical and theoretical insights into how digital technologies can enhance financial inclusion within the regional banking sector. It highlights the need for improved digital infrastructure and user engagement to optimize the impact of technological tools.
Originality/Value: This research fills a contextual gap by offering empirical evidence from Algeria on the relationship between information technology and financial inclusion. It contributes to the literature by emphasizing the central role of online payment systems and offers actionable recommendations for banking institutions aiming to advance inclusive finance through digital innovation
USE OF ARTIFICIAL INTELLIGENCE TOOLS AT A TECHNOLOGICAL UNIVERSITY IN THE EAST OF THE STATE OF MEXICO
Full text linkObjective: This study identify the impact of AI usage among students at the Instituto Tecnológico de Estudios Superiores de Chalco, Mexico, in order to determine the most commonly used academic activities for learning and the effect on academic performance.
Theoretical Framework: The use of Artificial Intelligence (AI) as a tool for university students is becoming increasingly common, drawing the attention of various authors, as noted by Gamboa et al. (2025). Despite advantages such as personalized learning, increased efficiency in administrative tasks, and improved communication, there are also disadvantages, including data privacy concerns, excessive dependence on AI, and ethical considerations.
Method: A convenience sample was selected based on the inclusion criteria: university students from the Technological Institute of Chalco, men and women aged 17 to 34, who were willing to participate in the study. Exclusion criteria were: students who did not wish to participate in the survey and those who did not answer the instrument correctly. A total of 238 students were considered, corresponding to 12% of the population. This sample size is based on the Central Limit Theorem. The data collection instrument was applied, which corresponds to a survey designed by the working group and consists of 19 questions divided into three sections.
Results and Discussion: As a result, 238 responses were collected, representing 12% of the total student body, with 99.6% of respondents reporting that they use AI tools. The most frequent uses include information retrieval, text translation, problem-solving, and image generation. While the majority of respondents did not report perceiving an impact on their academic formation, some highlighted the importance of independently developing ethical and moral values to ensure the responsible use of AI. We conclude that AI is undeniably a support tool in managing the teaching-learning process, though it necessitates the promotion of ethical and moral values. Students should be encouraged to use these tools to strengthen their academic and professional training, while avoiding increased dependency on technology, fostering effort, and complementing—rather than replacing—other learning tools.
Research Implications: This research provides an in-depth analysis of the use and adoption of AI tools, offering evidence on how these technologies are transforming educational processes. The findings serve as a foundation for institutional policy-making aimed at promoting teacher training, digital infrastructure, and curriculum design aligned with 21st-century competencies.
Originality/Value: This is a pioneering study that addresses, from a contextualized and applied perspective, the integration of AI tools in a technological university located in eastern Mexico—a region that faces specific challenges in terms of infrastructure and access to emerging technologies. The originality of the study lies in its combination of quantitative and qualitative analysis to evaluate not only the extent of AI usage, but also students’ perceptions, the barriers they face, and the opportunities they identify. The value of this research lies in its provision of key inputs for designing educational digital transformation strategies adapted to regional contexts, helping to reduce technological gaps and improve the quality of education in technological higher education institutions