Revista REGEP
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AN IDENTIFICATION OF THE PAIN POINTS EXPERIENCED BY ONLINE ENGLISH LEARNERS USING OPEN UNIVERSITY PLATFORMS
Get PDFObjective: This paper aims to identify the piantpoints that the online English learners encountered in the journey of experiencing the online Bachelor of Arts in English program at an open university, Ho Chi Minh City Open University (HCMCOU)
Theoretical Framework: focuses on online training system worldwide and in Vietnam, the positive and negative experiences of online learners, some previous online learning models and learners’ pain points.
Method: The research methodology adopted is a qualitative approach with the tool of in depth interviewing 30 online learners completing one semester of experencing this course at HCMCOU. Each research participant takes about 15 minutes to share their learning experences and paintpoints struggled with. Then, the qualitative collection, is grounded to understand learners’ meanings, experiences, and perspectives for theory developing.
Results and Discussion: The research findings demonstrates that while online learners value flexibility and skill improvement, they struggle with scheduling, group work, lecturer communication, and monotonous content. Crucial painpoints include technical issues, outdated content, limited interaction, poor organization, slow support, and demotivation.
Research Implications: This writing has scientific and educational significance, providing evidence to help improve the quality of training, support students to overcome challenges and help them proactively find effective learning solutions.
Originality/Value: This study contributes to providing in-depth insights into the unique challenges faced by online English learners at an open university, using qualitative interviews to capture their lived experiences. Its value lies in informing data-driven improvements to program design, support services, and teaching practices, ultimately enhancing learning outcomes and learner retention
KNOWLEDGE-SHARING PRACTICES IN MONITORING AND EVALUATION: THE INFLUENCE ON THE PROGRAMME PERFORMANCE
Get PDFObjective: The objective of this study is to investigate the influence of knowledge-sharing practices in monitoring and evaluation on programme performance, to establish the correlation between knowledge–sharing practices in monitoring and evaluation and programme performance
Theoretical Framework: This study's theoretical framework is based on knowledge management theory, which guides the effective management of knowledge throughout the project lifecycle. Likewise, the SECI model contributes to the theoretical framework, which suggests that knowledge is created and transformed through socialization, externalization, combination, and internalization.
Method: The mixed-methods approach research design combined qualitative and quantitative data collection methods. The research population was 465, with a sample size of 215. Surveys, key informant interviews, and focus group discussions were used for data collection. Frequencies, percentages, standard deviations, and correlation coefficient statistics were used for analysis.
Results and Discussion: The study found that M&E knowledge-sharing practices and livelihood programme performance had a composite means of 3.935 and 3.88 respectively, implying the presence of knowledge–sharing practices and agreement that the programme performed. The study established that there existed a statistically significant correlation (r = 0.472, p < 0.001) between M&E knowledge-sharing practices and livelihood programme performance implemented by Caritas Meru, Kenya. The knowledge-sharing practices found to be statistically significant were knowledge documenting (r = 0.463, p < 0.001) and knowledge dissemination through group meetings (r = 0.584, p < 0.001).
Research Implications: The study recommends the establishment of frameworks within development programmes by county and national governments, NGOs and other project organizations to ensure knowledge documenting and dissemination for programme/project performance.
Originality/Value: This study contributes to the literature by establishing a positive correlation between knowledge-sharing practices and performance in livelihood programmes. A well-structured knowledge management framework in M&E for effective programme performance is advocated for by this research
THE SIGNIFICANCE OF (AI) APPLICATION IMPLEMENTATION OVER TRADITIONAL RECRUITMENT IN LIBYAN HUMAN RESOURCE MANAGEMENT (HRM)
Get PDFObjective: Libyan human resource management (HRM) traditional recruitment methods often rely on subjective assessments and limited data analysis, which can lead to inefficient hiring practices. In contrast, the integration of Artificial Intelligence (Ai) applications promises a more streamlined and effective recruitment process.
Theoretical Framework: a comprehensive literature review was conducted to generate a set of organizational advantages by adopting artificial intelligence Ai in recruitment processes enhancing the efficiency and effectiveness of hiring practices. By automating repetitive tasks, (Ai) allows human resource professionals to concentrate on more strategic activities.
Method: this study aims to explore impacts of technology on acquisition of human capabilities through recruitment and this effect on organizational effectiveness which when comparing the approaches is the most suitable to be conducted with the inductive approach. The inductive approach allowed the authors to gather data from the literature about how Ai affects HRM and recruitment, which were able to later compare and support with the help of established theory from the field.
Results and Discussion: Ai systems can help mitigate biases that often plague traditional recruitment, leading to a more diverse and inclusive workforce. As organizations in Libya navigate a rapidly evolving economic landscape, the adoption of AI in recruitment emerges as a crucial factor in achieving competitive advantage and fostering a robust talent pool.
Results Implication: By leveraging Ai, Libyan organizations can foster a more agile and responsive recruitment framework, ultimately leading to the cultivation of a skilled workforce capable of navigating the challenges of an evolving economic landscape. This shift is crucial for the sustainable growth of HRM in Libya
FINANCIAL STRATEGIES TO EMPOWER ENTREPRENEURS. SUCCESS STORIES
Get PDFObjective: This study explores how financial and marketing strategies empower entrepreneurs to achieve sustainable business success in challenging contexts.
Theoretical Framework: The research builds upon theories of strategic marketing, financial management, and entrepreneurship to demonstrate the necessary synergy between these areas and their impact on business growth.
Method: A mixed-methods approach was employed, combining qualitative interviews with entrepreneurs and quantitative surveys. The interviews explored their experiences and perceptions, while the surveys evaluated key business performance indicators.
Results and Discussion: Results reveal that integrating robust financial strategies with effective marketing enhances brand recognition, customer loyalty, and business sustainability. Digital platforms were identified as a key catalyst to maximize reach and client interaction.
Research Implications: This study underscores the value of specialized guidance for entrepreneurs in both areas, providing practical tools to enhance competitiveness and resilience in evolving markets.
Originality/Value: The research offers an interdisciplinary perspective on how combining marketing and finance creates a comprehensive model for business success, emphasizing the importance of strategic balance
ASSESSING A FINE-TUNED SCRUM AI AGENT: ACCURACY, UTILITY, AND EXPERT VALIDATION
Get PDFPurpose: This study aims to address the inaccuracies present in default large language models (LLMs) concerning Scrum and Agile methodologies by developing and evaluating a specialized AI model fine-tuned for these domains.
Theoretical Framework: Grounded in Agile principles and Scrum frameworks, this research integrates systems thinking and pattern languages to enhance the AI model's understanding and application of Scrum practices.
Design/Methodology/Approach: The research commenced with a pre-trained LLM, which underwent targeted fine-tuning using a curated dataset comprising established Scrum patterns, systems thinking principles, and real-world scenarios from authoritative Scrum literature. Advanced prompt engineering techniques, including Chain of Thought (CoT) and Role-Playing, were employed to enhance the model's reasoning and context-specific response generation. The model's performance was assessed through quantitative metrics and qualitative evaluations by Scrum experts.
Findings: The fine-tuned model demonstrated superior performance over general-purpose LLMs in generating accurate, relevant, and actionable responses aligned with empirical Scrum practices. Quantitative analyses revealed significant improvements in accuracy and context relevance, while qualitative feedback from experts highlighted the model's enhanced understanding of nuanced Scrum scenarios.
Research, Practical & Social Implications: This study underscores the potential of domain-specific fine-tuning in mitigating misinformation propagated by general-purpose LLMs. Practically, the developed model serves as a reliable tool for Scrum practitioners seeking guidance, thereby improving Agile implementation outcomes. Socially, the research contributes to the broader discourse on responsible AI deployment, emphasizing the need for contextual awareness in AI applications.
Originality/Value: This research pioneers the fine-tuning of LLMs specifically for Scrum and Agile methodologies, offering a novel solution to the inaccuracies prevalent in default models. The integration of advanced prompt engineering techniques and the emphasis on empirical Scrum practices contribute uniquely to both AI and Agile communities
DUE PROCESS IN SPORTS ARBITRATION: THE APPLICABILITY OF ARTICLE 6 ECHR TO CAS PROCEEDINGS
Get PDFObjective: The objective of this study is to investigate the applicability and enforceability of Article 6 of the European Convention on Human Rights (ECHR) in the context of arbitration before the Court of Arbitration for Sport (CAS), with the aim of assessing whether CAS proceedings comply with the procedural guarantees of a fair trial, particularly in light of their quasi-mandatory nature for professional athletes.
Theoretical Framework: This research is grounded in the legal theory of human rights enforcement, international arbitration law, and the principle of procedural fairness. The work draws upon jurisprudence of the European Court of Human Rights, Swiss arbitration doctrine, and scholarly contributions regarding binding arbitration and access to justice. Jan Paulsson’s theory on the state’s role in legitimizing arbitral authority, as well as the European Court’s evolving interpretation of Article 6, provides a foundation for analyzing the legal status of CAS.
Method: The methodology adopted for this research comprises a qualitative, doctrinal legal analysis of primary legal sources (e.g., ECHR, CAS Code, Swiss arbitration laws) and case law (ECtHR and Swiss Federal Tribunal rulings). Data collection was conducted through legal document review, including academic commentary, international arbitration jurisprudence, and comparative legal frameworks. The approach is analytical and interpretive, aiming to identify how procedural rights are conceptualized and applied within CAS proceedings.
Results and Discussion: The results revealed that CAS, although structured as a private arbitral body, performs a quasi-judicial function and is bound to uphold the guarantees of Article 6 of the ECHR. The discussion contextualizes this finding by comparing sports arbitration with traditional voluntary arbitration, highlighting the structural imbalance between athletes and sports federations. The Mutu and Pechstein judgment is examined as a turning point in recognizing CAS’s obligations under human rights law. The study also acknowledges limitations related to the limited scope of judicial review available under Swiss law.
Research Implication: The practical and theoretical implications of this research suggest that procedural safeguards in sports arbitration must be reinforced through further reforms of CAS rules and closer judicial scrutiny by the Swiss Federal Tribunal. These insights are relevant for international sports law, human rights compliance in private legal orders, and institutional governance of dispute resolution in global athletics.
Originality/Value: This study contributes to the literature by offering a focused legal analysis of CAS’s compatibility with Article 6 ECHR, emphasizing its unique status as a de facto mandatory arbitral body. The originality lies in synthesizing ECtHR and Swiss jurisprudence to assess how fundamental rights operate within a specialized, non-state adjudicative mechanism. The relevance of this research is demonstrated by its implications for athlete protections and the legitimacy of international sports governance
IMPACTO EN LAS DECISIONES DE CONSUMO: ANÁLISIS COMPARATIVO DE PRECIOS AL CONSUMIDOR DE LA CANASTA BÁSICA EN MÉXICO
Get PDFObjetivo: Analizar las variaciones en los precios al consumidor de la canasta básica en México y su capacidad de influir en la toma de decisiones informadas sobre la compra de bienes y/o servicios según los grupos y ámbitos utilizados por instituciones públicas mexicanas.
Marco Teórico: Se analiza indicadores económicos clave para medir la inflación y su efecto en el poder adquisitivo en México. Se consideran factores como la oferta y demanda, política monetaria (Cavazos y Rivas, 2009), comercio internacional e impactos de eventos globales (Almagro, 2007; Gopinath, 2021; Alvarado, 2022; Hernández et al., 2023) Asimismo, se incorporan teorías motivacionales que destacan la importancia de cubrir necesidades básicas como fundamento para el diseño de políticas públicas eficaces.
Método: Se utilizó un diseño no experimental, transeccional correlacional con alcance descriptivo. Se aplicó un análisis de varianza (ANOVA) de dos vías con interacción para estudiar cómo las combinaciones de grupos y ámbitos de bienes y servicios (variable independiente) ofertados por diferentes empresas afectan el valor de la Canasta de Consumo Mínimo (variable dependiente).
Resultados y Discusión: El impacto del grupo y ámbito de bienes sobre el valor de la CCM depende del nivel de clasificación geográfica de la empresa ofertante. Las diferencias en precios entre organizaciones influyen en las decisiones de compra, permitiendo a los consumidores ajustar sus patrones y buscar alternativas económicas.
Implicaciones de la investigación: El análisis de precios en la canasta básica identifica tendencias de costos según contexto geográfico, facilitando el diseño de estrategias comerciales efectivas y una mejor respuesta a las necesidades del consumidor.
Originalidad/Valor: El estudio ofrece una visión integral de los costos de la canasta básica en México, considerando la variabilidad geográfica y criterios institucionales, con el fin de optimizar decisiones familiares y ampliar el conocimiento del mercado
PROMOVENDO A DIVERSIDADE NAS UNIVERSIDADES: IDENTIFICAÇÃO INTELIGENTE DA COR DA PELE COMO FERRAMENTA PARA POLÍTICAS DE COTAS
Get PDFObjetivo: O presente estudo propõe o desenvolvimento de uma ferramenta baseada em Redes Neurais Convolucionais (CNN) para aprimorar a verificação da autodeclaração da cor da pele em processos seletivos, como em vestibulares da VUNESP. O objetivo é reduzir subjetivamente e tonar o processo mais eficiente e transparente.
Referencial Teórico: A pesquisa fundamenta-se em estudos sobre equidade no ensino superior e na utilização de técnicas de Deep Learning na classificação de imagens. Modelos baseados em CNNs têm demonstrado alto desempenho em reconhecimento de padrões fenotípicos, mas desafios como viés algorítmico e qualidade das bases de dados precisam ser abordados.
Método: Foram utilizadas bases de dados públicas e privadas no treinamento dos modelos de CNN, empregando técnicas de pré-processamento e balanceamento de classes para minimização de distorções. O modelo ResNet50 foi escolhido por sua capacidade de aprender padrões complexos e evitar problemas de degradação do gradiente.
Resultados e Discussão: Os experimentos demonstraram que, apesar da viabilidade da solução proposta, a quantidade e padronização dos dados privados impactam significativamente a precisão do modelo. A análise comparativa entre bases de dados mostrou discrepância, reforçando a necessidade de uma curadoria rigorosa dos dados para garantir imparcialidade.
Implicações da Pesquisa: O estudo reforça a relevância de aprimoramento das bases de dados institucionais e a possibilidade de integrar IA como ferramenta de suporte em processos de heteroidentificação.
Originalidade/Valor: A proposta inova ao explorar Deep Learning para um problema pouco abordado, sugerindo caminhos para tornar a aplicação de políticas afirmativas mais justa e eficiente
THE EFFECT OF CAPACITY PLANNING ON SUPPLY CHAIN PERFORMANCE OF MANUFACTURING FIRMS
Get PDFObjective: The objective of the study was to find the effect of capacity planning on supply chain performance of manufacturing firms.
Theoretical Framework: The main concepts and theories that underpin the research include: Transation cost theory, Resource Based view and social capital theory.
Method: The methodology adopted for this research comprises the positivism philosophy. Similarly, the study adopted the cross-sectional survey design, which is the most appropriate to deduce whether there exists a relationship that is significant among the study variables. The study was carried out among 518 manufacturing firms in Kenya, using semi-structured questionnaire out of which 491 were returned whereby only 457 were well filled as 34 were poorly filled or blank. The response rate was 88.2%. The data was collected from both primary and secondary sources. The relationship between the variables were tested using simple linear and multiple regression analysis.
Results and Discussion: The results obtained revealed that the effect of capacity planning on supply chain performance was statistically significant at both variable and indicator level analysis. In the discussion section, these results are contextualized in light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section.
Research Implications: This implies that capacity planning indicators of demand forecasting, capacity expansion and equipment selection are key in determining supply chain performance and are very fundamental in the firms’ operations in determining the quantity of goods or services to be manufactured at a given time to satisfy the demand of customers. Hence, the RBV theory was fully supported by the findings of this study.
Originality/Value: This study contributes to the literature by operationalization and conceptualization of the variables to guide future research. The findings from this study contribute to the body of knowledge in the area of strategic supplier alliance, capacity planning, supply chain performance and firm performance. The study suggests future studies which it deems important in contributing to future knowledge in research works. It is recommended that other studies should be done there using other popular measures of capacity planning and supply chain performance since this study used only indexes of supply chain performance and qualitative data for capacity planning
A BIBLIOMETRIC ANALYSIS OF HUMAN-CENTERED LEADERSHIP: PAST, PRESENT, AND FUTURE PATHS
Get PDFObjective: This study seeks to examine the progression of Human-Centered Leadership (HCL) by bibliometric analysis, concentrating on the identification of theme trends, research deficiencies, and interdisciplinary contributions. The study aims to delineate the intellectual evolution of HCL and its ramifications for modern leadership methodologies.
Theoretical Framework: This study is based on leadership theories, including transformational and servant leadership, emotional intelligence, and human-centered organisational models. The research examines how HCL incorporates these established concepts to develop a sustainable and inclusive leadership model.
Method: A bibliometric analysis was performed utilising data from the Scopus database, spanning the years 1988 to 2024. The research employed co-citation analysis, theme mapping, and keyword network analysis using Biblioshiny, a bibliometric program based on R. The final dataset comprised 93 peer-reviewed documents following refining using established inclusion and exclusion criteria.
Results and Discussion: The data revealed a 9.47% yearly growth rate in HCL-related research, highlighting major themes such as empathy, emotional intelligence, and workplace inclusion. Emerging themes, including digital transformation and hybrid work paradigms, were also emphasised. The research emphasises the necessity for multidisciplinary and cross-cultural investigations to improve HCL's relevance in various organisational settings.
Research Implications: The results offer theoretical contributions to leadership research and practical implications for organisations aiming to cultivate human-centered leadership. The study emphasises the necessity of incorporating empathy and social intelligence into leadership tactics, affecting employee engagement, organisational performance, and workplace creativity.
Originality/Value: This study enhances leadership literature with a thorough bibliometric analysis of HCL, pinpointing research deficiencies and suggesting future avenues for exploration. Its uniqueness resides in charting the progression of HCL and offering evidence-based guidance for practitioners and academics in organisational leadership