Revista REGEP
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THE EFFECT OF LEADERSHIP QUALITIES ON THE PERFORMANCE OF SMALL AND MEDIUM ENTERPRISES
Get PDFPurpose: This study aims to investigate the effect of leadership qualities on the performance of Small and Medium Enterprises (SMEs), and to examine the impact leadership qualities have on SMEs' performance.
Theoretical and Framework: Leadership qualities play a role in enhancing employee job satisfaction and organizational performance. Trait theory believes that leaders are either born or made with some qualities that will make them excel in leadership roles. Leaders’ emotional intelligence, integrity, honesty, creativity, and innovation are vital for Small and Medium Enterprises' sustainability.
Design/Methodology/Approach: Descriptive design was adopted, using cross-sectional approach. Purposive sampling was used with a sample size of 400 employees of SMEs in the Accra Metropolitan Area. Usable questionnaires of 344 were analysed using IBM SPSS for the descriptive statistics with structural equation model (SEM) AMOS to investigate the extent of the relationship.
Findings: The study discovered that each of the three leadership attributes has a strong statistically significant positive link with the success of SMEs. Emotional intelligence, integrity and honesty, and creativity and invention are factors that influence SMEs' performance.
Originality/Value: This work is unique because it adds to the literature on the impact of leadership traits on SME performance, which has not been thoroughly explored in a developing nation like Ghana. The study also illustrated how to utilize a structural equation model to examine the relationship between leadership and the performance of small businesses. Furthermore, by selecting samples from various SME sectors, the study enhanced the understanding of leadership attributes
THE SCIENTIFIC PRODUCTION OF THE BRAZILIAN REVIEW OF FINANCE
Get PDFObjective: The aim of this study is to analyze the scientific output of the Brazilian Review of Finance (RBFin) from 2003 to 2017, in order to understand authorship dynamics, thematic trends, and collaboration patterns.
Theoretical Framework: This study is based on concepts from bibliometric analysis and Lotka's, Bradford's, and Zipf's laws. Bibliometric analysis is used to explore scientific productivity, while the empirical laws examine author concentration and keyword frequency.
Method: The methodology for this research involves a bibliometric analysis of articles published in RBFin between 2003 and 2017. Data collection was carried out using the journal's available archives, with Microsoft Excel and RStudio software used for data organization and modeling. A total of 251 articles were analyzed, considering aspects such as authorship, institutional affiliation, and JEL classifications.
Results and Discussion: The results showed that most articles have up to three authors and that 9% of the researchers were responsible for 63% of the published articles. The most productive institutions were PUC/RJ, FGV/SP, and USP. The predominant themes were Financial Economics and Mathematical and Quantitative Methods. The discussion contextualizes these results within the theoretical framework, highlighting the concentration of scientific production and the main research areas.
Research Implications: The practical implications of this research include identifying research trends and providing guidance for finance postgraduate programs. Theoretically, the study contributes to understanding the publication dynamics in the field of finance in Brazil.
Originality/Value: This study contributes to the literature by providing a detailed analysis of RBFin's scientific output, highlighting authorship patterns and research themes. The relevance of this research is demonstrated by offering valuable insights for researchers and institutions regarding the evolution of the finance field in Brazil
MANAGERIAL ENTRENCHMENT: SCALE VALIDATION
Get PDFObjective: This work focused on the influence of managerial entrenchment on investment decisions. The objective was to understand the main characteristics of this variable in order to develop an instrument that could measure it..
Theoretical Framework: The decision-making process in finance is influenced by several factors related to the decision maker, such as their psychological and cognitive biases, their risk tolerance, and even their intentions to entrench themselves in the management of a company. Behavioral finance began to address the complexity of the decision-making process, starting from the complexity of the individual themself, displacing the idea of the pragmatic decision of Homo economicus that traditional theory represented
Method: A questionnaire was developed and applied to a sample of 154 managers. Then, the instrument was subjected to an exploratory factor analysis and a reliability test.
Results and Discussion: The findings of this research pointed to three components for measuring managerial entrenchment. These components were called “Managers’ Decision Autonomy”, “Power Hierarchies” and “Freedom of action” in the use of the organization’s financial resources. As a result, the instrument was validated, which was found to be capable of measuring entrenchment with consistent reliability.
Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or measured management entrenchment practices in investment decision-making.
Originality/Value: Thus, this qualitative study contributes both to the finance literature by summarizing the main characteristics of managerial entrenchment and to behavioral finance studies by providing a validation instrument for one of its main subjects of study
PARTICIPATORY MONITORING AND EVALUATION ON COMPLETION OF KENYA POLICE HOUSING SCHEME PROJECTS
Get PDFObjective: The study aimed to investigate how participatory monitoring and evaluation influences completion of Kenya police housing scheme projects.
Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. Project Management Theory and Participatory Development Theory stand out, providing a solid basis for understanding the context of the investigation.
Method: Pragmatism paradigm and mixed method design were adopted. The study employed descriptive statistics involving the use of measures of central tendencies and measures of dispersion and inferential statistics to analyze quantitative data. In addition, the researcher conducted a Pearson’s correlation and a simple regression analysis.
Results and Discussion: The study found a strong correlation between the completion of Kenya police housing scheme projects and participatory monitoring and evaluation. The overall F statistics, (F =119.092, p<1.23E-46<0.05), indicated that there was a very statistically significant relationship between participatory monitoring and evaluation (development of TOR, designing participatory instruments, participatory planning for evaluation exercise, and conducting participatory fieldwork) and completion of Kenya police housing scheme projects. The study recommends that Kenya police housing scheme projects should establish an independent monitoring and evaluation department that identifies, analyses, monitors and controls housing projects.
Research Implications: The findings would contribute to practice as it would benefit construction industry professionals and contractors operating in Kenya. By adhering to efficient resource allocation practices, contractors can enhance project efficiency, minimize wastage, and adhere to budget constraints.
Originality/Value: This study contributes to the literature by enriching the existing knowledge on completion of Kenya police housing scheme projects by giving deductions on the relation to participatory monitoring and evaluation. Other scholars used the study results as a locus for future studies in regard to the role of participatory monitoring and evaluation as well as underpinning theories
THE EFFECTS ON U.S. IMPORTATION: RISE OF CRYPTOCURRENCY AND TRADITIONAL CURRENCIES
Get PDFObjective: This paper aims to investigate both short and long run interactions between the U.S. Imports, Bitcoin, Gold, and U.S. Dollar by applying monthly data from January of 2011 to December of 2023.
Theoretical Framework: The United States has been experiencing trade deficit for the past several years. Hence, prices of cryptocurrency and traditional currencies are also increasing that may serve a connection with the increasing trade deficit.
Method: This study utilized Unit Root, Auto-Regressive Distributed Lag (ARDL), and Granger Causality to examine the relationship between all the variables.
Results and Discussion: The results of this study revealed that the U.S. Dollar has a positive relationship with the increasing U.S. Imports in the short run while the rest of the variables are insignificant. Notably, Bitcoin revealed a positive significant relationship with U.S. Imports in the long run while the rest of the variables remained insignificant.
Research Implications: This study has implied that the rise cryptocurrency mainly Bitcoin and traditional currencies specifically the U.S. Dollar and Gold has an implication with the current trade deficit being faced in the United States.
Originality/Value: This study unraveled the implications of cryptocurrency and traditional currencies to a macroeconomic variable, specifically imports. Furthermore, this study wishes to contribute within the field of cryptocurrency as it can change the system of financial technology and its relationship with traditional currencies implying a greater impact for the global economy, as it is showing great potential for the future of finance with its global adoption
INTELIGENCIA ARTIFICIAL COMO IMPULSOR DE CAPACIDAD DINÁMICA DE INNOVACIÓN CASO: CERVECERÍAS ARTESANALES DE MANABÍ, ECUADOR
Get PDFObjetivo: El objetivo fue evaluar cómo la inteligencia artificial influye en la capacidad de estas cervecerías para innovar y adaptarse a entornos cambiantes.
Marco Teórico: Se estudió el impacto de la inteligencia artificial en la capacidad dinámica de innovación en las cervecerías artesanales de Manabí, partiendo de la premisa de mejorar significativamente el rendimiento y la competitividad en este sector.
Método: Se utilizó un enfoque mixto, adoptando una revisión bibliográfica con un estudio de campo, lo cual permitió analizar las variables inteligencia artificial y capacidad dinámica de innovación en las cervecerías. Los métodos descriptivo, deductivo e inductivo facilitaron el análisis de la información.
Resultados y Discusión: Los resultados mostraron una correlación positiva entre la implementación y el uso de la inteligencia artificial y diversas dimensiones de la capacidad de innovación, como la orientación al cliente y al mercado, así como el desempeño financiero e innovador. En concordancia, Ayala y Haro (2024), aseguran que la implementación efectiva de IA requiere cambios en procesos y estructuras organizacionales.
Implicaciones de la investigación: La implementación de la inteligencia artificial en las cervecerías artesanales de Manabí muestra un impacto moderado en la optimización del tiempo, la mejora de los servicios y la reducción de costos. Las capacidades dinámicas de innovación muestran una aceptación positiva del 60% en cuanto a la implementación de soluciones innovadoras y creativas donde Peñaloza y Martínez (2020), atribuyen que esta impulsa el crecimiento económico y la competitividad.
Originalidad/Valor: La aplicabilidad de la Inteligencia Artificial aporta significativamente a las capacidades dinámicas de innovación, a la orientación al cliente, al mercado y la tecnología
INFLUENCIA DE LOS ATRIBUTOS PERSONALES EN LA INTENCIÓN EMPRENDEDORA EN ESTUDIANTES UNIVERSITARIOS DESDE UNA PERSPECTIVA DE GÉNERO
Get PDFObjetivo: El objetivo de este artículo es analizar las diferencias de los atributos personales hacia la creación de empresas que tienen los estudiantes de una universidad pública en el Ecuador, la Universidad de Cuenca, con una perspectiva de género y su influencia en la intención de emprender.
Método: Se aplicó una prueba no paramétrica a una muestra de 1.100 estudiantes para determinar las diferencias entre estudiantes hombres y estudiantes mujeres, además se realizó una regresión logística binaria para establecer si el género influye en la intención emprendedora, así como los atributos personales, las redes de apoyo y la experiencia previa.
Resultados: Los resultados revelan que existen diferencias por el género en los atributos personales para emprender. Por otro lado, el género y la experiencia laboral no tienen influencia en la intencionalidad de emprender y las redes de apoyo si tienen influencia.
Conclusiones: Al ser algunos atributos personales influyentes hacia la creación de empresas, se sugiere fortalecer las habilidades blandas en las mallas curriculares de la institución de educación superior que permita crear una actitud hacia la creación de empresas, así como fortalecer las redes de apoyo de los estudiantes
EMPIRICAL ESTIMATION OF THE POTENTIAL ECONOMIC IMPACT OF TOURISM PROMOTION POLICY IN ALGERIA
Get PDFObjective: The objective of this paper is to empirically assess the economic impact of tourism promotion policies in Algeria. By utilizing an economic model based on the 2021 Social Accounting Matrix (SAM) multipliers, the study aims to quantify the direct, indirect, and induced effects of increased tourism demand on various sectors of the national economy. Specifically, the research seeks to evaluate how tourism expenditure influences production, sectoral output, and income distribution, while also identifying which sectors and economic agents benefit the most from tourism growth.
Theoretical Framework: Study is based on the Social Accounting Matrix (SAM) approach, which examines the interconnections between sectors of the economy and tracks the flow of income and expenditure. It incorporates input-output theory to measure the direct, indirect, and induced effects of increased tourism demand. The concept of economic multipliers is central, highlighting how tourism spending influences various sectors. Additionally, the framework assesses the distribution of benefits across different economic agents, focusing on how tourism impacts production, sectoral output, and income distribution in Algeria.
Method: This study uses 2021 Social Accounting Matrix (SAM) data to analyze tourism demand in Algeria. It develops an economic model, simulates scenarios, and assesses the economic gains and distribution of benefits, providing a comprehensive evaluation.
Results and Discussion: The SAM-based economic model shows that Algeria's tourism demand boosts production and output across sectors, particularly agriculture, hospitality, agri-food, construction, transportation, and energy. However, the benefits are not evenly distributed, potentially leading to income inequality. Policy interventions should focus on equitable income distribution and supporting key industries.
Research Implications: Tourism can drive Algeria's economic diversification, reducing dependence on traditional sectors. Inclusive tourism policies are needed to ensure equitable benefits for wage earners and lower-income groups. Future research should focus on sector investment and employment effects.
Originality/Value: This study analyzes the economic impacts of tourism promotion policies in Algeria, focusing on the 2021 Social Accounting Matrix. It provides insights into the distribution of benefits and emphasizes the need for inclusive policies. The findings provide actionable insights for policy development
MONITORING AND EVALUATION TOOLS AND PERFORMANCE OF CLIMATE SMART AGRICULTURAL PRODUCTIVITY PROGRAM IN KITUI COUNTY, KENYA
Get PDFObjective: The objective of this study was to investigate how monitoring and evaluation tools influence performance of climate smart agricultural productivity program in Kitui County, Kenya.
Theoretical Framework: Theory of change and systems theory stand out, providing a solid basis for understanding the context of the investigation.
Method: Descriptive survey, cross sectional and correlation research designs were used in the study. The sample size was 260 respondents. An open and close-ended questionnaire was used to collect data, which was analysed using descriptive and inferential statistics.
Results and Discussion: The results revealed that monitoring and evaluation tools have significant influence on performance of climate smart agricultural productivity program in Kitui County, Kenya. The study recommended that Monitoring and evaluation tools is a significant predictor of project performance. Therefore, program-implementing agencies should endeavour to incorporate monitoring and evaluation tools in their programs during design and implementation stages.
Research Implications: With increasing focus by the government in promoting agriculture for food and nutrition security, National Agriculture Research Systems institutions require more investments in innovative and beneficiary focused approaches. Policy makers benefit from the outcomes of the current study in developing stratagems to enhance performance of agricultural programs.
Originality/Value: This study contributes to the literature by empirically establishing that monitoring and evaluation tools has a significant influence on performance. Further, it contributes to the theory by validating the theories underpinning the study
THE ROLE OF STRATEGIC VIGILANCE IN ACHIEVING COMPETITIVE ADVANTAGE IN THE INSTITUTION - CASE STUDY OF EL SEWEDY CABLES, AIN DEFLA
Get PDFObjective: This study aims to explore the role of strategic vigilance in achieving competitive advantage for economic institutions by analyzing its ability to provide strategic information about opportunities and threats in the competitive environment.
Theoretical Framework: The research is based on theories of competitive advantage, emphasizing strategic vigilance as a modern tool for monitoring, observing, and analyzing the external environment to enhance competitiveness.
Method: A descriptive-analytical approach was used, with data collected from a sample of economic institution stakeholders to examine the impact of strategic vigilance across demographic variables such as gender, age, and educational level.
Results and Discussion: The findings confirm that strategic vigilance is essential for achieving competitive advantage. No statistically significant differences were found in responses based on gender, age, or educational level, except for significant differences linked to the variable of professional experience.
Research Implications: The study highlights the importance of training managers and decision-makers in strategic vigilance, recommending regular workshops and practical applications to improve competitiveness in economic institutions.
Originality/Value: This research provides valuable insights into the significance of strategic vigilance as a foundational tool for competitive advantage, offering practical recommendations for its effective implementation in economic institutions