Journal of Global Economics, Management and Business Research
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Unveiling Gender Biases in Recruitment: A Natural Language Processing Approach
No full textThis paper investigates the potential of AI to identify gender biases in recruitment for senior management positions in businesses, dealing with many documents. It aims to unravel the impact of gender biases in job advertisements as a possible reason behind the underrepresentation of women in the corporate world. An innovative experiment that extracts and analyses 2.198 job offers published in February and September 2021 in the Financial Times newspaper is presented. Natural language techniques are used. These methods identify the most frequent terms and their appearance rate in the advertisements showing the gender biases they generate. By enabling the analysis of many documents, the method allows the accurate identification of gender biases. This use is unique in management studies. The results show a strong co-occurrence of terms associated with male roles in the studied sectors. The concept of agentic-communal role differentiation, rooted in the Identity, homosocial, and TM-TM theories, supports the findings. This knowledge will contribute to using NLP to discover gender biases in recruitment for high decision-making positions proposing action to improve the present situation. Should more women ascend to decision-making positions, selection processes should be improved to reflect a more neutral language. At the same time, cultural changes should be promoted in the corporate world toward more inclusive workplaces
The Impact of Information Quality, Picture Post Quality, and Video Post Quality on Brand Advocacy: A Study of Gili Labak Tour Services Instagram Accounts
No full textThis research analyzes Brand Advocacy on the Instagram accounts of Gili Labak Tour Services, with Information quality, Picture post quality, and Video post Quality as independent variables. Customer engagement is used as an intervening variable. A sample of 200 respondents was taken from 5 Instagram accounts of Gili Labak tour services. Data was collected through questionnaires. Analysis was conducted using Partial Least Square through Smart PLS 3. The results show that Information quality has a negative influence on brand advocacy, while picture post quality has a positive and significant effect on brand advocacy. Video post quality also has a positive and significant effect. Customer engagement mediates the relationship between Information quality, picture post quality, and video post quality, on brand advocacy. Video post quality has a greater strength in enhancing customer engagement and brand advocacy compared to picture post quality, the managers of the Gili Labak tourism account need to increase the number of video content compared to image content, as video posts are currently preferred by followers
Modeling Bank Financial Intermediation Functions: Theoretical and Empirical Evidence from Nigeria
No full textThis research examined the modeling of the financial intermediation functions of banks in Nigeria. The effectiveness of financial intermediation was determined by its impact on economic growth in Nigeria. Secondary time series data were collected to determine the association between variables. The study adopted an ex post facto research design and used ordinary least squares regression tests that reveal the predictive power of the model as well as the relative statistics of the short-term variables, while testing for the existence of a long-term equilibrium relationship, based on the multivariate cointegration technique performed. The results of the study suggest that there are both short-term and long-term relationships between financial intermediation and economic growth in Nigeria. Specifically, CBCPS has a positive relationship with GDP, while MS and MLR have a positive and significant relationship with GDP in the long run. The study recommends, inter alia, that monetary authorities, in particular the Central Bank of Nigeria, has to use measures to force banks to reduce their interest rates on loans. This will increase investment and enhance the overall performance of the economy\u27s productive sectors
The Determinants of Employee Retention at the Ministry of Finance of the Republic of Indonesia
No full textThis study investigates the impact of leadership, compensation, and career development on employee retention within Indonesia\u27s Ministry of Finance. Addressing a gap in the literature on public sector employee retention, the research employs a quantitative approach, surveying 224 employees from the Directorate General of Customs and Excise. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), the study finds that all three factors significantly influence employee retention. These results provide actionable insights for policymakers and management to enhance workforce stability in government organizations
Exploring the Moderating Role of Artificial Intelligence on Organizational Citizenship Behavior and Employee Performance in SMEs
No full textThe intention of this study is to explore the moderating impact of artificial intelligence in the relationship between organizational citizenship behavior and the performance of the employee. Organizational citizenship behavior, which covers voluntary employee actions that contribute to organizational effectiveness, is increasingly pertinent from a modern workplace perspective. As organizations assimilate AI technologies, understanding how the said technologies have impacts on employee performance becomes crucial. This study also examines the way AI enhances or weakens the effects of OCB on employee performance of small and medium-sized enterprises. The research sample in this study is 243 culinary small and medium-sized enterprises from Makassar, Indonesia. The findings of the study eventually suggest that AI not only supports employees in their roles but also shapes their willingness to engage in OCB, ultimately impacting overall performance outcomes. This study also discusses the implications for management practices and future research guidelines, emphasizing the importance of leveraging AI to foster a productive work environment
Effects of Leadership Styles on Employees Job Performance: A Case Study of a Public Sector Organization in Ghana
No full textInstitutions are supervised by managers who are expected to direct their subordinates towards the achievements of organizational goals. Achievement of goals in an organization largely depends on the relationship between the supervisors and subordinates. Leadership styles play a crucial role in every organization in terms of industrial harmony and achievement of goals. Managers depending on the situation could employ democratic, autocratic or laissez-faire leadership styles to get organizational goals and objectives achieved.
Primary data from public sector employees was used for this study based on the objectives of the study. Data was gathered from 50 employees using closed-ended questionnaires. The number of respondents was selected randomly from a population of 135 and determined using Yamane, 1974 formula and Browly proportional formula as indicated by Kumar 1976. The questionnaire were divided into three sections thus background characteristics of the respondents, respondents’ perception of their superiors’ leadership styles, employees’ assessment of their job performance respectively. The leadership styles were categorized autocratic, democratic and laissez-faire. The leadership and performance scales were measured using a 5-point Likert scale thus, 5=strongly agree; 4=agree; 3=undecided; 2=disagree; 1=strongly disagree. The outcome of the research was to the effect leadership exist in organizations have positive or negative impact on the job performance of workers. The results showed that a democratic leadership style has a significant positive impact on job performance within an organization, while autocratic and laissez-faire leadership styles contribute to apathy and lower work performance. Moreover, it was suggested among other things that the use of laissez-faire and autocratic styles should be discouraged since they are could be a recipe of creating lawless working environment which could result in low productivity
Financial Planning and Investment Behavior of Salaried Households: A Comparative Study of Rural and Urban Areas
No full textThis study investigates the financial planning and investment behavior of salaried households in rural and urban areas, focusing on how socio-economic factors influence their saving and investment decisions. A sample of 100 salaried households from both rural and urban regions was selected for the study. Primary data were collected through structured questionnaires, capturing information on income levels, education, family size, risk tolerance, and investment preferences. The study applied t-test to compare the mean differences in saving and investment behavior between rural and urban households and ANOVA to examine the impact of socio-economic characteristics on financial behavior. Preliminary findings indicate significant differences in financial behavior, with urban households showing higher investment in diversified financial instruments, while rural households prefer traditional and low-risk savings options. The study emphasizes the need for financial literacy programs and improved access to financial services in rural areas to bridge the gap and promote financial inclusion across regions
Factors Affecting the Star_Rating of OCOP Foods in Tuyen Quang, Vietnam
No full textOCOP (abbreviated in English as One commune one product), understood in Vietnamese as one commune (ward) one product. OCOP is an economic development program for rural areas in the direction of developing internal resources and adding value. By 2023, Tuyen Quang province has 191 OCOP products achieving three_star or more, of which 171 products belong to the food industry, accounting for 89.5%. The study surveyed a total of 120 product manufacturers in the food industry, of which 60 products have been ranked OCOP, 60 products have not been ranked OCOP. The study used a regression model to analyze the impact of the classification results of OCOP products on the sales revenue of the owners. Multivariate regression model is also applied to analyze factors affecting star- ratings for Food OCOP products of Tuyen Quang province. Based on the study results, the authors have proposed a number of solutions such as: Rejuvenate human resources; Strengthen links in production and business; Increase support for capital loans; Exploiting favorable factors for the development of OCOP product production; Promote ratings and star_upgrades for OCOP food products in Tuyen Quang province
Public Debt and Infrastructural Development in Nigeria
No full textThe objective of this paper is to examine the differential effects of the composition of public debt on infrastructural development in Nigeria from 1986 to 2021 using Autoregressive Distributed Lag Model (ARDL) and Error Correction Model as the major econometrics’ techniques of analysis. The Keynesian Growth theory was employed and the sample period covered 36 years with data obtained from World Bank Indicators (WDI) database and Nigerian Central Bank Statistics Bulletin (CBN, 2024).From the findings, the CointEq(-1) has 94% speed of adjustment to the long run or equilibrium value. The short-run findings show that external debt, debt servicing and exchange rate are statistically significant with negative influence on Access to Electricity (AE) as a proxy for infrastructural development, while only domestic debt exhibits positive impact in the short-run. In the long-run, both domestic and external debts have positive long-run impact on AE. However, debt servicing, inflation rate and interest rate have negative impact on AE in the long run. The study concluded that external dept has not been impactful on infrastructural development in Nigeria. It is therefore recommended that Nigeria government should cut down excessive external borrowings in order to keep down the negative impact of debt servicing. Also, economics policy that will ensure macroeconomic stability such as price stability, job creation, increased output, political stability should be adopted
Rational Expectations of Inflation and Augmented Philips Curve Hypothesis in Sub-saharan Africa: Evidence from Dynamic Panel Data Model
No full textThe study focuses on how rational expectations influence augmented Philips curve hypothesis in sub-Saharan African countries using dynamic robust instrumental variable system Generalized Method of Moments (GMM) approach, with panel data from twenty-six countries in the region for the period 2009 to 2016. The two stage system GMM results show that with rational expectations on augmented Philips curve, the relationship between inflation and unemployment is positive and significant. When output gap is used as a proxy for unemployment in the model, the results reveal that the relationship between inflation and unemployment is negative but statistically insignificant. The findings suggest that the rational expectations of inflation on augmented Philips curve hypothesis are invalid in Sub-Sahara African countries. This lead to the recommendation that proper policy for the provision of enabling environment for ease of doing business to enhance productivity should be vigorously pursued in order to reduce inflation and unemployment rate