Journal of Global Economics, Management and Business Research
Not a member yet
398 research outputs found
Sort by
Investigation of the Connection between Stock Market Development and Economic Growth in Nigeria (1999-2023)
No full textThis paper analyses the dependence of the development of the stock market on economic growth in Nigeria with the help of pooled data during the period between 1999 and 2023. The results demonstrate significant, positive relationship between the market capitalization and the economic growth whereas the volume of transaction and value of transaction have insignificant negative relationship with the economic growth. The study confirms that there is long run relationship between the market capitalization, volume of transaction and market development. It also indicates unidirectional causal correlation with economic growth influencing market capitalization and volume of transaction. The findings confirm the opinion that stock market development is instrumental when it comes to economic development in Nigeria. The research proposes policy measures to spur productivity, enhance savings and investor confidence and the process of dealing in the market capitalization to entice the participation of foreign investors. The results are useful additions to what already exists in literature on the dependence between stock market evolution and the economic growth, which could be of use to policymakers and the other interested parties in the Nigerian economy
Staff Motivation and Performance Outcomes in the Nigerian Banking Sector: A Case Study of Access Bank Plc
No full textThis study was carried out to identify the effect of staff motivation on the performance level in the banking industry, using Access Bank Plc as a case study. A mixed-methods approach was employed, utilizing questionnaires and oral interviews administered to a sample of 40 staff members selected from a population of 150. Data were analyzed using simple percentages and presented in tables. The results strongly agree with established theories from Shapiro, Hertzberg, Vroom, and Maslow, indicating that workers\u27 attitudes depend on their satisfaction levels regarding organizational policies and remuneration. Key findings reveal that poor wages, lack of a definite promotion policy, poor working conditions, and inadequate training programs significantly reduce staff performance. The study concludes that effective staff motivation is crucial for achieving management objectives and recommends implementing favourable working conditions, timely promotions, adequate welfare packages, and effective training programmes to enhance productivity and output
Enhancing International Trade Specialization through Free Trade Agreements: The Role of Logistics Integration in Global Value Chains
No full textThis study evaluates how Free Trade Agreements (FTAs) contribute to international trade specialization by enhancing logistics within global value chain (GVC) frameworks. As globalization intensifies and supply networks become increasingly complex, understanding the FTA-logistics nexus is critical for effective trade policy formulation. A systematic literature review method was employed, analyzing eight peer-reviewed studies published between 2010 and 2025. For doing the review, a table has been prepared listing the sources and findings for better flow of information. In the future, the focus will be on exploring longitudinal case studies for validating findings in a systematic way.
The findings highlight that logistics infrastructure functions as a catalyst, amplifying the benefits of FTAs beyond traditional tariff reductions by facilitating deeper GVC integration and reducing non-tariff barriers. The study reveals that transport development significantly contributes to trade growth, with deep trade agreements increasing domestic intermediaries by 0.48% per policy provision. Key enablers include supply environment capabilities, infrastructure quality, and absorptive capacity, while organizational control costs and geographic distance remain significant barriers. The study recommends integrated infrastructure investments, coordinated policy frameworks, workforce training initiatives, and the establishment of regional logistics hubs to enhance FTA-driven specialization
The Role of Forensic Accounting in Enhancing Audit Quality and Fraud Detection: A Case Study of British American Tobacco (BAT)
No full textThis paper examines how British American Tobacco (BAT) Nigeria uses forensic accounting to improve audit quality and fraud detection. Evaluating the ways in which forensic accounting methods enhance fraud detection and audit quality is the main goal. Specifically, the study investigates the usefulness of forensic accounting in BAT’s audits, identifies important hurdles in its integration, and rates its influence on audit reliability. Data was gathered from 20 employees using a standardized questionnaire, and the scope is restricted to the audit department of BAT Nigeria.
The unit of observation comprises of BAT’s audit personnel, whereas the unit of analysis focuses on the forensic accounting procedures deployed. A quantitative study design was adopted, with data examined using descriptive statistics and Pearson’s correlation coefficient. The results show that fraud detection and audit quality are much improved by forensic accounting. However, obstacles to complete integration were found to include issues including organizational opposition, financial limitations, and a shortage of skilled specialists. The report concludes by advising overcoming financial constraints, hiring qualified forensic accountants, and making training investments. Future studies should look at the long-term implications on corporate governance and the wider influence of forensic accounting across industries
Effect of Training and Development on Employee’s Behaviour: A Case Study of Dangote Transport Division
No full textThe present research paper reflects on how training and development in the Dangote Transport Division, a subsidiary of Dangote Group in Nigeria influence the behavior of employees. The research was developed with a mixed-methods study under which two hundred employees in different staff categories were used as the subjects of data collection using questionnaires, interviews, and observations. The analysis, confirmed by the Chi-square, shows that formal training has great effect of improving the competence, motivation, and productivity of employees as well as decreasing employees-turnover and accidents. The effectiveness is, however, hampered by some of the following challenges including favoritism, low motivation and infrequent training. The paper suggests the unemployment due to lack of skills and motivation in the work place by the Nigeria transport sector can be eliminated through proper trained programs that bear in mind the goals of the organization, an emphasis on merit and frequent performance appraisal leading to a skilled and motivated workforce that will enhance the performance of an organization
A Study of Tax Revenues and Non-Tax Revenues from the Budget of Haryana, India
No full textPublic Budget is the key indicator of any economy. It shows the soundness of an economy. The Governments which do not focuses on budgets often fails to establish financial soundness. The present study also attempts to analyse the two key elements i.e. Tax Revenue and Non-Tax Revenue from the Budget of Haryana. The study relates to the period 2013-2014 to 2022-2023. The statistical tools which are used to analyse the data are trend analysis, mean, variance, and ANOVA. These tools have been used with the help of MS Excel and SPSS. The results shows that there is no significant difference between budgets, revised budgets and actuals of tax revenues. Similarly, there is no significant difference between budgets, revised budgets and actuals of non-tax revenues. Further budgets, revised budgets and actuals for both i.e. for tax revenue as well as for non-tax revenue are increasing in the period of study. The paper is useful for the fiscal policy makers as it talks about the relevance and importance of budgets and revised budget in comparison to the actuals. It will provide the guidance to the developing as well as developed nations to improve their budgetary process
AI-Augmented Agility: A Comprehensive Review of Generative AI Applications in Agile Project Management
No full textThis article presents a narrative literature review of the emerging intersection between Generative Artificial Intelligence (GenAI) and Agile Project Management (APM). Using purposive, iterative searches across academic and practitioner sources, we screen for relevance to GenAI applications along the Agile lifecycle (planning, backlog refinement, estimation, development, testing, and retrospectives) and synthesize findings through a concept-centric, thematic analysis. The paper makes three contributions: (1) an integrative GenAI–APM alignment framework that maps core GenAI capabilities (e.g., requirements elaboration, code and test generation, risk sensing, knowledge summarization) to Agile roles, ceremonies, and artifacts; (2) an evidence-weighted assessment of opportunities (speed, decision support, collaboration) and risks (bias, privacy, model drift, over-reliance), with associated governance controls; and (3) a research agenda with testable propositions on effectiveness, human–AI teaming, measurement, compliance, and adoption barriers. Scholarly implications include clearer constructs and operational definitions to support cumulative empirical work. Practical implications include actionable guidance for PMOs and Scrum teams on where to pilot GenAI, how to measure value, and how to implement safeguards (data governance, responsible-AI checklists, and role/skill adjustments). By clarifying method, contribution, and significance, the review consolidates a fragmented discourse and offers a roadmap for rigorous research and responsible deployment of GenAI in Agile settings
Perspectives of Business Education Lecturers on Conflict Management Strategies in Public Tertiary Institutions in Edo and Delta States, Nigeria
No full textThe research assessed the views of business education lecturers regarding conflict management strategies within public tertiary institutions located in Edo and Delta states, Nigeria. This investigation employed a descriptive survey design. A sample size of 152 respondents was gathered through the use of a questionnaire, and due to the manageable size of the population, no sampling was necessary. The data collected were analyzed using mean and standard deviation, with a decision rule indicating that a mean of 2.5 and above was considered as agreement, while a mean below 2.5 was deemed as disagreement. Additionally, a t-test was utilized to analyze the three null hypotheses formulated at a significance level of 0.05. The positive effects of conflicts led to the emergence of new ideas or approaches, enhanced decision quality, and the alleviation of tension, among other outcomes. The conflict resolution strategies implemented included suitable leadership styles, organizational structuring, addressing the causes of conflict, and diagnosing and rectifying issues. The most frequently employed conflict resolution strategies were arbitration, mediation, and smoothing, among others. The results of the hypothesis testing revealed that the calculated t-values were lower than the critical t-values at a significance level of 0.05 with 150 degrees of freedom, thereby leading to the acceptance of the null hypotheses. The study recommends that relevant authorities should adopt arbitration, smoothing, and mediation techniques as conflict resolution strategies among business education lecturers in public tertiary institutions
Impact of Yield Risk on Cotton Cultivation Decisions: A Study from Rajkot District, Gujarat, India
No full textCotton remains a cornerstone of agricultural economies across the globe, particularly in countries like India, where it plays a vital role in rural livelihoods, industrial supply chains, and export earnings. As a cash crop with significant economic importance, the decisions of farmers make makes regarding cotton cultivation, especially the allocation of land or acreage, are influenced by a complex interplay of market signals, policy interventions, climatic conditions, and resource availability. The study aimed to analyse the acreage response of cotton cultivation in Rajkot district using the Nerlovian adjustment lag model, with the objective of identifying key factors influencing farmers’ decisions on area allocation. A quantitative research design was employed using 15 years of time-series data, and the model incorporated variables such as competing crop area, past prices, past yields, price risk, yield risk, and rainfall. Results showed that the model had high explanatory power with an R² of 0.8520, explaining 85.2% of the variation in cotton acreage. The intercept (523,203.16) was statistically significant at the 5% level (p = 0.016). The area under groundnut exerted a negative effect (-0.39152, p = 0.12), suggesting competition with cotton. Past price (-3.76806, p = 0.18), past yield (-12.71739, p = 0.30), price risk (33.9989, p = 0.43), and rainfall (-8.78208, p = 0.71) were all found to be statistically non-significant. In contrast, yield risk emerged as the most influential factor with a large negative coefficient (-62,980.84) and was statistically significant at the 5% level (p = 0.03), indicating that higher yield variability strongly discouraged farmers from allocating more land to cotton cultivation. The study concluded that while most explanatory variables did not significantly impact cotton acreage, yield risk played a critical role in influencing farmers’ decisions, highlighting the need for improved agronomic practices, technological support, and effective risk management measures to reduce yield uncertainty and stabilise cotton production in the region
Sheep Marketing Chain Transformation: Efficiency Analysis and Partnership Model for Sustainable Economic Value Creation
No full textAims: This study aims to analyze the efficiency of the sheep marketing chain in Binjai, map the existing marketing chain structure, and design an optimal partnership model to increase the bargaining power of livestock breeders.
Study Design: The study used a mixed-methods survey of 126 respondents: 60 livestock farmers, 23 village collectors, 14 inter-regional traders, 10 regional market traders, and 19 retailers/butchers.
Place and Duration of Study: The study was conducted in Binjai City, Indonesia. The research period was carried out for 3 months, from May to July 2025.
Methodology: Data were analyzed using the Marketing Efficiency Index (MEI), Concentration Ratio (CR4), Herfindahl-Hirschman Index (HHI), and Willingness to Participate Index. Primary data were collected through structured questionnaires, in-depth interviews, direct observation, and focus group discussions (FGDs).
Results: The sheep marketing chain has an IEP of only 42.3%, with farmers receiving 68.5% of the consumer price. The market structure is oligopsony, with CR4 reaching 76.3%. The main inefficiencies are information asymmetry, limited infrastructure, and weak bargaining power of farmers. The Multi-Party Partnership Model with digital integration achieved 73.4% acceptance and is projected to increase the IEP to 61.7% and the farmer\u27s share to 76.2%, providing an additional income of IDR 1.77 million per year.
Conclusion: This study recommends strengthening digital integration and participatory governance to increase livestock farmers\u27 bargaining power. The findings provide a framework for policymakers to improve livestock market efficiency and equitable value distribution