Issued by Goodwood Publishing, the Annals of Management and Organization Research (AMOR) is an international, peer-reviewed, and scholarly journal that publishes high-quality research articles covering qualitative and quantitative research discussing interesting and contemporary topics on all areas of management and organization sciences. AMOR is aimed at providing academic media for researchers, academicians and practitioners to express their innovative ideas in developing theories and practice of management and organization.
Published
2025-08-19
Articles
Underpaid and overworked: The challenges of private schools’ teachers in Ado-Ekiti Metropolis, Nigeria
Purpose: It is therefore necessary to evaluate the challenges that private school instructors encounter as a result of heavy workload and low salary.
Research methodology: The research is a cross-sectional survey, descriptive in nature. A self-structured questionnaire was used to collect data from the selected sample using a multi-stage sampling technique. Simple frequency and percentages were employed to describe the data.
Results: Pay and working conditions offered to private school teachers do not reflect their abilities. Teachers in private education experience accumulation by dispossession as a result of the privatization of educational systems and frequently lack long-term job security. The findings reveal that the workload is excessive compared to remuneration, with limited benefits and minimal professional growth opportunities.
Conclusions: The study concludes that the disparity between teachers’ efforts and rewards contributes to dissatisfaction and instability in the private education sector. These conditions may undermine the quality of teaching and long-term sustainability of the profession.
Limitations: The paper only describes the experiences of private school teachers and therefore could not ascertain the degree of relationship between challenges faced by private teachers in working under conditions of being underpaid and overworked.
Contribution: The study will be useful in understanding factors underlying the working conditions of private school teachers. It contributes to knowledge in the fields of industrial relations, human resources management, and the education industry, offering valuable insights for policymakers and stakeholders to improve teacher welfare and retention.
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SintaThe nexus between agricultural exports and food security in Zimbabwe
Purpose: This study aimed to evaluate the relationship between agricultural exports and food security in Zimbabwe from 1990 to 2023.
Research Methodology: A time-series analysis was conducted using the Ordinary Least Squares (OLS) method and autoregressive distributed lag (ARDL) bounds testing approach to examine both short-run and long-run dynamics. Diagnostic tests, such as ADF, multicollinearity, heteroskedasticity, and serial correlation, were performed to ensure robustness.
Results: The findings revealed that agricultural exports had a positive and statistically significant effect on food security. A 1% increase in agricultural exports leads to a 0.007% increase in food security. Other variables, such as rainfall, capital expenditure, and consumption expenditure, positively influenced food security, whereas rural and urban population growth negatively impacted it.
Conclusions: Agricultural exports play a critical role in enhancing food security in Zimbabwe by generating foreign currency and promoting investment in the agricultural sector. However, demographic pressures and climate-related risks remain significant challenges.
Limitations: The study is limited by data availability, as annual data may overlook short-term changes. Additionally, some potentially influential variables were excluded because of data constraints.
Contribution: This study contributes empirical evidence to policy debates on balancing export-oriented agriculture with domestic food needs. It offers actionable insights for government ministries and institutions involved in agricultural planning, advocating greater support for capital investment, infrastructure, and farmer education to ensure sustainable food security outcomes.
Understanding opportunity focus and its effects on douala micro-small enterprises sales performance
Purpose: The main purpose of this study is to understand opportunity focus and its effects on the sales performance of micro-small enterprises in Douala.
Research Methodology: This study adopted a quantitative research design using a questionnaire as the primary data collection instrument. The sample size of 385 was determined using the Cochran formula for an unknown population and selected using simple random sampling. The collected data were analyzed using the ordinary least squares technique (OLS) with the help of STATA 17.
Results: The findings revealed a positive and significant effect of opportunity focus on sales performance in micro- and small-sized enterprises in Douala V, Cameroon. The results also show that younger business owners outperform their older counterparts in terms of sales performance.
Conclusions: This study provides insightful policy recommendations for micro and small businesses, newly formed NGOs, governments, and other stakeholders to bolster their competitive positions, contribute to sustainable and inclusive economic growth, and foster innovation and entrepreneurship in their sectors.
Limitations: The study is limited to micro and small-sized enterprises in the Douala Five municipality, making generation difficult for other medium and large enterprises within and out of the Douala Five municipality since these enterprises vary in size and definitely differ in resource constraints
Contribution: This study provides insightful policy recommendations for micro and small businesses, newly formed NGOs, governments, and other stakeholders to bolster their competitive positions, contribute to sustainable and inclusive economic growth, and foster innovation and entrepreneurship in their sectors.
Multi-objective planning for a multi-echelon supply chain using parameter-tuned meta-heuristics
Purpose: This study presents a tri-objective model for the integrated planning of production and distribution within a multi-level supply chain network that encompasses multiple product types and time periods.
Research methodology: The supply chain network includes manufacturer plants (MPs), distribution centers (DCs), retailers, and final customers. The proposed model aims to minimize total supply chain costs, ensure timely delivery of products to customers, and reduce the lost demand rate. Classified as a linear integer programming problem, which is NP-Hard, the model’s complexity is addressed using two multi-objective meta-heuristic approaches based on the Pareto method: the Non-Dominated Sorting Genetic Algorithm (NSGA-II) and the Non-Dominated Ranking Genetic Algorithm (NRGA). The Taguchi method is employed to optimize the input parameters of these algorithms.
Results: The performance of the proposed solution methods is evaluated through various test problems of different dimensions. Statistical analyses confirm the effectiveness and reliability of both algorithms in achieving the defined objectives.
Conclusions: The findings highlight that multi-objective meta-heuristic approaches, when parameter-tuned appropriately, provide efficient and practical solutions for integrated supply chain planning, offering a balance among cost, service level, and demand fulfillment.
Limitations: The study acknowledges the inherent complexity of the problem and the dependency of meta-heuristic outputs on parameter settings, which may influence solution robustness.
Contribution: This research contributes to the literature by providing a robust framework for optimizing production and distribution in complex supply chain networks, delivering insights into the application of advanced algorithmic strategies in operational planning.
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