Category: Management

Development and Efficacy Evaluation of a Fortified Blended Local Fertilizer from Waste-Derived Resources for Maize Cultivation.

Selim

โœ๏ธ : Arnold Valaro, Patson Nalivata.

๐Ÿชช : DOI:ย 10.5281/zenodo.18211113

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1ย  (Page : 52- 55)

ABSTRACT:

This study developed a novel fortified blended fertilizer using locally available waste materials: powdered sewage, wood ash, agricultural lime, and human urine. The formulation was optimized into basal and top-dressing blends by incorporating small quantities of commercial NPK and urea, respectively. The fertilizer was applied to maize under field conditions, and its effects were evaluated through soil testing and plant performance. Laboratory analysis revealed high nutrient concentrations (N: 308โ€“ 359 mg/kg, P: 432โ€“503 mg/kg, K: 988โ€“1150 mg/kg) and elevated fertility indices (3397โ€“3953 mg/kg). Field trials demonstrated successful maize growth with no signs of nutrient deficiency or toxicity. The results indicate that this fortified blended fertilizer can serve as a sustainable, low-cost alternative to conventional inorganic fertilizers, contributing to circular agriculture and waste valorisation.

Keywords: Fortified blended fertilizer, waste valorisation, sewage ash fertilizer, organic-mineral blend, maize nutrition, soil fertility.

๐Ÿ“ฅ Download PDF

Sustainable AI Implementation in Higher Education: A Viewpoint on Organizational Learning for Environmental and Social Responsibility.

Selim

โœ๏ธ : Viraj P. Tathavadekar.

๐Ÿชช : DOI: 10.5281/zenodo.18181504

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-1, Issue-1 (Page : 42- 45)

ABSTRACT:
This viewpoint paper investigates the ways in which higher education institutions (HEIs) may forge organizational learning
capabilities to generate an AI implementation system that meets sustainability criteria while supporting the United Nations
Sustainable Development Goals (SDGs). This viewpoint synthesizes current trends in AI adoption, organizational learning
theory, and sustainability frameworks to put forth a conceptual model for responsible AI implementation in higher education
contexts. In traditional scenarios, AI implementation in HEIs gives precedence to technological advancement and tends to
overlook other aspects of environmental and social responsibility, thereby forming a critical gap in sustainable organizational
learning practice. This paper offers the first full-fledged viewpoint connecting AI implementation with organizational learning
for sustainability in higher education, thus laying some groundwork at the underrecognized interface of technology adoption
and environmental responsibility. This viewpoint is conceptual, requiring empirical validation in a variety of institutional and
cultural settings.Framework proposed herein can be used by HEIs as practical ways of integrating sustainability issues into the
AI adoption process contraposed to building institutional learning capabilities. A sustainable AI implementation can serve to
support various SDGs, fostering the ethical use of technology and environmental care in education.

Keywords: Artificial intelligence, Sustainability, Organizational learning, Higher education, Environmental responsibility,
SDGs

๐Ÿ“ฅ Download PDF

Effect of Motivation on Employee Productivity in Aliyan Global Security and Cleaning Services, Jalingo Taraba State, Nigeria.

Selim

โœ๏ธ : Victor Jediel Balanko, Luna Madanga.

๐Ÿชช : DOI: 10.5281/zenodo.18199742

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 43- 51)

ABSTRACT:

This study investigated the effect of motivation on employee productivity in Aliyan Global Security and Cleaning Services, Jalingo, Taraba State, Nigeria. Employee productivity is critical for organizational efficiency and growth. The study employed a descriptive survey research design, targeting a population of 251 employees, from which 154 respondents were selected using Taro Yamaneโ€™s formula and simple random sampling. Primary data were collected through structured questionnaires with a four-point Likert scale measuring intrinsic factors (recognition, job satisfaction, personal growth) and extrinsic factors (salary, allowances, financial incentives). Data were analyzed using simple linear regression to assess the relationship between motivation and employee productivity. Findings revealed that both intrinsic and extrinsic motivation significantly influenced employee productivity. Extrinsic motivation, with a standardized Beta of 0.506, indicated that financial incentives are important drivers of performance, while intrinsic motivation exhibited a stronger effect (Beta = 0.710), highlighting the importance of recognition, job satisfaction, and personal development in sustaining productivity. The results support Herzbergโ€™s Two-Factor Theory and Vroomโ€™s Expectancy Theory, emphasizing the combined role of psychological and financial incentives in motivating employees. The study concludes that a balanced approach integrating both intrinsic and extrinsic motivational strategies is necessary to optimize productivity in service-oriented organizations. It recommends that management regularly implement structured reward systems and employee development programs to enhance engagement and performance. These findings provide practical insights for policymakers, managers, and human resource practitioners aiming to improve workforce productivity in Nigeria and similar contexts.

Keywords: Intrinsic Motivation, Extrinsic Motivation, Employee Productivity, Motivational Strategies, Security and Cleaning Services, Jalingo, Nigeria.

๐Ÿ“ฅ Download PDF

Strategic Workforce Planning Through Human-AI Collaborative Intelligence: A Dynamic Capabilities and Predictive Analytics Framework.โ€‹

Selim

โœ๏ธ : Viraj P. Tathavadekar.

๐Ÿชช : DOI: 10.5281/zenodo.18159068

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 25- 42)

ABSTRACT:

Contemporary organizations encounter substantial challenges in strategic workforce planning, with empirical evidence indicating that merely 15% of enterprises engage in comprehensive long-term talent forecasting beyond conventional headcount methodologies. This investigation develops an integrated theoretical and operational framework for optimizing human-AI collaboration within strategic workforce planning domains, specifically addressing critical deficiencies in organizational capabilities and predictive talent management systems. Through systematic examination of dynamic capabilities theory synthesized with human-computer interaction paradigms, this study advances an innovative collaborative intelligence architecture that harmonizes AI-driven predictive analytics with human strategic reasoning processes. The framework directly confronts the anticipated 85 million vacant positions projected by 2030 through enhanced organizational performance mechanisms and strategic talent optimization strategies. Principal findings establish that effective human-AI collaboration necessitates methodical integration of technological competencies with human cognitive advantages, transparent decision-making architectures, and adaptive organizational configurations. The proposed framework contributes substantially to theoretical comprehension and practical deployment of collaborative intelligence systems within workforce planning environments.

Keywords: Human-AI collaboration, strategic workforce planning, predictive analytics, organizational capabilities, talent forecasting.

๐Ÿ“ฅ Download PDF

A Study and implementation of Smart Intelligent Retail Cashier Less Systems: Tools, Approaches, and Difficulties.

Selim

โœ๏ธ : Ranveer Narayn Singh, Sujeet Musale, Dr Amol Kasture.

๐Ÿชช : DOI: 10.5281/zenodo.18158914

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1ย  (Page : 18- 24)

ABSTRACT:

The rapid advancement of artificial intelligence (AI), computer vision, and Internet of Things (IoT) technologies has revolutionized the retail industry, paving the way for smart cashier-less systems. A Smart Retail Cashier-less System enables customers to shop without the need for traditional checkout counters or human cashiers. By integrating sensor networks, RFID tags, cameras, and deep learning algorithms, such systems can automatically detect products selected by customers, track their purchases in real-time, and process payments seamlessly through digital wallets or linked accounts. This not only enhances shopping convenience and speed but also reduces operational costs and human error. Moreover, data analytics derived from customer behaviour can help retailers optimize inventory management and personalized marketing. Despite its advantages, challenges such as data privacy, system reliability, and high implementation costs remain key considerations. The development of an efficient, secure, and scalable Smart Retail Cashier-less System represents a significant step toward the future of automated retail.

Keywords: Smart Retail, Cashier-less System, Artificial Intelligence (AI), Digital Payment, Smart Shopping.

๐Ÿ“ฅ Download PDF

Foundational Architects of International Business Theory: A Comprehensive Review of Kindleberger and Hymer’s Theoretical Contributions.

Selim

โœ๏ธ : Viraj P. Tathavadekar.

๐Ÿชช : DOI: 10.5281/zenodo.18158767

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 05- 17)

ABSTRACT:

This conceptual paper examines the foundational theoretical contributions of Stephen Hymer and Charles Kindleberger to international business scholarship, proposing a unified framework that bridges their complementary perspectives on multinational enterprise behavior and foreign direct investment patterns while incorporating insights from contemporary theoretical extensions. This study employs a comprehensive literature review methodology, analyzing primary theoretical works to develop new hypotheses about the evolution and contemporary relevance of Hymer-Kindleberger theoretical foundations in modern global business contexts through systematic theoretical synthesis. The analysis reveals that Hymer’s market imperfection theory and Kindlebergerโ€™s perspective create a synergistic framework for understanding multinational enterprise behavior. Three novel hypotheses emerge regarding the intersection of market power dynamics, institutional stability, and corporate international expansion strategies, supported by evidence from contemporary theoretical extensions. This paper presents the first systematic integration of Hymer and Kindleberger’s theoretical contributions, proposing new conceptual bridges between microeconomic firm behavior and macroeconomic international stability theories in multinational enterprise research while incorporating insights from modern platform capitalism and digital economy transformations. Future empirical testing of the proposed integrated framework across different industrial sectors and geographical contexts would strengthen the theoretical contributions presented, particularly in emerging markets and digital economy contexts. The unified framework offers strategic guidance for multinational enterprises navigating complex international environments where market imperfections intersect with varying degrees of institutional stability, providing actionable insights for contemporary global business challenges. As a result of the theoretical integration, a better understanding of how the behaviour of multinational corporations affects the stability and development tendencies of the global economy is achieved. This, in turn, provides policymakers with insights that are focused on the objectives of sustainable development and international economic governance.

Keywords: Stephen Hymer, Charles Kindleberger, multinational enterprises, foreign direct investment, market imperfections, international business theory, theoretical integration, conceptual framework.

๐Ÿ“ฅ Download PDF

Perceived Influences of Office Ergonomics on the Job Performance of Confidential Secretaries in Government Ministries in Gombe State

Selim

โœ๏ธ : Musa Muhammad , Mohammed Ahmad Umar.

๐Ÿชช : DOI:ย 10.5281/zenodo.17946365

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-1, Issue-1 (Page : 30- 38)

ABSTRACT:

This study investigates the perceived influences of office ergonomics on the job performance of confidential secretaries in government ministries within Gombe State, Nigeria. With growing emphasis on workplace efficiency, office ergonomics has emerged as a key determinant of employee productivity, job satisfaction, and health. Using a descriptive survey design, data were collected from 120 confidential secretaries across ministries using a validated structured questionnaire. The study analyzed how workstation design, ergonomic furniture, lighting, noise control, and equipment placement affect performance outcomes such as accuracy, speed, and reduced fatigue. Findings reveal that ergonomic interventions significantly enhance job performance, reduce musculoskeletal discomfort, and improve efficiency. The paper recommends prioritizing ergonomic design in public offices, training secretaries in proper workstation use, and institutionalizing regular ergonomic audits. These measures could improve productivity and promote occupational well-being in government institutions.

Keywords: Office ergonomics, job performance, confidential secretaries, workplace productivity, Gombe State.

๐Ÿ“ฅ Download PDF

Product Relative Advantage and Brand Loyalty for Smartphones in South-South, Nigeria

Selim

โœ๏ธ : Oto Eyamba Eshiett, Prof. Anietie B. Akpan, Aniebiet J. Etuk, Sunday J. Akpan.

๐Ÿชช : DOI:ย 10.5281/zenodo.17942517

๐Ÿ“˜ : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-1, Issue-1 (Page : 21- 29)

ABSTRACT:

Product relative advantage is the extent to which an innovation is evaluated by end users as being superior to previous ones based on improvement in; screen sizes, battery life, operating system, internet facilities, multimedia functionalities, and other peripherals. The objective of this research is to examine product relative advantage and customer loyalty for smartphone brand in South-South, Nigeria. Outstanding issues considered include; the economic profiting from innovation, the status aspect of innovation, effects of incentive, perceived reliability, and social influences. Exploratory research design was adopted, with in-dept. interview, and focus group techniques used in collecting data from 214 respondents identified as smartphone adopters of the 2022 top ranking global smartphone brands in Nigeria, data collected was analyzed using Pearsonโ€™s Correlations Technique. The findings uncovered strong connections between how advantageous customers perceive their phones to be and their willingness to remain loyal to that brand. Two factors stood out above the rest: whether the phone is dependable and whether it delivers solid financial value. These insights shed light on shopping patterns in markets like Nigeria that are still growing, while offering actionable strategies for phone manufacturers trying to win over customers in this challenging business environment.

Keywords: Relative advantage, customer loyalty, Diffusion of innovation, Smartphones, and South-South Nigeria.

๐Ÿ“ฅ Download PDF