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Article
Publication date: 11 February 2025

Faisal, Aroosa Ramzan, Moeed Ahmad and Waseem Abbas

This study aims to develop a neurocomputational approach using the Levenberg–Marquardt artificial neural network (LM-ANN) to analyze flow and heat transfer characteristics in…

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Abstract

Purpose

This study aims to develop a neurocomputational approach using the Levenberg–Marquardt artificial neural network (LM-ANN) to analyze flow and heat transfer characteristics in mixed convection involving radiative magnetohydrodynamic hybrid nanofluids. The focus is on the influence of morphological nanolayers at the fluid–nanoparticle interface, which significantly impacts coupled heat and mass transfer processes.

Design/methodology/approach

This research simplifies a complex system of higher-order nonlinear coupled partial differential equations governing the flow between orthogonal coaxially porous disks into ordinary differential equations via similarity transformations. These equations are solved using the shooting method, and parametric studies are conducted to observe the impact of varying important parameters. The resulting data sets are used to train, validate and test the LM-ANN model, which ensures high predictive accuracy. Machine learning and curve-fitting techniques further enhance the model’s capability to generate detailed visualizations.

Findings

The findings of this study indicate that increased nanolayer thickness (0.4–1.6) significantly improves thermal performance, while changes in the chemical reaction parameter (0.2–1) have a notable effect on enhancing the Sherwood number. These results highlight the critical role of morphological nanolayers in optimizing thermal and mass transfer efficiency in MHD nanofluids.

Originality/value

This research provides a novel neurocomputational framework for understanding the thermal and mass transfer dynamics in MHD nanofluids by incorporating the effects of interfacial nanolayers, an aspect often overlooked in conventional studies. The use of LM-ANN trained on computational data sets enables high-fidelity predictive analysis, offering new insights into the enhancement of thermal and mass transfer efficiency in hybrid nanofluid systems.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 31 October 2024

Benedict Huruma Peter Mwakabungu and Melkamu Wondimu

A shortage of investment capital is one of the main issues facing most developing economies, including Tanzania. Policymakers, economists, and governments in these countries have…

50

Abstract

Purpose

A shortage of investment capital is one of the main issues facing most developing economies, including Tanzania. Policymakers, economists, and governments in these countries have been debating how to overcome this obstacle and improve economic growth through foreign direct investments (FDI). The present study endeavors to examine the relationship between FDI and economic growth in Tanzania during the period of 1991–2021. The analysis considers financial development, capital formation, and labor force involvement as intermediation variables.

Design/methodology/approach

The study uses time series data to estimate an autoregressive distributed lag (ARDL) model, as well as Granger causality tests to investigate the relationship between the variables under study.

Findings

The findings show a long-run co-integration between the studied variables. However, only FDI and labor input have a significant impact on gross domestic product (GDP) growth in both the short and long run. Bidirectional causality exists between FDI, labor input, and GDP growth in the short and long run.

Practical implications

This study contributes to an understanding of the relationship between inbound FDI, labor input, and economic growth in Tanzania, as well as updating the government to improve its financial system to gain more from FDI inflows and hence boost growth-enhancing effects.

Originality/value

This study provides insight into the relationship between inbound FDI and economic growth in Tanzania, which is a critical policy concern in developing economies. Extant studies’ results remain controversial, and this is the first study in Tanzania to investigate the FDI-growth nexus, by considering financial development, capital formation, and labor input simultaneously.

Details

African Journal of Economic and Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-0705

Keywords

Open Access
Article
Publication date: 17 October 2024

Muhammad Bilal, Abdusame Tadjiev and Nodir Djanibekov

This study examines the adoption of cotton combine services and its impact on farm technical efficiency in Kazakhstan and Uzbekistan. The research aims to determine whether…

676

Abstract

Purpose

This study examines the adoption of cotton combine services and its impact on farm technical efficiency in Kazakhstan and Uzbekistan. The research aims to determine whether mechanisation influences productivity and economic output at the farm level.

Design/methodology/approach

Using farm-level data from 511 cotton growers in Kazakhstan and Uzbekistan collected in 2019, this study employs stochastic frontier analysis to measure potential output and technical inefficiency among cotton farmers. The analysis includes a translog functional form to account for the use of cotton combine services and other farming variables.

Findings

The findings indicate that while mechanisation through cotton combines can potentially increase technical efficiency by optimising the harvesting process, the benefits are not uniformly experienced across all farms. Variations in farm characteristics, such as labour availability and existing agricultural practices, influence the efficiency of technology adoption. Institutional factors and historical legacies also play a significant role in the adoption and impact of mechanisation.

Research limitations/implications

The study is based on cross-sectional data from 2019, and the findings may not capture longer-term trends or recent developments in mechanisation policies in the study countries.

Originality/value

This research provides a nuanced understanding of the conditions under which cotton combine services enhance or hinder technical efficiency. It highlights the necessity for carefully tailored policies for mechanisation, especially in Uzbekistan, where rural labour is abundant and predominantly female. The study contributes to the broader discourse on agricultural mechanisation in developing countries by focusing on the specific context of Central Asia.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-0839

Keywords

Article
Publication date: 29 August 2024

Selim Ahmed, Dewan Mehrab Ashrafi, Rubina Ahmed, Ezaz Ahmed and Md. Azim

The purpose of the study is to investigate the influence of training and development and work–life balance on employee engagement and job performance at private banks in…

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Abstract

Purpose

The purpose of the study is to investigate the influence of training and development and work–life balance on employee engagement and job performance at private banks in Bangladesh. This study also investigates the indirect influence of training and development and work–life balance on the job performance of private banks through the mediating role of employee engagement.

Design/methodology/approach

The present study used a self-administered survey questionnaire to collect data from the private bank staff who had been working in the existing bank for more than one year. In this study, 450 survey questionnaires were distributed to the respondents and received 346 useful responses (76.88% response rate). The SmartPLS 4 software was used to determine the reliability and validity of the constructs. The SmartPLS 4 software was also used to test the hypothesised path coefficients via Partial Least Squares Structural Equation Modelling (PLS-SEM).

Findings

The findings of the study indicate that both training and development and work–life balance significantly influence employee engagement and job performance in the private banks. The findings also indicate that both training and development and work–life balance indirectly significantly influence the job performance of the private bank through the mediating role of employee engagement.

Practical implications

This study suggests various practical implications. Managers should provide opportunities for employees to actively participate in employee training. The present study also suggests that managers should also prioritise and model a healthy work–life balance because when leaders value work–life balance, employees feel empowered. The findings of the study suggest that organisations should design effective employee development programmes and foster a supportive work environment to motivate their employees to contribute to organisational success.

Originality/value

This study makes significant theoretical contributions to the existing literature on employee engagement and job performance. The present study enhances theoretical depth by highlighting the mediating role of job engagement in achieving job performance, offering a new perspective on the relationship between these variables and paving the way for targeted interventions. The present study also enriches the existing body of literature by examining the impact of training and development and work–life balance through the lens of organisational support theory, presenting a comprehensive understanding of the intricate dynamics at play.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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