Aklima Sultana and Nasrin Islam
Emotional intelligence (EI) and self-concept (SC) play a very important role in one’s life. The purpose of this paper is to investigate the SC and EI of tribal and nontribal…
Abstract
Purpose
Emotional intelligence (EI) and self-concept (SC) play a very important role in one’s life. The purpose of this paper is to investigate the SC and EI of tribal and nontribal university students.
Design/methodology/approach
The research used a quantitative approach, 100 nontribal (50 male and 50 female) and 100 tribal (50 male and 50 female) students were selected by nonprobability sampling method. The Bangla version of the self-concept questionnaire (Beck et al., 2001) and the emotional intelligence questionnaire (Hyde et al., 2002) were used to measure the SC and EI of students. Pearson correlation, t-test and post hoc tests were used for statistical analysis.
Findings
The findings of this study showed that the tribal and nontribal students differ significantly on the measure of SC and EI (p < 0.01). Although nontribal students showed higher SC than tribal students, tribal students showed a higher level of EI than nontribal students. The results also showed that gender significantly affects SC and EI (p < 0.01). Males have higher SC and EI than females. Furthermore, the study revealed that socioeconomic status differs significantly in the case of SC. Finally, the result also showed a significant positive correlation (r = 0.245, p < 0.01) between SC and EI.
Research limitations/implications
The results of the research are only based on the students of one university besides the sample size is limited.
Practical implications
This research allowed the authors to determine the practical implications. The findings suggest that there is a significant difference in SC and EI between tribal and nontribal students, with nontribal students showing higher levels of SC. This implies that interventions and programs aimed at enhancing SC may be particularly beneficial for tribal students. The study also reveals that there are significant differences in SC and EI between tribal and nontribal adolescent boys and girls. This highlights the importance of considering gender differences when designing interventions to improve SC and EI among tribal and nontribal students. Moreover, educators, parents and policymakers can use these findings to develop targeted interventions and strategies to enhance SC among tribal students, with the aim of improving their overall well-being, academic achievements and success in life.
Originality/value
This paper adds to the literature on the SC and EI of tribal and nontribal university students by describing the difference in levels and a significant correlation. This paper obtains an innovative statistical approach to develop the findings so that information can be used in the future.
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Mohammad Badruddoza Talukder, Kamarun Muhsina, Tanjila Afroz Mou and Sanjeev Kumar
Purpose: This chapter provides a thorough explanation of the growth of community-based tourism in Bangladesh, encompassing its historical background, challenges faced, and…
Abstract
Purpose: This chapter provides a thorough explanation of the growth of community-based tourism in Bangladesh, encompassing its historical background, challenges faced, and potential strategies for future advancement.
Methodology: We employed a descriptive analysis based on the literature review of the development and expansion of community-based tourism in Bangladesh. This study looks at the development of community-based tourism (CBT) throughout history, as well as the innovative contributions made by Non-Governmental Organizations (NGOs) and local groups in CBT initiatives, government policies, international recognition, challenges encountered (such as environmental and economic concerns), and potential strategies for future expansion.
Findings: The chapter suggests various methods for future growth, including developing policies, involvement of the private sector, execution of marketing strategies, and empowerment of the community through training and enhancing their abilities.
Value: The study provides insightful information regarding the distinctive characteristics of community-based tourism in Bangladesh, drawing attention to the country's long-standing tradition of extended hospitality and cultural heritage. Moreover, the study analyzes the difficulties and opportunities that CBT efforts encounter in the region and the proposition of individualized solutions for sustainable growth.
Implications: This study not only improves the quality of experiences that tourists have, but it also gives a voice to underrepresented groups by prioritizing local communities. In addition, it instills a sense of ownership and pride in the community's residents, motivating them to make a long-term commitment to preserving the legacy of developing CBT in Bangladesh.
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Muskan Sachdeva and Ritu Lehal
Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of…
Abstract
Purpose
Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of factors influencing investment decision making process of stock market investors. A multi group analysis of gender is also carried out on the proposed model.
Design/methodology/approach
The data of 402 valid responses are collected through structured questionnaires from individual investors of North India. SPSS 23 is used to do the descriptive analysis and AMOS 22 is used to establish the validity of the constructs and for hypotheses testing. For performing multi group analysis, several invariance tests have also been conducted to check the robustness of the model.
Findings
The results reveal that all the factors such as firm image, accounting information, neutral information, advocate recommendation and personal financial needs significantly influence investment decision making concluding image of the firm being the most influential factor and advocate recommendation being the least influential factor for investment decisions. No significant differences between males and females were found.
Research limitations/implications
The current study suffers from the limitation of restricted geographical area of North India. Moreover, there is also a scope to incorporate more demographic factors for predicting investment decisions.
Originality/value
This study incorporates a range of factors which covers all the aspects of investment decision making. This study also highlights the notion of signaling theory, thus contributing to the limited literature in Indian context.
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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…
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.
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Milad Bakhshi, Kambiz Heidarzadeh Hanzaee and Mirahmad Amirshahi
Shopping motivations are considered the primary stimuli for shoppers in the prepurchase stage of the customer journey. This study contributes to the understanding of how cultural…
Abstract
Purpose
Shopping motivations are considered the primary stimuli for shoppers in the prepurchase stage of the customer journey. This study contributes to the understanding of how cultural factors affect shopping motivation. This study aims to understand the effect of cultural factors on shopping motivations in Eastern culture with Islam religion.
Design/methodology/approach
This study is based on the approach of phenomenology, and multiple methods were performed to interpret the phenomenon of shopping motivations. To this aim, 16 observations and 18 in-depth interviews were performed for data collection, and after that, data interpretation was done.
Findings
In this study, the motivations fall into product-related and hedonic motivations which are related to shopper psychology, while environmental motivations are culturally dependent. The influence of cultural factors on the individual concept of shopping motivations was identified in this study. Nine subthemes including product selection, product quality, functional, in-store service, convenience, store environment, value shopping, self-gratifications and role-playing were identified in the categories of product-related, environmental and hedonic motivations.
Practical implications
In non-Western countries, the store environment profoundly influences shoppers’ experience. This study clearly illustrates relationships between theory and practice in grocery shopping motivations in a non-Western context. Retailers who are active in eastern Islamic countries should pay attention to the fact that cultural and contextual factors play a significant impact on the shopping motivation and behavior of these shoppers.
Originality/value
In this study, shopping motivations are not fixed in different societies, and cultural and contextual factors play a significant impact in this regard. In other words, shopping motivations are fluid, and cultural factors play a significant role in their formation. This study makes two important contributions: First, cultural motivations are prominent among Muslim shoppers. Among these motivations, shopping environment motivations, including relationships with others and cleanliness, and staff behavior are very significant. These motivations are highly influenced by the culture of the context and we discover which motivations are not related to psychology alone and that the context has a significant influence on their formation. Second, hedonic motivations are also highlighted in the purchase of utilitarian products. In addition to direct effects, such as Islamic regulations on halal foods, Muslims’ religious tenets also have significant indirect effects on their behaviors and motivations.
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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…
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.
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Md. Shamim Hossen, AKM Mahmudul Haque, Imran Hossain, Md. Nuruzzaman Haque and Md. Kamal Hossain
Despite city authorities in Bangladesh being concerned about urban sustainability, they often face difficulties in addressing predominant urban challenges threatening urban…
Abstract
Purpose
Despite city authorities in Bangladesh being concerned about urban sustainability, they often face difficulties in addressing predominant urban challenges threatening urban sustainability, due to limited relevant literature. To reduce this gap, this study aims to address the predominant urban challenges and assess their severity levels in four city corporations of Bangladesh, e.g. Rajshahi, Sylhet, Barishal, and Gazipur.
Design/methodology/approach
Using a mixed-method approach, this study rigorously analyzed field-level data obtained from 1,200 residents across selected cities using diverse statistical techniques. The quantitative analysis included descriptive analysis, exploratory factor analysis, and chi-square tests, whereas qualitative insights were derived through thematic analysis.
Findings
The study uncovered nine predominant urban challenges under two crucial factors “Feeble Urban Management” and “Illicit Activities” that collectively explain 62.20% variance. “Feeble Urban Management” explains 44.17% variance, whereas “Illicit Activities” accounts for 18.13%. Within these challenges, uncontrolled urban sprawl, inadequate disaster management, congested roads, and shabby drainage and waste management pose significant threats to urban sustainability. Illicit activities, manifested by encroachment on water sources, grabbing roadside, destruction of natural properties, and activities undermining social security, compound the urban sustainability issue. Severity analysis reveals Sylhet (54.5%), Rajshahi (46.4%), and Barishal (31.2%) as highly impacted, whereas Gazipur exhibits moderate severity (66.7%).
Originality/value
The findings of this study reveal intrinsic insights into urban challenges in Bangladesh that will provide valuable guidance to city authorities, equipping them to implement integrated and effective initiatives and programs that overcome these predominant urban challenges, with a specific focus on Rajshahi, Sylhet, and Barishal city corporations.
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Imran Shabir Chuhan, Jing Li, Muhammad Shafiq Ahmed, Muhammad Ashfaq Jamil and Ahsan Ejaz
The main purpose of this study is to analyze the heat transfer phenomena in a dynamically bulging enclosure filled with Cu-water nanofluid. This study examines the convective heat…
Abstract
Purpose
The main purpose of this study is to analyze the heat transfer phenomena in a dynamically bulging enclosure filled with Cu-water nanofluid. This study examines the convective heat transfer process induced by a bulging area considered a heat source, with the enclosure's side walls having a low temperature and top and bottom walls being treated as adiabatic. Various factors, such as the Rayleigh number (Ra), nanoparticle volume fraction, Darcy effects, Hartmann number (Ha) and effects of magnetic inclination, are analyzed for their impact on the flow behavior and temperature distribution.
Design/methodology/approach
The finite element method (FEM) is employed for simulating variations in flow and temperature after validating the results. Solving the non-linear partial differential equations while incorporating the modified Darcy number (10−3 ≤ Da ≤ 10−1), Ra (103 ≤ Ra ≤ 105) and Ha (0 ≤ Ha ≤ 100) as the dimensionless operational parameters.
Findings
This study demonstrates that in enclosures with dynamically positioned bulges filled with Cu-water nanofluid, heat transfer is significantly influenced by the bulge location and nanoparticle volume fraction, which alter flow and heat patterns. The varying impact of magnetic fields on heat transfer depends on the Rayleigh and Has.
Practical implications
The geometry configurations employed in this research have broad applications in various engineering disciplines, including heat exchangers, energy storage, biomedical systems and food processing.
Originality/value
This research provides insights into how different shapes of the heated bulging area impact the hydromagnetic convection of Cu-water nanofluid flow in a dynamically bulging-shaped porous system, encompassing curved surfaces and various multi-physical conditions.
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Gaurav Sarin, Pradeep Kumar and M. Mukund
Text classification is a widely accepted and adopted technique in organizations to mine and analyze unstructured and semi-structured data. With advancement of technological…
Abstract
Purpose
Text classification is a widely accepted and adopted technique in organizations to mine and analyze unstructured and semi-structured data. With advancement of technological computing, deep learning has become more popular among academicians and professionals to perform mining and analytical operations. In this work, the authors study the research carried out in field of text classification using deep learning techniques to identify gaps and opportunities for doing research.
Design/methodology/approach
The authors adopted bibliometric-based approach in conjunction with visualization techniques to uncover new insights and findings. The authors collected data of two decades from Scopus global database to perform this study. The authors discuss business applications of deep learning techniques for text classification.
Findings
The study provides overview of various publication sources in field of text classification and deep learning together. The study also presents list of prominent authors and their countries working in this field. The authors also presented list of most cited articles based on citations and country of research. Various visualization techniques such as word cloud, network diagram and thematic map were used to identify collaboration network.
Originality/value
The study performed in this paper helped to understand research gaps that is original contribution to body of literature. To best of the authors' knowledge, in-depth study in the field of text classification and deep learning has not been performed in detail. The study provides high value to scholars and professionals by providing them opportunities of research in this area.
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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…
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.