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Article
Publication date: 10 January 2025

Ali Amin, Rizwan Ali, Ramiz Ur Rehman and Ahmed A. Elamer

The strategic behavior of family firms is not the same when the top management positions are occupied by nonfamily executives. This study aims to examine the dividend payout…

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Abstract

Purpose

The strategic behavior of family firms is not the same when the top management positions are occupied by nonfamily executives. This study aims to examine the dividend payout behavior of family firms in the presence of nonfamily chairperson and nonfamily chief executive officer (CEO).

Design/methodology/approach

The authors used 2,926 firm-year observations of nonfinancial firms listed on Pakistan Stock Exchange over the period 2012–2021. To test the hypotheses, the authors used a generalized method of moments estimation and further applied ordinary least squares regression and fixed effects analysis to check for the robustness of results.

Findings

Using the lens of social identity theory, the authors found that for the sake of a firm’s reputation and to increase the wealth of family, the family firms are associated with higher dividend payout. However, the presence of nonfamily chairperson and nonfamily CEO weakens this positive relationship due to higher information asymmetry leading to lower dividend payout in such firms.

Originality/value

The study adds to the family business literature by highlighting the dividend payout behavior of family firms and providing empirical evidence of distinct behavior of family firms in presence of nonfamily chairperson and nonfamily CEO in context of an emerging economy.

Details

Corporate Governance: The International Journal of Business in Society, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-0701

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Article
Publication date: 3 April 2024

Rizwan Ali, Jin Xu, Mushahid Hussain Baig, Hafiz Saif Ur Rehman, Muhammad Waqas Aslam and Kaleem Ullah Qasim

This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates…

166

Abstract

Purpose

This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates technical and macroeconomic indicators.

Design/methodology/approach

In this study we used advance machine learning techniques, such as gradient boosting regression (GBR), random forest (RF) and notably long short-term memory (LSTM) networks, this research provides a nuanced understanding of the factors driving the performance of AI tokens. The study’s comparative analysis highlights the superior predictive capabilities of LSTM models, as evidenced by their performance across various AI digital tokens such as AGIX-singularity-NET, Cortex and numeraire NMR.

Findings

This study finding shows that through an intricate exploration of feature importance and the impact of speculative behaviour, the research elucidates the long-term patterns and resilience of AI-based tokens against economic shifts. The SHapley Additive exPlanations (SHAP) analysis results show that technical and some macroeconomic factors play a dominant role in price production. It also examines the potential of these models for strategic investment and hedging, underscoring their relevance in an increasingly digital economy.

Originality/value

According to our knowledge, the absence of AI research frameworks for forecasting and modelling current aria-leading AI tokens is apparent. Due to a lack of study on understanding the relationship between the AI token market and other factors, forecasting is outstandingly demanding. This study provides a robust predictive framework to accurately identify the changing trends of AI tokens within a multivariate context and fill the gaps in existing research. We can investigate detailed predictive analytics with the help of modern AI algorithms and correct model interpretation to elaborate on the behaviour patterns of developing decentralised digital AI-based token prices.

Details

Journal of Economic Studies, vol. 51 no. 8
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 29 November 2024

Suhail H. Serbaya, Ali Rizwan, Manuel Sánchez-Chero, Iram Mushtaq, Mahender Singh Kaswan and Jose Arturo Garza-Reyes

The main objective of the study is to analyze the effectiveness of the advance organizer model (AOM) versus the conventional teaching method (CTM) in teaching high school math…

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Abstract

Purpose

The main objective of the study is to analyze the effectiveness of the advance organizer model (AOM) versus the conventional teaching method (CTM) in teaching high school math using game-based learning (GBL) for improved student learning performance.

Design/methodology/approach

Data from 480 students, covering sociodemographics, educational identifiers and actions, were collected across two semesters. The research analyzed factors like interest, motivation, and problem-solving abilities to assess the impact of teaching methods. A quasi-experimental design, due to non-randomized group selection, was used, mitigating differences via analysis of covariance. Students were split into control and test groups, and test scores before and after administering the treatment were calculated. Hypothesis testing was carried out to find the effectiveness of AOM versus CTM. The sample contains a diverse sociodemographic background and educational setting. 175 students in the sample were female and 305 were male. The sample was made up of 14 nationalities, including Saudi Arabia, Jordan, Peru, Iraq and Lebanon. Parent participation was also incorporated through parental satisfaction surveys.

Findings

Despite unknown group differences, the study found significant differences in Mean Retention Scores between the AOM and CTM groups. This suggests that AOM has considerable advantages in teaching mathematics over CTM.

Originality/value

The study of the first kind that explores the effectiveness of different teaching methods based on gamification perspective for improving student performance.

Details

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

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Book part
Publication date: 10 December 2024

Greta Keliuotytė-Staniulėnienė and Joana Mačėnaitė

Purpose: This study quantitatively assesses the impact of ESG profile on equity value and risk, as well as identifies potential differences occurring in different sectors, based…

Abstract

Purpose: This study quantitatively assesses the impact of ESG profile on equity value and risk, as well as identifies potential differences occurring in different sectors, based on the data of the Nasdaq Nordic market.

Methodology: To reach this purpose, (i) the stock return and volatility analysis is being conducted (using the methods of paired sample t-test, correlation, etc.), and (ii) panel data models with constant, fixed and random effects are being constructed. The analysis is based not only on the company’s ESG performance but also on a cross-sectoral approach.

Findings: The results revealed that although ESG factors appeared to have a significant impact in most of the constructed models, the impact of these factors varies depending on the sector.

Implications: This research provides a comprehensive and comparative approach to the importance of the ESG profile for investment performance and therefore can be useful both for impact investors making investment decisions in dynamic global financial markets and for companies developing or reforming their ESG strategies.

Limitations: Due to the problem of data availability, the cross-sectoral comparison was performed based on the limited number of sectors. In addition, the limited availability of ESG data in the analysed market did not allow the use of additional methods to assess the impact of ESG.

Future Research: Expanding the data sample and assessing the impact of a company’s ESG profile not only in different sectors but also in different phases of the economic cycle might be the direction for future research.

Details

Exploring ESG Challenges and Opportunities: Navigating Towards a Better Future
Type: Book
ISBN: 978-1-83549-910-8

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Article
Publication date: 13 December 2024

Najeb Masoud

The purpose of this paper is to systematically review how agency and stakeholder theories are integrated within corporate governance and environmental disclosure practices in the…

38

Abstract

Purpose

The purpose of this paper is to systematically review how agency and stakeholder theories are integrated within corporate governance and environmental disclosure practices in the UAE, highlighting their relevance and adaptation to a distinct economic and regulatory environment.

Design/methodology/approach

Using a comprehensive qualitative methodology, this study synthesises a broad spectrum of existing theoretical and empirical research to explore the dynamics of corporate governance mechanisms regarding environmental sustainability. This approach enables a detailed examination of how agency theory’s focus on principal–agent relationships complements stakeholder theory’s broader view of corporate responsibilities.

Findings

This research uncovers significant insights into corporate conduct and responsibility, emphasising the need to balance shareholder objectives with broader stakeholder interests. It identifies key challenges in this integration, such as managing the complexities and potential conflicts between different stakeholder demands. The findings underscore the crucial role of specialised governance mechanisms, like board characteristics and committees, in enhancing environmental transparency and accountability.

Originality/value

This study contributes to the academic discourse by shedding light on the interplay between corporate governance frameworks and environmental disclosure practices within the UAE. It offers fresh insights into applying established theories in a non-Western context. These insights are precious for academics, practitioners and policymakers interested in refining corporate governance and promoting environmental responsibility. The practical implications drawn from the findings empower stakeholders to implement effective strategies that can enhance a firm’s reputation, legitimacy and long-term viability.

Details

Corporate Governance: The International Journal of Business in Society, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-0701

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Article
Publication date: 17 October 2023

Xiao Ling Ding, Razali Haron and Aznan Hasan

This study aims to determine how Basel III capital requirements affect the stability of Islamic banks globally during the global financial crisis and the COVID-19 pandemic.

143

Abstract

Purpose

This study aims to determine how Basel III capital requirements affect the stability of Islamic banks globally during the global financial crisis and the COVID-19 pandemic.

Design/methodology/approach

The secondary data for all Islamic banks worldwide from 2004 to 2021 is obtained from the FitchConnect database. The main technique was a two-step generalized method of moment (GMM) system, and the data were tested using pooled ordinary least squares, fixed effects and difference GMM models for robustness checks.

Findings

Regression results support the moral hazard hypothesis based on evidence that both the total capital ratio and the Tier 1 capital ratio have a statistically significant positive impact on the stability of Islamic banks globally. Furthermore, neither the global financial crisis of 2008–2009 nor COVID-19 (2020–2021) significantly impacted the stability of Islamic banks worldwide. The results are robust across alternative measures of stability, capital buffers, dummy variables and estimation techniques. According to the descriptive statistics, the number of Islamic banks that disclose their regulatory capital ratios to the public has increased over the study period, and the mean of total capital and Tier 1 ratios are considerably greater than what is required by Basel II and Basel III.

Research limitations/implications

Bankers, regulators and policymakers should benefit from the evidence on capital and risk management in Islamic banking according to Basel Committee on Banking Supervision (BCBS) and Islamic financial services board (IFSB) international standards in various jurisdictions.

Originality/value

This research builds on earlier studies that were both beneficial and instructive by exploring the relationship between BCBS and IFSB capital guidelines and the trustworthiness of Islamic banks in greater depth. This study uses numerous capital ratios, buffers and stability measures to provide an international context for research on Islamic banking. In addition, the database is up-to-date to include information about the COVID-19 pandemic aftereffects in the year 2021. This study also introduces the Basel membership of Islamic banks to provide context for countries still at the Basel II stage or are yet to begin implementing the Basel III international standard.

Details

Journal of Islamic Accounting and Business Research, vol. 16 no. 3
Type: Research Article
ISSN: 1759-0817

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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…

33

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

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Article
Publication date: 14 October 2024

Rizwan Qaiser Danish, Muhammad Ali, Marzena Baker and Ranjita Islam

Institutional pressures, increased competition and environmental changes demand sustainable business performance. Using the lens of stakeholder theory, this study aims to explore…

155

Abstract

Purpose

Institutional pressures, increased competition and environmental changes demand sustainable business performance. Using the lens of stakeholder theory, this study aims to explore the simultaneous relationships of corporate social responsibility (CSR), green practices and perceived organizational politics (POP) with sustainable business performance, incorporating employee pro-environmental behavior (EPB) as a moderator.

Design/methodology/approach

Using a cross-sectional research design, data were collected via a survey of employees (n = 422) from across industries.

Findings

Based on hierarchical regression analyses, the findings support stakeholder theory by showing that CSR and green practices positively affect sustainable business performance. The findings also extend stakeholder theory by showing that the CSR-sustainable business performance relationship is moderated by EPB.

Practical implications

The study has practical implications for leaders, managers and supervisors in managing CSR and green practices for sustainable business performance and managing EPB to capitalize on the benefits of CSR.

Originality/value

This study assesses the previously untested simultaneous effects of CSR, green practices and POP on sustainable company performance and the moderating effect of EPB.

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Book part
Publication date: 28 February 2025

Syed Ali Raza, Darakhshan Syed, Syed Rizwan and Maiyra Ahmed

Abstract

Details

The Global Evolution, Changing Landscape and Future of Financial Markets
Type: Book
ISBN: 978-1-83549-331-1

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Book part
Publication date: 28 February 2025

Syed Ali Raza, Darakhshan Syed, Syed Rizwan and Maiyra Ahmed

Abstract

Details

The Global Evolution, Changing Landscape and Future of Financial Markets
Type: Book
ISBN: 978-1-83549-331-1

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