Priya Saha, Md. Shakhawat Hossain, Nirmal Chandra Roy, Abdullah Al Masud and Ruhul Amin
This study aims to evaluate students’ intention and actual use (AU) of artificial intelligence (AI) tools’ to discover how the power of AI influences learning and academic success.
Abstract
Purpose
This study aims to evaluate students’ intention and actual use (AU) of artificial intelligence (AI) tools’ to discover how the power of AI influences learning and academic success.
Design/methodology/approach
This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and used convenience sampling to measure 304 students’ five-point Likert scale responses. The model was tested with AMOS-24 and SPSS-25, and the study found that AI boosted students’ learning experiences and explain importance of AI skills and knowledge.
Findings
Performance expectancy (PE), effort expectancy (EE), social influence and facilitating condition directly and indirectly affect AU via intent to use (IU), while subjective norms determining the use of AI tools’ and have no substantial influence. Attitude (ATT) moderates PE and EE, although the data show that ATT has no substantial effect on EE.
Originality/value
These insights may help student to understand how AI tools’ benefit them and what factors affect their utilization. When correctly designed and executed, UTAUT provides an appropriate integrated theoretical framework for robust statistical analysis like SEM.
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Tamanna Yesmine, Md. Emran Hossain, Md. Akhtaruzzaman Khan, Sandip Mitra, Sourav Mohan Saha and Md. Ruhul Amin
The economic development of Bangladesh is heavily reliant on the banking industry, yet it faces numerous hurdles, including liquidity issues, capital shortages, non-performing…
Abstract
Purpose
The economic development of Bangladesh is heavily reliant on the banking industry, yet it faces numerous hurdles, including liquidity issues, capital shortages, non-performing loans, inefficiencies and so on. Therefore, this study investigated the performance and efficiency of scheduled banks (state-owned, private commercial, foreign commercial and specialized banks) operating in Bangladesh.
Design/methodology/approach
The research was conducted using secondary data from annual reports of banks. The CAMELS rating system and Data Envelopment Analysis (DEA) methods were employed to measure the performance and efficiency of banks, respectively.
Findings
In the overall bank rankings, results revealed that foreign commercial Standard Chartered Bank and state-owned Sonali Bank Limited came in first and last position, respectively. Among the four categories of banks, foreign commercial banks were the best performer, while state-owned banks were the worst. Only two banks, i.e. Citibank NA and HSBC Bank, were scale efficient while the remaining banks were inefficient. In terms of performance and efficiency, state-owned and specialized banks were deemed wanting.
Practical implications
This study proposes recommendations to the policymakers that could lead to more effective tactics for improving the banking industry's performance and efficiency.
Originality/value
As far as the authors are concerned, this study presents empirical evidence on the performance and efficiency of different types of banks and explores comparisons among them, which has never been done to this extent in the country before.
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Md Ruhul Amin and Andre Varella Mollick
This paper aims to investigate how the relation between stock returns of US firms and West Texas Intermediate (WTI) oil prices is affected by leverage from 1990 to 2020.
Abstract
Purpose
This paper aims to investigate how the relation between stock returns of US firms and West Texas Intermediate (WTI) oil prices is affected by leverage from 1990 to 2020.
Design/methodology/approach
This paper examines how the relationship between stock returns of US firms and WTI oil prices is affected by leverage from 1990 to 2020 using a fixed-effect model estimation framework.
Findings
Results from the fixed-effect regression models suggest that leverage effects on stock returns are pervasive both in aggregate and cross-industry levels, while the mining industry is more sensitive. In addition to the positive oil price effects attenuated by leverage at the aggregate level, the authors observe stronger marginal effects of leverage only for the mining sector. Being more exposed to commodity prices, the positive effects of oil prices on stock returns in the mining sector are offset by large debt ratios. Asymmetries, effects of debt maturity structure and implications are also discussed.
Research limitations/implications
This study is grounded on the contemporary cash flow claim of leverage NOT on the long-run effect of leverage considering cash flow constraints. The oil price increase is assumed to represent an advancement of the overall economy. This study does not capture the oil prices response to some other economic forces and vice-versa.
Practical implications
Mining companies should therefore reduce the stock of debt with respect to their assets to make possible the “pass-through” from oil prices to the stock market.
Originality/value
Previously undocumented and the authors show that leverage reduces the total effect of oil prices on stock returns, consistent with the hypothesis. Asymmetric and debt maturity structures effects are also discussed.
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Md. Bokhtiar Hasan, Abu N. M. Wahid, Md. Ruhul Amin and Md. Delowar Hossain
The purpose of this study is to examine the impact of ownership structure such as family, government, institutional, foreign and public on dividend payouts as a representative of…
Abstract
Purpose
The purpose of this study is to examine the impact of ownership structure such as family, government, institutional, foreign and public on dividend payouts as a representative of dividend policy of nonfinancial firms in Bangladesh.
Design/methodology/approach
This study employs a dynamic panel data model, namely, differenced generalized method of moments (GMM), which follows a two-step process. The study uses annual data of a sample of 159 nonfinancial firms of Dhaka Stock Exchange for the period 2008–2017, which constitutes a panel data of 1,590 firm-year observations.
Findings
This study’s findings reveal that family and public ownerships have a significant and positive effect on dividend payouts, while government and institutional ownerships have a significant but negative effect. This study additionally incorporates some very important controlled variables and finds that except for size, all the selected controlled variables, i.e. lagged-one of dividend payout, returns on assets, debts to assets, price-earnings (PE) ratio, age and financial crisis have a significant effect on the dividend payouts. However, the findings support several dividend-related theories or hypotheses, i.e. agency cost theory, dividend stability theory and reputation hypothesis.
Research limitations/implications
This study could consider some other aspects of corporate governance, as well as other emerging markets and financial institutions to perceive whether the results differ. Also, investigation could be carried out on conventional and Islamic firms individually to observe if the findings are different. However, the researchers are suggested to incorporate these issues in their future studies.
Practical implications
This study offers an important insight into the relationship dynamics between dividend payouts and ownership structure in the context of an emerging market like Bangladesh. Moreover, it enhances the understanding of the ties of dividend payouts with the firm-specific factors as well as the financial crisis. The findings of the present study have also important implications for managers, policymakers and researchers, who are in quest of directions on the dividend policy of publicly listed nonfinancial firms.
Originality/value
Most of the previous studies consider one or two types of ownership to examine the impacts on dividend payouts, while this study uses five types of ownership accompanied by a different data set. Moreover, to the authors’ knowledge, no study in Bangladesh has yet addressed this issue in such a comprehensive manner as theirs.
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Md. Bokhtiar Hasan, Md Mamunur Rashid, Md. Naiem Hossain, Mir Mahmudur Rahman and Md. Ruhul Amin
This research explores the spillovers and portfolio implications for green bonds and environmental, social and governance (ESG) assets in the context of the rapidly expanding…
Abstract
Purpose
This research explores the spillovers and portfolio implications for green bonds and environmental, social and governance (ESG) assets in the context of the rapidly expanding trend in green finance investments and the need for a green recovery in the post-COVID-19 era.
Design/methodology/approach
This study utilizes Diebold and Yilmaz’s (2014) spillover method and portfolio strategies (hedge ratio, optimal weights and hedging effectiveness) for the data starting from February 29, 2012, to March 14, 2022.
Findings
The study’s findings reveal that the lower volatility spillover is evidenced between the green bonds and ESG stocks during tranquil and turbulent periods (e.g. COVID-19 and Russia-Ukraine War). Furthermore, hedging costs are lower both in normal times and during economic slumps. Investing the bulk of the funds in green bonds makes it possible to achieve maximum hedging effectiveness between the S&P green bond (GB) and the S&P 500 ESG.
Practical implications
Both investors and policymakers may use these findings to make wise investment and policy choices to achieve post-COVID environmental sustainability.
Originality/value
Unlike previous research, this is the first to explore the interconnectedness among the major global and country-specific green bonds and ESG assets. The major findings of this study about the lower volatility spillovers and hedging costs between green bonds and ESG assets during the tranquil and turbulent periods may contribute to the post-COVID investment portfolio for environmental sustainability.
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Abstract
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M. Ruhul Amin and Nafeez A. Amin
This paper discusses the efficacy of a model of benchmarking toward best practices in learning assessment in higher education. It outlines the need for best practices in learning…
Abstract
This paper discusses the efficacy of a model of benchmarking toward best practices in learning assessment in higher education. It outlines the need for best practices in learning assessment and reports findings on a comprehensive model of assessing learning outcomes of an undergraduate business program. By developing competency expectations of students, the model led to a multi‐method data collection/analysis toward benchmarking learning outcomes. The findings demonstrate how benchmarking leads to continuous curriculum improvement of instructional process and the curriculum. The authors claimed that in the absence of a generally accepted model, if the methodology is replicated, it may lead to the best practices in assessing learning outcomes of an undergraduate business program.
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Michael Pitt, Sarich Chotipanich, Ruhul Amin and Sittiporn Issarasak
The purpose of this paper is to overview carefully selected existing literature to enable further analysis directly concerned with facilities management (FM) supply chain…
Abstract
Purpose
The purpose of this paper is to overview carefully selected existing literature to enable further analysis directly concerned with facilities management (FM) supply chain structure, components, strategic issues, challenges and risk. Following the key aspects of assembly, design and, most importantly, management of FM supply chain are explored so that a guidance design framework can be put forward.
Design/methodology/approach
This paper examines the optimum technique that can be applied by clients and FM service providers where FM functions are outsourced. The paper initially defines the network structure of the FM supply chain and then suggests a conceptual model for making decisions about FM supply chain network at the strategy level. Furthermore, the paper argues for both supply chain design and for critical node micro management in a transparent supply chain environment with the FM acting as the strategic lens through which the focus of the supply chain is achieved.
Findings
This paper presents a process for designing and making decisions of FM service supply chain network. The process begins with an examination of the needs of facility services. It is followed by the step of identifying available options in delivering and processing the services. The third stage involves modelling structures of FM supply chain network. Then to make a final decision, all possible models have to be evaluated for their optimisation, both quantitative (cost) and qualitative (performance). At the end, the model with best optimisation should be selected.
Originality/value
This paper proposes a conceptual framework for designing facility service supply chain strategy and configuration to fit with the specific nature of facility service demand of a given organisation. The framework, featuring a set of processes including examining demand nature, identifying options available and analysing options, is first aimed at providing an assisting tool in identifying optimum supply chain network/solution of facility services and, second, intends to stimulate further discussions on this continuously evolving and challenging market.
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Heather A. Howard, Nora Wood and Ilana Stonebraker
Librarians in higher education have adopted curriculum mapping in an effort to determine where effective information literacy instruction can help fill gaps in the curriculum and…
Abstract
Purpose
Librarians in higher education have adopted curriculum mapping in an effort to determine where effective information literacy instruction can help fill gaps in the curriculum and prepare students for both coursework and future research demands. While curriculum mapping has been used widely across academia, few studies have considered business curriculum and the development of information literacy instruction. This paper aims to provide an overview of the current landscape of curriculum mapping across business courses at two institutions and a replicable methodology for other institutions.
Design/methodology/approach
In this paper, the authors will examine two case studies at large research universities that evaluate curriculum mapping against the BRASS Business Research Competencies at the undergraduate and the graduate business levels.
Findings
This study found that the Business Research Competencies are a valid method to evaluate in both case studies. Curriculum mapping also uncovered various gaps in business education across the curricula at both institutions and led to open discussions with faculty in an effort to improve the success of students both during their degree programs and into their careers.
Originality/value
This study provides a framework and methodology for evaluating business curriculums against robust standards to improve student success. With examples from undergraduate and graduate programs, the results of this project promise to have long-lasting implications on the development of curriculums across business programs, including the value of librarian support in developing Business Research Competencies.