Search results

The purpose of this paper is to use scholarly communication and citation data to rank the universities in a developing country perspective in Bangladesh.

This paper used publication and citation data from Scopus to rank the universities in Bangladesh. The number of papers published in each year during 2008-2018 by the select 33 universities, faculty per capita, the two-year citations and the number cited articles were used to arrive at a yearly weighted score and overall score for each university. The overall score was used to produce the ranking of the universities in Bangladesh.

The findings indicate that the ranking system can be implemented at the national level as an annual exercise to rank the higher education institutions in developing country perspective.

This is the first time an effort has been made to rank the universities in Bangladesh using publication and citation data. The findings of this paper could help policymakers, administrators and academicians to understand how the universities are performing in terms of scholarly activities.

The extant literature provides evidence that single CEOs are less risk-averse. Building on the theory of risk aversion, the authors argue that the risk aversion trait arising from CEO’s marital status partially explains capital allocation efficiency. The paper aims to examine the association between CEO marital status and capital allocation efficiency.

The primary sample includes 9,671 observations from 1,264 US firms. The authors apply multivariate regression and a series of endogeneity tests to examine the association between CEO marital status and capital allocation efficiency.

Single-CEO firms have higher capital allocation inefficiency than those with married CEOs. The findings continue to hold after a series of endogeneity tests such as propensity score matching, change analysis and instrumental variable regression analysis and are robust to alternative proxies for capital allocation inefficiency. The capital allocation inefficiency in single-CEO firms arises from overinvestment but not underinvestment, and corporate risk-taking channels the effect.

The study is limited to the effect of CEO marital status, not CEO marital quality.

The findings imply that besides information asymmetry and agency conflicts, CEO marital status should receive special attention for capital allocation efficiency. Also, marital status influences the CEOs’ commitment to the general good of society, affecting the potential conflict of interest with different stakeholders from inefficient capital allocation.

This study extends corporate finance literature on CEO marital status by providing novel evidence on the effect of single CEOs on capital allocation efficiency. The authors conclude that CEOs’ personality traits, such as marital status, matter in corporate policy choices.

The study aims to empirically examine the relationship between monetary policy and economic growth, as well as to explore the long-run and the short-run effect of monetary policy on the economic growth of a developing country (Bangladesh) and a developed country (the United Kingdom).

Depending on data availability, the study employed secondary data covering the period of 1980–2019. The augmented Dickey–Fuller test and the Phillips–Perron test were used for the stationarity test. Further, the F-bounds test was run to justify the long-run relationship between monetary policy and economic growth. Thereafter, long-run coefficients were revealed from the auto-regressive distributed lag (ARDL) model and short-run coefficients from the error correction model. Furthermore, the vector error correction model (VECM) Granger causality approach was employed to demonstrate the causality of studied variables. Lastly, different diagnostics tests ensured the robustness of the models.

F-bounds test outcomes suggest that monetary policy has a long-run relationship with economic growth in both countries. Long-run coefficients revealed that money supply has a positive long-run impact on economic growth in both countries. Unlike the UK, the exchange rate exhibits an adverse effect on the economic growth of Bangladesh. The bank rate seems to promote economic growth for the UK. Findings also depict that increase in lending interest rates hurts the economic growth for both countries. Besides, the short-run coefficients portray random effects at different lags in both cases. Lastly, causality among studied variables is revealed using the VECM Granger causality approach.

The novelty of this study lies in consideration of both developing and developed countries in the same study.

This paper aims to explore the effects of bank diversification (i.e. diversification of income and diversification of assets) on Bangladeshi banks’ profitability.

Using a dynamic panel data model with system generalized methods of moments, the authors examine an unbalanced panel data from 32 banks spanning 318 bank-year observations from 2007 to 2016.

The findings indicate a significant positive association of income diversification and asset diversification on bank profitability. Therefore, the results show that banks can generate profit from diversification of income and diversification of assets.

One of the rare attempts to investigate the relationship between diversification and profitability in Bangladesh’s banking sector is this report. The authors anticipate the results to have major consequences for Bangladeshi bank regulators and other related economies.

The goal of the current research is to use different machine learning (ML) approaches to examine and predict customer reviews of food delivery apps (FDAs).

Using Google Play Scraper, data from five food delivery service providers were collected from the Google Play store. Following cleaning the reviews, the filtered texts were classified as having negative, positive, or neutral sentiments, which were then scored using two unsupervised sentiment algorithms (AFINN and Valence Aware Dictionary for sentiment Reasoning (VADER)). Furthermore, the authors employed four ML approaches to categorize each review of FDAs into the respective sentiment class.

According to the study's findings, the majority of customer reviews of FDAs were positive. This research also revealed that, while all of the methods (decision tree, linear support vector machine, random forest classifier and logistic regression) can appropriately classify the reviews into a sentiment category, support vector machines (SVM) beats the others in terms of model accuracy. The authors' study also showed that logistic regression provided the highest recall, F1 score and lowest Root Mean Square Error (RMSE) among the four ML models.

The findings aid FDAs in determining customer review behavior. The study's findings could help food apps developers better understand how customers feel about the developers' products and services. The food apps developer can learn how to use ML techniques to better understand the users' behavior.

The current study uses ML methodologies to investigate and predict consumer attitude regarding FDAs.

The experience of safety as perceived by customers is a central issue in retailing, and its importance has increased because of the pandemic. Substantial literature exists addressing different factors related to safety/security experience in different types of retail channels. However, what is missing is a unified framework to guide safe customer experience initiatives across all channels. Therefore, this study aims to investigate the safety elements in omnichannel retailing as perceived by customers and how these safety elements affect customer experience (CX) judgments and consumer behavior in a post-pandemic context.

A systematic literature review on safety/security studies in a retail context is conducted, followed by a qualitative study driven by a means-end-chain laddering technique collecting data from 62 retail customers in Australia, the USA and UK.

Fourteen distinct safety elements in omnichannel retailing are identified. Four elements are relevant to the CX at the pre-purchase stage of the customer journey: social inclusiveness, role readiness, employment policy and safety policy enforcement. Six elements are relevant to the during-purchase stage: physical safety, personal hygiene, spatial distancing, fraud prevention, security surveillance and safety signal. The remaining four elements are relevant to the post-purchase stage: delivery safety, safety recall, mental health and data usage.

This study presents a new unified framework addressing safety and security in post-pandemic retail service settings. The SafeCX framework offers researchers and managers a holistic understanding of the distinct safety elements that shape customers’ perceptions across each customer journey stage of the retail CX.

The purpose of this study is to propose a centralized Shariah governance framework (CSGF) for the Islamic banks and Shariah governance in Bangladesh as such, the existence and practices of the Shariah governance framework (SGF) are decentralized and diversified.

The paper implements a qualitative case study approach to develop a CSGF for the Islamic banks in Bangladesh. The data has been collected from 17 respondents through semi-structured interviews with a combination of regulators, Shariah supervisory board members, Shariah department executives and Shariah experts from the central bank and Islamic banks in Bangladesh.

This study proposes a CSGF which is comprising two-tier Shariah supervisory boards (SSBs), i.e. institutional SSB and centralized Shariah supervisory board (CSSB) under the central bank to monitor the overall functions of SG. The study recommends the setting up of four departments under the central bank to enhance the functions of CSSB. Besides, the central bank can introduce Shariah rating, external Shariah audit and external Shariah review through Islamic rating agencies and Islamic Chartered Accountant Firms for transparency and quality compliance which are more desired from the public and other stakeholders.

The study significantly contributed to the national and global regulatory bodies by providing a structural CSGF for the Islamic banks to perform their functions and activities smoothly.

The study outlines a CSGF for the Islamic banks in Bangladesh as the existing practices are diversified and decentralized. Therefore, this framework would be helpful for the central bank and Islamic banks in Bangladesh to promote unique practices of the SGF.

This is the first research that provides a structure of CSGF for Islamic banks in Bangladesh, while the central bank of Malaysia developed the first SGF. There is no study concerning the demographic figure of CSGF of Islamic banks in the entire literature.

Earlier studies on employee turnover have invested enormous scholarly mileage to understand and address human resource challenges. Considering the substantial evidence on the negative and non-linear relationship between employee turnover and firms’ performance, the purpose of this study is to investigate the effects of employee turnover on the social outreach (e.g. breadth of outreach) of microfinance institutions (MFIs), also known as the financial inclusion agenda of the Sustainable Development Goals.

To achieve the study objective, the authors collected unbalanced panel data of 1,391 MFIs, covering a total of 96 economies and a period of 2010–2018. The organizational and macroeconomic data were obtained from the World Bank’s Mix Market and World Development Indicators databases, respectively, and subsequently analysed using the pooled ordinary least squares, random effects model, fixed effects model and generalized method of moments.

Overall, the authors found that employee turnover has a positive impact on the social outreach of MFIs, which suggests that employee turnover reduces organizational blindness and groupthink, potentiates efficiency gains and minimizes retention costs. On the contrary, this study does not find evidence of a non-linear effect of employee turnover on the outreach objectives of MFIs. Meanwhile, these effects were observed to vary depending on the proxy, sub-samples and techniques used in the analysis.

Motivated by the paucity of literature, the study has uniquely investigated the effect of employee turnover on the social outreach objective of MFIs by using relatively recent and global-level data. The study findings can help managers and the human resource departments to make optimum decisions about employee turnover management.

Despite being a Muslim-dominated country, Bangladesh has widely embraced traditional microfinance since its inception in the mid-1970s. However, Islamic microfinance, which has a lot to offer to the poor, is still in its infancy and has yet to gain momentum in the country. Therefore, the purpose of this study is to analyze the importance of Islamic microfinance and propose alternative Shariah-compliant microfinance models in Bangladesh.

This study is based on the desk research method, which relies on existing literature to collect secondary data on key concerns of traditional microfinance programs. In addition, institutional-level secondary data were also collected from the Microcredit Regulatory Authority (MRA) of Bangladesh. Guided by the Maqasid-al-Shariah, this study then proposes several Islamic microfinance models to overcome selected challenges faced by the microfinance industry in Bangladesh.

This study suggested three composite Shariah-compliant microfinance models, which are likely to help the underprivileged and thus ensure the achievement of the sustainable development goals in Bangladesh. The first model explained how the operational strategy of incumbent microfinance institutions (MFIs) could be restructured, while the second proposed the organizational strategies for establishing a new MFI. The third model used the notion of Sadaqah (charity) to address the multiple borrowing issues of the industry. Meanwhile, the successful transformation of the conventional microfinance industry to an Islamic one is dependent on the effective collaboration between the regulatory authorities, practitioners and MFIs.

Albeit the paucity of literature on the topic, the findings of this study will guide policymakers/practitioners in designing relevant microfinance models to help transform conventional microfinance into Islamic microfinance in Bangladesh.

Measuring the success of microfinance institutions (MFIs) using a single efficiency value and then exploring its determining factors might be misleading. Hence, this study decomposed the efficiency measure into three divisions, namely operational, financial sustainability and social outreach. Subsequently, the authors identified factors affecting these efficiencies in the second stage regression analysis.

This study employed the network data envelopment analysis approach to evaluate each division of efficiency of 90 MFIs from 2013 to 2018 and used second-stage regression techniques (Tobit and Truncated) to examine the effect of institutional factors.

The authors’ efficiency analysis revealed that financial sustainability and social outreach were responsible for the low overall efficiency. The second stage analysis revealed the negative influence of institutional factors such as efficiency wage (particularly among small MFIs) on financial sustainability, social outreach and overall efficiencies. Staff turnover reduced operational, financial and overall efficiencies, particularly for large MFIs. The presence of female board members and staff improved the efficiency of MFIs, thus highlighting the pivotal role of women in the success of MFIs. Besides, the effects of regional location of MFIs, regulation and legal status on efficiencies were further discussed.

The study has uniquely evaluated three different types of efficiency in MFIs and employed conventional techniques for the second-stage regression to identify the determinants of efficiency. The findings will enable managers to make appropriate decisions to enhance their organisational efficiency.