Purpose: This study examines the relationship between HR practices and millennial employee retention in the tourism industry in Bangladesh. It investigates the moderating role of the work environment in the relationship between HR practices and employee retention in the industry.Design/methodology/approach: The researchers used non-probability judgemental sampling to collect 384 questionnaires through a survey of millennial employees. Partial least square-based structural equation model (PLS-SEM) was used to analyse the data.Findings: The results reveal that HR practices included in this paper have significant relationships with millennial employee retention in the tourism industry in Bangladesh, except employee participation in decision-making. In addition, the results show that the work environment only moderates the relationship between two HR practices (compensation, training and development) and millennial employee retention.Practical implications: The results suggest that managers in tourism organisations must develop HR practices and foster a positive work environment to retain millennials.Originality/value: This is the only study that examines the moderating role of the work environment on the relationship between five selected HR practices (training and development, job security, performance appraisal, employee participation, compensation) and millennial employee retention. Previous studies used fewer HR variables.

The COVID-19 forced to transform face-to-face mode of teaching to virtual in educational institutions around the globe that not only impact institutional stakeholders, but also posed as a threat to entire humanity because, all parties related to education had to change their activities. The intentions of this study therefore firstly, to determine the content analysis by interviewing tertiary students and secondly, to determine the frequency distribution by questionnaire developed from results of the content analysis. To better understand the consequences of this outbreak, we took an interview from forty respondents, including undergraduate and postgraduate students across Bangladesh. Results of Content analysis revealed that stakeholders of tertiary education are encountering severe problems in mental health, financial, technical, and study. A questionnaire was designed based on results were obtained through content analysis and distributed using email, WhatsApp, LinkedIn, Telegram, Facebook, and Instagram from May 20 to May 30, 2021. A total number of 505 valid questionnaires were received from respondents. Frequency distribution analysis disclosed that 60% respondents have no separate reading rooms. Laptops and desktops are commonly used for online classes, but unfortunately, 21% respondents have no personal electronic gadgets. Moreover, 55% reported spending less time to study during the coronavirus outbreak. Furthermore, 88% respondents reported experiencing mental health-related stress, anxiety, and depression problems. The proportion that suffered financial crisis, family disruptions, internet and technology related problems were 79%, 83% and 72% respectively. Since coronavirus pandemic is a totally new phenomenon in the world, not much empirical literature exist. So we fill the gap, investigating the issue empirically using content and frequency distribution analysis. Policy implications and recommendations are discussed accordingly.

This paper examines the regulation of corporate governance on leverage structure decision-making in Bangladesh from 2003 to 2017. Appropriate panel methods are employed to control the problems of serial correlation, heteroskedasticity, and the cross-sectional nature of manufacturing companies. The study finds that corporate governance attributes such as board size, managerial ownership, and duality are the dominant factors for leverage decision-making. The results also indicate that control variables such as firm size and profitability have an influential role on leverage decision-making in Bangladesh. Our findings substantiate the idea that political and family connections to corporate governance structure greatly influence the leverage decision-making of corporate firms in Bangladesh.

Purpose: Economic hardship and crime is always a debatable issue in the political economy literature. Some authors define poverty leads to crime some are completely opposite. The purpose of this paper is to find out the impact of poverty on crime in the USA.Design/methodology/approach: Using time series data of USA over the period from 1965 to 2016, this study applies autoregressive distributed lag approach to identify the effect of poverty on crime.Findings: The outcomes confirm a positive co-integrating relationship between poverty and property crime. It can be argued that poverty ultimately leads property crime in long run in the USA. However, unemployment and GDP exhibit neither long-run nor short-run relationship with property crime and they are not cointegrated for the calculated period.Research limitations/implications: The subject of this paper helps to explain and analyze the nexus between poverty and crime in the USA.Practical implications: Government and policymakers should focus more on poverty rather than unemployment alone to control property crime.Originality/value: This study attempts to identify the consequences of economic hardship and poverty on the crime in the advanced economy like USA.

Policymakers are usually getting worried due to the continuous increases in non-performing loans, and the situation is expected to worsen in this era of COVID-19 pandemic. It is well established that NPL is one of the key indicators of the success and stability of the banking sector. However, very little attention has been paid regarding this issue in an emerging county like Bangladesh. Therefore, the purpose of this study is to examine and evaluate the factors influencing the non-performing loans (NPLs) of conventional and Islamic banks. We performed the analysis by employing annual panel dataset of top twenty-six conventional banks and four Islamic banks in Bangladesh over the period 2014 to 2018. The Pooled Ordinary Least Square (OLS) approach is employed to investigate the impact of credit growth, loans to deposit ratio, capitalization, inefficiency, size, diversification and economic growth on non-performing loans (NPLs). The empirical results reveal strong evidence that inefficiency has a significantly positive effect on NPLs, whereas loan to deposit ratio has a negative effect on NPLs. The results suggest policymakers need to lessen bank inefficiency with a view of reducing NPL, which ultimately will enrich shareholder's value.