Jahangirnagar University Journal of Business Research

Green Human Resource Management Practices and Employee Green Involvement in The Banking Sector: An Empirical Study

kamrun Naher — 2025-06-29

ABSTRACT

This study observes the association between Green Human Resource Management (GHRM) practices and Employee Green Involvement (EGI) in Bangladesh's banking sector. Moreover, this paper's framework consisted of Ability Motivation Opportunity (AMO) theory, in which Ability, Motivation, and Opportunity were focused on creating a model basement. This study used the partial least square structural equation modeling technique in data analysis. Self-administered questionnaires are used for data collection from different levels of employees of state-owned commercial banks in Bangladesh. Research questionnaires were sent to employees working in four banks through 38 branches in Dhaka and Rajshahi divisions. The data were collected from 385 bank employees using a simple random sampling method. The study outcomes confirm that GHRM functions like GRS, GTD, GPAM, and GPRM have a strong positive association with EGI in Bangladesh's banking sector. These recommendations clarify the affiliation between sustainable GHRM practices and employee involvement, increasing employee participation and commitment to organizational success. The study's limitations are generalizability, cross-sectional design, and lack of mediation analysis. Future researchers should employ a more diverse technique, different areas, and longitudinal techniques to establish causative interactions and incorporate mixed research methods for gaining in-depth insights with more variables.

Macroeconomic Determinants of Public Debt in Bangladesh: An ARDL Approach

Mala Rani Das — 2025-06-29

The majority of developing nations worldwide have relied on borrowing to fund their operations and development. Studying the primary macroeconomic drivers of public debt is essential to escaping the debt burden. Using the ARDL model, this study investigates the macroeconomic determinants of Bangladesh’s public debt from 1975 to 2022. The macroeconomic factors that influence public debt are co-integrated, according to the estimated results of the ARDL bound test. In short run government spending, import and FDI significantly reduces public debt where GDP growth insignificantly reduces public debt. In the long run import and inflation rate significantly reduces public debt while export significantly increases public debt. Also, GDP growth insignificantly increases public debt. Study recommends that Bangladesh should always pursue responsible monetary and fiscal policies because they foster an atmosphere that is conducive to economic expansion. Establishing such a setting is a crucial precondition to using public debt effectively.

E-commerce policy impact on the UK i-business in the Wake of Huawei Ban by US

MD ASHRAF HARUN — 2025-06-29

This paper aims to analyze how the information of the US ban on Huawei Technologies and the ensuing trade war between the US and China have influenced e-commerce and international business in the UK. The global digital economy is interdependent, and e-commerce-related policy significantly shapes this influence and direction globally. Telecommunication with smartphones and other technologies are driving this change with an impact on international business, specifically the i-business platforms in the UK market. Qualitative analysis is employed here. Interviews with industry experts from the US, China and the UK added value to gain a profound level of indulgence and insights into the subject matter and its associated policy implications. Aspects of e-commerce, trade flows, global value chain, and international business in general are critically evaluated in the review based on what the empirical findings indicate as areas of multi-level impact. E-commerce-related policy analysis is undertaken in this process to make recommendations with the limitations and further scope of the study.

Company Performance & Corporate Governance in Emerging Economy – Evidence from Textile Industries of Bangladesh

Maksuda Begum — 2025-06-29

This research investigates the effect of corporate governance practices in improving business performance in Bangladesh's textile industry, aiming to identify best practices and enhance Bangladeshi firms' competitiveness. The research used data from randomly selected 25 textile companies listed on Dhaka Stock Exchange to analyze the relationship between corporate governance practices and firm performance for the period 2012 to 2023. The research combines financial data analysis with FGLS regression techniques to explore how corporate governance practices impact on firm success in Bangladeshi textiles. Corporate governance mechanisms significantly effect firm performance; careful management of leverage levels is crucial for optimizing performance in this context. Corporate leaders, legislators, investors, and other stakeholders can use these insights to improve corporate governance standards and ensure that businesses function with integrity and efficiency. Strong corporate governance mechanisms, such as an independent board, effective audit committees, and shareholder rights protection are critical to improving firm performance and long-term success.

Predictability of Stock Returns: A Weak Form Efficiency Test of the Dhaka Stock Exchange

nusrat jahan benozir — 2025-06-29

This study investigates the weak-form market efficiency of the Dhaka Stock Exchange (DSE). The study uncovered valuable insights that drive informed investment decisions by leveraging daily closing price data from the DSEX, DSE30, and DSES indices from 2015 to 2023. The findings revealed significant deviations from weak-form efficiency, with evidence of autocorrelation, non-stationarity in returns, and predictable price patterns. These inefficiencies are attributed to structural factors such as low liquidity, limited regulatory frameworks, and behavioral biases prevalent in emerging markets. The results suggested that past price information can predict future stock movements, offering opportunities for investors to achieve abnormal returns but posing challenges for market stability. The study underscored the need for regulatory reforms, improved market transparency, and enhanced investor education to foster market efficiency. These findings provided critical insights for policymakers, investors, and researchers, highlighting the complex dynamics of market behavior in emerging economies like Bangladesh.

The Extended Unified Theory of Adoption and Use of Generative Artificial Intelligence in Accounting Profession: Evidence from Emerging Economy

Shahima Jabin — 2025-06-29

The research aims to determine the impact of the implementation of generative artificial intelligence (AI) on the accounting profession in Bangladesh by using the extended Unified Theory of Adoption and Use of Technology (UTAUT) model. Another purpose is to show the mediating effect of perceived risk and the moderating effect of experience and job type on the UTAUT model. For this purpose, data are collected from 450 accountants using a structured questionnaire. Statistical analyses are carried out to test the hypotheses of the proposed structural equation model in AMOS 24 and SPSS 23. The research found that traditional variables of the UTAUT model which are performance expectancy, effort expectancy, social influence, and newly introduced variables Reliability perception positively affect the intention to use generative AI in the accounting profession. Another variable facilitating condition positively affects generative AI usage. Another freshly introduced variable Privacy and Security concern negatively impacts the intention to use generative AI in accounting. Another is Training and development which positively affects effort expectancy. All the mediation and moderation analyses are statistically significant. To ensure the uptake and efficient application of generative AI, chartered accountancy firms should prioritize taking training initiatives, resolving privacy and security issues, and creating a positive work atmosphere.

Social Media Influencers: Examining the Mediating Effect of Parasocial Interaction and the Moderating Effect of Online Comments on Purchase Intention

Muhsina Jannat — 2025-06-29

This study aims to explore how influencers’ attributes foster parasocial interactions on social media, which in turn influence consumers’ purchase intentions. Additionally, it examines the mediating role of parasocial interactions and the moderating effect of online comments on purchase intention. Drawing on Horton and Wohl's parasocial interaction theory (1956), this study developed and analyzed a model illustrating the direct and indirect relationships between the three independent factors - influencers' attributes, parasocial interaction, online comments and the dependent factor- consumers' purchase intention in Bangladesh. Additionally, several interpersonal attraction attributes of influencers were selected based on McCroskey and McCain's (1974) recommendations, alongside attitude homophily. Using the purposive sampling method, data were collected from 244 samples of Bangladesh who watched product related contents of various social media influencers. For data collection, a structured questionnaire was developed where the five-point Likert scale was used. Using SmartPLS 4, data were analyzed through applying PLS-SEM. Results discovered that task attractiveness and attitude homophily are two important influencer attributes that generate parasocial interaction in social media. Besides, these two attributes further affect consumers’ purchase intention through the mediating effect of parasocial interaction. The study recommends that marketers prioritize task attractiveness and attitude homophily of influencers. Additionally, it highlights the role of parasocial interaction with social media influencers, which affects consumers' purchase intentions both directly and indirectly.