This study aims to investigate the influence of Organizational Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA) capabilities on Green Human Resource Management (GHRM) practices, Green Supply Chain Management (GSCM) practices, and also its direct impact on Sustainable Performance (SP) outcomes within the manufacturing landscape of Bangladesh. A quantitative approach was employed, gathering data from 395 employees in the Bangladeshi manufacturing sector through a survey questionnaire using a seven-point Likert scale. Structural equation modeling (SEM) was utilized to analyze the data, focusing on testing hypotheses related to the relationships between organizational STARA capabilities, GHRM, GSCM, and SP. The study found positive relationships between organizational STARA (OSC) capabilities and GHRM, GSCM, and SP. All hypotheses were accepted, GHRM ← STARA (β = 0.210), GSCM ← STARA (β = 0.247), and SP ← STARA (β = 0.135). Additionally, it revealed that GHRM and GSCM mediate the relationship between organizational STARA capabilities and SP. This research contributes to filling the existing gap in the literature by providing empirical evidence on the integration of STARA capabilities with GHRM and GSCM practices, specifically within the context of the Bangladeshi manufacturing sector. It also highlights the mediating role of GHRM and GSCM in enhancing sustainable performance through STARA capabilities. The findings of this study offer valuable insights for organizations operating in the manufacturing sector, suggesting strategies for leveraging STARA capabilities to enhance sustainability, efficiency, and competitiveness. Policymakers and stakeholders can use these insights to formulate policies and initiatives to promote the adoption of sustainable practices in manufacturing.

The intensity of integrating green intellectual capital into business strategies and policies to address sustainability concerns rises sharply. However, limited research exists on how information technology capabilities can improve the impact of green intellectual capital on sustainability in service sectors of developing countries like Bangladesh. This research addresses this research gap by exploring how human, relational, and structural dimensions of green intellectual capital contribute to gaining business sustainability in the service sector. Furthermore, it also observes how information technology capabilities can further strengthen these effects. The study employs a quantitative approach where a survey was conducted with 465 personnel from the service sector in Bangladesh using online platforms. Structural Equation Modeling was employed with AMOS software to analyze the data. The results reveal that green human capital, rational capital, and structural capital significantly enhance business sustainability. And, the results also evident that information technology capabilities were found positive to foster green intellectual capital on sustainability, indicating the value of technological integration in sustainability practices. The study leaves a message to policymakers, managers, and researchers that, strategic investing in green intellectual resources and technological capabilities is critical to promoting sustainable business practices, especially in the service sector.

It is now more important to comprehend customer attitude as digital transformation changes financial services around the world, particularly in hybrid banking environments. This research identifies the key factors reshaping consumers’ attitudes and consumer behavioural intention within the Bangladeshi banking sector. The investigation also employs consumers’ attitudes as mediators to examine the indirect impact of independent variables on consumers’ behavioural intentions. Furthermore, the research also seeks the moderating role of social influence (SI) on the relationship between consumers’ attitudes and consumer behavioural intentions. Partial least squares structural equation modelling (PLS-SEM) was applied to empirically analyse 398 fintech service users’ responses. The research found that perceived usefulness (PU), perceived ease of use (PEU), perceived financial risk (PFR), and perceived security risk (PSR) have a direct, significant impact on consumers’ attitudes. Consumers’ attitudes are also positively correlated with consumer behavioural intention. Consumers’ attitudes reveal a significant mediating relationship between PU, PEU, and consumer behavioural intention, but no mediation role between PFR, PSR, and consumer behavioural intention. Additionally, SI positively moderated the relationship between consumers’ attitudes and consumers’ behavioural intentions in the banking industry. This research provides insights for policymakers and stakeholders to develop new policies, mitigate risk, and enhance customer satisfaction to make them loyal to financial services. The study also sheds light on the customers’ attitudes so that managers of the banks pay attention to the concentration of consumer needs and provide feedback to make loyal customers.

Purpose: The primary purpose of this study is to examine the relationships among worker performance, work motivation, and health in Bangladesh’s industrial sector. The study investigated how health variables affect the dynamic relationship between work motivation and employee performance to better understand employee well-being in the industrial workplace. Design/methodology/approach: The empirical study surveyed 380 Bangladeshi industry workers using convenience sampling from a population of approximately 4 million workers across selected firms in major industrial zones. Data collection occurred from October 2023 to February 2024 in this developing country, and the analysis was conducted using structural equation modelling (SEM). Findings: The study found substantial links between health, work motivation, and employee performance. Structural equation modelling revealed this triadic relationship’s pathways and interdependencies. Bangladesh’s industrial sector showed that comprehensive health initiatives improve job happiness, engagement, and performance. Originality/value: This study examines employee performance, motivation, and health in Bangladesh’s industrial sector, not by proposing entirely new relationships, but by incorporating employee health as a JD-R-based boundary condition that influences how motivation translates into engagement, satisfaction, and performance outcomes. Furthermore, it applies current motivation-performance research to an understudied industrial environment, providing a theory-refining, context-specific contribution rather than a totally unique model for scholars and professionals. Implications: This study stresses the need for managers to incorporate employee health into their motivational efforts. Consistent with JD-R resource interaction logic, the data indicate that motivational programs are most effective when supported by employee health resources rather than executed alone. Bangladeshi industrial enterprises can use these insights to improve motivation, health, and performance. The study therefore advises firms to regard employee health as an enabling state that increases the effectiveness of existing HR practices, thereby assisting HR professionals and leaders in developing more realistic and sustainable workforce plans.