Sustainability delivers the future aspirations of the textile and apparel industry, and the aim of transforming pollution into a clean industry. This study investigates the impact of Big Data Analytics and Artificial Intelligence (BDA-AI) on Sustainable Performance (SP) grounded in Dynamic Capability Theory. It further explores the mediating role of Supply Chain Innovation Capabilities (SCIC) and the moderating role of Industry Dynamism (ID) within the context of the textile organization. The work utilized PLS-SEM to analyze the data and assessed the measurement model and structural model for hypothesis testing. For data collection, a standardized survey questionnaire was circulated to important stakeholders, yielding 346 answers from industry leaders and followers. The findings revealed that the integration of artificial intelligence and big data analytics is enhancing the capacity of supply chains to innovate, leading to beneficial impacts on sustainable performance. Industry dynamism inversely affects the quality of the supply chain because an unsettled industry environment creates more chaos and less productive investment. Moreover, the supply chain's innovation capabilities mediate the correlation between BDA-AI and sustainable performance. The outcomes connect the dots between the adoption of BDA-AI in supply chain operations and the achievement of sustainable performance. It offers a detailed comprehension of how the capacities for innovation and the dynamic nature of the industry interact in this particular setting. To the author’s knowledge, there is no existing literature based on the combined effect of BDA-AI on sustainable performance by considering the value chain and industry dynamism. Thus, this study provides essential information for supply chain managers and policymakers who want to utilize big data analytics and artificial intelligence to achieve sustainability objectives.

This paper highlights the arguments and counterarguments in the scientific discussion on adopting metaverse technology in the evolving landscape of digital marketing. The main purpose of the research is to identify the factors that influence the intention of digital marketing executives in Bangladesh to adopt the metaverse in their marketing strategies. Systematization of the literature and approaches to solving this problem indicates that, while various marketing paradigms have evolved from traditional to AI-based marketing, the metaverse represents a novel and immersive frontier that blends digital and physical experiences. The study used a descriptive research design and a structured questionnaire with a 7-point Likert scale. A snowball sampling technique was used to identify 400 digital marketing executives across Bangladesh, of whom 211 provided valid responses, which were analysed using structural equation modelling in SmartPLS 4.0. The object of research is digital marketing executives in Bangladesh, because they represent the forefront of adopting and implementing new marketing technologies within organizations. Results showed that awareness of the metaverse significantly enhances perceived ease of use and perceived usefulness, which, in turn, positively influence attitude towards the metaverse. Furthermore, industry influence emerged as the most impactful factor shaping attitudes, while organizational culture did not demonstrate statistical significance. Additionally, perceived trust and security were found to negatively moderate the relationship between attitude and behavioural intention to use the metaverse. The research empirically confirms and theoretically proves that both individual and external organizational factors significantly drive metaverse adoption in marketing. The results of the research can be useful for marketing practitioners seeking to integrate immersive technologies into their strategies, as well as for academicians aiming to develop further the theoretical foundations of digital marketing transformation in developing countries.

Research background and purpose: Drawing on the Ability–Motivation–Opportunity (AMO) framework, this study examines how Green Human Resource Management (GHRM) practices influence job pursuit intention (JPI) in the textile industry of Bangladesh. Specifically, the study investigates the direct effects of GHRM practices on JPI, the mediating role of individual green values (IGV), and the moderating role of environmental knowledge (EK). Design/methodology/approach: Survey data were collected from 306 employees working in textile manufacturing organizations in Bangladesh and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings: The results indicate that GHRM practices positively influence job pursuit intention both directly and indirectly through individual green values. However, environmental knowledge does not significantly moderate the relationship between GHRM and individual green values. By extending the AMO framework to a pre-employment context, this study demonstrates that value-based motivational mechanisms play a more decisive role than cognitive environmental knowledge in shaping job pursuit intentions. Value added and limitations: The findings contribute to the GHRM and employer attractiveness literature and offer practical guidance for organizations seeking to enhance their attractiveness through environmental responsibility. In addition to that, the limitations of the study and recommendations for further research are also addressed.

Research background and purpose: The main objective of this research is to investigate the effects of participative leadership (PL) on followers creativity including follower radical creativity (FRC) and follower incremental creativity (FIC) of Bangladeshi textile employees. In addition, this and alsoresearch also examine whether the willingness to risk-taking (WRC) (a behavioral mechanism) mediates the aforementioned relationship in Asia’s manufacturing contexts.Design/methodology/approach: In this quantitative exploratory study, 349 respondents from Bangladesh's technology and labor-intensive textile industries participated in a survey. The research used the random as well as purposive sampling in accordance prior research. The research employs a deductive methodology in order to examine the hypotheses, utilizing SPSS 26 and SMART PLS 3.8.Findings: The findings revealed that participatory leadership was positively related to willingness to risk-taking as well as follower radical, and incremental creativity. Furthermore, willingness to risk-taking is also positively correlated to follower radical and incremental creativity. In addition, the findings also indicated that risk-taking had a positive and substantial role in mediating the aforementioned association between participative leadership and follower radical and incremental creativity.Value added and limitations: In contrast to the previous conventional social exchange theory (SET), this study expands the focus of SET by examining the relationship between participative leadership and follower radical and incremental creativity in relation to willingness to take risks. This research adds to the existing body of literature on the connection between leaders and followers. This research also contributes to the expanding literature on how workers in textile firms may promote both radical and incremental creativity and develop the creative innovation inside their company. It also explores strategies for inspiring followers to embrace risk-taking and engaging in both radical and incremental creativity activities that can improve organizational creative performances. The study's shortcomings and potential avenues for more investigation are explored.