http://dspace.aiub.edu:8080/jspui/handle/123456789/3 Thu, 02 Apr 2026 01:59:50 GMT 2026-04-02T01:59:50Z http://dspace.aiub.edu:8080/jspui/retrieve/0587e928-1ec2-40d2-844e-63f7b30677d2/FBA-Logo-01.png http://dspace.aiub.edu:8080/jspui/handle/123456789/3 http://dspace.aiub.edu:8080/jspui/handle/123456789/2920 Title: Exploring the barriers to decarbonizing the transportation system: A pathway to a cleaner future in emerging economies Authors: Anam, Md Zahidul; Shakur, Md Shihab; Bari, A.B.M. Mainul; Debnath, Binoy; Bristy, Fahmida Tabassum Abstract: The transportation sector is a major contributor to global greenhouse gas (GHG) emissions, particularly due to the emissions released by motor vehicles, shipping, and aviation. Carbon emissions increase significantly as demand for transportation services rises, especially in emerging economies like Bangladesh. Substantial reduction of these emissions by this sector is essential for mitigating climate change. However, decarbonization strategies and initiatives face numerous challenges in emerging economies, where transport infrastructure is still developing and heavily reliant on fossil fuels. This study, therefore, identifies and examines the barriers that emerging economies like Bangladesh encounter when implementing decarbonization strategies. First, based on literature research and expert validation, the study identified sixteen of the most relevant barriers. Then, an integrated approach combining the Bayes theorem and the Best-Worst Method (BWM) was utilized to evaluate and rank these barriers. The results obtained from this study indicate that among the sixteen barriers assessed, the top three are investment risks, high dependence on fossil fuels, and poor purchasing and expenditure power of residents (having a global weight of 0.0972, 0.0863, and 0.0847, respectively). These findings are expected to assist policymakers in emerging economies in developing structured strategies and making more targeted investment decisions that promote decarbonization in the transportation sector. They will also facilitate a smoother transition towards a sustainable transportation system and a cleaner future. Fri, 01 Aug 2025 00:00:00 GMT http://dspace.aiub.edu:8080/jspui/handle/123456789/2920 2025-08-01T00:00:00Z http://dspace.aiub.edu:8080/jspui/handle/123456789/2881 Title: Role of Habit in Household Waste Recycling Behavior: Evidence from an Emerging Country Authors: Islam, Md Tamzidul; Islam, Md Hasibul; Kamal, Md Asif Abstract: This paper explores the inter-relationship between cognitive and non-cognitive factors that form an individual’s household recycling behavior. Habit, a noncognitive factor, is combined as an additional construct with the Theory of Planned Behavior (TPB). Data was collected from 467 eco-friendly consumers residing in economically emerging country- Bangladesh and analyzed using the partial least square-based structural equation modelling (PLS-SEM). Result showed significant direct impact of individual's habit and perceived behavioral control (PBC) on actual recycling behavior of household waste. When forming recycling intention, individual’s habit was found to be more dominant compared to the attitude, subjective norms and PBC. In addition, it was found that habit is significantly impacted by the PBC. However, the moderating role of habit towards the linkage of recycling intention to actual behavior was found insignificant. The paper provides significant contribution for the practitioners and policy makers to focus on forming individual habits to promote sustainable recycling behavior from an emerging country context. Sat, 01 Jun 2024 00:00:00 GMT http://dspace.aiub.edu:8080/jspui/handle/123456789/2881 2024-06-01T00:00:00Z http://dspace.aiub.edu:8080/jspui/handle/123456789/2820 Title: MODELING USERS’ CONTINUED ENGAGEMENT IN E- LEARNING IN THE POST-COVID ERA IN A DEVELOPING COUNTRY: GSCA-SEM APPROACH Authors: Amin, Md.khaled; Rattanawiboonsom, Vichayanan Abstract: The notion of e-learning is not new to Bangladeshi HEIs. However, the tidal wave of e-learning turned into a tsunami after the outbreak, thus heightening its acceptance in developing countries like Bangladesh. Literature suggests that e-learning has several benefits a user may reap, but it also has some hurdles that may prevent a user from using it. Literature also claims that a user may discontinue using e-learning after the user has accepted it. Therefore, the study aims to identify factors propelling users to use the system for a sustained time in the post-pandemic era in a developing country. The research model of the study was tested against data from users in a developing country. To collect data from 426 respondents, the study designed an instrument comprising items adopted from prior studies conducted on a similar theme. The respondents of the study included educators working for different HEIs in Bangladesh and students enrolled in these institutions. Most of the respondents were approached on social media platforms and through email, whereas a few were approached directly with paper-based questionnaires. A standard SEM package, namely GSCA, was employed to analyze the research model. The study found a direct and positive impact of network externality and interactivity & control on continuance intention. The variables: technology support, information quality, and system quality, were identified as the components of facilitating conditions. The study urges the key decision-makers of HEIs to communicate the latest advancements in e-learning and e-learning usage with the community to expedite e-learning usage within the institutions. Infrastructure development in all aspects, providing organizational support, arranging training on usage, taking initiatives to enrich knowledge, stakeholder support, and incorporating interactive teaching and learning content into traditional teaching and learning are among the few areas where HEIs should focus on expediting the continuance intention to use e-learning. The study can be an important blueprint for the leaders of HEIs willing to facilitate and expedite e-learning, for policymakers and stakeholders looking for policies to expedite the sustained integration of educational technology, ensuring competencies and readiness to face future uncertainties, and for the commercial vendors envisioning expanding their operations in Southeast Asia. The study contributes to the theory of technology acceptance in the post-pandemic era in a developing country. Thu, 03 Jul 2025 00:00:00 GMT http://dspace.aiub.edu:8080/jspui/handle/123456789/2820 2025-07-03T00:00:00Z http://dspace.aiub.edu:8080/jspui/handle/123456789/2819 Title: A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies Authors: Anam, Md. Zahidul; Islam, Md. Hasibul; Islam, Md. Tamzidul; Bari, A.B.M. Mainul; Raihan, Asif Abstract: The adoption of digital technologies in agriculture offers opportunities for efficiency and sustainability, particularly in emerging economies with resource and infrastructure constraints. However, challenges persist, exacerbated by crises such as COVID-19 and geopolitical instabilities, highlighting agricultural supply chains’ fragility. Industry 5.0-driven digital transformation (DT) can mitigate these challenges by enhancing food security, supply chain resilience, and environmental sustainability. This study identifies and analyzes key drivers of DT in agricultural production from a holistic perspective. Through a literature review and expert validation, 19 key drivers were identified in the context of Bangladesh. An integrated multi-criteria decision-making (MCDM) approach, combining the Fermatean fuzzy sets (FFS) with the decision-making trial and evaluation laboratory (DEMATEL) technique, was applied to examine the drivers and explore interrelations among them. The results indicate that the most influential drivers are ’commitment from regulatory bodies’, ’maximizing the use of dwindling resources’, ’fostering rural development’, and ’the need for safe food’, with prominence values of 4.175, 4.001, 3.999, and 3.888, respectively. Additionally, ’commitment from regulatory bodies’ emerges as the most impactful causal factor, having a causal weight of 1.848. These findings provide insights for policymakers and industry managers in emerging economies, supporting strategic decision-making to drive sustainable agricultural transformation and achieve the relevant sustainable development goals. Tue, 01 Jul 2025 00:00:00 GMT http://dspace.aiub.edu:8080/jspui/handle/123456789/2819 2025-07-01T00:00:00Z