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    <title>DSpace Collection: Publications From FBA : Journal Article</title>
    <link>http://dspace.aiub.edu:8080/jspui/handle/123456789/2346</link>
    <description>Publications From FBA : Journal Article</description>
    <pubDate>Wed, 01 Apr 2026 02:08:52 GMT</pubDate>
    <dc:date>2026-04-01T02:08:52Z</dc:date>
    <item>
      <title>Exploring the barriers to decarbonizing the transportation system: A pathway to a cleaner future in emerging economies</title>
      <link>http://dspace.aiub.edu:8080/jspui/handle/123456789/2920</link>
      <description>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&#xD;
the emissions released by motor vehicles, shipping, and aviation. Carbon emissions increase significantly as&#xD;
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&#xD;
strategies and initiatives face numerous challenges in emerging economies, where transport infrastructure is still&#xD;
developing and heavily reliant on fossil fuels. This study, therefore, identifies and examines the barriers that&#xD;
emerging economies like Bangladesh encounter when implementing decarbonization strategies. First, based on&#xD;
literature research and expert validation, the study identified sixteen of the most relevant barriers. Then, an&#xD;
integrated approach combining the Bayes theorem and the Best-Worst Method (BWM) was utilized to evaluate&#xD;
and rank these barriers. The results obtained from this study indicate that among the sixteen barriers assessed,&#xD;
the top three are investment risks, high dependence on fossil fuels, and poor purchasing and expenditure power&#xD;
of residents (having a global weight of 0.0972, 0.0863, and 0.0847, respectively). These findings are expected to&#xD;
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&#xD;
transition towards a sustainable transportation system and a cleaner future.</description>
      <pubDate>Fri, 01 Aug 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.aiub.edu:8080/jspui/handle/123456789/2920</guid>
      <dc:date>2025-08-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Role of Habit in Household Waste Recycling Behavior: Evidence from an Emerging Country</title>
      <link>http://dspace.aiub.edu:8080/jspui/handle/123456789/2881</link>
      <description>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&#xD;
form an individual’s household recycling behavior. Habit, a noncognitive factor, is combined&#xD;
as an additional construct with the Theory of Planned Behavior (TPB). Data was collected&#xD;
from 467 eco-friendly consumers residing in economically emerging country- Bangladesh and&#xD;
analyzed using the partial least square-based structural equation modelling (PLS-SEM). Result&#xD;
showed significant direct impact of individual's habit and perceived behavioral control (PBC)&#xD;
on actual recycling behavior of household waste. When forming recycling intention,&#xD;
individual’s habit was found to be more dominant compared to the attitude, subjective norms&#xD;
and PBC. In addition, it was found that habit is significantly impacted by the PBC. However,&#xD;
the moderating role of habit towards the linkage of recycling intention to actual behavior was&#xD;
found insignificant. The paper provides significant contribution for the practitioners and policy&#xD;
makers to focus on forming individual habits to promote sustainable recycling behavior from&#xD;
an emerging country context.</description>
      <pubDate>Sat, 01 Jun 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.aiub.edu:8080/jspui/handle/123456789/2881</guid>
      <dc:date>2024-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies</title>
      <link>http://dspace.aiub.edu:8080/jspui/handle/123456789/2819</link>
      <description>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.</description>
      <pubDate>Tue, 01 Jul 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.aiub.edu:8080/jspui/handle/123456789/2819</guid>
      <dc:date>2025-07-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Exploring the barriers to decarbonizing the transportation system: A pathway to a cleaner future in emerging economies</title>
      <link>http://dspace.aiub.edu:8080/jspui/handle/123456789/2818</link>
      <description>Title: Exploring the barriers to decarbonizing the transportation system: A pathway to a cleaner future in emerging economies
Authors: Anam, Md. Zahidul
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.</description>
      <pubDate>Fri, 01 Aug 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.aiub.edu:8080/jspui/handle/123456789/2818</guid>
      <dc:date>2025-08-01T00:00:00Z</dc:date>
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