Mohammad Shamsuddoha

Scopus Publications

Critical habitats for sharks and rays in Asia remain largely unprotected
Adriana Gonzalez-Pestana, Peter M. Kyne, Emiliano García-Rodríguez, Ryan Charles, Vanessa Bettcher Brito, et al.
Biodiversity and Conservation, 2026
The Asia region harbors exceptional chondrichthyan (shark, ray, and chimaera) diversity but faces intense fishing pressure. The Important Shark and Ray Areas (ISRA) process provides a collaborative, evidence-based framework to identify critical habitats and inform spatial management. We assessed ISRAs across the Bay of Bengal, Southeast Asia, and the Northwest Pacific to characterize their extent, ecological significance, and conservation relevance. We delineated 122 ISRAs spanning ~ 1 million km 2 (~ 3% of the region) across 12 jurisdictions and international waters, encompassing habitats for 121 species (~ 30% of Asia’s chondrichthyans), 76% of which are threatened. Depleted taxa (e.g., giant guitarfishes, Glaucostegidae) were represented, but charismatic megafauna (e.g., Whale Shark Rhincodon typus ) were overrepresented. In contrast, deepwater and freshwater species were underrepresented. Reproductive Areas were the most common ISRA sub-criterion applied (52% of ISRAs), largely in nearshore zones, while areas for range-restricted species were less frequently (18%) identified. Twelve ISRAs overlapped with biodiversity hotspots, including seven in areas of high overall chondrichthyan species richness and five in areas of high range-restricted species richness. Citizen science was the predominant research method used to delineate ISRAs, while fisheries data were underused despite the region’s major fisheries footprint. Geographic coverage was uneven: Indonesia held the most ISRAs (n = 40; 71.7% of ISRA coverage) while eight jurisdictions (e.g., Viet Nam, China, Republic of Korea) lacked ISRAs due to data gaps. Protection shortfalls are stark: MPAs cover < 5% of national waters in 16 jurisdictions (eight with < 1%); 5.4% of ISRA area lies within MPAs; and only 2.8% of ISRA spatial extent overlaps with no-take zones. These results provide a regional foundation to guide spatial planning, prioritize management, close data gaps, and support recovery of Asia’s diverse and imperiled chondrichthyan assemblages.
Autonomous Supply Chains: Integrating Artificial Intelligence, Digital Twins, and Predictive Analytics for Intelligent Decision Systems
Mohammad Shamsuddoha, Honey Zimmerman, Tasnuba Nasir, Md Najmus Sakib
Information Switzerland, 2026
Autonomous supply chains (ASC) are the next generation of digitally empowered logistics and operations systems that can make adaptive, data-driven, and intelligent decisions. Innovations in artificial intelligence (AI), digital twins (DT), and predictive analytics (PA) are transforming traditional supply chains into integrated and interactive networks to detect disruptions, simulate the future, and automatically modify operational decisions. This paper reviews the ASC mechanism and summarizes the increasing literature on the technologies and analytical capabilities available to support intelligent supply chain decision systems. A structured literature review was conducted using Scopus, Web of Science, and Google Scholar, resulting in 52 relevant studies after screening and eligibility assessment. The paper discusses the recent advances in AI-based forecasting, simulation environments using digital twins, data integration using the Internet of Things (IoT), and predictive analytics. These technologies can help an organization gain real-time visibility of the supply chain networks. They improve the precision of demand forecasting, optimize inventory and production planning, and dynamically coordinate logistics operations. Digital twins allow the development of virtual models of supply chain ecosystems, which could be used to test scenarios, analyze risks, and plan strategies. These capabilities combined can be used to create predictive and self-adaptive supply networks capable of being responsive to uncertainty and market volatility. Besides examining the technological foundations, the paper also tracks key challenges related to the move towards autonomous supply chains, such as data governance, system interoperability, cybersecurity risks, algorithm transparency, and the necessity of successful human-AI collaboration in decision-making. The synthesis leads to a multi-layered framework that integrates data acquisition, analytics, simulation, and execution for autonomous decision-making in supply chains. Future research directions in relation to resilient supply networks, intelligent automation, and adaptive supply chain ecosystems are also provided in the study. Through integrating existing information on the new forms of intelligent technology and how it can be incorporated into the supply chain systems, this review contributes to the literature on next-generation supply chains. It will also offer information to both researchers and practitioners aiming at designing autonomous as well as data-driven supply networks.
Digitalization in Sustainable Transportation Operations: A Systematic Review of AI, IoT, and Blockchain Applications for Future Mobility
Mohammad Abul Kashem, Mohammad Shamsuddoha, Tasnuba Nasir
Future Transportation, 2025
Despite increasing interest in AI, IoT, and blockchain for sustainable transportation, existing reviews remain fragmented—focusing on single technologies, descriptive benefits, or narrow applications—without providing an integrated synthesis across domains. This study conducts a systematic literature review (SLR) following the PRISMA 2020 guidelines and a bibliometric analysis of 102 peer-reviewed papers to provide the concurrent integrative synthesis of AI, IoT, and blockchain in enabling sustainable transport. Data were drawn from Scopus, Web of Science, PubMed, Semantic Scholar, and Google Scholar, and analyzed using VOSviewer to identify research clusters, emerging themes, and knowledge gaps. The results reveal three thematic clusters: smart traffic systems for congestion management, sustainable logistics and supply chains, and data-driven urban governance. Across these clusters, AI is more mature in predictive modeling, IoT remains fragmented in interoperability, and blockchain is still at a pilot stage with governance and scalability issues. The analysis highlights synergies (e.g., AI–IoT integration for real-time optimization) and persistent challenges (e.g., standardization, data security). This review contributes a strategic research roadmap linking bibliometric hotspots with policy and practice implications. By explicitly identifying gaps in governance, interoperability, and cross-domain integration, the study offers actionable directions for both researchers and policymakers to accelerate digital transitions in transport.
System Dynamics Modeling of the Jute Stick Charcoal (JSC) Supply Chain: Logistics and Policy Strategies for Sustainable Rural Industrialization in Bangladesh
Mohammad Shamsuddoha, Ahamed Ismail Hossain, Irma Dewan, Kazi Farzana Nur
Logistics, 2025
Background: Jute, recognized as the ‘golden fiber’ of Bangladesh, produces a substantial amount of stick left over (waste), a byproduct of the fiber. Usually, unused jute sticks (JS) are thrown away or burned, since they are treated as landfill or unusable waste. Noteworthy research gaps exist in the farming process, infrastructure, [supply chains], unfavorable policies, government interference, and insufficient farmers’ knowledge of the export market. This research examines the potential of jute stick charcoal (JSC) as a sustainable and value-added product within the circular economy framework. Methods: This study employs a system dynamics (SD) modeling approach to examine how various factors, including agricultural output, supply chain process efficiency, trade flows, and relevant variables, influence JSC supply chain performance. Considering technologies, logistics, and policy variables, this study constructed a simulation model with three scenarios: current, worst-case, and improved, using Vensim DSS to identify system behavior under changing conditions. Results: The simulation indicates that optimizing idle jute resources, enhancing supply chain processes, and expanding markets can increase economic returns, reduce waste, and create more rural jobs, particularly for women. Conclusions: Enhanced coordination, technologies, and logistics can reduce carbon emissions, benefit farmers, support rural industries, and contribute to SDGs 8, 12, and 13.
From Mine to Market: Streamlining Sustainable Gold Production with Cutting-Edge Technologies for Enhanced Productivity and Efficiency in Central Asia
Mohammad Shamsuddoha, Adil Kaibaliev, Tasnuba Nasir
Logistics, 2025
Background: Gold mining is a critical part of the industry of Central Asia, contributing significantly to regional economic growth. However, gold production management faces numerous challenges, including adopting innovative technologies such as AI, using improved logistical equipment, resolving supply chain inefficiencies and disruptions, and incorporating modernized waste management and advancements in gold bar processing technologies. This study explores how advanced technologies and improved logistical processes can enhance efficiency and sustainability. Method: This paper examines gold production processes in Kyrgyzstan, a gold-producing country in Central Asia. The case study approach combines qualitative interviews with industry stakeholders and a system dynamics (SD) simulation model to compare current operations with a technology-based scenario. Results: The simulation model shows improved outcomes when innovative technologies are applied to ore processing, waste refinement, and gold bar production. The results also indicate an approximate twenty-five percent reduction in transport time, a thirty percent decrease in equipment downtime, a thirty percent reduction in emissions, and a fifteen percent increase in gold extraction when using artificial intelligence, smart logistics, and regional smelting. Conclusions: The study concludes with recommendations to modernize equipment, localize processing, and invest in digital logistics to support sustainable mining and improve operational performance in Kyrgyzstan’s gold sector.
Quantum Computing Applications in Supply Chain Information and Optimization: Future Scenarios and Opportunities
Mohammad Shamsuddoha, Mohammad Abul Kashem, Tasnuba Nasir, Ahamed Ismail Hossain, Md Foysal Ahmed
Information Switzerland, 2025
Quantum computing is a groundbreaking innovation that can resolve complex supply chain problems that traditional computing techniques are unable to manage. Given a focus on information flow, optimization, and potential future applications, this study explores how supply chain management could utilize quantum computing. The study used a mixed-methods approach, including scenario modeling, case studies of prominent companies, and literature reviews. The study intends to evaluate the function of quantum computing in dynamic route optimization, investigate how it can enhance supply chain resilience, and examine how it could optimize the flow of information for decision-making processes. Findings demonstrate that quantum computing offers unprecedented computational power for scenario analysis and decision-making and operates exceptionally well in activities like dynamic route optimization, parcel packaging, and reorganization during disruptions. For instance, companies like DHL and FedEx utilize quantum systems to improve efficiency substantially. However, constraints like high implementation costs, cybersecurity weaknesses, and technological infancy prevent widespread acceptance. Further research should investigate hybrid solutions that integrate quantum and classical computing while addressing these obstacles. This paper concludes that although quantum computing has the potential to transform supply chains by improving information flow, resilience, and efficiency, its wider adoption will require overcoming current financial and technological challenges.
The Road Ahead for Hybrid or Electric Vehicles in Developing Countries: Market Growth, Infrastructure, and Policy Needs
Mohamad Shamsuddoha, Tasnuba Nasir
World Electric Vehicle Journal, 2025
Developing nations like Bangladesh have yet to adopt hybrid (HEVs) or electric vehicles (EVs) for goods carrying, whereas environmental pollution and fuel costs are hitting hard. The electrically powered cars and trucks market promises an excellent opportunity for environmentally friendly transportation. However, these countries’ inadequate infrastructure, substantial initial expenses, and insufficient policies impeding widespread acceptance hold market growth back. This study examines the current status of the electric car market in low- and middle-income developing nations like Bangladesh, focusing on the infrastructure and regulatory framework-related barriers and the aspects of growth promotion. To promote an expanding hybrid and EV ecosystem, this article outlines recent studies and identifies critical regions where support for policy and infrastructural developments is needed. It discusses how developing nations may adapt successful international practices to suit their specific needs. At the same time, the research adopted system dynamics and case study methods to assess the transportation fleet (142 vehicles) of a livestock farm and find the feasibility of adopting HEVs and EVs. Several instances are improving infrastructures for recharging, providing incentives for lowering the adoption process cost, and creating appropriate regulatory structures that promote corporate and consumer involvement. Findings highlight how crucial it is for governments, businesses, customers, and international bodies to collaborate to build an affordable and sustainable EV network. The investigation concludes with recommendations for more research and appropriate regulations that may accelerate the adoption of EVs, reduce their adverse impacts on the environment, and promote economic growth.
Humanoid Robots like Tesla Optimus and the Future of Supply Chains: Enhancing Efficiency, Sustainability, and Workforce Dynamics
Mohammad Shamsuddoha, Tasnuba Nasir, Mohammad Saifuddoha Fawaaz
Automation, 2025
Integrating futuristic humanoids like Tesla Optimus into supply chain operations represents groundbreaking automation and workforce efficiency innovation. This study investigates the potential of humanoids to address critical supply chain challenges, such as labor shortages, rising operational costs, and the demand for sustainable practices. Considering its ability to handle worker-intensive, hazardous, and repetitive duties, humanoids could offer an alternative to business challenges like inefficient operations, health and safety concerns, and worker shortages. Intelligent robotics plays an essential role in improving productivity, supporting sustainability, and transforming workforce dynamics as supply chains become increasingly complex. The study examines the effects of humanoids on workforce reallocation, manufacturing sustainability, and supply chain productivity. The current research reviews the usefulness, advantages, and downsides of integrating humanoids into supply chains. This study uses a mixed-method approach, incorporating case studies, qualitative productivity data, and expert interviews. According to Tesla, Optimus could significantly enhance supply chain efficiency by reducing error rates, streamlining workflows, and enabling 24/7 operations. It could also help meet sustainability goals by lowering waste and energy consumption. The study limits Tesla’s experience, modern technologies, and inadequate information from various industrial and geographical contexts. However, this study will be eye-opening for industries requiring such humanoid robots for their operations. Additional studies need to deal with factors like high implementation expenses, potential job displacement, and flexibility in changing supply chain demands. While focused on Tesla, this study provides insights that can inform broader applications of humanoid robotics in supply chains across industries. This study presents an in-depth review of humanoid involvement in developing future supply chain models. It also offers helpful knowledge that will assist industries in considering adopting comparable robotic integration as a strategic decision.
A Review of Transportation 5.0: Advancing Sustainable Mobility Through Intelligent Technology and Renewable Energy
Mohammad Shamsuddoha, Mohammad Abul Kashem, Tasnuba Nasir
Future Transportation, 2025
Transportation 5.0 is an advanced and sophisticated system combining technologies with a focus on human-centered design and inclusivity. Its various components integrate intelligent infrastructure, autonomous vehicles, shared mobility services, green energy solutions, and data-driven systems to create an efficient and sustainable transportation network to tackle modern urban challenges. However, this evolution of transportation is also intended to improve accessibility by creating environmentally benign substitutes for traditional fuel-based mobility solutions, even when addressing traffic management and control issues. Consequently, to promote synergy for sustainability, the diversified nature of the Transportation 5.0 components ought to be efficiently and effectively managed. Thus, this study aims to reveal the involvement of Transportation 5.0 core component prediction in the sustainable transportation system through a systematic literature review. This study also contemplates the causal model under system dynamics modeling in order to address sustainable solutions and the movement toward sustainability in the context of Transportation 5.0. From this review, in addition to the developed causal model, it is identified that every core component management method in the sustainable Transportation 5.0 system reduces environmental impact while increasing passenger convenience and the overall efficiency and accessibility of the transport network, with greater improvements for developing nations. As the variety of transportation options, including electric vehicles, is successfully integrated, this evolution will eventually enable shared mobility, green infrastructure, and multimodal transit options.
System dynamics modeling for assessing operational performance of an airport terminal
Marzan Hasan Nayeem, Shohreh Moradi, Niamat Ullah Ibne Hossain, Mohammad Shamsuddoha, Md. Saiful Islam
Case Studies on Transport Policy, 2025
Smart Practices in Modern Dairy Farming in Bangladesh: Integrating Technological Transformations for Sustainable Responsibility
Mohammad Shamsuddoha, Tasnuba Nasir
Administrative Sciences, 2025
System Dynamics for Sustainable Agriculture and Resilient Supply Chains: SYSTEMS THINKING AND SUSTAINABLE DEVELOPMENT SERIES
Hassan Qudrat-Ullah, Mohammad Shamsuddoha
System Dynamics for Sustainable Agriculture and Resilient Supply Chains Systems Thinking and Sustainable Development Series, 2025
AI contribution for developing green visibility and integration toward sustainability performance in supply chain
Muhammad Khalilur Rahman, Mohammad Shamsuddoha
Journal of Enterprise Information Management, 2025
Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow
Mohammad Shamsuddoha, Eijaz Ahmed Khan, Md Maruf Hossan Chowdhury, Tasnuba Nasir
Information Switzerland, 2025
From industry 4.0 to industry 5.0: Transitioning to circular business paradigms-a review
Mohammad Shamsuddoha, Mohammad Abul Kashem, Tasnuba Nasir, Niamat Ullah Ibne Hossain
Handbook of Digital Innovation Transformation and Sustainable Development in A Post Pandemic Era, 2024
Supply chain risk management, optimization, and performance analytics through blockchain integration: A bibliometric analysis
Mohammad Abul Kashem, Mohammad Shamsuddoha, Tasnuba Nasir, Niamat Ullah Ibne Hossain
Handbook of Digital Innovation Transformation and Sustainable Development in A Post Pandemic Era, 2024
Zero Plastic Drive: A Comprehensive Review on Unveiling Innovative Sustainable Solutions for a Circular Plastics Economy
Mohammad Shamsuddoha, Mohammad Abul Kashem
Sustainability Switzerland, 2024
Utilizing Dairy Waste Processing for Organic Agricultural Production: A Sustainable Approach to Producing Organic Goods
Mohammad Shamsuddoha, Tasnuba Nasir
Processes, 2024
Sustainable Transportation Solutions for Intelligent Mobility: A Focus on Renewable Energy and Technological Advancements for Electric Vehicles (EVs) and Flying Cars
Mohammad Abul Kashem, Mohammad Shamsuddoha, Tasnuba Nasir
Future Transportation, 2024
Sustainable recycling management: configuration of risk factors and resilience strategies
Eijaz Ahmed Khan, Md. Maruf Hossan Chowdhury, H.M. Kamrul Hassan, A.K.M. Shakil Mahmud, Mohammad Shamsuddoha
Journal of Business and Industrial Marketing, 2024
Functional Model of Supply Chain Waste Reduction and Control Strategies for Retailers—The USA Retail Industry
Victory Ikpe, Mohammad Shamsuddoha
Logistics, 2024
Eco-efficient Dairy Waste Treatment: Validating a Sustainable System Dynamics Framework
Mohammad Shamsuddoha, Saroj Koul, Ivan W. Taylor
Operations Research Forum, 2024
Impacts of climate change-induced natural hazards on women and their human rights implications: A study in the southwest coast of Bangladesh
Md Shamsuddoha, Md. Akib Jabed, Md Shahnul Islam, Naznin Sultana, Al Imran, et al.
Journal of Migration and Health, 2024
Is the demand for fish swim bladders driving the extinction of globally endangered marine wildlife?
Brian D. Smith, Elisabeth Fahrni Mansur, Mohammad Shamsuddoha, G. M. Masum Billah
Aquatic Conservation Marine and Freshwater Ecosystems, 2023
Modeling of mangrove forests and ecotourism of the Sundarbans in Bangladesh
B. K. Bala, Abdulla Ibragimov, Mohammad Shamsuddoha, Rustam Abdursaupov
Journal of Coastal Conservation, 2023
Modeling and assessing seismic resilience leveraging systems dynamic approach: A case study of society 5.0
Shohreh Moradi, Md Muzahid Khan, Niamat Ullah Ibne Hossain, Mohammad Shamsuddoha, Alex Gorod
International Journal of Critical Infrastructure Protection, 2023
Sustainability process innovations resulting in new value-added byproducts: principal lessons from second-order system-dynamics engineering (SOSDE)
Mohammad Shamsuddoha, Arch G. Woodside
Journal of Business and Industrial Marketing, 2023
Assessing Sustainability Governance and Its Dimensions
Mohammad Sirajul Islam, Mohammad Shamsuddoha
Fiib Business Review, 2023
A Sustainable Supply Chain Framework for Dairy Farming Operations: A System Dynamics Approach
Mohammad Shamsuddoha, Tasnuba Nasir, Niamat Ullah Ibne Hossain
Sustainability Switzerland, 2023
BUREAUCRATIC BEHAVIOUR, AND ITS INFLUENCE TOWARDS COMPETITIVENESS – ANALYSING THE SUPPLY CHAIN OF BANGLADESHI CLOTHING INDUSTRY
Ahasanul Haque, Md. Nuruzzaman, Mohammad Shamsuddoha
International Journal of Business and Society, 2023
The role of artificial intelligence and blockchain technologies in sustainable tourism in the Middle East
Mohammad Abul Kashem, Mohammad Shamsuddoha, Tasnuba Nasir, Asma Akter Chowdhury
Worldwide Hospitality and Tourism Themes, 2023
Editorial: COVID-19 and entrepreneurial mindset
Eijaz Ahmed Khan, Mohammad Shamsuddoha, Shahriar Sajib, Md. Nuruzzaman, A. K. M. Ahasanul Haque
Frontiers in Psychology, 2023
Principal Lessons Learned from COVID-19: Prescriptive and Long-Lasting Strategies for Sustainable Supply Chain Improvement
Mohammad Shamsuddoha, Tasnuba Nasir
Understanding Complex Systems, 2023
Smart Manufacturing: A Review Toward the Improvement of Supply Chain Efficiency, Productivity, and Sustainability
Mohammad Abul Kashem, Mohammad Shamsuddoha, Tasnuba Nasir
Understanding Complex Systems, 2023
Systemic Review of AI Reshaped Blockchain Applications
Mohammad Shamsuddoha, Mohammad A. Kashem, Saroj Koul
Communications in Computer and Information Science, 2023
Smart Transportation Logistics: Achieving Supply Chain Efficiency with Green Initiatives
Mohammad Shamsuddoha, Mohammad Abul Kashem, Tasnuba Nasir
Greening of Industry Networks Studies, 2023
Integrating Circular Economy and Reverse Logistics for Achieving Sustainable Dairy Operations
Mohammad Shamsuddoha, Tasnuba Nasir, Niamat Ullah Ibne Hossain
Greening of Industry Networks Studies, 2023
The Sustainable Management of Plastic Contents Recycling in Bangladesh: A System Dynamics Approach
Mohammad Shamsuddoha, Mohammad Abul Kashem, Hassan Qudrat-Ullah
Understanding Complex Systems, 2023
Revolutionizing Supply Chain Management: A Bibliometric Analysis of Industry 4.0 and 5.0
Mohammad Shamsuddoha, Mohammad Abul Kashem, Tasnuba Nasir
Understanding Complex Systems, 2023
Integrated Effects of Marketing Stimuli on Customer Loyalty in Palestine Grocery Supply-Chain: Does Satisfaction Perform Mediating Role?
Ahasanul Haque, Arun Kumar Tarofder, Mohammad Shamsuddoha, Md. Nuruzzaman, Mohammad Moshiur Rahman, et al.
Springer Proceedings in Business and Economics, 2023
A REVOLUTIONARY PARADIGM SHIFT IN SUPPLY CHAIN MANAGEMENT: THE BLOCKCHAIN MECHANISM
Mohammad Shamsuddoha, Mohammad Abul Kashem
Review of Management Literature, 2022
Achieving radical process innovations by applying technology-mindset transformations via second-order system-dynamics engineering
Mohammad Shamsuddoha, Arch G. Woodside
Journal of Business Research, 2022
Entrepreneurship Education and Social Entrepreneurial Intentions: The Mediating Effects of Entrepreneurial Social Network
H. M. Kamrul Hassan, Barbara Igel, Mohammad Shamsuddoha
Frontiers in Psychology, 2022
Site use by non-breeding Black-tailed Godwits at Nijhum Dweep National Park, Bangladesh
Delip K. Das, Naim Khandakar, Irin Sultana, Sabiha Islam, Md. Soab Ali, et al.
Wader Study, 2022
Environmental sustainability through designing reverse logistical loops: case research of poultry supply chains using system dynamics
Mohammad Shamsuddoha, Mohammed A. Quaddus, Arch G. Woodside
Journal of Business and Industrial Marketing, 2022
Sustainable Outcomes Through the Structured Forward Supply Chain: A System Dynamic Approach
Mohammad Shamsuddoha
Understanding Complex Systems, 2022
Population Size, Behavior and Threats to Indian Skimmers (Rhynchops albicollis) at Their Largest Known Wintering Site
Delip K. Das, Naim Khandakar, Irin Sultana, Mohammad Shamsuddoha, Ashik Jahan Galib, et al.
Waterbirds, 2021
Coastal and marine conservation strategy for Bangladesh in the context of achieving blue growth and sustainable development goals (SDGs)
Mohammad Mahmudul Islam, Md Shamsuddoha
Environmental Science and Policy, 2018
Using non-invasively collected genetic data to estimate density and population size of tigers in the Bangladesh Sundarbans
M. Abdul Aziz, Simon Tollington, Adam Barlow, Christina Greenwood, John M. Goodrich, et al.
Global Ecology and Conservation, 2017
Socioeconomic consequences of climate induced human displacement and migration in Bangladesh
M Rezaul Islam, M Shamsuddoha
International Sociology, 2017
Investigating patterns of tiger and prey poaching in the Bangladesh Sundarbans: Implications for improved management
M. Abdul Aziz, Simon Tollington, Adam Barlow, John Goodrich, Mohammad Shamsuddoha, et al.
Global Ecology and Conservation, 2017
Sustainable poultry production process to mitigate socio-economic challenge
Mohammad Shamsuddoha, Mohammed Quaddus, Desmond Klass
Humanomics, 2015
Integrated supply chain model for sustainable manufacturing: A system dynamics approach
Mohammad Shamsuddoha
Advances in Business Marketing and Purchasing, 2015
Land acquisition for climate-displaced communities in Bangladesh
Land Solutions for Climate Displacement, 2014
The viability of the Chittagong hill tracts as a destination for climate-displaced communities in Bangladesh
Land Solutions for Climate Displacement, 2014
A system dynamics approach for poultry operation to achieve additional benefits
Mohammad Shamsuddoha, Mohammed Quaddus, Desmond Klass
Proceedings of the 2013 Winter Simulation Conference Simulation Making Decisions in A Complex World Wsc 2013, 2013
Bangladesh’s experience with exchanges: Liability to potential
M. D. Shamsuddoha
Debt for Development Exchanges History and New Applications, 2011
The political economy of UNFCCC's bali climate conference: A roadmap to climate commercialization
M D Shamsuddoha, Rezaul Karim Chowdhury
Development, 2008

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