Browsing by Author "Tushar, Hasanuzzaman"

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Differential Game Model and Coordination Model for Green Supply Chain Based on Green Technology Research and Development
(Heliyon, 2021) Mohsin, A.K.M.; Hossain, Syed Far Abid; Tushar, Hasanuzzaman; Iqbal, Mohammed Masum; Hossain, Alamgir
The purpose of this paper is to establish a green supply chain differential game model for green technology research and development based on a secondary green supply chain composed of a single manufacturer and a single retailer. It compares the differential game equilibrium solutions under centralized and decentralized decision-making. The green supply chain members are coordinated through the dynamic wholesale price mechanism, and numerical simulation is used as a methodology, to verify and explain the results. The study found that compared to decentralized decision-making, the level of green technology and the total profit of green channels are higher under centralized decision-making. When the coordination parameters are within a certain range, the dynamic wholesale price mechanism can coordinate the behavior of manufacturers and retailers. The result also discovers that under the dynamic wholesale price mechanism, with the increase of investment cost coefficient, or the increase of price sensitivity or the decrease of consumer's environmental awareness, the green technology level, product green degree, price, retailer's profit, and the total profit of green channel is decreased. In contrast, the wholesale price and manufacturer's profits are increased.
Does FinTech Credit Scale Stimulate Financial Institutions To Increase the Proportion of Agricultural Loans?
(Daffodil International University, 2022-09-02) Mohsin, Akm; Sheikh, MD Rashidul Islam; Tushar, Hasanuzzaman; Iqbal, Mohammed Masum; Hossain, Syed Far Abid; Kamruzzaman, Md.
FinTech has raised the risk-taking level of financial institutions. This paper aims to explore FinTech Credit (FTC) scale of non-financial institutions and the risk-taking level of financial institutions into Opiela’s model, constructs objective functions and constraints for representative financial institutions by conducting theoretical analysis and research hypothesis. It also explores the relationship between FTCscale and the proportion of agriculture-related loans. Based on the balanced panel data of 31 provinces and municipalities in China from 2009 to 2017, the individual fixed effects model is used to test the research hypothesis. Then, based on the balanced panel data of 31 provinces and municipalities in China from 2009 to 2017, the research hypothesis was tested using an individual fixed-effects model to explore the relationship between FTCscale and the proportion of agriculture-related loans. The results show that the FTCscale can increase the share of agriculture-related loans in financial institutions. Still, the percentage of agriculture-related loans and e-commerce factors increase at a marginal decreasing rate. Furthermore, the study shows that marketization and real estate development also indirectly affect the proportion of agricultural loans through the mediating part of the FTCscale. Finally, policy recommendations are proposed to develop FTC and the implementation of rural revitalization strategy.
Exploring the nexus between FDI inflows and economic growth: A sectoral level analysis
(2024-05-17) Guo ai-jun; Mohsin, A. K. M.; Farrukh Ahmed, Sayed; Shumshunnahar, Mst.; Arifur Rahman; Abdullah Abbas Amer, Ebrahim Abbas; Tushar, Hasanuzzaman
This study investigates the relationship between Foreign Direct Investment (FDI) inflows and economic growth at sectoral levels in Bangladesh, employing a panel study framework. Utilizing sectoral-level panel data spanning six sectors from 2007–08 to 2018–19, the analysis is conducted using Panel Vector Error Correction Model (Panel VECM). Results from panel unit root tests confirm that all variables are integrated of order one I (1), indicating stationarity. The Pedroni panel co-integration test further supports the presence of co-integration among the variables. Notably, the Panel VECM reveals evidence of a unidirectional causal relationship from Real Gross Domestic Product (RGDP) to Real Foreign Direct Investment (RFDI) across all six sectors of Bangladesh. The findings underscore the significance of formulating pragmatic policies and implementing them effectively to attract FDI across sectors, thereby contributing to the overall economic growth of Bangladesh.
Green Logistics and Environment, Economic Growth in the Context of the Belt and Road Initiative
(Daffodil International University, 2022-06-05) Mohsin, A.K.M.; Tushar, Hasanuzzaman; Hossain, Sayed Far Abid; Chisty, Kazi Khaled Shams; Iqbal, Mohammed Masum; Kamruzzaman, Md.; Rahman, Siddiqur
Infrastructure development has been a priority area since the Belt and Road Initiative (BRI) was proposed. This paper uses the generalized method of moments (GMM) to analyze the relationship between the green logistics, environment and economic growth based on panel data of countries along the BRI from 2007 to 2018. It is found that fossil fuels are the core of logistics operation activities, and the more fossil fuels are used, the more detri- mental to the sustainable development of the environment. "The green logistics is negatively correlated with fossil fuel energy consumption and carbon emissions per capita in countries along the Belt and Road. At the same time, the green logistics can also bring more export opportunities for these countries and increase the national income per capita. The development of the green logistics is of great significance to the countries' environment and sustainable economic development along the Belt and Road.
Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare
(2024-08-10) Rony, Moustaq Karim Khan; Numan, Sharker Md; Akter, Khadiza; Tushar, Hasanuzzaman; Debnath, Mitun; Tuj Johra, Fateha; Akter, Fazila; Mondal, Sujit; Das, Mousumi; Join Uddin, Muhammad; Begum, Jeni; Parvin, Mst Rina
With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and offer valuable insights into the ethical implications of AI adoption. This study aimed to explore nurses' perspectives on privacy and ethical concerns associated with the implementation of AI in healthcare settings. We employed Van Manen's hermeneutic phenomenology as the qualitative research approach. Data were collected through purposive sampling from the December 7, 2023 to the January 15, 2024, with interviews conducted in Bengali. Thematic analysis was utilized following member checking and an audit trail. Six themes emerged from the research findings: Ethical dimensions of AI integration, highlighting complexities in incorporating AI ethically; Privacy challenges in healthcare AI, revealing concerns about data security and confidentiality; Balancing innovation and ethical practice, indicating a need to reconcile technological advancements with ethical considerations; Human touch vs. technological progress, underscoring tensions between automation and personalized care; Patient-centered care in the AI era, emphasizing the importance of maintaining focus on patients amidst technological advancements; and Ethical preparedness and education, suggesting a need for enhanced training and education on ethical AI use in healthcare. The findings underscore the importance of addressing privacy and ethical concerns in AI healthcare development. Nurses advocate for patient-centered approaches and collaborate with policymakers and tech developers to ensure responsible AI adoption. Further research is imperative for mitigating ethical challenges and promoting ethical AI in healthcare practice.
Nurses' Perspectives on Privacy and Ethical Concerns Regarding Artificial Intelligence Adoption in Healthcare
(Elsevier, 2024-08-22) Rony, Moustaq Karim Khan; Numan, Sharker Md.; Akter, Khadiza; Tushar, Hasanuzzaman; Debnath, Mitun; Johra, Fateha tuj; Akter, Fazila; Mondal, Sujit; Dasi, Mousumi; Uddin, Muhammad Join; Begum, Jeni; Parvin, Mst. Rina
Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and offer valuable insights into the ethical implications of AI adoption. Objectives: This study aimed to explore nurses' perspectives on privacy and ethical concerns associated with the implementation of AI in healthcare settings. Methods: We employed Van Manen's hermeneutic phenomenology as the qualitative research approach. Data were collected through purposive sampling from the December 7, 2023 to the January 15, 2024, with interviews conducted in Bengali. Thematic analysis was utilized following member checking and an audit trail. Results: Six themes emerged from the research findings: Ethical dimensions of AI integration, highlighting complexities in incorporating AI ethically; Privacy challenges in healthcare AI, revealing concerns about data security and confidentiality; Balancing innovation and ethical practice, indicating a need to reconcile technological advancements with ethical considerations; Human touch vs. technological progress, underscoring tensions between automation and personalized care; Patient-centered care in the AI era, emphasizing the importance of maintaining focus on patients amidst technological advancements; and Ethical preparedness and education, suggesting a need for enhanced training and education on ethical AI use in healthcare. Conclusions: The findings underscore the importance of addressing privacy and ethical concerns in AI healthcare development. Nurses advocate for patient-centered approaches and collaborate with policymakers and tech developers to ensure responsible AI adoption. Further research is imperative for mitigating ethical challenges and promoting ethical AI in healthcare practice.