Malik Abu Afifa | Business | Research Excellence Award

Assoc. Prof. Dr. Malik Abu Afifa | Business
| Research Excellence Award

Al-Zaytoonah University of Jordan | Jordan

Assoc. Prof. Dr. Malik Abu Afifa is a statistician whose work spans industrial statistics, reliability engineering, biostatistics, and applied statistical modelling. Their research focuses on statistical quality control, acceptance sampling, time-to-event modelling, epidemiology, time series analysis, and the development of new probability distributions. They have produced an extensive body of peer-reviewed work, contributing more than 70 publications indexed in major scholarly databases. Their studies have advanced methods for product reliability assessment, epidemic monitoring, and industrial process optimization, as well as introduced innovative sampling schemes widely applied in quality management and risk evaluation. Their collaborative research extends across multiple African regions, supporting data-driven solutions in public health, environmental safety, and national development. A current project involves the creation of a statistical risk index for analyzing and predicting road-traffic crash patterns using spatial and multiscale modelling techniques. Their academic roles have included teaching, mentorship, and curriculum development, alongside participation in competitive research fellowships and professional development programs in analytics and quantitative science.

Featured Publications

Saleh, I., & Abu Afifa, M. (2020). The effect of credit risk, liquidity risk and bank capital on bank profitability: Evidence from an emerging market. Cogent Economics & Finance, 8(1), 1814509.

Abu Afifa, M. M., Van, H. V., & Van, T. L. H. (2022). Blockchain adoption in accounting by an extended UTAUT model: Empirical evidence from an emerging economy. Journal of Financial Reporting and Accounting, 21(1), 5–44.

Saleh, I., Marei, Y., Ayoush, M., & Abu Afifa, M. M. (2022). Big data analytics and financial reporting quality: Qualitative evidence from Canada. Journal of Financial Reporting and Accounting, 21(1), 83–104.

Tianyu Zhang | Digital operations | Best Researcher Award

Dr. Tianyu Zhang | Digital operations | Best Researcher Award

PhD student at Beijing Institute of Technology, China

Dr. Tianyu Zhang is a Ph.D. candidate in Management Science and Engineering at the Beijing Institute of Technology (BIT), China. He holds a Double Bachelor’s Degree in Economics from Peking University and a Bachelor’s Degree in Opto-Electronics Information Science and Engineering from BIT. His research focuses on blockchain adoption, supply chain finance, innovation diffusion, and decision-making models. He has published in high-impact journals like Omega and Journal of Business Research. A recipient of multiple First-Class Academic Scholarships , Dr. Zhang is skilled in agent-based modeling, data visualization, and analytical modeling.

Publication Profile

Scopus

Educational Background 🎓📚

Dr. Tianyu Zhang is currently pursuing a Ph.D. in Management Science and Engineering at the Beijing Institute of Technology (BIT), China . He previously earned a Double Bachelor’s Degree in Economics from Peking University (2014-2017) . Additionally, he holds a Bachelor’s Degree in Opto-Electronics Information Science and Engineering from BIT (2013-2017) . His diverse academic background integrates engineering, economics, and management, providing a strong foundation for his research in blockchain technology, supply chain finance, and innovation diffusion. Through his interdisciplinary expertise, Dr. Zhang contributes significantly to advancing data-driven decision-making and financial technologies.

Research Experience 🔬📖

Since 2019, Dr. Tianyu Zhang has been a principal member of a prestigious research project funded by the National Natural Science Foundation of China (NSFC) . His work focuses on developing a risk alert mechanism for the synergistic operation of the P2P lending system  (Project Ref. No. 71873015). This research aims to enhance financial stability and risk management strategies in the rapidly evolving digital finance sector. By leveraging advanced analytical models and data-driven approaches, Dr. Zhang contributes to shaping a more secure and efficient financial ecosystem in China.

Honors & Awards 🏆🎓

Dr. Tianyu Zhang has received multiple prestigious academic honors for his outstanding achievements . In 2020, he was recognized as an Outstanding Student at Beijing Institute of Technology (BIT) 🏛️. He has also been awarded the First-Class Academic Scholarship multiple times, including in 2018, 2017, and consecutively from 2014 to 2016. In 2017, he was honored as an Excellent Graduate Student of BIT, reflecting his dedication to academic excellence and research innovation . These accolades highlight his exceptional performance, intellectual rigor, and commitment to advancing knowledge in his field.

Research Interests 🔍📊

Dr. Tianyu Zhang’s research focuses on emerging technologies and decision sciences . His expertise includes blockchain and supply chain finance , where he explores financial innovations and risk management. He is also passionate about innovation diffusion , studying how new technologies spread in competitive markets. His work in agent-based modeling  helps simulate complex systems, while his proficiency in multiple case study analysis  enhances strategic decision-making. Additionally, he specializes in multiple-criteria decision making , developing frameworks for optimal choices in uncertain environments. His research contributes to advancing business strategies and technological innovations.

Publications 📚📝

  • The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members 🏭🔗
    Year: 2023

  • Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model ⌚📈
    Year: 2022

  • Innovation adoption of blockchain technology in supply chain finance 🔗💰
    Year: 2022

  • A group consensus reaching model balancing individual satisfaction and group fairness for distributed linguistic preference relations 🤝⚖️
    Year: 2024

  • Differential game theoretic analysis of the blockchain technology investment and carbon reduction strategy in digital supply chain with government intervention 🌍🔬
    Year: 2024

  • The contagion mechanism and governance strategy of corporate social irresponsibility of Chinese food companies 🍽️⚠️
    Year: 2024

  • A novel multi-attribute decision-making framework based on Z-RIM: an illustrative example of cloud service selection ☁️📊
    Year: 2020