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.
Profile: Google Scholar
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.