Research Highlights

Research Grants:

In line of its mission and strategy, ADSM has created several research awards and grants for inspiring and rewarding the cutting-edge research of its faculty. The School provides Research Incentive Fund and Collaborative Research Grant schemes to support internal and external funding support

Awards and Honors:

ADSM features its faculty who are active in research and scholarship or receive an award for research excellence

Partnerships:

ADSM strives to strengthen the research partnership through developing tangible research projects with Higher Education Institutions (HEI), government and private organizations, while also promoting and identifying research collaboration with regional and local entities.

Scopus Peer Reviewed Publications:

AY	2016-17	2017-18	2018-19	2019-20	2020-21	2021-22	Total
Total Publications	11	16	15	32	67	2	143
No. faculty	3	7	12	16	16	15
Per faculty	3.7	2.3	1.3	2.0	4.2	0.1

Impact:

List of paper in Top Q1-25% Percentile (SJR)

Dr. Miroslav Mateev

• Mateev, M., Moudud-Ul-Huq, S., Sahyouni, A., and Tariq, M.  (2021). Capital regulation, Competition and risk-taking: Policy Implications for banking sector stability in the MENA region. Research in International Business and Finance, Volume 60, April 2022, 101579
• Mateev, M., Tariq, M., and Sahyouni, A. (2021). Competition, Capital Growth and risk-taking in Emerging Markets: Policy Implications for Banking Sector Stability during COVID-19 Pandemic. PLOS ONE (Published: June 24, 2021)
• Mateev, M., and Bachvarov, P. (2020).  Regulation, ownership and bank performance in the MENA region: Evidence from Islamic and conventional banks, Emerging Markets Review (Available online 5 December 2020) http://dx.doi.org/10.2139/ssrn.3361462
• Mateev, M., and Andonov, K. (2018). Do Bidding Firms Pay More in Cross-border than in Domestic Acquisitions? New Evidence from Continental Europe and the UK. Research in International Business and Finance  (October 2018) 45, 529-556 https://doi.org/10.1016/j.ribaf.2017.09.003
• Mateev, M. (2017). Is the M&A Announcement Effect Different Across Europe? More Evidences from Continental Europe and the UK. Research in International Business and Finance, Volume 40, 190–216.  https://doi.org/10.1016/j.ribaf.2017.02.001
• Mateev, M., and Andonov, K. (2016). Do Cross-border and Domestic Bidding Firms Perform Differently? New Evidence from Continental Europe and the UK. Research in International Business and Finance, 37(2), 327–349.  https://doi.org/10.1016/j.ribaf.2016.01.001

 

Dr. Muhammd Usman Tariq

• Tariq, M.U., Babar, M., Jan, M. A., Khattak, A. S. (2021). Security Requirement Management for Cloud-Assisted and Internet of Things-Enabled Smart City. Computers, Materials and Continua, 67, 167(1), 625-639. DOI: 10.32604/cmc.2021.014165
• Zhu,X., Zhu, Y., Li, L., Pan, S., Tariq, M.U., Jan, M.A (2021). IoHT-enabled Gliomas Disease Management using Fog Computing for Sustainable Societies, Sustainable Cities and Societies, 74 (103215)
• Babar, M., Khattak, A., Jan, A.M., Tariq, M.U. (2021). Energy Aware Smart City Management System using Data Analytics and Internet of Things, Sustainable Energy Technologies and Assessments, 44, 200992
• Xu, S., Al Turki, R., Ur Rehman , A. & Tariq, M.U. (2021). BP Neural Network Combination Prediction for Big Data Enterprise Energy Management System. Mobile Networks and Applications
• Tariq, M.U., Babar, M., Jan, M. A.,& Khattak, A. S. (2021). Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City. Computers, Materials and Continua, 67, 167(1), 625-639.
• Zhang, H.,  Babar, M., Tariq, M.U., Jan, M., A., Menon, V.G., & Xingwang Li, X. (2020). Safe City: Toward Safe and Secured Data Management Design for IoT-enabled Smart City Planning. IEEE Access, DOI: 10.1109/ACCESS.2020.3014622.
• Babar M., Tariq, M.U., Jan, Mian. (2020). Secure and Resilient Demand Side Management Engine using Machine Learning for IoT-enabled Smart Grid. Sustainable Cities and Society, 62 (20) 102370. https://doi.org/10.1016/j.scs.2020.102370

 

Dr. Hamzah H. El Rehail

• Elrehail, H., Rehman, S. U., Chaudhry, N. I., & Alzghoul, A. (2021). Nexus among cyberloafing behavior, job demands and job resources: A mediated-moderated model. Education and Information Technologies, 1-19.
• Rehman, S. U., Elrehail, H., Alsaad, A., & Bhatti, A. (2021). Intellectual capital and innovative performance: a mediation-moderation perspective. Journal of Intellectual Capital. 30 April 2021. https://www.emerald.com/insight/content/doi/10.1108/JIC-04-2020-0109/full/html
• Alsaad, A., Taamneh, A., Sila, I., & Elrehail, H. (2021). Understanding the global diffusion of B2B E-commerce (B2B EC): An integrated model. Journal of Information Technology. https://doi.org/10.1177/0268396220961396
• Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2019). Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2017.07.003
• Taamneh, A., Alsaad, A. K., & Elrehail, H. (2018). HRM practices and the multifaceted nature of organization performance. EuroMed Journal of Business, 13(3), 315–334. http://doi.org/10.1108/EMJB-02-2018-0010.

 

Dr. Kiran Nair

• Rehman, S.U., Elrehail, H., Nair, K., Bhatti, A. and Taamneh, A.M. (2021). MCS package and entrepreneurial competency influence on business performance: the moderating role of business strategy”, European Journal of Management and Business Economics, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EJMBE-04-2020-0088

 

Dr. Neda Abdelhamid

• Shahamiri, S.R., Thatch, F., Abdelhamid , N. (2021). A new classification system for autism based on machine learning of artificial intelligence. Technolgy Health Care. (21), 11-18.  https://doi.org/0.3233/THC-213032
• Thabtah, F., Abdelhamid, N., Peebles, D.  (2019). A machine learning autism classification based on logistic regression analysis. Health Inf Sci Syst. 7(1):12. https://doi.org/10.1007/s13755-019-0073-5
• AlShboul, R., Thabtah, F.,  Abdelhamid, N., Al-diabat, M. (2018). A visualization cybersecurity method based on features’ dissimilarity.  Computers & Security, (77), 289-303. https://doi.org/10.1016/j.cose.2018.04.007