Ibrahim H. Osman

Ibrahim H. Osman obtained his PhD in Management Science, Imperial College, UK; MSc in Operations Research, Southampton, UK; and BSc in Mathematics, Lebanese University. He was a tenured assistant professor at University of Kent at Canterbury, UK; visiting associate professor, University of Kuwait; is currently at the American University of Beirut serving in different capacities, HE Husni al-Sawwaf Endowed Chair in Business and Management, Chair of Business Information and Decision system, Associate Dean for Research; and is a member of National Railway and Public Bus Transport Authority, member of the advisory boards to the Prime Minister office on public reform in Lebanon, and consultant to education quality assurance authorities in Lebanon, Bahrain, France, India, and Malaysia. He is a consultant to international agencies on electronic government services in Qatar, Kuwait, Lebanon, Turkey, UK, and UN-ESCWA. He received the Citation of Research Excellence Award from ANBAR Electronic Intelligence, has co-edited four books on Meta-Heuristics, co-founded the Meta-Heuristics International Conference series, published a large number of refereed publications in high impact factor Journals, and been awarded a number of extramural-funded research projects from agencies in EU, QNRF, and CNRS.

Publications

A Cognitive Analytics Management Framework (CAM-Part 1): SAMAS Components, Leadership, Frontier Performance Growth, and Sustainable Shared Value
Ibrahim H. Osman, Abdel Latef Anouze. © 2017. 77 pages.
In this chapter, the current world's challenges, shortcomings of strategic performance measurement, and management methodologies are analyzed to introduce the...
A Review of the Factors Affecting User Satisfaction in Electronic Government Services
Vishanth Weerakkody, Zahir Irani, Habin Lee, Nitham Hindi, Ibrahim H. Osman. © 2016. 37 pages.
Even after more than a decade of intensive research work in the area of electronic government (e-government) adoption and diffusion, no study has yet undertaken a...
A Cognitive Analytics Management Framework (CAM-Part 3): Critical Skills Shortage, Higher Education Trends, Education Value Chain Framework, Government Strategy
Ibrahim H. Osman, Abdel Latef Anouze. © 2016. 43 pages.
The main objectives of the chapter are to evaluate the impact of the tsunami of big data, business analytics, and technology on the delivery and diffusion of...
Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis
Ibrahim H. Osman, Abdel Latef Anouze, Ali Emrouznejad. © 2014. 735 pages.
Organizations can use the valuable tool of data envelopment analysis (DEA) to make informed decisions on developing successful strategies, setting specific goals...
A Cognitive Analytics Management Framework (CAM-Part 1): SAMAS Components, Leadership, Frontier Performance Growth, and Sustainable Shared Value
Ibrahim H. Osman, Abdel Latef Anouze. © 2014. 79 pages.
In this chapter, the current world's challenges, shortcomings of strategic performance measurement, and management methodologies are analyzed to introduce the...
A Cognitive Analytics Management Framework (CAM-Part 2): Societal Needs, Shared-Value Models, Performance Indicators, Big Data, Business Analytics Models and Tools
Ibrahim H. Osman, Abdel Latef Anouze. © 2014. 110 pages.
In Chapter 1, The CAM framework focused on the development of innovative social business models through the usage of frontier data envelopment analysis to measure...
A Cognitive Analytics Management Framework (CAM-Part 3): Critical Skills Shortage, Higher Education Trends, Education Value Chain Framework, Government Strategy
Ibrahim H. Osman, Abdel Latef Anouze. © 2014. 45 pages.
The main objectives of the chapter are to evaluate the impact of the tsunami of big data, business analytics, and technology on the delivery and diffusion of...
Mismanagement or Mismeasurement: The Application of DEA to Generate Performance Values and Insights from Big Data
Abdel Latef Anouze, Ibrahim H. Osman. © 2014. 47 pages.
Data Envelopment Analysis (DEA) is a well-known frontier valuation method to assess the performance of set of Decision Making Units (DMUs). It derives an overall...