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Evaluation of critical success factors for business intelligence systems using fuzzy AHP
Faculty
Engineering
Year:
2018
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Osama Khalil Garida
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Theoretical and Applied Information Technology JATIT
Volume:
Keywords :
Evaluation , critical success factors , business intelligence
Abstract:
Business intelligence systems (BIS) play an important role in organizations through enabling managers and decision-makers to make accurate, timely and relevant decisions to increase the productivity and profitability of their organizations.
Author Related Publications
Mohammed Osama Khalil Garida, "A Model for Optimizing Data Caching of Dual Mode Handheld Devices", IJCSI International Journal of Computer Science Issues, 2013
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Mohammed Osama Khalil Garida, "A system dynamics-based model to implement the Theory of Constraints in a healthcare system", sagepub, 2019
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Mohammed Osama Khalil Garida, "Repairable 3-out-of-4: Cold standby system availability", IEOM, 2017
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Mohammed Osama Khalil Garida, "Multi-Suppliers Procurement Modelwith Optimal Service Level Tailored for Egyptian Industrial Sector", IRACST, 2014
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Mohammed Osama Khalil Garida, "User-friendly ICT-enabled applications for renewable energy management", icerega, 2018
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Department Related Publications
Abdelnaser Hessien Reyad Zaied , "A Technique for Cost Justified Software Usability Testing", Engineering Research Journal, Helwan University,, 2002
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Abdelnaser Hessien Reyad Zaied , "Assessing e-Readiness in the Arab Countries: Perceptions Towards ICT Environment in Public Organizations in the State of Kuwait", Electronic Journal of e-Government, 2007
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Abdelnaser Hessien Reyad Zaied , "Development of Driver Assistance Collision Avoidance Fuzzy System", Emirates Journal for Engineering Research, 2006
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Amira Mohammed Fawzi AbedulFatah, "DATA MINING TECHNIQUES FOR DATABASE PREDICTION: STARTING POINT.", Journal of Theoretical and Applied Information Technology, 2018
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Elshaymaa Adel Tantawi, "Applying Big Data Analytics to Retail for Improved Supply Chain Visibility", American Scientific Publishing Group (ASPG), New Orleans, USA, 2021
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