EVALUATION OF CRITICAL SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS USING FUZZY AHP

Faculty Computer Science Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Gawaher Soliman Hessien Muhamed
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

  • Gawaher Soliman Hessien Muhamed, "Factors Influencing the Successful Implementation of BIS", ijett, 2018 More
  • Gawaher Soliman Hessien Muhamed, "Evaluation of critical success factors for business intelligence systems using fuzzy AHP", JATIT, 2018 More
  • Gawaher Soliman Hessien Muhamed, "Critical success factors framework for implementing and adapting BIS on organisational performance", inderscience, 2019 More
  • Gawaher Soliman Hessien Muhamed, "Critical success factors framework for implementing and adapting BIS on organisational performance", inderscience, 2019 More
  • Gawaher Soliman Hessien Muhamed, "A model for evaluating green credit rating and its impact on sustainability performance", Elsevier, 2021 More

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  • Nesreen Abdelghafar Soliman Elsaber, "Approaches to Software Re-architecting", The 37th International Conference on Computers and Industrial Engineering proceedings, 2007 More
  • Abdelnaser Hessien Reyad Zaied , "An Integrated Knowledge Management Capabilities Framework for Assessing Organizational Performance", International Journal of Information Technology and Computer Science, 2012 More
  • Nabil Moustafa AbdelAziz, "Application of GIS and IOT Technology-Based MCDM for Disaster Risk Management: Methods and Case Study", Scientific oasis, 2023 More
  • Nabil Moustafa AbdelAziz, "Mitigating Landslide Hazards in Qena Governorate of Egypt: A GIS-based Neutrosophic PAPRIKA Approach", NSWA, 2023 More
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