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Key Quality Attributes for Computational and Sustainable Higher Education Strategy Implementation in Saudi Arabia

Author

Listed:
  • Saleh Alkhodhair

    (Research Chair of Artificial Intelligence (RCAI), Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia)

  • Ahmed Alsanad

    (Research Chair of Artificial Intelligence (RCAI), Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia)

  • Khaled Alghathbar

    (Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia)

  • Abdu Gumaei

    (Research Chair of Artificial Intelligence (RCAI), Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia)

Abstract

Higher education institutions (HEIs) in many developed and developing countries are facing big challenges in terms of quality in the face of growing global demand. Ensuring quality education is necessary to secure future prosperity and promote sustainable development. Hence; to ensure the success and sustainability of higher strategy; it is necessary for HEIs to improve the quality of strategy implementation processes and address the dynamic complexities of their attributes to identify areas for improvement. However; there are obvious issues associated with strategy implementation related to process modeling; automation; dynamic complexity; and cognitive limitations. This research is a step toward bridging the gap in adopting computational models in the higher education strategy implementation process to foster its automation and promote its sustainability. The aim of this research is to study the phenomenon of computational strategy implementation in the higher education domain using grounded theory to understand the criteria and quality attributes of the strategy implementation process and to generate a descriptive and explanatory model for strategy quality attributes (SQAs) of higher education; which entails the implementation of automated technology and computational models for more effective and sustainable strategy.

Suggested Citation

  • Saleh Alkhodhair & Ahmed Alsanad & Khaled Alghathbar & Abdu Gumaei, 2020. "Key Quality Attributes for Computational and Sustainable Higher Education Strategy Implementation in Saudi Arabia," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1881-:d:327272
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