From adoption to value: SAED-Tech theory on user satisfaction and ease of use in digital transformation

Authors

  • Saed Mustafa The American University of Kurdistan
  • Tahreer M. Abu Hmeidan Marketing Department, Faculty of Business, Applied Science Private University, Amman, Jordan
  • Majd Alhawamdeh Faculty and Department: computer science and information technology, computer science, Jerash University
  • Reda Abdelfattah Mohammad Business Administration Department, Applied College, King Khalid University, Khamis Mushait, P. C. 62461, Saudi Arabia
  • Ali Mohsin Ba Awain College of Economics and Business Administration, University of, Technology and Applied Science, Salalah, Oman
  • Farah Shraideh Lecturer at E-Marketing and Social Media Department, Princess Sumaya University for Technology, Amman, Jordan
  • Trinkul Kalita Assam down town University, India
  • Alanoud M mbaidin Marketing Department, Faculty of Business, Applied Science Private University, Amman, Jordan

DOI:

https://doi.org/10.37868/hsd.v8i2.1967

Abstract

This study introduces the SAED-Tech theory, a unified digital transformation framework that integrates strategic alignment, artificial intelligence (AI), enterprise digitization, and data-driven optimization. It responds to the limitations of existing models such as TAM, RBV, IS Success, and TTF, which have traditionally examined these dimensions in isolation. SAED-Tech highlights the central roles of user satisfaction and perceived ease of use as mediating mechanisms that translate technological and strategic initiatives into organizational value. A quantitative explanatory design was adopted, drawing on survey responses from 412 managers in organizations across Jordan and the GCC. The proposed model was tested using PLS-SEM, supported by simulation experiments to examine optimization maturity over time. The results show that all four SAED-Tech dimensions significantly enhance user satisfaction and perceived ease of use, which in turn strongly predict organizational benefits, explaining 72% of the variance. The simulation further demonstrates that even marginal improvements in optimization capabilities yield substantial long-term performance gains. This research offers practical guidance for leaders and policymakers on how to align AI and digital initiatives with strategic objectives while ensuring user-centered adoption. It contributes to digital transformation literature by proposing a multi-level theory that connects strategic intent, technological infrastructure, and human experience as interdependent drivers of sustainable digital success.

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Published

2026-07-10

How to Cite

[1]
S. Mustafa, “From adoption to value: SAED-Tech theory on user satisfaction and ease of use in digital transformation”, Heritage and Sustainable Development, vol. 8, no. 2, pp. 59–76, Jul. 2026.

Issue

Vol. 8 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 Saed Mustafa, Tahreer M. Abu Hmeidan, Majd Alhawamdeh, Reda Abdelfattah Mohammad, Ali Mohsin Ba Awain, Farah Shraideh, Trinkul Kalita, Alanoud M mbaidin

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