The Artificial Intelligence of Mobile Application of the Exchange Companies - Success Quality Engineering Measurement: Valid Instrument Yemen (AlShihr-Mukalla) Users Perspective: The Artificial Intelligence of Mobile Application of the Exchange Companies - Success Quality Engineering Measurement: Valid Instrument Yemen (AlShihr-Mukalla) Users Perspective

Ibrahim Fadhel; Mohammed Taiye; Samera Barraood; Amani Ibrahim; Hapini Awang; Abdullah Bokir

Authors

Ibrahim Eskandar Ibrahim Fadhel Department of Information Technology, College of Computers and Information Technology, Hadhramout University, Yemen Department of Computer Science & Department of Information Technology, College of Computer and Information Technology, Shabwah University, Yemen Department of Communication and Information Technology, National Institute of Science, AlShihr Department of Medical Information Technology, College of Engineering and Computer, 21September University, Sana’a Yemen
Mohammed Ahmed Taiye Linnaeus University, Sweden
Samera Obaid Barraood Department of Computer Science, College of Computers and Information Technology, Hadhramout University, Yemen
Amani Ali Ibrahim Open University Malaysia, Malaysia
Hapini Awang Institute for Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Malaysia
Abdullah Bokir Department of Information Technology, College of Computers and Information Technology, Hadhramout University, Yemen

Keywords:

Artificial n intelligent, Assessment Instrument, DeLone & McLean Model, ISO 25010, Systems Quality Success

Abstract

The increasing complexity of systems, particularly those incorporating artificial intelligence (AI), has rendered existing assessment tools insufficient for evaluating quality engineering effectiveness. A more comprehensive understanding of system success is therefore imperative. This study seeks to develop and validate a novel instrument for measuring system quality success by synthesizing frameworks from Information Systems (DeLone and McLean model) and Software Engineering (ISO 25010). The instrument's construction was refined through an expert panel of thirteen academics. It was subsequently empirically validated with a sample of 105 Yemeni users of AI-based mobile applications. Statistical analysis demonstrated strong reliability and validity, confirming the instrument's effectiveness as the first tool to assess system success through this integrated theoretical lens.

The Artificial Intelligence of Mobile Application of the Exchange Companies - Success Quality Engineering Measurement: Valid Instrument Yemen (AlShihr-Mukalla) Users Perspective