A usability based model for suggestion system evaluation of infrastructure organisations in the UAE

Alleem, R 2012, A usability based model for suggestion system evaluation of infrastructure organisations in the UAE , PhD thesis, University of Salford.

[img] PDF
Restricted to Repository staff only until 31 July 2024.

Download (43MB) | Request a copy


This thesis was started with an aim to develop a usability based assessment model for suggestion systems. A review of literature highlighted fifteen variables that act as drivers for suggestion system success. In order to apply the concept of usability, the definition of Jakob Nielson (2003) was used. This definition defines usability as a phenomenon that consists of five major factors: learnability, efficiency, memorability, errors recovery, and satisfaction. A further understanding about usability for suggestion system drivers was developed using synthesis of literature. The variables were used for a survey followed by brainstorming sessions. This series of data analysis resulted in the development of a model called "individual participation factor", "core systems factor", and "system support factor." A maturity model with three levels of maturity was defined. The first level was defined as ad-hoc, the second level was defined as operational level, and the third level was defined as strategic. An Analytical Hierarchy Process (AHP) was used to prioritize. The result of AHP showed that the most important factor is the individual participation factor. This clearly shows that the first and foremost issue is an individual's trust in the system. Employees should feel safe to submit a suggestion. In order to test the model, three case studies from infrastructure sector organisations in the UAE were used. The application of model was useful in assessing the current state of the suggestion system. The model also helped identify opportunities for improvement and could assign a usability score. Having a prioritised list ensures that organisations can focus on improving factors that have higher impact on the overall usability of the system.

Item Type: Thesis (PhD)
Contributors: Arif, M (Supervisor)
Schools: Schools > School of the Built Environment
Depositing User: Institutional Repository
Date Deposited: 12 Aug 2021 13:42
Last Modified: 04 Aug 2022 11:20
URI: https://usir.salford.ac.uk/id/eprint/61495

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)


Downloads per month over past year