A framework to assess the sustainability of an employee suggestion system in the UAE organizations

Lasrado, F 2012, A framework to assess the sustainability of an employee suggestion system in the UAE organizations , PhD thesis, University of Salford.

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Abstract

Employee Suggestion Systems (ESS) is a tool widely used by the corporations to elicit employees' creative ideas. It will elicit suggestions from employees, classify them, and dispatch them to the "experts" for evaluation. After this, the suggestion might be adopted, in which case the suggestion may well be rewarded. "Experts "are dedicated committees who evaluate the suggestions and propose them for its implementations. Employee Suggestion Systems create win-win situation for employers and employees alike. However, despite the many benefits of the suggestion systems, the sustaining them is still a challenge for organizations. Organizations need to assess their suggestion schemes to determine their sustainability and to examine if the right conditions exist for the suggestion schemes to flourish. After all, suggestion systems can contribute to build organizations innovative capability. This research is an attempt to develop a framework to assess the sustainability of a suggestion system. This research explored the critical success factors and barriers to the success of the suggestion systems. It used both qualitative and quantitative methods to collect the data. The data was statistically tested to identify indicator to assess the sustainability of the suggestion system. The key findings of this research suggest five factors for assessing the sustainability of the suggestion system. These include: Leadership and Work Environment, System Capability, System Effectiveness, Organizational Encouragement and System Barriers. Sustainability of a suggestion system can be understood as a three stage model comprising three stages: The initial stage, the developmental stage and the advanced stage. The key practices associated for each of these stages are discussed in detail. Based on these findings, a framework to assess the sustainability of a suggestion system and the guidelines to use the framework are proposed.

Item Type: Thesis (PhD)
Contributors: Arif, M (Supervisor)
Schools: Schools > School of the Built Environment
Depositing User: Institutional Repository
Date Deposited: 28 Jul 2021 13:26
Last Modified: 27 Aug 2021 21:56
URI: http://usir.salford.ac.uk/id/eprint/61339

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