This research investigates the feasibility of web technology as a means of delivering facility information for better support of facility operations and maintenance. This study proposes a web-based feedback system as a pragmatic solution to the limitations of current facility management (FM) processes, increasing the efficiency of these processes via web technology. In practice, work orders and records are often misplaced, resulting in reduced efficiencies, redundancies, and time-consuming, costly tasks. This problem may be overcome by use of a system that stores information digitally and provides a web-based interface. The interface could allow operations personnel to create documentation, share and monitor work orders, provide feedback for service online, and facilitate communication between facility teams. The benefit for a FM department is that it can receive feedback on performance, which would improve the quality of service and build a record of practical experiences. In this research, the software was tested using two types of prototype testing: first, system testing to evaluate functionality, usability and capability; and second, a post-task questionnaire survey was conducted to test and review the concept, interface, and usability of the system. Facility Management Industry Advisor Council (FMIAC) members answered the questionnaires after using the system posted on the web. By using web-based feedback system, a facility web site can be created and maintained easily through a standard web browser. The questionnaires from the FMIAC members were analyzed to test research questions. The tests show that the software aids facilities managers in maintaining living documents of their facilities.
| Identifer | oai:union.ndltd.org:TEXASAandM/oai:repository.tamu.edu:1969.1/4268 |
| Date | 30 October 2006 |
| Creators | Jeong, Jin Su |
| Contributors | Miranda, Valerian, Haque, Mohammed E., Velasco, Vasquez de, Guillermo |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Electronic Thesis, text |
| Format | 5997940 bytes, electronic, application/pdf, born digital |
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