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Research Article · Free to read · Published 31 May 2006

An Information Management System Model for the Industrial Incidents in Saudi Arabia: A Conceptual Framework Based on SDLC Methodology

Saleh Al-Zahrani

Journal of Computer Science, Volume 2, Issue 5, pp. 447–454 · doi.org/10.3844/jcssp.2006.447.454

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Abstract

The main focus of this study has been on the development of a conceptual framework for improving the current status of industrial accidents' control. The framework is aimed to use of ICT to improve the information exchange between the Civil Defence and Industrial Sector and to provide an information management system model for the Industrial Incidents Administration System (IIAS). The purposed system, designed to highlight the method by which data should be transferred between the Civil Defence and Industrial Sector, as well as other emergency services involved in assessing and controlling industrial accidents. This study used a survey in form of questionnaire and face-to-face interview supplemented by a document analysis of activities relating to those tow sectors and direct observation. This conceptual model based on the traditional System development life cycle methodology (SDLC).Study found that designing an information system network to link the Civil Defence and Industrial Sector in Saudi Arabia to facilitate the exchange of information to control industrial accidents is considered to be important in improving the current situation. As result of this study information management system model was purposed. Such model can be expected to contribute to improving and developing the information exchange system between the tow Sectors.

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Al-Zahrani, S. (2006). An Information Management System Model for the Industrial Incidents in Saudi Arabia: A Conceptual Framework Based on SDLC Methodology. Journal of Computer Science, 2(5), 447–454. https://doi.org/10.3844/jcssp.2006.447.454

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An Information Management System Model for the Industrial Incidents in Saudi Arabia: A Conceptual Framework Based on SDLC MethodologyJournal of Computer Science · Volume 2, Issue 5 · pp. 447–454 · © Science PublicationsDownload