Abstract
Measuring Information System Quality (ISQ) becomes crucial for organizations that claim to be at the leading edge of technology. Therefore, a hierarchical model for ISQ was realized and named “ISysQ model”. It takes into consideration the five Information System (IS) components: Human Resources, Hardware, Software and Application, Procedures and Data, then gives a set of indicators for each component. The ISysQ model uses data collected from all IS intervening that are Managers, Technical Staff, Functional Staff and Users. This research focuses on the surveys designed for Managers and Technical staff by using firstly the aggregating formulas of questions into indicators in order to give them numerical values, secondly, all indicators values are standardized leading this way to the last part where a comparison between managers and technical staff perspectives is performed by component. An analysis and interpretation of the disparities on components values for the two groups of respondents within the same organization is discussed.
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Establishment of a National Service of an Operational Information System (TEMPUS MISSION).
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Appendix: ISysQ Model Abbreviations
Appendix: ISysQ Model Abbreviations
- ISQ: :
-
Information System quality
- HRQ: :
-
Human resources quality
- MEx: :
-
Manager experience
- StNI: :
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Staff numbers involved in IS
- StEx: :
-
IS staff experience
- UID: :
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Users implication degree
- RCU: :
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Resistance to change of users
- UC: :
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User competence
- HQ: :
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Hardware quality
- ADL: :
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Average duration of life
- RDU: :
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Rate of daily use
- BAH: :
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Budget allocated to hardware
- SAQ: :
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Software and application quality
- EoU: :
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Ease of use
- CDM: :
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The code development maintainability
- FAd: :
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Flexibility or adaptability
- RT: :
-
Response time
- Cx: :
-
Complexity
- ASz: :
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The application/software size
- FIt: :
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Friendly interfaces
- USC: :
-
Users specifications conformity
- Ut: :
-
Utility
- BAS: :
-
Budget allocated to software and application
- PrQ: :
-
Procedures quality
- Doc: :
-
Documentation
- Apl: :
-
Applicability
- DQ: :
-
Data quality
- Str: :
-
Structure
- UpBp: :
-
Updating and back up
- LR: :
-
Lack of redundancy
- Rl: :
-
Relevance
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Aouhassi, S., Hanoune, M. (2019). Specific Qualification for Information System Components from Managers and Technical Staff Perspective. In: Farhaoui, Y., Moussaid, L. (eds) Big Data and Smart Digital Environment. ICBDSDE 2018. Studies in Big Data, vol 53. Springer, Cham. https://doi.org/10.1007/978-3-030-12048-1_6
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DOI: https://doi.org/10.1007/978-3-030-12048-1_6
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