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Specific Qualification for Information System Components from Managers and Technical Staff Perspective

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Big Data and Smart Digital Environment (ICBDSDE 2018)

Part of the book series: Studies in Big Data ((SBD,volume 53))

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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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Notes

  1. 1.

    Establishment of a National Service of an Operational Information System (TEMPUS MISSION).

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Correspondence to Sarah Aouhassi .

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Appendix: ISysQ Model Abbreviations

Appendix: ISysQ Model Abbreviations

ISQ: :

Information System quality

HRQ: :

Human resources quality

MEx: :

Manager experience

StNI: :

Staff numbers involved in IS

StEx: :

IS staff experience

UID: :

Users implication degree

RCU: :

Resistance to change of users

UC: :

User competence

HQ: :

Hardware quality

ADL: :

Average duration of life

RDU: :

Rate of daily use

BAH: :

Budget allocated to hardware

SAQ: :

Software and application quality

EoU: :

Ease of use

CDM: :

The code development maintainability

FAd: :

Flexibility or adaptability

RT: :

Response time

Cx: :

Complexity

ASz: :

The application/software size

FIt: :

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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