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Towards the measurement of Enterprise Information Systems agility to support EIS improving projects

Author

Listed:
  • Jannik Laval

    (DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées)

  • Chantal Cherifi

    (DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées)

  • Vincent Cheutet

    (DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées)

Abstract

Enterprise information systems (EIS) are directly implied in the global performance of an organisation. Nevertheless, their potential rigidity in comparison with the required fast evolution of the supported organisation remains an important open research question. The proposed research work aims to define and evaluate the agility of an EIS, in order to assist both software engineers and business managers in EIS improvement projects. In particular, a framework is proposed to structure the different existing metrics on agility according to the improvements needs and the intrinsic characteristics of an information system.

Suggested Citation

  • Jannik Laval & Chantal Cherifi & Vincent Cheutet, 2018. "Towards the measurement of Enterprise Information Systems agility to support EIS improving projects," Post-Print hal-01847787, HAL.
    • Handle: RePEc:hal:journl:hal-01847787
    DOI: 10.1504/IJASM.2018.10015581
    Note: View the original document on HAL open archive server: https://hal.science/hal-01847787v1
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