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Designing People Capability Maturity Model Criteria to Enhance the Assessment Instrument for SPBE to Address the Elements of People, Process, and Technology in IT Governance

In: Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023)

Author

Listed:
  • Mutmainnah Adnan Lanure

    (Telkom University, Information System Department)

  • Basuki Rahmad

    (Telkom University, Information System Department)

  • Muharman Lubis

    (Telkom University, Information System Department)

  • Reza Abdillah Adnan Lanure

    (Telkom University, Information System Department)

Abstract

There is no specific assessment instrument for people management aspects in the SPBE instrument, hence this research has completed the design of People capability maturity model criteria for an electronic-based government system (SPBE) based on the P-CMM model, by adding 1 domain related to people, to complement the SPBE existing domains such as internal policy, governance, management, and services, to fulfill the people process and technology aspects. The designing criteria process used is the people capability maturity model in an electronic-based government system (SPBE). This instrument has gone through a focus group discussion process and validated using the CVI and CVR methods, and the score results obtained are 1, which shows that the design is very relevant. So, it can be concluded that the design criteria for the people capability maturity model in an electronic-based government system (SPBE) proposed by the researcher can be declared valid and relevant.

Suggested Citation

  • Mutmainnah Adnan Lanure & Basuki Rahmad & Muharman Lubis & Reza Abdillah Adnan Lanure, 2023. "Designing People Capability Maturity Model Criteria to Enhance the Assessment Instrument for SPBE to Address the Elements of People, Process, and Technology in IT Governance," Advances in Economics, Business and Management Research, in: Mahmud Dwi Sulistiyo & Ryan Adhitya Nugraha (ed.), Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023), pages 331-342, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-340-5_29
    DOI: 10.2991/978-94-6463-340-5_29
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