Improving Cape Verde’s Digital Governance Strategy Formulation Process

Araujo, Wagner, Cardoso, Mário and Cruz, João, "Improving Cape Verde’s Digital Governance Strategy Formulation Process" 14th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2021), Athens, 2021/10/06/08.

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    Author Araujo, Wagner
    Cardoso, Mário
    Cruz, João
    Title Improving Cape Verde’s Digital Governance Strategy Formulation Process
    Event Series International Conference on Theory and Practice of Electronic Governance (ICEGOV)
    Publication Date 2022-01
    Place of Publication New York
    Publisher Association for Computing Machinery
    Pages 3
    Title of Event 14th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2021)
    Date of Event 2021/10/06/08
    Place of Event Athens
    Language eng
    Abstract The Digital Governance Strategy formulation process in Cape Verde, an archipelagic African country with a remarkable EGOV background, was recently carried on in a partnership between the Government Agencies, the Academy, Private Sector Entities, and Civil Society Personalities. The endeavor resulted in a strategic official document, approved in technical and political instances, including the National Committee for the Digital Strategy. As a first step, the initial strategy formulation process has been improved, generating a new one, composed of five delimited stages: Diagnosis and Context Analysis; Definition of the Vision; Definition of Intervention Areas; Definition of the Objectives; and Definition of Structuring Pillars. After a period of six months of teamwork, supported by the Action Research Approach, it resulted in the new Cape Verde strategy for the 2021-2023 period. This paper highlights the characteristics of the improved process, which can benefit other countries due to its consistency, cohesiveness, and reusability potential.
    Keyword Cabo Verde
    digital governance
    strategy
    formulation process
    Copyright Holder Association for Computing Machinery
    Copyright Year 2021
    Copyright type All rights reserved
    ISBN 9781450390118
    DOI 10.1145/3494193.3494312
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    Created: Wed, 26 Jan 2022, 22:21:19 JST by Mario Peixoto on behalf of UNU EGOV