Abstract
Agile methodologies are the preferred strategy for work teams around the world thanks to their rapid response to changes and adaptability. However, this prioritization of efficiency and speed has neglected the well-being of the most important element of any project: The teams. This article presents NEKO as a super-Agile methodology focused on people and that aims to prioritize the mental health of workers without neglecting effectiveness, relying on new technologies such as Artificial Intelligence to enhance its processes. During the research stage, using the methodology proposed by Kitchenham, fifteen articles were analyzed and allowed us to rescue the strengths and identify the problems presented by the agile methodologies most used today. Then, the proposal was developed dividing it into three phases; each including events, artifacts, and tools to achieve your goal. Later, during the discussion, the proposal was contrasted with the methodologies initially analyzed and it was concluded that taking the points in favor of these and adding state-of-The-Art technology focused on the well-being of the teams is synonymous with efficiency, meaning a possible change in the paradigm of the current world of work.
Original language | English |
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Title of host publication | 5th International Conference on Computing and Informatics, ICCI 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 15-21 |
Number of pages | 7 |
ISBN (Electronic) | 9781665499729 |
DOIs | |
State | Published - 2022 |
Event | 5th International Conference on Computing and Informatics, ICCI 2022 - New Cairo, Egypt Duration: 9 Mar 2022 → 10 Mar 2022 |
Publication series
Name | 5th International Conference on Computing and Informatics, ICCI 2022 |
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Conference
Conference | 5th International Conference on Computing and Informatics, ICCI 2022 |
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Country/Territory | Egypt |
City | New Cairo |
Period | 9/03/22 → 10/03/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Agile project management
- Effectiveness
- Mental health
- Methodology
- Work teams