Elevating public eProcurement: AI implementation factors from the ALICE case study

Arquivos
Data
2023-12-22
Orientador(res)
Cunha, Maria Alexandra Viegas Cortez da
Título da Revista
ISSN da Revista
Título de Volume
Resumo

Technology is an essential tool for implementing reforms in the public procurement process. One of the earliest applications of technology in this process was the creation of electronic public procurement systems, which allowed the process to move from paper to online. This first innovation led public administrations to adapt to technology, seeking greater efficiency, transparency, and effectiveness. To understand the relationship that exists to date between public procurement and technology, this study conducts a literature review in the areas of digital government and public administration. The review uncovers five different approaches with respective future agendas: a) Exploring public eProcurement; b) Public eProcurement technology application; c) Public sector use of public eProcurement; d) End users of public eProcurement; e) Public procurement of innovation. Among these approaches, there is a lack of studies that understand the relationship between technologies other than electronic systems and public procurement. Furthermore, there is a lack of studies regarding the new technology used and the implementation processes in the public sector. Thus, this study analyzes the implementation of the Brazilian Artificial Intelligence solution called ALICE as a way to contribute to this literature. ALICE is an audit tool that supports the Comptroller General of the Union and the Federal Court of Accounts auditors in the timely analysis of tenders. Using the STOPE framework, 14 implementation factors have been identified throughout the tool's implementation. Among these factors, the collaboration between the auditors, the integration of the tool in the daily workflow of civil servants, and the need to align organizational objectives with the development and implementation of new tools stand out.


Descrição
Área do Conhecimento