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User perception on the utilisation of artificial intelligence for the management of records at the council for scientific and industrial research

Mashilo Modiba (Department of Information Science, University of South Africa, Pretoria, South Africa)

Collection and Curation

ISSN: 2514-9326

Article publication date: 4 January 2023

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Abstract

Purpose

This study aims to investigate the users’ perception on the utilisation of artificial intelligence (AI) for the management of records at the Council for Scientific and Industrial Research (CSIR) in South Africa. User perception plays a crucial role in the utilisation of AI for the management of records at the CSIR. It is important to know the views of the users, especially how they think AI can be used for effective and efficient management of records.

Design/methodology/approach

The convergent mixed methods research was applied, and data was collected using interviews and questionnaires. Data was analysed thematically and statistically and presented using tables and figures.

Findings

This study reveals that the users were not aware of the application of AI for the management of records until the workshops, which were facilitated by the researcher. The users are of the view that AI can be used to provide efficient storage of records, quick retrieval of records and adequate security. This study further reveals that the CSIR is not yet ready to use AI for the management of records because of the lack of knowledge and resources to implement AI.

Originality/value

This study also proposes a framework regarding the users’ perception on the utilisation of AI for the management of records at the CSIR. It is hoped that the framework proposed will serve as a benchmark and guideline for user perception regarding the use of AI for the management of records in the archives and records management industry.

Keywords

Citation

Modiba, M. (2023), "User perception on the utilisation of artificial intelligence for the management of records at the council for scientific and industrial research", Collection and Curation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CC-11-2021-0033

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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