Artificial Intelligence and Knowledge Management in South African Automotive Industries

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Automotive industries in the developed world have strived to improve performance and productivity by incorporating Knowledge Management (KM) practices in their manufacturing processes. This has been attributed to the use of upgraded technological capabilities in the acquisition, sharing, and retention of organizational knowledge. Literature has unpacked that as much as automotive industries need Information Communication Technologies (ICTs) in their KM strategy, they should also include aspects of Artificial Intelligence (AI) to facilitate and share knowledge (Wisskirchen et al., 2017; Calitz, Poisat & Cullen, 2017; Cronin, Conway & Walsh, 2019). More so, they recognised the limitations of ICTs concerning the management … continued below

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16 p.

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Musonza, Charleen & Muchaonyerwa, Ndakasharwa December 2020.

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This paper is part of the collection entitled: International Conference on Knowledge Management (ICKM) and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 61 times. More information about this paper can be viewed below.

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Automotive industries in the developed world have strived to improve performance and productivity by incorporating Knowledge Management (KM) practices in their manufacturing processes. This has been attributed to the use of upgraded technological capabilities in the acquisition, sharing, and retention of organizational knowledge. Literature has unpacked that as much as automotive industries need Information Communication Technologies (ICTs) in their KM strategy, they should also include aspects of Artificial Intelligence (AI) to facilitate and share knowledge (Wisskirchen et al., 2017; Calitz, Poisat & Cullen, 2017; Cronin, Conway & Walsh, 2019). More so, they recognised the limitations of ICTs concerning the management of tacit knowledge, which is intangible and difficult to share, as it plays a crucial role in the KM process. Despite the interest of many authors towards KM in automotive industries, there is a lack of studies aimed at investigating AI as a KM enabler in the South African automotive industry. This is a relevant issue as knowledge in the automotive industries tends to manifest itself tacitly. This realization has spawned a growing interest in incorporating advanced technologies like artificial intelligence into KM practices to overcome knowledge loss and bringing in innovation in automotive industries. It is against this backdrop; the study seeks to investigate AI as a KM enabler in automotive industries of South Africa.

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16 p.

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The International Conference on Knowledge Management (ICKM) provides researchers and practitioners from all over the world a forum for discussion and exchange of ideas concerning theoretical and practical aspects of Knowledge Management. ICKM 2020 held December 3-5 as a virtual meeting using Cisco WebEx (technical support from NC Central University, Durham, NC) and hosted by the Knowledge and Information Professional Association (KIPA). The conference theme is “Knowledge Commons in the City of Medicine,” covering the institutional analysis of data and the development of knowledge sharing in any subject area.

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  • 16th International Conference on Knowledge Management (ICKM-2020), December 3-5, 2020. Virtual meeting using Cisco WebEx (technical support from NC Central University), Durham, NC, United States,

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International Conference on Knowledge Management (ICKM)

Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).

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  • December 2020

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  • June 15, 2021, 12:15 p.m.

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Musonza, Charleen & Muchaonyerwa, Ndakasharwa. Artificial Intelligence and Knowledge Management in South African Automotive Industries, paper, December 2020; (https://digital.library.unt.edu/ark:/67531/metadc1813458/: accessed May 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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