| Pub. Date | : April, 2021 |
|---|---|
| Product Name | : The IUP Journal of Knowledge Management |
| Product Type | : Article |
| Product Code | : IJKM10421 |
| Author Name | : Sekhar Vadari* and P H Anantha Desik** |
| Availability | : YES |
| Subject/Domain | : Management |
| Download Format | : PDF Format |
| No. of Pages | : 25 |
Artificial Intelligence (AI)/Machine Learning (ML) can play a significant, meaningful, and considerable role in enriching and strengthening the Knowledge Management (KM) systems. A good number of studies have been done to explore the connection between AI/ML and KM systems. But these studies focused more on definitive techniques and the impact of a few AI/ML algorithms, neglecting the role of others and how it may impinge on the KM system in order to reach a set of organizational goals, which diminishes the KM adoption in some organizations. This study depicts the relationship between AI/ML and KM systems from a point of view that offers choices to apply AI/ML for organization-wide KM systems to mitigate implementation issues and improve the degree of overall KM systems acceptance in the organizations. The key conclusion of the study is that KM systems can be enhanced considerably with AI/ML; KM processes like knowledge acquisition and knowledge creation can leverage different types of AI/ML algorithms providing a competitive edge for the organizations. The study also finds that most of the previous studies concur on the positive correlation between AI/ML and KM, and discusses the pivotal role AI/ML plays in the overall improvement of the KM systems.
Knowledge and its management is the key element in the thriving, surviving and sustenance of a business enterprise (Omotayo and Salami, 2018; Salloum et al., 2018; Ahlam Wahdan et al., 2020; and Al Kurdi and Alshurideh, 2020). No wonder then that knowledge is regarded as an indispensable asset for a firm. 'Knowledge' is defined as: (1) Facts, information, and skills acquired by a person through experience or education; the theoretical or practical understanding of a subject; and (2) Awareness or familiarity gained by experience of a fact or situation. Knowledge therefore encompasses ideas, concepts, data, information, technologies as collected and preserved in the human brain (Lopez-Portillo et al., 2016). The important characteristics of knowledge are as follows: (1) Knowledge is contextual and it can be reused; (2) Benefits of knowledge are obtained only if it is applied; (3) The values of knowledge may change over time; (4) Knowledge has to be renewed or maintained; (5) It can be difficult to transfer, capture and distribute knowledge; (6) It is developed through learning processes; (7) It hinges on recollection, prior experience, knowhow, knowledge transfer mechanisms, and opportunities; (8) It facilitates effectiveness, efficiency of interpretations; (9) Knowledge