Nominal ranking technique in information and knowledge management: A methodology to SoTL

South African Journal of Information Management

 
 
Field Value
 
Title Nominal ranking technique in information and knowledge management: A methodology to SoTL
 
Creator De Koker, Lucian T. Du Plessis, Tanya
 
Subject Information Management; Knowledge Management; Management; Business Management; Information and Knowledge Management scholarship of teaching and learning; SoTL; nominal ranking technique; heat maps; information and knowledge management; business case studies
Description Background: The scholarship of teaching and learning (SoTL) makes provision for methodology contributions across disciplines. The information and knowledge management (IKM) discipline prepares students to function optimally in the Fourth Industrial Revolution (4IR). To keep abreast with continuous and agile change in the 4IR, a new contribution is made to the SoTL in the form of a nominal ranking technique (NRT) methodology in the IKM discipline.Objectives: To develop the NRT methodology for constructing IKM heat maps of the 4IR elements and criteria relating to strategic information management (SIM) business case studies (BCSs). By sharing the NRT methodology, this paper aims to make a SoTL contribution in IKM.Method: Using the qualitative research approach, content analysis was used to analyse 101 BCSs of SIM students. By employing critical case sampling and the NRT methodology, the top BCSs were identified for inclusion in constructing the IKM heat maps.Results: Four BCS categories, unique, novice, duplicate, and duplicate-novice, were determined by applying the NRT methodology, with 5 elements and 25 criteria in constructing the IKM heat maps.Conclusion: The NRT methodology serves as a guideline for constructing IKM heat maps, a unique contribution to the SoTL in the IKM discipline. Each application of the NRT methodology will be unique and beneficial.Contribution: In this study, the value relates how the IKM discipline prepares SIM students to function optimally in the 4IR, evidenced by the four categories of BCSs.
 
Publisher AOSIS
 
Contributor
Date 2024-07-25
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Qualitative Research; Content Analysis; Nominal Ranking Technique methodology; critical case sampling
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajim.v26i1.1806
 
Source South African Journal of Information Management; Vol 26, No 1 (2024); 13 pages 1560-683X 2078-1865
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajim.co.za/index.php/sajim/article/view/1806/2889 https://sajim.co.za/index.php/sajim/article/view/1806/2890 https://sajim.co.za/index.php/sajim/article/view/1806/2891 https://sajim.co.za/index.php/sajim/article/view/1806/2892
 
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Rights Copyright (c) 2024 Lucian T. de Koker, Tanya du Plessis https://creativecommons.org/licenses/by/4.0
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