From dark data to insight : the role of knowledge management in promoting digital decarbonisation

dc.contributor.authorSmuts, Hanlie
dc.contributor.authorVan der Merwe, Alta
dc.contributor.emailhanlie.smuts@up.ac.za
dc.date.accessioned2025-07-25T07:05:49Z
dc.date.available2025-07-25T07:05:49Z
dc.date.issued2025-03
dc.descriptionThis article forms part of a research project led by Professor Hanlie Smuts, project number EBIT/23/2022. DATA AVAILABILITY : The data that support the findings of this study are not yet openly and readily available because of the data being part of an ongoing study and will be available from the corresponding author, H.S., upon reasonable request.
dc.description.abstractBACKGROUND : Sustainable transformation is a key component of organisational sustainability, particularly as the exponential growth of data drives the need for energy-intensive data centres. This study focussed on knowledge management (KM), specifically dark data management, as a practice to reduce the demand on data centres that ultimately contributes to carbon emissions. OBJECTIVES : Data-driven technologies have exponentially increased data generation, much of which remains unused as dark data. Dark data contribute to the growing environmental impact of digital activities, as the storage and processing of unused data require substantial energy resources. METHOD : The study applied a survey strategy to analyse 539 responses through factor analysis, using the Statistical Package for the Social Sciences (SPSS) software tool to investigate dark data KM strategies and practices towards supporting digital decarbonisation and enhancing organisational sustainability. Qualitative data were analysed using thematic analysis and integrated with the extracted factors. RESULTS : The study identified 13 key considerations to derive a socio-technical work system using KM strategies and practices in support of digital decarbonisation and sustainability: business process, data governance and stewardship, data management, data security, decision-making, interdisciplinary collaboration, knowledge and information management, measurement, organisational culture, organisational goals, organisational learning, technology and organisational structure. CONCLUSION : Rather than considering typical Green Information Technology (IT) strategies, this study focussed on KM, specifically dark data management, as a practice to reduce the demand for data centres that ultimately contribute to carbon emissions. CONTRIBUTION : The study offers insights into applying KM capability as an additional approach to achieving Green IT goals for organisations focussing on Green IT strategies.
dc.description.departmentInformatics
dc.description.librarianhj2025
dc.description.sdgSDG-07: Affordable and clean energy
dc.description.sdgSDG-13: Climate action
dc.description.urihttp://www.sajim.co.za/
dc.identifier.citationSmuts, H. & Van der Merwe, A., 2025, ‘From dark data to insight: The role of knowledge management in promoting digital decarbonisation’, South African Journal of Information Management 27(1), a1967. https://doi.org/10.4102/sajim.v27i1.1967.
dc.identifier.issn2078-1865 (print)
dc.identifier.issn1560-683X (online)
dc.identifier.other10.4102/sajim.v27i1.1967
dc.identifier.urihttp://hdl.handle.net/2263/103592
dc.language.isoen
dc.publisherAOSIS
dc.rights© 2025. The Authors. Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
dc.subjectKnowledge management
dc.subjectDark data
dc.subjectOrganisational sustainability
dc.subjectDigital decarbonisation
dc.subjectGreen IT strategies
dc.titleFrom dark data to insight : the role of knowledge management in promoting digital decarbonisation
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Smuts_From_2025.pdf
Size:
786.94 KB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: