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Comparing Big Data Analytics Applications for Sustainability across Key Business Channels : SLR Approach
Popa, Ana-Maria (2025) Comparing Big Data Analytics Applications for Sustainability across Key Business Channels : SLR Approach.
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| Abstract: | Big data analytics are an important part of modern businesses because it can help them increase their value and competitive advantage on the market. These analytics can be integrated into many organizations to improve their operations and decrease their impact on the planet, by making their business channels more environmentally sustainable. This paper aims to find out how is big data used in supply chain, finance and management business channels to make their process more environmentally sustainable, and what big data analytics capabilities, companies can implement to reduce the decline of the environmental state of the planet while also increasing their own business performance. The presented research attempts to find out the answer by conducting a systematic literature review and also by providing a framework based on the literature that helps companies make more informed decisions about the environment. This framework contains a comparison of the business channels, focused on their feature similarities and differences. The results from the systematic literature review give a clear overview of what the uses of big data analytics are to make the channels greener, some of which are the improvement of possible insights, along with the reduction of waste production, resource utilization and costs. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science, 85 business administration, organizational science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/107336 |
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