Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Data analytics plays a key role in promoting and implementing sustainable development in business. Thanks to advanced data analysis techniques, enterprises can make more informed decisions, optimize their operations and achieve sustainable development goals. Due to the complex nature of the issue of enterprise sustainability, a particularly useful class of data analysis methods are multi-criteria decision making methods (MDCM). In order to indicate the usefulness of this approach, a bibliometric analysis was carried out in the article in the period 2007-2024. Thematic maps were developed and analyzed, and the thematic evolution was analyzed. The results of the analysis indicated the AHP, ANP and TOPSIS methods as the leading MCDM methods in the implementation of sustainable business development. It also identified the increasing importance of fuzzy modifications of these methods proposed to account for uncertainty in business decision making.
Recommended Citation
Jefmański, Bartłomiej; Kusterka-Jefmańska, Marta; Gross-Gołacka, Elwira; and Błoński, Krzysztof, "Data Analytics based on MCDM Methods for Business Sustainability – What's Behind and What Lies Ahead?" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 4.
https://aisel.aisnet.org/hicss-58/os/data_analytics/4
Data Analytics based on MCDM Methods for Business Sustainability – What's Behind and What Lies Ahead?
Hilton Waikoloa Village, Hawaii
Data analytics plays a key role in promoting and implementing sustainable development in business. Thanks to advanced data analysis techniques, enterprises can make more informed decisions, optimize their operations and achieve sustainable development goals. Due to the complex nature of the issue of enterprise sustainability, a particularly useful class of data analysis methods are multi-criteria decision making methods (MDCM). In order to indicate the usefulness of this approach, a bibliometric analysis was carried out in the article in the period 2007-2024. Thematic maps were developed and analyzed, and the thematic evolution was analyzed. The results of the analysis indicated the AHP, ANP and TOPSIS methods as the leading MCDM methods in the implementation of sustainable business development. It also identified the increasing importance of fuzzy modifications of these methods proposed to account for uncertainty in business decision making.
https://aisel.aisnet.org/hicss-58/os/data_analytics/4