Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
In times of interconnected and digitalized supply chains (SCs), managing knowledge risks is challenging. As sharing data is associated to the risk of unintentional disclosure of competitive knowledge, SC partners must balance knowledge sharing and protection. However, knowledge risks can inhibit knowledge sharing and therefore harm the SC management as well as desired innovation. To address this problem, data anonymization can be a solution. Further, decision support how to use the data anonymization on data sets seems necessary. For this, an already developed data anonymization tool was used as basis for a vignette study with 1.000 participants, to investigate the effect of a decision support, in form of a tradeoff visualization, on knowledge sharing. The results showed that having an anonymization tool in place does increase knowledge sharing if also decision support is provided. This helps in making an individual decision easy and transparent, and, despite a high perception of risk, there is willingness to share data and it is also considered to be beneficial.
Recommended Citation
Zeiringer, Johannes Paul; Fleiß, Jürgen; and Thalmann, Stefan, "Data Anonymization as Instrument to manage Knowledge Risks in Supply Chains" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/ks/security/2
Data Anonymization as Instrument to manage Knowledge Risks in Supply Chains
Hilton Hawaiian Village, Honolulu, Hawaii
In times of interconnected and digitalized supply chains (SCs), managing knowledge risks is challenging. As sharing data is associated to the risk of unintentional disclosure of competitive knowledge, SC partners must balance knowledge sharing and protection. However, knowledge risks can inhibit knowledge sharing and therefore harm the SC management as well as desired innovation. To address this problem, data anonymization can be a solution. Further, decision support how to use the data anonymization on data sets seems necessary. For this, an already developed data anonymization tool was used as basis for a vignette study with 1.000 participants, to investigate the effect of a decision support, in form of a tradeoff visualization, on knowledge sharing. The results showed that having an anonymization tool in place does increase knowledge sharing if also decision support is provided. This helps in making an individual decision easy and transparent, and, despite a high perception of risk, there is willingness to share data and it is also considered to be beneficial.
https://aisel.aisnet.org/hicss-57/ks/security/2