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
The opportunities for organizations to create value from data are steadily increasing. However, assessing data value to justify the required investments continues to pose challenges for many organizations. To provide a compelling rationale, data value creation use cases must be defined for the specific application context and evaluated in a comprehensive manner. Based on a comprehensive literature review, this study identifies and synthesizes relevant assessment criteria across the dimensions of desirability, feasibility, and viability. The proposed framework supports organizations in prioritizing data value creation use cases to optimize resource allocation and return on investment and provides a foundation for developing tailored decision-making tools. For researchers, this holistic overview of relevant assessment criteria from different literature streams and research areas fosters a more coherent understanding of data value creation in academia.
Recommended Citation
Kakuschke, Nick; Legner, Christine; and Jung, Reinhard, "Creating Value from Data the Right Way - A Framework for Assessing Data Value Creation Use Cases" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 3.
https://aisel.aisnet.org/hicss-58/os/data_analytics/3
Creating Value from Data the Right Way - A Framework for Assessing Data Value Creation Use Cases
Hilton Waikoloa Village, Hawaii
The opportunities for organizations to create value from data are steadily increasing. However, assessing data value to justify the required investments continues to pose challenges for many organizations. To provide a compelling rationale, data value creation use cases must be defined for the specific application context and evaluated in a comprehensive manner. Based on a comprehensive literature review, this study identifies and synthesizes relevant assessment criteria across the dimensions of desirability, feasibility, and viability. The proposed framework supports organizations in prioritizing data value creation use cases to optimize resource allocation and return on investment and provides a foundation for developing tailored decision-making tools. For researchers, this holistic overview of relevant assessment criteria from different literature streams and research areas fosters a more coherent understanding of data value creation in academia.
https://aisel.aisnet.org/hicss-58/os/data_analytics/3