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This study proposes a novel framework that adapts the Shapley value-based feature attribution approach to the problem domain of data privacy by capturing the two crucial dimensions of data privacy\u2014disclosure risk and data utility. Our proposed framework takes a holistic view of data masking through a fair feature attribution approach based on Shapley values. Different from the existing literature that mostly focuses on the risk-utility trade-off at the dataset level, the proposed framework addresses the trade-off at the feature level. Furthermore, the proposed framework is agnostic to data masking methods, statistical and machine learning methods, and data utility and disclosure risk evaluation metrics. Experimental results show that our proposed method can effectively reduce disclosure risk while preserving data utility.<\/jats:p>","DOI":"10.25300\/misq\/2025\/18502","type":"journal-article","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T16:28:18Z","timestamp":1758212898000},"page":"145-176","source":"Crossref","is-referenced-by-count":0,"title":["Shapley Value-Based Feature Attribution for Data Masking"],"prefix":"10.25300","volume":"50","author":[{"given":"Xinxue (Shawn)","family":"Qu","sequence":"first","affiliation":[{"name":"Department of Information Technology, Analytics, and Operations, Mendoza College of Business University of Notre Dame, South Bend, IN, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francis Bilson","family":"Darku","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Analytics, and Operations, Mendoza College of Business University of Notre Dame, South Bend, IN, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Information Systems, W. P. Carey School of Business Arizona State University, Tempe, AZ, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10933","published-online":{"date-parts":[[2026,3,1]]},"reference":[{"key":"2026022713471054000_b1-06_ra_10_25300_misq_2025_18502","unstructured":"Aaser, M., & McElhaney, D. (2021, February\u20083). Harnessing the power of external data. 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