Generating Shareable Statistical Databases for Business Value: Multiple Imputation with Multimodal Perturbation.

Author List: Melville, Nigel; McQuaid, Michael;
Information Systems Research, 2012, Volume 23, Issue 2, Page 559-574.
Business organizations are generating growing volumes of data about their employees, customers, and suppliers. Much of these data cannot be exploited for business value due to privacy and confidentiality concerns. National statistical agencies share sensitive data collected from individuals and businesses by modifying the data so individuals and firms cannot be identified but statistical utility is preserved. We build on this literature to develop a hybrid approach to data masking for business organizations. We demonstrate the validity of the hybrid approach, which we call multiple imputation with multimodal perturbation (MIMP), using Monte Carlo simulation and illustrate its application in a specific business context. Results of our analysis open new areas of research for information systems scholarship and new potential revenue sources for business organizations.
Keywords: Bayesian bootstrap; business value of information technology; confidentiality; data masking; data safety; data security; decision support systems; disclosure risk; Monte Carlo simulation; multimodal perturbation; multiple imputation; privacy
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#126 0.188 data database administration important dictionary organizations activities record increasingly method collection records considered perturbation requirements special level efforts administrators analyzed
#44 0.151 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various
#11 0.121 structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem
#6 0.113 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate
#239 0.105 privacy information concerns individuals personal disclosure protection concern consumers practices control data private calculus regulation risk individual legislation government sensitive
#212 0.104 business digital strategy value transformation economy technologies paper creation digitization strategies environment focus net-enabled services processes insights challenges key response
#177 0.057 decision accuracy aid aids prediction experiment effects accurate support making preferences interaction judgment hybrid perceptual strategy account context restrictiveness taking
#186 0.055 security information compliance policy organizations breach disclosure policies deterrence breaches incidents results study abuse managed isp violations based comply protection