Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7429116 | International Journal of Information Management | 2015 | 7 Pages |
Abstract
Within highly competitive business environments, data mining (DM) is viewed as a significant technology to enhance decision-making processes by transforming data into valuable and actionable information to gain competitive advantage. There appears, however, to be a dearth of empirical case studies which consider in detail the initial stages in DM management to enable apt foundation for its later successful implementation. Our research applied a multi-method strategy to determine the critical success factors of embryonic DM implementation. We propose and validate, through a series of cases, a conceptual framework to guide practitioners' adoption of DM. Our findings reveal additional issues for applied decision making in the context of DM success.
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Management Information Systems
Authors
UroÅ¡ Bole, AleÅ¡ PopoviÄ, Jure Žabkar, Gregor Papa, Jurij JakliÄ,