A case analysis of embryonic data mining success. Issue 2 (April 2015)

• Record Type: Journal Article
• Authors: Bole, Uroš; Popovič, Aleš; Žabkar, Jure; Papa, Gregor; Jaklič, Jurij
• Is Part Of: International journal of information management. Volume 35:Issue 2(2015:Apr.)
• Page Start: 253
• Page End: 259
• Publication Date: 2015-04
• Subjects: Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2014.12.001
• Languages: English
• ISSNs: 0268-4012

Abstract

<abstract abstract-type="author" id="abs0005"> <title id="sect0005">Abstract</title> <sec> <p id="spar0005">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.</p> </sec> </abstract>