A case analysis of embryonic data mining success

被引：8

作者：

Bole, Uros ^{[1
]}

Popovic, Ales ^{[2
]}

Zabkar, Jure ^{[3
]}

Papa, Gregor ^{[1
]}

Jaklic, Jurij ^{[2
]}

机构：

[1] Jozef Stefan Inst, Dept Comp Syst, SI-1000 Ljubljana, Slovenia

[2] Univ Ljubljana, Fac Econ, SI-1000 Ljubljana, Slovenia

[3] Univ Ljubljana, Fac Comp & Informat Sci, SI-1000 Ljubljana, Slovenia

来源：

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT | 2015年 / 35卷 / 02期

关键词：

Data mining; Predictive analytics; Critical success factors; Case analysis; SYSTEMS; KNOWLEDGE; SUPPORT; LESSONS;

D O I：

10.1016/j.ijinfomgt.2014.12.001

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

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. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：253 / 259

页数：7

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