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References (52)
-
R. Glass (2007)
What's with This Blog Thing?IEEE Softw., 24
-
D. Hand (1998)
Data Mining: Statistics and More?The American Statistician, 52
-
R. Herschel, Nory Jones (2005)
Knowledge management and business intelligence: the importance of integration -
(2007)
Data mining as a service: the prediction is not in the box -
D. Loshin (2003)
Business Intelligence: The Savvy Manager's Guide -
Ming-Chang Lee, To Chang (2007)
Linking knowledge management and innovation management in e-businessInternational Journal of Innovation and Learning, 4
-
10.1016/B978-155860916-7/50005-1
-
Hsi-Peng Lu, Kuo-Lun Hsiao (2007)
Understanding intention to continuously share information on weblogsInternet Res., 17
-
(2006)
Technology isn’t always the (or even a) solution -
R. Brachman, T. Khabaza, W. Klösgen, G. Piatetsky-Shapiro, Evangelos Simoudis (1996)
Mining business databasesCommun. ACM, 39
-
Shouhong Wang, Godwin Ariguzo (2004)
Knowledge management through the development of information schemaInf. Manag., 41
-
C. Cook, M. Cook
The Convergence of Knowledge Management and Business Intelligence -
Hamid Rastegari, S. Shamsuddin (2009)
Review of Artificial Immune System in Web Personalization2009 International Conference of Soft Computing and Pattern Recognition
-
S. Smoliar (2007)
The poetics of knowledge sharing: putting Aristotle to work in the enterpriseInternational Journal of Innovation and Learning, 4
-
Robert Buckman (2004)
Building a Knowledge-Driven Organization -
Shuenn-Ren Cheng, Binshan Lin, B. Hsu, M. Shu (2009)
Fault-tree analysis for liquefied natural gas terminal emergency shutdown systemExpert Syst. Appl., 36
-
E. Paiva, C. Gonçalo (2008)
Organisational knowledge and industry dynamism: an empirical analysisInternational Journal of Innovation and Learning, 5
-
(2006)
Chatting to customers at Southwest -
W. Zaghloul, Sang Lee, S. Trimi (2009)
Text classification: neural networks vs support vector machinesInd. Manag. Data Syst., 109
-
I. Nonaka (1994)
A Dynamic Theory of Organizational Knowledge CreationOrganization Science, 5
-
S. Ramachandran, S. Chong, Binshan Lin (2008)
Perceived importance and effectiveness of KM performance outcomes: perspective of institutions of higher learningInternational Journal of Innovation and Learning, 5
-
David Feng, Edward Chen (2007)
Firm performance effects in relations to the implementation and use of knowledge management systemsInternational Journal of Innovation and Learning, 4
-
John Wang (2008)
Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes) -
(2004)
BI for the masses -
Jen-Her Wu, Yi-Cheng Chen, Jack Chang, Binshan Lin (2007)
Closing off the knowledge gaps in IS educationInternational Journal of Innovation and Learning, 4
-
Mykola Pechenizkiy, S. Puuronen, A. Tsymbal (2005)
Why Data Mining Research Does Not Contribute to Business ? -
Alan Smith (2007)
Collaborative commerce through Web-Based Information Integration technologiesInternational Journal of Innovation and Learning, 4
-
Szu-Yuan Sun, Yue-Yang Chen (2008)
Consolidating the strategic alignment model in knowledge managementInternational Journal of Innovation and Learning, 5
-
U. Fayyad, G. Piatetsky-Shapiro, Padhraic Smyth (1996)
The KDD process for extracting useful knowledge from volumes of dataCommun. ACM, 39
-
Kaiji Liao, Junjie Lu, Yan-Chi Yi (2007)
Research on humanised web-based learning modelInternational Journal of Innovation and Learning, 4
-
(1976)
Administrative Behavior, 3rd ed -
John Heinrichs, Jeen-Su Lim (2003)
Integrating web-based data mining tools with business models for knowledge managementDecis. Support Syst., 35
-
10.1016/B978-012372499-1/50004-1
-
(2005)
A Technologic Analysis of Symbolic Exchange on the New News Medium -
W. Cody, J. Kreulen, Vikas Krishna, W. Spangler (2002)
The integration of business intelligence and knowledge managementIBM Syst. J., 41
-
Xianjin Zha, Feng Yang (2009)
Research on the Acquirement of Enterprise Risk Competitive Intelligence Based on Data Mining2009 5th International Conference on Wireless Communications, Networking and Mobile Computing
-
A. Marwick (2001)
Knowledge management technologyIBM Syst. J., 40
-
(2006)
KM meets business intelligence: merging knowledge and information at Intel -
D. Loshin (2003)
Business intelligence : the savvy manager's guide, getting onboard with emerging IT -
I. Nonaka, H. Takeuchi (1995)
The Knowledge-Creating Company: How -
Xindong Wu, Philip Yu, G. Piatetsky-Shapiro (2003)
Data Mining: How Research Meets Practical Development?Knowledge and Information Systems, 5
-
Sherry Chen, Xiaohui Liu (2005)
Data mining from 1994 to 2004: an application-orientated reviewInt. J. Bus. Intell. Data Min., 1
-
John Wang (2005)
Encyclopedia of Data Warehousing and Mining -
E. Ziegel (2001)
Mastering Data MiningTechnometrics, 43
-
K. Wiig (1999)
What future knowledge management users may expectJ. Knowl. Manag., 3
-
10.1177/0002764205280922
-
(2008)
Transform your organization into the next-generation knowledge enterprise -
N. Lavrač, H. Motoda, Tom Fawcett, R. Holte, P. Langley, P. Adriaans (2004)
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem SolvingMachine Learning, 57
-
Y. Malhotra (2004)
Why Knowledge Management Systems Fail: Enablers and Constraints of Knowledge Management in Human Enterprises -
K. Foley
Knowledge management key to collaboration -
John Wang, Xiaohua Hu, Dan Zhu (2007)
Diminishing downsides of Data MiningInt. J. Bus. Intell. Data Min., 2
-
Steve Williams, Nancy Williams (2006)
The Profit Impact of Business Intelligence
- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 0263-5577
- DOI
- 10.1108/02635570810876750
- Publisher site
- See Article on Publisher Site
Abstract
Purpose – Data mining (DM) has been considered to be a tool of business intelligence (BI) for knowledge discovery. Recent discussions in this field state that DM does not contribute to business in a large‐scale. The purpose of this paper is to discuss the importance of business insiders in the process of knowledge development to make DM more relevant to business. Design/methodology/approach – This paper proposes a blog‐based model of knowledge sharing system to support the DM process for effective BI. Findings – Through an illustrative case study, the paper has demonstrated the usefulness of the model of knowledge sharing system for DM in the dynamic transformation of explicit and tacit knowledge for BI. DM can be an effective BI tool only when business insiders are involved and organizational knowledge sharing is implemented. Practical implications – The structure of blog‐based knowledge sharing systems for DM process can be practically applied to enterprises for BI. Originality/value – The paper suggests that any significant DM process in the BI context must involve data miner centered DM cycle and business insider centered knowledge development cycle.
Journal
Industrial Management & Data Systems – Emerald Publishing
Published: May 23, 2008
Keywords: Data mining; Business intelligence; Knowledge management; Knowledge sharing; Blogs