Abstract
Recently heightened competition resulting from market deregulation and increased regulatory compliance requirements have demanded greater accountability for decision making in engineering asset management (EAM) organisations. However, the siloed information structure and fragmented business function of conventional EAM organisations do not support the effective extraction, analysis, and provision of actionable information to improve decision-making process. In response to this, many EAM organisations turned their efforts to implementing complex Business Intelligence (BI) systems. But how to increase the likelihood of BI systems implementation success for the diverse EAM organisations with its traditionally strong and fragmented culture? This paper investigates and discusses the critical success factors (CSFs) influencing BI systems implementation in EAM organisations. Seven in-depth case studies were conducted in EAM organisations. The empirical findings show a clear trend towards multidimensional challenges involved in such resourceful and complex undertaking. The CSFs exist in various dimensions composed of organisation, process, and technology perspectives. Nevertheless, the study reveals that a more fundamental issue concerning the business needs of BI systems may, in the end, impede BI systems success. Therefore, BI stakeholders of EAM organisations are urged to apply a business-orientation approach in tackling implementation challenges and ensuring buy-in from business stakeholders.
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References
IIMM (2006) International Infrastructure Management Manual. Australia New Zealand 2nd Ed, National Asset Management Steering Group, Thames.
IIMM (2002) International Infrastructure Management Manual. Australia New Zealand 1st Ed, National Asset Management Steering Group, Thames.
Steenstrup K (2004) Asset-Intensive ERP II and EAM/CMMS MQ Criteria: Gartner Research.
Lin S, Gao J, Koronios A & Chanana V. (2007) Developing a data quality framework for asset management in engineering organisations. International Journal of Information Quality 1(1), 100-126.
Haider A. (2007) Information Systems Based Engineering Asset Management Evaluation: Operational Interpretations. Thesis. University of South Australia, Adelaide.
Woodhouse J. (2000) Key Performance Indicators, John Woodhouse Partnership, viewed 12 Feb 2008, <http://www.twpl.co.uk/confpaper_08.asp>
USDOT-FHWA December (1999) Asset Management Primer, U. S Department of Transportation, Federal Highway Administration, Office of Asset Management, FHWA Pub. No FHWA-IF-00-10.
Amadi-Echendu J, Willett R, Brown K, Lee J, Mathew J, Vyas N & Yang BS. (2007) 'What Is Engineering Asset Management?' paper presented at the 2nd World Congress on Engineering Asset Management, Harrogate, UK.
Negash S. (2004) 'Business Intelligence', Communications of the Association for Information Systems, 13, 177-195.
Moss L & Atre S. (2003) Business Intelligence Roadmap: The Complete Lifecycle for Decision-Support Applications. Boston, MA: Addison-Wesley.
Reinschmidt J & Francoise A. (2000) Business Intelligence Certification Guide, IBM, International Technical Support Organization, San Jose, CA.
Olszak C & Ziemba E. (2007) 'Approach to Building and Implementing Business Intelligence Systems', Interdisciplinary Journal of Information, Knowledge, and Management, 2, 135-148.
Gangadharan GR & Swami SN (2004), 'Business Intelligence Systems: Design and Implementation Strategies', paper presented at the 26th International Conference Information Technology Interfaces ITI.
Jagielska I, Darke P & Zagari G. (2003), 'Business Intelligence Systems for Decision Support: Concepts, Processes and Practice', paper presented at the 7th International Conference of the International Society for Decision Support Systems.
Gartner. Gartner EXP Survey of More than 1,400 CIOs Shows CIOs Must Create Leverage to Remain Relevant to the Business 2007. Retrieved May 1, 2009, from: http://www.gartner.com/it/page.jsp?id=501189
Gartner. Gartner EXP Worldwide Survey of 1,500 CIOs Shows 85 Percent of CIOs Expect "Significant Change" Over Next Three Years 2008 Retrieved May 1, 2009, from: http://www.gartner.com/it/page.jsp?id=587309
Gartner. Gartner EXP Worldwide Survey of More than 1,500 CIOs Shows IT Spending to Be Flat in 2009." Retrieved May 1, 2009, from: http://www.gartner.com/it/page.jsp?id=855612
Richardson J & Schlegel K. (2008) Magic Quadrant for Business Intelligence Platforms, Gartner Research.
Watson HJ, Fuller C & Ariyachandra T. (2004), 'Data Warehouse Governance: Best Practices at Blue Cross and Blue Shield of North Carolina', Decision Support Systems, 38(3), 435-450.
Ang J & Teo TSH. (2000), 'Management Issues in Data Warehousing: Insights from the Housing and Development Board', Decision Support Systems, 29 (1), 11-20.
Duncan NB. (1995) 'Capturing Flexibility of Information Technology Infrastructure: A Study of Resource Characteristics and Their Measure', Management Information Systems, 12(2) , 37-57.
Watson H & Haley B. (1998) 'Managerial Considerations', Communications of the ACM, 41(9), 32 - 37.
Shin B. (2003) 'An Exploratory Investigation of System Success Factors in Data Warehousing', Journal of the Association for Information Systems, 14 (1), 141-170.
Watson HJ & Haley BJ. (1997) 'Data Warehousing: A Framework and Survey of Current Practices', Journal of Data Warehousing, 2(1), 10-17.
Friedman T. (2005) Gartner Says More Than 50 Percent of Data Warehouse Projects Will Have Limited Acceptance or Will Be Failures through 2007, Gartner Research, viewed 21 Feb 2007, <http://www.gartner.com/it/page.jsp?id=492112>.
Yeoh W, Koronios A & Gao J. (2008) Managing the Implementation of Business Intelligence Systems: A Critical Success Factors Framework, International Journal of Enterprise Information Systems, 4(3), 79-94.
Miles M & Huberman AM. (1994) Qualitative Data Analysis: An Expanded Sourcebook, Thousand Oaks, CA: Sage.
Darke P, Shanks G & Broadbent M. (1998) 'Successfully Completing Case Study Research: Combining Rigour, Relevance and Pragmatism', Information Systems Journal, 8 (4), 273-289.
Yin R. (1994) Case Study Research, Design, and Methods, 2 edn, Newbury Park, CA: Sage.
Firestone W. (1993) 'Alternative Arguments for Generalizing from Data as Applied to Qualitative Research', Educational researcher, 22(4), 16-27.
LeMay R. (2006). Sydney Water signs business intelligence vendor. Retrieved 11 July 2008, from http://www.zdnet.com.au/news/software/soa/Sydney-Water-signs-business-intelligencevendor/0,130061733,139268270,00.htm
Stuart I, McCutcheon D, Handfield R, McLachlin R & Samson D. (2002) Effective Case Research in Operations Management: A Process Perspective, Operations Management, 20(5), 419-433.
Hostmann B & Buytendijk F. (2004) Management Update-Effective BI Approaches for Today’s Business World: Gartner Research.
Dresner H, Linden A, Buytendijk F & Friedman T. (2002) The Business Intelligence Competency Center: An Essential Business Strategy: Gartner Research.
Stumpf R & Teague LC. (2005) Object-Oriented Systems Analysis and Design with UML, Upper Saddle River, NJ: Prentice Hall.
Fuchs G. (2006) 'The Vital BI Maintenance Process', in Business intelligence implementation: issues and perspectives, B. Sujatha (Eds). pp. 116-123. Hyderabad, India: ICFAI University Press.
Bates AW. (2000) Chapter Ten: Avoiding the Faustian Contract and Meeting the Technology Challenge. In T. Bates (Ed.), Managing technological change. San Francisco: Jossey-Bass.
Burton B. Geishecker L. & Hostmann B. (2006) Organizational Structure: Business Intelligence and Information Management: Gartner Research
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Yeoh, W., Koronios, A., Gao, J. (2010). Ensuring Successful Business Intelligence Systems Implementation: Multiple Case Studies in Engineering Asset Management Organisations. In: Kiritsis, D., Emmanouilidis, C., Koronios, A., Mathew, J. (eds) Engineering Asset Lifecycle Management. Springer, London. https://doi.org/10.1007/978-0-85729-320-6_41
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DOI: https://doi.org/10.1007/978-0-85729-320-6_41
Publisher Name: Springer, London
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