Florian Hamel
ABSTRACT
Ensuring the effectiveness and efficiency of IT is a substantial aim of IT evaluation which is part of the strategic IT management. Weighing costs and benefits of IT is per se a complex and difficult process but gets even more challenging in the context of business groups. Business groups are a collective of legally independent entities that are owned and managed by a holding or parent company respectively. The purpose of this paper is to develop a maturity model for IT evaluation on the group level as a governance instrument to analyze and evaluate the current setup as well as to identify possible areas for improvement. In this way, maturity models facilitate the evolutionary reengineering of IT functions as they allow benchmarking assessments and roadmap planning to be carried out. The development of the maturity model is based on design science research and evaluated through various expert interviews, a focus group workshop and a real-world implementation.
- Gordon, R., Hale, K., Hardcastle, J., Graham, C., Kjeldsen, P. and Shiffler, G. Forecast Alert: IT Spending, Worldwide, 2008--2014, 4Q10 Update. http://www.gartner.com/id=1512016, accessed July 14th, 2012.Google Scholar
- Shirer, M. and Murray, S. IDC Predicts 2012 Will Be the Year of Mobile and Cloud Platform Wars as IT Vendors Vie for Leadership While the Industry Redefines Itself. http://www.idc.com/getdoc.jsp?containerId=prUS23177411, accessed April 18th, 2012.Google Scholar
- McAfee, A. and Brynjolfsson, E. Investing in the IT that makes a Competitive Difference. Harvard Business Review, 86, 7/8 (2008), 98--107.Google Scholar
- Melville, N., Kraemer, K. and Gurbaxani, V. Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value. MISQ, 28, 2 (2004), 283--322. Google ScholarDigital Library
- Irani, Z. and Love, P. Evaluating Information Systems: Public and Private Sector. Butterworth-Heinemann, Oxford, 2008. Google ScholarDigital Library
- Krcmar, H. Informationsmanagement. Springer, Heidelberg, 2009. Google ScholarDigital Library
- Buchta, D., Eul, M. and Schulte-Croonenberg, H. Strategic IT-Management: Increase Value, Control Performance, Reduce Costs. Gabler, Wiesbaden, 2010. Google ScholarDigital Library
- Strecker, S. IT-Performance-Management: Zum gegenwärtigen Stand der Diskussion. Controlling, 20, 10 (2008), 513--518.Google ScholarCross Ref
- Hamel, F., Herz, T. P., Uebernickel, F. and Brenner, W. State of the Art: Managing Costs and Performance of Information Technology. In Proceedings of the Americas Conference on Infomation Systems (AMCIS) (Lima, Peru, 2010).Google Scholar
- Granovetter, M. Business Groups and Social Organizations. In N. J. Smelser and R. Swedberg: The Handbook of Economic Sociology, 2nd edn., Princeton University Press, New York, 2005.Google Scholar
- Becker, J., Knackstedt, R. and Pöppelbuß, J. Developing Maturity Models for IT Management. Business & Information Systems Engineering, 1, 3 (2009), 213--222.Google Scholar
- Fraser, P., Moultrie, J. and Gregory, M. The Use of Maturity Models/Grids as a Tool in Assessing Product Development Capability. In Proceedings of the International Engineering Management Conference (IEMC) (Cambridge, United Kingdom, 2002).Google ScholarCross Ref
- Rao, S. S., Metts, G. and Monge, C. A. M. Electronic commerce development in small and medium sized enterprises: A stage model and its implications. Business Process Management Journal, 9, 1 (2003), 11--32.Google Scholar
- Gottschalk, P. Maturity levels for interoperability in digital government. Government Information Quarterly, 26, 1 (2009), 75--81.Google ScholarCross Ref
- Gibson, C. F. and Nolan, R. L. Managing the Four Stages of EDP Growth Harvard Business Review, 52, 1 (1974), 76--88.Google Scholar
- Becker, J., Niehaves, B., Poeppelbuss, J. and Simons, A. Maturity Models in IS Research. In Proceedings of the European Conference on Information Systems (ECIS) (Pretroia, South Africa, 2010).Google Scholar
- Mettler, T., Rohner, P. and Winter, R. Towards a Classification of Maturity Models in Information Systems. In A. D'Atri, M. De Marco, A. M. Braccini and F. Cabiddu: Management of the Interconnected World, Physica-Verlag, Heidelberg, 2010.Google Scholar
- Poeppelbuss, J., Niehaves, B., Simons, A. and Becker, J. Maturity Models in Information Systems Research: Literature Search and Analysis. Communications of the Association for Information Systems, 29, 27 (2011).Google ScholarCross Ref
- De Bruin, T., Freeze, R., Kaulkarni, U. and Rosemann, M. Understanding the Main Phases of Developing a Maturity Assessement Model. In Proceedings of the Australasian Conference on Information Systems (ACIS) (Sydney, Australia, 2005).Google Scholar
- Smangs, M. The Nature of the Business Group: A Social Network Perspective. Organization, 13, 6 (2006), 889--909.Google Scholar
- Hoffmann, F. Konzernhandbuch: Recht, Steuern, Rechnungslegung, Führung, Organisation, Praxisfälle. Gabler, Wiesbaden, 1993.Google Scholar
- Hoffjan, A. and Wömpener, A. Comparative Analysis of Strategic Management Accounting in German- and English -Language General Management Accounting Textbooks. Schmalenbach Business Review, 58, 3 (2006), 234--258.Google ScholarCross Ref
- Kohli, R. and Grover, V. Business Value of IT: An Essay on Expanding Research Directions to Keep up with the Times. Journal of the Association for Information Systems, 9, 1 (2008), 23--39.Google ScholarCross Ref
- Remenyi, D., Bannister, F. and Money, A. The Effective Measurement and Management of ICT Costs and Benefits. Elsevier, Oxford, 2007.Google Scholar
- Hamel, F., Herz, T. P., Uebernickel, F. and Brenner, W. Managing Costs and Performance of Information Technology in a Group Context -- Current Challenges for Multinational Enterprises. In Proceedings of the European Conference on Information Management and Evaluation (ECIME) (Como, Italy, 2011).Google Scholar
- Hamel, F., Herz, T. P., Uebernickel, F. and Brenner, W. Managing costs and performance of IT in business groups: Towards a performance measurement model for global insurance business groups. In Proceedings of the Americas Conference on Information Systems (AMCIS) (Seattle, USA, 2012).Google Scholar
- Henver, A., Ram, S., March, S. and Park, J. Design Science in Information Systems Research. MISQ, 28, 1 (2004), 75--105. Google ScholarDigital Library
- Hevner, A. A Three Cycle View of Design Science Research. Scandinavian Journal of Information Systems, 19, 2 (2007), 87--92.Google Scholar
- Peffers, K., Tuunanen, T., Rothenberger, M. a. and Chatterjee, S. A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems, 24, 3 (2007), 45--77. Google ScholarDigital Library
- Hevner, A. and Chatterjee, S. Design Research in Information Systems: Theory and Practice. Springer, Heidelberg, 2010. Google ScholarDigital Library
- Baskerville, R. L. and Myers, M. D. Fashion Waves in Information Systems Research and Practice. MISQ, 33, 4 (2009), 647--662. Google ScholarDigital Library
- Yin, R. K. Case Study Research: Design and Methods. Sage Publications, Thousand Oaks, 2009.Google Scholar
- Vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R. and Cleven, A. Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. In Proceedings of the European Conference on Information Systems (ECIS 2009) (Verona, Italy, 2009).Google Scholar
- Vom Brocke, J. Design Principles for Reference Modeling-Reusing Information Models by Means of Aggregation, Specialization, Instantiation, and Analogy. In P. Fettke and P. Loos: Reference modeling for business systems analysis, Idea Group Inc., Hershey, 2007.Google Scholar
- Frank, U. Evaluation of Reference Models. In P. Fettke and P. Loos: Reference modeling for business systems analysis, Idea Group Inc., Hershey, 2007.Google Scholar
- Mayring, P. Qualitative Inhaltsanalyse: Grundlagen und Techniken. Beltz, Weinheim, 2008.Google Scholar
- Österle, H. Business in the Information Age: Heading for New Processes. Springer, Wiesbaden, 2010.Google Scholar
- Bullen, C. V. and Rockart, J. F. A primer on critical success factors. Center for Information System Research, Sloan School of Management, Massachussets Institute of Technology, City, 1981.Google Scholar
- Rockart, J. F. Chief executives define their own data needs. Harvard Business Review, 57, 2 (1979), 81.Google Scholar
- De Bruin, T. and Rosemann, M. Towards a business process management maturity model. In Proceedings of the European Conference on Information Systems (ECIS) (Regensburg, Germany, 2005).Google Scholar
- Otto, B., Wende, K., Schmidt, A. and Osl, P. Towards a framework for corporate data quality management. In Proceedings of the Australasian Conference on Information Systems (ACIS) (Toowoomba, 2007).Google Scholar
- Wettstein, T. and Kueng, P. A Maturity Model for Performance Measurement Systems. In C. A. Brebbia and P. Pascolo: Management Information Systems 2002: Incorporating GIS and Remote Sensing, WIT Press, Southampton, 2002.Google Scholar
- Street, K., Denver, S. and Hackos, J. The Information Process Maturity Model: A 2004 Update. Best Practices, 6, 4 (2004).Google Scholar
- Innovation Value Institute IT Capability Maturity Framework (IT-CMF). http://ivi.nuim.ie/ITCMF/understanding.shtml, accessed June 9th, 2011.Google Scholar
- IT Governance Institute Cobit 4.1. Information Systems Audit and Control Association (ISACA), Rolling Meadows, 2007. Google ScholarDigital Library
- Chamoni, P. and Gluchowski, P. Integrationstrends bei Business-Intelligence-Systemen. Wirtschaftsinformatik, 46, 2 (2004), 119--128.Google ScholarCross Ref
- April, A. and Abran, A. Software Maintenance Management: Evaluation and Continuous Improvement. John Wiley & Sons, Hoboken, 2008. Google ScholarDigital Library
Index Terms
- IT evaluation in business groups: a maturity model
Recommendations
A Simple Instrument to Measure IT-Business Alignment Maturity
The challenge of aligning Information Technology (IT) to business has often been cited as a key issue by IT executives. This paper presents a simple, flexible, and easy-to-use instrument that measures the alignment maturity between business and IT and ...
A framework for developing a domain specific business intelligence maturity model
A framework was developed for creating a domain specific BI maturity model.A case study of the framework was instantiated within a healthcare organization.The framework confirmed the need for a healthcare specific BI maturity model.The framework can be ...
Aligning Business and Information Technology through the Balanced Scorecard at a Major Canadian Financial Group: It's Status Measured with an IT BSC Maturity Model
HICSS '01: Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 8 - Volume 8
Comments