Abstract
Today, business processes heavily depend on IT, so that business results are affected by the quality of supporting IT services. To gauge the quality of service from a business point of view, we need to consider the service incidents that occur over a reference period and evaluate the effect of each service incident individually. In this work, we address this problem by developing a procedure to monetarily quantify the negative impact of single service incidents on the service customer business.
We first review related literature to identify approaches to quantifying the negative consequences associated with a service incident. Based on our findings, we propose a simulation-based procedure for estimating the monetary impact. Contrary to existing approaches, we first apply business process simulation as a formal analysis technique to determine the effects of single service incidents on process performance. Then, the impact on process performance is translated into its monetary equivalent.
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References
Sauvé, J., Moura, A., Sampaio, M., Jornada, J., Radziuk, E.: An introductory overview and survey of business-driven IT management. In: 1st IEEE/IFIP International Workshop on Business-Driven IT Management, Vancouver, pp. 1–10 (2006)
OGC: IT infrastructure library (ITIL): Service operation. The Stationary Office (TSO), London (2007)
Kieninger, A., Satzger, G., Straeten, D., Schmitz, B., Baltadzhiev, D.: Business Cost Budgets: A Methodology to Incorporate Business Impact into Service Level Agreements. International Journal of Service Science, Management, Engineering, and Technology 3(3), 49–64 (2012)
Franke, U.: Optimal IT service availability: Shorter outages, or fewer? IEEE Transactions on Network and Service Management 9(1), 22–33 (2012)
Kieninger, A., Straeten, D., Kimbrough, S., Schmitz, B., Satzger, G.: Leveraging Service Incident Analytics to Determine Cost-Optimal Service Offers. In: 11th International Conference on Wirtschaftsinformatik. AIS, Leipzig (forthcoming, 2013)
Webster, J., Watson, T.: Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly 26(2), xiii–xxiii (2002)
Wiedemann, J.: IT-Notfallvorsorge im betrieblichen Risikomanagement: Entwicklung eines Gestaltungsmodells unter Berücksichtigung ökonomischer Aspekte am Beispiel einer TK-Unternehmung. Ph. D. thesis, Bochum (2008)
Suh, B., Han, I.: The IS risk analysis based on a business model. Information and Management 41(2), 149–158 (2003)
Moura, A., Sauvé, J., Jornada, J., Radziuk, E.: A quantitative approach to IT investment allocation to improve business results. In: 7th IEEE International Workshop on Policies for Distributed Systems and Networks, pp. 87–95. IEEE Computer Society, London (2006)
Jin, L.-J., Machiraju, V., Sahai, A.: Analysis on service level agreement of web services. Technical report, HP Laboratories (2002)
Jakoubi, S., Tjoa, S., Goluch, S., Kitzler, G.: A formal approach towards risk-aware service level analysis and planning. In: International Conference on Availability, Reliability, and Security, pp. 180–187. IEEE Computer Society, Krakow (2010)
Patterson, D.: A simple way to estimate the cost of downtime. In: 16th USENIX Conference on System Administration, pp. 185–188. ACM, Berkeley (2002)
Dübendorfer, T., Wagner, A., Plattner, B.: An economic damage model for large-scale internet attacks. In: 13th IEEE International Workshop on Enabling Technologies: Infrastructures for Collaborative Enterprises, pp. 223–228. IEEE Computer Society, Modena (2004)
van Hee, K.M., Reijers, H.A.: Using Formal Analysis Techniques in Business Process Redesign. In: van der Aalst, W.M.P., Desel, J., Oberweis, A. (eds.) BPM 2000. LNCS, vol. 1806, pp. 142–160. Springer, Heidelberg (2000)
Tumay, K.: Business process simulation. In: 28th Winter simulation conference, pp. 55–60. IEEE Computer Society Press, Crystal City (1995)
Schwalbe, K.: Information technology project management. Thomson Course Technology, Cambridge (2006)
Hlupic, V., Robinson, S.: Business process modelling and analysis using discrete-event simulation. In: 30th Winter Simulation Conference, pp. 1363–1370. IEEE Computer Society Press, Los Alamitos (1998)
Kelton, W., Sadowski, R., Sturrock, D.: Simulation with Arena. McGraw-Hill Higher Education, Boston (2004)
Rosenkranz, F.: Geschäftsprozesse: Modell- und computergestützte Planung. Springer, Berlin (2006)
Greasley, A.: Using business process simulation within a business process reengineering approach. Business Process Management Journal 9(4), 408–420 (2003)
Gaver Jr., D.P.: A waiting line with interrupted service, including priorities. Journal of the Royal Statistical Society 24(1), 73–90 (1962)
Banks, J.: Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. Wiley, New York (1998)
Pang, G., Whitt, W.: Service interruptions in large-scale service systems. Management Science 55(9), 1499–1512 (2009)
Bartholdi, J., Hackman, S.: Warehouse & distribution science: Release 0.95, http://www.warehouse-science.com
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Kieninger, A., Berghoff, F., Fromm, H., Satzger, G. (2013). Simulation-Based Quantification of Business Impacts Caused by Service Incidents. In: Falcão e Cunha, J., Snene, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2013. Lecture Notes in Business Information Processing, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36356-6_13
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DOI: https://doi.org/10.1007/978-3-642-36356-6_13
Publisher Name: Springer, Berlin, Heidelberg
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