Abstract
Bearing in mind the changeable and complicated needs of business environment, in this paper we examine the necessity of evolution in the traditional decision support techniques. Our aim is to intensify the need for integrated performance measurement and management, as a way to ameliorate the existing tools for decision making, which are currently based on historical data. Because of the nature of challenges and trends in the retail industry, it is considered to be an appropriate application scenario. In addition to that, a framework is proposed and a case study is described as a proof of our claim.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow mining: a survey of issues and approaches. Data & Knowledge Engineering 47, 237–267 (2003)
Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Transactions on Information Systems 23, 103–145 (2005)
Castellanos, M., Casati, F., Dayal, U., Shan, M.C.: A Comprehensive and Automated Approach to Intelligent Business Processes Execution Analysis. Int. J. Distributed and Parallel Databases 16, 239–273 (2004)
Catania, B., Maddalena, A.: Flexible Pattern Management within PSYCHO. In: Proc. of PaRMa 2006, Munich, Germany (2006)
Cumby, C., Fano, A., Ghani, R., Krema, M.: Building Intelligent Shopping Assistants Using Individual Consumer Models. In: Proc. IUI 2005, San Diego, CA, USA (2005)
Cumby, C., Fano, A., Ghani, R., Krema, M.: Predicting Customer Shopping Lists from Point of Sale Purchase Data. In: Proc. KDD 2004, Seattle, WA, USA (2004)
Gaber, M.M., Zaslavsky, A., Krishnaswamy, S.: Mining Data Streams: a review. ACM SIGMOD Record 34, 18–26 (2005)
Golab, L., Ozsu, M.T.: Issues in Data Stream Management. ACM SIGMOD Record 32, 5–14 (2003)
Golfarelli, M., Rizzi, S., Cella, I.: Beyond Data Warehousing: What’s next in Business Intelligence? In: Proc. DOLAP 2004, Washington, DC, USA (2004)
Harrington, J.H.: Business Process Improvement – The breakthrough strategy for total quality, productivity, and competitiveness. McGraw-Hill, New York (1991)
Keziere, R.: Are we there yet? Three challenges for BPM. Cutter IT Journal 18 (2005)
Kotsifakos, E., Ntoutsi, I., Theodoridis, Y.: Database Support for Data Mining Patterns. In: Bozanis, P., Houstis, E.N. (eds.) PCI 2005. LNCS, vol. 3746, pp. 14–24. Springer, Heidelberg (2005)
List, B., Machaczek, K.: Towards a Corporate Performance Measurement System. In: Proc. ACM SAC 2004, Nicosia, Cyprus (2004)
Madlberger, M.: Strategies and Business Models in Electronic Retailing: Indications from the U.S. and the UK. In: Rauterberg, M. (ed.) ICEC 2004. LNCS, vol. 3166. Springer, Heidelberg (2004)
Taylor, J.: Beyond BI: Building intelligence into your operational decisions. Fair Isaac white paper (2005)
Turban, E., Aronson, J.E.: Decision Support Systems and Intelligent Systems. Prentice Hall, Englewood Cliffs (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marketos, G., Theodoridis, Y. (2006). Measuring Performance in the Retail Industry (Position Paper). In: Eder, J., Dustdar, S. (eds) Business Process Management Workshops. BPM 2006. Lecture Notes in Computer Science, vol 4103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11837862_14
Download citation
DOI: https://doi.org/10.1007/11837862_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38444-1
Online ISBN: 978-3-540-38445-8
eBook Packages: Computer ScienceComputer Science (R0)