Requirements specification for supply chain controlling - a mini case study

14th Americas Conference on Information Systems, AMCIS 2008

Volumn 6, Issue , 2008, Pages 3708-3717

  Laumann, Marcus ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

Conceptual modeling; Cybernetics; Data warehousing; Decision support systems; Information management; Supply chain controlling

Indexed keywords

CONCEPTUAL MODELING; CONSUMER NEEDS; OPTIMAL DECISION MAKING; REQUIREMENTS SPECIFICATIONS; SUPPLY CHAIN PARTNERS; SUPPLY CHAIN PERFORMANCE;

ARTIFICIAL INTELLIGENCE; CYBERNETICS; DATA MINING; DATA WAREHOUSES; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; MANAGERS; SUPPLY CHAIN MANAGEMENT;

SPECIFICATIONS;

EID: 84870288741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Becker, J., Kugeler, M. and M. Rosemann, (2003). Process Management. A Guide for the Design of Business Processes. Springer Verlag, Berlin et al.
2. Beer, S. (1979). The Heart of Enterprise. John Wiley & Sons, Chichester et al.
3. Beer, S. (1985). Diagnosing the System for Organizations. John Wiley & Sons, Chichester.
4. Benbasat, I. and Zmud, R.W. (1999). Empirical Research in Information Systems: The Practice of Relevance. MIS Quarterly, 23 (1), 3-16.
5. Christopher, M. (1998). Logistics and Supply Chain Management. Strategies for Reducing Cost and Improving Service. Financial Times Professional, London.
6. Davis, R. (2001). Business Process Modelling with ARIS. A Practical Guide. Springer, London et al.
7. Hevner, A.R., March, S.T., Park, J. and Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28 (1), 75-105.
8. Holten, R. (2003). Integration von Informationssystemen. Theorie und Anwendung im Supply Chain Management. Universität Münster, Münster.
9. Holten, R.; Dreiling, A.; Becker, J. (2005): Ontology-Driven Method Engineering for Information Systems Development. In: Green, P.; Rosemann, M. (Eds.): Business Systems Analysis with Ontologies. IDEA Group Publishing, Hershey et al. 2005, pp. 174-217.
10. Inmon, W.H. (2002). Building the Data Warehouse. 3 rd. Edition. New York, Chichester, Brisbane.
11. Kimball, R. (1996). The Data Warehouse Toolkit. Practical Techniques for Building Dimensional Data Warehouses. John Wiley & Sons, New York et al.
12. Kock, N.F. and McQueen, R.J. (1996). Product Flow, Breadth and Complexity of Business Processes: An Empirircal Study of Fifteen Business Processes in Three Organisations. Business Process Re-engineering and Management Journal, 2 (2), 8-22.
13. Moody, D.L. and Kortink, M.A.R. (2000). From Enterprise Models to Dimensional Models: a Methodology for Data Warehouse and Data Mart Design. In Proceedings of the International Workshop on Design and Management of Data Warehouses, p. 5-1-5-12, Sweden, Stockholm.
14. Otto, A. (2002). Management und Controlling von Supply Chains. Ein Modell auf der Basis der Netzwerktheorie. DUV, Wiesbaden.
15. SCC (2006). Supply-Chain Operations Reference-Model. SCOR Version 8.0., Washington
16. Seuring, S. A. (2006). Supply chain controlling: summarizing recent developments in German literature. Supply Chain Management: An International Journal 11 (1), 10-14.
17. Yin, R.K. (2003). Case Study Research: Design and Methods. Sage, Thousand Oaks et al.