Abstract
In this introduction to the book, we discuss our current motivation for modeling and optimization applications involving network-based services. Our conceptual model of service science management and engineering (SSME) as the basis for better understanding network-based services embraces the confluence of network science, computational and analytical modeling, knowledge science and decision support. We segment the contributed articles into these four categories and provide a capsule summary of each paper.
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
Barabasi, A.-L.: Linked: How everything is connected to everything else and what it means for business, science, and everyday life. Penguin Group (2002)
Bhargava, H.K., Krishnan, R., Muller, R.: Decision support on demand: Emerging electronic markets for decision technologies. Decision Support Systems 19, 193–214 (1997)
Bordetsky, A., Bourakov, E., Hutchins, S., Kemple, B.: Network aware tactical collaborative environments. In: Proceedings of 9th International Command and Control Systems and Technology Symposium, Copenhagen (2004)
Epstein, J.M.: Generative social science: Studies in agent-based computational modeling. Princeton University Press (2006)
Forrester, J.: Industrial dynamics. Productivity Press, Portland (1961)
Geoffrion, A.M.: An introduction to structured modeling. Management Science 33(5), 547–588 (1987)
Grünert, T., Sebastian, H.-J.: Planning models for long-haul operations of postal and express shipment companies. European Journal of Operational Research 122, 2 (2000)
Kimbrough, S.O., Wu, D.J., Zhong, F.: Computers play the beer game: can artificial agents manage supply chains? Decision Support Systems 33(3), 323–333 (2002)
Levitt, R.E.: Computational Modeling of Organizations Comes of Age. Journal of Computational & Mathematical Organization Theory 10(2), 127–145 (2004)
Makowski, M.: A structured modeling technology. European Journal of Operational Research 166(3), 615–648 (2005)
Miller, J.H., Page, S.E.: Complex adaptive systems: An introduction to computational models of social life. Princeton University Press (2007)
Nissen, M.: Harnessing knowledge dynamics: Principled organizational knowing & learning. IRM Press (2005)
Nonaka, I., Takeuchi, H.: The knowledge creating company. Oxford University Press, New York (1995)
Sawaragi, Y., Nakamori, Y.: Shinayakana systems approach in modeling and decision support. In: Proc. of 10th Int. Conf. on Multiple Criteria Decision Making, Taipei, Taiwan, July 19–24, vol. I, pp. 77–86 (1992)
Simon, H.: The Sciences of the Artificial , 3rd edn. MIT Press (1996)
Spohrer, J., Vargo, S., Caswell, N., Maglio, P.: The service system is the basic abstraction of service science. In: Proceedings of the 41st Hawaii International Conference on System Sciences (HICSS) (CD-ROM), Jan. 7-10, pages 10. Computer Society Press (2008)
Vargo, S.L., Lusch, R.F.: Evolving to a new dominant logic for marketing. Journal of Marketing 68, 1–17 (2004)
Wierzbicki, A.P., Nakamori, Y.: Creative space - Models of creative processes for the knowledge civilization age. Springer, Berlin (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dolk, D., Granat, J. (2012). Modeling for Decision Support in Network-Based Services. In: Dolk, D., Granat, J. (eds) Modeling for Decision Support in Network-Based Services. Lecture Notes in Business Information Processing, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27612-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-27612-5_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27611-8
Online ISBN: 978-3-642-27612-5
eBook Packages: Computer ScienceComputer Science (R0)