Collective Decisions

  • Rudolf Grünig
  • Richard Kühn


Chapter 14 deals with collective decisions. First it is explained what a collective decision means and the importance of such decisions is highlighted. Then group goal systems and group behaviour as important boundry conditions of collective decisions are described. Finally rules for making collective decisions are introduced.


Pair Comparison Collective Decision Rule System Preference Profile Goal System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Arrow K (1963) Social choice and individual values. New YorkGoogle Scholar
  2. Asch S (1955) Opinions and social pressure. Scientific American, No. 5, pp. 31–35Google Scholar
  3. Bamberg G, Coenenberg A (2002) Betriebswirtschaftliche Entscheidungslehre, 11th edn. MunichGoogle Scholar
  4. Blin J, Whinston A (1974) Fuzzy sets and social choice. J Cybern 3:28–36Google Scholar
  5. Brauchlin E (1990) Problemlösungs- und Entscheidungsmethodik, 3rd edn. BernGoogle Scholar
  6. Dellmann K, Grünig R (1999) Die Bewertung von Gesamtunternehmensstrategien mit Hilfe des Analytischen Netzwerk Prozesses resp. des Analytischen Hierarchischen Prozesses. In: Grünig R, Pasquier M (eds) Strategisches management und marketing. Bern/Stuttgart/Vienna, pp 33–56Google Scholar
  7. Eisenhardt K, Zbaracki M (1992) Strategic decision making. Strateg Manag J (special issue, Winter):17–37Google Scholar
  8. Rommelfanger H, Eickemeier S (2002) Entscheidungstheorie; Klassische Konzepte und Fuzzy-Erweiterungen. Berlin etc.Google Scholar
  9. Saaty Th (1980) The analytic hierarchy process. New YorkGoogle Scholar
  10. von Nitzsch R (2002) Entscheidungslehre: wie Menschen entscheiden und wie sie entscheiden sollten. StuttgartGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Chair of ManagementUniversity of FribourgFribourgSwitzerland
  2. 2.MarlySwitzerland

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