IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v23y2014i6d10.1007_s10726-013-9374-2.html
   My bibliography  Save this article

A Calibrated Group Decision Process

Author

Listed:
  • Elena Rokou

    (National Technical University of Athens)

  • Konstantinos Kirytopoulos

    (National Technical University of Athens)

Abstract

In practice most organisational decisions are made by groups that bring into the problem multiple perspectives, both complementary and contradictory. When having a group of decision makers, usually individuals’ preferences are either led to consensus or are aggregated with the use of some function like the median, the arithmetic or geometric mean. We focus in the second case, where individual’s preferences need to be aggregated. Our approach is based on the fact that when two decision makers are asked to give their preference between a pair of criteria using a specific scale, it is possible that they will give slightly different answers, even when they actually have the same opinion. This difference will not affect the case of a single decision maker, as it will be consistent throughout the whole process. However, it can affect a group decision when the values will be used as an input for the aggregation function. A novel approach is presented that enhances group decision making through a group calibration process. The proposed process adjusts individuals’ preferences based on their answers on a set of standardized questions prior to the aggregation phase. The method focuses The whole concept is applied to the group analytical network process method and it is illustrated through a telecommunications project case. The decision under examination concerns the selection of the right place for deploying a new telecom service of a multinational-based telecommunications company where a group of geographically dispersed decision makers form an ad-hoc virtual team in order to select the location for a new technical support centre.

Suggested Citation

  • Elena Rokou & Konstantinos Kirytopoulos, 2014. "A Calibrated Group Decision Process," Group Decision and Negotiation, Springer, vol. 23(6), pages 1369-1384, November.
  • Handle: RePEc:spr:grdene:v:23:y:2014:i:6:d:10.1007_s10726-013-9374-2
    DOI: 10.1007/s10726-013-9374-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-013-9374-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10726-013-9374-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, December.
    2. Saaty, Thomas L. & Shang, Jen S., 2007. "Group decision-making: Head-count versus intensity of preference," Socio-Economic Planning Sciences, Elsevier, vol. 41(1), pages 22-37, March.
    3. Aull-Hyde, Rhonda & Erdogan, Sevgi & Duke, Joshua M., 2006. "An experiment on the consistency of aggregated comparison matrices in AHP," European Journal of Operational Research, Elsevier, vol. 171(1), pages 290-295, May.
    4. Bonner, Bryan L. & Baumann, Michael R. & Dalal, Reeshad S., 2002. "The effects of member expertise on group decision-making and performance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(2), pages 719-736, July.
    5. Zeshui Xu, 2013. "Compatibility Analysis of Intuitionistic Fuzzy Preference Relations in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(3), pages 463-482, May.
    6. Donald N. Stengel, 2013. "Aggregating Incomplete Individual Ratings in Group Resource Allocation Decisions," Group Decision and Negotiation, Springer, vol. 22(2), pages 235-258, March.
    7. Lai, Vincent S. & Wong, Bo K. & Cheung, Waiman, 2002. "Group decision making in a multiple criteria environment: A case using the AHP in software selection," European Journal of Operational Research, Elsevier, vol. 137(1), pages 134-144, February.
    8. Forman, Ernest & Peniwati, Kirti, 1998. "Aggregating individual judgments and priorities with the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 108(1), pages 165-169, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Corrente, Salvatore & Greco, Salvatore & Ishizaka, Alessio, 2016. "Combining analytical hierarchy process and Choquet integral within non-additive robust ordinal regression," Omega, Elsevier, vol. 61(C), pages 2-18.
    2. Bice Cavallo & Alessio Ishizaka, 2023. "Evaluating scales for pairwise comparisons," Annals of Operations Research, Springer, vol. 325(2), pages 951-965, June.
    3. Zhibin Wu & Rong Yuan & Jiancheng Tu, 2021. "Group Decision Making with Transitive Preferences Under Ordinal and Cardinal Consistencies: An Optimization Approach," Group Decision and Negotiation, Springer, vol. 30(1), pages 221-250, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Yeu-Shiang & Chang, Wei-Chen & Li, Wei-Hao & Lin, Zu-Liang, 2013. "Aggregation of utility-based individual preferences for group decision-making," European Journal of Operational Research, Elsevier, vol. 229(2), pages 462-469.
    2. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    3. Contreras, Francisco & Hanaki, Keisuke & Aramaki, Toshiya & Connors, Stephen, 2008. "Application of analytical hierarchy process to analyze stakeholders preferences for municipal solid waste management plans, Boston, USA," Resources, Conservation & Recycling, Elsevier, vol. 52(7), pages 979-991.
    4. Ruiz-Villaverde, Alberto & Picazo-Tadeo, Andrés J. & González-Gómez, Francisco, 2015. "The ‘social choice’ of privatising urban water services: A case study of Madrid in Spain," Journal of Policy Modeling, Elsevier, vol. 37(4), pages 616-629.
    5. Pablo Aragonés‐Beltrán & Mª. Carmen González‐Cruz & Astrid León‐Camargo & Rosario Viñoles‐Cebolla, 2023. "Assessment of regional development needs according to criteria based on the Sustainable Development Goals in the Meta Region (Colombia)," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 1101-1121, April.
    6. Rabelo, Luis & Eskandari, Hamidreza & Shaalan, Tarek & Helal, Magdy, 2007. "Value chain analysis using hybrid simulation and AHP," International Journal of Production Economics, Elsevier, vol. 105(2), pages 536-547, February.
    7. Roberto Cervelló-Royo & Marina Segura & Regina García-Pérez & Baldomero Segura-García del Río, 2021. "An Analysis of Preferences in Housing Demand by Means of a Multicriteria Methodology (AHP). A More Sustainable Approach," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    8. Tamer F. Abdelmaguid & Waleed Elrashidy, 2019. "Halting decisions for gas pipeline construction projects using AHP: a case study," Operational Research, Springer, vol. 19(1), pages 179-199, March.
    9. Jerónimo Aznar & Francisco Guijarro & José Moreno-Jiménez, 2011. "Mixed valuation methods: a combined AHP-GP procedure for individual and group multicriteria agricultural valuation," Annals of Operations Research, Springer, vol. 190(1), pages 221-238, October.
    10. Ateekh Ur Rehman & Syed Hammad Mian & Usama Umer & Yusuf Siraj Usmani, 2019. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    11. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    12. Chaudhary, Pandav & Chhetri, Sachin Kumar & Joshi, Kiran Man & Shrestha, Basanta Man & Kayastha, Prabin, 2016. "Application of an Analytic Hierarchy Process (AHP) in the GIS interface for suitable fire site selection: A case study from Kathmandu Metropolitan City, Nepal," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 60-71.
    13. Mesa, Pascual & Martin-Ortega, Julia & Berbel, Julio, 2008. "Análisis multicriterio de preferencias sociales en gestión hídrica bajo la Directiva Marco del Agua," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 8(02), pages 1-22.
    14. Bernasconi, Michele & Choirat, Christine & Seri, Raffaello, 2014. "Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence," European Journal of Operational Research, Elsevier, vol. 232(3), pages 584-592.
    15. Simone Di Zio & Mara Maretti, 2014. "Acceptability of energy sources using an integration of the Delphi method and the analytic hierarchy process," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 2973-2991, November.
    16. José M. Cabello & Enrique Navarro-Jurado & Beatriz Rodríguez & Daniela Thiel-Ellul & Francisco Ruiz, 2019. "Dual weak–strong sustainability synthetic indicators using a double reference point scheme: the case of Andalucía, Spain," Operational Research, Springer, vol. 19(3), pages 757-782, September.
    17. Natalie M. Scala & Jayant Rajgopal & Luis G. Vargas & Kim LaScola Needy, 2016. "Group Decision Making with Dispersion in the Analytic Hierarchy Process," Group Decision and Negotiation, Springer, vol. 25(2), pages 355-372, March.
    18. Amelia Bilbao-Terol & Mariano Jiménez & Mar Arenas-Parra, 2016. "A group decision making model based on goal programming with fuzzy hierarchy: an application to regional forest planning," Annals of Operations Research, Springer, vol. 245(1), pages 137-162, October.
    19. Carmona-Torres, Carmen & Parra-López, Carlos & Hinojosa-Rodríguez, Ascensión & Sayadi, Samir, 2014. "Farm-level multifunctionality associated with farming techniques in olive growing: An integrated modeling approach," Agricultural Systems, Elsevier, vol. 127(C), pages 97-114.
    20. Yeh, Chung-Hsing & Chang, Yu-Hern, 2009. "Modeling subjective evaluation for fuzzy group multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 194(2), pages 464-473, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:23:y:2014:i:6:d:10.1007_s10726-013-9374-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.