A multi-criteria agency model with incomplete preference information

Vetschera, Rudolf

doi:10.1016/s0377-2217(99)00286-6

Cited by 9 publications

(2 citation statements)

References 26 publications

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“…For decision-makers and managers, the award of a prize entails reaffirmation before shareholders that the decisions made have been appropriate (agency conflicts avoidance (Vetschera, 2000)); and for the firm itself, it is a way to convey differentiation to the market (information asymmetries reduction (Akerlof, 1970)). …”

Section: Introductionmentioning

confidence: 99%

Communicating excellence in innovation

Nicolau

Santa-María

2013

Economics Letters

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Section: Introductionmentioning

confidence: 99%

Communicating excellence in innovation

Nicolau

Santa-María

2013

Economics Letters

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“…A negotiation support system advising one negotiator could use the information collected so far about the opponent's preferences to predict decisions of the opponent, like the acceptability of an offer that the negotiator considers to make. By a suitable partitioning of the remaining parameter set S, similar to the approach proposed in (Vetschera, 2000), one could calculate probabilities that the opponent prefers one offer over another, or the probability that a certain offer is optimal for the opponent. This information could also be used to optimize the offers of a negotiator so that more can be learned from the opponent's responses (Vetschera, 2004).…”

Section: Discussionmentioning

confidence: 99%

Learning about preferences in electronic negotiations – A volume-based measurement method

Vetschera

2009

European Journal of Operational Research

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Multicriteria Methods for Group Decision Processes: An Overview

Salo

Hämäläinen

Lahtinen

2021

Handbook of Group Decision and Negotiation

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Important decisions are often taken by groups of decision-makers who need to choose among several alternatives in view of multiple objectives, in recognition of the interests of stakeholders. Such decision problems can be supported with the methods and processes of multicriteria decision analysis (MCDA) which foster collaboration, lend structure to the decision process, and help in managing problem complexity. In this chapter, we examine rationales for using MCDA methods in group decision processes, outline typical phases of these processes, summarize widely used MCDA methods and discuss some of their recent methodological extensions. We also provide guidelines for the design and implementation of MCDA-assisted group decision processes, based on an examination of behavioral factors and a structured review of selected case studies. We conclude with an outlook for the future in light of recent developments and trends.

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A multi-criteria agency model with incomplete preference information

Cited by 9 publications

References 26 publications

Communicating excellence in innovation

Communicating excellence in innovation

Learning about preferences in electronic negotiations – A volume-based measurement method

Multicriteria Methods for Group Decision Processes: An Overview

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