Dynamics of Negative Evaluations in the Information Exchange of Interactive Decision-Making Teams: Advancing the Design of Technology-Augmented GDSS

Steven D. Silver ()
Additional contact information
Steven D. Silver: California State University

Information Systems Frontiers, 2021, vol. 23, issue 6, No 15, 1642 pages

Abstract: Abstract Applications of technology that contribute to managing decision-making teams for their objectives benefit from an explicit account of microprocessing in the information exchange of team members. While negative evaluations are well recognized as a key information type in this exchange, the micro-processing that underlies its exchange has not been well defined. Negative evaluations will be proposed to differ from other information types because of their dual properties as information and affect. We propose dynamics that are implied by the duality in negative evaluations we cite and report empirical studies that test abstract generalizations on the proposed dynamics. We then give an explicit form to exchange of negative evaluations in a numerical model of information exchange and use the model in exercises that directly demonstrate the proposed properties of negative evaluations in information exchange. Finally, we review contributions that the discourse offers to the design of AI-supported GDSSs for managerial objectives in the exchange of information in ill-structured decision making and introduce architecture of a prototype GDSS that implements quality-maximizing information exchange. Directions for subsequent study are discussed.

Keywords: Team decision-making; Information exchange in teams; AI-augmented GDSSs; Ill-structured decisions; Negative evaluations in information typologies (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10796-020-10063-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:23:y:2021:i:6:d:10.1007_s10796-020-10063-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-020-10063-y

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().