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Designing Incentives for Attracting Peer Reviewers to Information System Conferences


Carvalho, Arthur; Anderson, Chad; Zavolokina, Liudmila (2024). Designing Incentives for Attracting Peer Reviewers to Information System Conferences. Communications of the Association for Information Systems, 54:Epub ahead of print.

Abstract

Information systems (IS) conferences, as venues for the introduction of new knowledge to the IS community, require effective peer review systems to evaluate submitted research for quality, validity, and originality. We argue in this paper that questionable practices and degrading review quality may arise without direct incentives beyond reviewer altruism to engage in the peer review process. In particular, we highlight potential issues with arguably common practices in some IS conferences, such as peer review invitations sent to researchers who have also submitted papers for publication consideration and the increasing number of reviews performed by graduate students. To address these issues, we suggest three solutions: 1) quid pro quo rules; 2) the use of incentive-compatible methods whose scores are linked to relevant rewards; and 3) the use of blockchain-based tokens in tandem with smart contracts and zero-knowledge proofs. We conclude by offering directions the IS community can take to further study the highlighted issues and implement the proposed solutions.

Abstract

Information systems (IS) conferences, as venues for the introduction of new knowledge to the IS community, require effective peer review systems to evaluate submitted research for quality, validity, and originality. We argue in this paper that questionable practices and degrading review quality may arise without direct incentives beyond reviewer altruism to engage in the peer review process. In particular, we highlight potential issues with arguably common practices in some IS conferences, such as peer review invitations sent to researchers who have also submitted papers for publication consideration and the increasing number of reviews performed by graduate students. To address these issues, we suggest three solutions: 1) quid pro quo rules; 2) the use of incentive-compatible methods whose scores are linked to relevant rewards; and 3) the use of blockchain-based tokens in tandem with smart contracts and zero-knowledge proofs. We conclude by offering directions the IS community can take to further study the highlighted issues and implement the proposed solutions.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:08 Research Priority Programs > Digital Society Initiative
03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2024
Deposited On:29 Apr 2024 10:18
Last Modified:30 Jun 2024 01:41
Publisher:Association for Information Systems
ISSN:1529-3181
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:https://aisel.aisnet.org/cais/vol54/iss1/33
  • Content: Accepted Version
  • Language: English