Paper Type
ERF
Abstract
Collective decision-making (CDM) processes used in online crowdsourcing are designed with choices such as time to decide a winner, how to choose a winner, etc. We propose a new experimental design approach called Asymmetric Response Surface Method to efficiently determine the appropriate choices for CDM, based on the objective of the CDM, for a particular crowdsourcing application. One may apply this new method to other experimental design problems as well.
Paper Number
2275
Recommended Citation
Menon, Nirup M. and Armani, Daniel, "An Efficient Experimental Design to Improve Collective Decision-Making Process" (2025). AMCIS 2025 Proceedings. 18.
https://aisel.aisnet.org/amcis2025/sig_osra/sig_osra/18
An Efficient Experimental Design to Improve Collective Decision-Making Process
Collective decision-making (CDM) processes used in online crowdsourcing are designed with choices such as time to decide a winner, how to choose a winner, etc. We propose a new experimental design approach called Asymmetric Response Surface Method to efficiently determine the appropriate choices for CDM, based on the objective of the CDM, for a particular crowdsourcing application. One may apply this new method to other experimental design problems as well.
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