Heuristic decision making in network linking

• Published in: European journal of operational research Vol. 251; no. 1; pp. 158 - 170
• Main Authors: Harmsen - van Hout, Marjolein J.W., Dellaert, Benedict G.C., Herings, P. Jean-Jacques
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 16.05.2016; Elsevier Sequoia S.A
• Subjects: Causality; Complexity; Decision analysis; Decision making models; Heuristic; Heuristic effects; Individual decision making; Joining; Laboratory experiment; Linking; Mixed logit; Network formation; Networks; Operational research; Operations research; Social networks; Studies; Tradeoff analysis; Individual decision making; Network formation; Heuristic effects; Laboratory experiment; Mixed logit
• ISSN: 0377-2217; 1872-6860
• DOI: 10.1016/j.ejor.2015.10.039

•We explore individual linking decisions in a network context by an incentivized laboratory experiment with mixed logit analysis.•The inherent complexity of this context results in two heuristic effects with substantial implications for OR models of network formation.•Individuals’ choices are systematically less guided by payoff but more by simpler heuristic decision cues.•This shift from payoff to heuristic cues is systematically stronger for social payoff than for own payoff.•The specific between-subject complexity factors value transferability and social tradeoff aggravate the former effect. Network formation among individuals constitutes an important part of many OR processes, but relatively little is known about how individuals make their linking decisions in networks. This article provides an investigation of heuristic effects in individual linking decisions for network formation in an incentivized lab-experimental setting. Our mixed logit analysis demonstrates that the inherent complexity of the network linking setting causes individuals’ choices to be systematically less guided by payoff but more guided by simpler heuristic decision cues, and that this shift is systematically stronger for social payoff than for own payoff. Furthermore, we show that the specific complexity factors value transferability and social tradeoff aggravate the former effect. These heuristic effects have important research and policy implications in areas that involve network formation.