TY - JOUR
T1 - The IKEA effect in collective problem-solving
T2 - When individuals prioritize their own solutions
AU - Vuculescu, Oana
AU - Beretta, Michela
AU - Bergenholtz, Carsten
N1 - Publisher Copyright:
© 2020 John Wiley & Sons Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3
Y1 - 2021/3
N2 - To improve problem-solving performance, individuals can rely on social learning. This approach is constrained by an individual's social network, which influences the efficiency of the problem-solving process. To date, research disagrees on what kind of network structure is preferable, providing support for efficient network structures, as well as for inefficient networks. However, studies implicitly assume that solvers always imitate superior solutions, an assumption that lacks empirical grounding. We propose a simple derivation of an existing simulation framework by incorporating a known cognitive bias (‘IKEA effect’), whereby individuals are assumed to prioritize individual information. This effect allows inefficiencies to be embodied at the individual microlevel, reducing the need for inefficiencies at the structural macrolevel. Simulation results explain discrepancies in previous results, illustrating how more realistic microlevel assumptions substantially impact macrolevel outcomes.
AB - To improve problem-solving performance, individuals can rely on social learning. This approach is constrained by an individual's social network, which influences the efficiency of the problem-solving process. To date, research disagrees on what kind of network structure is preferable, providing support for efficient network structures, as well as for inefficient networks. However, studies implicitly assume that solvers always imitate superior solutions, an assumption that lacks empirical grounding. We propose a simple derivation of an existing simulation framework by incorporating a known cognitive bias (‘IKEA effect’), whereby individuals are assumed to prioritize individual information. This effect allows inefficiencies to be embodied at the individual microlevel, reducing the need for inefficiencies at the structural macrolevel. Simulation results explain discrepancies in previous results, illustrating how more realistic microlevel assumptions substantially impact macrolevel outcomes.
KW - agent-based model
KW - behavioural strategy
KW - exploration and exploitation
KW - NK models
KW - social networks
UR - http://www.scopus.com/inward/record.url?scp=85096939077&partnerID=8YFLogxK
U2 - 10.1111/caim.12416
DO - 10.1111/caim.12416
M3 - Journal article
AN - SCOPUS:85096939077
SN - 0963-1690
VL - 30
SP - 116
EP - 128
JO - Creativity and Innovation Management
JF - Creativity and Innovation Management
IS - 1
ER -