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  4. Getting to the one: Prioritizing an idea set using
    preference-based decision-specific heuristics
Details

Getting to the one: Prioritizing an idea set using preference-based decision-specific heuristics

Journal
Journal of Small Business Management
Type
journal article
Date Issued
2022-06-30
Author(s)
Clark, Daniel
;
Tietz, Matthias  
;
Kumar, Maya
DOI
10.1080/00472778.2022.2082454
Research Team
https://www.alexandria.unisg.ch/persons/9249
Abstract
We propose and test a process where potential entrepreneurs (PEs) prioritize a venture idea consideration set using preference-based decision-specific heuristics to assess idea feasibility and desirability. We test our hypotheses through two studies with PEs. The first experiment shows that prioritization occurs, with 113 of 122 PEs voluntarily changing a randomized list of their ideated ventures into a rank-ordered priority list of potential opportunities. Second, we employ a novel “equivocal forced-choice” conjoint design with 250 PEs. We find empirical support that PEs prioritize via relative preferences for experience-based knowledge, strong social ties, and low risk/low reward venture ideas. We contribute to the entrepreneurship literature by theorizing and providing evidence of a prioritization stage for multiple idea sets before evaluation. Further, we demonstrate the influence of individual and social network factors on prioritization and expand our understanding of how PEs conceptualize risk in venturing.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Taylor and Francis
Publisher place
Journal of Small Business Management
Volume
forthcoming
Official URL
https://doi.org/10.1080/00472778.2022.2082454
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/108558
Subject(s)

business studies

Division(s)

SGI - St.Gallen Insti...

Eprints ID
266587
File(s)
Thumbnail Image
Name

Clark, Tietz, Kumar, 2022, JSBM, Getting to the one Prioritizing an idea set using preference based decision specific heuristics.pdf

Size

1.23 MB

Format

Adobe PDF

Checksum (MD5)

4dc01130ae12f5c675edd53425c52c05

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