Perceived risk of lock-in in the front-end phase of major transportation projects
Chantal C. Cantarelli (),
David Oglethorpe and
Bert Wee
Additional contact information
Chantal C. Cantarelli: The University of Sheffield
David Oglethorpe: Cranfield University
Bert Wee: Delft University of Technology
Transportation, 2022, vol. 49, issue 2, No 14, 703-733
Abstract:
Abstract Lock-in is defined as the tendency to continue with an inefficient decision or project proposal. The front-end phase is critical to project success, yet most studies have focused on lock-in in the implementation phase. Moreover, little is known about the way in which decision-makers perceive the risk of lock-in. In this paper we identify determinants of lock-in in the front-end phase and we reveal decision-makers’ perceptions of risk of lock-in. Our findings show that risk attitudes towards lock-in vary with the level of risk aversion. However, this is not sufficiently acute to drive the level of regret needed to avoid lock-in. This implies that decision-makers do not accurately assess the risk of lock-in and as such their risk perceptions are a mediating factor in the formation of lock-in. Based on escalation of commitment, path dependency, and prospect theory, the main contribution lies in providing a more comprehensive understanding of lock-in in the front-end phase.
Keywords: Lock-in; Escalation of commitment; Path dependency; Decision-making; Risk perception; Major transportation projects (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11116-021-10191-7 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:transp:v:49:y:2022:i:2:d:10.1007_s11116-021-10191-7
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11116/PS2
DOI: 10.1007/s11116-021-10191-7
Access Statistics for this article
Transportation is currently edited by Kay W. Axhausen
More articles in Transportation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().