Mechanistic Explanations and Deliberate Misrepresentations
Abstract
The philosophy of mechanisms has developed rapidly during the last 30 years. As mechanisms-based explanations (MBEs) are often seen as an alternative to nomological, law-based explanations, MBEs could be relevant in IS. We begin by offering a short history of mechanistic philosophy and set out to clarify the contemporary landscape. We then suggest that mechanistic models provide an alternative to variance and process models in IS. Finally, we highlight how MBEs typically contain deliberate misrepresentations. Although MBEs have recently been advocated as critical realist (CR) accounts in IS, idealizations (deliberate misrepresentations) seem to violate some fundamental tenets of CR and research method principles for CR. Idealizations in MBEs, therefore, may risk being regarded as flawed in IS. If it turns out that CR cannot account for idealizations, naturalism can, and it does so without extra-philosophical baggage.
Main Authors
Format
Conferences
Conference paper
Published
2020
Series
Subjects
Publication in research information system
Publisher
University of Hawai'i at Manoa
Original source
http://hdl.handle.net/10125/64441
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202001101122Käytä tätä linkitykseen.
Parent publication ISBN
978-0-9981331-3-3
Review status
Peer reviewed
ISSN
1530-1605
DOI
https://doi.org/10.24251/HICSS.2020.699
Conference
Hawaii International Conference on System Sciences
Language
English
Published in
Proceedings of the Annual Hawaii International Conference on System Sciences
Is part of publication
Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS 2020)
Citation
- Siponen, M., Klaavuniemi, T., & Nathan, M. (2020). Mechanistic Explanations and Deliberate Misrepresentations. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS 2020) (pp. 5695-5704). University of Hawai'i at Manoa. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2020.699
Copyright© The Authors, 2020