History friendly models: retrospective and future perspectives
Gianluca Capone (),
Franco Malerba,
Richard Nelson,
Luigi Orsenigo and
Sidney Winter ()
Additional contact information
Gianluca Capone: University of Pisa
Franco Malerba: ICRIOS, Bocconi University
Eurasian Business Review, 2019, vol. 9, issue 1, No 1, 23 pages
Abstract:
Abstract Twenty years ago, we introduced the history friendly modeling approach to formally study industrial dynamics. In this paper, we look retrospectively at the results that the history friendly literature has achieved so far and what are the challenges ahead of us. We present the main principles, methods, and building blocks of the approach, and then we illustrate it through two applications. The first one investigates the impact of entry in the mainframes segment of the computer industry. The second application studies the effect of different industrial policies in uncertain technological environments.
Keywords: History friendly models; Industry evolution; Computer industry; Pharmaceutical industry; Entry; Industrial policy (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (46)
Downloads: (external link)
http://link.springer.com/10.1007/s40821-019-00121-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:eurasi:v:9:y:2019:i:1:d:10.1007_s40821-019-00121-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40821
DOI: 10.1007/s40821-019-00121-0
Access Statistics for this article
Eurasian Business Review is currently edited by Marco Vivarelli
More articles in Eurasian Business Review from Springer, Eurasia Business and Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().