Predicting the progress trends of science and technology in Iran through a system dynamics approach
Reza Dabestabu (Department of Management and Economics, Tarbiat Modares University, Tehran, Iran), Nasim Nahavandi (Department of Industrial Engineering, Tarbiat Modares University, Theran, Iran) and Mohammad Saljoughian (Department of Management, University of Isfahan, Isfahan, Iran)
| Year of publication: |
2016
|
|---|---|
| Authors: | Dabestani, Reza ; Nahavandi, Nasim ; Saljoughian, Mohammad |
| Published in: |
Journal of modelling in management. - Bingley : Emerald Group Publishing Limited, ISSN 1746-5664, ZDB-ID 2258349-X. - Vol. 11.2016, 1, p. 116-133
|
| Subject: | Iran | Prediction | World Bank | Research and development | System dynamics (SD) | Science technology | System Dynamics | System dynamics | Technologiepolitik | Technology policy | Technischer Fortschritt | Technological change | Forschung | Research | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/JM2-04-2014-0027 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011479513