A Dynamic Model of Effective Factors on Open Innovation in Manufacturing Small and Medium Sized Companies

Mohsen Shafiei Nikabadi and Amir Hakaki
Additional contact information
Mohsen Shafiei Nikabadi: Department of Industrial Management, Faculty of Economics and Management, Semnan University, Semnan, Iran
Amir Hakaki: Department of Industrial Management, Faculty of Economics and Management, Semnan University, Semnan, Iran

International Journal of System Dynamics Applications (IJSDA), 2018, vol. 7, issue 1, 1-26

Abstract: Open Innovation is a key to improve SMEs' performance in a dynamic marketplace. This article aims to present a dynamic model based on causal relationships among the most important effective factors on Open Innovation in manufacturing SMEs by using system dynamics modelling approach. To study the most important factors, the data collected by questionnaires filled by 275 experts, and analyzed by SPSS and PLS. Causal relationships among studied factors and efficacy coefficients of each factor were identified by fuzzy DEMATEL technique, the data collected from 12 experts and analyzed by MATLAB and EXCEL. Finally, the dynamic model was plotted by VENSIM. According to the results, only strategy of organization has a single loop of causality and effects on itself directly. Economic factors are the most important causal factor that has the highest influence on the other factors. Strategy of organization takes the highest effect from the system and organizational learning is in the next rank. Besides, partners are the most important effected factor and ecological issues as an effected factor has no influence on the others.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJSDA.2018010101 (application/pdf)

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:igg:jsda00:v:7:y:2018:i:1:p:1-26

Access Statistics for this article

International Journal of System Dynamics Applications (IJSDA) is currently edited by Ahmad Taher Azar

More articles in International Journal of System Dynamics Applications (IJSDA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().