A Framework for Forecasting Organizational Creativity and Innovation Based on Knowledge-centered Practices using Artificial Neural Networks Case Study: Selected Public Organizations in Yazd Province (in Persian)

Seyyed Habibollah Mirghafouri (), Somayeh Moravej () and Zahra Sadeqi Arani ()
Additional contact information
Seyyed Habibollah Mirghafouri: Iran
Somayeh Moravej: Iran
Zahra Sadeqi Arani: Iran

Management and Development Process Quarterly (٠صلنامه ٠رایند مدیریت و توسعه), 2013, vol. 25, issue 4, 45-68

Abstract: Nowadays, creativity and innovation have turned into key competitive advantages for organizations. They need to improve the factors that help them in developing their creative and innovative capacities in a way that can facilitate their success in competitive markets. One of the most influential factors in developing organizational creativity and innovation is knowledge management (KM), which leads to pushing organizational creativity envelope and improving innovation process in organizations through formulating appropriate mechanisms to get quicker access and movement of information. Considering this effect, this paper proposes a model as a framework to assess the level of organizational creativity and innovation using well-known Artificial Neural Networks as a powerful tool to consider non-liner interrelations among criteria. The model has five criteria as inputs, adopted from KMAT questionnaire, namely: process, leadership, culture, technology and measurement of knowledge management. As far as the output side of the model is concerned, it uses Multi-Layer Perceptron (MLP) to forecast organizational creativity, adopted from KEYS questionnaire, which indicates the number of innovations practiced in the organizations. In the end, sensitivity analysis is applied to examine the value of input variables influence on the outputs of the model. The results indicate that the "technology" has the greatest effect on organizational creativity and the "culture" has the most profound impact on organizational innovation.

Keywords: : Organizational Innovation; Organizational Creativity; Knowledge Management (KM); Artificial Neural Network (ANN); Multi-Layer Perceptron (MLP); Sensitivity Analysis (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://jmdp.ir/article-1-1342-en.html (text/html)
http://jmdp.ir/article-1-1342-fa.html (text/html)

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:auv:jijmdp:v:25:y:2013:i:4:p:45-68

Access Statistics for this article

More articles in Management and Development Process Quarterly (٠صلنامه ٠رایند مدیریت و توسعه) from Institute for Management and Planning studies Contact information at EDIRC.
Bibliographic data for series maintained by Nahid Jebeli ( this e-mail address is bad, please contact ).