A new mixed approach for modelling and assessing environmental influences to value co-creation in the construction industry
Jingxiao Zhang,
Klaus Schmidt,
Haiyan Xie and
Hui Li
International Journal of Production Research, 2016, vol. 54, issue 21, 6548-6562
Abstract:
This research studies closely related environmental forces that impact the growth of a company and their respective results of value co-creation in an enterprise (VCCE). With the purpose to coordinate environmental forces and VCCE, this paper presents an innovative mixed model (BP-FA-SD method) using expert grading method, BP neural network, factor analysis and system dynamics. In this BP-FA-SD method, environmental forces are categorised into economic force, cultural force and administrative force. The VCCE value space is mainly divided into social value, symbol value and product value. This research applies an expert grading method to assess the environmental forces of the selected cases, computes the synergy condition using the BP method, and implements the cluster analysis and SD simulation with the FA and SD methods correspondingly. The results of the BP-FA-SD method indicated the positive synchronisation of the development of enterprise forces in the selected construction companies. The findings would help enterprises to find the optimal development paths with synergistic outcomes from the internal and external factors. It further provides a new scheme of the system improvement of the VCCE time-to-performance with the momentum of environmental forces. The research presents a comprehensive instrument for fundamental reconsideration of environmental forces and their influences.
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2016.1145818 (text/html)
Access to full text is restricted to subscribers.
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:taf:tprsxx:v:54:y:2016:i:21:p:6548-6562
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2016.1145818
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().