Proposing a decision model for privatization of newsprint paper industry by applying ANP
Majid Azizi and
Charles Ray
Cogent Business & Management, 2016, vol. 3, issue 1, 1197088
Abstract:
This study proposes a decision model for privatization of newsprint paper industry. Newsprint paper has very demanding market requirements, ones that must be adapted in quality and quantity with consumers’ media preferences. In Iran, there is one newsprint paper producer that supplies 70% of domestic use. Privatization of this producer will enable increased production and reduce the necessity of imported newsprint. Four possibilities are examined as possible solutions: Encouragement for investment; Reformation of rules and regulation; Reformation of firms’ structure; and Liberalization of prices. The Analytical Network Process was used to synthesize and analyze the model. A value-weighted competency model was calculated with the influence of external factors on the competency model. Paired comparison matrices associated with the degree of importance of each of the competencies were achieved. Finally, subsets of competencies’ weighted values and their suboptions were identified through combination of the competencies and the best solution was obtained.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2016.1197088 (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:oabmxx:v:3:y:2016:i:1:p:1197088
Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20
DOI: 10.1080/23311975.2016.1197088
Access Statistics for this article
Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar
More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().