EconPapers    
Economics at your fingertips  
 

Captive offshoring drivers in the manufacturing industry: criteria and sub-criteria that influence the location choice

Fabio De Felice, Antonella Petrillo and Laura Petrillo

International Journal of Production Research, 2021, vol. 59, issue 1, 76-94

Abstract: Captive offshoring is one of the most strategic approach in complex, dynamic and competitive global supply chains. In the present research, a rigorous decision-making model to identify captive offshoring drivers, that play a role in the company strategy and limiting the subjectivity of human decisions, has been proposed. Firstly, the Delphi method has been used to investigate and to identify criteria and sub-criteria that influence the captive offshoring strategy. Then, the Fuzzy Analytic Hierarchy Process (FAHP) method has been employed to calculate the weight of importance of each criteria and sub-criteria. The purpose of this paper is to address the relevance of strategic capabilities for the operation of international manufacturing to the captive offshoring decision. A real case study on captive offshoring concerning an Italian manufacturing company has been analysed. This study adds to the limited number of studies on the identification of captive offshoring drivers and contributes to the quantitative research on this topic. From a practical perspective, the research highlights that multi-criteria decision methods are well indicated to select criteria and sub-criteria that influence the location choice. The result will help managers to make specific decisions concerning their current captive offshoring policy.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2019.1694718 (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:59:y:2021:i:1:p:76-94

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2019.1694718

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tprsxx:v:59:y:2021:i:1:p:76-94