IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Characterizing international competitiveness in international business research: A MASI approach to national competitiveness

  • Cho, Dong-Sung
  • Moon, Hwy-Chang
  • Kim, Min-Young

As one of two main players in international business, countries have a great influence on competitiveness of multinational corporations (MNCs). This article introduces a MASI methodology to systematically incorporate location-specific factors as sources of competitive advantage into the realm of international business research. The MASI approach provides (1) the dual double diamond (DDD) model for measuring national competitiveness (measure); (2) the 3 × 3 framework for classifying country groups (analyze); (3) an application of business strategy models (cost versus differentiation) to the analysis of national competitiveness (simulate); (4) a series of viable strategies to enhance national competitiveness (implement). Empirical analyses with the MASI methodology of 66 countries demonstrate the validity of the DDD model, features of national competitiveness, and implications for MNCs to enhance competitive advantages.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B7CPK-4NR18JS-1/1/c43defc13157559508910c36075e7ca3
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Research in International Business and Finance.

Volume (Year): 22 (2008)
Issue (Month): 2 (June)
Pages: 175-192

as
in new window

Handle: RePEc:eee:riibaf:v:22:y:2008:i:2:p:175-192
Contact details of provider: Web page: http://www.elsevier.com/locate/ribaf

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Chang Moon, H. & Rugman, Alan M. & Verbeke, Alain, 1998. "A generalized double diamond approach to the global competitiveness of Korea and Singapore," International Business Review, Elsevier, vol. 7(2), pages 135-150, April.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:riibaf:v:22:y:2008:i:2:p:175-192. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.