IDEAS home Printed from https://ideas.repec.org/a/ids/ijbglo/v7y2011i2p152-165.html
   My bibliography  Save this article

A study on the relation between manufacturing strategy, company size, country culture and product and process innovation in Europe

Author

Listed:
  • Denis A. Coelho

Abstract

With the goal of contributing to the manufacturing strategy formulation discussion within international manufacturing networks, a set of data analyses were performed with the aim of empirically supporting conceptual approaches. This article presents the results of establishing correlations between four sets of data pertaining to 14 European countries. Six inter-relations are investigated between the datasets, pertaining to manufacturing strategy, distribution of company size, product and production related innovation and measures of culture of the countries. The analyses draw on empirical data, collected independently by EU organisms and within the International Manufacturing Strategy Survey (IMSS) IV consortium, with less than three years apart in date of collection. Hofstede's (1980, 2001) measures of power distance, masculinity, individuality and uncertainty avoidance constitute the cultural measures considered. Pearson correlations resulted mostly in low levels of correlation, but considerable levels of determination were unveiled. These concern inverse correlations between rates of specific kinds of innovation in manufacturing companies and the percentage of large companies per country as well as the employment of a specific kind of manufacturing strategy. The results provide an overview of European specific dimensions of manufacturing and how they match each other, based on a recent time frame (2003 to 2005).

Suggested Citation

  • Denis A. Coelho, 2011. "A study on the relation between manufacturing strategy, company size, country culture and product and process innovation in Europe," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 7(2), pages 152-165.
    • Handle: RePEc:ids:ijbglo:v:7:y:2011:i:2:p:152-165
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=41830
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. LaBrie, Ryan C. & Steinke, Gerhard H. & Li, Xiangmin & Cazier, Joseph A., 2018. "Big data analytics sentiment: US-China reaction to data collection by business and government," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 45-55.
    2. Fu, Xiaolan & Fu, Xiaoqing (Maggie) & Ghauri, Pervez & Hou, Jun, 2022. "International collaboration and innovation: Evidence from a leading Chinese multinational enterprise," Journal of World Business, Elsevier, vol. 57(4).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijbglo:v:7:y:2011:i:2:p:152-165. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=245 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.