IDEAS home Printed from
MyIDEAS: Login to save this book chapter or follow this series

Using Sustainable Competitive Advantages to Measure Technological Opportunities

  • Josu Takala

    (University of Vaasa, Finland)

  • Matti Muhos

    (University of Vaasa, Finland)

  • Sara Tilabi

    (University of Vaasa, Finland)

  • Mehmet Serif TAS

    (University of Vaasa, Finland)

  • Bingli Yan

    (University of Vaasa, Finland)

Registered author(s):

    Purpose: This paper tries to find operative competitive advantage. The results of this paper help small and medium size enterprises (SMEs) which are striving to export. In fact, this paper introduces a new technique which applies critical factor analysis, risk and opportunities analysis to measure and propose resource allocation for companies in couple of next years. Research questions: In this paper two questions are answered: 1. How to evaluate Knowledge and Technology (K/T) effect on operative Sustainable Competitive Advantages (SCA)?. 2. How the results from calculation Critical Factor Indexes (CFIs), SCA level and K/T are evaluated? Design/Methodology/approach: This research is based on 7 case studies from Oulu South region of Finland. The cases were selected from manufacturing industry including cases focusing on manufacturing of wood product, machinery and equipment, and instruments and appliances. In this research paper, the effect of technology and knowledge on SCA risk level is investigated. In other words, here this question is answered: what would be the effect of T/K calculation on (Balanced) Critical Factor Index changes. Findings: The effect of Knowledge/Technology(K/T) on (Balanced) Critical Factor Index changes depending on the proportions allocated among the different technological levels (Basic, Core or Spearhead) for each attribute separately. Therefore, the effect of K/T may be analyzed by taking the dominating technology and the resource allocation into consideration for each attribute respectively. Research limitations/implications: in this research paper, 7 case studies are investigated. For 6 of them, at least 2 respondents are interviewed. However in one case, there is only one respondent. So in this case, the calculation of CFI factor is not possible. Moreover, as the number of respondents of each case is not big, so it is not possible to eliminate the effect of standard deviation in calculation of CFIs factor. Practical implications: This research helps firms to take balance in resource allocation for each attribute in changing environments on the basis of different level of technology (Basic, Core or Spearhead).

    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:
    File Function: full text
    Download Restriction: no

    in new window

    This chapter was published in: Josu Takala & Matti Muhos & Sara Tilabi & Mehmet Serif TAS & Bingli Yan , , pages S2_142-163, 2013.
    This item is provided by ToKnowPress in its series Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management with number s2_142-163.
    Handle: RePEc:tkp:tiim13:s2_142-163
    Contact details of provider: Web page:

    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. Kraaijenbrink, Jeroen & Spender, JC & Groen, Aard, 2009. "The resource-based view: A review and assessment of its critiques," MPRA Paper 21442, University Library of Munich, Germany.
    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:tkp:tiim13:s2_142-163. 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: (Nada Trunk Širca)

    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.