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In Search of Creative Champions in High-Tech Spaces

Author

Listed:
  • Karima Kourtit

    (VU University Amsterdam)

  • Peter Nijkamp

    (VU University Amsterdam)

Abstract

The business performance of firms in the creative high-tech sector shows much variation. This paper examines whether the geographical location of such business firms influences the performance of these firms. The overarching analysis framework of this paper emerges from the recently developed Strategic Performance Management (SPM) concept for individual firms, which in the present study is extended with spatial meso-attributes related to the location of these firms. SPM aims to improve the firms’ competitive performance through the application of strict internal management principles. Our study thus adopts a micro-business perspective on the organizational determinants of a firm’s economic performance and its links with distinct spatial entrepreneurship conditions and general economic moderator variables. The present study focuses on both large and small and medium-sized (SME) firms, mainly operating in the creative high-tech sector in the Netherlands. The research methodology uses stepwise the following analytical tools: multivariate analysis of an extensive micro- and meso-data set on the internal performance of firms and regional covariates; Data Envelopment Analysis (DEA) and its recent extension to super-efficient DEA for mapping out in a comparative way the achievements of both regions and firms; a GIS-oriented statistical analysis to identify geographically-discriminating factors in the firms’ performance; and the design and estimation of a Structural Equations Model (SEM) for assessing the performance of the firms concerned (using what is called the ‘flying disc’ model). Our results show significant differences in the performance of large vis-à-vis SME firms that have adopted SPM, while their geographical position in the country, in general, also plays a significant role.

Suggested Citation

  • Karima Kourtit & Peter Nijkamp, 2013. "In Search of Creative Champions in High-Tech Spaces," Tinbergen Institute Discussion Papers 13-193/VIII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20130193
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    More about this item

    Keywords

    creative industries; high-tech sector; Data Envelopment Analysis (DEA); super-efficient DEA; principal component analysis; Structural Equations Model; flying disc model;

    JEL classification:

    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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