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Argentina: recent dynamics in the software and IT services industry

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  • Barletta, Florencia
  • Pereira, Mariano
  • Yoguel, Gabriel
  • Robert, Verónica

Abstract

This article examines the impact of organizational and absorptive capacities and networking on the performance of Argentine software and IT services firms, within an evolutionary theoretical framework. The models estimated show that innovation outcomes depend on quality management, the existence of research and development (R&D) staff and on occupying intermediate positions in the network architecture. Firms' economic performance cannot be assessed using a single set of indicators: whereas productivity is explained by the qualifications of human resources and employment growth by R&D personnel, export probability is associated with obtaining certifications, adopting agile methodologies and occupying intermediate positions in the network architecture. The heterogeneity of business models suggests that it is not possible to establish a single type of relationship between innovation and performance for all firms in the industry.

Suggested Citation

  • Barletta, Florencia & Pereira, Mariano & Yoguel, Gabriel & Robert, Verónica, 2013. "Argentina: recent dynamics in the software and IT services industry," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    • Handle: RePEc:ecr:col070:36996
    Note: Includes bibliography.
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    3. Novick, Marta & Roitter, Sonia & Yoguel, Gabriel & Borello, José Antonio & Milesi, Darío, 2004. "Information and knowledge: the diffusion of information and communication technologies in the Argentine manufacturing sector," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    4. Segelod , Esbjörn & Jordan, Gary, 2002. "The Use and Importance of External Sources of Knowledge in the Software Development Process," FE rapport 2002-391, University of Gothenburg, Department of Business Administration.
    5. Gerald Silverberg & Giovanni Dosi & Luigi Orsenigo, 2000. "Innovation, Diversity and Diffusion: A Self-Organisation Model," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 14, pages 410-432, Edward Elgar Publishing.
    6. Saviotti, P. P. & Metcalfe, J. S., 1984. "A theoretical approach to the construction of technological output indicators," Research Policy, Elsevier, vol. 13(3), pages 141-151, June.
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