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Development Practices of Embedded Systems: SMEs in SEE countries

Author

Listed:
  • Strugar Ivan
  • Zoroja Jovana
  • Jaković Božidar

    (Faculty of Economics and Business, University of Zagreb, Croatia)

Abstract

Background: Embedded systems are evolving in their use based on the increased trend of merging software with hardware appliances. The market for the embedded systems development is rapidly increasing and this is one of the possible new markets for software firms striving for new competitive advantage. Objectives: The goal of the paper is to explore embedded systems development practices of Croatian firms and compare them with the practices of the firms from South Eastern European (SEE) countries. Methods/Approach: The survey was conducted using the sample of SME software firms and the data on embedded systems development practices have been analysed. Practices of Croatian firms were compared with practices of other firms from SEE countries. Results: Results of the survey revealed that in comparison to their counterparts from SEE countries, Croatian firms involved in embedded systems development utilise cutting-edge technology and processes to a lower extent. Conclusions: Cutting-edge technology and processes are prerequisites for attaining the level of productivity in software production that is sufficient to ensure maintaining cost competency. However, SMEs are yet to fulfill their market potentials

Suggested Citation

  • Strugar Ivan & Zoroja Jovana & Jaković Božidar, 2014. "Development Practices of Embedded Systems: SMEs in SEE countries," Business Systems Research, Sciendo, vol. 5(1), pages 57-67, March.
  • Handle: RePEc:bit:bsrysr:v:5:y:2014:i:1:p:57-67
    DOI: 10.2478/bsrj-2014-0005
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    References listed on IDEAS

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    1. Lakka, Spyridoula & Michalakelis, Christos & Varoutas, Dimitris & Martakos, Draculis, 2013. "Competitive dynamics in the operating systems market: Modeling and policy implications," Technological Forecasting and Social Change, Elsevier, vol. 80(1), pages 88-105.
    2. Crnkovic Jakov (Yasha), 2013. "Invited Article: The Future of CRM is UX," Business Systems Research, Sciendo, vol. 4(1), pages 4-13, March.
    3. García-Villaverde, Pedro Manuel & Ruiz-Ortega, María José, 2011. "Ways to improve pioneer new ventures' performance in the ICT industry," Telecommunications Policy, Elsevier, vol. 35(1), pages 20-35, February.
    4. Aoun, Dany & Hwang, Junseok, 2008. "The effects of cash flow and size on the investment decisions of ICT firms: A dynamic approach," Information Economics and Policy, Elsevier, vol. 20(2), pages 120-134, June.
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    More about this item

    Keywords

    embedded systems; development; FP7; project; SMEs;
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