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Selecting location for a new business unit in ICT industry

Author

Listed:
  • Sanja Marinkoviæ

    (University of Belgrade, Faculty of organizational sciences, Jove Ilica 154, 11000 Belgrade)

  • Ilija Nikoliæ

    (University of Belgrade, Faculty of organizational sciences, Jove Ilica 154, 11000 Belgrade)

  • Jovana Rakiæeviæ

    (University of Belgrade, Faculty of organizational sciences, Jove Ilica 154, 11000 Belgrade)

Abstract

Location theory is studying the impact of location on any economic activity, trying to understand where operations should be settled and what should be the reason for such a decision. The aim of this paper is to discuss and prioritize the key location determinants for successful selection of an optimal location for a business unit in the ICT industry. It emphasizes the importance of this concept in ICT sector today when the digitalization and big internet revolution occurs. The initial determinants were formed based on the literature review and evaluated through two rounds of the Delphi study among experts from ICT companies in Serbia. The second goal of the study was to reach a consensus about the relative importance of the agreed determinants. According to the obtained results using the AHP decisionmaking model, the priority in selecting a location for a business unit in the ICT industry is human resource availability, second is the political and economic environment, and the third is the competition. The paper finds that political and economic strategies start to play an important role in ICT market, as governments are getting more interested in this industry. The study confirmed that due to a shortage of labour supply and fierce competition in the ICT sector, the concept of location selection is an important success factor for sustainable growth and development of ICT organizations.

Suggested Citation

  • Sanja Marinkoviæ & Ilija Nikoliæ & Jovana Rakiæeviæ, 2018. "Selecting location for a new business unit in ICT industry," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 801-825.
  • Handle: RePEc:rfe:zbefri:v:36:y:2018:i:2:p:801-825
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    References listed on IDEAS

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    1. Agrawal, Narendra M. & Khatri, Naresh & Srinivasan, R., 2012. "Managing growth: Human resource management challenges facing the Indian software industry," Journal of World Business, Elsevier, vol. 47(2), pages 159-166.
    2. Chou, Shuo-Yan & Chang, Yao-Hui & Shen, Chun-Ying, 2008. "A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes," European Journal of Operational Research, Elsevier, vol. 189(1), pages 132-145, August.
    3. Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
    4. Nick Novakowski & Barry Wellar, 2008. "Using the Delphi Technique in Normative Planning Research: Methodological Design Considerations," Environment and Planning A, , vol. 40(6), pages 1485-1500, June.
    5. Aras, Haydar & Erdoğmuş, Şenol & Koç, Eylem, 2004. "Multi-criteria selection for a wind observation station location using analytic hierarchy process," Renewable Energy, Elsevier, vol. 29(8), pages 1383-1392.
    6. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    7. Nicola Matteucci & Mary O'Mahony & Catherine Robinson & Thomas Zwick, 2005. "Productivity, Workplace Performance And Ict: Industry And Firm‐Level Evidence For Europe And The Us," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(3), pages 359-386, July.
    8. Chloé Duvivier & Mario Polèse & Philippe Apparicio, 2018. "The location of information technology-led new economy jobs in cities: office parks or cool neighbourhoods?," Regional Studies, Taylor & Francis Journals, vol. 52(6), pages 756-767, June.
    9. Narula, Rajneesh & Santangelo, Grazia D., 2009. "Location, collocation and R&D alliances in the European ICT industry," Research Policy, Elsevier, vol. 38(2), pages 393-403, March.
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    Cited by:

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    More about this item

    Keywords

    location selection; location determinants; Delphi study; AHP decisionmaking; ICT industry;
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

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