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Industrial Environment Selection By Sourcing Strategy In The Case Of North African Countries

Author

Listed:
  • SIPOS Csanád

    (Department of Engineering Management, Faculty of Engineering, University of Debrecen, Debrecen, Hungary)

  • MÁTÉ Domicián

    (Department of Engineering Management, Faculty of Engineering, University of Debrecen, Debrecen, Hungary)

Abstract

As companies struggle to increase the number of customers, their strategic sourcing plays a vital role in the maintenance of their improving performance. The paper attempts to determine those macroeconomic factors (i.e. energy consumption, climate change, political stability etc.) for the international industrial companies that can contribute to the required quality and price of the goods produced in each examined countries. The indicators proposed are based on the World Bank’s competitiveness and governance pillars. In this study, the valuation of the listed factors based on automated ICTs technology. The assembly of the Robotic Process Automation (RPA) system is concentrated not only to collect the current information it is needed to compare the relevant aspects of the selected indicators but can support decision making or forecast trends for suppliers. Results clearly indicate which countries are recommended for the investments or searching of potential suppliers. The findings of this study also should make an important contribution to the field of supply management to identify future trade routes.

Suggested Citation

  • SIPOS Csanád & MÁTÉ Domicián, 2020. "Industrial Environment Selection By Sourcing Strategy In The Case Of North African Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 395-404, July.
    • Handle: RePEc:ora:journl:v:1:y:2020:i:1:p:395-404
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    File URL: http://anale.steconomiceuoradea.ro/volume/2020/n1/038.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Procurement; Sourcing strategy; RPA system; Competitiveness pillars;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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