View More View Less
  • 1 University of Debrecen, Ótemető u 2-4., H-4029 Debrecen, Hungary

Abstract

This study empirically investigates the effects of the special, face to face supplier performance measurement system. Using supplier performance measurement system the supplier will have the possibility to make a self-assessment method through questionnaires according to different aspects. The customers make the same queries. After ranking from both sides, the results will be compared and confronted with the supplier. The effects on different areas and the nexus with supplier in the aftercare period will be examined in this study. The relation between the communication and reaction modes at the procurement side is deeply discussed.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • [1]

    McChrystal G. S. , Collins T., Silverman D., Fussell C. Team of teams: New rules of engagement for a complex world, Penguin, 2015.

  • [2]

    Kannan D. Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process, International Journal of Production Economics, Vol. 195, 2018, pp. 391118.

    • Search Google Scholar
    • Export Citation
  • [3]

    Dominic G. Boeing 787 Parts from around World will be swiftly integrated, Seattle Times, 11 September 2005.

  • [4]

    Boeing 787 Dreamliner global supplier https://avpasc.com/supported-aircrafts/boeing?gclid=EAIaIQobChMIvICHrKC23wIVleJ3Ch3XBgdJEAAYASAAEgWaPD_BwE (last visited 12 of September 2018).

    • Search Google Scholar
    • Export Citation
  • [5]

    Jääskeläinen A. Comparison of performance measurement in different purchasing and supply management practices, International Journal of Productivity and Performance Management, Vol. 67, No. 8, 2018, pp. 12901309.

    • Search Google Scholar
    • Export Citation
  • [6]

    van Hoek R. I. Measuring the unmeasurable - measuring and improving performance in the supply chain, Supply Chain Management: An International Journal, Vol. 3, No. 4, 1998, pp. 187192.

    • Search Google Scholar
    • Export Citation
  • [7]

    Shaw S. , Grant D. B., Mangan J. Developing environmental supply chain performance measures, Benchmarking: An International Journal, Vol. 17, No. 3, 2010, pp. 320339.

    • Search Google Scholar
    • Export Citation
  • [8]

    Gordon S. R. Supplier evaluation and performance excellence: A guide to meaningful metrics and successful results, J. Ross publishing, 2008.

    • Search Google Scholar
    • Export Citation
  • [9]

    Prahinski C. , Fan Y. Supplier evaluations: The role of communication quality, Journal of Supply Chain Management, Vol. 43, No. 3, 2007, pp. 1628.

    • Search Google Scholar
    • Export Citation
  • [10]

    Hald K. S. , Mouritsen J. The evolution of performance measurement systems in a supply chain: A longitudinal case study on the role of interorganizational factors, International Journal of Production Economics, Vol. 205, 2018, pp. 256271.

    • Search Google Scholar
    • Export Citation
  • [11]

    J. Schmitz , K.W. Platts: Supplier logistics performance measurement: Indications from a study in the automotive industry, International Journal of Production Economics, Vol. 89, No. 2, 2004, pp. 231243.

    • Search Google Scholar
    • Export Citation
  • [12]

    Prahinski C. , Benton W. C. Supplier evaluations: communication strategies to improve supplier performance, Journal of Operations Management, Vol. 22, No. 1 2004, pp. 3962.

    • Search Google Scholar
    • Export Citation
  • [13]

    Azadegan A. Benefiting from supplier operational innovativeness: The influence of supplier evaluation and absorptive capacity, Journal of Supply Chain Management, Vol. 47, No. 2, 2011, pp. 4964.

    • Search Google Scholar
    • Export Citation
  • [14]

    Simpson P. M. , Siguaw J. A., White S. C. Measuring the performance of suppliers: An analysis of evaluation processes, Journal of Supply Chain Management, Vol. 38, No. 4, 2002, pp. 2941.

    • Search Google Scholar
    • Export Citation
  • [15]

    Kota L. , Jármai K. Efficient algorithms for optimization of objects and systems, Pollack Periodica, Vol. 9, No. 1, 2014, pp. 121132.

    • Search Google Scholar
    • Export Citation
  • [16]

    Markovits-Somogyi R. , Bokor Z. The effect of data structure on the DEA-based efficiency ranking in logistics, Pollack Periodica, Vol. 7, No. 1, 2012, pp. 123134.

    • Search Google Scholar
    • Export Citation

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Sep 2020 0 7 6
Oct 2020 0 8 13
Nov 2020 0 12 15
Dec 2020 0 9 9
Jan 2021 0 5 7
Feb 2021 0 6 8
Mar 2021 0 0 0