Some Aspects of Purchasing Process in Suppliers’ Selection

ERIK WEISS

Montenegrin Journal of Economics2026https://doi.org/10.14254/1800-5845/2026.22-2.2article
AJG 1
Weight
0.50

What the paper says

In a dynamic business environment, it is important for companies to permanently maintain their competitiveness and achieve the highest possible efficiency in all areas of business activities.This includes not only the production and sale of products but also purchasing.The purchasing process is one of the important tools for understanding its strategic importance and the success of the company.The contribution orientates to the importance of the efficiency of the purchasing process in the selected company belonging to the IT sector, dealing with procurement of the advertising items.The authors performed the analysis of the purchasing process using the DMAIC method, enabling an effective and systematic approach to the monitored problem, and providing a consistent framework for the design of processes effectiveness increasing.In addition to the analysis of possible suppliers also their comparison and selection for the most advantageous supplier for the purchase of advertising items in the selected company results from the research.Changes in procurement cannot eliminate in full the human factor and its possible failure, therefore the authors suggest artificial intelligence use, e.g. in historical data processing, consumer trends analysis or prediction of good and services demand.

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https://doi.org/https://doi.org/10.14254/1800-5845/2026.22-2.2

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@article{erik2026,
  title        = {{Some Aspects of Purchasing Process in Suppliers’ Selection}},
  author       = {ERIK WEISS},
  journal      = {Montenegrin Journal of Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.14254/1800-5845/2026.22-2.2},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.