Scientific Papers

JOURNAL OF INTERNATIONAL STUDIES


© CSR, 2008-2019
ISSN: 2306-3483 (Online), 2071-8330 (Print)

2.8
2019CiteScore
 
83nd percentile
Powered by  Scopus



Directory of Open Access Journals (DOAJ)


Strike Plagiarism

Partners
  • General Founder and Publisher:

    SCImago Journal & Country Rank

  • Publishing Partners:

     


    The journal is co-financed in the years 2022-2024 by the Ministry of Education and Science of the Republic of Poland in the framework of the ministerial programme “Development of Scientific Journals” (RCN) on the basis of contract no. RCN/SN/0669/2021/1 


    University of Szczecin (Poland)

    Academy of Economic Studies in Bucharest (Romania)


     

    Széchenyi István University (Hungary)


     

  • Membership:

     

    Society for Scholarly Publishing (SSP)

    CrossRef

     

Network analysis of contractors’ assessment factors

Vol. 17, No 3, 2024

 

Mansooreh Kazemilari

 

School of Mathematics and Computer Science,

PNG University of Technology,

Papua New Guinea

mansooreh.kazemilari@pnguot.ac.pg

ORCID 0000-0003-0268-009X


Network analysis of contractors’ assessment factors

Dalia Streimikiene

 

Faculty of Business Management,

Vilnius Gediminas Technical University, Lithuania

dalia@mail.lei.lt

ORCID 0000-0002-3247-9912

 

 

 

Abstract. The effect of assessment management and selecting the appropriate contractor is growing interest in research because of ‎the change in preferences of contractors’ behaviour and the growth of competitiveness. The assessment of contractors is a continuous process that demands ongoing ‎monitoring to maintain high quality ranks. In this study, the factors behaviour of contractors' assessment for a construction engineering company and a method of topological analysis are examined to a) aid in the interpretation of existing relationships among all factors and b) find influencing factors of contractors’ assessment. The method begins with the network construction of factors considering some criteria or standards. We then propose a method of network analysis and describe the results of studies undertaken to apply the correlation network-based approach and discuss the implications of the methodology. As a result of this study, all influencing factors are involved in a category. The most influential factor is the specialized training of staff that can improve the contractors' productivity and competitiveness.

 

Received: November, 2023

1st Revision: August, 2024

Accepted: September, 2024

 

DOI: 10.14254/2071-8330.2024/17-3/6

 

JEL ClassificationG21, L26, O16

Keywordsconstruction engineering company, contractors’ assessment factors, topological network analysis