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THE IMPACT OF KNOWLEDGE MANAGEMENT ON WAGE GROWTH IN THE CONSTRUCTION SECTOR: THE CASE OF MEDIUM-SIZED AND LARGE COMPANIES IN THE REPUBLIC OF SERBIA

Vojislav Babić1  and Siniša Zarić2

1 Institute for Sociological Research, Faculty of Philosophy, University of Belgrade
2 Faculty of Economics, University of Belgrade

The study measures and analyzes the influence of knowledge management on average wages in Serbian construction companies. For the purpose of this research, of Knowledge Management (KM) dataset with 11 variables was created. The main goal of the research was to examine the influence of the dataset on the average wages in medium-sized and large construction companies. At the basic sample level, through factor analysis, a total of four factor scores were isolated, representing the strategies that the companies combine in KM. Using a regression analysis, it was found that the set of the four independent variables explained 84.5% of the average wage variability in the medium-sized and large construction companies. Two of the four strategies were statistically significant. According to the first strategy, the management insisted on a larger share of experts with the master’s and bachelor degrees, while the second strategy was based on the introduction of the formal, legal protection and registration of innovative solutions, as well as a larger number of employees with a PhD degree.

Keywords: 

knowledge management, construction sector, factor analysis, multiple regression, wages, mid-size and large companies

JEL Classification: 

M21, M150
doi:10.5937/ekonhor2001061B
Economic Horizons, 2020, 22 (1), Published online April 24th 2020

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Since September 2013, the Journal is indexed in Index Copernicus Journals Master List 2012

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ICV 2020 = 90.77

Since March 2013, the Journal has been evaluated and accepted for listing in EconLit (American Economic Association Publications)

EconLit

Since January 2013, the Journal has been included into EBSCO’s databases

EBSCO

Since November 2012, the Journal has been included into Ulrich’s Periodicals Directory 

Ulrich’s Web

Since October 2020, the Journal is referenced in SCOPUS

SCImago Journal & Country Rank

Since March 2015, the Journal is indexed in DOAJ

DOAJ

Since November 2013, the Journal is indexed in ProQuest – ABI/INFORM

ProQuest – ABI/INFORM

Since October 2013, the Journal is indexed in Cabell’s Directories

Cabell’s Directories

Since September 2013, the Journal is indexed in Index Copernicus Journals Master List 2012

Index Copernicus Journals Master List
ICV 2020 = 90.77

Since March 2013, the Journal has been evaluated and accepted for listing in EconLit (American Economic Association Publications)

EconLit

Since January 2013, the Journal has been included into EBSCO’s databases

EBSCO

Since November 2012, the Journal has been included into Ulrich’s Periodicals Directory 

Ulrich’s Web