Javascript must be enabled to continue!
Assessment of Construction Competitiveness through Knowledge Management Process Implementation
View through CrossRef
In the turbulent construction market, the knowledge management process (KMP) is one of the most valuable tools of sustainability to help construction companies deal with dynamic changes and enhance their construction competitiveness (CC). To effectively utilize KMP in construction, this study aims to explore the interrelationships between key KMP factors and their influences on the CC, utilizing the structural equation modeling (SEM) approach. The objectives include extracting key KMP factors necessary for the CC enhancement, identifying direct and indirect relationships between the KMP and CC factors, and developing a self-assessment form to assist construction companies in evaluating their KMP performance and planning for long-term improvement. The results show that the five key KMP factors, namely knowledge utilization (KU), knowledge dissemination (KD), knowledge responsiveness (KR), knowledge storage (KS), and knowledge acquisition (KA), have direct and indirect effects on CC and that the feedback of CC is sent back to KMP factors for continuous improvement. The KU factor is crucial for short-term improvement. Construction companies should utilize stakeholders’ current practices and experiences to solve problems, conclude lessons learned, and pinpoint practices for future uses. The KS factor, on the other hand, should be emphasized for long-term plans to enhance KMP implementation and CC achievements. A long-term investment plan should be initiated in the database system to properly and effectively implement digital transformation in the 4.0 Era. The self-assessment form developed from the study results assists construction companies in assessing their KMP implementation and planning for sustainable development.
Title: Assessment of Construction Competitiveness through Knowledge Management Process Implementation
Description:
In the turbulent construction market, the knowledge management process (KMP) is one of the most valuable tools of sustainability to help construction companies deal with dynamic changes and enhance their construction competitiveness (CC).
To effectively utilize KMP in construction, this study aims to explore the interrelationships between key KMP factors and their influences on the CC, utilizing the structural equation modeling (SEM) approach.
The objectives include extracting key KMP factors necessary for the CC enhancement, identifying direct and indirect relationships between the KMP and CC factors, and developing a self-assessment form to assist construction companies in evaluating their KMP performance and planning for long-term improvement.
The results show that the five key KMP factors, namely knowledge utilization (KU), knowledge dissemination (KD), knowledge responsiveness (KR), knowledge storage (KS), and knowledge acquisition (KA), have direct and indirect effects on CC and that the feedback of CC is sent back to KMP factors for continuous improvement.
The KU factor is crucial for short-term improvement.
Construction companies should utilize stakeholders’ current practices and experiences to solve problems, conclude lessons learned, and pinpoint practices for future uses.
The KS factor, on the other hand, should be emphasized for long-term plans to enhance KMP implementation and CC achievements.
A long-term investment plan should be initiated in the database system to properly and effectively implement digital transformation in the 4.
0 Era.
The self-assessment form developed from the study results assists construction companies in assessing their KMP implementation and planning for sustainable development.
Related Results
Protecting organizational competitiveness from the hazards of knowledge leakage through HRM
Protecting organizational competitiveness from the hazards of knowledge leakage through HRM
PurposeCollaborative projects are useful tools for learning and innovation. However, there is an associated cost – knowledge leakage, which is theoretically linked to challenging o...
STRATEGY FOR MANAGING REGIONAL COMPETITIVENESS DEVELOPMENT
STRATEGY FOR MANAGING REGIONAL COMPETITIVENESS DEVELOPMENT
Abstract. The studies of economists are mostly devoted to the issues of ensuring the proper level of competitiveness of the country and finding ways to increase Ukraine's competiti...
Using Project Funding for Advancing Regional Competitiveness
Using Project Funding for Advancing Regional Competitiveness
<p><em>The idea that regional competitiveness can be fostered and managed to enhance national competitiveness has gained increasing acceptance in the sc...
Factors for providing enterprise competitiveness
Factors for providing enterprise competitiveness
The classifications of factors ensuring the competitiveness considered by different authors are analyzed and the most complete and best one for use is distinguished in this paper. ...
A Knowledge Management Portal System for Construction Projects Using Knowledge Map
A Knowledge Management Portal System for Construction Projects Using Knowledge Map
Knowledge management (KM) has become an important term in the construction industry. Knowledge management involves creating, securing, capturing, coordinating, combining, retrievin...
Model of multi-criterion diagnostics of the competitiveness of electronic trade enterprises
Model of multi-criterion diagnostics of the competitiveness of electronic trade enterprises
The article is devoted to issues of assessing the competitiveness of e-commerce enterprises. Diagnostics of the competitiveness of enterprises is an urgent problem because in the c...
The International Tax Competitiveness: Bibliometric Analysis
The International Tax Competitiveness: Bibliometric Analysis
This paper summarizes the arguments and counterarguments within the scientific discussion on the generalization of the main vectors of the tax competitiveness theory’s development....
Manufacturing Industry Resource Endowment Index and Its Big Data Model
Manufacturing Industry Resource Endowment Index and Its Big Data Model
This study aims to demonstrate the application of big data models in the evaluation of manufacturing competitiveness across different countries and economic entities. It involves a...

