EconPapers    
Economics at your fingertips  
 

Intellectual Capital: A New Predictive Indicator for Project Management Improvement

Łukasz Kański, Jan Chadam and Grzegorz Kłosowski ()
Additional contact information
Łukasz Kański: Faculty of Economics, University of Maria Curie-Skłodowska, 5 M. Curie-Skłodowskiej 5 Square, 20-031 Lublin, Poland
Jan Chadam: Faculty of Economics, University of Maria Curie-Skłodowska, 5 M. Curie-Skłodowskiej 5 Square, 20-031 Lublin, Poland
Grzegorz Kłosowski: Faculty of Management, Lublin University of Technology, Nadbystrzycka 38 D, 20-618 Lublin, Poland

Sustainability, 2022, vol. 14, issue 22, 1-22

Abstract: Effective project management has contributed to successful operations and process management. The goal of this article is to look at the link between a project’s success (PS) and the amount of intellectual capital (IC) an organization has. Instead of being reactive to measuring the cost, timeliness, and quality (customer requirements), a more predictive indicator of a project’s success is needed. Nearly 300 people who work in the field of digital (information and communication) technology took part in the survey research. The survey contains 88 questions. Several statistical techniques are utilized for the data analysis. Based on the comprehensive surveys, the findings show the strong possibility for IC to be adapted as a predictor of the success of investment projects, especially for digital upgrade and improvement. IC plays a key role in assuring the effective (and successful) project management. The study highlights the impacts of effective project management on industrial and organizational operations. This highlight is based on the attempt to determine whether IC contributes to a PS. In this study, in addition to the three traditional factors of cost, timeliness, and quality (or requirements), IC should be considered as a prediction for the project management’s success. The survey was addressed to selected companies from the ICT industry (IT projects). The sample selection is based on non-probability sampling. The author’s method of converting the respondents’ answers into binary form was adopted.

Keywords: intellectual capital; project success; human capital; project management; business process improvement; relationship value (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/22/15182/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/22/15182/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:22:p:15182-:d:974189

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15182-:d:974189