Intellectual Capital: A New Predictive Indicator for Project Management Improvement

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,...

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Bibliographic Details
Published in:Sustainability 2022-11, Vol.14 (22), p.15182
Main Authors: Kański, Łukasz, Chadam, Jan, Kłosowski, Grzegorz
Format: Article
Language:English
Subjects:
Competitive advantage
Economic aspects
Economic research
Human capital
Hypotheses
Industrial project management
Intellectual capital
Methods
Polls & surveys
Process management
Project management
Questionnaires
Statistical analysis
Success
Surveys
Sustainability
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su142215182