Publication detail

Performance Measurement Framework for Prediction and Management of Construction Investments

GALJANIC, K. MAROVIĆ, I. HANÁK, T.

Original Title

Performance Measurement Framework for Prediction and Management of Construction Investments

Type

journal article in Web of Science

Language

English

Original Abstract

Despite good ideas, great efforts, and high investments, many projects do not end with success. Projects often fail due to a lack of understanding of the project requirements and constraints necessary for overall success. Five selected projects were analyzed in detail through the multiple case study method followed by semi-structured interviews with 56 experts to develop a pattern for the future prediction of project success. This paper aims to identify key factors for project performance in a multi-stakeholder environment, define a performance measurement framework for construction investments, and establish a link between performance measurement and prediction of project performance. The findings could help researchers in modeling performance measurement tools for project managers to achieve their designated project goals, reach better decisions, and achieve full potential in their future projects.

Keywords

performance measurement; project management; multiple case study; performance indicators; prediction; stakeholder management

Authors

GALJANIC, K.; MAROVIĆ, I.; HANÁK, T.

Released

12. 9. 2023

Publisher

MDPI

ISBN

2071-1050

Periodical

Sustainability

Year of study

15

Number

18

State

Swiss Confederation

Pages from

1

Pages to

20

Pages count

20

URL

https://www.mdpi.com/2071-1050/15/18/13617

Full text in the Digital Library

http://hdl.handle.net/11012/214449

BibTex

@article{BUT184604,
  author="Kristina {Galjanic} and Ivan {Marović} and Tomáš {Hanák}",
  title="Performance Measurement Framework for Prediction and Management of Construction Investments",
  journal="Sustainability",
  year="2023",
  volume="15",
  number="18",
  pages="20",
  doi="10.3390/su151813617",
  issn="2071-1050",
  url="https://www.mdpi.com/2071-1050/15/18/13617"
}