Detail publikace

Performance Measurement Framework for Prediction and Management of Construction Investments

GALJANIC, K. MAROVIĆ, I. HANÁK, T.

Originální název

Performance Measurement Framework for Prediction and Management of Construction Investments

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

GALJANIC, K.; MAROVIĆ, I.; HANÁK, T.

Vydáno

12. 9. 2023

Nakladatel

MDPI

ISSN

2071-1050

Periodikum

Sustainability

Ročník

15

Číslo

18

Stát

Švýcarská konfederace

Strany od

1

Strany do

20

Strany počet

20

URL

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

Plný text v Digitální knihovně

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"
}