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Cost and schedule overrun in Government IT projects. An empirical analysis

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Cost and schedule overrun in Government IT projects. An empirical analysis. / Østergaard Madsen, Christian; Krancher, Oliver; Schmidt, Jens.

2020. Abstract from Scandinavian Workshop on E-government, Gothenburg, Sweden.

Research output: Contribution to conference - NOT published in proceeding or journalConference abstract for conferenceResearchpeer-review

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Østergaard Madsen, C, Krancher, O & Schmidt, J 2020, 'Cost and schedule overrun in Government IT projects. An empirical analysis', Scandinavian Workshop on E-government, Gothenburg, Sweden, 29/01/2020 - 30/01/2020.

APA

Vancouver

Østergaard Madsen C, Krancher O, Schmidt J. Cost and schedule overrun in Government IT projects. An empirical analysis. 2020. Abstract from Scandinavian Workshop on E-government, Gothenburg, Sweden.

Author

Bibtex

@conference{a4c5b9a64ca54cc792ac86c897ddefae,
title = "Cost and schedule overrun in Government IT projects.: An empirical analysis",
abstract = "IT projects form an essential part of the ongoing transition towards increased digitalization in the public sector. However, according to the extant literature, IT projects in both the public and private sector frequently experience cost and schedule overruns, and some fail altogether. In contrast to the private sector, the scientific knowledge on IT projects in the public sector is limited in several ways. To contribute to this knowledge gap, we present the results of an empirical analysis of 48 completed central government IT projects. Our study analyses data on projects completed from 2011 – 2018, which have been submitted to The Danish Council for ICT following established guidelines and a mandated IT project model. Our study offers empirical and methodological contributions. We present up-to-date valid empirical data about cost and schedule overruns in government IT projects at the national level submitted to the Danish Council for ICT for risk assessment. We find that these IT projects, on average, experience much lower cost overruns than those reported in previous studies. Moreover, we find that these projects, on average, do experience schedule overruns, but lower than those reported in previous studies. At the methodological level, we demonstrate how sampling bias can be addressed in an analysis of IT projects through the application of the Heckman correction method. This sampling bias is an acknowledged, but unaddressed issue in previous project management research.",
keywords = "Government IT projects, Cost overrun, Schedule overrun",
author = "{{\O}stergaard Madsen}, Christian and Oliver Krancher and Jens Schmidt",
year = "2020",
month = jan,
day = "29",
language = "English",
note = "Scandinavian Workshop on E-government, SWEG ; Conference date: 29-01-2020 Through 30-01-2020",
url = "https://ait.gu.se/sweg2020",

}

RIS

TY - ABST

T1 - Cost and schedule overrun in Government IT projects.

T2 - Scandinavian Workshop on E-government

AU - Østergaard Madsen, Christian

AU - Krancher, Oliver

AU - Schmidt, Jens

PY - 2020/1/29

Y1 - 2020/1/29

N2 - IT projects form an essential part of the ongoing transition towards increased digitalization in the public sector. However, according to the extant literature, IT projects in both the public and private sector frequently experience cost and schedule overruns, and some fail altogether. In contrast to the private sector, the scientific knowledge on IT projects in the public sector is limited in several ways. To contribute to this knowledge gap, we present the results of an empirical analysis of 48 completed central government IT projects. Our study analyses data on projects completed from 2011 – 2018, which have been submitted to The Danish Council for ICT following established guidelines and a mandated IT project model. Our study offers empirical and methodological contributions. We present up-to-date valid empirical data about cost and schedule overruns in government IT projects at the national level submitted to the Danish Council for ICT for risk assessment. We find that these IT projects, on average, experience much lower cost overruns than those reported in previous studies. Moreover, we find that these projects, on average, do experience schedule overruns, but lower than those reported in previous studies. At the methodological level, we demonstrate how sampling bias can be addressed in an analysis of IT projects through the application of the Heckman correction method. This sampling bias is an acknowledged, but unaddressed issue in previous project management research.

AB - IT projects form an essential part of the ongoing transition towards increased digitalization in the public sector. However, according to the extant literature, IT projects in both the public and private sector frequently experience cost and schedule overruns, and some fail altogether. In contrast to the private sector, the scientific knowledge on IT projects in the public sector is limited in several ways. To contribute to this knowledge gap, we present the results of an empirical analysis of 48 completed central government IT projects. Our study analyses data on projects completed from 2011 – 2018, which have been submitted to The Danish Council for ICT following established guidelines and a mandated IT project model. Our study offers empirical and methodological contributions. We present up-to-date valid empirical data about cost and schedule overruns in government IT projects at the national level submitted to the Danish Council for ICT for risk assessment. We find that these IT projects, on average, experience much lower cost overruns than those reported in previous studies. Moreover, we find that these projects, on average, do experience schedule overruns, but lower than those reported in previous studies. At the methodological level, we demonstrate how sampling bias can be addressed in an analysis of IT projects through the application of the Heckman correction method. This sampling bias is an acknowledged, but unaddressed issue in previous project management research.

KW - Government IT projects

KW - Cost overrun

KW - Schedule overrun

M3 - Conference abstract for conference

Y2 - 29 January 2020 through 30 January 2020

ER -

ID: 84865878