What determines information systems project performance? A narrative review and meta-analysis

Konrad Dongus, Simon Ebert, Michael Schermann, Helmut Krcmar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This study employs both a narrative review and a meta-analysis to review the determinants of information systems (IS) project performance. As a result of the narrative review, we present a framework of 22 conceptually distinct determinants of IS project performance classified into six categories. Using meta-analytic techniques, we quantitatively aggregate the empirical findings within this framework. The results show that the determinants trust, coordination, and knowledge integration have the strongest effect on IS project performance. In contrast, the determinants project size, IS team size, and technological uncertainty have the weakest effect on IS project performance. This review consolidates the understanding of IS project performance and provides avenues for further research.

Original languageEnglish
Title of host publicationProceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
EditorsTung X. Bui, Ralph H. Sprague
PublisherIEEE Computer Society
Pages4483-4492
Number of pages10
ISBN (Electronic)9781479973675
DOIs
StatePublished - 26 Mar 2015
Event48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, United States
Duration: 5 Jan 20158 Jan 2015

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2015-March
ISSN (Print)1530-1605

Conference

Conference48th Annual Hawaii International Conference on System Sciences, HICSS 2015
Country/TerritoryUnited States
CityKauai
Period5/01/158/01/15

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