Optimal IT Project Selection: Quantification of Critical Scoring Criteria.

Christin Karrenbauer; Michael H. Breitner

Optimal IT Project Selection: Quantification of Critical Scoring Criteria.

Christin Karrenbauer, Michael H. Breitner

Institute of Computer Science for Business Administration

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Abstract

The management of IT project portfolios is challenging because of IT projects’ complexity, dynamics, unknowns, and uncertainties. IT projects account for a large IT budget proportion and significantly influence value contribution, strategic development, goal achievements, and competitive advantages. Many IT projects still fail, exceed time and resources, and do not reach their planned goals because of wrong decisions, unsatisfactory evaluation, and missing selection criteria. Thus, a continuous IT project scoring and selection is crucial to enable an optimal portfolio composition. We conduct a systematic literature review and 14 semi-structured qualitative expert interviews to develop a uniform and holistic scoring approach. Our findings show that IT projects’ urgency, strategy, efficiency, risk, and complexity are critical IT project scoring criteria. Our scoring approach increases objectivity and quality in evaluating planned and running IT projects and allows more convincing and transparent decisions.

Original language	English
Title of host publication	Proceedings Projektmanagement und Vorgehensmodelle 2022
Subtitle of host publication	Virtuelle Zusammenarbeit und verlorene Kulturen?
Editors	Masud Fazal-Baqaie, Oliver Linssen, Alexander Volland, Enes Yigitbas, Martin Engstler, Martin Bertram, Axel Kalenborn
Publisher	Gesellschaft für Informatik eV
Pages	49-62
Number of pages	14
ISBN (Electronic)	9783885797210
ISBN (Print)	978-3-88579-721-0
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Volume	P-327
ISSN (Print)	1617-5468
ISSN (Electronic)	2944-7682

Keywords

Information Technology (IT) Projects
IT Project Evaluation
IT Project Portfolio Management (ITPPM)
Scoring Criteria
Scoring Model

ASJC Scopus subject areas

Computer Science Applications

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https://dl.gi.de/items/5ba1a371-d63f-45fa-b4c8-87f2e35d49c1Licence: Unspecified

Cite this

Karrenbauer, C., & Breitner, M. H. (2022). Optimal IT Project Selection: Quantification of Critical Scoring Criteria. In M. Fazal-Baqaie, O. Linssen, A. Volland, E. Yigitbas, M. Engstler, M. Bertram, & A. Kalenborn (Eds.), Proceedings Projektmanagement und Vorgehensmodelle 2022 : Virtuelle Zusammenarbeit und verlorene Kulturen? (pp. 49-62). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-327). Gesellschaft für Informatik eV. https://dl.gi.de/items/5ba1a371-d63f-45fa-b4c8-87f2e35d49c1

Karrenbauer, Christin ; Breitner, Michael H. / Optimal IT Project Selection : Quantification of Critical Scoring Criteria. Proceedings Projektmanagement und Vorgehensmodelle 2022 : Virtuelle Zusammenarbeit und verlorene Kulturen?. editor / Masud Fazal-Baqaie ; Oliver Linssen ; Alexander Volland ; Enes Yigitbas ; Martin Engstler ; Martin Bertram ; Axel Kalenborn. Gesellschaft für Informatik eV, 2022. pp. 49-62 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

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title = "Optimal IT Project Selection: Quantification of Critical Scoring Criteria.",

abstract = "The management of IT project portfolios is challenging because of IT projects{\textquoteright} complexity, dynamics, unknowns, and uncertainties. IT projects account for a large IT budget proportion and significantly influence value contribution, strategic development, goal achievements, and competitive advantages. Many IT projects still fail, exceed time and resources, and do not reach their planned goals because of wrong decisions, unsatisfactory evaluation, and missing selection criteria. Thus, a continuous IT project scoring and selection is crucial to enable an optimal portfolio composition. We conduct a systematic literature review and 14 semi-structured qualitative expert interviews to develop a uniform and holistic scoring approach. Our findings show that IT projects{\textquoteright} urgency, strategy, efficiency, risk, and complexity are critical IT project scoring criteria. Our scoring approach increases objectivity and quality in evaluating planned and running IT projects and allows more convincing and transparent decisions.",

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author = "Christin Karrenbauer and Breitner, {Michael H.}",

year = "2022",

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editor = "Masud Fazal-Baqaie and Oliver Linssen and Alexander Volland and Enes Yigitbas and Martin Engstler and Martin Bertram and Axel Kalenborn",

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Karrenbauer, C & Breitner, MH 2022, Optimal IT Project Selection: Quantification of Critical Scoring Criteria. in M Fazal-Baqaie, O Linssen, A Volland, E Yigitbas, M Engstler, M Bertram & A Kalenborn (eds), Proceedings Projektmanagement und Vorgehensmodelle 2022 : Virtuelle Zusammenarbeit und verlorene Kulturen?. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), vol. P-327, Gesellschaft für Informatik eV, pp. 49-62. <https://dl.gi.de/items/5ba1a371-d63f-45fa-b4c8-87f2e35d49c1>

Optimal IT Project Selection: Quantification of Critical Scoring Criteria. / Karrenbauer, Christin; Breitner, Michael H.
Proceedings Projektmanagement und Vorgehensmodelle 2022 : Virtuelle Zusammenarbeit und verlorene Kulturen?. ed. / Masud Fazal-Baqaie; Oliver Linssen; Alexander Volland; Enes Yigitbas; Martin Engstler; Martin Bertram; Axel Kalenborn. Gesellschaft für Informatik eV, 2022. p. 49-62 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-327).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - Optimal IT Project Selection

T2 - Quantification of Critical Scoring Criteria.

AU - Karrenbauer, Christin

AU - Breitner, Michael H.

PY - 2022

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N2 - The management of IT project portfolios is challenging because of IT projects’ complexity, dynamics, unknowns, and uncertainties. IT projects account for a large IT budget proportion and significantly influence value contribution, strategic development, goal achievements, and competitive advantages. Many IT projects still fail, exceed time and resources, and do not reach their planned goals because of wrong decisions, unsatisfactory evaluation, and missing selection criteria. Thus, a continuous IT project scoring and selection is crucial to enable an optimal portfolio composition. We conduct a systematic literature review and 14 semi-structured qualitative expert interviews to develop a uniform and holistic scoring approach. Our findings show that IT projects’ urgency, strategy, efficiency, risk, and complexity are critical IT project scoring criteria. Our scoring approach increases objectivity and quality in evaluating planned and running IT projects and allows more convincing and transparent decisions.

AB - The management of IT project portfolios is challenging because of IT projects’ complexity, dynamics, unknowns, and uncertainties. IT projects account for a large IT budget proportion and significantly influence value contribution, strategic development, goal achievements, and competitive advantages. Many IT projects still fail, exceed time and resources, and do not reach their planned goals because of wrong decisions, unsatisfactory evaluation, and missing selection criteria. Thus, a continuous IT project scoring and selection is crucial to enable an optimal portfolio composition. We conduct a systematic literature review and 14 semi-structured qualitative expert interviews to develop a uniform and holistic scoring approach. Our findings show that IT projects’ urgency, strategy, efficiency, risk, and complexity are critical IT project scoring criteria. Our scoring approach increases objectivity and quality in evaluating planned and running IT projects and allows more convincing and transparent decisions.

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KW - IT Project Evaluation

KW - IT Project Portfolio Management (ITPPM)

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KW - Scoring Model

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M3 - Conference contribution

SN - 978-3-88579-721-0

T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

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BT - Proceedings Projektmanagement und Vorgehensmodelle 2022

A2 - Fazal-Baqaie, Masud

A2 - Linssen, Oliver

A2 - Volland, Alexander

A2 - Yigitbas, Enes

A2 - Engstler, Martin

A2 - Bertram, Martin

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PB - Gesellschaft für Informatik eV

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Karrenbauer C, Breitner MH. Optimal IT Project Selection: Quantification of Critical Scoring Criteria. In Fazal-Baqaie M, Linssen O, Volland A, Yigitbas E, Engstler M, Bertram M, Kalenborn A, editors, Proceedings Projektmanagement und Vorgehensmodelle 2022 : Virtuelle Zusammenarbeit und verlorene Kulturen?. Gesellschaft für Informatik eV. 2022. p. 49-62. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

Optimal IT Project Selection: Quantification of Critical Scoring Criteria.

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

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