Socio-Technical and Political Complexities: Findings from Two Case Studies of Large IT Project-Based Organizations

Eftekhari, NA; Mani, S; Bakhshi, J; Statsenko, L; Moslemi Naeni, L

Socio-Technical and Political Complexities: Findings from Two Case Studies of Large IT Project-Based Organizations

Eftekhari, NA Mani, S Bakhshi, J Statsenko, L Moslemi Naeni, L

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: SYSTEMS, 2022, 10, (6)
Issue Date:: 2022-12-01

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Field	Value	Language
dc.contributor.author	Eftekhari, NA
dc.contributor.author	Mani, S
dc.contributor.author	Bakhshi, J
dc.contributor.author	Statsenko, L
dc.contributor.author	Moslemi Naeni, L https://orcid.org/0000-0002-2577-3611
dc.date.accessioned	2023-01-16T00:32:42Z
dc.date.available	2023-01-16T00:32:42Z
dc.date.issued	2022-12-01
dc.identifier.citation	SYSTEMS, 2022, 10, (6)
dc.identifier.issn	2079-8954
dc.identifier.issn	2079-8954
dc.identifier.uri	http://hdl.handle.net/10453/164984
dc.description.abstract	Information technology (IT) projects are becoming more complex due to technological advancements, increased sociopolitical demand, and competition. In recent years, the project complexity field has attracted increasing attention with diverse strategies and methods proposed to identify, evaluate, and respond to various complexities. This study aims to identify and prioritize factors contributing to complexity in IT projects by reporting two case studies conducted on large IT organizations. The literature on project complexity informed and guided this exploratory research. The data were collected through 21 semi-structured interviews and analyzed by applying open and axial coding content analysis. Underpinned by complexity theories, 19 factors contributing to the complexity of IT projects were identified, and their importance was highlighted using the Friedman test. The top five factors contributing to IT project complexity were identified as follows: the diversity of stakeholders; technological newness of the project; conflicting goals of stakeholders; variety of product sub-systems and components; and uncertainty of project objectives. This study’s findings contribute to the project management literature and inform practitioners about how to achieve more effective management of complex IT projects
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	SYSTEMS
dc.relation.isbasedon	10.3390/systems10060244
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights	Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dc.subject	0801 Artificial Intelligence and Image Processing, 0803 Computer Software, 0806 Information Systems
dc.title	Socio-Technical and Political Complexities: Findings from Two Case Studies of Large IT Project-Based Organizations
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0803 Computer Software
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	recently_added	*
pubs.consider-herdc	false
dc.date.updated	2023-01-16T00:32:41Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	10
utslib.citation.issue	6

Abstract:

Information technology (IT) projects are becoming more complex due to technological advancements, increased sociopolitical demand, and competition. In recent years, the project complexity field has attracted increasing attention with diverse strategies and methods proposed to identify, evaluate, and respond to various complexities. This study aims to identify and prioritize factors contributing to complexity in IT projects by reporting two case studies conducted on large IT organizations. The literature on project complexity informed and guided this exploratory research. The data were collected through 21 semi-structured interviews and analyzed by applying open and axial coding content analysis. Underpinned by complexity theories, 19 factors contributing to the complexity of IT projects were identified, and their importance was highlighted using the Friedman test. The top five factors contributing to IT project complexity were identified as follows: the diversity of stakeholders; technological newness of the project; conflicting goals of stakeholders; variety of product sub-systems and components; and uncertainty of project objectives. This study’s findings contribute to the project management literature and inform practitioners about how to achieve more effective management of complex IT projects

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http://hdl.handle.net/10453/164984