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Workforce Agility and Digital Transformation in the Public Sector
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-6360-7641
Ariel University, Israel.ORCID iD: 0000-0001-8963-3776
Number of Authors: 22024 (English)In: SIGMIS-CPR '24: Proceedings of the 2024 Computers and People Research Conference / [ed] Sam Zaza; Cindy Riemenschneider; Indira R. Guzman; May Bantan; Thema Monroe-White; Rui Sundrup; Nita Brooks; Jason Williams; Dongwon Lee, Association for Computing Machinery (ACM) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

The rapidly changing technological, economic, and political landscapes have become a defining characteristic of this era. Organisations across sectors and industries are embarking on digital transformation to navigate through this dynamic environment. However, the success of digital transformation depends on dynamic capability—the ability to integrate, adapt and reconfigure internal and external capabilities to meet the demands of the dynamic environment. One of these capabilities is workforce agility—the ability of the workforce to foresee and respond to significant internal and external changes. Workforce agility is one of the imperative capabilities that can determine digital transformation success. However, the relationship between the two constructs is rarely studied, particularly in the public sector. Recognising the differences between organisations in the private and public sectors, this study investigates the significance of workforce agility for digital transformation

in public organisations. The study also aims to test the moderating effect of transformational leadership on the influence of (1) workforce agility on digital transformation and (2) organisational structure on digital transformation. The theoretical model developed based on the extant literature will be tested using quantitative data

collected in three municipalities in Sweden. Partial Lease Square

Structural Equation Modelling (PLS-SEM) will be used for data

analysis. Expected results and contributions are briefly discussed.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2024.
Keywords [en]
Digital transformation, Dynamic capability theory, Organisational structure, Public organisations, Transformational leadership, Workforce agility
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-231322DOI: 10.1145/3632634.3655869ISI: 001239173300021Scopus ID: 2-s2.0-85195919160ISBN: 979-8-4007-0477-2 (print)OAI: oai:DiVA.org:su-231322DiVA, id: diva2:1872817
Conference
SIGMIS-CPR '24: 2024 Computers and People Research Conference, 29 May-1 June 2024, Murfreesboro, USA.
Available from: 2024-06-18 Created: 2024-06-18 Last updated: 2024-11-13Bibliographically approved

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Jonathan, Gideon Mekonnen

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