Authors :
Hammed Yusuf Akinteye; Adisa Muhammed; Azeez Abiola Azeez; Mabinty Success Kamara
Volume/Issue :
Volume 11 - 2026, Issue 5 - May
Google Scholar :
https://tinyurl.com/y3vmu6nk
Scribd :
https://tinyurl.com/y424fmhj
DOI :
https://doi.org/10.38124/ijisrt/26May955
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The procedural, paper-bound character of public administration is steadily giving way to a data centred mode of
governance, and civil servants now occupy a working life in which knowledge work, rather than file-handling, predominates.
Acquiring, curating, interpreting, and ethically deploying public-sector data assets has shifted from being a specialist
concern to a routine expectation, and these obligations sit awkwardly alongside the competency profile that conventional
bureaucratic training instils. The existing literature has tended to address this transition at the level of macro reform drivers
or aggregate measures of digital-government maturity, leaving the day-to-day workplace experience of public employees
who actually wield these tools comparatively under-examined. This paper turns the analytic lens toward that experiential
dimension by proposing a construct we label the data stewardship competency gap (DSCG): an aversive cognitive-affective
condition that arises when an employee perceives their bureaucratic skill repertoire to be inadequate for the datastewardship demands embedded in their digitalised role. Drawing on expectation-disconfirmation theory and competency
theory, we theorise DSCG as a product of two disconfirmation pathways one rooted in digital tools and the other in data
governance. The paper then examines, empirically, how DSCG shapes whether public employees commit themselves more
fully to a data-steward identity or retreat from digital reform. Theoretically, the contribution lies in framing DSCG as a
workplace-induced negative state that competency-model evolution must explicitly accommodate. Practically, the paper
argues that public organisations need to manage DSCG when they redesign competency frameworks for the digital age.
Keywords :
Data Stewardship; Public Administration; Competency Models; Digital Government; Expectation-Disconfirmation Theory; Switching Intention; Public Service Motivation.
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The procedural, paper-bound character of public administration is steadily giving way to a data centred mode of
governance, and civil servants now occupy a working life in which knowledge work, rather than file-handling, predominates.
Acquiring, curating, interpreting, and ethically deploying public-sector data assets has shifted from being a specialist
concern to a routine expectation, and these obligations sit awkwardly alongside the competency profile that conventional
bureaucratic training instils. The existing literature has tended to address this transition at the level of macro reform drivers
or aggregate measures of digital-government maturity, leaving the day-to-day workplace experience of public employees
who actually wield these tools comparatively under-examined. This paper turns the analytic lens toward that experiential
dimension by proposing a construct we label the data stewardship competency gap (DSCG): an aversive cognitive-affective
condition that arises when an employee perceives their bureaucratic skill repertoire to be inadequate for the datastewardship demands embedded in their digitalised role. Drawing on expectation-disconfirmation theory and competency
theory, we theorise DSCG as a product of two disconfirmation pathways one rooted in digital tools and the other in data
governance. The paper then examines, empirically, how DSCG shapes whether public employees commit themselves more
fully to a data-steward identity or retreat from digital reform. Theoretically, the contribution lies in framing DSCG as a
workplace-induced negative state that competency-model evolution must explicitly accommodate. Practically, the paper
argues that public organisations need to manage DSCG when they redesign competency frameworks for the digital age.
Keywords :
Data Stewardship; Public Administration; Competency Models; Digital Government; Expectation-Disconfirmation Theory; Switching Intention; Public Service Motivation.