Determinants of digital technologies adoption in government census data operations

Kingsley Ofosu-Ampong, Alexander Asmah, John Amoako Kani and Dzifa Bibi

Digital Transformation and Society, 2023, vol. 2, issue 3, 293-315

Abstract: Purpose - This study investigates the determinants of digital census for population and housing census (PHC) program through the lens of performance expectancy, technology readiness, self-efficacy and hedonic motivation for the upliftment of a national data collection exercise and development of human resource management. Design/methodology/approach - A quantitative and qualitative research method was used to survey enumerators' responses from the PHC exercise during the COVID-19 period in Ghana. Based on the four determinants, a conceptual framework was developed consisting of eight proposed hypotheses tested through a structural equation model. Findings - The findings of the study indicate that technological readiness, self-efficacy and hedonic motivation significantly influence behavioural intention to adopt digital technologies for PHC training and data collection. Importantly, the authors identified four key themes relating to digital technologies in PHC – personal enablers, general enablers, inherent affordances (inherent possibilities by the user in relation to what the technology offers in context) and personal inhibitors. Originality/value - For research, this work systematizes antecedents from diverse research streams and validates their relative impact on government digital transformation for accurate data, thus providing a cohesive theoretical explanation of digital technologies in PHC. Due to the study's infancy in a developing country context, the findings provide a preliminary foundation and constructive insight for a digitalization plan conducive to people’s personality and technological readiness.

Keywords: Adoption; Digital economy; Technology readiness; Digital technologies; Enablers and inhibitors; Population and housing census (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:dtspps:dts-11-2022-0056

DOI: 10.1108/DTS-11-2022-0056

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