Determinants of digital technologies adoption in government census data operations

PurposeThis 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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Digital Transformation and Society Ročník 2; číslo 3; s. 293 - 315
Hlavní autoři: Ofosu-Ampong, Kingsley, Asmah, Alexander, Kani, John Amoako, Bibi, Dzifa
Médium: Journal Article
Jazyk:angličtina
Vydáno: University Park Emerald Publishing Limited 21.08.2023
Emerald Group Publishing Limited
Emerald Publishing
Témata:
Adoption
Attitudes
Censuses
COVID-19
Developing countries
Digital economy
Digital technologies
Digital technology
Enablers and inhibitors
Information systems
LDCs
Literature reviews
Meta-analysis
Motivation
Online instruction
Pandemics
Population and housing census
Research methodology
Self-efficacy
Technology Acceptance Model
Technology adoption
Technology readiness
Ghana
Africa
Population and housing census
Enablers and inhibitors
Technology readiness
Digital economy
Digital technologies
Adoption
ISSN:2755-0761, 2755-077X, 2755-077X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:PurposeThis 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/approachA 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.FindingsThe 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/valueFor 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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2755-0761
2755-077X
2755-077X
DOI:10.1108/DTS-11-2022-0056