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...
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| Published in: | Digital Transformation and Society Vol. 2; no. 3; pp. 293 - 315 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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University Park
Emerald Publishing Limited
21.08.2023
Emerald Group Publishing Limited Emerald Publishing |
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| ISSN: | 2755-0761, 2755-077X, 2755-077X |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | Kani, John Amoako Ofosu-Ampong, Kingsley Asmah, Alexander Bibi, Dzifa |
| Author_xml | – sequence: 1 givenname: Kingsley orcidid: 0000-0003-0561-6376 surname: Ofosu-Ampong fullname: Ofosu-Ampong, Kingsley email: kingofosu11@gmail.com – sequence: 2 givenname: Alexander surname: Asmah fullname: Asmah, Alexander email: aea015a@hcuc.edu.gh – sequence: 3 givenname: John Amoako surname: Kani fullname: Kani, John Amoako email: jak017a@hcuc.edu.gh – sequence: 4 givenname: Dzifa surname: Bibi fullname: Bibi, Dzifa email: dbx018b@hcuc.edu.gh |
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| Copyright | Kingsley Ofosu-Ampong, Alexander Asmah, John Amoako Kani and Dzifa Bibi Kingsley Ofosu-Ampong, Alexander Asmah, John Amoako Kani and Dzifa Bibi. This work is published under http://creativecommons.org/licences/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Keywords | Population and housing census Enablers and inhibitors Technology readiness Digital economy Digital technologies Adoption |
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| SubjectTerms | 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 |
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| Title | Determinants of digital technologies adoption in government census data operations |
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