The Influence of Public Service Experience on Adopting Digital Government Innovations in Ethiopia

Senshaw, Debas; Twinomurinzi, Hossana

doi:10.1007/978-3-030-64861-9_50

Cited by 6 publications

(7 citation statements)

References 57 publications

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“…Finally, the finding of this study shows that the relationship between facilitating condition and behavioral intention to use patient portal were positively moderated by gender. This implied that the availability of resource, infrastructure support and knowledge has higher impact on female than male to intend to use patient portal, which is the effect of facilitating condition on behavioral intention to use the patient portal is stronger in female also this result supported by other studies (96). The possible reason for this significant difference might be the gender digital divide.…”

Section: Discussionsupporting

confidence: 58%

Intention To Use Patient Portal And Its Predictors Among Diabetic Patients Enrolled In Referral Hospitals, Amhara Regional State, Northwest Ethiopia, 2023: UTAUT-2 Model.

Abebe

Tilahun

Mekonnen

et al. 2023

Preprint

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Background: Patient portal technology is increasingly utilized in the health care system for diabetes management, as means of communication and information-sharing tools and it has the potential to improve access, quality, and outcomes for diabetic patients. However, its adaption is relatively low and patients’ intention towards patient portal is unknown. This study aims to fill this gap by determining the intention to use the patient portal and its predictors among diabetic patients in Ethiopia. Method: An institution-based cross-sectional study was conducted on 1078 diabetes patients from April 3 to May 8 in eight referral hospitals Amhara region, Ethiopia 2023. Sample was proportionally allocated for each hospital and participants were selected by using a systematic random sampling method. The data were collected in the same period in all hospitals by using interviewer-administered questioner; by kobo collect mobile app. Descriptive statistics were done using SPSS version 26. The degree of association between exogenous and endogenous variables was assessed and validated using structural equation modeling by AMOS version 21. Result: A total of 1037 (96.2% response rate) diabetic patients participated in the study. Of them 407(39.25%), 95% CI: [36.4–42.2] were found to have an intention to use patient portal. Digital literacy (β =0.312, 95% CI: [0.154-0.465], p < 0.01) performance expectancy (β =0.303, 95% CI: [0.185-0.420], p < 0.01) effort expectancy (β = 0.25 95% CI: [0.131-0.392], p < 0.01) facilitating condition (β = 0.22 95% CI: [0.081-0.36], p < 0.01) and habit (β = 0.111 95% CI: [-0.009-0.227], p < 0.05) were significantly associated with intention to use patient portal. Effort expectancy and facilitating condition were positively moderated by gender. Conclusion: This study found that diabetes patient’s intention to use patient portal was low. Intervention in digital literacy, performance expectancy, effort expectancy, facilitating conditions and habit are needed to improve diabetic patient’s intention to use the patient portal.

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Section: Discussionsupporting

confidence: 58%

Intention To Use Patient Portal And Its Predictors Among Diabetic Patients Enrolled In Referral Hospitals, Amhara Regional State, Northwest Ethiopia, 2023: UTAUT-2 Model.

Abebe

Tilahun

Mekonnen

et al. 2023

Preprint

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“…It is possible that through training and specialized courses, more knowledge could be gained about the importance and necessity of implementing artificial intelligence (Senshaw and Twinomurinzi, 2021). Government institutions should offer free courses for workers to learn more about AI, allowing them to become more familiar with and adapt to new trends, especially those who are more reluctant, since the implementation of this model will also allow for good governance and greater transparency.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the perception of digital government and artificial intelligence in the public sector in Jalisco, Mexico

Ruvalcaba-Gómez

Cifuentes‐Faura

2023

International Review of Administrative Sciences

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The advancement and continuous development of information and communication technologies highlights the importance of analysing and monitoring the development and capabilities of governments to use and exploit the potential of new technologies. Digital government and artificial intelligence in the public sector are two trends associated with technological development. This research conducts an analysis of these elements from the perspective of public officials by conducting a factor analysis. The study is based on a survey administered to civil servants in the state of Jalisco in Mexico. An analysis was made of their training and knowledge of these aspects and whether there are significant differences according to gender, age, level of studies, area of knowledge and place of work. The results obtained show divergences and coincidences between variables and factors. The findings are useful as a reference for the government of Jalisco to promote measures aimed at improving the situation of digital government and artificial intelligence in the short to medium term, in order to optimize administrative management. Points for practitioners Knowing the perspective of public officials on digital government and artificial intelligence is important to evaluate and design a digital strategy in governments. Public officials in charge of technology areas in governments need constant training on emerging technological tools, mainly those related to artificial intelligence. There is a lack of knowledge about the use and implications of artificial intelligence in the public sector by public servants. Data interoperability and coordination between government agencies are relevant to the development of digital government.

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“…Other studies have also validated and supported the findings that performance expectancy is the most significant determinant of technology adoption due to anticipated perceived benefits from such technology for their performance [167][168][169]. On the contrary, other researchers have shown that performance expectancy does not necessarily influence the adoption of technology (m-government) [170].…”

Section: Discussionmentioning

confidence: 85%

“…e ease of use of any technology [172][173][174]. Few studies have however demonstrated that the extent of ease of use (effort expectancy) of technology does not influence its acceptance [170,175,176]. e nondirect effect of effect expectancy on the technology adoption can be attributed to people's over familiarization with new technologies (mobile) which make them well acquainted with such technologies, and thus the issue of ease of use does not arise.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption

Mensah

Mwakapesa

2022

Mobile Information Systems

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Context awareness and mobile factor ubiquity are considered key factors when it comes to mobile technology development and diffusion. Context is vital in interactive applications particularly when the context of users changes frequently and rapidly in the environment of handheld-mobile and ubiquitous technology systems. The understanding of the context and ubiquity in the development and diffusion of mobile government can influence the delivery of efficient public services. Mobile context-aware computing systems can respond to the changes in the environment in an intelligent way to provide a better consumer experience for users. This study explored the impact of context awareness and mobile factor ubiquity on the adoption of mobile government services. The framework of this study was based on the unified theory of acceptance and use of technology (UTAUT). The structural equation model (SEM) with SmartPLS 3.0 was used to conduct the data analysis. The analysis which was based on the 366 samples generated has shown that while context awareness was not significant in determining both the performance and intention to use, it was however significant in determining the effort expectancy of mobile government services. Also, mobile factor ubiquity was found to be a positive predictor of effort expectancy, intention to use, and context awareness. However, the mobile factor ubiquity does not determine the performance expectancy of mobile government services. The implications (managerial and theoretical) of these and other result findings of the study are discussed.

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The Influence of Public Service Experience on Adopting Digital Government Innovations in Ethiopia

Cited by 6 publications

References 57 publications

Intention To Use Patient Portal And Its Predictors Among Diabetic Patients Enrolled In Referral Hospitals, Amhara Regional State, Northwest Ethiopia, 2023: UTAUT-2 Model.

Intention To Use Patient Portal And Its Predictors Among Diabetic Patients Enrolled In Referral Hospitals, Amhara Regional State, Northwest Ethiopia, 2023: UTAUT-2 Model.

Analysis of the perception of digital government and artificial intelligence in the public sector in Jalisco, Mexico

The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption

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