A generalised adoption model for services: A cross-country comparison of mobile health (m-health)

Dwivedi, Yogesh K.; Shareef, Mahmud Akhter; Simintiras, Antonis C.; Lal, Banita; Weerakkody, Vishanth

doi:10.1016/j.giq.2015.06.003

Cited by 410 publications

(320 citation statements)

References 67 publications

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“…The research findings are consistent with previous literature (Dwivedi et al, 2016;Eom & Kim, 2014;Rana et al, 2017;Zuiderwijk et al, 2015) that emphasize the importance of building and maintaining the credibility and public trust of government. While the ICTbased communication practices of the public health risks are likely to encourage citizens' intention to collaborate with the government's efforts to deal with health risks, they can also reduce the spread of rumors and inaccurate information, namely, "fake news," and instead, generate the positive effects of word-of-mouth communication.…”

Section: Discussionsupporting

confidence: 91%

Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication

Lee

Park

Lee³

2019

Government Information Quarterly

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A B S T R A C TThe sustainability of public health practices requires collaboration between the government and its citizens. On the government's side, social media can provide a conduit for communicating health risk information in an effective and timely fashion, while also engaging citizens in informed decision-making. On the citizen's side, information communication technology (ICT)-based practices cannot function unless citizens recognize and act on their responsibility to actively engage with government social media platforms. Despite an increasing interest in understanding the adoption of ICT practices and e-government services for health risk communication, there remains a crucial need for a comprehensive framework to explain which factors determine citizen use of digital government resources. The purpose of this study is to investigate how to increase government accountability for motivating citizens to engage in ICT-based health risk communication, thereby attaining sustainable public health practices through collaborative governance.By integrating trust and health risk information into the e-government adoption model (GAM), this research examines factors that influence citizens' likelihood of using government social media resources. Survey data from 700 Korean citizens were analyzed using structural equation modeling. The results indicated that individuals with higher social media competency are more likely to (a) seek risk information through social media and (b) perceive the government's social media sites as easy to use. Consistent with the GAM, intentions to use the government's social media sites for information and interactions appear to increase as citizens perceive more value in using them regarding information quality, ease of use, functional benefit, and security. Furthermore, perceived trust in the government's social media resources appears to function as a mediator of this process. Initial trust in the government is an important determinant of perceptions of its digital resources. Citizens who trust the government tend to evaluate new initiatives positively and are more likely to accept and make use of them.The results of this study can inform policy design and implementation by elucidating the mechanisms that determine citizens' adoption and usage of digital government services. Theoretically, this work expands the GAM to include health risk communication and adds empirical evidence to the small yet growing body of knowledge of e-government initiatives. These findings also highlight the importance of public trust in the government, as this encourages citizens to seek health risk information and assistance from the government. Overall, the data and model generated in this investigation represent an important step toward the successful and sustainable modernization of public services.

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Section: Discussionsupporting

confidence: 91%

Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication

Lee

Park

Lee³

2019

Government Information Quarterly

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“…5 Comparative analysis of existing technology adoption models 5.1 Review of existing user acceptance and success models Information systems (IS) research has long been concerned with how and why individuals adopt new IT (Dwivedi et al 2015a, b;Hossain and Quaddus 2015;Kapoor et al 2015). Within this wide area of scholarship, there have been a number of streams of research.…”

Section: Methodsmentioning

confidence: 99%

“…Within this wide area of scholarship, there have been a number of streams of research. One of these addresses the individual acceptance of technology, using intention or usage as a dependent variable (e.g., Ajzen 1991; Davis et al 1989;Dwivedi et al 2015a, b;Seethamraju 2015), whereas other streams have focused on the success of the systems, using IS success models (e.g., Barclay 2008;McLean 1992, 2003;Rana et al 2015a;Seddon 1997;Swar et al 2012), and on IS implementation success at the organisational level (Leonard-Barton and Deschamps 1988). While each of these streams makes significant contributions to the literature on user acceptance of IT, the theoretical models to be included in the current review, comparison and synthesis implement intention to use a technology as the key dependent variable (Venkatesh et al 2003).…”

Section: Methodsmentioning

confidence: 99%

Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.

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“…The citizens are one of the most important stakeholders of such developments. Hence, in order to avoid resistance from stakeholders and failure of such initiatives Hughes et al 2016Hughes et al , 2017, the perceptions of citizens and government employees towards various aspects of smart cities should also be explored by utilising established theories and models (see for example, AlAlwan et al 2017;Dwivedi et al 2011aDwivedi et al , 2011bDwivedi et al , 2013Dwivedi et al , 2016Dwivedi et al , 2017bDwivedi et al , 2017cHossain and Dwivedi 2014;Kapoor et al 2014aKapoor et al , 2014bKapoor et al , 2015Rana and Dwivedi 2015;Rana et al 2015aRana et al , 2015bRana et al , 2016Rana et al , 2017Shareef et al 2011Shareef et al , 2016aShareef et al , 2016bShareef et al , 2017Sinha et al 2017;Slade et al 2015;Veeramootoo et al 2018;Weerakkody et al 2013Weerakkody et al , 2017) from information systems and electronic government domains.…”

Section: Limitations and Future Scopementioning

confidence: 99%

Barriers to the Development of Smart Cities in Indian Context

Luthra²,

et al. 2018

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Smart city development is gaining considerable recognition in the systematic literature and international policies throughout the world. The study aims to identify the key barriers of smart cities from a review of existing literature and views of experts in this area. This work further makes an attempt on the prioritisation of barriers to recognise the most important barrier category and ranking of specific barriers within the categories to the development of smart cities in India. Through the existing literature, this work explored 31 barriers of smart cities development and divided them into six categories. This research work employed fuzzy Analytic Hierarchy Process (AHP) technique to prioritise the selected barriers. Findings reveal that 'Governance' is documented as the most significant category of barriers for smart city development followed by 'Economic; 'Technology'; 'Social'; 'Environmental' and 'Legal and Ethical'. In this work, authors also performed sensitivity analysis to validate the findings of study. This research is useful to the government and policymakers for eradicating the potential interferences in smart city development initiatives in developing countries like India.

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A generalised adoption model for services: A cross-country comparison of mobile health (m-health)

Cited by 410 publications

References 67 publications

Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication

Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication

Citizens’ adoption of an electronic government system: towards a unified view

Barriers to the Development of Smart Cities in Indian Context

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