Effects of Predictors of Citizens' Attitudes and Intention to Use Open Government Data and Government 2.0

2022 ◽  
pp. 101663
Author(s):  
Ariel Antônio Conceição de Souza ◽  
Marcia Juliana d'Angelo ◽  
Raimundo Nonato Lima Filho
Keyword(s):  
Open Government ◽  
Intention To Use ◽  
Open Government Data ◽  
Government Data ◽  
Citizens Attitudes

Understanding Users’ Intention to Use Open Government Data with Perceived Risk as Moderator: A Conceptual Model

2019 ◽  
Vol 16 (12) ◽  
pp. 5042-5046
Author(s):  
Mohammed Shihab Ahmed ◽  
Massudi Mahmuddin ◽  
Nor Idayu Mahat
Keyword(s):  
User Satisfaction ◽  
Perceived Risk ◽  
Social Life ◽  
Behavioural Intention ◽  
Open Government ◽  
Intention To Use ◽  
Perceived Performance ◽  
Open Government Data ◽  
Government Data ◽  
Expectation Confirmation

Government become part of social life, open government data is the best way provide a better understanding of user’ intention to use open government data this study proposed a framework that can enhance the intention of open government data users. This study used Expectation Confirmation Theory (ECT) and suggested that expectation, confirmation, perceived performance and incentive on usage can be a significant predictor of users’ behavioural intention to use open government data which influence the user satisfaction from open government data. Furthermore, the current study proposed the moderating effect of perceived risk on the relationship between expectation, confirmation, perceived performance, incentives on usage and user’s behavioural intention. This study provides important implications for the open government data agencies and an avenue for academia and practitioners to further test the proposed empirically to test the proposed framework.

Citizen Use of E-Government Services Websites

2021 ◽  
Vol 17 (2) ◽  
pp. 19-42
Author(s):  
Isaac Kofi Mensah ◽  
Chuanyong Luo ◽  
Emad Abu-Shanab
Keyword(s):  
Information Quality ◽  
Open Government ◽  
Intention To Use ◽  
Trust In Government ◽  
Significant Determinant ◽  
Government Services ◽  
Information Accessibility ◽  
Open Government Data ◽  
Government Data ◽  
Government Website

This study explored the factors influencing citizens' adoption of e-government services through the open government/data concept by proposing and validating an e-government adoption recommendation model (EGARM). The data was analyzed with Smart PLS-SEM. The results show that the intention to use e-government website is positively related to the intention of citizens to recommend the adoption of e-government services. Trust in government and the internet were significant predictors of the intention to use e-government services. While information quality was significant in determining the intention to use, it was however not significant in predicting the citizen's trust in government. Also, information accessibility and accountability were both significant predictors of trust in government but not the intention to use. Additionally, collaboration was found to predict the intention to use but not trust in government. Finally, empowerment was a significant determinant of the intention to use and trust in government.

scholarly journals Examining open government data (OGD) usage in India through UTAUT framework

foresight ◽  
2017 ◽  
Vol 19 (4) ◽  
pp. 421-436 ◽  
Author(s):  
Stuti Saxena ◽  
Marijn Janssen
Keyword(s):  
Behavioral Intention ◽  
Open Data ◽  
Open Government ◽  
Intention To Use ◽  
Data Sets ◽  
Content Type ◽  
Stakeholder Groups ◽  
Open Government Data ◽  
Government Data ◽  
Behavioral Intention To Use

Purpose This paper aims to examine the use and acceptance of open government data (OGD) of different stakeholder groups in India. Design/methodology/approach Following an empirical investigation among 244 respondents in India, the paper deploys path analysis via LISREL. The conceptual construction of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework is used to assess the behavioral intention to use and accept OGD. Multiple regression analysis informs the relationship of demographic variables with the behavioral intention to use and accept OGD. Findings Path analysis showed that there is an increased use and acceptance of OGD among the respondents. Multiple regression analysis shows that men are more likely to use open data sets than women. Individual differences are found among the respondents with regard to OGD usage. Thus, while men may tap open data sets in line with their purposes and professional backgrounds, women are likely to tap the data sets even for non-professional purposes. Furthermore, the respondents who are younger in age are more behaviorally inclined to accepting and using OGD than their older counterparts. Practical implications The Indian government needs to popularize and familiarize OGD initiatives among the people to a greater extent. The utilitarian value of OGD may be provided when data sets are more user-friendly, frequently updated and accurate. This would facilitate in better provision of public services besides appreciating the public sentiment. Further, with increased interaction between citizens and the government, public accountability and transparency may be better realized. Social implications The study shows that different groups of people are engaging in tapping information through government websites and related portals. Societal influence was found to be an important factor which predicts the acceptance and usage of OGD. An infrastructure can help to enable the use of OGD. Originality/value Hitherto, studies have focused on OGD initiatives in the developed countries, but extant literature is scarce on developing countries. Therefore, this study seeks to fill the literature gap by probing OGD use and acceptance among different stakeholder groups in India.

scholarly journals Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5204
Author(s):  
Anastasija Nikiforova
Keyword(s):  
Industry 4.0 ◽  
Economic Value ◽  
Open Data ◽  
Digital Data ◽  
Open Government ◽  
Data Sets ◽  
Time Data ◽  
Open Government Data ◽  
Information And Communication ◽  
Government Data

Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users’ intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These “smarter” open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of “smarter” data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users’ needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world.

Ranking hospitals’ burn care capacity using cluster analysis on open government data

2021 ◽  
pp. 106166
Author(s):  
HuiYan Ho ◽  
Sheuwen Chuang ◽  
Niann-Tzyy Dai ◽  
Chia-Hsin Cheng ◽  
Wei-Fong Kao
Keyword(s):  
Cluster Analysis ◽  
Open Government ◽  
Burn Care ◽  
Open Government Data ◽  
Government Data ◽  
Care Capacity
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