Examining the Factors of Open Government Data Usability From Academician's Perspective

2018 ◽  
Vol 9 (3) ◽  
pp. 72-85 ◽  
Author(s):  
Muhammad Mahboob Khurshid ◽  
Nor Hidayati Zakaria ◽  
Ammar Rashid ◽  
Muhammad Nouman Shafique
Keyword(s):  
Behavioral Intention ◽  
Diffusion Of Innovations ◽  
Behavioral Intentions ◽  
Policy Instruments ◽  
Open Government ◽  
Research Model ◽  
Policy Makers ◽  
Open Government Data ◽  
Government Data ◽  
Behavioral Intention To Use

This article examines factors that can be argued to influence the academician's behavioral intentions in using open government data (OGD). Policy-makers and practitioners will determine policy instruments in increasing acceptance and use of OGD by maintaining a good understanding of these factors. In this article, Rogers' Diffusion of Innovations (DOI) theory has been proposed and used in order to empirically examine these factors taking perceived characteristics of innovations. Relevant hypotheses have been developed through the literature review, forming a preliminary research model, while respective influences of the factors on the behavioral intention to use open government data have been statistically tested. Results have shown that compatibility and voluntariness have had a strong influence on behavioral intention, whereas a 66.2% variance has been found in academicians' behavioral intentions to use open government data.

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.

The use of open government data to citizen empowerment: an empirical validation of a proposed model

foresight ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 665-680 ◽  
Author(s):  
Md Nahin Hossain ◽  
Md Shamim Talukder ◽  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
The Body ◽  
Open Government ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Proposed Model ◽  
Open Government Data ◽  
Citizen Empowerment ◽  
Government Data ◽  
The Impact

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique. Findings Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment. Research limitations/implications This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study. Practical implications For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process. Originality/value This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

Drivers and barriers towards re-using open government data (OGD): a case study of open data initiative in Oman

foresight ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 206-218 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Theoretical Model ◽  
Open Data ◽  
Open Government ◽  
Data Sets ◽  
Policy Makers ◽  
Content Type ◽  
Use Of Data ◽  
Documentary Analysis ◽  
Open Government Data ◽  
Government Data

Purpose The purpose of this study is to underscore the significance, drivers and barriers towards re-use of open data sets in the context of Oman’s open government data (OGD) initiative. Design/methodology/approach Following a qualitative framework, the paper invoked a documentary analysis approach to probe the OGD initiative of Oman. Specifically, the national OGD portal of Oman (https://data.gov.om/) is being investigated in the paper. Furthermore, the paper invokes a theoretical model of “citizen engagement” (“Data over the wall”, “Code exchange”, “Civic issue tracker” and “Participatory open data model”) proposed by Sieber and Johnson (2015) to assess the extent to which open data sets may be re-used. Findings As per the theoretical model forwarded by Sieber and Johnson (2015), the OGD initiative of Oman is a cusp between “Data over the wall”, “Code exchange” and “Participatory” models. Oman’s OGD initiative facilitates the re-use of the open data sets. However, there are challenges in re-using the open data sets as well. The paper underlines the prospects of better re-use of data sets by institutionalizing the OGD initiative across all administrative levels of the country. Practical implications This study holds relevance for practitioners and policy-makers in Oman to ensure the re-use of data sets is facilitated for generating public value. Originality/value Hitherto, research has underlined the significance of launching OGD initiatives in the West but studies in developing countries are few. The present study seeks to plug this research gap by underlining the significance of OGD re-usage in Oman’s context.

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.

Evaluating global open government data

2020 ◽  
Author(s):  
Lei Zheng ◽  
Wai-Min Kwok ◽  
Vincenzo Aquaro ◽  
Xinyu Qi ◽  
Wenzeng Lyu
Keyword(s):  
Open Government ◽  
Open Government Data ◽  
Government Data

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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