Opening up government data for Big Data analysis and public benefit

Hardy, Keiran; Maurushat, Alana

doi:10.1016/j.clsr.2016.11.003

Cited by 95 publications

(68 citation statements)

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“…Some of these research works underline the prospects of harnessing OGD in different sectors for public value creation or innovation (for instance, Zeleti, Ojo and Curry, 2016). While some of the researches are conceptual and descriptive in scope, others are empirical and provide aspects like socio-cultural, politico-legal, economic or infrastructural hindrances in OGD implementation (for instance, Evans and Campos, 2013;Hardy and Maurushat, 2017).…”

Section: Previous Research On Ogd: a Reviewmentioning

confidence: 99%

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

Saxena

Janssen²

2017

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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.

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Section: Previous Research On Ogd: a Reviewmentioning

confidence: 99%

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

Saxena

Janssen²

2017

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“…Additionally, governments utilize numerous techniques to ascertain how the electorate is responding to government action, as well as ideas for policy augmentation [118]. Big data analytics provide tremendous benefits to the public sector by improving the outcomes that have a direct impact on citizens' lives [119]. Examples of these sectors that can be applied to achieve tangible results may include Emergency response, anti-money laundering, insider threats, workforce effectiveness, etc.…”

Section: Governmentmentioning

confidence: 99%

Big Data: Analytical Solutions, Research Challenges and Trends

Ali¹,

Novikov²

2020

Proceedings of ISP RAS

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The term Big Data refers to an extensive collections of digital data generating every second. Produced datasets come in structured, semi-structured, and unstructured formats throughout the world, which is difficult for the traditional database management systems to analyze. Recently, big data analytics emerges as an essential research area due to the popularity of the Internet and the advent of new Web technologies. This growing area of research represents a multidisciplinary that attracts researchers from various research fields. Interested researchers are invited to design, develop, and implement several tools, technologies, architecture, and platforms for analyzing these large volumes of data. This paper begins with a brief introduction to big data and related concepts, including the main characteristics of big data, followed by discussions of the most significant open research challenges and emerging trends. Next, we review a study of big data analytics, the advantages of using big data solutions, and the preliminary assessments required before migrating from traditional solutions. Finally, we present a review of the recent main applications to obtain a broad perspective of big data analytics.

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“…The business barrier regarding big data collection and use minimizes the incentive to obtain AI patents in Japan. In the U.S., the government has established rules and regulations regarding the use of private information as big data (Hardy and Maurushat, 2017;Manyika et al, 2011). Additionally, there are large governmental R&D expenditures for AI technology innovation in the U.S., which is another strong incentive for AI technology development (National Science and Technology Council, 2016).…”

Section: <Table 2 About Here>mentioning

confidence: 99%

Trends and priority shifts in artificial intelligence technology invention: A global patent analysis

Fujii

Managi

2018

Economic Analysis and Policy

111

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Artificial intelligence (AI) technology can play a critical role in economic development, resource conservation, and environmental protection by increasing efficiency. This study is the first to apply a decomposition framework to clarify the determinants of AI technology invention. Exploiting data from the World Intellectual Property Organization, this study clarifies the determining factors that contribute to AI technology patent publications based on technology type. Consisting of 13,567 AI technology patents for the 2000-2016 period, our worldwide dataset includes patent publication data from the United States, Japan, China, Europe, and the Patent Cooperation Treaty (PCT). We find that priority has shifted from biological-and knowledge-based models to specific mathematical models and other AI technologies, particularly in the United States and Japan. Our technology type and country comparison shows that the characteristics of AI technology patent publication differ among companies and countries.

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Opening up government data for Big Data analysis and public benefit

Cited by 95 publications

References 1 publication

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

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

Big Data: Analytical Solutions, Research Challenges and Trends

Trends and priority shifts in artificial intelligence technology invention: A global patent analysis

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