Data-Driven Innovation through Open Government Data

Jetzek, Thorhildur; Avital, Michel; Bjørn‐Andersen, Niels

doi:10.4067/s0718-18762014000200008

Cited by 184 publications

(158 citation statements)

References 48 publications

Supporting

Mentioning

133

Contrasting

Unclassified

Order By: Relevance

“…Jetzek et al (2014) suggest that innovation through BOLD creates value through new structures, which themselves form the foundation for new data and hence innovation, resulting in a cyclical process where value and innovation through BOLD feed into each other. Support is found for this value generation framework and conceptual model of the data driven innovation mechanism given that value, competitive advantage, and innovation through BOLD appear at the same top level in the ISM-based model and are all linkage variables.…”

Section: Discussionmentioning

confidence: 99%

“…The comparison highlighted various lessons including actions related to strong legal framework, generic operational policies, data providers and data users, data quality, designated agencies and initiatives, and incentives for stimulating demand for data. Jetzek et al (2014) devise a framework of value generation strategies from the data provider's perspective. The four identified mechanisms are transparency, participation, efficiency, and innovation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The four identified mechanisms are transparency, participation, efficiency, and innovation. Jetzek et al (2014) propose a conceptual model of the data driven innovation mechanism consisting of three fundamental phases: idea generation, idea conversion, and idea diffusion. They determine four multidimensional 'enabling factors' capable of influencing the innovation mechanism, namely absorptive capacity, such as organizational capabilities; openness, such as ease of access to data; resource governance, including leadership and privacy; and technical connectivity, for instance number of platforms.…”

Section: Literature Reviewmentioning

confidence: 99%

“…BOLD creates innovation opportunities for both the public and private sectors, from innovation of processes and products to developments in the supply chain and new markets (Jetzek et al 2014;). However, Janssen et al (2015, p.87) state that 'creating innovations with data is a complex process in which both the available data and the users' demands need to be taken into account'.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

et al. 2016

View full text Add to dashboard Cite

Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

et al. 2016

View full text Add to dashboard Cite

show abstract

“…"The use of technology and the subsequent generation and utilization of digital data have become ubiquitous, virtually taken for granted. The impact of these technologies is evolving continuously with the creation of new content, connectivity, analysis software and infrastructure" (Jetzek1, Avital & Bjorn-Andersen, 2013). These two phenomena together are facilitating and encouraging the development of what scholars call "sharing economy" or "collaborative consumption".…”

Section: The Crisis Of the Hyper-capitalismmentioning

confidence: 99%

The Sharing Economy at the Crossroads. A Conflict Between Social Values and Market Mechanisms

Gurashi¹

2017

EJSD

View full text Add to dashboard Cite

In the last few years the phenomenon of the Sharing Economy rapidly gained momentum. The reasons for this success are multiple but the most important is the tendency to faster exchanges and economic relationships both on the real and the financial market. This awareness made it essential to start the study form the crisis of the hyper-capitalism and of the concept of ownership which is being replaced with that of a more fluid sharing. In this way, we will analyze the words, the concepts and the values at the basis of the sharing economy which influence the effects this new way of acting and living has on the economies and on the socialization processes of the countries involved. In this perspective, we will also try to consider if and to what extent the sharing economy can have a positive impact on sustainable development.

show abstract

The process of open data publication and reuse

Abella

Ortiz‐de‐Urbina‐Criado

De-Pablos-Heredero

2018

Asso for Info Science & Tech

View full text Add to dashboard Cite

Open data movement advocates support to public authorities by making available to society the public information they manage. The data released are identified as open government data and the creation of open data portals supports their commitment through open government policies. The worldwide increase of the open data publication is making more necessary the modelling of its impact on society. This research analyses the process of open data publication starting in the internal systems of the organization and reaching the actual reuse of data in reuser's ecosystem surrounding the open data portals. Different reuser's profiles are identified and described within the reuser's ecosystem. Some key elements of the publication process are presented in order to guarantee sustainability of open data initiatives and to further analyse the social and economic impact.

show abstract

Data-Driven Innovation through Open Government Data

Cited by 184 publications

References 48 publications

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

The Sharing Economy at the Crossroads. A Conflict Between Social Values and Market Mechanisms

The process of open data publication and reuse

Contact Info

Product

Resources

About