The opendata trend is considered to be a robust driver for innovation. The expectation is that opendatasets will stimulate benefits across a variety of sectors (public, private, academia etc.), such as greater trans...
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ISBN:
(纸本)9781910810996
The opendata trend is considered to be a robust driver for innovation. The expectation is that opendatasets will stimulate benefits across a variety of sectors (public, private, academia etc.), such as greater transparency, innovation and the rise of new business models (European Commission, 2011;Davies, 2010). Although they are one of the primary users of governmental opendatasets, private sector companies themselves are not very active yet in opening the massive amount of data they produce (Bonina, 2013;Herzberg 2014). A variety of barriers hold back this potential, such as privacy issues, data security, proprietary interests and data protectionism (Verhulst 2014, Ponte 2015). Therefore our objective was to develop a decision support framework that offers an overview of the various steps required for such an action, taking the barriers and the benefits into account. We followed a design science approach in which we conducted a literature review on the concept of business opendata, performed an in-depth analysis of seven empirical case studies of well-known examples such as Nike, Syngenta and IBM, and we conducted expert interviews. We thus developed a prototype of the decision support framework, based on the concept of open data ecosystems (Heimstadt et al, 2014;Ponte, 2015). The framework was evaluated by high-level experts in the field. We not only identified the main business drivers for private sector companies to open up datasets, such as community building, promotion, business innovation, and new revenue streams. We also addressed the key challenges encountered by the private organizations, which are: characteristics of the data itself, the process for opening-up the data and obstacles in using business opendata (ie. the risks of misinterpretation). Our framework addresses the drivers as well as the barriers for private organizations to decide which datasets are eligible to be opened up, and supports them to consider all aspects that need to be taken in
open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective o...
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In this paper, we propose to view the concept of open government from the perspective of an ecosystem, a metaphor often used by policy makers, scholars, and technology gurus to convey a sense of the interdependent soc...
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In this paper, we propose to view the concept of open government from the perspective of an ecosystem, a metaphor often used by policy makers, scholars, and technology gurus to convey a sense of the interdependent social systems of actors, organizations, material infrastructures, and symbolic resources that can be created in technology-enabled, information-intensive social systems. We use the concept of an ecosystem to provide a framework for considering the outcomes of a workshop organized to generate a research and development agenda for open government. The agenda was produced in discussions among participants from the government (at the federal, state, and local levels), academic and civil sector communities at the Center for Technology in Government (CTG) at the University at Albany, SUNY in April 2011. The paper begins by discussing concepts central to understanding what is meant by an ecosystem and some principles that characterize its functioning. We then apply this metaphor more directly to government, proposing that policymakers engage in strategic ecosystems thinking, which means being guided by the goal of explicitly and purposefully constructing open government ecosystems. From there, we present the research agenda questions essential to the development of this new view of government's interaction with users and organizations. Our goal is to call attention to some of the fundamental ways in which government must change in order to evolve from outdated industrial bureaucratic forms to information age networked and interdependent systems.
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