Business models for open government data (original) (raw)
Related papers
Open government data and the private sector: An empirical view on business models and value creation
Government Information Quarterly, 2017
The release of government data in an open format is broadly expected to generate innovation and economic value. However, despite the emerging public notoriety of this issue, literature is still scarce regarding the commercial application of open government data. The main goal of this study is to understand how firms use open government data to create value. More specifically, we aim to identify what types of use are currently in place and which industries are more prominent in exploiting open government data. Building on the analysis of a dataset of 178 firms that use open government data across various industries in the U.S. we find twelve different atomic models. Additionally, our findings suggest that the way in which open government is used to create value is contingent to the firms' activities. Supported by robust empirical data, we anticipate that our research produces practical insights to entrepreneurs as well as firm managers in deriving value from public datasets, and equip government officials with relevant evidence for advocacy and policy-making.
AO 05 Business models adopted by intermediaries in the use of open government data
2016
After the adoption of open data policies by governments around the world, new business models began to explore the databases opened and create new products and services that may or not generate revenue for its providers. From this scenario, this study aimed to understand the business models adopted by service providers that use open government databases or databases built from public data and data captured by tools resulting from these new products and services. Therefore, we analyzed seven cases of businesses awarded in prizes that had evaluation criteria such as innovation, technology and services to the population. This qualitative study aimed to identify evidences of phenomena relating to the use of open government databases, the participation of these service providers in the open government data value chain and features present in their business models that could be replicated in new cases. The main findings revealed that business models need to create databases that standardi...
Exploring the economic value of open government data
Government Information Quarterly, 2016
Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on Open Data Business Models (ODBMs) are predominantly in the practice community. This shortcoming has resulted in a growing list of ODBMs which, on closer examination, are not clearly delineated and lack clear value orientation. This has made the understanding of value creation and exploitation mechanisms in existing open data businesses difficult and challenging to transfer. Following the Design Science Research (DSR) tradition, we developed a 6-Value (6-V) business model framework as a design artifact to facilitate the explication and detailed analysis of existing ODBMs in practice. Based on the results from the analysis, we identify business model patterns and emerging core value disciplines for open data businesses. Our results not only help streamline existing ODBMs and help in linking them to the overall business strategy, but could also guide governments in developing the required capabilities to support and sustain the business models.
Emerging business models for the open data industry
Proceedings of the 15th Annual International Conference on Digital Government Research - dg.o '14, 2014
Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on open data business models are predominantly in the practice community. This shortcoming has resulted in a growing list of open data business models which, on closer examination, are not clearly delineated and lack clear value orientation. We address this problem by 1) consolidating reported open data business models in both academic and practice literature, 2) describe the models based on a business model framework, and 3) determine open data business models patterns. In addition, we identified the emerging core value disciplines for open data businesses. Our results help to streamline existing useful models, and link them to the overall business strategy through value disciplines.
The Value of Open Government Data: A Strategic Analysis Framework
Government data has been accumulated for centuries in protected repositories and registries as public record and a matter of civil order. Recently, the Open Government Data (OGD) movement has emerged as a group that focuses on facilitating open access to government data. Proponents of OGD initiatives argue that it can strengthen democracy and improve government through increased participation, collaboration and transparency. OGD advocates are also motivated by its potential contribution to greater productivity and economic growth through increased government efficiency and the creation of new businesses and services. However, as most OGD initiatives are relatively recent, the key questions regarding the value propositions and return on investment of these initiatives remain unanswered. In this theory development paper, we propose a strategic options framework that offers criteria for generating and prioritizing OGD initiatives. The framework can guide structured analysis of the economic and social impacts of OGD with an emphasis on its value propositions for both the public and private sectors. Building on a literature review and fieldwork-based anecdotal evidence, we expect OGD initiatives to generate value and substantial returns through increased transparency, efficiency of government activities, citizen participation and entrepreneurial activity.
Open Innovation, Open Data and new Business Models
Open government data are the result of as well as the preconditions for open government. Data made publically accessible are an important basis for creating added value for society as a whole. Open data business models support entrepreneurs in reusing and combining available open data sources to provide value-added services. Three cases show how open data business models can be realized.
The Sustainable Value of Open Government Data
Journal of the Association for Information Systems, 2019
The exponentially growing availability of data, global connectivity, and trends toward increased openness and sharing are turning into a powerful force that is changing the global economy and society. Governments around the world have become active participants in this evolution by opening up their data for access and re-use by public and private agents alike. The recent phenomenon of Open Government Data (OGD) has spread around the world, driven by the proposition that opening government data has the ability to generate both economic and social value. However, a review of the academic research and the popular press reveals only sporadic attention given to various aspects with no overarching framework that explains how OGD generates value. We apply a critical realist approach to uncover the generative mechanisms that serve to explain this relationship. First, we present a strategic framework with four archetypical generative mechanisms. The framework outlines the different pathways to value generation and highlights the current tension between the private/public and economic/social domains. Second, we offer a conceptual model that provides a systematic way of articulating and examining further the generation of value from OGD.
Generating value from open government data
A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.
Open Government Data: Fostering Innovation
JeDEM - eJournal of eDemocracy and Open Government
The provision of public information contributes to the enrichment and enhancement of the data produced by the government as part of its activities, and the transformation of heterogeneous data into information and knowledge. This process of opening changes the operational mode of public administrations, leveraging the data management, encouraging savings and especially in promoting the development of services in subsidiary and collaborative form between public and private entities. The demand for new services also promotes renewed entrepreneurship centred on responding to new social and territorial needs through new technologies. In this sense we speak of Open Data as an enabling infrastructure for the development of innovation and as an instrument to the development and diffusion of Innovation and Communications Technology (ICT) in the public system as well as creating space for innovation for businesses, particularly SMEs, based on the exploitation of information assets of the ter...
Information Polity, 2018
Open government data (OGD) can enable outbound open innovation (OI) that is beneficial to society. However, innovation barriers hinder OGD users from generating value. While previous studies have detailed a large number of such barriers, little is known of how different types of OGD users are affected, and when the barriers appear in their innovation processes. To this end, this paper describes a case study of distributed service development in the Swedish public transport sector. The contribution to extant research is twofold. Firstly, based on an inductive analysis, three OGD user archetypes are proposed: employees, entrepreneurs and hobbyists. Secondly, the study finds that the significance of distinct innovation barriers varies across phases of the services' lifecycles and depending on the OGD users' motivation, objective, preconditions and approach. Drawing on these insights, we propose that OGD initiatives aimed at facilitating outbound OI to a greater extent should address the barriers that appear during diffusion of innovations, the barriers that are not directly related to the OGD provision, and the barriers that are experienced by non-obvious OGD user groups.