Open Innovation, Open Data and New Business Models

Zimmermann, Hans‐Dieter; Pucihar, Andreja

doi:10.2139/ssrn.2660692

Cited by 21 publications

(20 citation statements)

References 4 publications

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“…The advantages of the two-case method are more robust findings, higher generalizability, and less bias than if only one case were analyzed. This approach is consistent with prior studies who use multiple case studies to examine the adoption of OGD [14,15,33,69].…”

Section: Case Study Approach and Industry Selectionsupporting

confidence: 75%

“…OGD can also lead to the generation of new and innovative business models and business intelligence. Two case studies exemplify how OGD is being used to create innovative business models in different sectors of the economy [33]. The Climate Company, based in San Francisco, used weather data along with public satellite data to create a climate platform that assists farmers in making operating and financing decisions, which ultimately affect their decision to underwrite weather insurance for farmers.…”

Section: Business Intelligence and Open Government Datamentioning

confidence: 99%

“…As our study performs exploratory research on the usage of OGD to create business intelligence, which is a relatively unexplored area of research, the use of case studies is appropriate [68]. We specifically selected a two-case approach because it permits us to examine value creation from two different industries and provides a richer viewpoint of how OGD data can be used to create business intelligence [33]. The advantages of the two-case method are more robust findings, higher generalizability, and less bias than if only one case were analyzed.…”

Section: Case Study Approach and Industry Selectionmentioning

confidence: 99%

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Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

Gottfried

Hartmann

Yates

2021

JTAER

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The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

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Section: Case Study Approach and Industry Selectionsupporting

confidence: 75%

Section: Business Intelligence and Open Government Datamentioning

confidence: 99%

Section: Case Study Approach and Industry Selectionmentioning

confidence: 99%

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Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

Gottfried

Hartmann

Yates

2021

JTAER

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“…For example, financial authorities in many countries require companies to disclose their financial status using eXtensible Business Reporting Language (XBRL), which is a markup language used for corporate electronic accounting reporting [19]. Business models that use open data from aggregators, brokers, and service providers have been reported [20,21], and Zimmermann and Pucihar highlighted the value of open data sources [22].…”

Section: Research Questions and Related Workmentioning

confidence: 99%

Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform

Hayashi

Sakaji

Matsushima

et al. 2021

Rev Socionetwork Strat

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In recent years, rather than enclosing data within a single organization, exchanging and combining data from different domains has become an emerging practice. Many studies have discussed the economic and utility value of data and data exchange, but the characteristics of data that contribute to problem-solving through data combination have not been fully understood. In big data and interdisciplinary data combinations, large-scale data with many variables are expected to be used, and value is expected to be created by combining data as much as possible. In this study, we conducted three experiments to investigate the characteristics of data, focusing on the relationships between data combinations and variables in each dataset, using empirical data shared by the local government. The results indicate that even datasets that have a few variables are frequently used to propose solutions for problem-solving. Moreover, we found that even if the datasets in the solution do not have common variables, there are some well-established solutions to these problems. The findings of this study shed light on the mechanisms behind data combination for solving problems involving multiple datasets and variables.

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“…Promoting Innovation: Open data has been seen to have a significant positive impact on the creation of economic value by supporting increased rates of innovation [43,44]. The use of open data creates multiple business opportunities for companies: both established firms [44], as well as SMEs and entrepreneurs [39], can use open data in combination with new technologies and existing proprietary information to develop new products and services, improve existing offerings, and drive forms of innovative entrepreneurship that are at once commercially profitable and beneficial for the public good [22]. The full business potential of open data cannot, however, be harnessed if governments withhold access to particular datasets or privilege the release of certain types over others [45].…”

Section: Generating Economic Value Through Open Data Encouraging Entrepreneurshipmentioning

confidence: 99%

Exploring Open Data State-of-the-Art: A Review of the Social, Economic and Political Impacts

Virkar

Pereira

2018

Lecture Notes in Computer Science

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This research paper explores the impact that the access to, and free usage of, stored (mainly public sector) data has on society, the economy and on good governance, together with the implications of this new paradigm for modern-day governments. Although a number of recent research studies attempt to identify the benefits and drawbacks of open data, or to demonstrate its role in governance processes, there exists to-date no systematic attempt to both rigorously survey current literature to enumerate the areas in which open data has had an impact and to discuss its potential as a significant tool for policymaking.To address this research gap, and to highlight its intrinsic value to different actors, we examine the current state-of-the-art on the impacts of open data research and practice through a systematic survey of extant scholarly and practitioner literature. The first part of our study will present a comprehensive overview of the societal, economic, and political impacts of open data. We will then evaluate the new possibilities afforded by open data to policymaking, and conclude with a discussion of its role in open governance.

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Open Innovation, Open Data and New Business Models

Cited by 21 publications

References 4 publications

Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform

Exploring Open Data State-of-the-Art: A Review of the Social, Economic and Political Impacts

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