Issue |
SHS Web Conf.
Volume 129, 2021
The 21st International Scientific Conference Globalization and its Socio-Economic Consequences 2021
|
|
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Article Number | 02002 | |
Number of page(s) | 8 | |
Section | Behavioral Economics and Decision-Making | |
DOI | https://doi.org/10.1051/shsconf/202112902002 | |
Published online | 16 December 2021 |
An analysis of open data as a location factor
Berlin School of Economics and Law, Department of Business and Economics, Badensche Straße 52, 10825 Berlin, Germany
* Corresponding author: sebastian.block@hwr-berlin.de
Research background: The publication of data in Germany introduces a paradigm shift in public administrations. The data silos of the administrations are thus being opened up piece by piece. There are many possible applications for these data. Optimized location determination for trade, production, and services is one of these many possible applications. It has been shown that the provision of open data can achieve economic effects and set value chains in motion. The value creation effects can arise directly, indirectly, or downstream. Public data can thus become a relevant location factor for regions and cities.
Purpose of the article: The various implications of opening up data in context with location determination will be examined in this article. This will be done from an economic perspective, highlighting the positive externalities of open data.
Methods: The published data of administrations will be analyzed based on a German data bank of 12,020 datasets concerning their relevance for determining location. For this purpose, hard and soft location criteria will be defined in advance.
Findings & Value added: The result of the study will be a newly developed publication strategy for German public administrations on location criteria. With the help of this publication strategy, open data should function as a location advantage and initiate value creation effects.
Key words: open data / open data portals / location factors / digitalization
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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