research-article

Open data for competitive advantage: insights from open data use by companies

Authors:

Anneke Zuiderwijk,

Marijn Janssen,

Geerten van de KaaAuthors Info & Claims

dg.o '15: Proceedings of the 16th Annual International Conference on Digital Government Research

Pages 79 - 88

https://doi.org/10.1145/2757401.2757411

Published: 27 May 2015 Publication History

Abstract

Politicians have high expectations for commercial open data use. Yet, companies appear to challenge the assumption that open data can be used to create competitive advantage, since any company can access open data and since open data use requires scarce resources. In this paper we examine commercial open data use for creating competitive advantage from the perspective of Resource Based Theory (RBT) and Resource Dependency Theory (RDT). Based on insights from a scenario, interviews and a survey and from RBT and RDT as a reference theory, we derive seven propositions. Our study suggests that the generation of competitive advantage with open data requires a company to have in-house capabilities and resources for open data use. The actual creation of competitive advantage might not be simple. The propositions also draw attention to the accomplishment of unique benefits for a company through the combination of internal and external resources. Recommendations for further research include testing the propositions.

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Open data for competitive advantage: insights from open data use by companies

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cover image ACM Other conferences

dg.o '15: Proceedings of the 16th Annual International Conference on Digital Government Research

May 2015

369 pages

ISBN:9781450336000

DOI:10.1145/2757401

Conference Chairs:
Karen Mossberger
Arizona State University
,
Natalie Helbig
New York State Department of Health
,
Program Chairs:
Jing Zhang
Clark University
,
Yushim Kim
Arizona State University

Copyright © 2015 ACM.

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Published: 27 May 2015

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dg.o 2015: 16th Annual International Digital Government Research Conference

May 27 - 30, 2015

Arizona, Phoenix

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Lefebvre HKrasikov PLegner CFlourac G(2025)Data management as a joint value proposition—A design theory for horizontal data sharing communitiesElectronic Markets10.1007/s12525-025-00755-135:1Online publication date: 26-Feb-2025
https://doi.org/10.1007/s12525-025-00755-1
Lnenicka MMachova R(2024)How intentions to use of OGD and respective portals changed over time: evidence from a three-year study among Czech studentsOnline Information Review10.1108/OIR-05-2023-0231Online publication date: 3-Dec-2024
https://doi.org/10.1108/OIR-05-2023-0231
Wang YJiang HHan DZhou MLi G(2024)How top leaders’ support affects open government data (OGD)-driven innovation capacity of firms: Based on the TOE framework perspectiveJournal of Management & Organization10.1017/jmo.2023.68(1-17)Online publication date: 14-Mar-2024
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Shah SPeristeras VMagnisalis I(2024)A conceptual framework for the government big data ecosystem (‘datagov.eco’)Data & Knowledge Engineering10.1016/j.datak.2024.102348154:COnline publication date: 1-Nov-2024
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Krasikov PLegner C(2023)A Method to Screen, Assess, and Prepare Open Data for UseJournal of Data and Information Quality10.1145/360370815:4(1-25)Online publication date: 1-Nov-2023
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Buccafurri FDe Angelis VLazzaro S(2023)Enabling anonymized open-data linkage by authorized partiesJournal of Information Security and Applications10.1016/j.jisa.2023.10347874(103478)Online publication date: May-2023
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