Understanding Ecosystem Data

dc.contributor.author Basole, Rahul
dc.date.accessioned 2020-01-04T08:22:22Z
dc.date.available 2020-01-04T08:22:22Z
dc.date.issued 2020-01-07
dc.description.abstract There is a growing body of empirical studies on business ecosystems. Driven by different questions these studies typically employ a wide variety of data sources – ranging from open to proprietary, structured to unstructured – that contain a broad range of entities, relationships, activities, and issues of interest. Individually, these data sources offer the ability to investigate very targeted business ecosystem questions. However, when linked and combined these data sources can potentially open up many new lines of inquiry. The purpose of this study is to provide an overview of the scope and complexity of the business ecosystem data landscape, discuss what type(s) of information is captured in them, identify how data sources overlap and differ, discuss strengths and weaknesses, and suggest new types of analyses that could be generated when combined. In doing so this study aims to help researchers and practitioners with the data identification and selection process and stimulate novel data-driven ecosystem intelligence. The study concludes with theoretical and managerial implications.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.702
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64444
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Managing the Dynamics of Platforms and Ecosystems
dc.subject data
dc.subject ecosystem
dc.subject visualization
dc.title Understanding Ecosystem Data
dc.type Conference Paper
dc.type.dcmi Text
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