Data Philanthropy: An Explorative Study

Simple item page
dc.contributor.authorGeorge, Jordana
dc.contributor.authorYan, Jie (Kevin)
dc.contributor.authorLeidner, Dorothy
dc.date.accessioned2019-01-03T00:43:01Z
dc.date.available2019-01-03T00:43:01Z
dc.date.issued2019-01-08
dc.description.abstractData philanthropy, which is firm donations of data, data scientists, and data technologies for social good, is a powerful new phenomenon that offers benefits to both donor firms and society. In this explorative research, we unpack data philanthropy, providing definitions, and examples along with a theoretical perspective from corporate philanthropy and strategic management. We view data through a lens from the resource-based view of the firm. Based on the premise that data is an asset of the firm, we discuss how data philanthropy conforms and differs from traditional corporate philanthropy. Given data’s requirements for substantial complementary assets and appropriate context, we propose that data can be shared for social good without harming the firm and may result in unforeseen benefits for the firm. In analyzing three examples, we offer several propositions regarding this new phenomenon.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.707
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/60021
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management
dc.subjectOrganizational Systems and Technology
dc.subjectCase Study, Complementary Assets, Data Philanthropy, Resource-Based View
dc.titleData Philanthropy: An Explorative Study
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0581.pdf
Size:
409.41 KB
Format:
Adobe Portable Document Format
Download

Collections

Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management