Rushing for Gold: Tensions in Creating and Appropriating Value from Big Data

Research output: Contribution to ConferencePosterAcademic

Abstract

We study how a European postal service organization (LogiCo) tried to
create and appropriate value from big data. Our analysis uncovers four
tensions shaping this process: 1) Using existing data versus finding data
elsewhere; 2) Thin versus thick processing of data; 3) Self-analytics versus
analytics service, and 4) Ex-ante versus ex-post proof of data value. We
discuss how these tensions may have emerged by looking at the nature of
the data and see three characteristics playing a role: granularity (the level
of detail of the data), interconnectivity (being able to combine different
data), and portability (being able to transfer and remotely access data).
We argue that realizing value from big data is not a linear and
straightforward process, but involves continuously playing with its
characteristics. Finally, our findings implicate the need for value cocreation
when trying to create and appropriate value from big data.
Original languageEnglish
Publication statusPublished - 10 Dec 2017
EventInternational Conference on Information Systems 2017 - Korea, Seoul, Korea, Democratic People's Republic of
Duration: 10 Dec 201713 Dec 2017
http://icis2017.aisnet.org

Conference

ConferenceInternational Conference on Information Systems 2017
Abbreviated titleICIS 2017
CountryKorea, Democratic People's Republic of
CitySeoul
Period10/12/1713/12/17
Internet address

Bibliographical note

Research-in-progress presented as poster

Keywords

  • Big data, Value creation, Value appropriation

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