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

Research output: Contribution to ConferenceAbstractProfessional

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

Fingerprint

Gold
Postal services
Processing
Big data

Bibliographical note

Research-in-progress presented as poster

Keywords

  • Big data, Value creation, Value appropriation

Cite this

Günther, W., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, J. F. M. (2017). Rushing for Gold: Tensions in Creating and Appropriating Value from Big Data. Abstract from International Conference on Information Systems 2017, Seoul, Korea, Democratic People's Republic of.
Günther, Wendy ; Rezazade Mehrizi, M.H. ; Huysman, Marleen ; Feldberg, J.F.M. / Rushing for Gold : Tensions in Creating and Appropriating Value from Big Data. Abstract from International Conference on Information Systems 2017, Seoul, Korea, Democratic People's Republic of.
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title = "Rushing for Gold: Tensions in Creating and Appropriating Value from Big Data",
abstract = "We study how a European postal service organization (LogiCo) tried tocreate and appropriate value from big data. Our analysis uncovers fourtensions shaping this process: 1) Using existing data versus finding dataelsewhere; 2) Thin versus thick processing of data; 3) Self-analytics versusanalytics service, and 4) Ex-ante versus ex-post proof of data value. Wediscuss how these tensions may have emerged by looking at the nature ofthe data and see three characteristics playing a role: granularity (the levelof detail of the data), interconnectivity (being able to combine differentdata), and portability (being able to transfer and remotely access data).We argue that realizing value from big data is not a linear andstraightforward process, but involves continuously playing with itscharacteristics. Finally, our findings implicate the need for value cocreationwhen trying to create and appropriate value from big data.",
keywords = "Big data, Value creation, Value appropriation",
author = "Wendy G{\"u}nther and {Rezazade Mehrizi}, M.H. and Marleen Huysman and J.F.M. Feldberg",
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year = "2017",
month = "12",
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language = "English",
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Günther, W, Rezazade Mehrizi, MH, Huysman, M & Feldberg, JFM 2017, 'Rushing for Gold: Tensions in Creating and Appropriating Value from Big Data' International Conference on Information Systems 2017, Seoul, Korea, Democratic People's Republic of, 10/12/17 - 13/12/17, .

Rushing for Gold : Tensions in Creating and Appropriating Value from Big Data. / Günther, Wendy; Rezazade Mehrizi, M.H.; Huysman, Marleen; Feldberg, J.F.M.

2017. Abstract from International Conference on Information Systems 2017, Seoul, Korea, Democratic People's Republic of.

Research output: Contribution to ConferenceAbstractProfessional

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T2 - Tensions in Creating and Appropriating Value from Big Data

AU - Günther, Wendy

AU - Rezazade Mehrizi, M.H.

AU - Huysman, Marleen

AU - Feldberg, J.F.M.

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Y1 - 2017/12/10

N2 - We study how a European postal service organization (LogiCo) tried tocreate and appropriate value from big data. Our analysis uncovers fourtensions shaping this process: 1) Using existing data versus finding dataelsewhere; 2) Thin versus thick processing of data; 3) Self-analytics versusanalytics service, and 4) Ex-ante versus ex-post proof of data value. Wediscuss how these tensions may have emerged by looking at the nature ofthe data and see three characteristics playing a role: granularity (the levelof detail of the data), interconnectivity (being able to combine differentdata), and portability (being able to transfer and remotely access data).We argue that realizing value from big data is not a linear andstraightforward process, but involves continuously playing with itscharacteristics. Finally, our findings implicate the need for value cocreationwhen trying to create and appropriate value from big data.

AB - We study how a European postal service organization (LogiCo) tried tocreate and appropriate value from big data. Our analysis uncovers fourtensions shaping this process: 1) Using existing data versus finding dataelsewhere; 2) Thin versus thick processing of data; 3) Self-analytics versusanalytics service, and 4) Ex-ante versus ex-post proof of data value. Wediscuss how these tensions may have emerged by looking at the nature ofthe data and see three characteristics playing a role: granularity (the levelof detail of the data), interconnectivity (being able to combine differentdata), and portability (being able to transfer and remotely access data).We argue that realizing value from big data is not a linear andstraightforward process, but involves continuously playing with itscharacteristics. Finally, our findings implicate the need for value cocreationwhen trying to create and appropriate value from big data.

KW - Big data, Value creation, Value appropriation

UR - http://aisel.aisnet.org/icis2017/Strategy/Presentations/4/

M3 - Abstract

ER -

Günther W, Rezazade Mehrizi MH, Huysman M, Feldberg JFM. Rushing for Gold: Tensions in Creating and Appropriating Value from Big Data. 2017. Abstract from International Conference on Information Systems 2017, Seoul, Korea, Democratic People's Republic of.