Minding the Data: Strategizing with Data to Create and Appropriate Value

Wendy Günther; M.H. Rezazade Mehrizi; Marleen Huysman; J.F.M. Feldberg

Abstract

In this study, we unpack how data-driven value realization can be understood from a practice view. Specifically, we study how a European postal service organization, LogiCo, strategizes with data to create and appropriate value. We identify three shifts in time when members of the organization changed their assumptions about what data are relevant, what data properties are central to realizing value, and how they should strategize with data. Our study empirically shows that several attributes of the data may not be fully understood until actors work with them, and that in doing so, unforeseen strategic opportunities and challenges emerge.

Original language	English
Publication status	Unpublished - 18 Apr 2018
Event	Academy of Management Specialized Conference 2018: Big Data and Managing in a Digital Economy - University of Surrey, Surrey, United Kingdom Duration: 18 Apr 2018 → 20 Apr 2018 http://bigdata.aom.org/ehome/index.php?eventid=245645&

Conference

Conference	Academy of Management Specialized Conference 2018
Abbreviated title	AOM big data 2018
Country	United Kingdom
City	Surrey
Period	18/04/18 → 20/04/18
Internet address	http://bigdata.aom.org/ehome/index.php?eventid=245645&

Bibliographical note

Submitted proposal, presented full paper

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Cite this

@conference{a2f1aae133b4461eb3dab17bad9b98ab,

title = "Minding the Data: Strategizing with Data to Create and Appropriate Value",

abstract = "In this study, we unpack how data-driven value realization can be understood from a practice view. Specifically, we study how a European postal service organization, LogiCo, strategizes with data to create and appropriate value. We identify three shifts in time when members of the organization changed their assumptions about what data are relevant, what data properties are central to realizing value, and how they should strategize with data. Our study empirically shows that several attributes of the data may not be fully understood until actors work with them, and that in doing so, unforeseen strategic opportunities and challenges emerge.",

author = "Wendy G{\"u}nther and {Rezazade Mehrizi}, M.H. and Marleen Huysman and J.F.M. Feldberg",

note = "Submitted proposal, presented full paper; Academy of Management Specialized Conference 2018 : Big Data and Managing in a Digital Economy, AOM big data 2018 ; Conference date: 18-04-2018 Through 20-04-2018",

year = "2018",

month = apr,

day = "18",

language = "English",

url = "http://bigdata.aom.org/ehome/index.php?eventid=245645&",

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TY - CONF

T1 - Minding the Data

T2 - Academy of Management Specialized Conference 2018

AU - Günther, Wendy

AU - Rezazade Mehrizi, M.H.

AU - Huysman, Marleen

AU - Feldberg, J.F.M.

N1 - Submitted proposal, presented full paper

PY - 2018/4/18

Y1 - 2018/4/18

N2 - In this study, we unpack how data-driven value realization can be understood from a practice view. Specifically, we study how a European postal service organization, LogiCo, strategizes with data to create and appropriate value. We identify three shifts in time when members of the organization changed their assumptions about what data are relevant, what data properties are central to realizing value, and how they should strategize with data. Our study empirically shows that several attributes of the data may not be fully understood until actors work with them, and that in doing so, unforeseen strategic opportunities and challenges emerge.

AB - In this study, we unpack how data-driven value realization can be understood from a practice view. Specifically, we study how a European postal service organization, LogiCo, strategizes with data to create and appropriate value. We identify three shifts in time when members of the organization changed their assumptions about what data are relevant, what data properties are central to realizing value, and how they should strategize with data. Our study empirically shows that several attributes of the data may not be fully understood until actors work with them, and that in doing so, unforeseen strategic opportunities and challenges emerge.

M3 - Abstract

Y2 - 18 April 2018 through 20 April 2018

ER -