Organizations decentered: Data objects, technology and knowledge
C Alaimo, J Kallinikos - Organization Science, 2022 - pubsonline.informs.org
Data are no longer simply a component of administrative and managerial work but a
pervasive resource and medium through which organizations come to know and act upon …
pervasive resource and medium through which organizations come to know and act upon …
Data sustainability: Data governance in data infrastructures across technological and human generations
SL Jarvenpaa, A Essén - Information and Organization, 2023 - Elsevier
The paper highlights the importance of data sustainability in the data infrastructures aimed at
long-term knowledge discoveries. Data sustainability refers to data's capacity to endure …
long-term knowledge discoveries. Data sustainability refers to data's capacity to endure …
The making of data commodities: Data analytics as an embedded process
This paper studies the process by which data are generated, managed, and assembled into
tradable objects we call data commodities. We link the making of such objects to the open …
tradable objects we call data commodities. We link the making of such objects to the open …
The ethics and politics of data sets in the age of machine learning: Deleting traces and encountering remains
NB Thylstrup - Media, Culture & Society, 2022 - journals.sagepub.com
Individuals and communities increasingly depend on, and fill their lives with, machine
cultures, in the form of both interfaces and infrastructures. This global push for machine …
cultures, in the form of both interfaces and infrastructures. This global push for machine …
From people to objects: the digital transformation of fields
C Alaimo - Organization Studies, 2022 - journals.sagepub.com
Digital technologies are reconfiguring organizations and their environments. Activities are
increasingly distributed across fields and coordinated by data, algorithms and machines …
increasingly distributed across fields and coordinated by data, algorithms and machines …
[HTML][HTML] Fusing domain knowledge with machine learning: A public sector perspective
L Sundberg, J Holmström - The Journal of Strategic Information Systems, 2024 - Elsevier
Abstract Machine learning (ML) offers widely-recognized, but complex, opportunities for both
public and private sector organizations to generate value from data. A key requirement is …
public and private sector organizations to generate value from data. A key requirement is …
Data network effects: Key conditions, shared data, and the data value duality
Clough and Wu (2022) provide an interesting and thought-provoking response to our article
(Gregory, Henfridsson, Kaganer, & Kyriakou, 2021) on the role of artificial intelligence (AI) …
(Gregory, Henfridsson, Kaganer, & Kyriakou, 2021) on the role of artificial intelligence (AI) …
[HTML][HTML] Resourcing with data: Unpacking the process of creating data-driven value propositions
This paper examines how organizations create data-driven value propositions. Data-driven
value propositions define what customer value is created based on data. We study the …
value propositions define what customer value is created based on data. We study the …
The performative production of trace data in knowledge work
A Aaltonen, M Stelmaszak - Information Systems Research, 2024 - pubsonline.informs.org
The digitalization of organizational settings can provide seemingly unprecedented visibility
into knowledge work practices through trace data. Although trace data could be a boon for …
into knowledge work practices through trace data. Although trace data could be a boon for …
Politics of data reuse in machine learning systems: Theorizing reuse entanglements
Policy discussions and corporate strategies on machine learning are increasingly
championing data reuse as a key element in digital transformations. These aspirations are …
championing data reuse as a key element in digital transformations. These aspirations are …