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Lookup NU author(s): Professor Savvas PapagiannidisORCiD
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© 2021 Elsevier Inc.Big Data is becoming ubiquitous - widely applied across organisations, industry sectors and society. However, the opportunities and risks it presents are not yet fully understood. In this paper we identify and explore the tensions that Big Data can create at multiple levels, focusing on the need for organisations to meet the challenges that can arise. We draw on insights from twelve papers published in the Special Issue of Technological Forecasting & Social Change entitled “Tension in the Data Environment: Can Organisations Meet the Challenge?” in order to build a ‘Multi-Layer Tensions Model’ that highlights key pressures and challenges in the BD environment. We find evidence of tensions of three types, which we summarise as “Organisational Learning”, “Organisational Leadership” and “Societal” tensions. We contribute, first, by identifying and developing a nuanced understanding of the tensions faced in the Big Data environment; and second, by elaborating on the capabilities that can be developed and the actions taken to maximise the benefits of Big Data. We end with a “Learning, Leading, Linking” framework, which points to implications for practice and a future research agenda.
Author(s): Meadows M, Merendino A, Dibb S, Garcia-Perez A, Hinton M, Papagiannidis S, Pappas I, Wang H
Publication type: Editorial
Publication status: Published
Journal: Technological Forecasting and Social Change
Year: 2021
Volume: 175
Print publication date: 01/02/2022
Online publication date: 30/10/2021
Acceptance date: 23/10/2021
ISSN (print): 0040-1625
ISSN (electronic): 1873-5509
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.techfore.2021.121315
DOI: 10.1016/j.techfore.2021.121315
