Organizational tensions arising from mandatory data exchange between the private and public sector: The case of financial services

Kirstie Ball, Ana Canhoto, Elizabeth Daniel, Sally Dibb, Maureen Meadows, Keith Spiller

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
88 Downloads (Pure)


This paper examines the organizational tensions arising from mandatory data exchange initiatives between private and public organizations. The focus is the UK financial services sector, which is required to monitor and report on customer identities and transactions under the country's Anti-Money Laundering/Counter-Terrorist Finance (AML/CTF) regulations. The transferred data are generated from existing organizational activities, systems, processes and working patterns; we examine how government demands for such data affect commercial priorities, customer relationships and working patterns in the sector. We adopt an exploratory approach to investigate this phenomenon, consisting of 16 in-depth interviews, analysis of documents and two case studies. Three contributions are made. First, we use remediation theory to show that existing organizational arrangements are reconfigured at multiple analytical levels, creating tensions between the organizations’ commercial and compliance roles. Second, we establish the information flow as an appropriate unit of analysis in the study of data exchange mechanisms and reveal the flows that characterise AML/CTF compliance for financial services organizations. Finally, we adopt a ‘set theoretic’ perspective on multi-level organizational research, to argue that the multi-level effects of this regulation can be examined in parallel.

Original languageEnglish
Article number119996
JournalTechnological Forecasting and Social Change
Early online date16 Mar 2020
Publication statusPublished - 1 Jun 2020

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 155, (2020) DOI: 10.1016/j.techfore.2020.119996

© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.



  • Anti-money laundering
  • Counter-terrorist finance
  • Data exchange mechanisms
  • Financial services
  • information flows
  • Multi-level analysis
  • Remediation

ASJC Scopus subject areas

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation


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