Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach

Hajiheydari, N., Delgosha, M.S., Wang, Y. orcid.org/0000-0003-1575-0245 et al. (1 more author) (2021) Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach. Industrial Management & Data Systems, 121 (12). pp. 2498-2529. ISSN 0263-5577

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Copyright, Publisher and Additional Information: © 2021, Emerald Publishing Limited. This is an author-produced version of a paper subsequently published in Industrial Management and Data Systems. This version is distributed under the terms of the Creative Commons Attribution-NonCommercial Licence (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use the material for commercial purposes.
Keywords: Big data analytics (BDA); Delphi; Interpretive structural modelling (ISM); Fuzzy MICMAC; Enablers; Banking and financial service
Dates:
  • Accepted: 5 July 2021
  • Published (online): 18 August 2021
  • Published: 10 November 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Sheffield University Management School
Depositing User: Symplectic Sheffield
Date Deposited: 01 Oct 2021 10:19
Last Modified: 10 Mar 2022 14:21
Status: Published
Publisher: Emerald
Refereed: Yes
Identification Number: https://doi.org/10.1108/imds-04-2021-0209
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