RETRACTED: Organizational performance and capabilities to analyze big data: do the ambidexterity and business value of big data analytics matter?
Business Process Management Journal
ISSN: 1463-7154
Article publication date: 24 June 2021
Issue publication date: 3 August 2021
Retraction notice
The publishers of the Business Process Management Journal wish to retract the article Aljumah, A.I., Nuseir, M.T. and Alam, M.M. (2021), “Organizational performance and capabilities to analyze big data: do the ambidexterity and business value of big data analytics matter?”, Business Process Management Journal, Vol. 27 No. 4, pp. 1088-1107. https://doi.org/10.1108/BPMJ-07-2020-0335
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions. The authors of this paper would like to note that they do not agree with the content of this notice. The publisher of the journal sincerely apologizes to the readers and authors, who were not found to be involved in any malpractice.
Abstract
Purpose
The aim of the study is to examine the impact of the big data analytics capabilities (BDAC) on the organizational performance. The study also examines the mediating role of ambidexterity and the moderating role of business value of big data (BVBD) analytics in the relationship between the big data analytics capabilities and the organizational performance.
Design/methodology/approach
This study collected primary data based on a questionnaire survey among the large manufacturing firms operating in UAE. A total of 650 questionnaires were distributed among the manufacturing firms and 295 samples were used for final data analysis. The survey was conducted from September to November in 2019, and data were analyzed based on partial least squares structural equation modeling (PLS-SEM).
Findings
The big data analysis (BDA) scalability is supported by the findings on the performance of firm and its determinants such as system, value of business and quality of information. The roles of business value as a moderator and ambidexterity as mediator are found significant. The results reveal that there is a need for managers to consider the business value and quality dynamics as crucial strategic objectives to achieve high performance of the firm.
Research limitations/implications
The study has significant policy implication for practitioners and researchers for understanding the issues related to big data analytics.
Originality/value
This is an original study based on primary data from UAE manufacturing firms.
Keywords
Citation
Aljumah, A.I., Nuseir, M.T. and Alam, M.M. (2021), "RETRACTED: Organizational performance and capabilities to analyze big data: do the ambidexterity and business value of big data analytics matter?", Business Process Management Journal, Vol. 27 No. 4, pp. 1088-1107. https://doi.org/10.1108/BPMJ-07-2020-0335
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited