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The Internet of Things, dynamic data and information processing capabilities, and operational agility

Akhtar, Pervaiz; Khan, Zaheer; Tarba, Shlomo; Jayawickrama, Uchitha

Authors

Pervaiz Akhtar

Zaheer Khan

Shlomo Tarba

Uchitha Jayawickrama



Abstract

Whilst there are promising links between the Internet of Things (IoTs), dynamic data and information processing capabilities (DDIPCs), and operational agility, scholars have not conducted enough empirical studies that offer convincing evidence for the use of the IoTs and relevant linkages. This study therefore examines the links between such constructs and provides managerial implications for contemporary data and information driven managers who adopt evidence-based decision making for better operational outcomes. The results obtained from structural equation modelling indicate that the use of the IoTs is the key determinant for operational agility and also plays a vital role in establishing DDIPCs that further reinforce it. Additionally, DDIPCs mediate the relationship between the use of the IoTs and operational agility. By persuasively building these links based on theoretical arguments and testing them by using a unique dataset, this study contributes to the deeper understanding of the mechanisms by which the use of the IoTs and DDIPCs strengthen operational agility.

Citation

Akhtar, P., Khan, Z., Tarba, S., & Jayawickrama, U. (2018). The Internet of Things, dynamic data and information processing capabilities, and operational agility. Technological Forecasting and Social Change, 136, 307-316. https://doi.org/10.1016/j.techfore.2017.04.023

Journal Article Type Article
Acceptance Date Apr 26, 2017
Online Publication Date May 4, 2017
Publication Date Nov 1, 2018
Deposit Date Sep 8, 2018
Publicly Available Date Nov 5, 2018
Journal Technological Forecasting and Social Change
Print ISSN 0040-1625
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 136
Pages 307-316
DOI https://doi.org/10.1016/j.techfore.2017.04.023
Keywords Management of Technology and Innovation; Applied Psychology; Business and International Management
Public URL https://hull-repository.worktribe.com/output/1029540
Publisher URL https://www.sciencedirect.com/science/article/pii/S0040162517305504?via%3Dihub
Copyright Statement © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

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