Towards Supply Chain Visibility Using Internet of Things:A Dyadic Analysis Review


The Internet of Things (IoT) and its benefits and challenges are the most emergent research topics among academics and practitioners. With supply chains (SCs) gaining rapid complexity, having high supply chain visibility (SCV) would help companies ease the processes and reduce complexity by improving inaccuracies. Extant literature has given attention to the organisation’s capability to collect and evaluate information to balance between strategy and goals. The majority of studies focus on investigating IoT’s impact on different areas such as sustainability, organisational structure, lean manufacturing, product development, and strategic management. However, research investigating the relationships and impact of IoT on SCV is minimal. This study closes this gap using a structured literature review to critically analyse existing literature to synthesise the use of IoT applications in SCs to gain visibility, and the SC. We found key IoT technologies that help SCs gain visibility, and seven benefits and three key challenges of these technologies. We also found the concept of Supply 4.0 that grasps the element of Industry 4.0 within the SC context. This paper contributes by combining IoT application synthesis, enablers, and challenges in SCV by highlighting key IoT technologies used in the SCs to gain visibility. Finally, the authors propose an empirical research agenda to address the identified gaps.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences
Additional Information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Uncontrolled Keywords: Industry 4.0,IoT,Supply 4.0,Supply chain visibility,Analytical Chemistry,Information Systems,Atomic and Molecular Physics, and Optics,Biochemistry,Instrumentation,Electrical and Electronic Engineering
Publication ISSN: 1424-8220
Last Modified: 11 Jun 2024 07:31
Date Deposited: 21 Jun 2021 08:29
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Related URLs: https://www.mdp ... 8220/21/12/4158 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2021-06-17
Accepted Date: 2021-06-14
Authors: Ahmed, Shehzad
Kalsoom, Tahera
Ramzan, Naeem
Pervez, Zeeshan
Azmat, Muhammad (ORCID Profile 0000-0002-8894-3737)
Zeb, Bassam
Ur Rehman, Masood



Version: Published Version

License: Creative Commons Attribution

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