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

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

Content Provider	MDPI
Author	Ahmed, Shehzad Kalsoom, Tahera Ramzan, Naeem Pervez, Zeeshan Azmat, Muhammad Zeb, Bassam Rehman, Masood Ur
Copyright Year	2021
Description	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.
Starting Page	4158
e-ISSN	14248220
DOI	10.3390/s21124158
Journal	Sensors
Issue Number	12
Volume Number	21
Language	English
Publisher	MDPI
Publisher Date	2021-06-17
Access Restriction	Open
Subject Keyword	Sensors Information Systems Iot Industry 4.0 Supply Chain Visibility Supply 4.0
Content Type	Text
Resource Type	Article

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