Literature DB >> 34204434

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

Shehzad Ahmed1, Tahera Kalsoom2, Naeem Ramzan2, Zeeshan Pervez2, Muhammad Azmat3, Bassam Zeb1, Masood Ur Rehman4.   

Abstract

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.

Entities:  

Keywords:  Industry 4.0; IoT; Supply 4.0; supply chain visibility

Year:  2021        PMID: 34204434     DOI: 10.3390/s21124158

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19.

Authors:  Li Cui; Hao Wu; Lin Wu; Ajay Kumar; Kim Hua Tan
Journal:  Ann Oper Res       Date:  2022-05-24       Impact factor: 4.820

  1 in total

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