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The interplay between the Internet of things and supply chain management: challenges and opportunities based on a systematic literature review

The interplay between the Internet of things and supply chain management: challenges and... This study aims to identify and analyze how Internet of things (IoT) technology affects supply chain management (SCM) performance.Design/methodology/approachA systematic literature review was conducted (using Scopus, JSTOR, Emerald, ProQuest, Science Direct and Web of Science) covering a 20-year timeframe (2000–2020). Out of 2,572 papers identified, 171 peer-reviewed papers from the most important journals were selected. Content analysis was used following the Global Supply Chain Forum (GSCF) SCM framework.FindingsRegarding the GSCF SCM framework processes, most IoT-based studies have addressed improving order fulfilment, manufacturing flow management and demand management processes. However, no studies addressing the Supplier relationship management process were identified, suggesting that IoT-based applications are perceived to add more value in downstream than upstream SCM processes. The importance of using enabling technologies to realize the potential of value generation of IoT was also revealed. Findings suggest new research avenues related to product development and commercialization process, the supplier relationship management process, the returns management process, servitization strategies, new SCM models and new business models.Research limitations/implicationsThe review encompasses only academic papers from journals considered the most relevant (retrieved from specific databases), using the impact factor as the quality criterion.Practical implicationsThe findings can help business managers better understand the potential of IoT technology, such as the main applications identified in the literature and their impacts on SCM processes. Their importance in enabling technologies to leverage SCM performance is identified and the emerging SCM models/business models that IoT deployment can enable are highlighted.Originality/valueThis study contributes to filling a gap in the literature using a systematic literature review of how IoT technology affects SCM performance through content analysis, using an SCM framework to clarify which SCM processes are affected. Academic articles from the most important journals from 2000 to 2020 are identified. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Benchmarking: An International Journal Emerald Publishing

The interplay between the Internet of things and supply chain management: challenges and opportunities based on a systematic literature review

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1463-5771
DOI
10.1108/bij-02-2021-0085
Publisher site
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Abstract

This study aims to identify and analyze how Internet of things (IoT) technology affects supply chain management (SCM) performance.Design/methodology/approachA systematic literature review was conducted (using Scopus, JSTOR, Emerald, ProQuest, Science Direct and Web of Science) covering a 20-year timeframe (2000–2020). Out of 2,572 papers identified, 171 peer-reviewed papers from the most important journals were selected. Content analysis was used following the Global Supply Chain Forum (GSCF) SCM framework.FindingsRegarding the GSCF SCM framework processes, most IoT-based studies have addressed improving order fulfilment, manufacturing flow management and demand management processes. However, no studies addressing the Supplier relationship management process were identified, suggesting that IoT-based applications are perceived to add more value in downstream than upstream SCM processes. The importance of using enabling technologies to realize the potential of value generation of IoT was also revealed. Findings suggest new research avenues related to product development and commercialization process, the supplier relationship management process, the returns management process, servitization strategies, new SCM models and new business models.Research limitations/implicationsThe review encompasses only academic papers from journals considered the most relevant (retrieved from specific databases), using the impact factor as the quality criterion.Practical implicationsThe findings can help business managers better understand the potential of IoT technology, such as the main applications identified in the literature and their impacts on SCM processes. Their importance in enabling technologies to leverage SCM performance is identified and the emerging SCM models/business models that IoT deployment can enable are highlighted.Originality/valueThis study contributes to filling a gap in the literature using a systematic literature review of how IoT technology affects SCM performance through content analysis, using an SCM framework to clarify which SCM processes are affected. Academic articles from the most important journals from 2000 to 2020 are identified.

Journal

Benchmarking: An International Journal – Emerald Publishing

Published: Feb 10, 2022

Keywords: Internet of things; Supply chain management; Business ecosystems

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  • Distributed maintenance planning in manufacturing industries
    Upasani, K.; Bakshi, M.; Pandhare, V.; Lad, B.K.
  • Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
    Usuga Cadavid, J.P.; Lamouri, S.; Grabot, B.; Pellerin, R.; Fortin, A.
  • System architecture for blockchain based transparency of supply chain social sustainability
    Venkatesh, V.G.; Kang, K.; Wang, B.; Zhong, R.Y.; Zhang, A.
  • Virtualisation of floricultural supply chains: a review from an internet of things perspective
    Verdouw, C.N.; Beulens, A.J.M.; van der Vorst, J.G.A.J.
  • A control model for object virtualization in supply chain management
    Verdouw, C.N.; Beulens, A.J.M.; Reijers, H.A.; Van Der Vorst, J.G.A.J.
  • Virtualization of food supply chains with the internet of things
    Verdouw, C.N.; Wolfert, J.; Beulens, A.J.M.; Rialland, A.
  • Internet of beer: a review on smart technologies from mash to pint
    Violino, S.; Figorilli, S.; Costa, C.; Pallottino, F.
  • Development of sensors-based agri-food traceability system remotely managed by a software platform for optimized farm management
    Visconti, P.; de Fazio, R.; Velázquez, R.; Del-Valle-soto, C.; Giannoccaro, N.I.
  • Food safety pre-warning system based on data mining for a sustainable food supply chain
    Wang, J.; Yue, H.
  • Research on key technologies of fault diagnosis and early warning for high-end equipment based on intelligent manufacturing and Internet of Things
    Wang, M.; Zhang, Z.; Li, K.; Zhang, Z.; Sheng, Y.; Liu, S.
  • Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination
    Wang, S.; Wan, J.; Zhang, D.; Li, D.; Zhang, C.
  • An IoT-enabled real-time logistics system for a third party company: a case study
    Wu, W.; Cheung, C.; Lo, S.Y.; Zhong, R.Y.; Huang, G.Q.
  • Intelligent fault prediction system based on internet of things
    Xu, X.; Chen, T.; Minami, M.
  • Development of IoT based data-driven agriculture supply chain performance measurement framework
    Yadav, S.; Garg, D.; Luthra, S.
  • Information sharing in supply chain of agricultural products based on the Internet of Things
    Yan, B.; Chang, Y.; Chenxu, K.; Xingchao, T.
  • Three-level supply chain coordination of fresh agricultural products in the Internet of Things
    Yan, B.; Wu, X.H.; Ye, B.; Zhang, Y.W.
  • Optimization approach for increasing revenue of perishable product supply chain with the Internet of Things
    Yan, R.
  • Towards product customization and personalization in IoT-enabled cloud manufacturing
    Yang, C.; Lan, S.; Shen, W.; Huang, G.Q.; Wang, X.; Lin, T.
  • An information theory inspired real-time self-adaptive scheduling for production-logistics resources: framework, principle, and implementation
    Yang, W.; Li, W.; Cao, Y.; Luo, Y.; He, L.
  • Towards smart port infrastructures: enhancing port activities using information and communications technology
    Yau, K.L.A.; Peng, S.; Qadir, J.; Low, Y.C.; Ling, M.H.
  • Blockchain-based shared manufacturing in support of cyber physical systems: concept, framework, and operation
    Yu, C.; Jiang, X.; Yu, S.; Yang, C.
  • Analysis of coordination mechanism of supply chain management information system from the perspective of block chain
    Yuan, H.; Qiu, H.; Bi, Y.; Chang, S.H.; Lam, A.
  • Supply chain management 4.0: a literature review and research framework
    Zekhnini, K.; Cherrafi, A.; Bouhaddou, I.; Benghabrit, Y.; Garza-Reyes, J.A.
  • Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs
    Zhang, Y.; Zhao, L.; Qian, C.
  • Approach towards sustainable and smart coal port development: the case of Huanghua port in China
    Zhao, D.; Wang, T.; Han, H.
  • Visualization of RFID-enabled shopfloor logistics big data in cloud manufacturing
    Zhong, R.Y.; Lan, S.; Xu, C.; Dai, Q.; Huang, G.Q.
  • IOT and big data based cooperative logistical delivery scheduling method and cloud robot system
    Zhu, D.