Impact of Integrating Artificial Intelligence with IoT-Enabled Supply Chain—A Systematic Literature Review

Arora, Ranjan; Haleem, Abid; Arora, Pawan Kumar; Kumar, Harish

doi:10.1007/978-981-15-8542-5_105

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Their research showed how to implement a supply chain emphasizing IoT technologies. In a paper, Arora et al [21] investigated the effect of integrating artificial intelligence with an IoT-enabled supply chain. In a study, Bamakan et al [22] also presented an integrated framework based on the Chinese solutions of integrating blockchain, IoT andbig data to evaluate service chain performance.…”

Section: Ai and Iot-based Supply Chainmentioning

confidence: 99%

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries)

Nozari

Szmelter-Jarosz

Ghahremani-Nahr

2022

Sensors

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In today’s competitive world, supply chain management is one of the fundamental issues facing businesses that affects all an organization’s activities to produce products and provide services needed by customers. The technological revolution in supply chain logistics is experiencing a significant wave of new innovations and challenges. Despite the current fast digital technologies, customers expect the ordering and delivery process to be faster, and as a result, this has made it easier and more efficient for organizations looking to implement new technologies. “Artificial Intelligence of Things (AIoT)”, which means using the Internet of Things to perform intelligent tasks with the help of artificial intelligence integration, is one of these expected innovations that can turn a complex supply chain into an integrated process. AIoT innovations such as data sensors and RFID (radio detection technology), with the power of artificial intelligence analysis, provide information to implement features such as tracking and instant alerts to improve decision making. Such data can become vital information to help improve operations and tasks. However, the same evolving technology with the presence of the Internet and the huge amount of data can pose many challenges for the supply chain and the factors involved. In this study, by conducting a literature review and interviewing experts active in FMCG industries as an available case study, the most important challenges facing the AIoT-powered supply chain were extracted. By examining these challenges using nonlinear quantitative analysis, the importance of these challenges was examined and their causal relationships were identified. The results showed that cybersecurity and a lack of proper infrastructure are the most important challenges facing the AIoT-based supply chain.

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Section: Ai and Iot-based Supply Chainmentioning

confidence: 99%

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries)

Nozari

Szmelter-Jarosz

Ghahremani-Nahr

2022

Sensors

View full text Add to dashboard Cite

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Impact of Integrating Artificial Intelligence with IoT-Enabled Supply Chain—A Systematic Literature Review

Arora¹,

Haleem

Arora

et al. 2021

Lecture Notes in Mechanical Engineering

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Smart supply chain innovation model selection: exploitative or exploratory innovation?

Wei

Liu

Lin

et al. 2021

International Journal of Logistics Research and Applications

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More and more companies are actively building smart supply chains, but the process of building them is tortuous due to the lack of suitable innovation models for their own companies, and no scholars have yet explored the selection of smart supply chain innovation models to obtain a general theoretical framework. In this paper, we propose a theoretical framework on the factors influencing the selection of smart supply chain innovation models by using a multi-case study approach and taking four companies from China that are engaged in smart supply chain innovation as the research subjects through field research and interviews. Several important findings emerged from our study: Firstly, internal factors such as strategic orientation, supply chain network structure, and supply chain control system, and external factors such as competition intensity and national policies will have an impact on the choice of supply chain innovation model; the application of smart technology and market environment regulate the relationship between internal and external factors on the choice of innovation model; secondly, we further found that due to the industrial differences, the distance between manufacturing enterprises and suppliers, the supply chain integration differences in distribution enterprises will have a greater impact on the choice of smart supply chain innovation model; finally, we summarize the theoretical framework of the factors influencing the choice of smart supply chain innovation model for core enterprises, which can be used to guide enterprises to better realize smart supply chain innovation.

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Impact of Integrating Artificial Intelligence with IoT-Enabled Supply Chain—A Systematic Literature Review

Cited by 3 publications

References 11 publications

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries)

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries)

Impact of Integrating Artificial Intelligence with IoT-Enabled Supply Chain—A Systematic Literature Review

Smart supply chain innovation model selection: exploitative or exploratory innovation?

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