Factors influencing the adoption of the internet of things in supply chains

Yan, Bo; Jin, Zijie; Liu, Lifeng; Liu, Si

doi:10.1007/s00191-017-0527-3

Cited by 24 publications

(11 citation statements)

References 32 publications

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“…The underlying IoT system architecture consists of the physical sensing layer, middleware layer and application layer that need reliable and dependable interoperability (Uviase and Kotonya, 2018). The compatibility of all IoT layers with the system and technology preferred by the company, which may be the one that is already used in place by the organization, inevitably affects the infrastructure choice at the end (Yan et al , 2018).…”

Section: A Framework Of Iot-based Smart Warehouse Infrastructurementioning

confidence: 99%

An internet of things-based smart warehouse infrastructure: design and application

Affia

Aamer²

2021

JSTPM

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Purpose Real-time visibility and traceability in warehousing could be accomplished by implementing the internet-of-things (IoT) technology. The purpose of this paper is to develop a roadmap for designing an IoT-based smart warehouse infrastructure and, respectively, design and apply the IoT-based smart warehouse infrastructure using a developed roadmap. More specifically, this study first identifies critical components to design an IoT-based smart warehouse infrastructure. Second, the study at hand identifies essential factors that contribute to the successful implementation of IoT-based smart warehouse infrastructure. Design/methodology/approach A qualitative-descriptive method, through a comprehensive review of the relevant studies, was used in this study to develop a roadmap. A prototype system was then designed to simulate a case company’s actual warehouse operations in one of the manufacturing companies in Indonesia. Findings A framework was proposed which is viable for designing an IoT-based smart warehouse infrastructure. Based on the data collected from a case company, the proposed smart warehouse infrastructure design successfully implemented real-time visibility and traceability and improved overall warehouse efficiency. Research limitations/implications While the framework in this research was carried out in one of the developing counties, the study could be used as the basis for future research in a smart warehouse, IoT and related topics. Originality/value This research enhances the limited knowledge to establish the IoT infrastructure for a smart warehouse to enable real-time visibility and traceability. This study is also the first to specifically propose a framework for designing an IoT-based smart warehouse infrastructure. The proposed framework can motivate companies in developing countries to deploy efficient and effective smart warehouses using IoT to drive the countries’ economic growth.

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Section: A Framework Of Iot-based Smart Warehouse Infrastructurementioning

confidence: 99%

An internet of things-based smart warehouse infrastructure: design and application

Affia

Aamer²

2021

JSTPM

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“…(9) In Scenario 9, N � 16 Cr � 3 Ca � 12 Ra � 8 P � 10, F � 2 ω � 0.5, as shown in Figure 2(i), the track of evolution will be eventually inclined to ESS D (1, 1) that is consistent with the analysis of the model. 8 Complexity evolutionary game system tends to have different stable points [37]. Hence, it has great significance to study which factors will influence the system.…”

Section: System Simulation Analysismentioning

confidence: 99%

Promotion Strategy of Policy against Food Waste (PAFW): The Perspective on Evolutionary Game between Local Government and Large Supermarkets

Luo

Zhao

2021

Complexity

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The implementation of PAFW is an important way to reduce food waste. Discussing how to more successfully implement PAFW to reduce food waste is of great significance in achieving sustainable development. Different from the previous literature, this paper uses evolutionary game theory to establish a strategic interaction income matrix between local governments and large supermarkets and analyzes the strategic interaction between local governments and large supermarkets by copying dynamic equations, revealing the strategic choice between the two parties evolution process. A simulation-based approach is used to validate the theoretical results and analyze the influence of key parameters on the evolutionary trajectory. The study found the following: (1) to promote the system to an optimal evolutionarily stable strategy (ESS), it is necessary to strengthen policy publicity, increase the willingness of large supermarkets to implement the PAFW, and increase the enthusiasm of the public or third-party organizations to monitor system; (2) stakeholders’ initial willingness will influence the evolutionary trajectory; and (3) it is important to strengthen the institutional development of local government regulators, improve the local government’s achievements, reduce the local government’s regulatory costs, improve policies to support large supermarkets’ implementation of the PAFW, and reduce the cost of implementing the PAFW for large supermarkets.

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“…The data gathered from the IoT systems provide decision-makers with new ideas about value proposition and value creation, thereby helping to strengthen the bond with customers and to adopt more efficient policies and effective business practices [27]. Through enhanced visibility, transparency, adaptation, flexibility and virtualization in SC [32], companies with the greatest innovation capacity experience increased global competitiveness, reduction in costs, increased market share and increased quality of services [11]. Figure 6 illustrates the benefits and their respective frequency of appearance in the SLR.…”

Section: Benefitsmentioning

confidence: 99%

Adoption Factors of Enabling I4.0 Technologies and Benefits in the Supply Chain

Franceli¹,

Zilber²

2021

Computer Science &Amp; Information Technology (CS &Amp; IT)

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Industry 4.0 technologies represent a new paradigm of integration of cyber-physical systems, information and communication solutions, with applications in many different domains. This topic has to date been vaguely explored in the realm of the social sciences; hence this study attempts to bridge this gap by investigating the challenges of innovation adoption, based on I4.0 technologies, more specifically the factors affecting adoption decisions. This paper, based on previous adoption literature, aims to identify the barriers and benefits generated in the Supply Chain. Given the nature and novelty of the technology, whose adoption is the primary theme of this study, a systematic literature review was developed. The results present a framework that connects adoption factors, enabling technologies of I4.0, and benefits to the Supply Chain. The Model can be easily adapted to serve as a tool in the evaluation and selection of technological innovations to be adopted.

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Factors influencing the adoption of the internet of things in supply chains

Cited by 24 publications

References 32 publications

An internet of things-based smart warehouse infrastructure: design and application

An internet of things-based smart warehouse infrastructure: design and application

Promotion Strategy of Policy against Food Waste (PAFW): The Perspective on Evolutionary Game between Local Government and Large Supermarkets

Adoption Factors of Enabling I4.0 Technologies and Benefits in the Supply Chain

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