The applications of Internet of Things (IoT) in industrial management: a science mapping review

Mu, Xiaoshao; Antwi-Afari, Maxwell Fordjour

doi:10.1080/00207543.2023.2290229

Cited by 20 publications

(2 citation statements)

References 136 publications

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“…Also, the science mapping approach can reveal the correlation and intersections between different disciplines, promote interdisciplinary research cooperation, and knowledge integration and innovation [36,37]. The science mapping review approach is a graphical representation of how areas of knowledge, documents, or authors relate to each other [38,39], and there are various software techniques available for bibliometric mapping analysis [40]. In addition, it often involves using tools to map trends and networks for keywords, authors, and references [41].…”

Section: Methodsmentioning

confidence: 99%

The Impact of Artificial Intelligence on Organizational Justice and Project Performance: A Systematic Literature and Science Mapping Review

Zhang,

Antwi-Afari,

Zhang

et al. 2024

Buildings

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By adopting a systematic literature and science mapping review, this paper aims to explore the impact of artificial intelligence (AI) on organizational justice and project performance. A total of 47 bibliographic records from the Scopus database were analyzed. The results revealed the annual publication trends of research articles and relevant peer-reviewed journals in the studied domain. It was found that while AI technology has made significant progress in several fields, its application areas in project management and organizational justice are still relatively low. Moreover, it objectively discussed the co-occurrence analysis of keywords, co-authors, countries/regions, and documents in the fields, revealing the current research topics. The main research topics include the (1) AI’s influence on organizational justice, decision analysis, and digital transformation, (2) fostering organizational justice and AI’s role in enhancing project performance, and (3) improving organizational performance approaches. Furthermore, this paper proposed research gaps and future research directions, including (1) advancing business intelligence strategies, (2) unlocking AI technology potential on organizational justice and project performance, (3) the adaption of cultural, diversity, environmental, and social factors, (4) the impact of AI on complex and challenging leadership styles, and (5) developing a comprehensive understanding of the agile framework. The findings of this paper could contribute to a better understanding of how AI shapes project/construction management and organizational justice, providing practical solutions for innovative development for researchers and policymakers.

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Section: Methodsmentioning

confidence: 99%

The Impact of Artificial Intelligence on Organizational Justice and Project Performance: A Systematic Literature and Science Mapping Review

Zhang,

Antwi-Afari,

Zhang

et al. 2024

Buildings

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“…In recent years, our world has undergone a transformative technological revolution propelled by the pervasive integration of IoT networks into every facet of our daily lives [1][2][3]. The advent of IoT networks has ushered in a profound shift, creating self-automated environments geared towards facilitating seamless data exchange between processes.…”

Section: Introductionmentioning

confidence: 99%

Exploring and mitigating hybrid rank attack in RPL-based IoT networks

Rouissat,

Belkehir,

Mokaddem

et al. 2024

Journal of Electrical Engineering

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Despite the widespread adoption of the Routing Protocol for Low-power and Lossy Networks (RPL) in IoT environments, its inherent limitations in addressing security vulnerabilities have left IoT networks vulnerable to ongoing attacks. This paper introduces a novel intrusion detection system tailored specifically for IoT networks, with a focus on mitigating attacks at the network’s edge. The study presents the Hybrid Rank Attack (HRA), a sophisticated threat exploiting RPL vulnerabilities by alternately advertising decreased and increased rank values in control messages. Extensive experimentation evaluates the detrimental effects of HRA on critical network metrics including exchanged messages, energy consumption, PDR, latency, and memory footprint. Additionally, a lightweight and distributed countermeasure algorithm is proposed to effectively mitigate the impact of HRA. Simulation-based evaluations demonstrate significant reductions in control overhead (68.7%) and energy consumption (61.83%), with minimal additional RAM utilization (1.05%). This lightweight solution enhances the resilience of RPL-based IoT networks against HRA threats.

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Analysis and Simulation of an IoT System for Measuring Soil Moisture in Avocado Plantations

Bustamante,

Lopez,

Bustamante-Encina

et al. 2024

Computational Science and Its Applications – ICCSA 2024 Workshops

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The applications of Internet of Things (IoT) in industrial management: a science mapping review

Cited by 20 publications

References 136 publications

The Impact of Artificial Intelligence on Organizational Justice and Project Performance: A Systematic Literature and Science Mapping Review

The Impact of Artificial Intelligence on Organizational Justice and Project Performance: A Systematic Literature and Science Mapping Review

Exploring and mitigating hybrid rank attack in RPL-based IoT networks

Analysis and Simulation of an IoT System for Measuring Soil Moisture in Avocado Plantations

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