Machine Learning and Supply Chain Management

Quayson, Matthew; Bai, Chunguang; Effah, Derrick; Ofori, Kwame Simpe

doi:10.1007/978-3-030-89822-9_92-1

Cited by 2 publications

(2 citation statements)

References 68 publications

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“…Bibliometrics is a quantitative approach used to assess the productivity, expansion, and influence of scholarly literature [23]. Its main function is to offer information about the current literature on certain subjects and organize it conceptually and intellectually.…”

Section: Methodsmentioning

confidence: 99%

Navigating the Nexus between Rural Revitalization and Sustainable Development: A Bibliometric Analyses of Current Status, Progress, and Prospects

Cai,

Ouyang,

Quayson

2024

Sustainability

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Achieving sustainable rural development is challenging. However, revitalizing the rural economy is one of the most suitable strategies to overcome sustainable development problems. The rural revitalization strategy aims to create an idealized sustainable development model for rural areas which can avoid the current crisis and utilize institutional advantages to overcome the survival challenges of mostly small-scale peasant economies. The logic of the rural revitalization strategy lies in its essential value implication and practical orientation for consolidating the foundation in rural areas, including its characteristics and its ability to realize long-term sustainable development. There is growing interest in research on rural revitalization and sustainable development, but the current status, trends, and progress are unknown. This study examines the most recent advancements in research patterns for rural revitalization and the promotion of sustainable development from 1995 to 2023. It accomplishes this by thoroughly evaluating and analyzing published scholarly material. We performed a bibliometric analysis of the literature obtained from the Scopus database using VOS Viewer software version 1.6.15. We examined a total of 403 articles and evaluated them, focusing on the precise terms “Rural Revitalization” and “Sustainable Development”. We found that post-2018, there has been a notable surge in the popularity and acceptance of research related to these topics. China ranks first in terms of publishing the greatest number of research articles. The journal Sustainability has published the most articles on sustainable development and rural revitalization, followed by Land and the International Journal of Environmental Research and Public Health. The Journal of Rural Studies published the most cited document. Exciting research areas include the conservation of natural resources, ecosystem cities, and rural revitalization strategies. The research findings thoroughly evaluate academic output and propose thematic areas for further investigation.

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Section: Methodsmentioning

confidence: 99%

Navigating the Nexus between Rural Revitalization and Sustainable Development: A Bibliometric Analyses of Current Status, Progress, and Prospects

Cai,

Ouyang,

Quayson

2024

Sustainability

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“…According to [14], the authors have studied the ability of ML to generate more accurate forecasts than traditional methods thanks to a long short-term model. As for [15] show that ML algorithms are largely applied in planning.…”

Section: Forecasting and Demand Planningmentioning

confidence: 99%

A Review of Artificial Intelligence applications in Supply Chain

Atwani¹,

Hlyal

Elalami³

2022

ITM Web Conf.

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Nowadays, the supply chain faces several challenges, among others, uncertainty relating to demand, stochasticity, and bullwhip effect, as well as external disruptions, risks and crises which can temporarily or durably impact customer’s service, Science has therefore become increasingly interested in an industrial revolution, namely Industry 4.0 which Artificial Intelligence is the most commonly used technology that is capable of revolutionizing many industries and fields. The aim of this article is to review the literature on the Artificial Intelligence applications in Supply Chain and the most used approaches in planning, prediction, purchasing, procurement, transportation and distribution to improve the performance, resilience and efficiency of the Supply chain.

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Machine Learning and Supply Chain Management

Cited by 2 publications

References 68 publications

Navigating the Nexus between Rural Revitalization and Sustainable Development: A Bibliometric Analyses of Current Status, Progress, and Prospects

Navigating the Nexus between Rural Revitalization and Sustainable Development: A Bibliometric Analyses of Current Status, Progress, and Prospects

A Review of Artificial Intelligence applications in Supply Chain

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