Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping

Ma, Ronghua; Kim, Y J

doi:10.1371/journal.pone.0290074

Cited by 5 publications

(1 citation statement)

References 67 publications

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“…The recognition method based on content mining uses models to extract topics, and researchers identify frontiers by analyzing such topics. The topic model, represented by the Latent Dirichlet Allocation (LDA) algorithm, extracts more valuable potential topic distribution through full-text semantic analysis, which makes up for the shortcomings of the citation analysis method and the vocabulary analysis method, to a great extent [16]. In recent years, with the deepening of research, the LDA model has been gradually updated and improved.…”

Section: Recognition Methods Based On Content Miningmentioning

confidence: 99%

Research Frontiers in the Field of Agricultural Resources and the Environment

Chuan,

Zhao,

et al. 2024

Applied Sciences

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From the perspective of project and paper datasets, research frontier recognition in the field of agricultural resources and the environment using the Latent Dirichlet Allocation (LDA) topic extraction model was studied. By combining the wisdom of domain experts to judge the similarities and differences of clustering topics between the two data sources, multidimensional indicators, such as the emerging degree, attention degree, innovation degree, and intersection degree, were comprehensively constructed for frontier identification. The methods for hot research frontiers, emerging research frontiers, extinction research frontiers, and potential research frontiers were proposed. The empirical research in the field of agricultural resources and the environment showed that the “interaction mechanism of plant–rhizosphere–microbial diversity” was a hot research frontier in the years 2016–2021. The themes of “wastewater treatment technology and efficient utilization of water resources”, the “value-added utilization of agricultural wastes and sustainable development”, the “soil ecological response mechanism under agronomic management measures”, and the “mechanism of soil landslide, erosion, degradation and prediction evaluation” were judged as potential research frontiers. The theme of “ecosystems management and pollution control of agricultural and animal husbandry” was recognized as an emerging research frontier. The results confirm that the fusion method of extracting topics from project and paper data, combined with expert intelligence and frontier indicators for fine classification of frontiers, is an optional approach. This study provides strong support for accurately identifying the forefront of scientific research, grasping the latest research progress, efficiently allocating scientific and technological resources, and promoting technological innovation.

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Section: Recognition Methods Based On Content Miningmentioning

confidence: 99%

Research Frontiers in the Field of Agricultural Resources and the Environment

Chuan,

Zhao,

et al. 2024

Applied Sciences

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A review and research agenda for recent socially and environmentally sustainable practices for warehouse management systems

Minashkina

2024

IJLM

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PurposeThe concept of a sustainable warehouse management system (WMS) is a relevant yet under-researched area within warehousing logistics. The purpose of this research is twofold: first, to review the literature on the topic of socially and environmentally sustainable practices; second, to lay the theoretical base for identifying social and environmental sustainability practices in warehousing operations that can serve as focus areas for WMS operational functions.Design/methodology/approachThis research built knowledge on a systematic literature review and bibliometric analysis in Scopus Elsevier and Web of Science Core Collection databases. After comprehensively filtering English literature from 2016 to 2024, only 43 out of the initial 601 studies comprised relevant warehousing practices that can be incorporated into the scope of WMS activities.FindingsAs a result, retrieved practices were allocated to a specifically designed warehouse model within the main processes, equipment and resources. This model could serve as a baseline for incorporating 48 sustainable WMS practices. The prevailing share of practices focuses on environmental rather than social warehouse sustainability. WMS should adopt sustainable warehousing practices to reduce warehouses' carbon footprint, energy and resource consumption and improve working conditions in a warehouse.Originality/valueThere have not been any existing reviews on warehouses' social and environmental sustainability to synthesize knowledge and serve as a base for WMS sustainability. This research will contribute to developing more sustainable and environmentally responsible warehousing operations, ultimately benefiting society and the environment. By incorporating such practices into WMS, warehouse owners can ensure efforts toward social and environmental sustainability while still maintaining efficient operations.

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Evaluation of the sustainable development of logistics based on local characteristics: Matching logistics architecture with resources

Wen,

Liu

2024

PLoS ONE

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This paper sets out to investigate the alignment between the logistics architecture and resources across China’s nine logistics regions, while also examining the individual advantages these regions possess. With the goal of establishing an evaluative framework for sustainable logistics development, the research introduces the principle of logistics equilibrium to augment traditional evaluation metrics, thus forming an assessment index system designed to quantify the congruence between logistics architecture and resources.Utilizing a democratic evaluation approach that emphasizes individual regional advantages, and leveraging empirical data from the decade spanning 2011 to 2020, this paper reveals a general upward trajectory in the matching level of logistics resources to architecture albeit with notable regional disparities. It is observed that while certain areas have made significant strides, others lag, underscoring the varied pace of development among different logistics regions.The research also brings to light the distinct advantage characteristics that emerge as each region evolves, suggesting that these attributes can be harnessed to foster a more environmentally conscious and forward-thinking approach to logistics. By implementing a democratic evaluation to rank these regions, this paper aims to identify exemplars that are not only recognized for their achievements but also serve as models for the formulation of green and sustainable logistics strategies tailored to each region’s specific needs and potential.

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Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping

Cited by 5 publications

References 67 publications

Research Frontiers in the Field of Agricultural Resources and the Environment

Research Frontiers in the Field of Agricultural Resources and the Environment

A review and research agenda for recent socially and environmentally sustainable practices for warehouse management systems

Evaluation of the sustainable development of logistics based on local characteristics: Matching logistics architecture with resources

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