Mitigating Supply Chain Vulnerabilities: A Bibliometric Analysis of Sustainable Logistics for Resilience and Risk Management DOI Creative Commons

Shereen Abdelaziz,

Munjiati Munawaroh

International Journal of Automotive Science And Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 5, 2024

In a world increasingly shaped by global disruptions—ranging from pandemics and natural disasters to geopolitical tensions—the integration of sustainable logistics practices supply chain resilience has become cornerstone modern strategies. This study undertakes bibliometric analysis 445 Scopus-indexed documents (2002–2024) using VOSviewer Biblioshiny, offering systematic exploration critical research trends, thematic clusters, knowledge gaps within this intersection. The identifies several dominant themes, including green logistics, circular economy principles, digital transformation technologies, adaptive risk management. Findings highlight the transformative role tools—such as blockchain, IoT, AI—in enhancing transparency, predictive analytics, operational agility. automotive sector emerges focal industry, facing unique challenges resource dependency, regulatory compliance, need align sustainability with frameworks. Additionally, underscores growing prominence practices, such reverse closed-loop chains, in addressing environmental goals while bolstering adaptability. However, significant persist, particularly empirical validation their measurable impact on outcomes across diverse regions sectors. calls for development integrated frameworks that technological innovation efficiency, supported longitudinal studies cross-industry comparisons. contributes academic discourse actionable insights scholars practitioners. It establishes foundational roadmap integrating resilience, emphasizing pivotal digitalization principles shaping robust, adaptable chains capable withstanding complexities an volatile environment.

Язык: Английский

Digital Transformation for Sustainability in Industry 4.0: Alleviating the Corporate Digital Divide and Enhancing Supply Chain Collaboration DOI Creative Commons
Qi Li, Weijian Tian, Hua Zhang

и другие.

Systems, Год журнала: 2025, Номер 13(2), С. 123 - 123

Опубликована: Фев. 17, 2025

The swift advancement of digital technologies under Industry 4.0 has significantly transformed business operations and supply chain management. These advancements hold the potential to improve efficiency, reduce waste, foster sustainable development; however, they also create challenges due uneven adoption across enterprises. (1) Background: chains is uneven, resulting in a divide between This disparity disrupts collaboration alignment with practices. (2) Methods: research examines how corporate affects supply–demand imbalance by employing quantitative method identify obstacles strategies for improving collaboration. employs approach, specifically multiple regression analysis, investigate among enterprises overcoming barriers. utilizes firm-level data from Chinese stock market accounting databases performs robustness checks, including methods such as instrumental variable approach Heckman two-stage model, ensure validity findings. (3) Results: study finds that exacerbates imbalances both upstream downstream chains. Elevating resilience effectively alleviated this relationship. Specifically, strengthening resource process impact on chain, while enhancement system product mitigated chain. Heterogeneity analysis indicates varies different conditions network centrality, concentration, government focus, enterprise nature. (4) Conclusions: To sustainability 4.0, must bridge enhance It recommended mitigate disruptions caused alleviating impacts through strengthened resilience. Furthermore, fostering collaborative development essential optimizing sustainability.

Язык: Английский

Процитировано

1
Beyond numbers: a novel IoT and drone framework for enhancing healthcare logistics DOI Creative Commons
Tejinder Singh Lakhwani, Yerasani Sinjana, Anuj Pal Kapoor

и другие.

Discover Health Systems, Год журнала: 2025, Номер 4(1)

Опубликована: Фев. 24, 2025

Язык: Английский

Процитировано

1
Global Research Trends on Cyberbullying: A Bibliometric Study DOI Creative Commons
Arti Singh, Abderahman Rejeb,

Hunnar Nangru

и другие.

Computers in Human Behavior Reports, Год журнала: 2024, Номер unknown, С. 100499 - 100499

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

7
Integration of Circular Economy and Urban Metabolism for a Resilient Waste-Based Sustainable Urban Environment DOI Creative Commons
Konstantina Ragazou, Γεωργία Ζουρνατζίδου,

George Sklavos

и другие.

Urban Science, Год журнала: 2024, Номер 8(4), С. 175 - 175

Опубликована: Окт. 16, 2024

An unsustainable rate of resource production and consumption is evident in urban environments. The absence innovative approaches conjunction with the exponential urbanization expansion global population will inevitably result substantial environmental consequences. There are two emerging alternatives: circular economy (CE) metabolism (UM). integration these principles into novel methodology casts doubt on linear model contemporary economic systems, which includes extraction, production, utilization, disposal. In development a distinctive framework known as metabolism, current study has illustrated application principles. We design this to motivate planners decision-makers investigate, develop, supervise ecologically sustainable cities. Scholars from variety academic disciplines, intrigued by intricacies planning, design, administration, can foster interdisciplinary collaboration (CUM) region. To address research question, we implemented bibliometric analysis, involved examination 627 pertinent papers, utilizing R (R 3.6.0+) statistical programming language. results emphasize fundamental characteristics significance CUM management refuse. addition, findings underscore importance creating that incorporates political ecology, CUM, sustainability, dimension waste metabolism. It goal recycling informal sector strategy low- medium-income countries (LMICs).

Язык: Английский

Процитировано

7
Intersections of Big Data and IoT in Academic Publications: A Topic Modeling Approach DOI Creative Commons

Diana-Andreea Căuniac,

Andreea-Alexandra Cîrnaru,

Simona‐Vasilica Oprea

и другие.

Sensors, Год журнала: 2025, Номер 25(3), С. 906 - 906

Опубликована: Фев. 2, 2025

As vast amounts of data are generated from various sources such as social media, sensors and online transactions, the analysis Big Data offers organizations ability to derive insights make informed decisions. Simultaneously, IoT connects physical devices, enabling real-time collection exchange that transforms interactions within smart homes, cities industries. The intersection these fields is essential, leading innovations predictive maintenance, traffic management personalized solutions. Utilizing a dataset 8159 publications sourced Web Science database, our research employs Natural Language Processing (NLP) techniques selective human validation analyze abstracts, titles, keywords other useful information, uncovering key themes trends in both research. Six topics extracted using Latent Dirichlet Allocation. In Topic 1, words like “system” “energy” among most frequent, signaling 1 revolves around systems technologies, likely context energy-related applications. 2 focuses on application indicated by terms “technologies”, “industry” “research”. It deals with how related technologies transforming 3 emphasizes learning research, indicating focus machine oriented toward involving new methods models domain algorithms. 4 highlights smart, suggesting systems. 5 touches upon role digital chains supply systems, an industrial transformation. 6 technical aspects modeling, system performance prediction delves into efficiency networks “accuracy”, “power” “performance” standing out.

Язык: Английский

Процитировано

0
Exploring the potential of industry 4.0 in manufacturing and supply chain systems: Insights and emerging trends from bibliometric analysis DOI Creative Commons
Assiya Zahid,

Patrice Leclaire,

Lamia Hammadi

и другие.

Supply Chain Analytics, Год журнала: 2025, Номер unknown, С. 100108 - 100108

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management DOI Creative Commons

Ghazaleh Kermani Moghaddam,

Mostafa Karimzadeh

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Abstract The global supply chain has progressed beyond conventional logistics, incorporating digital technology, sustainability, and automation. It involves interrelated processes that convert raw resources into finished goods. rising complexity from cross-border legislation, currency volatility, evolving market demands requires decision-making driven by AI, Big Data, This study does a Systematic Literature Review of 65 journal papers (2010–2024) to analyze developments in logistics via innovation, sustainability. In contrast models characterized static decision-making, emerging frameworks integrate AI-driven optimization, blockchain transparency, real-time data for predictive forecasting. Furthermore, autonomous freight transportation, encompassing self-driving trucks, drone-assisted last-mile delivery, hyperloop cargo systems, is transforming logistics. Findings underscore significant transformations strategy, focusing on sustainable mobility, carbon footprint mitigation, integrated analysis delineates research deficiencies proposes avenues future investigation systems management.

Язык: Английский

Процитировано

0
Integration of Intelligent Transport and Logistics Systems in the Context of Sustainable Supply Chain Management DOI
Mariia Hryhorak, Maryna Pichugina, М. Chuprina

и другие.

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 258 - 269

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Knowledge flows in industry 4.0 research: a longitudinal and dynamic analysis DOI Creative Commons

Abderahman Rejeb,

Karim Rejeb,

Edit Süle

и другие.

Journal of Data Information and Management, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0
Toward a cleaner road: Environmental transformation in Hungary’s automotive sector DOI Creative Commons
Muath Alsheikh

Environmental Economics, Год журнала: 2025, Номер 16(2), С. 1 - 14

Опубликована: Апрель 17, 2025

A transition toward sustainable logistics is crucial for Hungary’s automotive industry, which remains a main contributor to environmental degradation through its reliance on carbon-based supply chains. This study aims examine how green technology, policy regulation, and infrastructure availability influence sustainability outcomes the with focus reducing carbon emissions improving operational efficiency. Partial least squares structural equation modeling 2015–2023 empirical data was employed. The model examined direct moderate effects of such factors lowering footprint performance, as well implementation cost, firm size, demand.The results suggest significant impact reduction (path coefficient = 0.32) performance (0.38) adoption technology. Availability regulatory frameworks (0.29 footprint; 0.25 performance) (0.35 0.40, respectively) also have impact. High costs (–0.22 –0.18) complexity chain (–0.15 –0.17) negative impact, particularly small medium-sized enterprises. Moderation analysis shows that size (0.22) strong demand (0.26) enhance benefits adopting technology.The indications are enhancing enforcement, raising financial aid schemes, upgrading solution accelerating practices. Public-private partnerships put forward strategic bridging investment gaps enabling long-term economic advantages industry.

Язык: Английский

Процитировано

0