Archimedes Optimization with Enhanced Deep Learning based Recommendation System for Drug Supply Chain Management DOI
Ketan Rathor, Shanker Chandre,

Alagu Thillaivanan

et al.

Published: April 21, 2023

Recently,pharmaceutical corporations are confronting difficulties while tracking their products in the supply chain process, allowing counterfeiters to include fake medicines into market. Counterfeit drugs were examined as a great challenge for pharmaceutical sector worldwide. Sentiment analysis can be used analyse customer reviews of determine overall sentiment towards drug. Positive indicate that drug is effective and well-tolerated, negative may potential side effects or lack effectiveness. However, it's important note subfield natural language processing which uses statistical machine learning techniques identify extract subjective information from source materials. Therefore, this article introduces an Archimedes Optimization with Enhanced Deep Learning based Recommendation System (AOAEDL-RS) Drug Supply Chain Management. The proposed AOAEDL-RS technique majorly examines recommendation drugs. It follows three stage process: preprocessing, classification, parameter tuning. Firstly, performs preprocessing word2vec embedding processes. Secondly, context BiLSTM-CNN (CBLSTM-CNN) model applied review classification classification. Thirdly, AOA optimal hyperparameter tuning CBLSTM-CNN method. result tested on dataset outcomes show improved

Language: Английский

Energy consumption by cryptocurrency: A bibliometric analysis revealing research trends and insights DOI Creative Commons

V. Anandhabalaji,

M. Babu,

R. Brintha

et al.

Energy Nexus, Journal Year: 2024, Volume and Issue: 13, P. 100274 - 100274

Published: Feb. 16, 2024

Cryptocurrency is rapidly emerging as a prominent player in the global financial system, characterized by its decentralized nature and absence of centralized government oversight. However, this autonomy raises significant environmental concerns primarily stemming from energy-intensive mining process. Crypto mining, central to creation new coins transaction validation, results substantial carbon emissions energy consumption. This study employs bibliometric analysis using RStudio scrutinize data sourced Scopus database. Data selection adhered specific inclusion criteria, focusing on research articles documents English language. Exclusion criteria targeted elimination review papers, conference reviews, short surveys, notes, languages other than English. China emerges foremost contributor with frequency 348 total citation count 1259, followed USA 594 citations. Notably, keywords "blockchain" "bitcoin" surface most frequently, occurring 293 148 times, respectively. The posits that China's decision ban cryptocurrency due economic has likely contributed heightened awareness cryptocurrencies. In contrast, actively embraced cryptocurrencies, fostering their widespread circulation. Consequently, these two countries have emerged leading contributors consumption sector. Blockchain, originally broad concept, found applications diverse domains such marketing, finance, healthcare, supply chain, Internet Things (IoT). adoption expanded scope considerations cryptocurrencies encompass blockchain technology whole. Future should focus regulation, alternative mechanisms, renewable sources, technological advancements, offsetting solutions. article also addresses limitations future detail.

Language: Английский

Citations

10
Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques DOI
Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: 31(6), P. 3619 - 3645

Published: March 24, 2024

Language: Английский

Citations

9
Adoption and impact of generative artificial intelligence on blockchain-enabled supply chain efficiency DOI
Gao Cong,

Kay-Hooi Keoy,

Ai‐Fen Lim

et al.

Journal of Systems and Information Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Purpose The purpose of this study is to investigate the primary determinants influencing acceptance generative artificial intelligence (GAI) adoption within Blockchain-enabled environments. Further research will examine impact GAI on supply chain efficiency (SCE) through enhancement Blockchain. Design/methodology/approach Drawing innovation diffusion theory (IDT), used partial least square structural equation modelling (PLS-SEM) look into hypotheses. data were gathered via online questionnaires from employers Chinese enterprises that have already integrated Findings findings demonstrate relative advantages (RAs), compatibility, trialability and observability a significant positive effect adoption, while complexity harms adoption. Above all, has significantly enhanced Blockchain, thus effectively improving SCE. Practical implications outcomes furnish organizations with valuable insights proficiently integrate Blockchain capability, optimize management bolster market competitiveness. Also, help accelerate successful integration business processes attain Sustainability Development Goals 9, industrial growth diversification. Originality/value To extent author’s knowledge, current status remains largely exploratory, there limited empirical evidence integrating capability GAI. This bridges knowledge gap by fully revealing optimal these two transformative technologies leverage their potential in management.

Language: Английский

Citations

1
Optimizing vaccine logistics: a taxonomy and narrative review DOI
J C Locke, Majid Taghavi, Bahareh Mansouri

et al.

INFOR Information Systems and Operational Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 42

Published: Feb. 20, 2025

Language: Английский

Citations

1
Assessment of barriers to IoT-enabled circular economy using an extended decision- making-based FMEA model under uncertain environment DOI
Ali Memarpour Ghiaci, Saeid Jafarzadeh Ghoushchi

Internet of Things, Journal Year: 2023, Volume and Issue: 22, P. 100719 - 100719

Published: Feb. 10, 2023

Language: Английский

Citations

22
How does digital infrastructure break the resource curse of cities? Evidence from a quasi-natural experiment in China DOI
Jingjing Sun,

Chenchen Zhai,

Xiaoqi Dong

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104302 - 104302

Published: Oct. 1, 2023

Language: Английский

Citations

20
From Hype to Reality: Unveiling the Promises, Challenges and Opportunities of Blockchain in Supply Chain Systems DOI Open Access

Muen Uddin,

Shitharth Selvarajan, Muath Obaidat

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(16), P. 12193 - 12193

Published: Aug. 9, 2023

Blockchain is a groundbreaking technology widely adopted in industrial applications for improving supply chain management (SCM). The SCM and logistics communities have paid close attention to the development of blockchain technology. primary purpose employing lower production costs while enhancing system’s security. In recent years, blockchain-related research has drawn much interest, it fair state that this now most promising option delivering reliable services/goods networks. This study uses rigorous methods review technical implementation aspects systems driven by Blockchain. To ensure security applications, we primarily concentrated on developing solutions with capabilities. study, unique qualities been exploited analyze main effects leveraging SCM. Several metrics are utilized validate compare methodologies’ effectiveness may alter make more transparent efficient creating useful tool strategic planning connections among customers, suppliers, accelerators. Moreover, performance traditional blockchain-enabled compared based parameters efficiency, execution time, level, latency.

Language: Английский

Citations

18
GDP responses to supply chain disruptions in a post-pandemic era: Combination of DL and ANN outputs based on Google Trends DOI

Umer Shahzad,

Kamel Si Mohammed, Nicolas Schneider

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122512 - 122512

Published: April 3, 2023

Language: Английский

Citations

17
Exploring the challenges of the COVID-19 vaccine supply chain using social media analytics: A global perspective DOI Creative Commons
Enrique Caño-Marín, Domingo Ribeiro Soriano, Abbas Mardani

et al.

Sustainable Technology and Entrepreneurship, Journal Year: 2023, Volume and Issue: 2(3), P. 100047 - 100047

Published: July 28, 2023

The Coronavirus (COVID-19) pandemic has highlighted the importance of effective vaccine supply chain management (SCM). As world raced to curb spread virus, efficient distribution vaccines became crucial ending pandemic. However, challenges distributing COVID-19 globally were exacerbated by itself, leading delays, shortages, and disruptions under disaster conditions. In this study, we use social media analytics explore impact from a global perspective. We collected data two platforms—Twitter Global Database Events, Language Tone (GDELT)—between January 2020 November 2022. analysis is developed leveraging Natural Processing (NLP) techniques, such as topic modelling sentiment analysis. found that significantly impacted ability healthcare systems respond pandemic, with significant differences between regions (such in case developing countries). Our findings highlight need for improved coordination collaboration SCM ensure equitable access. addition, research provides valuable practical insight into using its potential enhance decision-making capabilities policymakers industry leaders.

Language: Английский

Citations

17
Enhancing innovativeness and performance of the manufacturing supply chain through datafication: The role of resilience DOI Creative Commons

Shuang Tian,

Lin Wu, Maria Pia Ciano

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 188, P. 109841 - 109841

Published: Dec. 15, 2023

The Covid-19 pandemic has extremely affected the manufacturing supply chain (SC) highlighting need to deploy dynamic capabilities (DCs) such as resilience (SCRes) that enable companies react rapidly and exploit intangible assets support long-term performance. Concurrent with needs dictated by pandemic, are faced rapid technological development driven Industry 4.0. Massive amounts of information lead for effective 'datafication', where is standardized recorded through technologies Internet-of-Things (IoT), processed others like Artificial Intelligence (AI). In disruptive context, can remain competitive turning crisis into an opportunity innovation improving their This study thus explores impact datafication, represented IoT AI implementation, on SC performance innovativeness investigates role SCRes. Analyzing data collected from 311 Chinese reveals datafication positively influences performance, in which SCRes plays a mediating role. finding contributes ongoing debate how digital help organizations improve DCs achieve advantage. research also encourages companies, particularly those developing countries, take full advantage 4.0 technologies.

Language: Английский

Citations

17