Sustainable social supply chain practices and firm social performance: Framework and empirical evidence DOI
Yudi Fernando,

Munira Halili,

Ming‐Lang Tseng

и другие.

Sustainable Production and Consumption, Год журнала: 2022, Номер 32, С. 160 - 172

Опубликована: Апрель 20, 2022

Язык: Английский

A framework of digital technologies for the circular economy: Digital functions and mechanisms DOI Creative Commons
Qinglan Liu, Adriana Hofmann Trevisan, Miying Yang

и другие.

Business Strategy and the Environment, Год журнала: 2022, Номер 31(5), С. 2171 - 2192

Опубликована: Фев. 23, 2022

Abstract Digital technology is regarded as providing a promising means of moving production and consumption towards the circular economy. However, it still unclear which functions digital technologies are most useful to improving circularity, how these could be used enhance different economy strategies. This paper aims address this knowledge gap by conducting systematic literature review. After examining 174 papers, creating 782 original codes 259 second‐round codes, study identifies 13 critical relevant The then proposes framework reveals seven mechanisms can also combinations strategies have already been studied extensively well where there may gaps. indicates more mature in terms possible implementation for what missing links empirical theoretical research. advances synergies between paradigm through lens functions. proposed build foundation future research, we highlight five research areas further studies. provides structured way managers explore appropriate their CE strategies, so identify required new value creation

Язык: Английский

Процитировано

189

Green supply chain innovation: Emergence, adoption, and challenges DOI

Yunting Feng,

Kee‐hung Lai, Qinghua Zhu

и другие.

International Journal of Production Economics, Год журнала: 2022, Номер 248, С. 108497 - 108497

Опубликована: Апрель 1, 2022

Язык: Английский

Процитировано

153

Blockchain—Internet of Things Applications: Opportunities and Challenges for Industry 4.0 and Society 5.0 DOI Creative Commons
Amit Kumar Tyagi, Sathian Dananjayan,

Deepshikha Agarwal

и другие.

Sensors, Год журнала: 2023, Номер 23(2), С. 947 - 947

Опубликована: Янв. 13, 2023

Today, blockchain is becoming more popular in academia and industry because it a distributed, decentralised technology which changing many industries terms of security, building trust, etc. A few applications are banking, insurance, logistics, transportation, Many insurance companies have been thinking about how could help them be efficient. There still lot hype this immutable technology, even though has not utilised to its full potential. Insurers decide whether or use blockchain, just like other businesses do. This keeps distributed ledger on each node, making secure transparent. The network can operate smart contracts convince others agree, so criminals cannot make mistakes. On another side, the Internet Things (IoT) might real-time application work faster through automation. With integration IoT, there will always problem with regarding IoT devices mining blockchain. paper gives view blockchain-IoT-based for Industry 4.0 Society 5.0. last sections discuss essential topics such as open issues, challenges, research opportunities future researchers expand applications.

Язык: Английский

Процитировано

139

Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity DOI
Ming‐Lang Tseng, Tat‐Dat Bui, Ming K. Lim

и другие.

International Journal of Production Economics, Год журнала: 2021, Номер 245, С. 108401 - 108401

Опубликована: Дек. 27, 2021

Язык: Английский

Процитировано

116

Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values DOI Creative Commons
Morteza Ghobakhloo, Mohammad Iranmanesh, Ming‐Lang Tseng

и другие.

Journal of Industrial and Production Engineering, Год журнала: 2023, Номер 40(6), С. 432 - 447

Опубликована: Май 27, 2023

This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with ongoing digital industrial transformation. However, there is still a lack consensus on definition and scope as well limited understanding its technological components, design principles, intended values. To bridge these knowledge gaps, conducts content-centric review relevant literature synthesizes evidence develop an architectural for 5.0. The findings reveal that 5.0 represents future transformation, offering potential solutions socio-economic environmental issues were inadequately addressed or exacerbated by 4.0. provides managers, industrialists, policymakers comprehensive overview including constituents, smart emphasizing importance stakeholder involvement integration effective governance transformation within this framework.

Язык: Английский

Процитировано

114

Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship DOI
Brij B. Gupta, Akshat Gaurav, Prabin Kumar Panigrahi

и другие.

Technological Forecasting and Social Change, Год журнала: 2022, Номер 186, С. 122152 - 122152

Опубликована: Ноя. 11, 2022

Язык: Английский

Процитировано

108

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows DOI Creative Commons
Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas

и другие.

Expert Systems with Applications, Год журнала: 2022, Номер 202, С. 117038 - 117038

Опубликована: Апрель 9, 2022

Modal-decomposition techniques are computational frameworks based on data aimed at identifying a low-dimensional space for capturing dominant flow features: the so-called modes. We propose deep probabilistic-neural-network architecture learning minimal and near-orthogonal set of non-linear modes from high-fidelity turbulent-flow useful analysis, reduced-order modeling control. Our approach is β-variational autoencoders (β-VAEs) convolutional neural networks (CNNs), which enable extracting multi-scale turbulent flows while encouraging independent latent variables penalizing size vector. Moreover, we introduce an algorithm ordering VAE-based with respect to their contribution reconstruction. apply this method mode decomposition through simplified urban environment, where flow-field obtained well-resolved large-eddy simulations (LESs). demonstrate that by constraining shape space, it possible motivate orthogonality extract parsimonious sufficient high-quality results show excellent performance in reconstruction against linear-theory-based decompositions, energy percentage captured proposed five equal 87.36% 32.41% POD. compare our available AE-based models. ability extraction determinant correlation matrix 0.99, may lead interpretability.

Язык: Английский

Процитировано

92

State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary DOI Open Access

P. V. Thayyib,

Rajesh Mamilla, M.Y. Khan

и другие.

Sustainability, Год журнала: 2023, Номер 15(5), С. 4026 - 4026

Опубликована: Фев. 22, 2023

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied the AI BDA literature map out existing scholarships. We summarise 711 articles on & its sub-sets published multiple fields identify academic disciplines with contributions. pulled papers from Scopus Q1 Q2 journal database between 2012 2022. returned documents journals 59 countries, averaging 17.9 citations per year. Multiple software Database Analysers were used investigate data illustrate most active scientific indicators such as authors co-authors, citations, co-citations, institutions, sources, subject areas. USA was influential nation (101 documents; 5405 citations), while China productive (204 2371 citations). institution Symbiosis International University, India (32 4.5%). results reveal a substantial increase reviews five clusters disciplines: (a) Business Management, (b) Engineering Construction, (c) Healthcare, (d) Sustainable Operations I4.0, (e) Tourism Hospitality Studies, majority which applications use cases address real-world problems field. keyword co-occurrence past analyses indicates that BDA, AI, Machine Learning, Deep NLP, Fuzzy Logic, Expert Systems will remain conspicuous areas these diverse domain Therefore, this paper summarises Business, Engineering, Operations, serves starting point for novice experienced researchers interested topics.

Язык: Английский

Процитировано

90

ChatGPT and the Future of Academic Integrity in the Artificial Intelligence Era: A New Frontier DOI Creative Commons
Maad M. Mijwil, Kamal Kant Hiran, Ruchi Doshi

и другие.

Al-Salam Journal for Engineering and Technology, Год журнала: 2023, Номер 2(2), С. 116 - 127

Опубликована: Апрель 13, 2023

ChatGPT is a state-of-the-art language model developed by OpenAI. It part of the GPT (Generative Pre-trained Transformer) series, which are designed to generate human-like output based on large amounts input data. one largest and most advanced models date, with 175 billion parameters. The article aims examine impact artificial intelligence tools techniques academic research their potential implications for ethics. In particular, this will focus practices in generating scientific within context powerful tool that can text different formats, conduct literature searches, suggest titles created text. However, using select topics low similarity score checkers may lead ethical violations. This finds use applications raise concerns about ethics, limited availability technologies detect such violations poses significant challenge writing.

Язык: Английский

Процитировано

79

Waste-to-energy supply chain management on circular economy capability: An empirical study DOI
Yudi Fernando, Ming‐Lang Tseng,

Nurarif Aziz

и другие.

Sustainable Production and Consumption, Год журнала: 2022, Номер 31, С. 26 - 38

Опубликована: Фев. 3, 2022

Язык: Английский

Процитировано

72