【特刊征稿】SI特刊“智能经济与管理”征稿（综合性期刊IF=3.8）

Special Issue “Artificial Intelligence for the Sustainable Economics and Bussiness”

Special Issue Information详细SI信息点我
Dear Colleagues,

With the prosperity of the era of artificial intelligence and the wide application of computer science technology led by machine learning in multiple scientific and social fields, research scholars must now focus on how to use AI technology to solve the issues of economy, finance and management in a much more sustainable way. From the perspective of applications, the ongoing innovations in AI technology fill the shortcomings of traditional analysis and management tools, such as deficiency in processing complex information and incapacity of computing big data. From the perspective of research, AI techniques and methods are maintained to keep solving economic, financial and management problems. It is essential to reveal how AI technology impacts management disciplines in enterprises, institutions, industries, and markets, further improve research methods, and promote applications of AI techniques better to serve more efficient operations of the economy and society.

Special issue topics include, but are not limited to：

AI-related econometrics and applied economics;
Blockchain and financial engineering;
Business models;
Business intelligence and knowledge management;
Environment, critical and disaster management;
Financial market management;
Logistics and value chain management;
Management and corporate governance;
Marketing management and brand management;
Information systems management;
Industry economics and industrial organization management;
Innovation and technological change management;
Operations research;
Public policy and management;
Risk management.
Recommend research paradigms and designs for references:

Jiayin Qi, Zhenping Zhang, Seongmin Jeon, Yanquan Zhou, Mining customer requirements from online reviews: A product improvement perspective, Information & Management, 2016, 53(8), 951-963.
Liu et al., “OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach,” in IEEE Transactions on Computational Social Systems, 2022. https://doi.org/10.1109/TCSS.2022.3199119.
Peiwan Wang, Lu Zong, Ye Ma. An integrated early warning system for stock market turbulence. Expert Systems with Applications, 2020, 153, 113463.
Jan De Spiegeleer, Dilip B. Madan, Sofie Reyners & Wim Schoutens. Machine learning for quantitative finance: fast derivative pricing, hedging and fitting, Quantitative Finance, 2018, 18(10), 1635-1643,
Liu, F.; Fan, H.-Y.; Qi, J.-Y. Blockchain Technology, Cryptocurrency: Entropy-Based Perspective. Entropy 2022, 24, 557.
Canhoto, I., Clear, F., Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential, Business Horizons, Volume 63, Issue 2, 2020, Pages 183-193, ISSN 0007-6813.
Dr. Feng Liu
Dr. Peiwan Wang
Prof. Dr. Jiayin Qi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.

Keywords
AI methods and applications
technology innovation
machine learning models
economic management
financial management
risk management
policy and governance
optimization system
management system
information system
intelligent business
technical accounting

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【特刊征稿】SI特刊“智能经济与管理”征稿（综合性期刊IF=3.8）

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