Welcome Letter

The 9th International Conference on Industrial and Business Engineering (ICIBE 2023)

2023年第九届工业与商业工程国际会议

Theme: " Digital Transformation and Digital Intelligent Management "

主题:“数字化转型与数智化管理”

On behalf of the Organizing Committee, we are delighted to invite you to participate in The 9th International Conference on Industrial and Business Engineering (ICIBE 2023) to be held in Beijing, China from September 22 to September 24, 2023. ICIBE 2023 is organized by North China University of Technology (China), co-organized by University of Rzeszów (Poland) and Pathumthani University (Thailand), and technical supported by University of Macau, China and Mapua University, Philippines. ICIBE 2023 will provide an effective platform for professionals, scientists, engineers, educators, students, and researchers worldwide to share and exchange their scientific ideas, views, innovations, and experiences in the vast areas of Industrial and Business Engineering with fellow researchers and participants. The conference features a dynamic program incorporating a range of academic, technical, and industrial related keynote speakers, oral and poster presentations. We warmly invite you or anyone interested in the area, to take part in this unique and timely conference with your enthusiasm to develop, your desire to apply, and your willingness to mature the Industrial and Business Engineering technologies and applications.

 

Call for Papers 征稿主题 (Flyer)

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of ICIBE 2023. The topics are not limited to those as below:

If you don't find your topic, please directly submit your manuscript...

Digital and Intelligent Engineering Management
工程管理数字化、智能化
Digital and Intelligent Manufacturing and Management
数字化智能制造与管理
Digital Project Management
数字项目管理
Digitally Intelligent Safety, Security and Risk Management
数字智能安全、安保和风险管理
Digital and Intelligent Supply Chain Management
数字化、智能化的供应链管理
Digital and Intelligent Logistics Engineering and Management
数字化智能物流工程与管理
Digital Human Resource Management
数字化人力资源管理
Digital Marketing Management
数字营销管理
Digital and Intelligent Equipment Management
数字化、智能化的设备管理
Digital and Intelligent User Behavior Analysis and Service
数字化、智能化的用户行为分析与服务
Social Media and Smart Commerce
社交媒体和智能商务
Data-Driven Business Management Decisions
数据驱动的业务管理决策
Digital-Intelligent Method and Application of Enterprise Risk Early Warning
企业风险预警的数智化方法及应用
Public Opinion Analysis and Risk Early Warning
舆情分析与风险预警
Digital and Intelligent Information Management and Analysis
数字化智能信息管理与分析
Research on Digital Intelligence Management Information System
数字化智能管理信息系统研究
Semantic Web, Web 2.0 and Business Intelligence
语义网、Web 2.0 和商业智能

Artificial Intelligence Technology and Intelligent Social Governance
人工智能技术与智能社会治理
Digital and Intelligent Social Governance and Sustainable Development
数字化智能社会治理与可持续发展
Digital Platform Management
数字平台管理
Digital Economy and Sustainable Development
数字经济与可持续发展
Intelligent Media and Information Dissemination
智能媒体与信息传播
Public Crisis management and Intelligent Decision-making
公共危机管理与智能决策
Smart Healthcare and Smart Pension
智慧医疗与智慧养老
Fintech empowers innovation in credit risk supervision
金融科技赋能信用风险监管创新
Digital Governance and Policy Intelligence
数字治理和政策情报
Smart Cities and Connected Vehicles
智能城市和联网车辆

Design Methods, Tools and Science for Electronic Commerce
电子商务的设计方法、工具和科学
Models, Platforms and Applications of E-Commerce
电子商务的模式、平台和应用
Components, Services and Solutions for E-Commerce
电子商务的组件、服务和解决方案
Cloud and Mobile Software Engineering
云和移动软件工程
Service Oriented Software Engineering
面向服务的软件工程
Big Data Analysis for E-Commerce
电子商务大数据分析
Supercomputing and Simulation of Electronic Commerce

电子商务超级计算与仿真
E-Commerce Marketing, Data Mining and Relationship Management
电子商务营销、数据挖掘和关系管理
Machine Learning, Cybernetics and Agents for E-Commerce Service Management
电子商务服务管理的机器学习、控制论和代理
Data And Knowledge Engineering for E-Commerce
电子商务的数据和知识工程
Workflow and Business Flow Management Tools and Methods of E-Commerce
电子商务的工作流和业务流管理工具和方法

Digital Intelligence Empowers Industry Development
数智赋能产业发展
Digital And Intelligent Industrial Chain Management
数字化、智能化的产业链管理
New Digital Infrastructure Empowers Smart Cities
数字新基建赋能智慧城市
Digital Economy and High-Quality Urban Development
数字经济与城市高质量发展
Blockchain Empowers Smart Cities
区块链赋能智慧城市
Network Economy and Knowledge Management
网络经济与知识管理
Manufacturing Digital Transformation
制造业数字化转型
Digital Transformation of The Service Industry
服务业数字化转型
Restructuring The Manufacturing System in The Digital Era
重构数字时代的制造系统
Digital Trade and Digital Industry Development
数字贸易与数字产业发展
Circulation Law and Management Technology of Data Elements
数据元素的流通规律与管理技术
Internet of Things (IoT) Applications
物联网 (IoT) 应用
Industry 4.0 and Smart Manufacturing
工业 4.0 与智能制造

Important Dates 重要日期

June 20th, 2023

2023年6月20日

July 20th, 2023

2023年7月20日

August 10th, 2023

2023年8月10日

Speakers IN ICIBE 2022

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Xiaowen Fu

The Hong Kong Polytechnic University, China

His main research area is transport economics and management.

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Xu Chen

University of Electronic Science and Technology of China, China

His current research interests include coopetition management, supply chain management, and operations management.

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Jingzhi Guo

University of Macau, China

He research focuses on the e-commerce areas of electronic marketplace, concept representation, semantic integration, collaborative commerce, virtual world and virtual marketplace, and electronic payment systems.

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Bambang Leo Handoko

Bina Nusantara University, Indonesia

He is an expert in financial auditing, forensic accounting, information technology auditing and also e-business.

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Yogi Tri Prasetyo

Mapua University, Philippines

His research interests including human-computer interaction particularly related to eye movement, color optimization of military camouflage, strategic product design, usability analysis.

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Fanfang Ye

Guangdong University of Science and Technology, China

Her research interests are in logistics and supply chain management.