Call for Papers 征稿范围 | Conference Flyer 征稿通知下载

ICBIM 2021 is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Business and Information Management. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

Session 1: Information Systems And Technology
Accounting And Financial Information System
Adoption Of Information Technology In Organizations
Auditing And IT Governance
Automated Mediation In Group Support Systems
Business Strategy And Information Systems
Data And Knowledge Engineering For E-Business
Management Information Systems
Information Systems Planning And Management
Decision Support System
IT Education And Society
Knowledge Management
Dependability And Performance Of E-Business Systems
Distributed Information Systems, Electronic Commerce
Engineering And Software Development
Enterprise Information Systems
Health Care Administration
Human Factors In Information Systems
Information And Communication Technology
Information Quality And Strategy
Information Technology Management
IT And IS Security
Quantum Information
Quantum Strategies
Computational Intelligence
Digital Business
Software Agents And Intelligent Agents
Project Management
Open Source Software

Session 2: E-Business Engineering And Management
Innovation Management
E-Commerce Platforms & Models
E-Commerce Applications
Workflows And Transactions In E-Business
Management And Engineering Of IT-Enabled Services
Requirement Analysis And Modeling Of E-Business Systems
Dependability And Performance Of E-Business Systems
Business Performance Management
Data And Knowledge Engineering For E-Business
Mobile And Pervasive Commerce
Security, Privacy In E-Commerce
Open Source Technologies In E-Commerce/Business/Services
E-Commerce Models, Applications And Technologies
Service Oriented Computing For E-Business

Session 3: Social Network Analysis
Crowdsourcing of Social Network And Media Data Generation And Collection
Data Preparation And Data Modeling for Social Networks And Social Medias
Exploratory And Visual Data Analysis of Social Network And Media Data
Large-Scale Graph, Search And Time Series Algorithms On Social Networks
Anomaly And Outlier Detection
Community Discovery
Link And Node Classification
Link And Node Prediction
Entity Resolution
(Social) Graph Construction
Data Mining Applications On Social Network And Media Data:
Recommender Systems
Opinion And Suggestion Mining
Sentiment Analysis
Misbehavior Detection
Activity Prediction
Event Detection
(Epidemic) Spreading

Session 4: Human Resources
Information & Human Resources Management
ICT & Human Resources
Internet-Enabled & Web-Based Recruitment
Social Media & Recruitment
Digital Recruitment
Digital Recruitment Strategies

Session 5: Data Science
Data Mining
Natural Language Processing
Semantic Web
Bio NLP, Healthcare Informatics
Text Mining
Information Retrieval
Machine Learning
Ontologies, Knowledge Representation, Linked Open Data
Social Networks, Social Web, And Web Science
Information Visualization
OLAP, Data Warehousing, Business Intelligence
Spatiotemporal Data
Agent-Based Systems
Constraints, Satisfiability, And Search


All research submissions must be in English.
Submissions must be in PDF, formatted with the Publications format.

Full Papers
Long Papers are limited to a total of 10 (at least 8 pages) pages, including all content and references, extra pages will be charged.


Abstract Papers
Short Papers are limited to a total of 1 (about 150-300 words) page, including all content and references.