News & Activities

ICEEG 2026University of Western Australia|Perth, Australia|November 16-18, 2026Conference Theme: Harnessing AI and Emerging Technologies for E-Commerce, E-Business, and E-Government Successhttps://www.iceeg.orgThe conference and program committee of ICEEG 2026 would like to invite those working in areas related to E-Commerce, E-Business and E-Government to submit full paper or abstract, which will be presented as either oral or poster at the conference.Welcome to ICEEG 2026!It is with great enthusiasm that we invite you to join us at The 9th International Conference on E-Commerce, E-Business, and E-Government (ICEEG 2026) , which will take place from November 16-18, 2026, in the historic city of Perth, Australia .As we stand at the forefront of a digital revolution, ICEEG 2026 will bring together leading scholars, industry experts, and professionals from around the globe to explore the dynamic intersections of E-Commerce, E-Business, and E-Government. Under the theme, “Harnessing AI and Emerging Technologies for E-Commerce, E-Business, and E-Government Success,” this conference aims to shine a spotlight on how cutting-edge innovations such as artificial intelligence, blockchain, and digital transformation are redefining these sectors and shaping the future of our global economy.Over three days, ICEEG 2026 will provide a vibrant platform for exchanging ideas, showcasing research, and discussing strategies to unlock new possibilities in the digital realm. Whether you are a researcher, policymaker, entrepreneur, or practitioner, your presence and participation will contribute to insightful discussions and collaborations that will drive the future of E-Commerce, E-Business, and E-Government.Conference ProceedingsSubmissions will be peer-reviewed by 2-3 technical committee or reviewers. Accepted and registered papers will be published in the ICEEG 2025 Conference Proceedings, and it will be indexed by Ei compendex and Scopus.Journal PublicationSelected papers from the conference will undergo second round of blind review for potential publication in the Journal of Advances in Information Technology (JAIT).Topics of interest include, but are not limited to:AI-Driven Innovations in E-Commerce and E-BusinessAI and Machine Learning Applications in Online RetailPredictive Analytics and Consumer Behavior ModellingPersonalized Shopping Experiences through AIChatbots, Virtual Assistants, and Customer Service AutomationAI in Supply Chain and Inventory ManagementBlockchain Technology in E-Commerce, E-Business, and E-GovernmentBlockchain for Secure Transactions and PaymentsSmart Contracts in Business OperationsDecentralized Finance (DeFi) and E-CommerceEnhancing Transparency and Trust in Digital Governance with BlockchainBlockchain for Secure Digital Identity and Data ManagementDigital Transformation Strategies for E-Commerce and E-GovernmentThe Role of Emerging Technologies in Public Sector TransformationE-Government Services: Enhancing Efficiency through Digital ToolsDigital Transformation in Small and Medium Enterprises (SMEs)Cloud Computing and SaaS in E-Business OperationsDigital Infrastructure for Seamless Business OperationsCybersecurity and Data Privacy in the Digital EconomyProtecting Consumer Data in E-Commerce PlatformsRegulatory and Ethical Considerations for AI and Data PrivacyAddressing Cybersecurity Challenges in E-Government ServicesCryptographic Methods for Securing Digital TransactionsEnsuring Trust and Safety in the Digital MarketplaceSustainability and Social Responsibility in Digital CommerceGreen Technologies for Sustainable E-CommerceAI for Sustainable Business PracticesEthical Issues in AI-Driven E-Commerce and Business ModelsE-Waste Management in Digital TransformationSocially Responsible E-Government InitiativesThe Future of Digital Payments and Fintech SolutionsAI-Driven Financial Technologies (FinTech) in E-CommerceDigital Wallets and Contactless Payments: Opportunities and ChallengesCross-border Payments and Currency InnovationThe Rise of Cryptocurrencies and Their Impact on E-CommerceFinancial Inclusion through Emerging Payment TechnologiesConsumer Experience and Engagement in the Digital EraLeveraging AI for Enhancing Customer EngagementOmnichannel Retail Strategies and Customer JourneysVirtual Reality (VR) and Augmented Reality (AR) in E-CommerceGamification in E-Business and E-GovernmentCustomer Loyalty Programs Powered by Emerging TechnologiesSmart Cities and the Role of E-GovernmentLeveraging AI and IoT for Smart City GovernancePublic Services Automation and Smart Governance ModelsE-Government Services for Citizens: Access and InclusivityDigital Solutions for Urban Mobility and Public SafetyThe Future of Work in Public Sector DigitalizationCross-Border E-Commerce and Global Digital MarketsEmerging Trends in Global E-CommerceChallenges and Opportunities for Cross-Border E-CommerceInternational Regulations and Standards for Digital CommerceThe Impact of AI on Global Trade and Supply ChainsMarketplaces and Platforms for Global E-Commerce ExpansionEntrepreneurship and Innovation in the Digital AgeStartups and AI-Driven Business ModelsDigital Marketing and E-Commerce EntrepreneurshipVenture Capital and Investment Trends in Emerging TechnologiesBuilding Innovative Business Ecosystems in E-CommerceAI as a Tool for Business Strategy and Innovation Submission MethodsPlease submit your paper via: Online Submission System or conference email directly: iceeg@academic.net.Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.Abstracts are accepted for oral presentation opportunity, not for publication, for those researches which are not ready for publication, you can also send us an abstract only.Full Paper Template: Full-Paper-Template.docx Abstract Template: Abstract-Template.doc

2026 8th International Conference on Big Data Management https://www.icbdm.org/index.htmlWelcome to ICBDM 2026! 2026 8th International Conference on Big Data Management (ICBDM 2026) will be held in Derby, UK during June 24-26, 2026! It's hosted by University of Derby. The theme of this year is "Data Management in Statistics and Data Science".The conference aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of big data management. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of big data management.Important DatesSubmission Deadline: April 5, 2026Acceptance Notification: May 5, 2026Registration Deadline: May 20, 2026Camera-Ready Version: May 20, 2026Early Bird Registration End: May 20, 2026JournalA few selected papers with extended version will be published in theJournal of Advanced Management ScienceISSN: 2810-9740 Frequency: SemiannuallyDOI: 10.18178/joamsAbstracting/ Indexing: CNKI, Google Scholar, CrossrefTemplate: JOAMS TemplateCall for PapersTopics of interest for submission include, but are not limited to:Track 1: Big Data Analysis and ManagementData Acquisition, Integration, Cleaning, and Best PracticesBig Data Search Architectures, Scalability and EfficiencyCloud/Grid/Stream Data Mining- Big Velocity DataSemantic-based Data Mining and Data Pre-processingBig Data as a ServiceData Lifecycle Management: From Collection to ArchivingData Governance Frameworks and Best PracticesData Management Standards (e.g., FAIR principles: Findable, Accessible, Interoperable, Reusable)Ethical Considerations in Data ManagementAlgorithms and Systems for Big Data SearchVisualization Analytics for Big DataChallenges in Managing Large-scale DatasetsBig Data Processing Frameworks (e.g., Apache Spark, Apache Flink)Scalable Storage Solutions for Big DataMobility and Big DataMethods for Data Collection: Surveys, Experiments, Sensors, Web ScrapingData Integration Techniques: ETL (Extract, Transform, Load) ProcessesSearch and Mining of Variety of Data including Scientific and Engineering, Social, Sensor/IoT/IoE, and Multimedia DataTrack 2: Data Structures and Data ModelsMultimedia and Multi-structured Data- Big Variety DataComputational Modeling and Data IntegrationRelational Databases (e.g., SQL) vs. NoSQL Databases (e.g., MongoDB, Cassandra)Data Warehousing and Data Lake ArchitecturesCloud-based Data Storage Solutions (e.g., AWS S3, Google BigQuery)Distributed Storage Systems for Big Data (e.g., Hadoop HDFS)Data Quality Metrics: Accuracy, Completeness, Consistency, and TimelinessTechniques for Data Cleaning and PreprocessingHandling Missing Data: Imputation Methods and StrategiesOutlier Detection and Treatment in DatasetsReal-Time Data Collection and Streaming Data ManagementImportance of Metadata in Data ManagementMetadata Standards and Schemas (E.G., Dublin Core, Schema.Org)Tools for Metadata Extraction and ManagementRole of Metadata in Data Discovery and ReuseVisualization of High-Dimensional DataManaging Unstructured Data (E.G., Text, Images, Videos)Data Silos and Interoperability IssuesTrack 3: Big Data Security and PrivacyVisualizing Large Scale Security DataThreat Detection using Big Data AnalyticsPrivacy Threats of Big DataPrivacy Preserving Big Data Collection/AnalyticsHCI Challenges for Big Data Security & PrivacySociological Aspects of Big Data PrivacyTrust Management in IoT and Other Big Data SystemsData Encryption and Anonymization TechniquesRole-based Access Control (RBAC) and Data PermissionsCompliance with Data Protection Regulations (e.g., GDPR, CCPA)Secure Data Sharing and Transfer ProtocolsVisualizing Large Scale Security DataBalancing Data Accessibility with SecurityTrust Management in IoT and Other Big Data SystemsHCI Challenges for Big Data Security & PrivacyTrack 4: Big Data Analysis Tools and Key TechnologiesHealthcare: Managing Electronic Health Records (EHR) and Patient DataFinance: Data Management for Fraud Detection and Risk AnalysisEnvironmental Science: Managing Climate and Satellite DataSocial Sciences: Handling Survey and Census DataE-Commerce: Customer Data Management and PersonalizationComplex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, TelecommunicationBig Data Analytics in Small Business Enterprises (SMEs)Big Data Analytics in Government, Public Sector and Society in GeneralReal-Life Case Studies of Value Creation through Big Data AnalyticsExperiences with Big Data Project DeploymentsBig Data as a ServiceBig Data Industry StandardsTrack 5: Application of Big Data in Information SystemsTools and Techniques for Exploratory Data Analysis (EDA)Interactive Dashboards for Data Exploration (E.G., Tableau, Power BI)Open-Source Data Management Tools (E.G., Apache Nifi, Talend)Data Management Platforms (E.G., Snowflake, Databricks)Cloud-Native Data Management SolutionsAutomation Tools for Data Pipelines (E.G., Airflow, Prefect)Data Pipelines for Machine Learning WorkflowsFeature Engineering and Dataset PreparationManaging Labeled and Unlabeled Data for Supervised and Unsupervised LearningData Versioning and Reproducibility in ML ExperimentsData Management for AI and Deep LearningBlockchain for Secure and Decentralized Data ManagementFederated Learning and Privacy-Preserving Data ManagementQuantum Computing and Its Impact on Data Management