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KMO 2019 : KMO 2019: 14th International Conference On Knowledge Management In Organisations


When Jun 15, 2019 - Jun 18, 2019
Where Zamora
Abstract Registration Due Dec 30, 2018
Submission Deadline Jan 17, 2019
Notification Due Feb 10, 2019
Final Version Due Mar 10, 2019
Categories    innovation   big data   cloud computing   internet of things

Call For Papers

KMO 2019 conference aims to bring together leading academic researchers and research scholars to exchange and share their experiences and research from all aspects of Knowledge Management challenges. It also provides an interdisciplinary platform for researchers, practitioners and educators to present and discuss their most recent work, trends, innovation and concerns as well as practical challenges encountered and solutions adopted in the fields of Knowledge Management in Organisations.

The conference welcomes contributions from researchers and scholars to contribute to original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Knowledge Management in organisations at the conference. The conference solicits contributions of full papers that address themes and topics of the conference. We are also interested in case studies that demonstrate how KM research strategies have been applied and the lessons learned. Case studies and work-in-progress/posters are welcomed. PhD Research, proposals for roundtable discussions, non-academic contributions and product demonstrations based on the main themes are also invited.



Submission of tutorial: 30th December, 2018
Submission of paper: 10th January, 2019
Author notification: 10th February, 2019
Early Registration: 10th March, 2019
Camera ready: 10th March, 2019
Conference dates: 15th-18th July, 2019



Papers reporting original and unpublished research results pertaining to the above topics are solicited (Proceedings will be published by Springer CCIS series). Full paper and all submissions deadline is 10th December, 2018. These papers will undergo an academic review process. Full paper manuscripts must be in English with a maximum length of 12 pages (using the Springer template). All papers are blind reviewed.
IMPORTANT: Please do not include the author(s) information in the FIRST submission of the paper, in order for double-blind review to be carried out.

Submitting Papers

All papers must be formatted according to the Springer template, with a maximum length of 12 pages, including figures and references. All proposed papers must be submitted in electronic form (WORD format) using the Paper Submission Page


Accepted papers will be included in KMO 2019 Proceedings. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. All accepted papers will be published by Springer Verlag (LECTURE NOTES in Communications in Computer and Information Science (CCIS).



- Knowledge management in general

Dynamic Knowledge Integration and Visualization
Enterprise 2.0 Knowledge Management Development
Knowledge resource - intellectual capital
Knowledge Management Paradigm
Knowledge creation and sharing mechanisms
Knowledge management strategies, resources and competencies
Security and privacy issues
Semantic Integration
Knowledge Management Processes
Data Mining (store/discover/propagate)
Technologies for Knowledge Sharing
Cognitive knowledge
Knowledge management strategy
KM and data analytics
Km and AI/Intelligent systems
KM and machine learning
KM and learning technologies
KM and risk management
KM and project management
KM and cognitive computing
KM and quantum computing
Pushing the KM frontier
Ethics and privacy issues of KM, big data and AI
Cultural and organisational issues of KM
KM and related case studies
Knowledge visualization for knowledge management and business modelling
KM for Healthcare
KM for Smart cities
Knowledge Representation and Reasoning
Knowledge discovery in databases
Knowledge engineering and management
Security and intrusion detection in KM
Ontology and knowledge representation
Tacit knowledge capture and dissemination
Methodology and best practices to implement big data driven KM
Application of knowledge representation techniques to semantic modelling
Measurement and evaluation of KM effectiveness
Knowledge Management in Practice
Change management, KM in business transformation
Case studies and best practices
KM in SME’s

- Social and Organisational aspects

Social networks analysis
Algorithms for developing user profiles
Knowledge Management and supply chains
Benefits and Challenges in Adopting KM in the Public Sector
KM in Education
The role of KM in Tourism
KM and Sustainable Competitive Advantage
Social Networks Analysis
KM, HR and Organisational Culture
Social Networks Extraction and Construction
KM and Organisational Structures
Knowledge Management and Knowledge Networks
Value Creation through Knowledge
Transferring Critical Knowledge to Maintain Competitiveness
Best practices and communities of practice
Intellectual capital
Business Process Management
Requirements Engineering
Competitive and Business Intelligence
Social Media and Social Network Technologies
Social media analytics
Business forecasting
Knowledge management in innovative applications, such as healthcare information and network
security intelligence
Knowledge Creation
Organisational Memory
Big Data sharing Knowledge Analytics Framework and Architecture
Customer Knowledge in Innovation
Customer Knowledge Management
Managing Knowledge for Global and Collaborative Innovations
Co-production of Knowledge
Knowledge Management for Social Change and Innovation
The Impacts of Knowledge Management in the Organisation
Intelligent and Multi-agent Control Systems
Innovation Management
Design of innovation spaces
Future centres
Smart cities
Challenges in knowledge and creative economics
Open innovation
Future universities
Societal innovation
Crowd sourcing
Knowledge innovation systems
Taxonomies and Ontologies
Legal and social aspects of knowledge and idea protection and diffusion

- Innovation, Evaluation and Services

Innovative business models
Innovation and Knowledge
Innovation Management in the Public Sector Through KM
Re-thinking Knowledge Management
Innovative Processes and Models
Innovation in Education and Training
Practical examples of services innovation
Mobile Data Communications
KM Implementation Challenges and Opportunities
Knowledge Assets
Knowledge Measurement and Evaluation
Knowledge Sharing
Dynamic Knowledge Integration and Visualization
Knowledge Creation through Crowdsourcing
Social computing and knowledge management
Service Science
Management and Business Intelligence
Information security and knowledge protection
Web Services, Grid Services and Service-Oriented Computing
Knowledge Representation
Knowledge Evaluation
KM Tools and Techniques
Knowledge Quality Estimation and Uncertainty Handling
The Role of Semantic Web in Software and Service Development
Intelligent information systems
Modelling of service, industrial, and environmental processes
Predictive analytics
Semantic and Entity-Based Information Retrieval
Machine Learning for IR

- Big Data and Cloud Computing

Big Data Computing for Knowledge Management
Mobile Data Communications
Business models on Big Data applications
Supply chain of big data and data products
Real-time data mining in mobile internet
Web 2.0 and Data Mining
Data and Knowledge Interoperability and Exchange
Semantic web data management
Large-scale network data analysis
Large data stream processing on cloud
Large incremental datasets on cloud
Open source real-time computing system for data mining
Security and privacy in Big Data
Knowledge Acquisition and Discovery (AI, Data Mining, Text and Web Mining
Knowledge Organisation (Meta Data, Taxonomies and Ontology)
Theoretical development of Big Data
Volume, velocity and variety of Big Data on cloud
Cloud computing, peer-to-peer, parallel and distributed databases
Big data and innovation
Data and Knowledge Modelling
Use Cases and Applications in Knowledge and Big Data analytics
Data mining theory, methods, and applications
Data warehousing and business intelligence
Big Data theory
Big data analytics
Big Data applications
Big Data processing tools
Big Data visualization
Big Data management
Big data and smart city
KM and Data Security
Case studies of big data mining applications for providing online customer support
Big data for knowledge management
Capture of big data for knowledge management
Big data and knowledge extraction
New algorithmic approaches to Big Data
Big data and knowledge sharing
Privacy Preserving Big Data Collection / Analytics
Big data on cloud
Big Data Computing for Knowledge Management
KM in the Cloud
Privacy preserving on cloud

- Internet of Things

Formal verification and model-checking for Internet of Things applications
Knowledge representation models in the Internet of Things
Business information processing and business models in the Internet of Things
Management information systems of the Internet of Things
Knowledge retrieving and sharing mechanisms in the Internet of Things
Integration of heterogeneous information for the Internet of Things
Reasoning algorithms for the knowledge systems in the Internet of Things
Knowledge representation models in the Internet of Things
Governance, Ethics and Trust in IoT and Big Data in KM
Software engineering in the Internet of Things
Service oriented computing in the Internet of Things
Mobile tracking services in the Internet of Things
Context Awareness in the Internet of Things
Enterprise knowledge management in the Internet of Things
Service oriented computing in the Internet of Things
Privacy protection and security issues of the Internet of Things
Intelligent applications of the Internet of Things
Technologies of data management and integration in the Internet of Things
Data Mining in the Internet of Things
Interoperability including Semantic interoperability in the Internet of Things
Business models for the Internet of Things
Development methodologies for IoT-based applications
IoT for health
Organisational semiotics
Testing, debugging, validation, and QoS modelling of Internet of Things applications



Conference Chair

Lorna Uden - Staffordshire University, UK

Program Chair

Juan Manuel Corchado - University of Salamanca (Spain)
I Hsien - National University of Kaohsiung (Taiwan)

Local Chair

Fernando De la Prieta - University of Salamanca (Spain)



- Wim Vanhaverbeke - Hasselt University (Belgium) 

Title: "Digital technologies and the Governance of Innovation Ecosystems."



Authors of selected papers will be invited to extend and revise their papers to be submitted to a special issue of International Journal of Web Engineering and Technology (IJWET) published by Inderscience.


High technical school of Zamora, Av. de Requejo, 33, 49029 Zamora. Universidad de Salamanca





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