[open-linguistics] BIS 2017, Call for Papers, June 28 - 30, 2017, Poznan, Poland

[BIS 2017]

CALL FOR PAPERS
======================================================================
20th International Conference on Business Information Systems
BIS 2017
Poznań, Pozland

June 28-30, 2017

http://bis.kie.ue.poznan.pl/bis2017/
======================================================================
Deadline for submissions: January 9, 2017

(Proceedings in Springer's LNBIP series)
======================================================================

THEME OF THE CONFERENCE

======================================================================

Big Data Analytics for Business and Public Administration

The increasing interest in Big Data resulted in the transformation of science, medicine, healthcare, engineering, business, finance, administration and even society. Big Data Analytics helps organisations process their data in order to identify new opportunities. The results might make the business smarter by enabling faster and better decision making, more efficient operations and higher profits, and also lead to more satisfied customers by gauging their needs.

Big Data Analytics helps to understand and enhance enterprises by linking many fields of information technology and business. Moreover, governments are using Big Data Analytics to gain new insights to change the accepted notions of public service, improve quality of life and set new patient-centric standards for healthcare. Thus, BIS 2017 conference will continue the discussion about Big and Smart Data started on the previous editions. We invite researchers and business practitioners to publish the latest results in Big Data Analytics research. Our goal is to inspire you to think outside the box by sharing theoretical and practical knowledge of ongoing Big Data solutions and technologies.

======================================================================

CONFERENCE TOPICS

======================================================================

Topics include (but are not limited to):

Big and Smart Data
* Business Intelligence
* Linked (Open) Data
* Big Data analytics
* graph analytics
* real-time Big Data analysis
* data models for Big & Smart Data
* business models for Big & Smart Data
* semantic web applications
* data and information quality
* information extraction
* sentiment analysis
* data integration from Web information sources
* modelling and describing evolving data sources
* information gathering for supporting knowledge-intensive enterprises

Business and Enterprise Modelling
* requirements for enterprise modelling
* modelling of enterprise architecture
* quality of enterprise models
* change management
* enterprise modelling theory
* enterprise modelling practice, case studies, and action research
* conceptualizations, notations, and ontologies
* Industry 4.0

ICT Project Management
* tools and techniques
* stakeholder and user management
* effort, time, and cost estimation
* resources management
* risk management
* quality management
* global and virtual development teams

Process Management
* semantic business process management
* adaptive and dynamic processes
* supply chain processes
* ERP implementations
* integration of data and processes
* collaborative BPM
* value chain design
* complex event processing

Smart Infrastructures
* cloud computing
* security and privacy
* sensor systems
* Internet of Things

Social Media
* social CRM
* social user experience
* social media in business
* social media and privacy
* social media analytics
* social computing
* social sentimental analysis

Applications
* smart cities
* smart manufacturing
* e-business
* e-health
* e-government
* mobile applications
* industry specific applications
* social network applications
* agent systems and applications

======================================================================

SUBMISSION

======================================================================

BIS 2017 proceedings are planned to be published as a volume in Lecture Notes in Business Information Processing (LNBIP) series by Springer Verlag.
http://www.springer.com/computer?SGWID=0-146-6-450209-0

Information for LNBIP authors may be found at
http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0

Submission: http://bis.kie.ue.poznan.pl/bis2017/submission-guidelines/
* language of publication: English
* paper must not exceed 12 LNBIP pages (including abstract and references)*
* please include a 100-word abstract at the beginning of the paper, which clearly presents the achievement or contribution of the paper
* please include 4-7 keywords best describing your paper
* we understand that you submit your original work that has not been published or submitted elsewhere, and that you agree to publish your work when it is accepted by the Program Committee; you will be required to send a signed copyright form as required by Springer at a later stage
* at least one author should register for the conference and present the paper; only registered authors’ papers will be included in the proceedings
* the authors will prepare the final manuscript in time for its inclusion in conference proceedings

======================================================================

IMPORTANT DATES

======================================================================

* Submission deadline for conference papers: January 9, 2017
* Notification of acceptance/rejection: March 10, 2017
* Submission of final papers: March 24, 2017
* Conference: June 28-30, 2017

======================================================================

ORGANIZERS

Poznan University of Economics and Business, Department of Information Systems

======================================================================

Poznan University of Economics and Business
Dept. of Information Systems
Al. Niepodleglosci 10
61-875 Poznan, POLAND

Phone: +48(61)639-2797 Fax: +48(61)854-3633
bis[at]kie[dot]ue[dot]poznan[dot]pl