Information and Communication Technology (ICT) plays an increasingly important role in organizations, inter-organizational networks, society and individuals' daily life. Business activities are dependent on complex, distributed software systems operating in dynamic and often unpredictably changing business environments. In this context, Business Informatics Research is essential.
In order to produce and supply products and services more efficiently organizations must be able to adapt and quickly exchange information with internal and external collaborators and customers. Demand for increasing interoperability exists at technological, business process, and knowledge levels. Methods, theories, and tools that maintain change and adaptation of business processes, organizations, and their supporting software are needed. Furthermore, recent challenges are directed to more human-oriented, highly personalized and trustworthy, high-quality systems enabling their users to cope with the large variety of frameworks, technologies and tools needed to accommodate emerging business applications.
Research contributions for the conference will be on aspects of and future directions in Business Informatics Research with respect to the above-mentioned theme of interoperability and adaptation, as well as on exploring scientifically the practical aspects and establishing empirically grounded analyses of business cases in order to provide a better evaluation to the applications of ICT in industry. Contributions from both ongoing research and implications for future directions are welcome.
The BIR conference series create a forum where researchers in business informatics, seniors as well as juniors, could meet and discuss with each other. The BIR 2016 conference welcomes papers from all over the world. We accept original papers of the following types: full research papers, research-in-progress papers, industrial papers. Doctoral Consortium and workshops will also take place at BIR 2016.
The conference papers should be focused on but not limited by following topics:
Business, people and systems interoperability• Philosophical and social perspectives of interoperability • Ontological foundations of Business Informatics • Systems theory and principles • Conceptual modelling • Human oriented systems • Emerging technologies and paradigms • Methods, architectures and communication technologies supporting interoperability • Enterprise modelling and virtual organisations • ERP, CRM and SCM systems • e-commerce, e-business, e-government
Business intelligence• Business intelligence systems • Data warehousing • Decision support systems • Databases for business • Competing on analytics • Healthcare/Medical Informatics
Openness in business informatics• Open source development and deployment tools • Interoperability of open source communities • Integrating open source technology with commercial and proprietary products • Open innovation • Open data • Web and social computing
Business and information systems development• Business process modelling • Model driven architecture (MDA) • Service oriented architecture (SOA) • Requirements engineering • The synergy of agile and MDA development processes • IS modelling, testing and verification • Object oriented techniques and methodologies • Unified modelling language (UML) • Workflow management • Quality of business software • Business rules • IS security issues
Knowledge Management and Semantic Web• Knowledge management in interconnected world • Linked data • Semantic Web methods and languages • Ontology modelling languages and tools • Open innovation • Ontology applications in business • E-learning and learning organizations
Contextualized evaluation of business informatics• Feasibility of existing techniques and languages • Contextualized value and quality • User acceptance of new technology • Hedonic approaches in business systems • Curriculum design and implementation issues • Case studies and experience reports • Project management issues • Risk management issues
In this context, the foundations of a “conceptual-model”-awareness approach for next generation Enterprise Information Systems will be presented. This novel approach makes use of semantic networks to extend model-awareness towards arbitrary types of models that are developed for specialized communities aiming for domain-specificity (or even case-specificity) in their modeling language, therefore favoring productivity at the expense of reusability across domains. The technological space for capturing and bridging knowledge through model semantics is primarily based on diagrammatic models. Two categories of models are employed in this context: (1) Models of Concepts – for describing a common understanding of a domain through its concepts and relations; (2) Models that use Concepts – typically domain-specific models based on some already established understanding of the domain.
The hereby introduced Agile Modeling Method Engineering –AMME- concept aims to apply the principle of agility established in Software Engineering (e.g., evolutionary development, flexible response to change) to the practice of Modeling Method Engineering. The main assumption is that a modeling method may evolve iteratively based on changing modeling requirements and feedback loops.
Within the context of AMME, a full methodological life cycle is established by the OMiLab Laboratory (http://www.omilab.org), with encompassing five phases: (1) create, (2) design, (3) formalize, (4), develop and (5) deploy/validate. The approach is supported, in its prototyping stage, by the meta modeling domain-specific language MM-DSL and within the academic version of the meta-modeling platform ADOxx (http://www.adoxx.org).
read Computer Science at the Technical University of Berlin and was subsequently a visiting scientist at research institutions in the US and Japan. Between 1987 and 1992 he was the scientific director of the Business Information Systems Group at the Research Institute for Applied Knowledge Management (FAW) in Germany. From 1993 onwards he has been full professor at the Faculty of Computer Science at the University of Vienna, where he started the Knowledge Engineering Research Group. Since 2000 he creates the Open Model Initiative Laboratory (http://www.omilab.org) based on the ADOxx meta-modeling platform.
His main research interests include Knowledge Management, modeling methods and meta-modeling platforms. Besides his engagement in national and EU-funded research projects Dimitris Karagiannis is the author of research papers and books. He serves as an expert in various international conferences and is currently on the editorial board of Business & Information Systems Engineering (BISE), Enterprise Modeling and Information Systems Architectures, Journal of Systems Integration and the Journal of Requirements Engineering. He has held appointment as a visiting professor and scientific expert at many international institutions.
In 1995 he established the Business Process Management Systems Approach (BPMS), which has been successfully applied in business process projects as implementation methodology within several industrial and service companies. He is the founder and at present chairman of the supervisory board of the European software- and consulting company BOC (www.boc-group.com), which implements software tools based on the meta-modeling approach and offers related services.
In his ACM Turing Award Lecture entitled “The Humble Programmer”, E. W. Dijkstra discusses the sheer complexity one has to deal with when programming large computer systems. His article represented an open call for an acknowledgement of the complexity at hand and for the need of more sophisticated techniques to master this complexity. This talk advocates the view that we are now in an analogous situation with respect to Conceptual Modeling. We will experience an increasing demand for building Reference Conceptual Models in subject domains in reality, as well as employing them to address classes of problems, for which sophisticated ontological distinctions are demanded. One of these key problems is Semantic Interoperability. Effective semantic interoperability requires an alignment between worldviews or, to put it more accurately, it requires the precise understanding of the relation between the (inevitable) ontological commitments assumed by different conceptual models and the systems based on them (including sociotechnical systems). This talk advocates the view that an approach that neglects true ontological distinctions (i.e., Ontology in the philosophical sense) cannot meet these requirements. The talk discusses the importance of foundational axiomatic theories and principles in the design of conceptual modeling languages and models. Moreover, it discusses the role played by three types of complexity management tools: Ontological Design Patterns (ODPs) as methodological mechanisms for encoding these ontological theories; Ontology Pattern Languages (OPLs) as systems of representation that take ODPs as higher-granularity modeling primitives; and Ontological Anti-Patterns (OAPs) as structures that can be used to systematically identify possible deviations between the set of valid state of affairs admitted by a model (the actual ontological commitment) and the set of state of affairs actually intended by the stakeholders (the intended ontological commitment). Finally, the talk elaborates on the need for proper computational tools to support a process of pattern-based conceptual model creation, analysis, transformation and validation (via model simulation).
has a PhD (with the highest distinction) from the University of Twente, The Netherlands. He currently leads the Ontology and Conceptual Modeling Research Group (NEMO) at the Federal University of Espirito Santo in Brazil and is an Associate Researcher to the Laboratory of Applied Ontology (LOA), in Trento, Italy. Two well-known results of his laboratory are: the ontologically well- founded version of UML termed OntoUML, which has been adopted by many research, industrial and government institutions worldwide; and the foundational ontology UFO (Unified Foundational Ontology), which has influenced international standardization activities in areas such as Software Engineering and Enterprise Architecture (e.g., the Archimate Standard). He has been active for two decades in the areas of Ontologies, Conceptual Modeling and Enterprise Semantics. Over the years, he has conducted many technology transfer projects in large organizations in sectors such as Telecommunications, Software Engineering, Digital Advertisement, Product Recommendation, Digital Journalism, Complex Media Management, Energy, among others. Moreover, he has authored 183 peer-reviewed publications in the aforementioned areas, which have received more than 10 paper awards. He has also been invited to be a keynote speaker in a number of international scientific events (e.g., ER, BPM, I3CK, EEWC). Furthermore, he is currently the general chair of the International Conference on Formal Ontology in Information Systems (FOIS 2016) and is an associate editor of the Applied Ontology journal. Finally, he has also been elected twice as an Executive Council member of the International Association for Ontologies and Applications (IAOA) and is currently a member of the Advisory Board of the same association.
Mārīte Kirikova, Riga Technical University, Latvia (Chair)
Kurt Sandkuhl, Rostock University, Germany (Co-Chair)
Eduard Babkin, State University - HSE, Russia
Rimantas Butleris, Kaunas Technical University, Lithuania
Sven Carlsson, Lund University, Sweden
Peter Forbrig, Rostock University, Germany
Björn Johansson, Lund University, Sweden
Andrzej Kobyliñski, Warsaw School of Economics, Poland
Raimundas Matulevičius, University of Tartu, Estonia
Lina Nemuraitė, Kaunas Technical University, Lithuania
Jyrki Nummenmaa, University of Tampere, Finland
Václav Řepa, University of Economics, Prague, Czech Republic
Benkt Wangler, University of Skövde, Sweden
Stanislaw Wrycza, University of Gdansk, Poland
Václav Řepa, University of Economics, Prague. Tomáš Bruckner, University of Economics, Prague.
Eduard Babkin, State University - Higher School of Economics (Nizhny Novgorod), Russia
Per Backlund, University of Skövde, Sweden
Ilia Bider, Stockholm University/IbisSoft, Sweden
Daniel Braunnagel, Universität Regensburg, Germany
Rimantas Butleris, Kaunas University of Technology, Lithuania
Cristina Cabanillas, Vienna University of Economics and Business, Austria
Sven Carlsson, Lund University, Sweden
Raffaele Conforti, Queensland University of Technology, Australia
Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands
Marlon Dumas, University of Tartu, Estonia
Marie-Christine Fauvet, University of Grenoble, France
Peter Forbrig, University of Rostock, Germany
Bogdan Ghilic-Micu, Bucharest University of Economic Studies, Romania
Jānis Grabis, Riga Technical University, Latvia
Giancarlo Guizzardi, Federal University of Espirito Santo, Brazil
Markus Helfert, Dublin City University, Ireland
Björn Johansson, Lund University, Sweden
Anna Kalenkova, National Research University Higher School of Economics, Russia
Marite Kirikova, Riga Technical University, Latvia
John Krogstie, Norwegian University of Science and Technology, Norway
Michael Le Duc, Mälardalen University, Sweden
Barbara Livieri, University of Salento, Italy
Irina Lomazova, National Research University Higher School of Economics, Russia
Raimundas Matulevicius, University of Tartu, Estonia
Charles Møller, Aalborg University, Denmark
Jacob Nørbjerg, Aalborg University, Denmark
Grzegorz J. Nalepa, AGH University of Science and Technology, Poland
Alexander Norta, Tallinn University of Technology, Estonia
Boris Novikov, St.-Petersburg University, Russia
Michael Petit, University of Namur, Belgium
Tomáš Pitner, Masaryk University, Czech Republic
Manuel Resinas, University of Seville, Spain
Kurt Sandkuhl, University of Rostock, Germany
Flavia Santoro, UNIRIO, Brazil
Pnina Soffer, University of Haifa, Israel
Chris Stary, Johannes Kepler University of Linz, Austria
Janis Stirna, Stockholm University, Sweden
Bernhard Thalheim, Christian Albrechts University Kiel, Germany
Peter Trkman, University of Ljubljana, Slovenia
Anna Wingkvist, Linnaeus University, Sweden
Stanislaw Wrycza, University of Gdansk, Poland
Jelena Zdravkovic, Stockholm University, Sweden
Iryna Zolotaryova, Kharkiv National University of Economics, Ukraine
Paper submissions deadline: April 24, 2016
Notification of acceptance: May 30, 2016
Camera ready: June 18, 2016
Workshop papers submissions: June 2016
Workshop papers notification of acceptance: July 2016
(for details see the workshops page)
Doctoral Consortium paper submissions: July 4, 2016
Notification of doctoral papers acceptance: July 31, 2016
Doctoral papers camera ready: August 21, 2016
Important dates and program will be updated in following calendar:
Copy the ICS calendar link to your calendar and keep being informed:
Papers to be submitted by
Paper can be submited as Full paper (up to 15 pages of report on novel research results) or Research in progress paper (up to 8 pages of preliminary results of ongoing research).
Papers must be written in English and should follow Springer Instruction for LNBIP authors.
The submission must be an original work that has not been published elsewhere. Accepted papers will be published in the series Lecture Notes in Business Information Processing (LNBIP, Springer)
There will be three workshops associated with BIR2016 conference. Each workshop has specific dates for paper submission. Please see details on workshop pages.
A specific focus of this year’s ILOG edition will be on semantic technologies, like ontologies, semantic nets, semantic web standards and other knowledge technologies. Such technologies and related methods have proven to be an important of information logistics and knowledge supply solutions. Many information logistics applications wouldn’t be feasible without moving from data processing to also interpreting the meaning of this data.
Managing complexity has a long tradition for algorithms and general problems. One well known strategy used is “divide and conquer”. Managing complexity is important even for algorithms of problems with small size. However nowadays informatics require managing complexity at different levels and configurations of social, physical, enterprise, software and hardware systems The workshop is planned to focus on approaches and methods for managing complexity in the domain of applied informatics that may concern an interplay of systems and ecosystems of various sizes and substance. Its purpose is to share and transfer knowledge on complexity identification, representation, controlling and reduction as well as to exploit possible synergies in development of innovative complexity handling strategies, approaches, and methods.
The main aim of the INTEL-EDU series of workshops is to provide an international platform for the presentation of research on intelligent educational systems theory, development of advanced tools and technologies, and their transfer to innovative applications.
The BIR 2016 Doctoral Consortium provides doctoral students an opportunity to present and discuss their research on topics of BIR 2016 under the guidance of a panel of experienced researchers. We invite doctoral students share their work with fellow students and senior researchers in the field by submitting an article of 8 pages by July 4th 2016.
The Doctoral Consortium has the following objectives:
Each submitted paper will be reviewed by at least two members of the Doctoral Consortium Programme Committee (to be defined). The main evaluation criteria are: originality, significance, technical soundness and presentation.
Tomáš Pitner, Masaryk University, Czech Republic
Doctoral Consortium papers of 8 pages in English, formatted according to the Springer Instructions for LNBIP authors, should be submitted via e-mail to tomp (at) fi (dot) muni (dot) cz with subject "BIR 2016 DC Submission". Accepted Doctoral Consortium papers will be published in the CEUR proceedings, presented at the Doctoral Consortium track and as posters at the conference.
Paper submissions: July 4, 2016
Notification of acceptance: July 31, 2016
Camera ready: August 21, 2016
6 faculties, 20000 students, Ranked 62nd in Financial Times Masters in Management and 78th in European Business School Ranking.
Europe, EU, Schengen Area, Czech Republic Capital, Thousands years old.
Coming by car, make sure you know where to park. City center is very unfriendly to cars of non-residents.
We pay by CZK Czech Crowns (1 EUR = 27 CZK). Visa an MasterCard are accepted almost everywhere. Best currency conversion rate is airport McDonald's: Pay 50 EUR and get one cheeseburger and CZK change.
Public transport: Travel 90 minutes for 32 CZK or 3 days for 310 CZK
Taxi: about 40 CZK boarding + 28 CZK per kilometer. Taxi ordered by web or phone is cheaper than taken at the airport or street.
Instruction for registration will be added soon.