organized by Austrian Computer Society Austrian Computer Society

Call for Papers

15th IEEE Conference on Business Informatics

Call for Papers

The goal of CBI 2013 is to bring together existing Business Informatics related research domains. The domains in CBI are based on existing clusters of research activities that focus on important aspect of informatics in the context of organizations, ecosystems and society at large. There will be some overlap across these domains because the same topic may be addressed from more than one perspective in its corresponding domain. In fact, this is another fundamental reason for CBI to bring together this diverse family of individual domains and link them under the overarching theme of Business Informatics.

Accordingly, CBI seeks for methodological approaches to describe, explain, predict, and design information and communication models, architectures, and systems in the following research areas:

Business Process Engineering

Domain coordinators: Jorge Sanz, Jan Mendling
PC members

Business Informatics deals with information processes in organizations, industries and society at large. This concept of “information in motion” links to business processes deeply. Processes are the expression of the behavior of organizations and this behavior leaves footprints in the form of artifacts of all sorts, including information. Thus, Business Informatics profoundly intersects with the social enterprise from a unique perspective, namely, the integration of information and people’s behavior.

Specific (not limitative) topics:

· Business Process Architecture and Process Taxonomies

· Information-centric Business Process Models

· The liaison between Organizational Routines and Processes

· Process as Enacting Organizational Capabilities

· Transformation and Business Process Centers of Excellence: Case Studies

· Management and Governance for Business Process Engineering

· Business Process Analytics and Decision-Making

· Tooling for Business Process Engineering

Enterprise Modeling

Domain coordinator: Ulrich Frank
PC members

Enterprise modeling is concerned with the modeling of different aspects of an enterprise (goals, capabilities, organizational structures, business processes, resources, information, people, constraints, etc.) and their interrelationships. Accordingly, enterprise modeling offers different perspectives of an enterprise suitable for strategic planning, organizational design and software engineering. It covers the notation and semantics of enterprise modeling languages, the processes involved in creating and managing models, tool support, as well as quality of modeling.

Specific (not limitative) topics:

· enterprise modeling methods, languages, and tools

· enterprise model management and reuse

· the process of modeling and guidelines for modeling

· collaborative enterprise modeling

· competencies of modelers and modeling teams

Enterprise Architecture

Domain coordinator: Erik Proper
PC members

In contrast to partial architectures such as IT architecture or software architecture, enterprise architecture focuses on the overall enterprise. Enterprise architecture explicitly incorporates business-related concepts and artifacts in addition to traditional IS/IT artifacts. By embracing an enterprise-wide perspective enterprise architecture provides a means for organizations to coordinate their adaptations to increasingly fast changing market conditions which impact the entire enterprise, from business processes to IT support.

Specific (not limitative) topics:

· EA as a means for strategy elaboration and execution

· EA modeling languages, tools, viewpoints and frameworks

· EA management and governance

· EA reference models and simplified / agile methods

· EA Case studies

Enterprise Engineering

Domain coordinator: José Tribolet
PC members

The enterprise engineering domain aims to apply an engineering based approach to the design of enterprises and their transformation. As such, this domain is concerned with the development of new, appropriate theories, models, methods and other artifacts for the analysis, design, implementation, and governance of enterprises by combining (relevant parts of) management and organization science, information systems science, and computer science.

Specific (not limitative) topics:

· Enterprise Ontology

· Enterprise Implementation Design

· Business Rules Management

· Modeling (cross-enterprise) business processes

· Reference models

Enterprise & Business Transformation

Domain coordinators: Frank Harmsen, Wolfgang Molnar
PC members

Modern day enterprises are in a constant state of flux. New technologies, new markets, globalization, mergers, acquisitions, cost reduction and operational performance improvements are among the “usual suspects” that require enterprises to transform themselves. These transformations involve both the development of new business models, as well as transformations of the enterprise as a whole.

Specific (not limitative) topics:

· Methodologies and approaches for enterprise & business transformation

· Modeling languages and analysis techniques needed for enterprise & business transformation

· Methodologies and approaches to set up/mature an organization’s transformation capability

· Competencies needed to conduct/drive enterprise & business transformations

· Case studies in enterprise & business transformation

· Industry-specific trends in the evolution of business organizations

Business (Model) & Service Innovation

Domain coordinator: Eng Chew
PC members

We live in a service dominant economy. Being successful in business no longer depends on having the “best” product, but increasingly depends on delivering high quality services, through attractive customer-centric business models, at affordable costs. This forces enterprises to continuously develop/innovate their services and renew/innovate their business models. The world’s evolution toward services-based clusters also brings new trends that blur the traditional boundaries across conventional industries, thus generating new opportunities for economies of scale and scope. This has led to increasing interests by disparate industries around the globe in the “art and science” of the practices of service innovation. A new concept, called service-dominant logic, has recently been introduced in the business discipline to study service phenomena – one that has significant cross-disciplinary implications for the research and design of IT-enabled service innovations and the attendant service systems.

Specific (not limitative) topics:

· Concepts and methods in understanding and anticipating customer needs, involving customers in business and service innovation processes, earning models, resources (knowledge and capabilities), stakeholders, service recovery approaches, testing and prototyping services, integration with existing service portfolios, service interaction, etc..

· Software and technology in business and service innovation

· Influences of the so-called “perfect storm” (the convergence of mobile, social media, clouds and big data) on service innovation and vice versa

· Interdependencies between business model and service innovation, from ideation and design to commercialization

· Managing the service innovation process, innovative culture and leadership, enhancement of creativity

· Open service innovation and sourcing strategies

· Case studies of innovation in different service industries: industrial service, creative industries, travel and leisure, public service, IT-services, banking, telecom, and health-care services, etc.

· Education in business and service innovation and design

Empowering & Enabling Technologies

Domain coordinators: Stéphane Marchand-Maillet, Ying Chen
PC members

Enabling technologies in Business Informatics integrate management practices with Informatics and Information Technologies. Business Informatics tasks may be performed, supported or monitored by automated or semi-automated technologies. Running environments range from thin mobile clients to large-scale distributed platforms, and newer areas such as analytics services, big data. Accordingly, we seek papers for original and innovative empowering and enabling technologies in domains related to Business Informatics.

Specific (not limitative) topics:

· Business (Big) Data and Knowledge Integration, Management and Mining

· Information Retrieval and Information Filtering

· Service-oriented Computing

· Recommender Systems

· Tools for ensuring and monitoring Security, Privacy, Trust and Risk in Business Informatics tasks

· Support of users and communities in Business environments, specialized Human Computer Interaction

· Technology support for Electronic Business and Electronic Commerce

Social & Frontier Technologies

Domain coordinator: Takayuki Ito
PC members

New technologies such as M2M and social networks present a new frontier for business. This presents a reverse paradigm from the traditional model of using IT support for existing business to building business for the new technology. BI needs a new perspective on how to identify business opportunity, business model, business support around some new technologies, e.g. data broker for smart meters, context-driven business, etc. for next generation cloud-based companies like Facebook, Twitter, etc.

Specific (not limitative) topics:

· Social networks

· Social computing

· Mobile computing

· Machine-to-Machine communications (M2M)

· Smarter planet

Data-Driven Service and Market Engineering

Domain coordinators: Thomas Setzer, Christof Weinhardt
PC members

Economic problems faced by today’s organizations as well as society as a whole demand interdisciplinary knowledge from economics, management and informatics. Thus, economic modeling of IT-based solutions for analytically and statistically formulated economic problems is subject to this track. In particular, we are interested in the intelligent reduction of problem-relevant features from vast datasets Including customer dynamics, market behavior, resource usage, etc. Accordingly, we aim for research at the interface of economic theories, game theory, advanced analytics, prediction, and computational methods to solve managerial decisions and planning problems.

Specific (not limitative) topics:

· e-Market place design

· Negotiations and contracting

· Tariffs, pricing, and profits

· Dynamic resource allocation

· Behavioral pattern

· Technology adoption and diffusion

· Productivity and business value of IT and data

· Data Science and advanced analytics

· Prediction and Causal Forecasting

· Smart measurements and collaborative monitoring