Advances in technology over the last several years have resulted in new and advanced methods to support decision-making. Decision Support Systems (DSS) are at the fore-front of information systems that incorporate various technologies and enable interaction with one or more users to help make complex decisions. For example, artificial intelligence has enabled people to make better decisions through the use of intelligent DSS. Other emerging areas in DSS research show that decision makers can operate in a more timely manner using real-time data, more accurately due to data mining and ‘big data’ methods, more strategically by considering a greater number of factors, more precisely and inclusively due to the availability of social networking data, and with a wider media reach with video and audio technology.

Since 1982, the IFIP TC8/Working Group 8.3 conferences have aimed to present the latest innovations and achievements of academic communities in Decision Support Systems. These advances include theory, systems, computer aided methods, algorithms, techniques, applications and technologies supporting decision making. A unique characteristic of WG8.3 conferences is a theme to reflect the academic interests and major trends in decision support systems at the time. In 2002 in Cork, Ireland, participants envisioned the future of the Internet. In Prato, Italy, in 2004, the “spirit of the humanist scholars of the Renaissance” was chosen as inspiration for decision making in uncertain times. Creativity and innovation were the focus in 2006 in London, UK, and in 2008 in Toulouse, France, participants looked to collaborative decision making support. The challenge of the socio-technical gap was the focus in 2010 in Lisbon, Portugal, and participants investigated fusing decision support into the fabric of people's lives in 2012 in Anávissos, Greece. This year, 2014, the conference looks to the next generation with a theme of new technologies to enable DSS 2.0. Also, this year, the conference itself tried a new approach by holding its meeting in conjunction with the Special Interest Group on Decision Support and Analytics (SIGDSA, formerly known as SIGDSS) organized since 2001 under the auspices of the Association for Information Systems (AIS). SIGDSA is a forum “to facilitate the exchange, development, communication, and dissemination of information about Decision Support, Analytics, Collaboration and Knowledge Management research and teaching issues in business, management, and organizational contexts among AIS members and in the larger community of IS/IT practitioners and scholars.” The common interests of these two groups served as fertile ground for new ideas and collaboration.

This volume of proceedings includes research topics in theoretical, empirical, design science research, and case-based approaches in: decision support systems, decision models in the real-world, healthcare information technology, decision making theory, knowledge management, knowledge and resource discovery, business intelligence, group decision support systems, collaborative decision making, analytics and ‘big data’, rich language for decision support, multimedia tools for DSS, Web 2.0 systems in decision support, context-based technologies for decision making, intelligent systems and technologies in decision support, organizational decision support, research methods in DSS 2.0, mobile DSS, competing on analytics, and social media analytics.

As editors, we express our gratitude to the authors for presenting their leading-edge research, the steering committees for their expert guidance, and the program committee and reviewers for their exceptional service in reviewing and ensuring the quality of papers in this volume. In particular, we would like to thank our hosts at the Université Pierre et Marie Curie of Paris, France, for the outstanding local arrangements for our international conference.

Gloria Phillips-Wren

Sellinger School of Business and Management, Loyola University Maryland, USA

Sven Carlsson

Lund University School of Economics and Management, Sweden

Ana Respício

Faculdade de Ciências, Universidade de Lisboa, Portugal

Patrick Brézillon

Master Innovation Management, Université Pierre et Marie Curie, Paris, France