TY - GEN digital ID - 131673250 TI - Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support : 4th International Conference, ICDSST 2018, Heraklion, Greece, May 22–25, 2018, Proceedings AU - Dargam, Fatima AU - Delias, Pavlos AU - Linden, Isabelle AU - Mareschal, Bertrand PY - 2018 SN - 9783319903156 PB - Cham Springer International Publishing DB - UniCat KW - Operational research. Game theory KW - Mathematical statistics KW - Office management KW - Planning (firm) KW - Production management KW - Programming KW - Information systems KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - MIS (management informatie systeem) KW - bedrijfseconomie KW - datamining KW - informatica KW - management KW - mathematische modellen KW - bedrijfsadministratie KW - evidence-based methodiek KW - informatiesystemen KW - productie KW - speltheorie KW - duurzame ontwikkeling KW - econometrie KW - operationeel onderzoek KW - informatica management KW - data acquisition UR - https://www.unicat.be/uniCat?func=search&query=sysid:131673250 AB - This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems’ technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. ER -