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_aDecision Support Systems XIII Decision Support Systems in An Uncertain World : _bThe Contribution of Digital Twins : 9th International Conference on Decision Support System Technology, ICDSST 2023, Albi, France, May 30 - June 1, 2023, Proceedings _cedited by Shaofeng Liu, Pascale Zaraté, Daouda Kamissoko, Isabelle Linden, Jason Papathanasiou |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _bSpringer Nature Switzerland _c2023 |
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| 300 | _a1 recurso en línea | ||
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_aLecture Notes in Business Information Processing _x1865-1356 _v474 |
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| 505 | 0 | _aMulti-actor VIKOR method for highway selection in Montenegro -- A tool to support the decisions for the trace clustering problem with a non-compensatory approach -- An Asset-Based Causal Loop Model to Improve Corporate Value -- Time-aware Optimisation Models for Hospital Logistics -- Prevention and Detection of Network Attacks: A Comprehensive Study -- Section 2: DSS for business performance and stakeholders -- A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement -- MAMCABM: A data-driven stakeholder-based decision-support system that considers uncertainties -- BPR Assessment Framework: Staging Business Processes for Redesign using Cluster Analysis -- A Lean Knowledge Management Processes Framework for Improving the Performance of Manufacturing Supply Chain Decisions in an Uncertain World -- Integrating Existing Knowledge to Accelerate Buildings Renovation Rates in Europe -- Equity-based allocation criteria for water deficit periods: A case study in South Africa -- Section 3: DSS applications for sustainability - health, energy and transportation -- Attracting financing for green energy projects: a city readiness index -- Building risk prediction models for diabetes decision support system -- AHP method applied to the evaluation of costs and pollution emitted by combined means of transport, case of SMMC port Toamasina -- Evaluate the potential of the Physical Internet for last mile delivery in developing countries -- Towards an integrative assessment model for port sustainability decisions: a systematic review -- Section 4: DSS users and successful adoption -- An investigation on Cloud ERP adoption using Technology-Organisation- Environment (TOE) and Diffusion of Innovation (DOI) theories: a systematic review -- Young Elderly DSS Users - Some Reasons for Successful Adoption -- Behavioral studies for the use of visualization in holistic evaluation for multicriteria decision problems decision -- A Digital Distance Learning Critical Success Factors Model for Conducting Learning Analytics Research -- Scientific Authorship in DSS Research: Past Trends and Future Opportunities. | |
| 520 | _aThis book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 - June 1, 2023. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is 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. The main theme of this year was "Decision Support Systems in An Uncertain World: The Contribution of Digital Twins". The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models, methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption. | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9163292 _aSistemas de ayuda a la decisión _vCongresos y asambleas |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-32534-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b01/2024 _dz _eb _zSI |
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