Ferhat Şeker · CABI eBooks · 2026
Simulation modeling is a crucial tool in tourism and hospitality research that allows for the replication of real-world systems and processes in a cost-effective manner. By developing computerized models, researchers can explore various scenarios, test hypotheses, and make predictions without the need for expensive experiments. While simulation modeling excels in capturing system dynamics and managing complexity, researchers must be mindful of data requirements and potential biases. Future research directions in simulation modeling for tourism and hospitality include enhancing predictive relevance, investigating automation and artificial intelligence (AI) applications, utilizing the Metaverse, integrating robotics and AI-generated content in marketing strategies, examining cultural influences on tourist interactions with robots, exploring electroencephalography (EEG) in research, implementing generative AI, studying R-tourism, and leveraging smart tourism and mobile technologies. These advancements hold promise for improving customer experiences, service delivery, and sustainability within the tourism sector.
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Edward Elgar Publishing eBooks · 2023
This comprehensive Dictionary brings together an extensive range of definitive terms in ecological economics. Assembling contributions from distinguished scholars, it provides an intellectual map to this evolving subject ranging from the practical to the philosophical.
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Simonetta Balsamo, Moreno Marzolla · 2003
Software performance based on performance models can be applied at early phases of the software development cycle to characterize the quantitative behavior of software systems. We propose an approach based on queueing networks models for performance prediction of software systems at the software architecture level, specified by UML. Starting from annotated UML Use Case, Activity and Deployment diagrams we derive a performance models based on multichain and multiclass Queueing Networks (QN). The UML model is annotated according to the UML Profile for Schedulability, Performance and Time Specification. The proposed algorithm translates the annotated UML specification into QN performance models, which can then be analyzed using standard solution techniques. Performance results are reported back at the software architecture level in the UML diagrams. As our approach can be fully automated and uses standard UML annotations, it can be integrated with other performance modeling approaches. Specifically, we discuss how this QN-based approach can be integrated with an existing simulation-based performance modeling tool.
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Deborah Sater Carstens, Gary L. Richardson · 2019
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Daniel Crespo, Mercedes Ruiz · 2014
Estimates of task duration or the amount of resources needed in software projects are often very inaccurate. To avoid this problem, project management must be effective and dynamic, that is, being proactive rather than reactive. Among the tasks needed in this approach, reassigning resources, hiring new personnel or adapting estimates to new situations can be found. In this paper we propose to apply multiparadigm simulation modeling in the scope of two process areas of one of the most used software process maturity frameworks such as CMMI, with the aim of supporting decision making and determining the optimal values of cost and schedule according to the management needs. The paper describes the model built and a case study with the simulation outputs. 1
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Professor Reda Alhajj, Professor Jon Rokne · 2014
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Sara S. Metcalf, Sara Peterson · Geographic Information Science & Technology Body of Knowledge · 2018
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Arun Rodrigues · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2016
Abstract not provided.
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2012
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2006
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Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School) · 2002
M-I-P-C
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Argonne National Laboratory. · The Journal of the Abraham Lincoln Association
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Jiaqi Lv (12333821), Xiang Wang (127867), Yaoyao Chen (3835426) · Figshare · 2025
<div><p>Opportunistic behaviour has become a research hotspot in hydraulic infrastructure project management owing to its serious damage to the cooperation efficiency of all participants in a project. The trust networks formed by each participant can restrain opportunistic behaviour, but due to the dynamic evolution of the networks, its research should adopt a dynamic paradigm. The structure and evolution of trust networks can be simulated using computer simulations and modelling. This study explores the influence mechanism of the structural characteristics of trust networks on the diffusion of opportunistic behaviour. The results show that trust network density has a positive effect on inhibiting the implementation tendency of opportunistic behaviour. However, the centralisation of trust networks has a negative correlation with the degree of inhibition of opportunistic behaviour.</p></div>
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Vogt, William G., Pittsburgh Conference on Modeling and Simulation 1979 Pittsburgh, Pa. · 1991
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Sumati Kumari Panda, V. Vijayakumar, Ravi P. Agarwal · Synthesis lectures on mathematics and statistics · 2025
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Takashi Taniguchi · Seikei-Kakou · 2022
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José L. Encarnação, Georgios Sakas, Heinz‐Otto Peitgen et al. · Beiträge zur graphischen Datenverarbeitung · 1992
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2008
This chapter contains sections titled: Introduction The Runge–Kutta Method Kinetics of Cell Growth Simulation of a Batch Ethanol Fermentation Ethanol Case Study Luedeking–Piret Model Continuous Stirred-Tank Bioreactor Batch Fermentor versus Chemostat References Homework Problems
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Carolyn M. Rutter · Health services research · 2017
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Alexander V. Neimark, Engin Durgun, Taner Yildirim et al. · 2007
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