Academic literature on the topic 'Web-Based Decision Support'

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Journal articles on the topic "Web-Based Decision Support"

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O'Keefe, Robert M., and Tim McEachern. "Web-based customer decision support systems." Communications of the ACM 41, no. 3 (1998): 71–78. http://dx.doi.org/10.1145/272287.272300.

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Bhargava, Hemant K., Daniel J. Power, and Daewon Sun. "Special issue of Decision Support Systems on web-based decision support." Decision Support Systems 43, no. 4 (2007): 1081–82. http://dx.doi.org/10.1016/j.dss.2005.07.006.

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Peng, Guang Yu. "Marketing Decision and Decision Support System Design Based on Web." Advanced Materials Research 850-851 (December 2013): 1048–51. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1048.

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This paper analyzes the DSS characteristics about the marketing under the internet as well as the influencing factors of the market decisions, Studying the decision-making functions of marketing decision support system DSS. It proposed the marketing DSS design, logical structure and its implementation based on a data warehouse as the center, online analysis processing and data mining as a means.
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Bobosatu, Florin, Luminita Duta, and Florin-Gheorghe Filip. "An Experimental Web - Based Decision Support System." IFAC Proceedings Volumes 43, no. 8 (2010): 43–46. http://dx.doi.org/10.3182/20100712-3-fr-2020.00007.

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Stânescu, Ioana A., and Antoniu stefan. "Web-Based Knowledge-Driven Decision Support Systems." IFAC Proceedings Volumes 43, no. 8 (2010): 47–52. http://dx.doi.org/10.3182/20100712-3-fr-2020.00008.

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Karacapilidis, Nikos, and Manolis Tzagarakis. "Web-Based Collaboration and Decision Making Support." International Journal of Web-Based Learning and Teaching Technologies 2, no. 4 (2007): 12–23. http://dx.doi.org/10.4018/jwltt.2007100102.

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Bhargava, Hemant K., Daniel J. Power, and Daewon Sun. "Progress in Web-based decision support technologies." Decision Support Systems 43, no. 4 (2007): 1083–95. http://dx.doi.org/10.1016/j.dss.2005.07.002.

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Chang, Chi-Chang, Chuen-Sheng Cheng, and Yeu-Shiang Huang. "A Web-Based Decision Support System for Chronic Diseases." JUCS - Journal of Universal Computer Science 12, no. (1) (2006): 115–25. https://doi.org/10.3217/jucs-012-01-0115.

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Individuals vary in survival chances due to differences in genetics, environmental exposures, and gene-environment interactions. These chances, as well as the contribution of each factor to mortality, change as individuals get older. In general, human physiological systems are constructed by collecting more than one part to perform either single or multiple functions. In addition, the successive times between failures are not necessarily identically distributed. More generally, they can become smaller (an indication of deterioration). However, if any critical deterioration is detected, then th
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Kwon, O. Byung. "Meta web service: building web-based open decision support system based on web services." Expert Systems with Applications 24, no. 4 (2003): 375–89. http://dx.doi.org/10.1016/s0957-4174(02)00187-2.

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Ahmad, Fadhilah, A. Noraziah, Suhailan Safei, Azrul Amri Bharun Abi, N. Ahmed Abdalla, and Aznida Hayati Zakaria Mo. "Developmental Issues of Web-based Decision Support System." Journal of Applied Sciences 12, no. 19 (2012): 2059–64. http://dx.doi.org/10.3923/jas.2012.2059.2064.

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Dissertations / Theses on the topic "Web-Based Decision Support"

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Jeswani, Sapna D. "ADSS a web-based agroforestry decision support system /." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000709.

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Tschudnowsky, Alexey. "End-User Development of Web-based Decision Support Systems." Universitätsverlag Chemnitz, 2016. https://monarch.qucosa.de/id/qucosa%3A20647.

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Recent innovations in the information technology and computing devices magnified the volume of available information. Today’s decision makers face the challenge of analyzing ever more data in shorter timeframes. Demand for technology that can efficiently assist systematic data analysis is constantly growing. Development of dedicated information systems is, however, difficult both from organizational and technological point of view. First, traditional software production is a complex and time-consuming process that can not be performed under time-pressure. Second, changing business conditions a
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Spencer, Malik. "CHRISTINE: A Flexible Web-Based Clinical Decision Support System." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282052336.

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Ouyang, Weichen. "A Web-Based Decision Support System For Wildfire Management." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406901679.

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Tschudnowsky, Alexey. "End-User Development of Web-based Decision Support Systems." Doctoral thesis, Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-219823.

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Recent innovations in the information technology and computing devices magnified the volume of available information. Today’s decision makers face the challenge of analyzing ever more data in shorter timeframes. Demand for technology that can efficiently assist systematic data analysis is constantly growing. Development of dedicated information systems is, however, difficult both from organizational and technological point of view. First, traditional software production is a complex and time-consuming process that can not be performed under time-pressure. Second, changing business conditions a
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Wei, Peng. "Web and knowledge-based decision support system for measurement uncertainty evaluation." Thesis, Brunel University, 2009. http://bura.brunel.ac.uk/handle/2438/10114.

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In metrology, measurement uncertainty is understood as a range in which the true value of the measurement is likely to fall in. The recent years have seen a rapid development in evaluation of measurement uncertainty. ISO Guide to the Expression of Uncertainty in Measurement (GUM 1995) is the primary guiding document for measurement uncertainty. More recently, the Supplement 1 to the "Guide to the expression of uncertainty in measurement" – Propagation of distributions using a Monte Carlo method (GUM SP1) was published in November 2008. A number of software tools for measurement uncertainty hav
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Ozer, Ibrahim. "Multi-criteria group decision making methods using AHP and integrated Web-based decision support systems." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27545.

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This thesis explores different group decision making methods using the Analytical Hierarchical Process (AHP) applied to the multi-criteria decision making problem of selecting a preferred "site" and develops a support system for group decision making. The group members consider sites to have alternative and often conflicting uses. It is imperative for decision makers in the responsible group to have an appropriate combination of tools, computer software and decisions support systems in order to make the most preferred decisions as a group despite potential inherent conflict among members of th
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Mohsin, Farrukh. "A web based decision support system for status assessment in advanced parkinson." Thesis, Högskolan Dalarna, Datateknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:du-2483.

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The purpose of this work is to develop a web based decision support system, based onfuzzy logic, to assess the motor state of Parkinson patients on their performance in onscreenmotor tests in a test battery on a hand computer. A set of well defined rules, basedon an expert’s knowledge, were made to diagnose the current state of the patient. At theend of a period, an overall score is calculated which represents the overall state of thepatient during the period. Acceptability of the rules is based on the absolute differencebetween patient’s own assessment of his condition and the diagnosed state
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Ngai, Ka-kui. "Web-based intelligent decision support system for optimization of polishing process planning." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39558472.

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Tettelbach, Clayton G. "Recycling Decision Support System : design and development of a Web-based DSS." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8893.

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Approved for public release; distribution is unlimited<br>The explosive growth of the World Wide Web creates new opportunities for the development and deployment of Decision Support Systems. No longer restricted by machine-specific limitations, Web-based Decision Support Systems (DSS) provide global access to widely diversified and geographically dispersed users through sharing of data, models, algorithms, and modeling environments. This thesis examines the design and development processes involved in the creation of a Web-based DSS. The Recycling Decision Support System utilizes a rapid proto
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Books on the topic "Web-Based Decision Support"

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Yao, JingTao. Web-based support systems. Springer, 2010.

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Tettelbach, Clayton G. Recycling Decision Support System: Design and development of a Web-based DSS. Naval Postgraduate School, 1997.

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Klein, Donald E. Analysis, design, and implementation of a web-based training system for multi-criteria decision support, integrating hypertext, multimedia-based case studies and training software. Naval Postgraduate School, 1997.

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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (9th : 1997 : Baden-Baden, Germany), eds. Advances in support systems research: Decision support systems and intelligent information systems ; human-computer partnership in decision-support systems, decision technology management, cost-effective decision making, information resources and knowledge-based tools for DSS, intelligent management information systems, geographic information system, network information system, World Wide Web. International Institute for Advanced Studies in Systems Research and Cybernetics, 1998.

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Yao, JingTao. Web-based Support Systems. Springer, 2012.

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Yao, JingTao. Web-based Support Systems. Springer, 2010.

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Recycling Decision Support System: Design and Development of a Web-Based DSS. Storming Media, 1997.

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Sreedhar, G. Web Data Mining and the Development of Knowledge-Based Decision Support Systems. IGI Global, 2017.

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Zhu, Xuan. Web-Based Virtual Environments for Decision Support in Water Based Systems: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2014.

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Janjua, Naeem Khalid. Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications. Springer London, Limited, 2014.

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Book chapters on the topic "Web-Based Decision Support"

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Zahedi, Fatemeh “Mariam”, Jaeki Song, and Suprasith Jarupathirun. "Web-Based Decision Support." In Handbook on Decision Support Systems 1. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48713-5_16.

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Ostländer, Nicole, and Lars Bernard. "Web-Based Assessment and Decision Support Technology." In Geo-information for Disaster Management. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27468-5_54.

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Nealon, Michael J., and Mark E. Johnston. "Outsourcing Decision Support: A Web-Based Approach." In Applied Optimization. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4613-0233-9_14.

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Xie, Lin. "Web-Based Decision Support System for Crew Rostering." In Decision Support for Crew Rostering in Public Transit. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-08167-6_8.

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Janjua, Naeem Khalid. "Argumentation-Enabled Web-Based Intelligent Decision Support System (Web@IDSS)." In Springer Theses. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03949-7_5.

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Papathanasiou, Jason, Nikolaos Ploskas, and Nikolaos Samaras. "A Web-Based Decision Support System for the Multiple Capacitated Facility Location Problem." In Decision Support Systems III - Impact of Decision Support Systems for Global Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_4.

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Nouh, Mariam, Ahmad Alabdulkareem, Waleed Gowharji, Anas Alfaris, and Abel Sanchez. "A Web-Based Decision Support Platform for Multidimensional Modeling of Complex Engineering Systems." In Decision Support Systems III - Impact of Decision Support Systems for Global Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_5.

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Arrais-Castro, António, Maria Leonilde R. Varela, and Sílvio Carmo-Silva. "Web-Based Decision Support System for Orders Planning." In Intelligent Systems, Control and Automation: Science and Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4722-7_16.

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Hemanth Kumar, H. "Web-Based Geospatial Technologies to Support Decision-Making." In Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2330-0_5.

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Carvalho, J. B., M. L. R. Varela, G. D. Putnik, J. E. Hernández, and R. A. Ribeiro. "A Web-Based Decision Support System for Supply Chain Operations Management Towards an Integrated Framework." In Decision Support Systems III - Impact of Decision Support Systems for Global Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_10.

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Conference papers on the topic "Web-Based Decision Support"

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Stoian, Daniela, Evangelos Spiliotis, Efstathios Stamatopoulos, Elissaios Sarmas, and Evangelos Marinakis. "A Web-Based Decision Support Tool for Efficiently Monitoring and Upgrading HVAC Systems." In 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, 2024. https://doi.org/10.1109/iisa62523.2024.10786662.

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Kurniawan, Adrian Richardy, and Irmawati. "Vision Transformer-Based Diabetic Retinopathy Detection with Web Deployment for Clinical Decision Support." In 2025 International Conference on Smart Computing, IoT and Machine Learning (SIML). IEEE, 2025. https://doi.org/10.1109/siml65326.2025.11080914.

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Dimitrova, Zornitsa, Daniela Borissova, and Vasil Dimitrov. "Web Application based on Serverless Architecture to Support Group Decision-Making by Scoring Models." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811190.

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Sutinen, Martti, Mats Danielson, Love Ekenberg, and Aron Larsson. "Web-based analytical decision support system." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687202.

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Mao, Xi, and Qi Li. "Ontology-based web spatial decision support system." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5980936.

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Liu, Shuo, Xiang-tao Fan, Jun-jie Zhu, and Xiao-ping Du. "Study on Web-based Spatial Decision Support System." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567546.

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Pahng, Gun-Dong F., Seockhoon Bae, and David Wallace. "Web-Based Collaborative Design Modeling and Decision Support." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/eim-5681.

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Abstract This paper presents an integrated but open product development environment for distributed and collaborative design. The web-based framework, called DOME, allows designers to build integrated models using both local and distributed resources and to collaborate by exchanging services. Thus, an integrated model can be created while each participant focuses on their own area of expertise. A design model is created by connecting modules, each of which can represent specific components, analysis capabilities/software, disciplines, or organizations relevant to the problem. The modules inter
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Weng, Weibing, Guangjun Yang, Yun Zhang, and Jian Wu. "Web-based decision support system for plant location." In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019710.

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Liu, Xingguo. "Research on Web-Based Marketing Decision Support System." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2745.

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Ya-jun, Wang, Yu Zhao-cheng, He Song-bai, Cheng Jie-li, and Zhang Zhi-jun. "A Data-Mining-Based Study on Road Traffic Information Analysis and Decision Support." In 2009 Second Pacific-Asia Conference on Web Mining and Web-based Application (WMWA). IEEE, 2009. http://dx.doi.org/10.1109/wmwa.2009.58.

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Reports on the topic "Web-Based Decision Support"

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Rusk, Todd, Ryan Siegel, Linda Larsen, Tim Lindsey, and Brian Deal. Technical and Financial Feasibility Study for Installation of Solar Panels at IDOT-owned Facilities. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-024.

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The Smart Energy Design Assistance Center assessed the administrative, technical, and economic aspects of feasibility related to the procurement and installation of photovoltaic solar systems on IDOT-owned buildings and lands. To address administrative feasibility, we explored three main ways in which IDOT could procure solar projects: power purchase agreement (PPA), direct purchase, and land lease development. Of the three methods, PPA and direct purchase are most applicable for IDOT. While solar development is not free of obstacles for IDOT, it is administratively feasible, and regulatory hu
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Sharma, Bhavna, Bryan Swanton, Joseph Kuo, et al. Use of Life Cycle Assessment in the Healthcare Industry: Environmental Impacts and Emissions Associated With Products, Processes, and Waste. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepctb48.

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Objectives. The objective of this Technical Brief is to assess the current use of life cycle assessment (LCA) frameworks in healthcare research and practice, understand the components of those frameworks, review LCA studies that have been conducted, and assess gaps in research and practice to guide future directions. Review methods. A scoping review combined with Key Informant interviews provided the input for the report. We searched a combination of biomedical (PubMed®); environmental (Agricultural &amp; Environmental Science Collection, Environmental Science Database, Environment Index); and
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Hilbrecht, Margo, David Baxter, Alexander V. Graham, and Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, 2020. http://dx.doi.org/10.33684/2020.006.

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In 2019, the Gambling Commission announced a National Strategy to Reduce Gambling Harms. Underlying the strategy is the Framework of Harms, outlined in Measuring gambling-related harms: A framework for action. "The Framework" adopts a public health approach to address gambling-related harm in Great Britain across multiple levels of measurement. It comprises three primary factors and nine related subfactors. To advance the National Strategy, all componentsneed to be supported by a strong evidence base. This report examines existing research expertise relevant to the Framework amongacademics bas
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