scholarly journals A public participatory GIS and multi criteria decision analysis framework for the evaluation of transport scenarios

2020 ◽  
Vol 53 (383) ◽  
pp. MISC6-MISC7
Author(s):  
Nadia Giuffrida
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Public Participation ◽  
Evaluation Framework ◽  
Decision Making Process ◽  
Final Decision ◽  
Transport Planning ◽  
Multi Criteria Decision Analysis ◽  
Planning And Design ◽  
The Impact

The decision-making process of transport projects is very complex, especially for public administrations which have to take into account often incomparable criteria of judgment. In addition, in order to achieve a good social sharing and robustness of the decision, policy makers have to include in the process not only the transport planning experts but also the stakeholders of the community. The purpose of this study is to propose an evaluation framework to support the decision making process, able to allow public participation in the assessment of transport planning and design scenarios while, at the same time, ensuring a high level of technical quality of the final decision. The designed framework includes a method to analyze monetary and non-monetary parameters, easily understandable for all decision makers. It is based on the application of Multi Criteria Decision Analysis (MCDA) techniques, an evaluation process that can take into account different quantitative and qualitative objectives and criteria; in order to favor public participation, the implementation of this technique takes advantage of Geographic Information System (GIS) for its ability to easily represent the impact of spatially based alternative project scenarios. The analysis of several case studies on transport planning and design scenarios allowed to assess the level of implementation of the three main ingredients of the framework: MCDA, GIS and public participation.

PP90 The Value Of Multi-Criteria Decision Analysis Use On Health Technology Decision Making Process

2018 ◽  
Vol 34 (S1) ◽  
pp. 100-100 ◽  
Author(s):  
Ana Etges ◽  
Bruna Zanotto ◽  
Prisciane da Rosa ◽  
Carisi Polanczyk
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Decision Analysis ◽  
New Technology ◽  
Health Technology ◽  
Strategic Decision ◽  
Decision Making Process ◽  
Multi Criteria Decision Analysis ◽  
Decision Making Processes ◽  
Hierarchy Process

Introduction:The use of multi-criteria decision analysis (MCDA) in health technology assessment (HTA) studies has become more common due to the fact that MCDA offers a comprehensive technique for decisions that involve multiple criteria and stakeholders. How MCDA contributes to the HTA decision making process is an issue to be investigated. A systematic review was carried out in order to provide an overview of the benefits identified in MCDA applications for the strategic HTA decision making process.Methods:A systematic review developed by Philip Wahlster et al. (2014) was updated. The papers were analyzed in order to determine how MCDA is connected with traditional HTA, and to identify opportunities through the application of MCDA. In total 965 papers were found, and 43 articles were included in the review. The included articles detailed MCDA applications oriented to tactical and strategic decision making processes. The review was conducted by two researchers.Results:Of the available studies published on MCDA, 76 percent were published between 2014 and 2017, and 24 percent were published prior to 2014. Regarding the MCDA methodology defined in the included studies, 10 used the analytical hierarchy process, four used multi-attribute theory, and others refer the methodology only as “MCDA”. Seventeen studies also included health technology economic analysis, in special cost-effectiveness, safety and technological innovation. The studies suggest MCDA adds value since it allows different stakeholders to be engaged in the decision making process.Conclusions:The increase in studies on MCDA and healthcare point to the possibility to add different criteria, engage people with different knowledge levels, and make the decision-making process more transparent. In comparison with other technical areas, the use of MCDA in healthcare is more focused on achieving the decision about adding the new technology, and to show how to engage stakeholders than to explain how to develop the algorithms and methodologies.

Prior Commitment and Information Recall

1997 ◽  
Vol 85 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Richard G. Brody ◽  
Laura L. Bowman
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Decision Making Process ◽  
Final Decision ◽  
Escalation Of Commitment ◽  
Information Recall ◽  
Sequential Task ◽  
Initial Decision ◽  
Course Of Action ◽  
By Products

Responsibility is related to escalation of commitment, a phenomenon in which individuals continue to invest in a failing course of action despite evidence that suggests that continued investment is unwise. Prior research indicates that individuals making multiple decisions as part of a sequential task are likely to engage in escalation behavior (Brockner, 1992). Investigators of escalation have not examined cognitive by-products of the decision-making process. In this study, the number of decisions, e.g., one or two, was used to manipulate the amount of responsibility. It was predicted that subjects making multiple decisions would remember more information supporting their initial decision than those who made only a single final decision. Analysis indicated that proportion recalled was the same for both groups. It appears that memory for the information used in the decision-making process is not related to amount of responsibility.

scholarly journals An Innovative Grey Approach for Group Multi-Criteria Decision Analysis Based on the Median of Ratings by Using Python

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 124
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Florentin Smarandache ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Likert Scale ◽  
Decision Makers ◽  
Interval Numbers ◽  
Multi Criteria Decision Analysis

Some decision-making problems, i.e., multi-criteria decision analysis (MCDA) problems, require taking into account the attitudes of a large number of decision-makers and/or respondents. Therefore, an approach to the transformation of crisp ratings, collected from respondents, in grey interval numbers form based on the median of collected scores, i.e., ratings, is considered in this article. In this way, the simplicity of collecting respondents’ attitudes using crisp values, i.e., by applying some form of Likert scale, is combined with the advantages that can be achieved by using grey interval numbers. In this way, a grey extension of MCDA methods is obtained. The application of the proposed approach was considered in the example of evaluating the websites of tourism organizations by using several MCDA methods. Additionally, an analysis of the application of the proposed approach in the case of a large number of respondents, done in Python, is presented. The advantages of the proposed method, as well as its possible limitations, are summarized.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

DRUG EVALUATION AND DECISION MAKING IN CATALONIA: DEVELOPMENT AND VALIDATION OF A METHODOLOGICAL FRAMEWORK BASED ON MULTI-CRITERIA DECISION ANALYSIS (MCDA) FOR ORPHAN DRUGS

2017 ◽  
Vol 33 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Antoni Gilabert-Perramon ◽  
Josep Torrent-Farnell ◽  
Arancha Catalan ◽  
Alba Prat ◽  
Manel Fontanet ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Unmet Needs ◽  
Drug Evaluation ◽  
Evaluation Criteria ◽  
Orphan Drugs ◽  
Methodological Framework ◽  
Multi Criteria Decision Analysis ◽  
Development And Validation ◽  
Weighting Technique

Objectives:The aim of this study was to adapt and assess the value of a Multi-Criteria Decision Analysis (MCDA) framework (EVIDEM) for the evaluation of Orphan drugs in Catalonia (Catalan Health Service).Methods:The standard evaluation and decision-making procedures of CatSalut were compared with the EVIDEM methodology and contents. The EVIDEM framework was adapted to the Catalan context, focusing on the evaluation of Orphan drugs (PASFTAC program), during a Workshop with sixteen PASFTAC members. The criteria weighting was done using two different techniques (nonhierarchical and hierarchical). Reliability was assessed by re-test.Results:The EVIDEM framework and methodology was found useful and feasible for Orphan drugs evaluation and decision making in Catalonia. All the criteria considered for the development of the CatSalut Technical Reports and decision making were considered in the framework. Nevertheless, the framework could improve the reporting of some of these criteria (i.e., “unmet needs” or “nonmedical costs”). Some Contextual criteria were removed (i.e., “Mandate and scope of healthcare system”, “Environmental impact”) or adapted (“population priorities and access”) for CatSalut purposes. Independently of the weighting technique considered, the most important evaluation criteria identified for orphan drugs were: “disease severity”, “unmet needs” and “comparative effectiveness”, while the “size of the population” had the lowest relevance for decision making. Test–retest analysis showed weight consistency among techniques, supporting reliability overtime.Conclusions:MCDA (EVIDEM framework) could be a useful tool to complement the current evaluation methods of CatSalut, contributing to standardization and pragmatism, providing a method to tackle ethical dilemmas and facilitating discussions related to decision making.

Method for Selecting Storage Enterprises Based on IFHA

2015 ◽  
Vol 713-715 ◽  
pp. 1769-1772
Author(s):  
Jie Wu ◽  
Lei Na Zheng ◽  
Tie Jun Pan
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Makers ◽  
Decision Problems ◽  
Decision Making Process ◽  
Final Decision ◽  
Multiple Decision Makers ◽  
Intuitionistic Fuzzy ◽  
Averaging Operator

In order to reflect the decision-making more scientific and democratic, modern decision problems often require the participation of multiple decision makers. In group decision making process,require the use of intuitionistic fuzzy hybrid averaging operator (IFHA) to get the final decision result.

Is Hindsight Really 20/20?: The Impact of Outcome Information on the Decision-Making Process

2018 ◽  
Vol 17 (3) ◽  
pp. 285-296 ◽  
Author(s):  
Amanda Beltrani ◽  
Amanda L. Reed ◽  
Patricia A. Zapf ◽  
Randy K. Otto
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Outcome Information ◽  
The Impact
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