Selection of the Best Inland Waterway Structure: A Multicriteria Decision Analysis Approach

PurposeThe purpose of this study is to evaluate the effectiveness of the new service development (NSD) process in tourism. For this reason, factors influencing the process of service innovation in the hospitality sector were explored and correlated with business performance in the hospitality industry through a multicriteria decision analysis approach.Design/methodology/approachAn original multicriteria decision analysis approach is applied in order to estimate the efficiency of the NSD process. The approach follows the principles of ordinal regression analysis, using goal programming techniques. Collected data are based on in-depth structured and questionnaire-based interviews of 77 hotel managers in 147 new services in a representative sample of 99 hotels in Greece. Several financial ratios, covering different aspects of business performance, are used in order to evaluate the NSD process for three years after the services innovation had been launched.FindingsThese findings reveal the importance of financial liquidity and business efficiency for the hotel industry (i.e. the ability of a firm to use available resources in order to achieve specific sales goals). The aforementioned variables can determine how quickly and effectively assets are converted to cash. In general, the findings show the emphasis that should be given to customer needs, as well as to the effective management of a NSD project.Originality/valueFindings of this study may support hotel managers to make complex strategic decisions for future development. These findings have suggested that service innovation should be included as a strategic tool to assess differentiation effort in the hotel industry.

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Multicriteria Decision Analysis Approach for Stochastic Ranking with Application to Network Resilience

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering ◽

10.1061/ajrua6.0000854 ◽

2016 ◽

Vol 2 (1) ◽

pp. 04015018 ◽

Cited By ~ 3

Author(s):

Claudio M. Rocco ◽

Elvis Hernández-Perdomo ◽

Kash Barker

Keyword(s):

Decision Analysis ◽

Multicriteria Decision Analysis ◽

Analysis Approach ◽

Network Resilience ◽

Multicriteria Decision

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Automatic selection of weights for GIS-based multicriteria decision analysis: site selection of transmission towers as a case study

Applied Geography ◽

10.1016/j.apgeog.2017.04.001 ◽

2017 ◽

Vol 83 ◽

pp. 78-85 ◽

Cited By ~ 20

Author(s):

Fabio Veronesi ◽

Joram Schito ◽

Stefano Grassi ◽

Martin Raubal

Keyword(s):

Decision Analysis ◽

Site Selection ◽

Multicriteria Decision Analysis ◽

Multicriteria Decision ◽

Automatic Selection ◽

Transmission Towers ◽

Selection Of

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Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites

Applied Energy ◽

10.1016/j.apenergy.2011.11.087 ◽

2012 ◽

Vol 96 ◽

pp. 292-301 ◽

Cited By ~ 58

Author(s):

Olufemi A. Omitaomu ◽

Brandon R. Blevins ◽

Warren C. Jochem ◽

Gary T. Mays ◽

Randy Belles ◽

...

Keyword(s):

Decision Analysis ◽

Multicriteria Decision Analysis ◽

Analysis Approach ◽

Multicriteria Decision

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VP64 Post-Graduation Selection Using Multi-Criteria Decision Analysis

International Journal of Technology Assessment in Health Care ◽

10.1017/s0266462317003415 ◽

2017 ◽

Vol 33 (S1) ◽

pp. 178-179

Author(s):

Marisa Santos ◽

Kátia Senna ◽

Carlos Magliano ◽

Jessica Baldissara

Keyword(s):

Decision Analysis ◽

Graduate Programs ◽

Writing Skills ◽

Value Theory ◽

Degree Program ◽

Scientific Writing ◽

Multicriteria Decision Analysis ◽

Full Time ◽

Multicriteria Decision ◽

Selection Of

INTRODUCTION:Selecting candidates for graduate programs is considered to be a complex task, often subject to failures, especially regarding to the appraisal of non-cognitive (1,2) skills (for example, Motivation). Identifying suitable candidates is important for the overall success of the graduate programs, since dropouts and low productivity negatively affect the program classification by the Brazilian Governmental Agency.This study aims to describe the use of Multicriteria Decision Analysis (3) in the selection of candidates for a master degree program in Health Technology Assessment (HTA).METHODS:The Multicriteria Decision Analysis (MCDA) technique was used to measure value in the selection of students applying for a masters degree program, in 2017, using Multi-Attribute Value Theory methods (MAVT) method. The examiners group consisting of full-time professors who selected the criteria, blinded ranked and assigned weight relative to each criterion, using swing weights technique, normalized to 100 percent. During the face to face interview with the students, each evaluator professor filled an individual spreadsheet based on pre-defined questions and curriculum analysis. The results were summarized with a mean. For criterion performance, a value from 0 until 3 was assigned if the candidate didn't meet the criterion, partially meet and fully meet. The performance scores were multiplied by the weight of each criterion, the results were summarized by simple additive model, and the candidates were ranked.RESULTS:An interview was conducted with the examining group evaluating MCDA asking for difficulties, time consumed and if the result was considered fair. Seven criteria were listed: “Comprehension of HTA”, “Motivation”, “Ability to disseminate information”, “Availability to attend the course”, “Scientific production”, “Potential to work in HTA area” and “Scientific writing skills”.The highest weight (24 percent) was attributed to the “Potential to work in HTA area” and “Scientific writing skills” (20 percent). The evaluating group was unanimous in considering the process easy, fast and fair.CONCLUSIONS:The MCDA technique was applied successfully in student selection. Further prospective studies are needed.

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