Integrating multicriteria decision analysis and scenario planning : review and extension

Scenario planning and multiple criteria decision analysis (MCDA) are two key management science tools used in strategic planning. In this paper, we explore the integration of these two approaches in a coherent manner, recognizing that each adds value to the implementation of the other. Various approaches that have been adopted for such integration are reviewed, with a primary focus on the process of constructing preferences both within and between scenarios. Biases that may be introduced by inappropriate assumptions during such processes are identified, and used to motivate a framework for integrating MCDA and scenario thinking, based on applying MCDA concepts across a range of "metacriteria" (combinations of scenarios and primary criteria). Within this framework, preferences according to each primary criterion can be expressed in the context of different scenarios. The paper concludes with a hypothetical but non-trivial example of agricultural policy planning in a developing country

Spatial multicriteria decision analysis to potential beekeeping assessment. Case study: Montesinho Natural Park (Portugal)

The Multicriteria decision analysis is a tool to support decision-making in the identification of areas with the utmost beekeeping potential. This paper design a GIS multicriteria approach to assess the beekeeping potential. The development of a conceptual model structure requires the participation of stakeholders and experts in that process. The spatial Multicriteria Decision Analysis (MCDA) allowed defining the potential beekeeping map. The resulting maps can be used by the beekeepers associations to easily select the more suitable areas for the apiaries location or relocation and avoid prohibited areas by legal requirements

Environmental urbanization assessment using gis and multicriteria decision analysis: a case study for Denizli (Turkey) municipal area

In recent years, life quality of the urban areas is a growing interest of civil engineering. Environmental quality is essential to display the position of sustainable development and asserts the corresponding countermeasures to the protection of environment. Urban environmental quality involves multidisciplinary parameters and difficulties to be analyzed. The problem is not only complex but also involves many uncertainties, and decision-making on these issues is a challenging problem which contains many parameters and alternatives inherently. Multicriteria decision analysis (MCDA) is a very prepotent technique to solve that sort of problems, and it guides the users confidence by synthesizing that information. Environmental concerns frequently contain spatial information. Spatial multicriteria decision analysis (SMCDA) that includes Geographic Information System (GIS) is efficient to tackle that type of problems. This study has employed some geographic and urbanization parameters to assess the environmental urbanization quality used by those methods. The study area has been described in five categories: very favorable, favorable, moderate, unfavorable, and very unfavorable. The results are momentous to see the current situation, and they could help to mitigate the related concerns. The study proves that the SMCDA descriptions match the environmental quality perception in the city. © 2018 Erdal Akyol et al

Multicriteria decision analysis for sustainable data centers location

This is a PDF file of an unedited manuscript that has been accepted for publication in International Transactions in Operational Research. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. The final version will be available at: http://dx.doi.org/10.1111/j.1475-3995.2012.00874.

Organizational creativity in innovation – a multicriteria decision analysis

Creativity is essential for the emergence of innovation within organizations, both necessary for organizational survival. Several models have been proposed for organizational creativity, each containing different constructs. This research aims to verify the standardization of constructs in the literature and to verify the possible existence of two dimensions not previously explored: hierarchy between constructs (global importance) and weight of constructs (relative importance) of organizational creativity that lead to innovation. We employed Multicriteria Decision Analysis with the PAPRIKA method, which combines the advantages of numerical and verbal decision making. The creativity constructs were elicited from a detailed review of the literature from Scopus and Web of Science databases. The results contribute to the expansion of the current theory of creativity, with the application of a new method to the object and management practices.

METODE BARU PEMERINGKATAN WEBOMETRICS UNIVERSITAS DENGAN MULTICRITERIA DECISION ANALYSIS

Pemeringkatan dengan sistem webometric semakin banyak dipergunakan untuk menilai kualitas web universitas. Walaupun demikian, sistem ini belum menggunakan teknik pembobotan variabel dan pemeringkatan dengan teknik analisis multicriteria decision analysis sehingga tingkat validitas hasil pemeringkatan yang dihasilkan belum optimal. Penelitian ini memiliki target khusus untuk mengembangkan metode baru pemeringkatan webometrics universitas di dunia dengan memperhitungkan proses pembobotan variabel. Selanjutnya tujuan jangka panjang penelitian ini adalah merintis lembaga pemeringkatan webometrics berbasis multicriteria decision analysis dan mempublikasikan hasil pemeringkatan web universitas di dunia secara berkala. Penelitian ini merupakan tahun pertama berupa penelitian eksperimental yang melibatkan 30 pakar ilmu informasi di dunia. Kelompok pakar diminta untuk memberikan rekomendasi variabel dan bobot penilaian webometrics dengan menggunakan metode Analytical hierarchy process. Selanjutnya dilakukan analisis pembobotan dengan menggunakan metode geometric average mean. Penelitian ini akan dilanjutkan pada tahun ke II dengan melakukan validasi proses pemeringkatan webometrics menggunakan dua buah metode outranking yaitu PROMETHE dan VIKOR. Di akhir penelitian ditargetkan tersusun standar baru penilaian webometrics dengan mengembangkan situs perangkingan webometrics yang dipublikasikan setiap 6 bulan. Penelitian tahun II juga difokuskan pada penambahan jumlah sampel universitas, pembuatan website untuk publikasi berkala hasil perangkingan webometrics, serta pembuatan instrumen perangkat lunak dan basis data untuk otomatisasi pengambilan data. Hasil Penelitian : dari penelitian ini adalah Dari hasil pembobotan dengan menggunakan teknik AHP, didapat hasil pembobotan untuk masing-masing kategori sebagai berikut: size =0.1359, visibility = 0.1346, rich files = 0.1408, scholar = 0.1387, traffic rank = 0.1447, page rank = 0.1450, dan quality of Link = 0.144

A Multiple Stakeholder Multicriteria Decision Analysis in Diabetic Macular Edema Management: The MULTIDEX‑EMD Study

Background The clinical and economic management of retinal diseases has become more complex following the introduction of new intravitreal treatments. Multicriteria decision analysis (MCDA) offers the potential to overcome the challenges associated with traditional decision-making tools. Objectives A MCDA to determine the most relevant criteria to decision-making in the management of diabetic macular edema (DME) based on the perspectives of multiple stakeholders in Spain was developed. This MCDA was termed the MULTIDEX-EMD study. Methods Nineteen stakeholders (7 physicians, 4 pharmacists, 5 health authorities and health management experts, 1 psychologist, and 2 patient representatives) participated in this three-phase project. In phase A, an advisory board defined all of the criteria that could influence DME treatment decision-making. These criteria were then screened using a discrete choice experiment (DCE) (phase B). Next, a multinomial logit model was fitted by applying the backward elimination algorithm (relevant criteria: p value = 15 letters (p value < 0.001), effect duration per administration (p value = 0.008), retinal detachment (p value < 0.001), endophthalmitis (p value = 0.012), myocardial infarction (p value < 0.001), intravitreal hemorrhage (p value = 0.021), annual treatment cost per patient (p value = 0.001), health-related quality of life (HRQoL) (p value = 0.004), and disability level (p value = 0.021). Conclusions From a multi-stakeholder perspective, the selection of an appropriate treatment for DME patients should guarantee patient safety and maximize the visual acuity improvement and treatment effect duration. It should also contribute to system sustainability by being affordable, it should have a positive impact on HRQoL, and it should prevent disability