scholarly journals Selection of emerging technologies using the Analytic Network Process in a Colombian public university

DYNA ◽  
2019 ◽  
Vol 86 (211) ◽  
pp. 233-240
Author(s):  
Jenny Fabiana Gaviria Cuevas ◽  
MIRIAM ESCOBAR VALENCIA ◽  
Anabella Pabón Romero
Keyword(s):  
Analytic Network Process ◽  
Research Management ◽  
Stage Of Development ◽  
Management Processes ◽  
Initial Stage ◽  
Multicriteria Method ◽  
Network Process ◽  
Technological Developments ◽  
The University ◽  
Selection Of

The research management processes in the universities is one of the key elements for the financial resources allocation, which promote and transfer promising technological developments to the society. The research entitled "Strengthening the institutional technology transfer and commercialization system of the University of Valle", co-financed by Colciencias, includes technologies that are still in an initial stage of development, but have detected their potential to become the most important technologies of the future. We evaluated, applying decision techniques, 38 type of technologies to be transferred, getting as a result five (5) technologies as the most prepared to be boosted with university resources; indicating Which of the 5 technologies to support first? The Analytic Network Process (ANP) multicriteria method is applied obtaining a ranking that determines the order in which technologies can enter the market, to lead efforts towards future innovations.

scholarly journals A HYBRID MCDM APPROACH TO ASSESS THE SUSTAINABILITY OF STUDENTS’ PREFERENCES FOR UNIVERSITY SELECTION

2014 ◽  
Vol 20 (3) ◽  
pp. 391-418 ◽  
Author(s):  
Mehmet Kabak ◽  
Metin Dağdeviren
Keyword(s):  
Social Life ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
University Selection ◽  
Network Process ◽  
Promethee Method ◽  
The University ◽  
Selection Of

Selection of the most suitable university among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, an integrated approach which employs analytic network process (ANP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, is proposed for this problem. By the way, the paper is concerned with criteria influencing student choice in Turkey to establish if there is any need in developing a multi-criteria model for predicting students’ preference for universities. The ANP is used to analyse the structure of the university selection problem and to determine weights of the criteria, and the PROMETHEE method is used to obtain final ranking, and to make a sensitivity analysis by changing the weights for criteria. The results indicate that three factors, future career prospects and opportunities, scholarship and university's social life at the top in the university selection.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

scholarly journals Applying analytical network process to the selection of financing method for abandoned construction projects in Iraq

2021 ◽  
Vol 14 (2) ◽  
pp. 62-70
Author(s):  
Huda Yaseen ◽  
Hafeth I. Naji
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Analytic Network Process ◽  
Construction Sector ◽  
Negative Effects ◽  
Analytical Network Process ◽  
Multiple Risks ◽  
Final Weight ◽  
Network Process ◽  
Selection Of

Construction projects are of a special nature affected by many factors, which makes them exposed to multiple risks that may lead to the abandonment of projects. Recently, the Iraqi construction sector is facing a number of problems. Abandoned construction projects are one of the most common and dangerous problems in the construction industry in Iraq, with their negative effects on stakeholders, the economy, and the environment due to the lack of sufficient financial and administrative capabilities to complete construction projects, which is reflected in exceeding the time limit for the completion of projects. The aim of this research is to use the analytic network process (ANP) technique to choose the best form of Public-Private Partnership (PPP) contracts to fund abandoned projects in Iraq. using a questionnaire survey to determine the most criteria and alternatives for selecting appropriate financing for the abandoned project. The results shown final weight of the Build-Own-Operate (BOO) contract from ANP is 0.533, which is the best form of PPP contract among the alternatives proposed to fund the project.

scholarly journals A New Comprehensive Approach for Efficient Road Vehicle Procurement Using Hybrid DANP-TOPSIS Method

2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Technical Aspect ◽  
Selling Price ◽  
Topsis Method ◽  
Environmental Decision Making ◽  
Network Process ◽  
Order Preference ◽  
Vehicle Fleet ◽  
Selection Of

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.

scholarly journals Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Requirement Engineering ◽  
Analytic Network Process ◽  
Software Project ◽  
Requirement Elicitation ◽  
Network Process ◽  
Decision Making Processes ◽  
Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

scholarly journals A Fuzzy-Based Decision Support Model for Risk Maturity Evaluation of Construction Organizations

Algorithms ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 115
Author(s):  
Mohammadjavad Arabpour Roghabadi ◽  
Osama Moselhi
Keyword(s):  
Risk Management ◽  
Model Development ◽  
Analytic Network Process ◽  
Maturity Model ◽  
Decision Support Model ◽  
Construction Organizations ◽  
Management Processes ◽  
Network Process ◽  
Risk Maturity ◽  
Maturity Evaluation

Risk maturity evaluation is an efficient tool which can assist construction organizations in the identification of their strengths and weaknesses in risk management processes and in taking necessary actions for the improvement of these processes. The accuracy of its results relies heavily on the quality of responses provided by participants specialized in these processes across the organization. Risk maturity models reported in the literature gave equal importance to participants’ responses during the model development, neglecting their level of authority in the organization as well as their level of expertise in risk management processes. Unlike the existing models, this paper presents a new risk maturity model that considers the relative importance of the responses provided by the participants in the model development. It considered their authority in the organization and their level of involvement in the risk management processes for calculating the relative weights associated with the risk maturity attributes. It employed an analytic network process (ANP) to model the interdependencies among the risk maturity attributes and utilizes the fuzzy set theory to incorporate the uncertainty associated with the ambiguity of the responses used in the model development. The developed model allows the construction organizations to have a more accurate and realistic view of their current performance in risk management processes. The application of the developed model was investigated by measuring the risk maturity level of an industrial partner working on civil infrastructure projects in Canada.

scholarly journals Selection of technology acquisition mode using the analytic network process

2009 ◽  
Vol 49 (5-6) ◽  
pp. 1274-1282 ◽  
Author(s):  
Hakyeon Lee ◽  
Sora Lee ◽  
Yongtae Park
Keyword(s):  
Analytic Network Process ◽  
Technology Acquisition ◽  
Acquisition Mode ◽  
Network Process ◽  
Selection Of

An application of analytic network process for selection of a plant location: a case study

2012 ◽  
Vol 12 (1) ◽  
pp. 35 ◽  
Author(s):  
G. Anand ◽  
Rambabu Kodali ◽  
Chandra Sekhar Dhanekula
Keyword(s):  
Analytic Network Process ◽  
Plant Location ◽  
Network Process ◽  
Selection Of

scholarly journals Analisis Metode Analytic Network Process pada Pemilihan Faktor Dominan Siswa Berprestasi di MTS Pembina

2021 ◽  
Vol 6 (1) ◽  
pp. 120
Author(s):  
Iis Warlinda ◽  
Agus Perdana Windarto ◽  
M Fauzan
Keyword(s):  
Decision Support ◽  
Mathematical Theory ◽  
Analytic Network Process ◽  
Dominant Factor ◽  
High Achieving Students ◽  
Network Process ◽  
High Achieving ◽  
Selection Of

School is a place for students to gain knowledge. Every school has a goal which is to improve the quality of the education world, as well as the MTS Pembina Maligas Bayu school. To realize this goal there must be improvements in service, teaching and assessment in order to make a quality school. In this case the homeroom teacher is faced with a problem that is the selection of high achieving students who fit the criteria desired by the school. The purpose of this study is to analyze which factors are the most dominant in determining student achievement. The selection of high achieving students has many factors and has different values, so we need an Analytic Network Process (ANP) method to overcome them. Analytic Network Process (ANP) methods including decision support system techniques, Analytic Network Process (ANP) is a mathematical theory that allows dealing with interrelated factors and feedback in a structured manner. The data of this study came from student questionnaires which had a rating of 1-10. With alternative morals (A1), Grades (A2), Discipline (A3), Absence (A4), The role of the teacher (A5). Whereas A1 0.16%, A2 0.02%, A3 0.02%, A4 0.07% and A5 0.06%. It is hoped that this research can provide input to the MTS Pembina schools to focus on the dominant factor in the selection of outstanding students so as to increase the number of outstanding students.

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