scholarly journals WITHDRAWN: Criteria-formulating delphic hierarchy process: A systematic approach for open source solution adoption

Author(s):  
Yixin Bian ◽  
Song Zhao ◽  
Hailong Zhu
Author(s):  
Norita Ahmad ◽  
Phillip A. Laplante

Selecting appropriate Open Source Software (OSS) for a given problem or a set of requirements can be very challenging. Some of the difficulties are due to the fact that there is not a generally accepted set of criteria to use in evaluation and that there are usually many OSS projects available to solve a particular problem. In this study, the authors propose a set of criteria and a methodology for assessing candidate OSS for fitness of purpose using both functional and non-functional factors. The authors then use these criteria in an improved solution to the decision problem using the well-developed Analytical Hierarchy Process. In order to validate the proposed model, it is applied at a technology management company in the United Arab Emirates, which integrates many OSS solutions into its Information Technology infrastructure. The contribution of this work is to help decision makers to better identify an appropriate OSS solution using a systematic approach without the need for intensive performance testing.


Author(s):  
Norita Ahmad ◽  
Phillip A. Laplante

Selecting appropriate Open Source Software (OSS) for a given problem or a set of requirements can be very challenging. Some of the difficulties are due to the fact that there is not a generally accepted set of criteria to use in evaluation and that there are usually many OSS projects available to solve a particular problem. In this study, the authors propose a set of criteria and a methodology for assessing candidate OSS for fitness of purpose using both functional and non-functional factors. The authors then use these criteria in an improved solution to the decision problem using the well-developed Analytical Hierarchy Process. In order to validate the proposed model, it is applied at a technology management company in the United Arab Emirates, which integrates many OSS solutions into its Information Technology infrastructure. The contribution of this work is to help decision makers to better identify an appropriate OSS solution using a systematic approach without the need for intensive performance testing.


2015 ◽  
pp. 1091-1109
Author(s):  
Norita Ahmad ◽  
Phillip A. Laplante

Selecting appropriate Open Source Software (OSS) for a given problem or a set of requirements can be very challenging. Some of the difficulties are due to the fact that there is not a generally accepted set of criteria to use in evaluation and that there are usually many OSS projects available to solve a particular problem. In this study, the authors propose a set of criteria and a methodology for assessing candidate OSS for fitness of purpose using both functional and non-functional factors. The authors then use these criteria in an improved solution to the decision problem using the well-developed Analytical Hierarchy Process. In order to validate the proposed model, it is applied at a technology management company in the United Arab Emirates, which integrates many OSS solutions into its Information Technology infrastructure. The contribution of this work is to help decision makers to better identify an appropriate OSS solution using a systematic approach without the need for intensive performance testing.


Author(s):  
Muhammad Azhar Shahid ◽  
Urooj Akram ◽  
Muhammad Mazhar Ali Shahid ◽  
Ali Samad ◽  
Muhammad Faheem Mushtaq ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Gerçek Budak ◽  
Xin Chen ◽  
Serdar Celik ◽  
Berk Ozturk

Abstract Background Cities around the world face a great challenge in establishing a long-term strategy for the development of energy alternatives. Previous research tried to identify renewable energy across many different cities. Because each city has unique characteristics in terms of geographic and environmental conditions, population, economic development, and social and political environment, the most sustainable energy source for one city might be the least sustainable for another. Methods This research develops and implements a systematic approach to assess renewable energy and identify the energy alternatives for a city using the analytic hierarchy process. The methodology integrates experts’ input and data analytics and helps decision-makers form long-term strategies for renewable energy development. Results The decision support system is applied to three cities, Chengdu in China, Eskisehir in Turkey, and Chicago in the United States of America. Results show that improving energy efficiency and development of solar and wind energy are the most preferred energy alternatives whereas nuclear and hydroelectric are the least preferred energy alternatives for these three cities. Conclusions The results of this study are in line with decades of research and development in energy alternatives and show a clear direction for the future development of energy alternatives around the world. There are differences in the rankings of energy alternatives for different cities, indicating that it is necessary to apply the decision support system developed in this study to help form customized energy strategies for cities with unique characteristics.


Author(s):  
Dipanjan Ghose ◽  
Sreejita Naskar ◽  
Shabbiruddin ◽  
Amit Kumar Roy

Most of the issues regarding power supply occurs due to transmission of power through long distances over diverse and unsuitable landscapes. A solar power plant, if installed within the vicinity of the diverse recipient areas, cuts short the transmission related problems by great numbers and acts like an absolute boon to hilly terrains like Sikkim. The study presented here investigates the land suitability for medium-scale solar power installations in Sikkim by using open source software - Quantum-Geographic Information System (Q-GIS) combined with Multi-criteria Decision Making (MCDM) techniques. Six exclusion criteria are identified to avoid unsuitable areas for plant installation. Analytic Hierarchy Process (AHP) is used to rank the available areas according to their suitability, which have been further presented in a technology-aided suitability map. Such a study greatly reduces the feasibility related issues for investors in such projects to visit every site available for construction of the plant, saving time and money.


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