A New Model for the Selection of Information Technology Project in a Neutrosophic Environment

Autor: Maikel Leyva-Vázquez, Miguel A. Quiroz-Martínez, Yoenia Portilla-Castell, Jesús R. HechavarríaHernández, Erick González-Caballero
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Neutrosophic Sets and Systems, Vol 32, Pp 344-360 (2020)
Druh dokumentu: article
ISSN: 2331-6055
2331-608X
DOI: 10.5281/zenodo.3723178
Popis: Usually, companies confront the difficulty to make the best decision about the way to invest their recourses in different project alternatives. The company acquires competitive advantages when their software development projects are well evaluated and correctly selected. Selecting projects in the Information Technology field presents challenges in many senses; e.g., the difficulty that entails assessing intangible benefits, projects are interdependent and companies impose self-constraints. In addition, the framework to make the decision is generally uncertain with many unknown factors. This paper aims to propose a model that integrates methods, techniques and tools such as the Balanced Scorecard Model, neutrosophic Analytic Hierarchy Process and zero-one linear programming. The proposed model is designed to select the best portfolio of Information Technology projects, it overcomes the obstacles mentioned above and can be coherently incorporated in the strategic plan process of any company. In addition, it eases the course of experts’ decision making, because it is based on Neutrosophy and hence incorporates the indeterminacy term.
Databáze: Directory of Open Access Journals