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|Title:||An Application with Fuzzy AHP for Making the Assignment Aimed at the Holistic Benefit Over the Person Evaluation as Required by the Requirements and Evaluations of Individuals||Authors:||Yel, İ.
|Keywords:||Assignment of Requirements
Assignment of requirement
Information technology projects
Most valuable product
|Issue Date:||2023||Publisher:||Springer Science and Business Media Deutschland GmbH||Abstract:||It is assumed that the success rates of information technology (IT) projects will increase with the management of development packages called Most Valuable Product (MVP). This is considered to be a real requirement. Based on this assumption, this study identified different criteria based on the requirements or MVPs to be developed in an organization. The criteria are differentiated for analyst and software developer positions. The level of each criterion was defined by the experts for the development of MVPs. The same criteria were used to evaluate both analyst and software developer positions. After evaluating the MVPs and determining the levels of the individuals, the weights of the criteria were determined using fuzzy AHP to determine the desired level and the levels of the individuals. The minimization problem of which person should be assigned to which MVP package over the weights was solved using the Excel solver. The sums were performed. The result is a balanced distribution of multiple MVP packages within a unit; with the goal of assigning MVP packages to the positions that can best improve themselves and increase overall benefit. Evaluation of employee competencies and needs definitions of projects with fuzzy MCDM method constitutes an important contribution of this study. Under the guidance of the evaluations, erroneous assignments that would lead the project to failure were avoided and more competent people were appointed for more critical requirements. Thus, the potentials of competent persons were utilized at the highest level. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.||Description:||Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549||URI:||https://doi.org/10.1007/978-3-031-39777-6_52
|Appears in Collections:||Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections|
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