Abstract
This work aims to present the application of Multi-Criteria Decision-Making methods to the process of recruiting candidates for the position of project manager, considering aspects of the decision maker's preferences in uncertain and risk scenarios. Applied, descriptive and experimental, made up of the combined employment TODIM-FSE methods for multi-criteria classification of available candidates, and the method Behavioral TOPSIS, to choose the ideal project manager. The hybrid application of the Multi-Criteria Decision-Making methods TODIM-FSE, method based on Prospect Theory, and Behavioral TOPSIS, which considers the concept of loss aversion of Economic Behavior, is essentially innovative. When using TODIM-FSE and Behavioral TOPSIS, it was verified the explicit incorporation of the risk profile of the decision maker - aggressive, neutral, or conservative - in the context of aversion or propensity to the risks associated with the management of a project. Through the personal recruiting process from a large Brazilian organization, the possibility of adopting the hybrid model resulting from the combination of the two methods in a real situation was validated. Such validation allowed us to conclude that the candidates' classifications and choices, previously normally accepted, were at odds with the profile and risk propensity of the decision makers.
Highlights
Project management inherently involves high levels of risk because projects, by definition, are being executed for the first time (Olson & Wu, 2010). Kerzner (2011) highlights the relevance of the role of project management as a strategic or core competency necessary for an organization's growth and survival
The hybrid application of the Multi-Criteria Decision-Making methods TODIM-FSE, method based on Prospect Theory, and Behavioral TOPSIS, which considers the concept of loss aversion of Economic Behavior, is essentially innovative
When using TODIM-FSE and Behavioral TOPSIS, it was verified the explicit incorporation of the risk profile of the decision maker - aggressive, neutral, or conservative - in the context of aversion or propensity to the risks associated with the management of a project
Summary
Project management inherently involves high levels of risk because projects, by definition, are being executed for the first time (Olson & Wu, 2010). Kerzner (2011) highlights the relevance of the role of project management as a strategic or core competency necessary for an organization's growth and survival. Classification, and choice process of a Project Manager explicit, that is, to mathematically model part of the intrinsic subjectivity of decision making, the use of MultiCriteria Decision Making (MCDM) methods was adopted. Gomes, Araya and Carignano (2004) highlight that the TODIM method, methodological and conceptual foundation of TODIM-ESF, has a psychological foundation that explicitly considers the behavior of each decision agent in relation to risk, which is the fundamental reason for choosing to solve the proposed problem. Once the classification problem was solved, the ideal project manager was chosen through the application of the behavioral TOPSIS method (Yoon & Kim, 2017). Behavioral TOPSIS allows for the classification of the risk profile of the decision maker, whether aggressive or conservative, to the context of aversion or propensity to accept risks that involve the management of a project
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