A Probabilistic Mapping Approach to Assess the Employee Behavior Profile

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI:10.1109/CBI58679.2023.10187416

A. Vieira, Ana Carolina Conceição de Jesus, Jéssica da Assunção Almeida de Lima, R. Mariano, Giulia Zanon de Castro, Wladmir Cardoso Brandão

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Abstract

Organizations use People Analytics (PA) to pursue strategic planning of their activities. PA offers a strategic view of the organization, including the understanding of people's behavior. This article presents a new probabilistic approach to map behavioral profiles. It collects self-perception of personality traits and classifies persons into four archetypes. Additionally, it computes behavior characteristics at different intensities, generating nine situational indicators, such as energy and motivation. Our approach also presents thirteen areas of talent and their relationship to the behavioral profiles. We also test the assertiveness of our proposed approach by statistically evaluating it considering the perspectives of employees, employees leaders, and expert psychologists. Experimental results show that our approach is effective, achieving 93.22% ± 3.06% agreement for observed employees, 90.80% ± 4.60% for leader observers, and 93.66% ± 1.28% for expert observers.

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一种评估员工行为特征的概率映射方法

组织使用人员分析(PA)来追求其活动的战略规划。PA提供了组织的战略观点，包括对人们行为的理解。本文提出了一种新的概率方法来映射行为特征。它收集了人格特征的自我知觉，并将人分为四种原型。此外，它还计算不同强度下的行为特征，生成9个情境指标，如能量和动机。我们的方法还提出了13个人才领域及其与行为特征的关系。我们还通过考虑员工、员工领导和专家心理学家的观点，对我们提出的方法进行统计评估，以测试其自信性。实验结果表明，我们的方法是有效的，被观察员工的一致性为93.22%±3.06%，领导者观察者的一致性为90.80%±4.60%，专家观察者的一致性为93.66%±1.28%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 IEEE 25th Conference on Business Informatics (CBI)

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