BRIGHT AND DARK TRAITS AS PREDICTORS OF ALTRUISM

2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.18623/rvd.v23.5721
Data confidence 85 high
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The theme of this article is focused on altruism, traditionally defined as behavior benefiting others at personal cost, is increasingly recognized as a multifaceted construct with various facets, referred here as kind and assertive altruistic behaviour. Among the key tasks of the managers is to identify the altruists among their personnel and keep their emotional health. Therefore, the goal of this article is to analyze bright and dark traits as predictors of altruism. The applied methodology is in two main directions: (1) To provide literature review in order to give a basic understanding both to altruism and its bright and dark traits as predictors. (2) To analyze student dispositions to: Altruism, Charity, Help-Giving, Moral Courage, Peer Punishment, Dark Tetrad, Psychopathy, Narcissism, Sadism and Machiavellianism. The findings are also important for the gender equity academic approach, because most of the respondents are females who will have key roles during their career development. The analyzes give us certainty to conclude that there are differentiated trait profiles across altruism domains, revealing both expected and novel patterns. The unique combination of dark traits and some bright traits deserve robust future study including facets for better understanding and insights.