Rocío Poveda-Bautista, Jose Antonio Diego-Mas, Hannia González-Urango, Carmen Corona-Sobrino
{"title":"能力评估中的有意识与无意识性别偏见:专案经理的心理表征","authors":"Rocío Poveda-Bautista, Jose Antonio Diego-Mas, Hannia González-Urango, Carmen Corona-Sobrino","doi":"10.1155/cplx/7974362","DOIUrl":null,"url":null,"abstract":"<p>Organizational systems are inherently complex, with decision-making processes influenced by interactions between individual perceptions, social norms, and systemic structures. In project management, unconscious gender biases represent a hidden layer of complexity, subtly shaping evaluations of competences and leadership potential. This study explores how unconscious gender biases emerge as part of the complex dynamics within organizational decision-making systems. It investigates the interplay between individual cognitive biases and systemic factors in defining what constitutes a “good project manager” and how these biases influence hiring and promotion decisions. Using a sample of project management professionals, we applied noise-based reverse correlation (NBRC) to reveal participants’ unconscious mental representations of an ideal project manager by generating faces that best represented project managers. The study then compared these representations with conscious competence evaluations based on the International Project Management Association (IPMA) Competence Baseline, incorporating statistical methods to identify patterns of bias and preference. The findings reveal that unconscious gender biases align with entrenched stereotypes, favoring traits associated with masculinity in leadership roles. However, when consciously evaluating specific competences, participants displayed preferences that challenged these biases, suggesting a misaligned relationship between unconscious perceptions and explicit decisions. Unconscious gender bias operates as a hidden variable within the complex system of organizational decision-making, creating feedback loops that reinforce traditional stereotypes. Understanding these dynamics requires a system-level approach that integrates cognitive and organizational perspectives. Our findings highlight the need for interventions that address both individual biases and structural factors to foster equitable decision-making in complex organizational environments.</p>","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2025 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/7974362","citationCount":"0","resultStr":"{\"title\":\"Conscious and Unconscious Gender Bias in Competence Evaluations: Mental Representations of Project Managers\",\"authors\":\"Rocío Poveda-Bautista, Jose Antonio Diego-Mas, Hannia González-Urango, Carmen Corona-Sobrino\",\"doi\":\"10.1155/cplx/7974362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Organizational systems are inherently complex, with decision-making processes influenced by interactions between individual perceptions, social norms, and systemic structures. In project management, unconscious gender biases represent a hidden layer of complexity, subtly shaping evaluations of competences and leadership potential. This study explores how unconscious gender biases emerge as part of the complex dynamics within organizational decision-making systems. It investigates the interplay between individual cognitive biases and systemic factors in defining what constitutes a “good project manager” and how these biases influence hiring and promotion decisions. Using a sample of project management professionals, we applied noise-based reverse correlation (NBRC) to reveal participants’ unconscious mental representations of an ideal project manager by generating faces that best represented project managers. The study then compared these representations with conscious competence evaluations based on the International Project Management Association (IPMA) Competence Baseline, incorporating statistical methods to identify patterns of bias and preference. The findings reveal that unconscious gender biases align with entrenched stereotypes, favoring traits associated with masculinity in leadership roles. However, when consciously evaluating specific competences, participants displayed preferences that challenged these biases, suggesting a misaligned relationship between unconscious perceptions and explicit decisions. Unconscious gender bias operates as a hidden variable within the complex system of organizational decision-making, creating feedback loops that reinforce traditional stereotypes. Understanding these dynamics requires a system-level approach that integrates cognitive and organizational perspectives. Our findings highlight the need for interventions that address both individual biases and structural factors to foster equitable decision-making in complex organizational environments.</p>\",\"PeriodicalId\":50653,\"journal\":{\"name\":\"Complexity\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/7974362\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Complexity\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/cplx/7974362\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complexity","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/cplx/7974362","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Conscious and Unconscious Gender Bias in Competence Evaluations: Mental Representations of Project Managers
Organizational systems are inherently complex, with decision-making processes influenced by interactions between individual perceptions, social norms, and systemic structures. In project management, unconscious gender biases represent a hidden layer of complexity, subtly shaping evaluations of competences and leadership potential. This study explores how unconscious gender biases emerge as part of the complex dynamics within organizational decision-making systems. It investigates the interplay between individual cognitive biases and systemic factors in defining what constitutes a “good project manager” and how these biases influence hiring and promotion decisions. Using a sample of project management professionals, we applied noise-based reverse correlation (NBRC) to reveal participants’ unconscious mental representations of an ideal project manager by generating faces that best represented project managers. The study then compared these representations with conscious competence evaluations based on the International Project Management Association (IPMA) Competence Baseline, incorporating statistical methods to identify patterns of bias and preference. The findings reveal that unconscious gender biases align with entrenched stereotypes, favoring traits associated with masculinity in leadership roles. However, when consciously evaluating specific competences, participants displayed preferences that challenged these biases, suggesting a misaligned relationship between unconscious perceptions and explicit decisions. Unconscious gender bias operates as a hidden variable within the complex system of organizational decision-making, creating feedback loops that reinforce traditional stereotypes. Understanding these dynamics requires a system-level approach that integrates cognitive and organizational perspectives. Our findings highlight the need for interventions that address both individual biases and structural factors to foster equitable decision-making in complex organizational environments.
期刊介绍:
Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.