Staines, Tavris and Jayaratne (1974) first introduced the Queen Bee Phenomenon (QBP). The term has been extensively employed to explain specific behaviors driven by organizational inequalities where women engaged in leadership positions actively restrain the opportunities of upper mobility for junior women. While the literature constantly addresses the causes and behaviors of this phenomenon, the current scholarship still lacks an integrated view of the QBP literature and a concise integrative framework that explores its triggers and consequences to advance research and provide evidence-based results to guide policy and managerial decisions. Thus, the purpose of this paper is to identify, analyze and synthesize the literature on the QBP. We conducted a systematic literature review engaging bibliometrics and content analysis. Our results highlight the current state of the art of the QBP literature and introduce a new integrative framework that shows the interplay between the triggers, traits and consequences of the QBP. We contribute to the field by integrating previous research in the field into a framework that synthesizes and connects the scattered literature. Our results are helpful for designing new organizational policies that reduce the impacts of the QBP in the workplace. The research agenda propose avenues for advancing our understanding of the phenomenon.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/sjop.12957 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Barriers and Facilitators in Implementing a Telemonitoring Application for Patients With Chronic Kidney Disease and Health Professionals: Ancillary Implementation Study of the NeLLY (New Health e-Link in the Lyon Region) Stepped-Wedge Randomized Controlled Trial.
JMIR Mhealth Uhealth
January 2025
Calydial, Vienne, France.
Background: The use of telemonitoring to manage renal function in patients with chronic kidney disease (CKD) is recommended by health authorities. However, despite these recommendations, the adoption of telemonitoring by both health care professionals and patients faces numerous challenges.
Objective: This study aims to identify barriers and facilitators in the implementation of a telemonitoring program for patients with CKD, as perceived by health care professionals and patients, and to explore factors associated with the adoption of the program.
Hyper-Cross-Linked Polymer-Derived Carbon-Coated Fe-Ni Alloy/CNT as a Bifunctional Electrocatalyst for Rechargeable Zinc-Air Batteries.
J Phys Chem Lett
January 2025
Department of Physics, Indian Institute of Technology Delhi (IITD), Delhi 110016, India.
The oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are considered to be the most important processes in metal-air batteries and regenerative fuel cell devices. Metal-organic polymers are attracting interest as promising precursors of advanced metal/carbon electrocatalysts because of their hierarchical porous structure along with the integrated metal-carbon framework. We developed carbon-coated CNTs with Ni/Fe and Cu/Fe as active sites.
View Article and Find Full Text PDFDe novo design of peptide binders to conformationally diverse targets with contrastive language modeling.
Sci Adv
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Designing binders to target undruggable proteins presents a formidable challenge in drug discovery. In this work, we provide an algorithmic framework to design short, target-binding linear peptides, requiring only the amino acid sequence of the target protein. To do this, we propose a process to generate naturalistic peptide candidates through Gaussian perturbation of the peptidic latent space of the ESM-2 protein language model and subsequently screen these novel sequences for target-selective interaction activity via a contrastive language-image pretraining (CLIP)-based contrastive learning architecture.
View Article and Find Full Text PDFHumans excel at applying learned behavior to unlearned situations. A crucial component of this generalization behavior is our ability to compose/decompose a whole into reusable parts, an attribute known as compositionality. One of the fundamental questions in robotics concerns this characteristic: How can linguistic compositionality be developed concomitantly with sensorimotor skills through associative learning, particularly when individuals only learn partial linguistic compositions and their corresponding sensorimotor patterns? To address this question, we propose a brain-inspired neural network model that integrates vision, proprioception, and language into a framework of predictive coding and active inference on the basis of the free-energy principle.
View Article and Find Full Text PDFAI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.
J Med Internet Res
January 2025
Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.
There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!