Flowing Through the Workplace: Exploring the Impact of Menstruation on Women’s Work Outcomes
Notice bibliographique
Résumé
The past few years have highlighted the necessity for management researchers to consider how bodily processes, specifically bodily processes unique to women, affect workers and workplaces (e.g., Bergman et al., 2023; Gabriel et al., 2022; Grandey, Gabriel & King, 2020). This presenter symposium on menstruation at work invites the Academy of Management community to think differently about people and their capabilities in organizations by focusing on an underrepresented but prevalent topic for organizational theory and practice. The menstruation (i.e., menstrual bleeding) and the menstrual cycle (i.e., 28-day recurrent cycle of sex hormones) is a topic fraught with shame and stigma, but it is embedded in organizational reality as a part of “experiences where work and nonwork blend (…) and [that] are brought directly into work” (Grandey et al., 2020, p. 22). Although menstruating people often try to mask their symptoms, passing as non-menstruating while they are at work (Sang, Remnant, Calvard & Myhill, 2021), those with menstrual problems cannot prevent negative aspects from entering the work domain (Motro, Ellis & Gabriel, 2019). The Academy of Management Annual Meeting 2024 theme “Innovating for the Future” invites members to examine the interplay of innovation, policy, and purpose as a lens for rethinking conventional ways of leading, managing, and organizing. For organizations to be dynamic and innovative, they are dependent on cognitive resources provided by employees. These individual resources are also naturally consumed by non-work-related tasks such as taking care of menstrual needs. In addition, cognitive resources and abilities fluctuate over the course of a woman's cycle. As such menstruation can consume resources to varying degrees by time and person (Motro et al., 2019). Following recent menstruation research (e.g., Grandey et al., 2020; Sang et al., 2021; Werner, Punzi & Tukenburg, 2023), we recognize menstruation as a distinctive issue inclusive of physical symptoms, stigma, shame, and social interactions, including those in the workplace. With this presenter symposium we aim to create insight about the connection between biological processes and specific problems regarding menstruation (e.g. endometriosis; Presentation 3) and behavior at work (e.g. motivation to lead and risk-taking behavior; Presentation 1 and 2). Building on this, we shed light on the contribution that organizations can make to establish better working conditions that take the female cycle into account (e.g. menstrual leave policies; Presentation 4). This symposium raises some the challenges menstruating people experience at work, what would help them feel more empowered in the workplace and what organizations can do to design and implement appropriate and effective measures that make a supportive workplace. Together with discussant, Dr. Mirjam Werner, this symposium aims to identify and review gaps in theory, policy, guidelines and practice that provide starting points for creating humane, powerful and innovative organizations and further research on the topic of menstruation and work. Follicular Stage and Motivation to Lead Author: Mikaila Ortynsky; Telfer School of Management, U. of Ottawa Author: Alyson Byrne; Memorial U. of Newfoundland Author: Anika Cloutier; Rowe School of Business, Dalhousie U. Author: Erica Carleton; U. of Regina Navigating the Female Agency Paradox: How Sex Hormones Cyclically Impact Risk-Taking Behaviors Author: Rachel Hahn; Purdue U. Experienced Stigmatization, Organizational Resources, and Burnout in Employees with Endometriosis Author: Alexandra Cook; U. of Amsterdam Author: Alexander Zill; U. of Applied Sciences Mittweida Menstruation at Work: Cross-Cultural Analysis between Germany and Spain Author: Tanja Reimer; Europa-U. Flensburg Author: Jasmin Joecks; Eberhard Karls U. Tübingen
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».