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Revue Internationale de Psychosociologie et de Gestion des Comportements Organisationnels (RIPCO)
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The fifth RIPCO research day, focused on "well-being/malaise at work," brought together 93 participants and featured 35 presentations from 63 international contributors at the ICN campus in Paris-La Défense on June 6, 2024, and the editorial committee is considering transforming this annual event into a two-day academic congress. SUBMIT
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10/10/2024  
RIPCO launches a new special issue: Norms and organisationnal behaviour
In a context where confusion between standards and legal regulations is common, it is essential to clarify that standards are voluntarily adopted management tools, co-constructed through consensus, designed to simplify organisational processes. Unlike laws, which are mandatory, standards offer flexibility in implementation. Some are obligatory, such as ISO 17021 for certifications, while others, like ISO 26000, provide non-certifiable guidelines. Recent research shows that the adoption of standards is influenced by cultural and organisational factors, with tensions sometimes arising, as seen in France's critical reception of ISO 45001. The proliferation of standards, referred to as "Tétranormalisation," also creates challenges by generating conflicts between different norms. This special issue aims to explore how organisations perceive, negotiate, and manage standards, while also considering the creation of new standards to address contemporary issues like remote working and inclusivity.
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20/07/2024  
RIPCO launches a new special issue: Wellbeing at work
The study of ill-being at work is almost as old as the dissemination of Taylor's principles in organizations. In contrast, the emergence of well-being as a topic within management sciences is more recent. It truly came to prominence around the turn of the millennium when positive psychology encouraged the scientific community to study human functioning. As it is increasingly viewed by employees as a right rather than a privilege, well-being at work has consequently become a significant managerial issue. Various changes, such as the expression of new expectations at work, the depletion of traditional managerial performance levers, the adoption of new forms of organization and work, and the sudden and recent intrusion of artificial intelligence into many professions, encourage refining or even revising the established knowledge on the subject. This effort is all the more necessary because there is also a critical literature on well-being at work. Some scientists and practitioners see it as a new form of pressure on employees to make them ever more productive.
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18/06/2024  
Fifth RIPCO Research Day: Focus on Well-Being and Malaise at Work
The fifth RIPCO research day took place on the ICN campus in Paris-La Défense, on June 6, 2024. More than fifty submissions had previously been sent to the scientific committee. Thirty-five were ultimately selected and presented. They were written by 63 contributors from eight different countries. Almost all were dedicated to the focus of the day, namely "well-being/malaise at work," although the call for papers indicated that all research falling within the field of organizational behavior was potentially acceptable. This specificity allowed for the organization of twelve workshops in which there were numerous exchanges due to their strong thematic unity. Ninety-three people participated in the event. The closing conference, led by Gaëtane Caesens, professor at the University of Louvain, captivated the audience's attention. It was centered on the growing phenomenon of dehumanization at work. Given the recurring success of the RIPCO annual research days, the editorial committee of the journal is considering the idea of transforming them into a two-day academic congress.
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03/05/2024  
Artificial intelligence in organisations, how to (better) work with it?
Organisations are undergoing a significant transformation, described as the fourth industrial revolution or the era of algorithms. Artificial Intelligence (AI), defined as a technology that allows machines to reproduce human-like behaviours, plays a major role in this, with technologies now widely deployed in organisations. Machine Learning is a notable technology that enables cumulative learning from training data to create algorithmic decision support systems. These technologies are reshaping practices and processes at both team and individual levels. AI has transformed how people collaborate with algorithmic systems and how those systems interact. In recruitment, AI is used in various stages, from information extraction to automated interview analysis. "Augmented recruitment" raises questions about perceptions and behaviour with AI-integrated systems. Some managerial tasks are now automated, leading to "algorithmic management," which requires research into its impact on managers' roles and employees' attitudes. Studies on algorithmic decision systems indicate trust is a critical predictor of individuals' choices to use AI-based advice. Introducing algorithms and AI prompts organisational changes that may lead to resistance. The special issue invites contributions to enhance understanding of AI's impact on organisational behaviour. Contributions should address the consequences of AI tools on employee beliefs, perceptions, emotions, stress, and attitudes, and mechanisms influencing trust and behaviour toward AI tools. The issue seeks submissions using a variety of methodologies to explore AI's impact on organisational behaviour.
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29/04/2024  
RIPCO launches a new special issue: Sensitive Research and Organizational Behaviors - From Dilemma to Action
In organizations subjected to a highly competitive environment, with an increasingly fractured work world, the consideration of sensitive topics by companies—pertaining to ethical issues (fraud, deviance, power plays), taboos (addictions), vulnerable individuals (health conditions), disadvantaged groups (discrimination), and marginalized statuses (gray areas of employment relationships)—as well as behaviors related to private life (domestic violence) becomes as pressing as it is complex, often echoing Corporate Social Responsibility (CSR) challenges. The field of "sensitive research" helps to understand the emotional, managerial, and strategic difficulties faced by all stakeholders (executives, operational managers, employees, researchers, etc.) and to propose an operational framework to grasp the dilemmas encountered and analyze appropriate modes of action. This special issue will welcome contributions that analyze, through the lens of sensitivity, the behaviors and modes of action of actors to advance knowledge on the reality of sensitivity within organizations and the associated organizational behaviors around three main questions: How do individuals and collectives approach the dilemmas and behaviors associated with sensitive subjects in organizations? How does sensitivity lead to a reflexivity of the actors about themselves, others, and situations? To what extent does the sensitive situation lead to adjustments, adaptations, or innovations by the actors?
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Special issue : Vol. XXX, Issue CFP_SI_CLIMATECHANGE (2024)
Organizational behavior in the face of climate challenges
 Paul, SHRIVASTAVA: Elen RIOT, Franck, BIETRY
Climate change and environmental issues have become recurring topics in current debates, leading to a heightened awareness of the need to preserve the planet and its species. To address these challenges, governments, businesses, social movements, and NGOs are actively engaging in a transition towards sustainable and nature-friendly lifestyles. In this critical context, academic research plays a cr ...
 
Special issue : Vol. XXXI, Issue CFP_SI_IAORGA (2025)
Artificial intelligence in organisations, how to (better) work with it?
 Christelle MARTIN LACROUX and Fabienne PEREZ
Organisations are undergoing a significant transformation, described as the fourth industrial revolution or the era of algorithms. Artificial Intelligence (AI), defined as a technology that allows machines to reproduce human-like behaviours, plays a major role in this, with technologies now widely deployed in organisations. Machine Learning is a notable technology that enables cumulative ...
 
Special issue : Vol. XXXI, Issue CFP_SI_NORMS (2026)
Norms and organisationnal behaviour
 Pierre-Antoine Sprimont et Arnaud Eve
In a context where confusion between standards and legal regulations is common, it is essential to clarify that standards are voluntarily adopted management tools, co-constructed through consensus, designed to simplify organisational processes. Unlike laws, which are mandatory, standards offer flexibility in implementation. Some are obligatory, such as ISO 17021 for certifications, while others, l ...
 
Special issue : Vol. XXXI, Issue CFP_SI_RECHSENSOB (2025)
Sensitive research and organisational behaviour: from dilemma to action
 Emilie HENNEQUIN, Bérangère CONDOMINES, Philippe JACQUINOT, Olivier GUILLET
In organizations subjected to a highly competitive environment, with an increasingly fractured work world, the consideration of sensitive topics by companies—pertaining to ethical issues (fraud, deviance, power plays), taboos (addictions), vulnerable individuals (health conditions), disadvantaged groups (discrimination), and marginalized statuses (gray areas of employment relationships)—as well as ...
 
Special issue : Vol. XXXI, Issue CFP_SI_WELLBEING (2025)
Well-being / Ill-being at Work
 Nathalie Bernard et Virginie MOISSON
The study of well-being at work truly emerged at the turn of the 2000s when positive psychology encouraged the scientific community to study optimal human functioning (Seligman 1999) and when well-being at work measurement scales appeared (Abord de Chatillon and Richard 2015; Bietry and Creusier 2013; Dagenais-Desmarais 2010). Today, well-being at work has become a significant managerial and socie ...
 
 
 
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