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Collectively Committing to ‘What Is Interesting’ in Qualitative Research: A methodological application of interactional sociolinguistics
No full textInternational audienceAlthough selecting aspects of empirical phenomena to investigate is of fundamental importance in qualitative research projects, we lack insight into how research teams navigate this challenge during the research process. In this paper, we address this lacuna by introducing an interactional sociolinguistic methodology to examine a series of real-life discussions by a qualitative research team over a three-year period. We identify four core types of commitments that are interactionally co-constructed: straightforward commitments, uncertain commitments, repeated commitments and withheld commitments. These enable research teams to maintain openness while narrowing their focus to ‘what is interesting’ in the nexus of the observed field and academic discourse. Based on our findings, we present an interactional sociolinguistic model of collective commitments to ‘what is interesting’ in qualitative research. Our work offers new insight into how research teams engage with complex methodological challenges and contributes to the methodological richness of qualitative organizational research by demonstrating how interactional sociolinguistics can be used to unpack the linguistic practices through which shared direction emerges in team-based organizing
Decoding evidence-based entrepreneurship: A systematic review of meta-analytic choices and reporting
No full textInternational audienceMeta-analysis—the statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings substantially contributes to paradigm development in the field of entrepreneurship. Notably, a number of choices are made when conducting a meta-analysis. Many of these choices have implications for the interpretation of the results, affecting one of the core aims of meta-analysis, that is, to generate generalizable best evidence. To better understand meta-analysis evidence in the field of entrepreneurship it is essential to understand how these meta-analyses are conducted, what type of methodological choices have been made and communicated, and how these choices affect the interpretation of findings. To address these issues, we performed a content analysis of 90 meta-analyses up to 2021 and investigate 74 methodological choices made by the authors. We identify and offer suggestions for future practice in seven areas: the study location strategy, the use of a second coding, the assessment of heterogeneity, multivariate analysis, quality checks, the violation of assumptions, and the interpretation of meta-analytical findings. In so doing, we hope to contribute to best practices and to the legitimacy of validity generalization in the domain of entrepreneurship research. Moreover, we provide a comprehensive and evidence-based understanding of the interpretation and implications of meta-analysis practices for theory building and testing and scholarly impact
Lead Investor Nominee in Equity Crowdfunding
No full textInternational audienceThe lead investor nominee structure in equity crowdfunding (ECF) integrates the strengths of the pure ECF and angel ECF models. By committing their own capital, lead investors address two key challenges: mitigating adverse selection through thorough due diligence and reducing moral hazard by monitoring the firm post‐campaign to secure returns. The digital nominee governance structure ensures equal ownership and voting rights for all investors, resolving potential conflicts between angels, accredited investors and the crowd. This model fosters collaboration between professional investors and the crowd, leveraging their respective strengths. Analysis of extensive UK data shows that nominee ECF campaigns outperform direct ownership campaigns in both the short and long term. These findings provide valuable governance insights for platform managers and policymakers
Is it the end of the world as we know it? Apocalyptic reflexivity in and around organizations
No full textInternational audienceThe main aim of this essay is to encourage organizational scholars to engage with the notion of the apocalypse in a theoretically novel and insightful way. Despite a growing interest in theories about possible futures and the end of the world as we know it, scholars have so far mainly focused on the catastrophic implications of the notion, overlooking its generative potential. We have thus devised a specific approach to help organizational researchers in thinking through and navigating the apocalypse. Building on the idea of ‘apocalyptic reflexivity’, we illustrate the possibilities related to cultural analysis, speculation, and action opened up by the apocalypse, together with their implications for all those interested in studying, understanding, and changing contemporary organizational dynamics
Récits politiques et réglementaires de l’intelligence artificielle : une étude comparative
No full textInternational audienceAlthough the impacts of artificial intelligence (AI) on the market, the economy, or customers are often studied, little is known about how governments support the use of AI through policy and regulation narratives. We undertake a textual analysis of 936 national and regional AI policies implemented in 70 countries/regions and focus on AI strategies. Computational text analyses led to the identification of three dimensions of AI government discourses and enabled us to conceptualize three symbolic strategic orientations. These results contribute to a better assessment of the different government approaches to AI governance. This research also contributes to a better understanding of how governments frame their technological and strategic orientations, offering important insights to both the information systems and administration fields
Do Factor Models Capture Both Sentiment and Limited Attention?
No full textInternational audienceWe demonstrate that valuation uncertainty and information arrival are critical stock characteristics determining whether individual factors in leading factor models are influenced by sentiment or limited attention. Therefore, the ability of a factor model to explain cross-sectional stock returns depends on including two distinct types of factors: those that capture sentiment and those that tackle limited attention. Yet, many leading factor models include factors for sentiment but fall short in incorporating factors for limited attention. Our findings are important, guiding future research towards developing new factor models that more effectively capture both sentiment and limited attention compared to existing models. This includes uncovering powerful factors capable of simultaneously capturing sentiment and limited attention
I Can('t) Talk About It At Work: Stigma Entanglement and the Epistemic Vulnerability Paradox
No full textInternational audienceABSTRACT Pregnancy loss in the workplace is a common yet hidden experience. Why? In this conceptual essay, I use my embodied experiences of miscarrying at work and my reluctance to research this phenomenon to develop the concept of an epistemic vulnerability paradox. I contribute to the pregnancy loss in the workplace, social construction of knowledge, and personally relevant research literatures by demonstrating how the confrontation to an entanglement of stigmas involving multiple identities, including that of ideal researcher, leads to a cycle of epistemic silencing. This silencing may be more pronounced in fields like business‐academia in which there are not only very gendered ideal worker norms but also strong taboos around “appropriate” methodologies. Drawing on ethics of care as a theory and practice, researchers have a moral obligation to address epistemic needs created by such silences. Engaging in epistemic care work, however, leaves researchers vulnerable to the very stigma that they explore, especially when the research is personally relevant. Working through this paradox, I argue, involves accepting vulnerability not only as an openness to helping and being helped but also to harm and being harmed; a premise that has implications for research ethics
Assessing systemic importance using multilayer dynamic networks: Evidence from China’s stock market
No full textInternational audienceThis study develops a multilayer dynamic network framework to evaluate the systemic importance of 348 firms listed in China's A-share market over the period 2010-2021. By employing the maximum mutual information coefficient (MIC), the model captures both linear and nonlinear interdependencies, integrating firm-specific tail risk indicators and tradingbased metrics. Topological analysis of the network, including connectivity, clustering, and centrality measures, reveals structural drivers of systemic risk propagation. The results show that firms with high centrality and interconnectedness disproportionately amplify systemic vulnerabilities, underscoring their critical roles in financial stability. The multilayer dynamic framework significantly enhances the precision of systemic risk assessment compared to traditional single-layer models. This study contributes to systemic risk literature by extending advanced network methodologies to emerging markets and offers actionable insights for policymakers and regulators to design effective risk mitigation strategies
« Explore et deviens » : comprendre le façonnement de la transition identitaire dans le cadre de la réadaptation à l'emploi"
No full textInternational audienceCet article analyse l'accompagnement de la transition identitaire des personnes en situation de handicap participant à un dispositif de réadaptation à l'emploi. Il étudie la manière dont le dispositif organise la transition via trois phases : un détachement vis-à-vis des identités impossibles, une exploration induite des identités préférables et un recentrage vers des identités adéquates. Ces phases caractérisent l'amorçage et le développement d'un travail identitaire régulé, agrémenté par une forme paradoxale de jeu identitaire induit.L'article complète la littérature sur la transition identitaire en montrant comment l'environnement de la réadaptation participe à la régulation identitaire des stagiaires. Il contribue également à la littérature sur la régulation identitaire indiquant comment le passage par une forme paradoxale de jeu identitaire régulé, facilite l'acceptation des attentes du marché du travail.</div
Theorizing the Processes and Practices of Entrepreneuring at Work
No full textInternational audienceAs the boundaries of ‘work’ extend to include work that adapts to or brings about new organization, social value and alternative futures, it intersects with entrepreneurship studies in intriguing yet under-developed ways. This special issue focuses on developing this intersection by advancing process and practice theory research on entrepreneuring. Entrepreneuring is a concept that captures the processuality and relationality of entrepreneurship, and its emancipatory potential, that occurs amidst existing organizational conditions of work. Entrepreneuring thus poses hitherto missing questions relating to how new forms of work are actually enacted in concrete practices, the tensions from which it emerges and that it triggers, the ambivalence it conveys, and the metamorphoses it goes through. In turn, entrepreneuring conceives of work as fluid and permeated by open-ended possibility, providing space for scholars of entrepreneurship, work and organization to come together to ‘imagining-with’ practitioners alternative political, social, technological and ecological futures that have yet to come into being. The articles in this special issue illuminate the various processes and practices of entrepreneuring at work and provide novel conceptualizations, vocabularies, and methodologies that can advance this budding but increasingly important domain of research and practice