Charlotta Siren
Title
Prof. Dr.
Last Name
Siren
First name
Charlotta
Email
charlotta.siren@unisg.ch
ORCID
Phone
+41 71 224 72 13
97 results
Now showing 1 - 10 of 97
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Interplay Between Affective Trait and State Diversity on Team Learning and Performance; ; ;Treffers, TheresaType:journal article - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, CEO burnout, managerial discretion, and firm performance: The role of CEO locus of control, structural power, and organizational factors(Elsevier); ;Patel, Pankaj ;Örtqvist, DanielType:journal articleJournal:Long Range Planning LRPScopus© Citations 53 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Poker face and steady voice: Gender and reactions to emotional neutrality in crowdfunding(2026-06); ;Williams, Charles; While emotional neutrality (e.g., maintaining a neutral face, speaking with a calm voice) can help entrepreneurs project a sought-after image of rationality, the effectiveness of such displays is context-dependent and gendered. In the emotionally resonant world of crowdfunding, the value of neutrality is ambiguous, as it may conflict with audience expectations of expressiveness. Building on the Emotions as Social Information (EASI) model, we argue that equivalent neutral cues from men and women are evaluated differently. Using pre-trained machine-learning algorithms to extract facial and vocal features from 548 crowdfunding videos, we examine how neutrality in pitches relates to funding success. We find that a neutral facial expression (“poker face”) is penalized for women but has no discernible effect for men. In contrast, a neutral vocal tone lowers success for both sexes; however, further analysis reveals this penalty is concentrated in male-typed categories (e.g., technology, design) and largely absent in female-typed categories (e.g., fashion, craft). Our findings highlight that crowdfunding backers interpret emotional neutrality through the combined lens of gender and pitch context, which may create biases in entrepreneurial evaluation.Type:journal articleJournal:Journal of Business Venturing InsightsVolume:25 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Appearance-Based Legitimate Distinctiveness: Founder Attractiveness, Gender, and Venture Evaluations(SAGE Publications, 2026-09-28); ; ; ; This study proposes a way to reconcile the beauty premium and beauty-is-beastly arguments by suggesting that founder appearance is processed through two separable and countervailing channels: perceived legitimacy and perceived distinctiveness. We further theorize that in startups, the relationship is gendered, because women do not fit the entrepreneurial prototype, limiting their perceived legitimacy. A field study of 359 founders supports our theorizing that male founders are evaluated best when moderately attractive, while female founders see no significant attractiveness effects. A preregistered experiment with 771 participants, using AI-manipulated attractiveness, does not confirm these patterns but supports our theorizing about both mediators.Type:journal articleJournal:Entrepreneurship Theory and Practice - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Do managerial traits matter in corporate lobbying? Evidence from overconfident CEOsDo overconfident chief executive officers (CEOs) misjudge the political risks faced by their firms and, as a result, reduce their engagement in corporate lobbying? We examine this question by comparing the lobbying activities of firms led by overconfident CEOs with those led by nonoverconfident peers. Using a sample of 1369 U.S. firms from 2002 to 2023, we find that overconfident CEOs invest significantly less in corporate lobbying than nonoverconfident CEOs. This finding is robust across a wide range of alternative measures and model specifications. Our identification strategy exploits exogenous CEO turnover events and matched-sample regressions. Cross-sectional analyses further indicate that overconfident CEOs do not view lobbying as a risk-reducing response to political uncertainty. Overall, the results are consistent with CEO overconfidence bias: overconfident CEOs place excessive reliance on their own abilities and underutilize lobbying as a safeguard against political risk.Type:journal articleJournal:Journal of Banking & FinanceVolume:188Issue:107704 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Crowd Evaluations of Entrepreneurs with Physical Disabilities: Stereotype Subtyping through the Lens of Benevolent AbleismWe investigate how crowds evaluate pitches by entrepreneurs with versus without physical disabilities. Leveraging stereotype subtyping, we argue that entrepreneurs with physical disabilities are evaluated as a distinct subtype, rather than as people with disabilities or as conventional entrepreneurs. We hypothesize that benevolent ableism shapes how this subtype is evaluated, inflating both warmth and competence perceptions. Three experiments support our hypotheses, and key informant conversations with professional investors and entrepreneurs with disabilities corroborate the proposed mechanisms. Our findings contribute to unconventional entrepreneurship research by examining how bias can manifest as patronizing positivity rather than overt negative discrimination.Type:journal articleJournal:Entrepreneurship Theory and PracticeScopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Algorithmic Facial Expression Analysis: A Novel Methodology to Advance Management Research on EmotionsWith the rapid advancement of artificial intelligence technologies, algorithmic facial expression analysis (AFEA) has emerged as a promising methodology to measure emotions. Despite rapid adoption across management subfields, however, the full scope of AFEA’s theoretical potential remains underexplored. This paper provides a framework that links the AFEA measurement innovation to major opportunities for theoretical advancement around emotions in organizations. We start by describing the methodological basis of AFEA and reviewing its applications in management research to date. We then outline two core capabilities of AFEA—namely, capturing the temporal structure of emotions and detecting inauthentic expressions of emotions—and illustrate how these capabilities can enable theory advancement in management research. After presenting an empirical demonstration of AFEA’s capabilities and a practical step-by-step guide for using it, we conclude by discussing key considerations for realizing the future potential of AFEA research.Type:journal articleJournal:Academy of Management JournalVolume:69Issue:4Scopus© Citations 1