Dataset Information

No Need to Worry? Anxiety and Coping in the Entrepreneurship Process.

ABSTRACT: Understanding experiences of and responses to anxiety is foundational to developing robust theories of entrepreneurial behavior. Using open-ended, vignette and graphical elicitation interviews with 77 entrepreneurs, we inductively investigate the experience of and coping responses to anxiety during the entrepreneurship process. We develop a comprehensive and dynamic goal-striving model to explain experiencing and coping with entrepreneurial anxiety by integrating empirical findings with appraisal and control theories. In doing so, we theorize that entrepreneurial anxiety is endogenous to a cyclical conception of goal-striving, such that various sources of anxiety make sense only in consideration of the goals, standards or values to which they pertain. In this regard, entrepreneurs' coping responses influence four different points of an iterative goal-striving cycle-an insight that moves beyond problematic static and binary coping classifications.

SUBMITTER: Thompson NA

PROVIDER: S-EPMC7080856 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

No Need to Worry? Anxiety and Coping in the Entrepreneurship Process.

Thompson Neil A NA van Gelderen Marco M Keppler Laura L

Frontiers in psychology 20200312

Understanding experiences of and responses to anxiety is foundational to developing robust theories of entrepreneurial behavior. Using open-ended, vignette and graphical elicitation interviews with 77 entrepreneurs, we inductively investigate the experience of and coping responses to anxiety during the entrepreneurship process. We develop a comprehensive and dynamic goal-striving model to explain experiencing and coping with entrepreneurial anxiety by integrating empirical findings with appraisa ...[more]

PMID: 32226405

Similar Datasets

Project description:IntroductionThe COVID-19 outbreak forced Italian citizens into a generalized quarantine from March to May 2020. The quarantine is a successful measure to reduce the virus's spread through physical and social distancing, but it can also have negative psychological consequences on the population. People experience high levels of worry and anxiety and have to cope with the consequences of the health emergency. The aim of this study was to preliminarily assess the causal relations among coping, worry and state anxiety at the time of COVID-19 first wave, and the mediation role of worry between coping and state anxiety.MethodsDuring March 2020, 1273 Italian citizens completed an ad hoc online survey composed of sociodemographic and preoccupation-related questions, and standardized self-report questionnaire (Brief COPE, Penn State Worry Questionnaire and State-Trait Anxiety Inventory-State form). Three separate mediation models were performed.ResultsThe relationship between coping strategies (i.e.: problem-focused coping, emotion-focused coping and dysfunctional coping) and state anxiety resulted to be mediated by worry. Dysfunctional and problem-focused coping had a negative effect on anxiety scores and this effect was amplified by high levels of worry. Emotion-focused coping reduced state anxiety scores through its effect on reducing the levels of worry, which in turn was related to a reduction in anxiety.ConclusionThe present study offers first evidence for the mediation role of worry in the relation between coping and anxiety during quarantine caused by COVID-19 pandemic. It supports the clinical importance of investigating people's coping strategies along with the levels of (cognitive) worry and their long-term effects on the psychological well-being during the outbreak, in order to deliver adequate personalized interventions. Psychological support should enhance emotion-focused coping strategies that have a protective effect on both worry and anxiety.

Dataset Information

No Need to Worry? Anxiety and Coping in the Entrepreneurship Process.

Publications

No Need to Worry? Anxiety and Coping in the Entrepreneurship Process.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets