Entrepreneurship Bias and the Mass Media: Evidence from Big Data

Suárez, Juan Luis; White, Roderick E.; Parker, Simon C.; Jiménez-Mavillard, Antonio

doi:10.5465/amd.2018.0177

Cited by 19 publications

(9 citation statements)

References 46 publications

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“…Third, we hope that our findings about the impact that crises have on the wellbeing of entrepreneurs will encourage policy makers to help de-stigmatize this important topic. Entrepreneurs are all too often depicted as heroic and successful (Suàrez et al, 2020), and a more honest conversation about wellbeing will help encourage them to look after their own mental health. This will also help investors safeguard the investments that they make in these entrepreneurs and ultimately benefit the economy by enhancing entrepreneur productivity (e.g., Stephan, 2018).…”

Section: Discussionmentioning

confidence: 99%

Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic

Stephan

Zbierowski

Pérez‐Luño

et al. 2022

Entrepreneurship Theory and Practice

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How can entrepreneurs protect their wellbeing during a crisis? Does engaging agility (namely, opportunity agility and planning agility) in response to adversity help entrepreneurs safeguard their wellbeing? Activated by adversity, agility may function as a specific resilience mechanism enabling positive adaption to crisis. We studied 3162 entrepreneurs from 20 countries during the COVID-19 pandemic and found that more severe national lockdowns enhanced firm-level adversity for entrepreneurs and diminished their wellbeing. Moreover, entrepreneurs who combined opportunity agility with planning agility experienced higher wellbeing but planning agility alone lowered wellbeing. Entrepreneur agility offers a new agentic perspective to research on entrepreneur wellbeing.

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Section: Discussionmentioning

confidence: 99%

Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic

Stephan

Zbierowski

Pérez‐Luño

et al. 2022

Entrepreneurship Theory and Practice

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show abstract

“…Ainda usando a rede social, Pagotto, Barbosa, et al (2022) analisaram os sentimentos associados a tweets de empreendedores nos primeiros períodos da pandemia da Covid-19. Experiências prévias também incluem extração e análise de textos da grande mídia como os jornais The New York Times e Financial Times para avaliar as diferenças do teor de publicações sobre empreendedores e empresários (Suarez et al, 2020), assim como análise de áudio e vídeo de plataformas de financiamento coletivo para prever o sucesso das campanhas de levantamento de recursos (Kaminski & Hopp, 2020).…”

Section: Fontes De Dados Secundários Para Pesquisas Em Empreendedorismounclassified

Pesquisa quantitativa em empreendedorismo e o apoio do software R para análise de dados

Pagotto

Borges

2023

REGEPE Entrep. and Small Bus. J.

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Objetivo do estudo: o presente texto visa apresentar um panorama sobre pesquisa quantitativa em empreendedorismo no Brasil, bem como descrever possibilidades para o avanço desta abordagem. Metodologia e abordagem: o artigo consiste em uma publicação conduzida a partir de levantamentos bibliográficos na literatura científica de empreendedorismo e discussões teóricas. Principais Resultados: maior parte das pesquisas nacionais em empreendedorismo são de natureza qualitativa. Apesar da relevância desta abordagem, acredita-se que a pesquisa quantitativa possui múltiplas potencialidades, sobretudo associada ao uso de dados oriundos de fontes secundárias. Principais Contribuições teóricas e metodológicas: apresentamos bases de dados públicas que podem ser empregadas por pesquisadores de empreendedorismo para avançar na teoria. Algumas estratégias de uso destas bases são exemplificadas por meio de um breve tutorial em linguagem R. Finalmente, debatemos acerca de estratégias para robustecer pesquisas quantitativas da área, bem como trazemos uma agenda de pesquisa. Relevância/Originalidade: são apresentados conteúdos que ainda são pouco explorados na literatura nacional, como o uso de dados secundários e machine learning. Contribuições sociais e gerenciais: algumas das bases apresentadas no estudo são de fonte governamental e podem ser utilizadas para fundamentar a construção de políticas públicas para o empreendedorismo. Ademais, os preceitos sobre pesquisa quantitativa apresentados neste editorial podem apoiar gestores que atuam com análises de dados na formulação de estudos mais robustos, independente da área de atuação, seja prático ou acadêmico.

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“…As highlighted by Pollack et al (2019), crowdfunding research based on big data and AI is a concrete example where easy access to data (e.g., text data from crowdfunding campaigns and platforms) and the ease by which these large volumes of data can be analyzed (e.g., with AI techniques for computerized text analysis) could seduce researchers in this field to remain at a descriptive level, underestimate the importance of—and thus fail to perform—careful validity checks of data and analyses, and to make only minor conceptual and empirical contributions to the field. Similarly, an increasing number of studies analyze traditional and social media data but offer no concrete theoretical contributions (e.g., Suàrez et al, in press), which could be counterproductive if contributions to theory remain at the heart of entrepreneurship research.…”

Section: Integrating Ai With Entrepreneurship Theory Building and Tes...mentioning

confidence: 99%

Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence

Lévesque

Obschonka

Nambisan

2020

Entrepreneurship Theory and Practice

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It is time for the entrepreneurship field to come to terms with leading-edge artificial intelligence (AI). AI holds great promise to transform entrepreneurship into a more relevant and impactful field, but it must overcome conflicts between the AI-driven research approach and that of the traditional, theory-based research process. We explore these opportunities and challenges and suggest concrete approaches that entrepreneurship researchers can use to harness the power of AI with rigor and enhance research relevance. We conclude that incorporating the power of AI in entrepreneurship research and managing the associated risks offer a new and “grand challenge” for the field.

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Entrepreneurship Bias and the Mass Media: Evidence from Big Data

Cited by 19 publications

References 46 publications

Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic

Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic

Pesquisa quantitativa em empreendedorismo e o apoio do software R para análise de dados

Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence

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