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This study endeavors to decode the propensity for entrepreneurial action by addressing the perceptions of feasibility and desirability stemming from entrepreneurs' and non-entrepreneurs’ appraisal of holding marketing capabilities; complemented by the direct and indirect effects of market stakeholders' support, assessed as bridging or buffering the entrepreneurial action.

Three groups were formed from a random sample of 1,957 Canadian (from Quebec) respondents to an online questionnaire: non-entrepreneurs with low entrepreneurial intentions, non-entrepreneurs with high entrepreneurial intentions and entrepreneurs with high entrepreneurial intentions.

The analyses revealed salient effects of perceptions of feasibility and desirability, coupled with appraisals of possessing marketing capabilities, on entrepreneurial propensity; and their strengthened relations when obtaining stakeholders' support. Overall, the results suggest that perceived market feasibility and market desirability are prominent factors in differentiating between entrepreneurial and non-entrepreneurial action, and the type and function of stakeholders' support are prominent in differentiating between intentions.

Practical implications include facilitating the transmission of marketing knowledge to novice entrepreneurs through higher education and the ecosystem.

The authors show that perceptions of feasibility and desirability are particularly dependent on the entrepreneur's perceived marketing capabilities and perceptions of entrepreneurial ecosystem supportiveness. This study thus captures a fuller range of the intentions–action relationship by gauging the unidimensional approach to entrepreneurial action through intertwining attributes at the individual and market levels. It takes a new look at feasibility and desirability through marketing capabilities; and offers a more robust classification of stakeholders' support—institution/people, bridging/buffering. Practical implications include facilitating the transmission of marketing knowledge to novice entrepreneurs through higher education and the ecosystem.

This paper aims to study the business-specific features associated with financial distress in enterprises during the COVID-19 pandemic.

A binary logistic regression model is used to analyze a random sample of 754 companies in Jalisco, Mexico. A modified backward elimination process is used to achieve parsimony. Model robustness is reviewed by running several model selection algorithms.

Layoffs raise companies’ odds of stress by 2.9 times. Being a micro business doubles companies’ odds of stress while asking for government aid implies 1.9 times higher odds. A drop in annual sales in 2021 increases the odds of closing by 1.7 times. Companies led by female owners faced 1.6 times higher odds of stress, a similar increase in odds as in companies in the manufacturing and construction sectors. Finally, businesses aged five or fewer years were 1.5 times more likely to experience stress.

Given the study’s limited geographical scope, applying the results to broader public policy and its focalization may require external validation and deeper analysis of relevant local economic mechanisms, incentives, and constraints.

Findings support targeting public policy in disaster relief. For instance, financial aid programs may prioritize enterprises with some features that increase their risk of experiencing stress. Results also have implications for business strategies. For example, innovation or digitalization efforts in the company will serve the business better if they target improving sales and keeping the labor force.

This study contributes to closing a gap in business-specific studies on COVID-19. It underlines future research avenues, particularly in emerging issues such as heterogeneity within small business classification and gender studies.

Este artículo estudia las características específicas de las empresas asociadas a la presencia de dificultades financieras en el contexto de la pandemia de COVID-19.

Se utilizó un modelo de regresión logística binaria para analizar una muestra aleatoria de 754 empresas en Jalisco, México. Para lograr la parsimonia, se aplicó un proceso de eliminación reversa modificado. La robustez del modelo fue evaluada mediante varios algoritmos de selección de modelos.

Los despidos aumentan las probabilidades de estrés para las empresas en 2.9 veces. Ser una microempresa duplica las probabilidades de estrés, mientras que solicitar ayuda gubernamental implica 1.9 veces mayores probabilidades de estrés. Una caída en las ventas anuales en 2021 aumenta en 1.7 veces las probabilidades de considerar un cierre definitivo. Las empresas con mujeres propietarias enfrentaron 1.6 veces mayores probabilidades de estrés; se observa un aumento de estrés similar en las empresas del sector manufacturero y de la construcción. Finalmente, las empresas con una antigüedad de cinco años o menos tienen 1.5 veces más probabilidades de entrar en estrés.

Dada la limitada cobertura geográfica del estudio, la aplicación de los resultados a políticas públicas, incluida su focalización, puede requerir validación externa y un análisis más profundo de los mecanismos económicos locales relevantes, los incentivos y las restricciones.

Los hallazgos respaldan la focalización de la política pública ante desastres. Por ejemplo, los programas de ayuda financiera deben priorizar a las empresas que exhiben algunas características identificadas que aumentan su riesgo de experimentar estrés. Los resultados también tienen implicaciones para las estrategias empresariales: los esfuerzos de innovación o digitalización en la empresa servirán mejor si se enfocan en mantener o mejorar las ventas y evitar los despidos.

Este estudio contribuye a cerrar una brecha en los estudios específicos de empresas en el contexto de COVID-19 y subraya futuras líneas de investigación, particularmente en temas emergentes como la heterogeneidad dentro de la clasificación de pequeñas empresas y estudios de género.

Este artigo estuda as características específicas das empresas associadas ao estresse financeiro durante a pandemia de COVID-19.

Um modelo de regressão logística binária foi utilizado para analisar uma amostra aleatória de 754 empresas em Jalisco, México. Para alcançar a parcimônia, foi aplicado um processo de eliminação regressiva modificado. A robustez do modelo foi revisada por meio de vários algoritmos de seleção de modelos.

Demissões aumentam as probabilidades de estresse para as empresas em 2,9 vezes. Ser uma microempresa dobra as probabilidades de estresse, enquanto solicitar ajuda governamental implica 1,9 vezes maiores probabilidades. Uma queda nas vendas anuais em 2021 aumenta em 1,7 vezes as probabilidades de fechamento. As empresas lideradas por uma proprietária enfrentaram 1,6 vezes maiores probabilidades de estresse; um aumento similar nas probabilidades às empresas dos setores de manufatura e construção. Finalmente, empresas com idade de cinco anos ou menos tinham 1,5 vezes mais probabilidades de entrar em estresse.

Dada a limitada abrangência geográfica do estudo, a aplicação dos resultados a políticas públicas, incluindo sua focalização, pode exigir validação externa e uma análise mais aprofundada dos mecanismos econômicos locais relevantes, dos incentivos e das restrições.

Os achados apoiam a orientação da política pública no auxílio em desastres. Por exemplo, programas de ajuda financeira devem priorizar as empresas que apresentam algumas características que aumentam seu risco de experimentar estresse. Os resultados também têm implicações para estratégias empresariais: esforços de inovação ou digitalização na empresa servirão melhor se focarem em melhorar as vendas e manter a força de trabalho.

Este estudo contribui para preencher lacunas em pesquisas específicas sobre empresas e COVID-19, destacando futuras linhas de investigação, como a heterogeneidade na classificação de pequenas empresas e estudos de gênero.

The logic models at the center of leading environmental, social and governance (ESG) reporting programs, such as the global reporting initiative, impose a dualistic relationship between organizations and social-ecological systems. Coupled with the lack of a real-world alternative, their dualistic approach results in widespread systems thinking-based reducibility errors in business responsibility. To help develop a nondualistic alternative, this study aims to present the idea of neltilistli or “rootedness,” as developed by the ancient Nahua indigenous peoples of Central Mexico. From the perspective of the Nahua, rootedness involves a holistic relationship with one’s body, community and the creative force called “teotl.”

The authors draw on the past to speculatively theorize an imagined future using the method of prospective theorizing to draw on a historical social context that is largely missing from current management scholarship. In doing so, the authors engage in a process of imagining a radically different future reality.

Integrating a rootedness approach into ESG reporting, particularly in terms of stakeholder relations, enriches it both spatially and temporally. This approach allows researchers and practitioners to replace dualistic thinking with a more holistic approach.

This paper complements the dualistic assumptions behind ESG reporting programs with a holistic approach based on the rootedness concept of ancient Nahua thought.