Entrepreneurial resilience of small and medium-sized businesses among rural women in Iran

Rezaei-Moghaddam, Kurosh; Badzaban, Fatemeh; Fatemi, Mahsa

doi:10.1080/1389224x.2021.1985539

Cited by 7 publications

(1 citation statement)

References 23 publications

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“…Additionally, Palm (2020) argued that organisations that effectively align their strategic, risk management, and business continuity functions to mitigate the impact of adverse events on growth are inherently equipped with the capacity for resilience. In order to enhance the resilience of small businesses and entrepreneurs, it is crucial to identify key factors and their corresponding indicators, to examine the factors that contribute to the development of resilient behaviours, and to establish contexts that are resistant to change (Rezaei-Moghaddam et al, 2021). Hence, organisations that possess resilience have the ability to swiftly restore operational continuity in the event of a disruption or extended interruption.…”

Section: Resilience Strategies For Overcoming Chaos Uncertainty and D...mentioning

confidence: 99%

Examining stakeholder perceptions on local economic development and implementation: a case study of uMgungundlovu District Municipality.

Makhaye

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Section: Resilience Strategies For Overcoming Chaos Uncertainty and D...mentioning

confidence: 99%

Examining stakeholder perceptions on local economic development and implementation: a case study of uMgungundlovu District Municipality.

Makhaye

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Prognosis of entrepreneurial traits among agricultural undergraduate students in India using machine learning

Jarial

Verma²

2023

JADEE

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PurposeThis study aimed to understand the agri-entrepreneurial traits of undergraduate university students using machine learning (ML) algorithms.Design/methodology/approachThis study used a conceptual framework of individual-level determinants of entrepreneurship and ML. The Google Survey instrument was prepared on a 5-point scale and administered to 656 students in different sections of the same class during regular virtual classrooms in 2021. The datasets were analyzed and compared using ML.FindingsEntrepreneurial traits existed among students before attending undergraduate entrepreneurship courses. Establishing strong partnerships (0.359), learning (0.347) and people-organizing ability (0.341) were promising correlated entrepreneurial traits. Female students exhibited fewer entrepreneurial traits than male students. The random forest model exhibited 60% accuracy in trait prediction against gradient boosting (58.4%), linear regression (56.8%), ridge (56.7%) and lasso regression (56.0%). Thus, the ML model appeared to be unsuitable to predict entrepreneurial traits. Quality data are important for accurate trait predictions.Research limitations/implicationsFurther studies can validate K-nearest neighbors (KNN) and support vector machine (SVM) models against random forest to support the statement that the ML model cannot be used for entrepreneurial trait prediction.Originality/valueThis research is unique because ML models, such as random forest, gradient boosting and lasso regression, are used for entrepreneurial trait prediction by agricultural domain students.

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Organizational Ambidexterity and Public Policy Support as Determinants of Business Resilience Among SMEs in Medan, Indonesia: Findings From Regression and fsQCA

Sitinjak

Malau

Silalahi

2022

2022 7th International Conference on Business and Industrial Research (ICBIR)

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Entrepreneurial resilience of small and medium-sized businesses among rural women in Iran

Cited by 7 publications

References 23 publications

Examining stakeholder perceptions on local economic development and implementation: a case study of uMgungundlovu District Municipality.

Examining stakeholder perceptions on local economic development and implementation: a case study of uMgungundlovu District Municipality.

Prognosis of entrepreneurial traits among agricultural undergraduate students in India using machine learning

Organizational Ambidexterity and Public Policy Support as Determinants of Business Resilience Among SMEs in Medan, Indonesia: Findings From Regression and fsQCA

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