Where Do We Go From Here? The Survival and Recovery of Black-Owned Businesses Post-COVID-19

  • 0Mills College, Oakland, CA, USA.
Humanity & Society +

|

|

Summary

This summary is machine-generated.

This study introduces a "Fourth Dimension" strategy to overcome race-based economic disparities for Black-owned businesses. It emphasizes community-supported market engagement to foster thriving business communities and economic vibrancy.

Area Of Science

  • Social Sciences
  • Economics
  • Business Administration

Background

  • Persistent race-based economic disparities hinder business ownership in communities of color.
  • Existing research highlights the need for capital, education, and market access for business sustainability.

Discussion

  • This research identifies an essential "Fourth Dimension" to foster thriving, socially oriented Black-owned business communities.
  • The "Fourth Dimension" involves a collaborative, community-oriented social growth strategy.

Key Insights

  • A tailored approach is needed to address unique barriers faced by businesses of color.
  • Enhanced cooperative and community-supported market engagement is crucial for Black-owned businesses.

Outlook

  • The proposed strategy aims to spur the development of sustainable and socially conscious Black-owned businesses.
  • This research provides a framework for addressing economic inequities and fostering community economic vibrancy.

Related Concept Videos

Cancer Survival Analysis 01:21

345

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

Assumptions of Survival Analysis 01:15

125

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.

Survival Times Are Positively Skewed
 Survival times often exhibit positive skewness, unlike the normal distribution assumed...

Conservation of Small Populations 02:04

13.1K

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...

Comparing the Survival Analysis of Two or More Groups 01:20

179

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...

Stress Prevention and Stress Management Techniques V 01:28

31

A social support system is a structured network of personal relationships that provides assistance to individuals facing various challenges, offering a buffer against psychological and physical stressors. This network may consist of family members, friends, neighbors, colleagues, or other community members who provide resources and companionship. Social support can take many forms, including advice, emotional comfort, practical help, and companionship. Research indicates that these networks can...

Survival Tree 01:19

84

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...