The key determinants of entrepreneurial success for young entrepreneurs in the Casablanca-Settat region of Morocco?

Résumé

Abstract

Our research aims to understand how young entrepreneurs in the Casablanca-Settat region of Morocco succeed in their businesses. To achieve this, we draw on several theoretical models that have been developed by recognized researchers in the field of entrepreneurship, such as Kessler, Ahmad and Hoffman, Lasch et al., and Hannu Littunen.

The model we have developed aims to explain entrepreneurial success by focusing on three essential dimensions. Firstly, the entrepreneur's profile is an important factor in the success of their business. Therefore, we study the personal characteristics of the entrepreneur, such as their level of education, work experience, motivation, creativity, leadership, risk-taking ability, and tolerance for ambiguity. Secondly, we examine the business environment. External factors such as financial resources, regulations, competition, partnerships, and customer relationships can also have a significant impact on entrepreneurial success. Therefore, we analyze how these factors can affect the business's performance. Finally, we evaluate the preparedness for business creation. This dimension refers to the strategies, skills, and resources that the entrepreneur uses to prepare for the creation and development of their business. We examine how the entrepreneur uses these resources to anticipate risks, identify opportunities, and develop an effective strategy for their business creation.

The Casablanca-Settat region was selected due to its prominent role in Moroccan economics, leading in investments and new business creation in 2021. The study took place during the Covid-19 pandemic, making comparisons with other regions impractical. A sample of 220 respondents was chosen to align with the study's objectives and specificity. The hypothetico-deductive method was employed to analyze and explain entrepreneurial success factors.  A theoretical model with hypotheses was developed and tested using structural equation modeling (AMOS 23). The approach is positivist, relying on quantitative data to validate hypotheses formulated beforehand.