Entrepreneurship Viability
This chapter attempts to discuss the life span of entrepreneurial activities across the GEM member countries. The motivation, objectives, and background of this chapter will be addressed throughout the next subsections in detail. Additionally, the data us
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Entrepreneurship Viability
This chapter attempts to discuss the life span of entrepreneurial activities across the GEM member countries. The motivation, objectives, and background of this chapter will be addressed throughout the next subsections in detail. Additionally, the data used in this chapter is on the basis of the overall time (from start to failure) of entrepreneurial activities which has been elicited from the reliable GEM dataset. Stringent requirements (like the quality of products and services) and high expectations on businesses’ credit (e.g., viability or durability) by public demands encourage researchers to study the reliability of businesses. Doing so entails a creditworthy dataset that measures the lifetime of business activities. Additionally, it is necessary to apply statistical models to study the changes and trends of the lifetime of entrepreneurship across considered countries. Lifetime data analysis is commonly utilized to assess product reliability, too. The traditional lifetime data analysis methods offer several parametric lifetime distributions such as exponential, Weibull, and lognormal on the failure time data collected by whether “field operation” or “lifetime testing” ways. Maximum likelihood (ML) method and the Bayesian approach may be applied to estimate the unknown parameters to make reliable decisions. The parametric method follows a restrictive assumption. In some circumstances, it may be difficult to specify a precise parametric model for the failure time distribution. For example, modern complex systems usually result from multiple/ mixture failure models, so the use of simple lifetime distributions will be improper to model the failure times of such intricate systems. For products that need emerging of advanced technology, such as nanotechnology, we are unfamiliar with their failure mechanisms at the nano or atomic level. By considering entrepreneurship as a complex phenomenon that substantially influences the economic cycle of the country which is under the effect of the individual and environmental factors, it can claim that this phenomenon is a complex and unclear system that its impact on the life quality of communities is undeniable.
© The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020 N. Faghih et al., Entrepreneurship Viability Index, Contributions to Management Science, https://doi.org/10.1007/978-3-030-54644-1_3
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3 Entrepreneurship Viability
Our goal in this chapter is to identify some of the idiosyncratic characteristics of entrepreneurial activities that will lead a country toward a more advanced situation and a sustainable economy. Likewise, our main approach in this chapter is the assessment of the lifetime of businesses that are launched in GEM member countries. Hence, this chapter encompasses the study of viable/durable businesses which may, from the view of policymakers and researchers, lead to economic growth. Accordingly, all of the goals considered in this chapter are to generate a lifet
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