According to Gibrat's Law of Proportionate Effect, the growth rate of a given firm is independent of its size at the beginning of the period examined. While earlier studies tended to confirm the Law, more recent research generally rejects it. This paper reconciles these two streams of...

The hypothesis underlined in this paper is that apart from infant mortality there is another relevant phenomenon taking place within new-born Small Business Enterprises (SBEs) in the period immediately after entry; namely that the smaller ones among them, having entered with a marked sub-optimal...

The aim of this paper is to find which of two theories of capital structure - trade-off theory or pecking order theory - best explains the capital structure decision of non-state firms during the post-transition process in Viet Nam. We also investigate the effect of human capital, institutional...

This paper provides evidence on the mechanisms influencing the patent output of a sample of biotechnology firms from the input of indirect knowledge acquired from capital expenditures and direct knowledge from in-house R&D. Statistical models of counts are used to analyse the relationship...

We focus on both individual and local uncertainty to explain the innovation potential of entrepreneurs in the NUTS1 UK regions in 2005 and 2009. The ‘potential surprise function’ (Shackle, 1949) clarifying why sometimes promising business choices are truncated is taken as a determinant of an...

This paper investigates the rationales for the successful economic transition in Vietnam by applying organizational ecology theory. We claim that Vietnam could achieve a smooth transition because the country preserved the strong institutional capacity of the state in parallel with an instant...

The recent SARS-Cov-2 pandemic has contributed to several corporate crises. As a result, many Small- and Medium-Sized Enterprises (SMEs) in Italy have filed for bankruptcy in the first quarter of 2020. In addition to a gigantic macroeconomic effect, the lockdown has impacted individuals to a...

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this papers aims to map the current knowledge base centred on robotics and AI technologies. These technologies will be investigated both...