Perceptual variables and intentions to start-up: a stochastic frontier analysis

Abstract

Purpose

The objective of this paper is to advance research concerning the factors affecting the intentions to start-up. In this vein, scholars are more and more interested in perceptual variables, i.e. subjective perceptions that may affect individuals’ intentions to start-up. These can have an internal locus of control (PVIs), if they depend on personal cognitive styles, or an external locus of control (PVEs), if they depend on how individuals perceive environmental stimuli. Usually, scholars investigate them at a micro-level of analysis, by focusing on individuals in a country. Instead, this paper adopts a macro-level analysis. Thus, the research question at the basis of this paper is: whether the impact of perceptual variables (with an internal or external locus of control) on the intentions to start-up varies across countries.

Design/methodology/approach

Stochastic frontier analyses – SFAs are carried out since they allow disentangling technical and random inefficiencies and comparing statistical results. SFAs are based on data retrieved from the Global Entrepreneurship Monitor – GEM website and refer to PIGS (Portugal, Italy, Greece, and Spain) and BRICs (Brazil, Russia, India, and China) countries where entrepreneurship is a vibrant phenomenon, but cultural and economic differences are manifest.

Findings

Concerning the drivers of entrepreneurship, achieved results reveal that some differences exist across PIGS and BRICs countries, but they cannot be generalized so easily.

Originality/value

This paper reveals its originality in reference to the classification of the variables, the macro-level of analysis, and the results that – at the same time – are in line with previous ones, but also offer new insights about perceptual variables in entrepreneurship and – at a wider extent – about the drivers of entrepreneurship.

Citation

Matricano, D. (2024), "Perceptual variables and intentions to start-up: a stochastic frontier analysis", Management Decision, Vol. 62 No. 12, pp. 3817-3835. https://doi.org/10.1108/MD-08-2023-1358