Abstract

AbstractEntrepreneurial innovation is a complex phenomenon. Experimenting with research designs that could claim some degree of generalizable linking between the individual and external influencing factors is challenging. However, progress even in research niches can contribute to a more structured understanding of the process. This article focuses on the first stages of entrepreneurial innovation, using a novel questionnaire design. Responses were collected from two Hungarian universities (147 and 127 responses, respectively) and analysed using Structural Equation Modelling. The results confirm that entrepreneurial innovation success in the early stage is shaped by macro-level factors, which have an influence on risk perception through locus of control. The paper makes two contributions, demonstrating (1) the possibility of using questionnaire survey for analysing multiple levels if the narrative is under control, and (2) how individual entrepreneurs approach the start of their innovation-based business, upon which personality and environmental factors both have significant impact.

Highlights

  • Innovation is a highly uncertain, complex and multilevel phenomenon involving individual, organisational, cultural and various systemic contexts

  • The results confirm that entrepreneurial innovation success in the early stage is shaped by macro-level factors, which have an influence on risk perception through locus of control

  • The paper makes two contributions, demonstrating (1) the possibility of using questionnaire survey for analysing multiple levels if the narrative is under control, and (2) how individual entrepreneurs approach the start of their innovation-based business, upon which personality and environmental factors both have significant impact

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Summary

Introduction

Innovation is a highly uncertain, complex and multilevel phenomenon involving individual, organisational, cultural and various systemic contexts. Considering the multiple contexts during micro-level measurement, delineation of the causes and effects during the process of innovation are methodologically challenging. There are only a few attempts at the individual level of enquiry, which, at the same time, take into consideration the multiple contexts and their potential impacts on innovation (Meyer – Goes 1988; Hueske et al 2015 are two examples). The fundamental uncertainty of projects; the second is the speed to move quickly before somebody else does; and third, the resistance to new ways at all levels of society. These aspects explain why one does not know in advance whether an innovation will make its way in the real world. There are many uncertainties (Jalonen 2012), which make the decisionmaking like ‘driving in the fog’ (Tidd – Bessant 2013)

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