Abstract
Small and medium sized enterprises (SME) are tasked with driving economic recovery globally, in terms of contribution to economic growth. Understanding the determinants of SME innovation is essential in clarifying this phenomena. This study investigates the link between SME strategies and intention to undertake future innovation, using Federation of Small Businesses data. The analysis employs the novel N-State Classification and Ranking Belief Simplex (NCaRBS) technique, investigating relationships between changes in SME strategies, including Staffing Levels, Importing/Exporting and Client Base, and future (including uncertain) innovation intentions. NCaRBS can analyse an incomplete data set, with missing values in the considered characteristic variables, without the need to manage their presence. NCaRBS can also generate results providing insights into SME behaviour regarding strategy and innovation, whilst also increasing learning about potential reasons behind SMEs uncertainty regarding innovation intention. The study provides novel perspectives into how SMEs develop innovation intentions and the strategies required to support/exploit such intentions, of value to academia, enterprise support agencies and policy makers.
Original language | English |
---|---|
Pages (from-to) | 3-16 |
Number of pages | 14 |
Journal | The International Journal of Entrepreneurship and Innovation |
Volume | 21 |
Issue number | 1 |
Early online date | 18 Oct 2018 |
DOIs | |
Publication status | Published - 1 Feb 2020 |
Keywords
- SME
- NCaRBS
- Innovation
- Strategy
- Uncertainty
- Don’t Know
Fingerprint
Dive into the research topics of 'SME development strategy and product/service innovation intention: a NCaRBS analysis of the role of uncertainty'. Together they form a unique fingerprint.Datasets
-
Data availability statement for 'SME development strategy and product/service innovation intention: a NCaRBS analysis of the role of uncertainty'.
Beynon, M. J. (Creator), Jones, P. (Creator) & Pickernell, D. G. (Creator), SAGE Publications Ltd, 26 Sept 2018
Dataset