<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
handle: 10419/239877
This paper analyses the strategic behaviour of small and medium-sized enterprises (SMEs) and identifies the entrepreneurial, technological, and administrative problems of the Miles and Snow typology (1978). This typology is applied to a sample of SMEs in the Canary Islands (Spain) by using a multi-item questionnaire. Then, the Rasch Measurement Theory is applied to obtain the results, with the linear continuum as a key tool. By applying the Rasch Measurement, there is a coherency between the data treatment and the new interpretation of the Miles and Snow typology (1978), which lists 4 types that are close to trends than to pure types (for example, Sollosy 2013). There are differences between the administrative and the technological problems, with their technological approach being more prospector and their administrative one, which is more defender. This shows an almost absence of enterprises with purely defender or prospector behaviours. These results show that SMEs do not follow any comprehensive framework in order to develop their strategies. Managers should analyse their strategic situation and consider the alignment of the three problems.
strategic behaviour, Rasch Measurement Theory, JF20-2112, small and medium-sized enterprises, ddc:350, Political institutions and public administration (General), Strategic behaviour, Small and medium-sized enterprises, Miles and Snow typology
strategic behaviour, Rasch Measurement Theory, JF20-2112, small and medium-sized enterprises, ddc:350, Political institutions and public administration (General), Strategic behaviour, Small and medium-sized enterprises, Miles and Snow typology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |