ASPEM as the New Topographic Analysis Tool for Small and Medium-Sized Enterprises (SMEs) Performance Models Utilization
2005 (English)In: International Journal of Entrepreneurship, ISSN 1099-9264, Vol. 3, no 1, 53-70 p.Article in journal (Refereed) Published
Quantifying and measuring small firm performance is vital in our understanding of how internationalization influences firm performance. That is also important when attempting to grasp the mechanisms of the internationalization processes. There are few methods used for the evaluation of performance of Small and Medium-sized Enterprise (SMEs). These methods can be either macro or micro economic in nature. Hazard Modeling, Stochastic Models, and Learning Models are examples of macro economic models while Z-Scores, ZETA-Scores, Neural Networks, and the SIV® model are examples of micro models. Choosing the most suitable performance model is an essential step in order to maximize our knowledge in relation to firm performance. Utilizing SMEs performance measures without thinking about the category of model, will bias the outcome of the majority of SMEs studies. However, using firm performance diverse models in an efficient manner requires strategic thinking. In this paper, we are re-introducing a tool that can accommodate that aspect. Abouzeedan (2002) designated the new tool: the Arena of SMEs Performance Models or an ASPEM diagram. The horizontal axis in the diagram indicates the Information Intensity Requirements of the model. The vertical axis indicates the Coverage Intensity of the model varying from an individual firm up to a whole group of firms. By allocating each of the SMEs performance models, at the suitable region of the ASPEM Diagram, researchers can better build a sound strategy for the application of these methods.
Place, publisher, year, edition, pages
SpringerLink , 2005. Vol. 3, no 1, 53-70 p.
Arena of SMEs performance models, ASPEM - SIV® model, Zeta-scores, ZETA-scores, neural networks, stochastic theories, hazard modeling
Economics and Business
IdentifiersURN: urn:nbn:se:liu:diva-71337DOI: 10.1007/s10843-005-0305-4OAI: oai:DiVA.org:liu-71337DiVA: diva2:447484