On fuzzy ratio comparisons in hierarchical decision models
Fuzzy Sets and Systems
Fuzzy hierarchical analysis: the Lambda-Max method
Fuzzy Sets and Systems - Special issue on clustering and learning
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm
Information Sciences: an International Journal
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management
Information Sciences: an International Journal
On the order of the preference intensities in fuzzy AHP
Computers and Industrial Engineering
Innovation capital indicator assessment of Taiwanese Universities: A hybrid fuzzy model application
Expert Systems with Applications: An International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Fuzzy least-squares priority method in the analytic hierarchy process
Fuzzy Sets and Systems
Inconsistency of pair-wise comparison matrix with fuzzy elements based on geometric mean
Fuzzy Sets and Systems
Entrepreneurship policy evaluation and decision analysis for SMEs
Expert Systems with Applications: An International Journal
Measuring entrepreneurship: Expert-based vs. data-based methodologies
Expert Systems with Applications: An International Journal
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This paper describes an approach to measuring the entrepreneurship orientation (EO) of firms. EO is a widely accepted way to measure the degree in which a firm is entrepreneurial. The scale has three dimensions - innovativeness, risk-taking and proactiveness - each of which is assessed using multiple items. Measuring EO is important for entrepreneurial firms and for organizations like venture capitalists, business angels, investment banks and governments investing in these firms. Both the traditional statistical and the simple approach of assessing the overall level of EO (adding item scores) have their disadvantages. The aim of this article is to discuss these disadvantages and describe how some of them can be removed by using fuzzy analytic hierarchy process (AHP), which is a multi-criteria decision-making (MCDM) method that is particularly suited to tackle multi-dimensional, fuzzy, and perception-based constructs such as EO. We first improve a fuzzy AHP and then apply it using the pairwise comparisons of three experts to evaluate the EO of 59 small to medium-sized enterprises (SMEs) and rank the firms based on their EO score. The results indicate that proactiveness is by far the most important dimension, followed by innovativeness. Furthermore, there are considerable differences when it comes to the weights of the items.