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    A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context

    Azadnia, Amir Hossein and Stephens, Simon and Ghadimi, Pezhman and Onofrei, George (2022) A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context. Business Strategy and the Environment, 31 (5). pp. 2437-2455. ISSN 0964-4733

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    During the last 20 years, there has been an increased interest among academics and practitioners in the area of business incubation. However, limited attention has been devoted to developing a comprehensive framework that can measure business incubators' performances. Therefore, there is an urgent need for an appropriate, robust and useable performance framework. In this paper, we present a comprehensive framework using a weighted fuzzy inference system for business incubation centres' (BIC) performance measurement. The proposed approach utilises the input of a Delphi panel to identify criteria and subcriteria. Then a fuzzy analytic hierarchy process is used to weigh the criteria. Subsequently, a weighted fuzzy inference system is developed and applied to provide results based on the identified criteria and subcriteria. To show the proficiency and applicability of the proposed framework, a case study of Irish BICs is applied. The comprehensive performance measurement framework presented in this paper provides for accurate evaluation and monitoring across six criteria. The six criteria are facilities and infrastructure; clients; networking and marketing; products and services; finance; and human capital. The results show that although most of the BICs focus on facilities and infrastructure, there is a need to concentrate more on factors such as networking, marketing and finance. The detailed approach presented in this paper can be used by academics and practitioners who wish to apply fuzzy inference systems to performance measurement. In addition, the results from our pilot can be used by BIC managers and policymakers to improve performance.

    Item Type: Article
    Keywords: business incubation; Delphi panel; fuzzy inference system; performance measuremen;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 17151
    Identification Number:
    Depositing User: Amir Azadnia
    Date Deposited: 08 May 2023 09:55
    Journal or Publication Title: Business Strategy and the Environment
    Publisher: Wiley
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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