Measuring entrepreneurship: Expert-based vs. data-based methodologies

Rezaei, Jafar; Ortt, Roland; Scholten, Victor

doi:10.1016/j.eswa.2011.09.091

Cited by 40 publications

(24 citation statements)

References 36 publications

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“…Algunos trabajos han aplicado la lógica borrosa al proceso de toma de decisiones en el campo de la administración de empresas, así Dweiri y Kablan (2005) diseñan y modelizan usando el software MATLAB un sistema borroso para evaluar la eficiencia interna de la gestión de proyectos. Pero a pesar de que en la literatura encontramos autores que constatan el gran potencial que plantea aplicar la lógica borrosa a las ciencias sociales (Ragin, 2000), existen pocas aplicaciones prácticas de la misma (Rezaei et al 2012).…”

Section: Objetivo Del Estudiounclassified

Using fuzzy logic in selecting people and ideas to participate in public programs of support to business start-ups

Mendialdua¹,

Iniesta²,

López

2014

cuadernosgestion

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Se propone en este trabajo un modelo de control borroso que ayude a filtrar y seleccionar las solicitudes de subvención que pueda recibir una institución pública en un programa de fomento para la creación y desarrollo de nuevas iniciativas empresariales. Creemos que la utilización de la lógica borrosa presenta ventajas sobre los procedimientos ordinarios ya que nos movemos en un escenario de actuación complejo y vago. El control borroso introduce el conocimiento de los expertos de un modo muy natural mediante variables lingüísticas y procesos de inferencia propios del lenguaje ordinario, lo que facilita la toma de decisiones en situaciones complejas. Nuestro modelo considera por un lado la "idea empresarial" y por otro la "persona". Los indicadores y criterios que los expertos consideran relevantes para la evaluación de la subvención son modelados mediante variables lingüísticas y tratados como antecedentes y consecuentes de un motor de inferencia borroso, cuya salida nos proporciona la valoración final de la solicitud. Al final de nuestro trabajo resolvemos un caso práctico sencillo para aclarar el procedimiento.

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Section: Objetivo Del Estudiounclassified

Using fuzzy logic in selecting people and ideas to participate in public programs of support to business start-ups

Mendialdua¹,

Iniesta²,

López

2014

cuadernosgestion

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“…A questionnaire gives experts ample time to think about and document their expertise. Through the questionnaire method, expertise can be successfully acquired with minimal time, cost, and effort, particularly when features of the required knowledge are known (Rezaei et al, 2011). Moreover, the categorized structure of the questionnaire helps the expert to answer the questions individually.…”

Section: Knowledge Elicitationmentioning

confidence: 99%

Expert System to Control Construction Problems in Flexible Pavements

Mosa

Rahmat

Ismail

et al. 2013

Computer aided Civil Eng

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Highway engineers face complicated problems that are influenced by various conditions during the construction of flexible highway pavements. Identifying such problems and recommending effective solutions demand considerable engineering expertise, which is difficult to obtain at all construction sites. Thus, the development of an expert system can effectively help engineers control and analyze such problems. In addition, an expert system can effectively archive the storage and distribution of expertise among pavement engineers. This article describes the development and evaluation of such an expert system. The first stage in the development of the proposed system was the elicitation of knowledge from written sources and from experts through literature reviews and interviews, respectively. The acquired knowledge was analyzed and classified and then represented in a form containing rules; the rules were subsequently coded as software. This article describes the development and evaluation of the Expert System for the Control of Construction Problems in Flexible Highway Pavements.

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“…Here, we describe a simple DEA-like linear programming model introduced by Rezaei et al [15]. Suppose we have N suppliers.…”

Section: Data Envelopment Analysis (Dea)-likementioning

confidence: 99%

Two Multi-criteria Approaches to Supplier Segmentation

Rezaei

Ortt

2012

Advances in Production Management Systems. Value Networks: Innovation, Technologies, and Management

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Supplier segmentation is a strategic business activity whereby suppliers of a firm are categorized on the basis of their similarities. Instead of handling all suppliers separately, segmentation yields a manageable number of segments, each of which requires a similar strategy. Standard methods of supplier segmentation have serious shortcomings: they often use a limited number of criteria and do not capture the complicated interaction between different supplier aspects. There is often little by way of data that can be used to apply more advanced statistical segmentation approaches. In this paper, we use two overarching dimensions to capture all available segmentation criteria: supplier capabilities and supplier willingness. We propose two multi-criteria approaches to assess the position of suppliers with regard to these dimensions and subsequently that outcome to identify segments. These multi-criteria approaches, a fuzzy rule-based system and a DEA-like linear programming model are applied to a real-world case to demonstrate how the results can be used in practice. The results of the two approaches are compared and some strategies are suggested to handle different segments.

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Measuring entrepreneurship: Expert-based vs. data-based methodologies

Cited by 40 publications

References 36 publications

Using fuzzy logic in selecting people and ideas to participate in public programs of support to business start-ups

Using fuzzy logic in selecting people and ideas to participate in public programs of support to business start-ups

Expert System to Control Construction Problems in Flexible Pavements

Two Multi-criteria Approaches to Supplier Segmentation

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