Key factors for entrepreneurial success

Lafuente, Francisco Javier Maqueda; Gil‐Lafuente, Anna M.; Parra, Vanesa Francisca Guzmán; Lafuente, Jaime Gil

doi:10.1108/md-04-2013-0201

Cited by 15 publications

(7 citation statements)

References 2 publications

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“…The extensive examination of business excellence literature led the authors of this study to conclude that there are not many studies that assess quantitatively the ability of organizations to be excellent and agile. The need for developing a business excellence model that guides organizations to success and survival not only when they operate under a stable environment but also when they face significant challenges in their external environment is also mentioned in other works (Furst-Bowe and Bauer, 2007;Dervitsiotis, 2007;Goyal et al, 2013;Lafuente et al, 2013). McAdam et al (2008) argue that there is a real need for a system able to measure leading and developmental aspects of an organization.…”

Section: Sustainable Business Excellence Metricsmentioning

confidence: 99%

A multicriteria model on calculating the Sustainable Business Excellence Index of a firm with fuzzy AHP and TOPSIS

Metaxas

Koulouriotis

Spartalis

2016

Benchmarking: An International Journal

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Purpose – The purpose of this paper is to provide an integrated methodology for benchmarking the sustainability of organizations. The fuzzy analytical hierarchy process (FAHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods have been used for this purpose. The FAHP is used to determine the weights of the criteria by decision makers, and the rankings of the alternatives are determined by TOPSIS. The proposed instrument is used to calculate the Sustainable Business Excellence Index (SBEI) and its potential impact on the formulation of firm strategy. To demonstrate the applicability of the model, illustrative examples are presented. Design/methodology/approach – After a careful literature review, a sustainable business excellence framework is created and a fuzzy system is developed to assess firms’ sustainability. Finally, the SBEI is computed. Findings – The results indicate that the suggested fuzzy approach is feasible for benchmarking the sustainability of organizations. It allows the decision makers to express their opinion regarding the importance of criteria and evaluate each alternative and then have this input coordinated in a quantitative fashion. Research limitations/implications – Practitioners and consultants can use the instrument for conducting quality management benchmarking within and across organizations. Researchers can use the instrument in future studies for further theory development in this area. Originality/value – As far as the authors are aware, no previous study research has assessed the SBEI of an organization with fuzzy sets. As such, it responds to a number of contemporary challenges in the business excellence theory, most importantly the broad need to identify agile organizations.

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Section: Sustainable Business Excellence Metricsmentioning

confidence: 99%

A multicriteria model on calculating the Sustainable Business Excellence Index of a firm with fuzzy AHP and TOPSIS

Metaxas

Koulouriotis

Spartalis

2016

Benchmarking: An International Journal

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“…However, the way they are revealed will depend on the ways to overcome a "psychological" gap between reported and actual conditions of doing business as practical experience is gained. Environment provides a certain informational impact on a potential entrepreneur forming such entrepreneur's outlook and business qualities by channels of influence (Lafuente et al, 2013) creating a multi-factor basis for success (Serra and Borzillo, 2013) (Table 4). Ranking of channels of influence in descending order is as follows: International & Open Access Cross-Industry Journal intensive information and network interaction, quick overcoming of infrastructural, organizational, and institutional barriers, comfort and abundance of living space, public and social values.…”

Section: Resultsmentioning

confidence: 99%

Student youth as an entrepreneurial resource: Experience of Russian university

Krasavin

Krasavina

2014

PIEB

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“…The forgotten effects theory has been used in other social contexts mainly to study the cause and effects of different economic phenomena, such as entrepreneurship [24,25], tourism [26,27], innovation [28], and other specific industry studies [29,30]. The application of this theory to the international trade network allows for identifying the maximum value of exports that an exporter country could have with a third party through an intermediary.…”

Section: Introductionmentioning

confidence: 99%

A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks

Chávez-Bustamante

Mardones-Arias²,

Rojas-Mora³

et al. 2023

Mathematics

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The purpose of this paper is to identify the emergence of indirect trade flows prompted by the export interaction of the world’s economies. Using data on exports from the United Nations Conference on Trade and Development (UNCTAD) for the period 2016–2021, we construct an international trade network which is analyzed through the “forgotten effects theory” that identifies tuples of countries with an origin, intermediary countries, and a destination. This approach intends to spotlight something beyond the analysis of the direct trade network by the identification of second and third-order paths. The analysis using both network analyses, as well as the forgotten effect approaches, which show that the international trade network presents a hub-and-spoke behavior in contrast to most extant research finding a core-periphery structure. The structure is then comprised of three almost separated trade networks and a hub country that bridges commerce between those networks. The contribution of this article is to move the analysis forward from other works that utilize trade networks, including those of econometric nature—such as the ones based on gravity models—by incorporating indirect relationships between countries, which could provide distinctive and novel insights into the study of economic networks.

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Key factors for entrepreneurial success

Cited by 15 publications

References 2 publications

A multicriteria model on calculating the Sustainable Business Excellence Index of a firm with fuzzy AHP and TOPSIS

A multicriteria model on calculating the Sustainable Business Excellence Index of a firm with fuzzy AHP and TOPSIS

Student youth as an entrepreneurial resource: Experience of Russian university

A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks

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