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Uncertainty in Industrial and Technological Diversification Processes: Stability of AHP-Absolute Measurements Results

Uncertainty in Industrial and Technological Diversification Processes: Stability of AHP-Absolute Measurements Results
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Author(s): Victoria Muerza (University of Zaragoza, Spain), Emilio Larrodé (University of Zaragoza, Spain)and José María Moreno-Jiménez (University of Zaragoza, Spain)
Copyright: 2016
Pages: 31
Source title: Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes
Source Author(s)/Editor(s): Giner Alor-Hernández (Instituto Tecnológico de Orizaba, Mexico), Cuauhtémoc Sánchez-Ramírez (Instituto Tecnológico de Orizaba, Mexico)and Jorge Luis García-Alcaraz (Universidad Autónoma de Ciudad Juárez, Mexico)
DOI: 10.4018/978-1-5225-0130-5.ch009

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Abstract

Industrial and Technological Diversification (ITD) is one of the few strategies available to companies that are aiming to respond to the requirements and challenges of the contemporary economic climate. The interdependencies derived from globalization mean that businesses must diversify their portfolio of products and increase the number of markets in which they operate. The large numbers of scenarios, actors and criteria (tangible and intangible) that can be considered make ITD processes highly complex and provoke uncertainty concerning the robustness of the conclusions extracted by means of the existing ITD methodologies. Based on the methodological framework proposed by the authors in previous works, this chapter analyzes the suitability of diversification processes by studying the stability of results in order to gain more knowledge about the associated uncertainty. Using the AHP with absolute measurements as the methodological support and modifying the attributes´ weights and categories, simulation techniques assess the stability of the suitability diversification scorings.

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