Multicriteria evaluation of technological competitiveness in diversification processes. An application to the automotive components industry

Muerza, Victoria (Universidad de Zaragoza) ; Larrodé, Emilio (Universidad de Zaragoza) ; Moreno-Jiménez, José María (Universidad de Zaragoza) ; Royo, Beatriz

Resumen: Considering technological competitiveness in diversification processes as the existence of key technologiesthat guarantee the current and future effective running of firms in terms of their technological and oper-ational potential, this paper presents a multicriteria approach for its evaluation and provides an index formeasuring the technological competitiveness of diversification processes. The application of this multicriteriaapproach, based on the analytic hierarchy process, in three real technological diversification processes allows(i) the validation of the hierarchical model (five levels and 25 attributes) and the index (73 indicators) pro-posed for evaluating the technological competitiveness; (ii) the use of this hierarchical model and index toconfirm the suitability of the diversification process and to extract knowledge related to the technological andoperational potential of the firm; and (iii) the exploitation of this knowledge in order to guarantee the long-term survival of automotive components industry’s firms. The methodology finds the most relevant attributesin the automotive component sector (innovative capacity and activity, good functioning of the managementand finance departments). Its practical application determines the firm’s suitability for a diversification pro-cess, identifies the attributes that require some improvement, and the decision opportunities. After 5 years,the three companies that have been studied showed a behaviour aligned with the values and recommenda-tions of the index developed to assess technological competitiveness. The main limitation lies in the difficultyof studying companies if they change or disappear in the future.

Idioma: Inglés

DOI: 10.1111/itor.13286

Año: 2023

Publicado en: INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 30, 6 (2023), 3863–3885
ISSN: 0969-6016

Factor impacto JCR: 3.1 (2023)

Categ. JCR: MANAGEMENT rank: 171 / 407 = 0.42 (2023) - Q2 - T2
Categ. JCR: OPERATIONS RESEARCH & MANAGEMENT SCIENCE rank: 34 / 106 = 0.321 (2023) - Q2 - T1

Factor impacto CITESCORE: 7.8 - Business and International Management (Q1) - Computer Science Applications (Q1) - Strategy and Management (Q1) - Management of Technology and Innovation (Q1) - Management Science and Operations Research (Q1)

Factor impacto SCIMAGO: 1.027 - Business and International Management (Q1) - Computer Science Applications (Q1) - Strategy and Management (Q1) - Management Science and Operations Research (Q1) - Management of Technology and Innovation (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-20R
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP35_21

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Ingen.e Infraestr.Transp. (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Economía Aplicada)