Identification and selection of ICTs for freight transport in product service supply chain diversification

Muerza, V. ; Larrodé, E. (Universidad de Zaragoza) ; Moreno-Jiménez, J.M. (Universidad de Zaragoza)

Resumen: Purpose - Following the methodology designed for selecting the best industrial and technological diversification strategy, one of the best methods for achieving the long-Term sustainability of companies, the purpose of this paper is to describe its application in the service supply chains (SSCs) sector, specifically, in freight transport in product service supply chains. Design/methodology/approach - The methodology used in diversification processes comprises four stages: Evaluation of the technological diversification suitability; selection of the technological diversification strategy; implementation of the diversification strategy; and evaluation of the process. Findings - The main contributions of the paper are: The proposal of a taxonomy or functional inventory for information and communication technologies (ICTs) in the freight transport industry (FTI); the introduction of a new concept, the technological shrub, a variant of the technological tree that allows interdependencies between the functionality systems; the construction of a technological shrub for ICTs in a standard FTI firm; and the multicriteria selection, based on the Analytic Hierarchy Process (AHP), of the best diversification strategy that can be incorporated by this standard firm for improving competitiveness. This selection utilises a "bottom-up" approach. Originality/value - The paper deals with the long-Term sustainability of companies by means of technological diversification strategies. Based on the taxonomy constructed for ICTs in the SSC sector and the identification of key technologies for a particular firm, a technological shrub is constructed and a multicriteria procedure is developed in order to select the best diversification strategy.

Idioma: Inglés

DOI: 10.1108/IMDS-09-2016-0375

Año: 2017

Publicado en: INDUSTRIAL MANAGEMENT & DATA SYSTEMS 117, 7 (2017), 1469-1484
ISSN: 0263-5577

Factor impacto JCR: 2.948 (2017)

Categ. JCR: ENGINEERING, INDUSTRIAL rank: 11 / 46 = 0.239 (2017) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 26 / 105 = 0.248 (2017) - Q1 - T1

Factor impacto SCIMAGO: 0.904 - Computer Science Applications (Q1) - Industrial and Manufacturing Engineering (Q1) - Strategy and Management (Q1) - Management Information Systems (Q1) - Industrial Relations (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/ECO2015-66673-R

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Ingen.e Infraestr.Transp. (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Estruc.Hª Econ.y Eco.Pb.)