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Article
Publication date: 14 August 2017

Victoria Muerza, Emilio Larrodé and José María Moreno-Jiménez

Following the methodology designed for selecting the best industrial and technological diversification strategy, one of the best methods for achieving the long-term sustainability…

Abstract

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.

Details

Industrial Management & Data Systems, vol. 117 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 28 November 2022

José Teixeira, Sandro Alves, Pedro Mariz and Fernando Almeida

The current student selection process for short-term mobility actions under the Erasmus + program (i.e. intensive programs and blended intensive programs) is based exclusively on…

Abstract

Purpose

The current student selection process for short-term mobility actions under the Erasmus + program (i.e. intensive programs and blended intensive programs) is based exclusively on the students' order of enrolment and their grades. This study offers an alternative approach using the analytic hierarchy process based on a four-layer model that collects information about the specificities of each project and the profile of the students and also promotes greater inclusion and homogenization of the project teams.

Design/methodology/approach

A decision support system was built by decomposing it into three stages: the predesign stage, in which the problem is characterized, and the user requirements are identified; the design stage, in which the models, the database and the interfaces are formulated; and the field stage, in which six test scenarios were built to validate the proposed solution.

Findings

The results show that this model can be applied with various selection criteria among students and consider both their hard and soft skills. It can also be applied to help build teams in which the students' knowledge is aligned with the technical skills required by the projects.

Originality/value

The proposed approach is innovative in that it responds to the emerging challenge of short-term European mobility programs that aim to involve students with multidisciplinary competencies. The solution considers both hard and soft skills in the selection of students, which allows changing the student selection paradigm and obtaining potentially more homogeneous multicultural teams with greater learning potential.

Details

International Journal of Educational Management, vol. 37 no. 1
Type: Research Article
ISSN: 0951-354X

Keywords

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