Open Access
Analysing the relationship between QM, performance appraisal and pay for performance
(Routledge, 2021) Bayo Moriones, José Alberto; Torre Martínez, Rocío de la; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gestión de Empresas
The purpose of this paper is to analyse the relationship between quality management, performance appraisal and pay for performance in a sample of 203 manufacturing plants (including firms that do not apply quality management) in Spain employing at least 20 workers. We make a distinction between collaboration with suppliers, customer focus and the use of quality tools. This consideration of quality management as multidimensional will help to disentangle the complex interrelationships with performance appraisal and pay for performance. Our findings point to a positive association of customer focus, collaboration with suppliers and quality tools with performance appraisal evaluating results and behaviours. Regarding pay for performance, closer collaboration with customers is positively related to individual pay for performance. The use of quality tools is positively related to individual and firm pay for performance. The managerial implications point out that there is still room for improving the effectiveness of quality initiatives by incorporating changes in pay for performance and performance appraisal oriented to the adaptation to the principles of quality management. From the theoretical perspective, our paper underlines the importance of not considering quality management as a unidimensional reality when examining its relationship with other management practices.
Open Access
Business analytics in sport talent acquisition: methods, experiences, and open research opportunities
(IGI Global Publishing, 2021) Torre Martínez, Rocío de la; Calvet, Laura O.; López López, David; Juan, Ángel A.; Hatami, Sara; Gestión de Empresas; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE
Recruitment of young talented players is a critical activity for most professional teams in different sports such as football, soccer, basketball, baseball, cycling, etc. In the past, the selection of the most promising players was done just by relying on the experts' opinions but without systematic data support. Nowadays, the existence of large amounts of data and powerful analytical tools have raised the interest in making informed decisions based on data analysis and data-driven methods. Hence, most professional clubs are integrating data scientists to support managers with data-intensive methods and techniques that can identify the best candidates and predict their future evolution. This paper reviews existing work on the use of data analytics, artificial intelligence, and machine learning methods in talent acquisition. A numerical case study, based on real-life data, is also included to illustrate some of the potential applications of business analytics in sport talent acquisition. In addition, research trends, challenges, and open lines are also identified and discussed.
Open Access
Urban e-grocery distribution design in Pamplona (Spain) applying an agent-based simulation model with horizontal cooperation scenarios
(MDPI, 2021) Serrano Hernández, Adrián; Torre Martínez, Rocío de la; Cadarso, Luis; Faulín Fajardo, Javier; Institute of Smart Cities - ISC; Institute for Advanced Research in Business and Economics - INARBE
E-commerce has boosted in the last decades because of the achievements of the information and telecommunications technology along with the changes in the society life-style. More recently, the groceries online purchase (or e-grocery), has also prevailed as a way of making the weekly shopping, particularly, the one including fresh vegetables and fruit. Furthermore, this type of virtual shopping in supermarkets is gaining importance as the most efficient delivery system in cost and time. Thus, we have evaluated in this study the influence of the cooperation-based policies on costs and service quality among different supermarkets in Pamplona, Spain. Concerning methodology, first of all, we carried out a survey in Pamplona having the purpose of modelling the demand patterns about e-grocery. Second, we have developed an agent-based simulation model for generating scenarios in non-cooperative, limited cooperation, and full cooperation settings, considering the real data obtained from the survey analysis. At this manner, Vehicle Routing Problems (VRP) and Multi Depot VRPs (MDVRP) are dynamically generated and solved within the simulation framework using a biased-randomization algorithm. Finally, the results show significant reductions in distance driven and lead times when employing horizontal cooperation in e-grocery distribution.

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