José M. Merigó Lindahl

Motivations for Implementing a System of Quality Management in Spanish Thalassotherapy Centers

This article presents results from an empirical study of 31 thalassotherapy centers out of the total national number of 44 (as of 2011). The objective was to identify motivations that drive these centers to implement and certify a Quality Management System (QMS). Following a comprehensive theoretical review, the empirical research method consisted of descriptive and factor analyses to determine the importance and structure of motivations. Results show that the key motivations driving thalassotherapy centers to implement a QMS are enhancing service quality, improving processes and procedures, and creating awareness of quality in centers.

A bibliometric analysis of fuzzy decision making research

Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in this field by using a bibliometric approach. For doing so, the article uses a wide range of bibliometric indicators including the citations and the h-index. Moreover, it also uses the VOS viewer software in order to map the main trends in this area. The work considers the leading journals, articles, authors, institutions and countries. The results indicate that the Zadeh L.A. led the origins of fuzzy research and Ronald Yager is the most prominent author in FDM. The USA was the traditional leader in this field with the most significant researcher. However, during the last years, this field is receiving more attention by Asian authors that are starting to lead the field. This discipline has a strong potential and the expectations for the future is that it will continue to grow.

Forgotten effects and heavy moving averages in exchange rate forecasting

This paper presents the results of using experton, forgotten effects and heavy moving averages operators in three traditional models based purchasing power parity (PPP) model to forecast exchange rate. Therefore, the use of these methods is to improve the forecast error under scenarios of volatility and uncertainty, such as the financial markets and more precise in exchange rate. The heavy ordered weighted moving average weighted average (HOWMAWA) operator is introduced. This new operator includes the weighted average in the usual heavy ordered weighted moving average (HOWMA) operator, considering a degree of importance for each concept that includes the operator. The use of experton and forgotten effects methodology represents the information of the experts in the field and with that information were obtained hidden variables or second degree relations. The results show that the inclusion of the forgotten effects and heavy moving average operators improve our results and reduce the forecast error.

Knowledge, Innovation, and Sustainable Development in Organizations: A Dynamic Capability Perspective: An Overview

Knowledge, innovation, and sustainable development are highly recognized themes in the business, economics, and management literature. Despite the existence of this vast literature, few papers analyze this subject under the perspective of dynamic capabilities. This chapter aims to present an overview about this topic, and it provides an opportunity to advance our understanding about knowledge, innovation, and sustainable development in the organization context based on a perspective of dynamic capabilities. Furthermore, we address the main critical aspects approached in the different chapters and their impact on these themes. A short description of the author’s contributions is provided.

Forgotten Effects in Exchange Rate Forecasting Models

The aim of the chapter is to identify with the methodology of forgotten effects, hidden variables that influence the behavior of the forward exchange rate US dollar/Mexican peso (USD/MXN) to then incorporate them into a structured model from the postulates of the theory of Purchasing Power Parity (PPP) and, thus, reduce forecast error. The research question that causes the problem is: Is it possible to decrease the prediction error of the PPP model, using the methodology of the forgotten effects to detect and include hidden or forgotten variables? Among the results it was found that the inclusion of hidden or forgotten variables in the PPP model, decreases forecast error for exchange rate USD/MXN in 2015.

Entrepreneurship at the Universitat Politècnica de València

There is growing interest in entrepreneurship within universities. Universities aim to develop entrepreneurial skills in their students and establish the necessary paths to support entrepreneurial activities. This chapter focuses on entrepreneurial universities as key agents for the socioeconomic development of cities, regions, and nations. The chapter examines the transformation of universities to meet new business development needs and the Universitat Politecnica de Valencia (UPV) as an entrepreneurial university.

Heavy weighted geometric aggregation operators in analytic hierarchy process-group decision making

In this paper, some heavy weighted geometric aggregation operators in analytic hierarchy process under group decision making (AHP-GDM) are proposed. First, in the sense of heavy ordered weighted averaging operator, the heavy weighted geometric (HWG) and heavy ordered weighted geometric (HOWG) operators are introduced as extensions of the normal weighted geometric mean and the ordered weighted geometric by relaxing the constraints on the associated weighting vector. These HWG and HOWG then are utilized in the aggregation process of AHP-GDM as to maintain the multiplicative reciprocal property, specifically on the aggregation of individual judgments procedure. The main advantage of the model, besides the complete overlapping of information such in classical methods, is that it can also accommodate partial and non-overlapping information in the formulation. To show the applicability of the proposed method, a numerical example in an investment selection problem is provided.