Josep Domenech

• Polytechnic University of Valencia

Advances in computation and web-scraping techniques allow us to use real-time information from company websites and social media platforms, namely digital footprint indicators. Additionally to their real-time availability, these indicators are easily accessible, making them a potentially practical tool for monitoring a company’s level of competitiv...

The study aims to assess the potential of Google Trends (GT) data for improving the prediction of monthly rural overnight stays by national residents in Spain. The study uses forecasting models that incorporate Google Trends data and compares their accuracy with traditional time-series benchmark models. The data used spans from January 2012 to Febr...

Enotourism has become an increasingly popular form of tourism in the wine industry, offering visitors the opportunity to discover the wine culture, history, and production process while enjoying the natural and cultural heritage of the region. Enotourism can improve the wine brand image, heritage, cellar reputation, and the Denomination of Origin (...

This study aims to uncover parallels between the data issues observed in ORBIS and those in SABI, highlighting the need for cautious interpretation of both databases. By examining differences between entities present in SABI and those absent, insights into database representativeness are gained. Results indicate that SABI, like ORBIS, may not fully...

Objective Twin pregnancies are at an increased risk of stillbirth compared to singletons. Fetal growth restriction (FGR) is a leading cause of perinatal mortality and morbidity, in both singleton and multiple pregnancies. Whether the contribution of FGR to stillbirth in twin pregnancies differs from that in singletons is yet to be determined. The m...

Google Trends reports the evolution of the popularity of internet searches. Its main output is the Search Volume Index (SVI), a relative measure of the popularity of a term computed using a sample of the searches. Due to the sampling, the SVI series are not entirely consistent, as the same query produces different results that can widely change fro...

Tourists leave a digital footprint across a variety of repositories when planning and carrying out their activities. This information can be pro- cessed to extract valuable insights about tourist behavior. The objective of this paper is to conduct a comprehensive analysis of the digital foot- print sources employed in understanding and predicting t...

Objective: It has been reported that monochorionic twin pregnancies conceived through assisted reproductive techniques (ART) display a higher risk of second-trimester miscarriage, cesarean delivery, and neonatal death than those conceived naturally. The aim of this study was to compare the perinatal outcomes of monochorionic diamniotic (MCDA) twin...

Google Trends is a valuable tool for measuring popularity since it collects a large amount of information related to Google searches. However, Google Trends has been underused by sports analysts. This research proposes a novel method to calculate several popularity indicators for predicting players’ market value. Google Trends was used to calculate...

Data about consumer confidence indices are often used as a gauge of the entire economy of a country. In Italy, this information is collected by Istat and it is available at national level and at the first sub-level, the geographic area, but not at the regional level. Previous research has demonstrated that the volume of some Google searches are cor...

The digital footprint of the Spanish wine sector is a valuable resource for predicting real-time indicators, enabling companies to anticipate their competitors and devise effective digital transformation strategies using emerging technologies. With advances in computation and web-scraping techniques, it is now possible to approximate competitivenes...

Research in innovation usually builds on conventional data such as balance sheets, surveys, patents, or product catalogs. This paper intends to explore unconventional data, specifically web-scraped data, as an information source for innovation studies, proposing a careful procedure to establish the veracity of the linkage between web-based data and...

In recent years, there has been a shift from the linear economic model on which the textile and clothing industry is based to a more sustainable model. However, to date, limited research on the relationship between sustainability commitment and firm productivity has focused on the textile and clothing industry. This study addresses this gap and aim...

The use of Artificial Intelligence (AI) and specifically, OpenAI's ChatGPT, has been increasing in the educational field as a tool to enhance learning and teaching processes. Understanding the potential of ChatGPT in the classroom is crucial for instructors and educators because it can provide significant benefits in the preparation of classes, exa...

Recent literature shows an increasing interest in considering alternative sources of information for predicting Small and Medium Enterprises default. The usage of accounting indicators does not allow to completely overcome the information opacity that is one of the main barriers preventing these firms from accessing to credit. This complicates matt...

Background: This study sought to elucidate whether COVID-19 vaccination, during gestation or before conception, entails a decreased incidence of severe COVID-19 disease during pregnancy. Methods: This retrospective cohort study included all pregnant women that were followed up at a tertiary University Hospital with SARS-CoV-2 infection diagnosed be...

We develop a unifying framework to investigate the effects of firms' internet presence on productivity and market structure. Using information on website adoption as an indicator of online trading, we treat the decision of entering an e-commerce market equivalent to the decision of entering a foreign market. Our theoretical framework draws from a d...

The paper explores the possibility to employ the source code of corporate websites as an information source for research in innovation studies. Research in this area is generally based on studies that collect data on patents or official data sources. Our paper links the standard economic information of the firm with web-based data and joins the ong...

Search popularity, as reported by Google Trends, has previously been demonstrated to be useful when studying many time series. However, its use in cross-section studies is not straightforward because search popularity is not provided in absolute terms but as a normalized index that impedes comparisons. This paper proposes a novel methodology for ca...

Every time a firm or institution performs an activity on the Web, this is registered, leaving a "digital footprint”. Part this digital footprint is reflected on their websites as these officially represent them on the Web. We plan to automatically monitor the changes that periodically occur in a website to relate them with the business activity. Th...

Small and Medium Enterprises (SMEs) contribution to the European Union economy has always been relevant, for both value added and the creation of jobs. That is why the prediction of their survival is considered one of the economic pillars UE keeps under observation. Default prediction models, accounting for SMEs idiosyncratic traits, are based on s...

Google Trends (GT) allows users to obtain reports of the evolution of the popularity of searchers made through the Google Search engine. Its main output is the Search Volume Index (SVI), a relative measure of the popularity of a term, which is computed using a sample of the searches. Due to the sampling error, the reports are not completely consist...

Objective: to elucidate if sFlt-1/PlGF ratio at 24 weeks in twin pregnancies could be useful to select patients who subsequently develop diseases related to placental dysfunction, such as preeclampsia or fetal growth restriction (FGR). Methods: prospective study among all twin pregnancies followed up at a tertiary Hospital. The sFlt-1/PlGF ratio...

Google Trends (GT) has become a popular data source among researchers in a wide variety of fields. In economics, its main use has been to forecast other economic variables such as tourism demand, unemployment or sales. This paper questions the quality of these data by discussing the main data quality aspects according to the literature. Our analysi...

We develop a unifying framework to investigate the effects of firms’ internet presence on productivity and market structure. Using information on website adoption as an indicator of online trading, we treat the decision of entering an e-commerce market equivalent to the decision of entering a foreign market. Our theoretical framework draws from a d...

The Universitat Politècnica de València and its Faculty of Business Administration and Management have created a new intensification, named, "Intelligent Data Analysis", that provides the student with sufficient knowledge to integrate data analysis in the sometimes routine tasks of a company.The statistical, computer and ICT-related skills obtained...

We propose the use of online indicators, scraped from the firms’ websites, to predict default risk for a sample of Spanish firms via nonlinear discriminant analysis and the logistic regression model.

The series of HEAdconferences have become a leading forum for researchers and practitioners to exchange ideas, experiences and research results relating to the preparation of students and the organization of higher educational systems. The sixthedition (HEAd’20) was celebrated during 2-5 June 2020.It was organized from Valencia, Spain; although hel...

En el contexto del Espacio Europeo de Educación Superior (EEES), las universidades basan el diseño y evaluación de sus planes de estudio en el sistema de créditos ECTS. Este sistema facilita la comparación de las titulaciones y así, la movilidad de los estudiantes. Sin embargo, se vienen observando deficiencias en su papel como elemento cuantificad...

The purpose of this paper is to propose an intelligent system to automatically monitor the firms’ engagement in e-commerce by analyzing online data retrieved from their corporate websites. The design of the proposed system combines web content mining and scraping techniques with learning methods for Big Data. Corporate websites are scraped to extra...

The series of HEAd conferences have become a leading forum for researchers and practitioners to exchange ideas, experiences and research results relating to the preparation of students and the organization of higher educational systems. The fifth edition (HEAd’19) was held in Valencia, Spain during 25-28 June 2019. This preface gives an overview of...

Public policies have encouraged the proliferation of technology platforms that support the transition towards sustainable agriculture and the development of innovations in the food system. Provided the difficulty associated with assessing the outputs and outcomes of technology platforms, this work proposes a practical assessment method based on the...

Purpose The purpose of this paper is to analyze to what extent changes in corporate websites reflect firms’ survival. Since keeping a website online involves some costs, it is likely that firms would invest resources on it only when they are active and healthy. Therefore, when a firm dies, this event is likely to be manifested on its website as la...

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 2nd International Conference on Advanced Research Methods and Analytics (CARMA) is an excellent forum for researchers and prac...

The series of HEAd conferences have become a leading forum for researchers and practitioners to exchange ideas, experiences and research results relating to the preparation of students and the organization of higher educational systems. The fourth edition (HEAd’18) was held in Valencia, Spain during 20-22 June 2018. This preface gives an overview o...

The ability of the Internet to bring people together connecting them, and the inception of new technologies such as smart mobile devices, has offered new market opportunities like Online Social Networks (OSN). These online applications suppose a series of noticeable challenges both for researchers and developers. The applications and support system...

This chapter explores which business structural characteristics (size, age, productivity, technology level and area) affect the adoption of Twitter by companies, as well as their use intensity and online influence. Data regarding 405 manufacturing firms were collected from their financial statements and Twitter accounts and, three regressions were...

The Data Big Bang that the development of the ICTs has raised is providing us with a stream of fresh and digitized data related to how people, companies and other organizations interact. To turn these data into knowledge about the underlying behavior of the social and economic agents, organizations and researchers must deal with such amount of unst...

The World Wide Web (WWW) has become the largest repository of information in the world, providing a data stream that grows at the same time as the scope of the Internet does in society. As with most Information and Communication Technologies (ICTs), its digital nature makes it easy for computer programs to analyze it and discover information. This...

The adoption of information and communications technologies (ICTs) represents a key innovation for firms. Not only do ICTs directly affect the firm but they also lead to changes in the way the firm organizes itself and builds relationships with other entities. A prime example is the Internet, which offers a wide range of relationship opportunities,...

Cloud technology is an attractive infrastructure solution to optimize the scalability and performance of web applications. The workload of these applications typically fluctuates between peak and valley loads and sometimes in an unpredictable way. Cloud systems can easily deal with this fluctuation because they provide customers with an almost unli...

We investigate the role of the Internet in inducing market competition and firm productivity performance using a sample of UK and Spanish firms over the 1995-2010 period. For each firm we collect unique information on its online status (website) and the number of years of Internet activity. Our results show that the Internet is associated with redu...

In the transition to the digital economy, the implementation of e-commerce strategies contributes to foster economic growth and obtain competitive advantages. Indeed, national and supranational statistics offices monitor the adoption of e-commerce solutions by conducting periodic surveys to businesses. However, the information about e-commerce adop...

This volume contains the selected papers of the First International Conference on Advanced Research Methods and Analytics (CARMA 2016), which was held in Valencia, Spain, during July 6th and 7th of 2016. Research methods in economics and business are evolving with the increasing availability of comprehensive sources of data. As these methods are be...

This volume contains the selected short papers and posters of the Second International Conference on Higher Education Advances (HEAd’16), which was held in Valencia, Spain during 21-23 June 2016. After this second edition, the series of HEAd conferences have become a leading forum for researchers and practitioners to exchange ideas, experiences and...

Higher education institutions play an important role as leaders in knowledge creation and dissemination by setting the grounds for society to advance and to improve welfare. Despite the long-standing tradition of some higher education systems, Higher Education continuously evolves to adapt to the challenges that current societies open up to. The ob...

Uses, applications and functionalities of Online Social Network (OSN) are continuously changing and adapting to the new habits of users. The massive adoption of smart mobile devices and the appearance of new roles such as community managers have had a strong influence in the wide use of these networks among all sectors of population regardless of a...

The chapter proves that the web user's dynamic behavior is a crucial issue that must be addressed in web performance studies in order to accurately estimate system performance indexes. To this end, in a first step we analyze and measure the effect of considering different levels of dynamic workload on web performance evaluation, instead of traditio...

This chapter presents the current state of the art in characterizing and generating workloads for Web performance evaluation. First, it reviews a representative subset of the most relevant perspectives to define Web workloads, and analyzes the main drawbacks that we have to tackle in order to obtain representative workloads for current Web applicat...

Together with the evolution of the WWW, the behavior of WWW users has changed to include an increased dynamism. This makes traditional ways of conducting performance evaluation studies obsolete. In this chapter we devise a new testbed that has the ability of reproducing different types of web workloads. After the validation process, the testbed wil...

Acknowledgements: We wish to thank all participants to the Network and Trade workshop in

Knowledge-intensive activities (KIAs) are a fundamental part of innovation. In turn, innovation drives economic growth and regional development. Logically, therefore, understanding the factors that are conducive to KIAs is important for regions to plan and build toward a sustainable future. The literature discusses a host of environmental factors t...

En este trabajo se describe la implementacion de un sistema de coevaluacion del trabajo colaborativo de los alumnos como herramienta para medir el nivel de conciencia que los alumnos adquieren del trabajo desarrollado grupalmente, y comparar su percepcion con los resultados academicos obtenidos por el grupo. El docente proporciona una rubrica de ev...

This volume contains the proceedings of the First International Conference on Higher Education Advances (HEAd’15), which was held in Valencia, Spain during 24-26 June 2015. HEAd aims to become a forum for researchers and practitioners to exchange ideas, experiences, opinions and research results relating to the preparation of students and the organ...

Frequent testing provides opportunities for students to receive regular feedback and to increase their motivation. It also provides the instructor with valuable information on how course progresses, thus making it possible to solve the problems encountered before it is too late. Frequent tests with noncumulative contents have been widely analysed i...

Economic indicators are essential for economic studies, forecasts and economic policy designs. To meet their objective, they should be available in a frequent and timely fashion. However, official data are usually released with a long delay. Web-based economic indicators can be made available on real-time basis, thus contributing to alleviate this...

This paper links the economic cost of the cloud infrastructure to the business model of an internet-based company in order to evaluate costs and benefits of web applications. To this end, performance models and indexes related to the usage of the main system resources (i.e. processor, memory, storage and network bandwidth) have been reformulated to...

This article identifies the web technologies adoption pattern of agri-food industries considering a set of characteristics which include location, economic performance and previous history of adopting innovations. Our main results highlight that, together with certain firm characteristics, rural locations act as an accelerator for the adoption of w...

The purpose of this article is to infer indicators about the export orientation of firms from the analysis of their corporate websites. Using a data set of manufacturing firms, two logistic regressions were performed and compared: one considering some firm structural variables, and another considering some web-based variables. Results showed that t...

The prompt availability of up-to-date economic indicators is crucial to monitor the economy and to steer the design of policies for promoting business innovation and raising firm competitiveness. Economic indicators usually suffer important lags since they are commonly obtained from official databases or from interviews to a sample of agents, thus...

Web prefetching techniques are an attractive solution to reduce the user-perceived latency. These techniques are driven by a prediction engine or algorithm that guesses following actions of web users. A large amount of prediction algorithms has been proposed since the first prefetching approach was published, although it is only over the last two o...

Large companies increasingly look externally for opportunities to enhance innovation, which has resulted in closer study of innovation systems. We examined the role of service intermediaries (universities, technology centers, and consultants) within these systems using a sample of predominately small- and medium-sized enterprises located in Valenci...

This paper reviews a representative subset of the prediction algorithms used for Web prefetching classifying them according to the information gathered. Then, the DDG algorithm is described. The main novelty of this algorithm lies in the fact that, unlike previous algorithms, it creates a prediction model according to the structure of the current w...

Prólogo Capítulo 1 Introducción al comercio mundial: El modelo de gravedad 1.1. Introducción 1.2. Cuestiones de elección múltiple 1.3. Casos prácticos 1.4. Soluciones 1.4.1. Cuestiones de elección múltiple 1.4.2. Casos prácticos Capítulo 2 Ventaja Comparativa. El modelo de Ricardo 2.1. Introducción 2.2. Cuestiones de elección múltiple...

Web prefetching is a technique aimed at reducing user-perceived latencies in the World Wide Web. The spatial locality shown by user accesses makes it possible to predict future accesses from the previous ones. A prefetching engine uses these predictions to prefetch web objects before the user demands them. The existing prediction algorithms achieve...

Web caching techniques reduce user-perceived latency by serving the most popular web objects from an intermediate memory. In order to assure that reused objects are not stale, conditional requests are sent to the origin web servers before serving them. Most of the server responses to the conditional requests ratify that the object remains valid and...

The basics of web prefetching are to preprocess user requests before they are actually demanded. Therefore, the time that the user must wait for the requested documents can be reduced by hiding the request latencies. Prefetching is usually transparent to the user, that is, there is no interaction between the prefetching system and the user. For thi...

The aim of our contribution relies on studying the possibility of implementing a genetic algorithm in order to reproduce some characteristics of a simple laboratory experiment with human subjects. The novelty of our paper regards the estimation of the key-parameters of the algorithm, and the analysis of the characteristics of the estimator.

Abstract This dissertation is focused on the study of the prefetching technique applied to the World Wide Web. This technique lies in processing (e.g., downloading) a Web request before the user actually makes it. By doing so, the waiting time perceived by the user can be reduced, which is the main goal of the Web prefetching techniques. The study...

Prefetching is an interesting technique for improving Web performance by reducing the user-perceived latency when surfing the Web. Nevertheless, due to its speculative nature, prefetching can increase the network traffic and the server load. This could negatively affect the overall system performance and decrease the quality of service. To minimize...

The enormous potential of locality based strategies like caching and prefetching to improve Web performance motivates us to propose a novel global framework for performance evaluation in scenarios where different parts of the Web architecture interact. Unlike existing proposals our approach is a fast and flexible tool that allows to represent faith...

Web prefetching mechanisms have been proposed to benefit web users by hiding the download latencies. Nevertheless, to the knowledge of the authors, there is no attempt to compare different prefetching techniques that consider the latency perceived by the user as the key metric. The lack of performance comparison studies from the user’s perspective...

Web prefetching is a technique that has been researched for years to reduce the latency perceived by users. For this purpose, several web prefetching architectures have been used, but no comparative study has been performed to identify the best architecture dealing with prefetching. This paper analyzes the impact of the web prefetching architecture...

Web prefetching techniques have been pointed out to be especially important to reduce perceived web latencies and, consequently, an important amount of work can be found in the open literature. But, in general, it is not possible to do a fair comparison among the proposed prefetching techniques due to three main reasons: (i) the underlying baseline...

Web prefetching techniques are becoming important solutions to reduce the user perceived latency. Nevertheless, it is not possible to make a general fair comparison among the proposed techniques due to three main reasons: the underlying baseline system difers among the difierent studies; heterogenous workloads are used, and also different performan...

Since web prefetching techniques were proposed in the sec- ond half of the 90s as mechanisms to reduce final users' perceived la- tency, few attempts to evaluate their performance have been done in the research literature. Even more, to the knowledge of the authors this is the first study that evaluates different proposals from the user's point of...

This paper focuses on the design process of Web prefetching algorithms. The main goal of prefetching techniques in web is to reduce user perceived latency. Since these techniques present a high number of non-desired collateral effects that can negatively affect the system performance, the design process of new algorithms must be carefully performed...

Performance comparison studies are primarily carried out through real systems or simulation environments. Simulation is the most commonly used method to explore new proposals due to both its flexibility and the relatively reduced time taken to obtain performance results. This paper presents a framework to simulate web proxy cache systems. Our tool...

Web prefetching techniques have pointed to be especially important to reduce web latencies and, consequently, an important set of works can be found in the open literature. But, in general, it is not possible to do a fair comparison among the proposed prefetching techniques due to three main reasons: i) the underlying baseline system where prefetch...

Web prefetching techniques have pointed to be especially important to reduce web latencies and, consequently, an important set of works can be found in the open literature. But, in general, it is not possible to do a fair comparison among the proposed prefetching techniques due to three main reasons: i) the underlying baseline system where prefetch...

The popularity of Web objects, and by extension the popularity of the Web sites, besides the appearance of clear footprints in user's accesses that show a considerable spatial locality, make possible to predict future accesses based on the current ones. This fact permits to implement also prefetching techniques in Web architecture in order to reduc...

The higher education is currently linked to the application of new technologies. But does this mean that the quality of the higher education depends on how we apply new technologies? Obviously, the professor has to deal with new challenges as the motivation of the students, innovation, contents, media, developments…. In this paper we analyze the pe...