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Ángel Peiró-Signes
Management Department, 7D Building, Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain

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Journal article
Published: 28 August 2021 in Socio-Economic Planning Sciences
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This study provides an XGBoost model to characterize the environmental orientation of innovative firms. This novel approach, using state-of-the-art machine learning methodologies and multiple recognized drivers of eco-innovation, provides solid empirical support for the understanding of the mechanisms that are crucial for firms' transition to a low-carbon economy. Although many drivers have been considered to affect firms’ eco-innovation, our feature selection process using the BorutaShap algorithm demonstrates that few aspects are truly relevant. Furthermore, analyzing a tree surrogate of the final model, our study explores the different paths or combinations of aspects that consistently lead to a specific eco-innovation orientation. The accuracy of the model and the large and complete spectrum of innovative companies in the sample contribute to the generalizability of the results. This study is particularly relevant because the main drivers of firms’ eco-innovative orientation depend on their innovative behavior, indicating that the managerial and policy work has to be directed to raising awareness of the different externalities derived from innovation. On one side, policy regulations should continue to pressure firms with environmental standards. On the other side, managers can stimulate the creation of a corporate innovative culture oriented toward improving operational efficiency (reducing unnecessary costs), improving the workplace environment, and focusing on new customer demands, which, in essence, will guide the organization to be more environmentally and socially responsible.

ACS Style

Ángel Peiró-Signes; Marival Segarra-Oña; Óscar Trull-Domínguez; Joaquín Sánchez-Planelles. Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods. Socio-Economic Planning Sciences 2021, 101145 .

AMA Style

Ángel Peiró-Signes, Marival Segarra-Oña, Óscar Trull-Domínguez, Joaquín Sánchez-Planelles. Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods. Socio-Economic Planning Sciences. 2021; ():101145.

Chicago/Turabian Style

Ángel Peiró-Signes; Marival Segarra-Oña; Óscar Trull-Domínguez; Joaquín Sánchez-Planelles. 2021. "Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods." Socio-Economic Planning Sciences , no. : 101145.

Journal article
Published: 10 March 2021 in Behavioral Sciences
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Many university students have difficulties when facing statistics related tasks, leading to an increase in their levels of anxiety and poor performance. Researchers have identified negative attitudes towards statistics, which have been shaped through students’ secondary education experience, as a major driver for their failure. In this study we want to uncover the causal recipes of attitudes leading to high and low levels of anxiety in secondary education students, and the role that the learning approach plays in these relationships. We used fuzzy sets comparative qualitative analysis (fsQCA) in a sample of 325 students surveyed on the multifactorial scale of attitudes toward statistics (MSATS) and the revised two factor study process questionnaire (R-SPQ-2F). The results indicate that, respectively, a high or a low level of self-confidence is the most important and a sufficient condition by itself for achieving a low or a high level of anxiety, while the learning approaches and other attitudes are only present in other causal combinations that represent a small number of cases.

ACS Style

Ángel Peiró-Signes; Oscar Trull; Marival Segarra-Oña; J. García-Díaz. Anxiety towards Statistics and Its Relationship with Students’ Attitudes and Learning Approach. Behavioral Sciences 2021, 11, 32 .

AMA Style

Ángel Peiró-Signes, Oscar Trull, Marival Segarra-Oña, J. García-Díaz. Anxiety towards Statistics and Its Relationship with Students’ Attitudes and Learning Approach. Behavioral Sciences. 2021; 11 (3):32.

Chicago/Turabian Style

Ángel Peiró-Signes; Oscar Trull; Marival Segarra-Oña; J. García-Díaz. 2021. "Anxiety towards Statistics and Its Relationship with Students’ Attitudes and Learning Approach." Behavioral Sciences 11, no. 3: 32.

Review
Published: 30 December 2020 in Sustainability
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Literature about sustainability and sustainable businesses has become a large field of study during the last years. This field is growing so fast that there are sub-areas or bodies of literature within the sustainability which scopes with clear boundaries between each other. This has caused the apparition of several methodologies and tools for turning traditional companies into sustainable business models. This paper aims to develop the descriptive stage of the theory building process through a careful review of literature to create the first phase of a theory about corporate sustainability. It provides the following classification of concepts retrieved from the observation of the state of art: holistic sustainability, sustainable business models, sustainable methodologies, sustainable operations, and sustainability-oriented innovation. In addition, it seeks to establish relationships between the sustainable concepts and the expected outcomes that their implementation can generate among companies and organizations. Finally, it gives an overview of possibilities for managers that want to embed sustainability in their firms and clear paths of research for keeping the building of the theory about corporate sustainability as a process of constant iteration and improvement.

ACS Style

Joaquin Sanchez-Planelles; Marival Segarra-Oña; Angel Peiro-Signes. Building a Theoretical Framework for Corporate Sustainability. Sustainability 2020, 13, 273 .

AMA Style

Joaquin Sanchez-Planelles, Marival Segarra-Oña, Angel Peiro-Signes. Building a Theoretical Framework for Corporate Sustainability. Sustainability. 2020; 13 (1):273.

Chicago/Turabian Style

Joaquin Sanchez-Planelles; Marival Segarra-Oña; Angel Peiro-Signes. 2020. "Building a Theoretical Framework for Corporate Sustainability." Sustainability 13, no. 1: 273.

Journal article
Published: 23 December 2020 in Applied Sciences
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Distribution companies use time series to predict electricity consumption. Forecasting techniques based on statistical models or artificial intelligence are used. Reliable forecasts are required for efficient grid management in terms of both supply and capacity. One common underlying feature of most demand–related time series is a strong seasonality component. However, in some cases, the electricity demanded by a process presents an irregular seasonal component, which prevents any type of forecast. In this article, we evaluated forecasting methods based on the use of multiple seasonal models: ARIMA, Holt-Winters models with discrete interval moving seasonality, and neural networks. The models are explained and applied to a real situation, for a node that feeds a galvanizing factory. The zinc hot-dip galvanizing process is widely used in the automotive sector for the protection of steel against corrosion. It requires enormous energy consumption, and this has a direct impact on companies’ income statements. In addition, it significantly affects energy distribution companies, as these companies must provide for instant consumption in their supply lines to ensure sufficient energy is distributed both for the process and for all the other consumers. The results show a substantial increase in the accuracy of predictions, which contributes to a better management of the electrical distribution.

ACS Style

Oscar Trull; J. Carlos García-Díaz; Angel Peiró-Signes. Forecasting Irregular Seasonal Power Consumption. An Application to a Hot-Dip Galvanizing Process. Applied Sciences 2020, 11, 75 .

AMA Style

Oscar Trull, J. Carlos García-Díaz, Angel Peiró-Signes. Forecasting Irregular Seasonal Power Consumption. An Application to a Hot-Dip Galvanizing Process. Applied Sciences. 2020; 11 (1):75.

Chicago/Turabian Style

Oscar Trull; J. Carlos García-Díaz; Angel Peiró-Signes. 2020. "Forecasting Irregular Seasonal Power Consumption. An Application to a Hot-Dip Galvanizing Process." Applied Sciences 11, no. 1: 75.

Conference paper
Published: 01 November 2020 in ICERI2020 Proceedings
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ACS Style

Oscar Trull-Dominguez; Angel Peiró-Signes; Juan Carlos García-Díaz; José Antonio Cabrero. EXPERIENTIAL LEARNING ACTIVITY FOR THE USE OF STATISTICAL TECHNIQUES APPLIED TO QUALITY ENGINEERING: USE OF MBOT AS AN ASSEMBLY LINE. ICERI2020 Proceedings 2020, 3139 -3147.

AMA Style

Oscar Trull-Dominguez, Angel Peiró-Signes, Juan Carlos García-Díaz, José Antonio Cabrero. EXPERIENTIAL LEARNING ACTIVITY FOR THE USE OF STATISTICAL TECHNIQUES APPLIED TO QUALITY ENGINEERING: USE OF MBOT AS AN ASSEMBLY LINE. ICERI2020 Proceedings. 2020; ():3139-3147.

Chicago/Turabian Style

Oscar Trull-Dominguez; Angel Peiró-Signes; Juan Carlos García-Díaz; José Antonio Cabrero. 2020. "EXPERIENTIAL LEARNING ACTIVITY FOR THE USE OF STATISTICAL TECHNIQUES APPLIED TO QUALITY ENGINEERING: USE OF MBOT AS AN ASSEMBLY LINE." ICERI2020 Proceedings , no. : 3139-3147.

Conference paper
Published: 01 November 2020 in ICERI2020 Proceedings
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ACS Style

Angel Peiro-Signes; Marival Segarra-Oña; Daniel Catalá Pérez; María Ángeles Carabal-Montagud. USING EXPERIENTIAL LEARNING ACTIVITIES FOR STEAM COMPETENCIES. ICERI2020 Proceedings 2020, 2766 -2771.

AMA Style

Angel Peiro-Signes, Marival Segarra-Oña, Daniel Catalá Pérez, María Ángeles Carabal-Montagud. USING EXPERIENTIAL LEARNING ACTIVITIES FOR STEAM COMPETENCIES. ICERI2020 Proceedings. 2020; ():2766-2771.

Chicago/Turabian Style

Angel Peiro-Signes; Marival Segarra-Oña; Daniel Catalá Pérez; María Ángeles Carabal-Montagud. 2020. "USING EXPERIENTIAL LEARNING ACTIVITIES FOR STEAM COMPETENCIES." ICERI2020 Proceedings , no. : 2766-2771.

Conference paper
Published: 01 November 2020 in ICERI2020 Proceedings
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ACS Style

Marival Segarra-Oña; Angel Peiro-Signes; Blanca De Miguel Molina; Virginia Santamarina-Campos. INSTRUMENT FOR MONITORING AND APPLYING STEAM COMPETENCIES IN A BUSINESS MANAGEMENT COURSE. ICERI2020 Proceedings 2020, 2761 -2765.

AMA Style

Marival Segarra-Oña, Angel Peiro-Signes, Blanca De Miguel Molina, Virginia Santamarina-Campos. INSTRUMENT FOR MONITORING AND APPLYING STEAM COMPETENCIES IN A BUSINESS MANAGEMENT COURSE. ICERI2020 Proceedings. 2020; ():2761-2765.

Chicago/Turabian Style

Marival Segarra-Oña; Angel Peiro-Signes; Blanca De Miguel Molina; Virginia Santamarina-Campos. 2020. "INSTRUMENT FOR MONITORING AND APPLYING STEAM COMPETENCIES IN A BUSINESS MANAGEMENT COURSE." ICERI2020 Proceedings , no. : 2761-2765.

Research article
Published: 25 August 2020 in Knowledge Management Research & Practice
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Absorptive capacity creates valuable competitive advantages. However, the tourism sector lacks an empirical analysis of how absorptive capacity is generated and how different organisational capabilities impact on its creation. The objective of this study is to identify which are the organisational capacities that generate absorptive capacity in this sector. To do so, we develop an empirical study using the partial least square (PLS) based on 86 Ecuadorian companies, which represents a new and potent tourism destination. Our results reveal that existing knowledge consolidation, the centralisation of decision-making, knowledge formalisation, connectedness, and knowledge-management infrastructures directly and positively influence the absorptive capacity. Direct managerial implications arise, which highlight what mechanisms help create and foster absorptive capacity within companies at the touristic industry.

ACS Style

Glenda Ponce-Espinosa; Angel Peiro-Signes; Marival Segarra-Oña. Absorptive capacity and in-company routines: modelling knowledge creation in the tourism industry. Knowledge Management Research & Practice 2020, 1 -11.

AMA Style

Glenda Ponce-Espinosa, Angel Peiro-Signes, Marival Segarra-Oña. Absorptive capacity and in-company routines: modelling knowledge creation in the tourism industry. Knowledge Management Research & Practice. 2020; ():1-11.

Chicago/Turabian Style

Glenda Ponce-Espinosa; Angel Peiro-Signes; Marival Segarra-Oña. 2020. "Absorptive capacity and in-company routines: modelling knowledge creation in the tourism industry." Knowledge Management Research & Practice , no. : 1-11.

Journal article
Published: 29 July 2020 in Sustainability
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Scientific and business environment literature shows that green, sustainable innovation or eco-innovation has proven to be a source of competitive advantage today. The industrial clusters, their dynamism, and the synergies created within them attract a lot of attention from the scientific community. However, to date, the joint study of these two concepts and, more specifically, the factors that drive eco-innovation specifically in a cluster, have not been studied in depth. This article models eco-innovation in industrial clusters, thus addressing this gap and proposing a model based on information gathered from the literature and a detailed analysis of behavior in relation to eco-innovation in different sectors. Results suggest that including eco-innovation variables and measures may have positive implications such as improvements at the strategic level and the reduction of costs and use of resources. An eco-innovation model for clusters is proposed. It considers eight key factors that seek to raise its competitive level by promoting eco-innovation within clusters. The model includes five internal factors that analyze business capabilities and three external factors that study the effect of launching eco-innovative activities. This model could help the companies’ managers and those responsible for clusters in creating more successful strategies to increase competitiveness by enhancing eco-innovation. It could also serve as a guide for government entities in the performance of eco-innovative activities in economic sectors.

ACS Style

Nohora Mercado-Caruso; Marival Segarra-Oña; David Ovallos-Gazabon; Angel Peiró-Signes. Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters. Sustainability 2020, 12, 6088 .

AMA Style

Nohora Mercado-Caruso, Marival Segarra-Oña, David Ovallos-Gazabon, Angel Peiró-Signes. Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters. Sustainability. 2020; 12 (15):6088.

Chicago/Turabian Style

Nohora Mercado-Caruso; Marival Segarra-Oña; David Ovallos-Gazabon; Angel Peiró-Signes. 2020. "Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters." Sustainability 12, no. 15: 6088.

Journal article
Published: 07 June 2020 in Aquaculture Reports
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Fisheries and aquaculture are incorporating environmental management system (EMS) tools and certified sustainable products as part of their strategic priorities. Firms have different ways to certify their environmental actions: the International Organization for Standardization (ISO) 14001 and the blue Marine Stewardship Council (MSC). ISO 14001 certifies the adoption of EMSs; and the MSC label guarantees the use of seafood that can be traced back to a sustainable resource. The economic impact and the differences between eco-labeling certifications are topics of great interest for environmental management. This paper analyzes and compares the effect of ISO14001 and the MSC on the results of the Spanish fishing auxiliary industry. We analyzed data from 561 Spanish firms and deployed a multivariate quantitative analysis with data retrieved from the financial accounts of Spanish fish processing and preserving firms, in different economic and financial ratios. Results show that certified firms get better economic ratios, although these benefits are not due to an operational efficiency improvement. Firm size is found to have a moderating effect on the relation between certification and economic performance. Environmental certification on firms’ performance provides key information for environmental management-related decision making.

ACS Style

Angel Peiró-Signes; Lluís Miret-Pastor; Marival Segarra-Oña. Effects of green certification and labelling on the Spanish fisheries industry. Aquaculture Reports 2020, 17, 100396 .

AMA Style

Angel Peiró-Signes, Lluís Miret-Pastor, Marival Segarra-Oña. Effects of green certification and labelling on the Spanish fisheries industry. Aquaculture Reports. 2020; 17 ():100396.

Chicago/Turabian Style

Angel Peiró-Signes; Lluís Miret-Pastor; Marival Segarra-Oña. 2020. "Effects of green certification and labelling on the Spanish fisheries industry." Aquaculture Reports 17, no. : 100396.

Journal article
Published: 16 May 2020 in Mathematics
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Students report a high degree of anxiety and reduced self-confidence when facing statistical subjects, especially in secondary education. This anxiety turns into poor academic performance. Most studies have used linear models for studying the interrelation between different attitudes and proving their impact on performance or related variables. This study uses a different approach to explain and better understand the causal patterns of factors stimulating lower levels of anxiety in students when facing statistics in secondary education. We employed the Multi-factorial Scale of Attitudes Toward Statistics (MSATS) and fuzzy-set qualitative comparative analysis (fsQCA) on a sample of 95 secondary school students in Spain. We identified the recipes or causal combination of factors, leading to low and high levels of anxiety. The results indicate that self-confidence and motivation are important factors in these recipes, but there is no single necessary condition that ensures lower levels of anxiety.

ACS Style

Ángel Peiró-Signes; Óscar Trull; Marival Segarra-Oña; J. Carlos García-Díaz. Attitudes Towards Statistics in Secondary Education: Findings from fsQCA. Mathematics 2020, 8, 804 .

AMA Style

Ángel Peiró-Signes, Óscar Trull, Marival Segarra-Oña, J. Carlos García-Díaz. Attitudes Towards Statistics in Secondary Education: Findings from fsQCA. Mathematics. 2020; 8 (5):804.

Chicago/Turabian Style

Ángel Peiró-Signes; Óscar Trull; Marival Segarra-Oña; J. Carlos García-Díaz. 2020. "Attitudes Towards Statistics in Secondary Education: Findings from fsQCA." Mathematics 8, no. 5: 804.

Articles
Published: 08 July 2019 in Journal of Culinary Science & Technology
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This article reviews gender differences in the career paths of successful chefs, including barriers, success factors, and the entrepreneurial path. The research was developed in 2016–17, using an international survey carried out in Spain, France, and the United States among culinary students, cooks, and chefs who responded to a structured questionnaire based on pre-selected topics. The results show that a chef’s career requires various sets of skills. They should be leaders, mentors, and entrepreneurs. They work in a hard and competitive environment where building their brand and achieving public recognition is a must. Their professional satisfaction depends on learning, evolving, and launching their restaurant. There were two main differences between the sample of women chefs and the general sample of chefs: they required more mentoring, and they achieved greater job satisfaction when they were self-employed.

ACS Style

Jose Albors Garrigos; Majd Haddaji; Purificacion Garcia Segovia; Angel Peiro Signes. Gender Differences in the Evolution of Haute Cuisine Chef´s Career. Journal of Culinary Science & Technology 2019, 18, 439 -468.

AMA Style

Jose Albors Garrigos, Majd Haddaji, Purificacion Garcia Segovia, Angel Peiro Signes. Gender Differences in the Evolution of Haute Cuisine Chef´s Career. Journal of Culinary Science & Technology. 2019; 18 (6):439-468.

Chicago/Turabian Style

Jose Albors Garrigos; Majd Haddaji; Purificacion Garcia Segovia; Angel Peiro Signes. 2019. "Gender Differences in the Evolution of Haute Cuisine Chef´s Career." Journal of Culinary Science & Technology 18, no. 6: 439-468.

Journal article
Published: 03 July 2019 in Sustainability
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The forecast of electricity consumption plays a fundamental role in the environmental impact of a tourist destination. Poor forecasting, under certain circumstances, can lead to huge economic losses and air pollution, as prediction errors usually have a large impact on the utilisation of fossil fuel-generation plants. Due to the seasonality of tourism, consumption in areas where the industry represents a big part of the economic activity follows a different pattern than in areas with a more regular economic distribution. The high economic impact and seasonality of the tourist activity suggests the use of variables specific to it to improve the electricity demand forecast. This article presents a Holt–Winters model with a tourism indicator to improve the effectiveness on the electricity demand forecast in the Balearic Islands (Spain). Results indicate that the presented model improves the accuracy of the prediction by 0.3%. We recommend the use of this type of model and indicator in tourist destinations where tourism accounts for a substantial amount of the Gross Domestic Product (GDP), we can control a significant amount of the flow of tourists and the electrical balance is controlled mainly by fossil fuel power plants.

ACS Style

Oscar Trull; Angel Peiró-Signes; J. Carlos García-Diaz. Electricity Forecasting Improvement in a Destination Using Tourism Indicators. Sustainability 2019, 11, 3656 .

AMA Style

Oscar Trull, Angel Peiró-Signes, J. Carlos García-Diaz. Electricity Forecasting Improvement in a Destination Using Tourism Indicators. Sustainability. 2019; 11 (13):3656.

Chicago/Turabian Style

Oscar Trull; Angel Peiró-Signes; J. Carlos García-Diaz. 2019. "Electricity Forecasting Improvement in a Destination Using Tourism Indicators." Sustainability 11, no. 13: 3656.

Conference paper
Published: 01 November 2018 in ICERI2018 Proceedings
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Information about the paper titled "EXPERIENTIAL LEARNING ACTIVITY: OUTDOOR PASSAGE TO LEARN STATISTICS" at IATED Digital Library

ACS Style

Oscar Trull-Dominguez; Angel Peiro-Signes; Marival Segarra-Oña. EXPERIENTIAL LEARNING ACTIVITY: OUTDOOR PASSAGE TO LEARN STATISTICS. ICERI2018 Proceedings 2018, 7374 -7380.

AMA Style

Oscar Trull-Dominguez, Angel Peiro-Signes, Marival Segarra-Oña. EXPERIENTIAL LEARNING ACTIVITY: OUTDOOR PASSAGE TO LEARN STATISTICS. ICERI2018 Proceedings. 2018; ():7374-7380.

Chicago/Turabian Style

Oscar Trull-Dominguez; Angel Peiro-Signes; Marival Segarra-Oña. 2018. "EXPERIENTIAL LEARNING ACTIVITY: OUTDOOR PASSAGE TO LEARN STATISTICS." ICERI2018 Proceedings , no. : 7374-7380.

Conference paper
Published: 01 November 2018 in ICERI2018 Proceedings
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Information about the paper titled "DEVELOPING AN EXPERIENTIAL LEARNING ACTIVITY TO LEARN ABOUT SMED" at IATED Digital Library

ACS Style

Angel Peiro-Signes; Oscar Trull-Dominguez; Marival Segarra-Oña; María De Miguel-Molina. DEVELOPING AN EXPERIENTIAL LEARNING ACTIVITY TO LEARN ABOUT SMED. ICERI2018 Proceedings 2018, 7079 -7084.

AMA Style

Angel Peiro-Signes, Oscar Trull-Dominguez, Marival Segarra-Oña, María De Miguel-Molina. DEVELOPING AN EXPERIENTIAL LEARNING ACTIVITY TO LEARN ABOUT SMED. ICERI2018 Proceedings. 2018; ():7079-7084.

Chicago/Turabian Style

Angel Peiro-Signes; Oscar Trull-Dominguez; Marival Segarra-Oña; María De Miguel-Molina. 2018. "DEVELOPING AN EXPERIENTIAL LEARNING ACTIVITY TO LEARN ABOUT SMED." ICERI2018 Proceedings , no. : 7079-7084.

Chapter
Published: 11 August 2018 in Regional Research Frontiers - Vol. 2
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In this paper we analyse economic data over a period of 5 years from the Smith Travel Research (STR) database using an event study technique to compare economic performance among a total of 27,207 hotels, 4339 of them located in US touristic clusters. The aim of the research is to determine if the cluster effect is affecting the economic performance of hotels. Hotels are segmented and compared to similar groups in terms of revenue, scale, location, and affiliation, and then each of the hotels within a touristic cluster is compared to a similar group of outside-cluster hotels. Though the mean values for economic performance are higher than those properties located in clusters, specific analysis suggests that the cluster effect is not affecting all the hotels in the same way and that property level influences the economic performance of hotels within a touristic cluster.

ACS Style

Angel Peiró-Signes; Marival Segarra-Oña; Rohit Verma; Lluís Miret-Pastor. Where Should I Locate My Hotel? An In-Depth Analysis of the Cluster Effect on Hotel Performance. Regional Research Frontiers - Vol. 2 2018, 95 -122.

AMA Style

Angel Peiró-Signes, Marival Segarra-Oña, Rohit Verma, Lluís Miret-Pastor. Where Should I Locate My Hotel? An In-Depth Analysis of the Cluster Effect on Hotel Performance. Regional Research Frontiers - Vol. 2. 2018; ():95-122.

Chicago/Turabian Style

Angel Peiró-Signes; Marival Segarra-Oña; Rohit Verma; Lluís Miret-Pastor. 2018. "Where Should I Locate My Hotel? An In-Depth Analysis of the Cluster Effect on Hotel Performance." Regional Research Frontiers - Vol. 2 , no. : 95-122.

Research article
Published: 03 May 2018 in Business Strategy and the Environment
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The environment is increasingly gaining importance for citizens and society and, therefore, for consumers. Eco‐innovation is a direct path for reducing the impact of production while providing companies with a source of competitive advantage. The automotive industry and its supply chain have a great impact on the environment, but no research has been developed on how the orientation toward the environment is evolving for the automotive industry and how future performance may be affected by current decisions. The aim of this paper is to bridge this gap by analyzing the eco‐innovative dynamism of the automobile industry. To do this, we use a panel analysis to see the point at which past behavior influences future decisions. The partial least square method is used to analyze the eco‐innovative dynamism of the automobile industry. We analyze a data set based on 159 responses of Spanish companies that belong to the automobile sector. Results show that environmental orientation drivers do not evolve over a short period while in the longer term there is an evolution. We prove that carryover effects have a great impact on the future behavior of the firms, showing that the evolution of organizations' environmental behavior is a long‐range consideration. Managerial implications arise from this paper's conclusions, as the decision‐making process is clarified.

ACS Style

Ángel Peiró-Signes; Marival Segarra-Oña. How past decisions affect future behavior on eco-innovation: An empirical study. Business Strategy and the Environment 2018, 27, 1233 -1244.

AMA Style

Ángel Peiró-Signes, Marival Segarra-Oña. How past decisions affect future behavior on eco-innovation: An empirical study. Business Strategy and the Environment. 2018; 27 (8):1233-1244.

Chicago/Turabian Style

Ángel Peiró-Signes; Marival Segarra-Oña. 2018. "How past decisions affect future behavior on eco-innovation: An empirical study." Business Strategy and the Environment 27, no. 8: 1233-1244.

Conference paper
Published: 01 March 2018 in INTED2018 Proceedings
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ACS Style

Oscar Trull-Domínguez; Ángel Peiró-Signes; Marival Segarra-Oña. CONTROL PLAN LEARNING THROUGH AN EXPERIENTIAL LEARNING ACTIVITY USING CATAPULTS. INTED2018 Proceedings 2018, 8962 -8968.

AMA Style

Oscar Trull-Domínguez, Ángel Peiró-Signes, Marival Segarra-Oña. CONTROL PLAN LEARNING THROUGH AN EXPERIENTIAL LEARNING ACTIVITY USING CATAPULTS. INTED2018 Proceedings. 2018; ():8962-8968.

Chicago/Turabian Style

Oscar Trull-Domínguez; Ángel Peiró-Signes; Marival Segarra-Oña. 2018. "CONTROL PLAN LEARNING THROUGH AN EXPERIENTIAL LEARNING ACTIVITY USING CATAPULTS." INTED2018 Proceedings , no. : 8962-8968.

Conference paper
Published: 01 March 2018 in INTED2018 Proceedings
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ACS Style

Ángel Peiró-Signes; Oscar Trull-Domínguez; Marival Segarra-Oña. ENCOURAGE LEARNING X-R CONTROL CHARTS THROUGH THE USE OF CATAPULTS. INTED2018 Proceedings 2018, 8506 -8512.

AMA Style

Ángel Peiró-Signes, Oscar Trull-Domínguez, Marival Segarra-Oña. ENCOURAGE LEARNING X-R CONTROL CHARTS THROUGH THE USE OF CATAPULTS. INTED2018 Proceedings. 2018; ():8506-8512.

Chicago/Turabian Style

Ángel Peiró-Signes; Oscar Trull-Domínguez; Marival Segarra-Oña. 2018. "ENCOURAGE LEARNING X-R CONTROL CHARTS THROUGH THE USE OF CATAPULTS." INTED2018 Proceedings , no. : 8506-8512.

Book chapter
Published: 10 January 2018 in Series on Technology Management
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Recent studies in literature on eco-innovation have adopted a systematic approach, rather than taking advantage of what the iMetrics method — different types of information studies such as bibliometrics, scientometrics, and informetrics — can contribute to the understanding of how knowledge increases and develops in a particular field. This chapter contributes to filling this gap by completing what other studies have already revealed. Our contribution adds information about the evolution in research on eco-innovation and the distinct nature of the knowledge generated by most important countries in the field. In this chapter, through the examination of scientific papers indexed in the Web of Science and Scopus databases, an analysis of co-keywords was undertaken through the use of Social Network Analysis. These results indicated that: (a) eco-innovation was related to environment, management, and engineering; (b) evolution in the field moved toward a practitioner context, a factor which is shown in the changes of the most important keywords; and (c) mapping the science in this field is contextual, depicting the structural characteristics of different countries. These results may be of interest to researchers, practitioners, and policy makers. In particular, researchers can make interesting contacts and detect gaps for future research; practitioners can find institutions and researchers to work with; and policy makers can use the differences between knowledge patterns in the different countries for decision-making.

ACS Style

Blanca De-Miguel-Molina; María De-Miguel-Molina; María-Del-Val Segarra-Oña; Angel Peiro-Signes. Bibliometrics and Networks: Case of a Multinational Perspective on How Eco-Innovation has Evolved in Academic Literature. Series on Technology Management 2018, 205 -251.

AMA Style

Blanca De-Miguel-Molina, María De-Miguel-Molina, María-Del-Val Segarra-Oña, Angel Peiro-Signes. Bibliometrics and Networks: Case of a Multinational Perspective on How Eco-Innovation has Evolved in Academic Literature. Series on Technology Management. 2018; ():205-251.

Chicago/Turabian Style

Blanca De-Miguel-Molina; María De-Miguel-Molina; María-Del-Val Segarra-Oña; Angel Peiro-Signes. 2018. "Bibliometrics and Networks: Case of a Multinational Perspective on How Eco-Innovation has Evolved in Academic Literature." Series on Technology Management , no. : 205-251.