Search results

Demand for goods/services has increased in Latin America due to urbanization, leading to a complex delivery system and increased logistical activities. In Quito, the Historic Center and La Mariscal are two zones that face logistical challenges. The objective of this chapter is to analyze the commercial logistic activities related to loading and unloading goods in these zones. To address this urban freight problem, this chapter proposes a solution through the calculation of the optimal number and location of loading and unloading bays in each zone based on actual commercial activity data. First, a delivery survey was completed in each zone regarding frequency and amount of deliveries. Then, based on the data obtained, an optimization model is proposed to determine the optimal number and location of loading and unloading bays. Finally, a simulation model of the delivery process is performed to readjust the bay’s optimal number. A total number of 75 and 98 bays were calculated to serve the total shopping district of a representative square kilometer (km²) of the Historic Center and La Mariscal. This solution aims to minimize the delivery time and the distance for deliveries, improve urban freight transportation, and reduce traffic. This study could be used as a baseline and guide for further research in urban logistics, especially in Latin America, where urban logistics is still under study. This chapter is part of a Research Project of Urban Logistics in Quito, led by Universidad San Francisco de Quito (USFQ), in association with the Megacity Logistics Lab of MIT.

Recommendation systems are a fundamental tool for hotels to adopt a differentiating competitive strategy. The main purpose of this work is to use machine learning techniques to treat imbalanced data sets, not applied until now in the tourism field. These techniques have allowed the authors to analyse the influence of imbalance data on hotel recommendation models and how this phenomenon affects client dissatisfaction.

An opinion survey was conducted among hotel customers of different categories in 120 different countries. A total of 135.102 surveys were collected over eleven quarters. A longitudinal design was conducted during this period. A binary logistic model was applied using the function generalized lineal model (GLM).

Through the analysis of a representative amount of data, the authors empirically demonstrate that the imbalance phenomenon is systematically present in hotel recommendation surveys. In addition, the authors show that the imbalance exists independently of the period in which the survey is done, which means that it is intrinsic to recommendation surveys on this topic. The authors demonstrate the improvement of recommendation systems highlighting the presence of imbalance data and consequences for marketing strategies.

The main contribution of the current work is to apply to the tourism sector the framework for imbalanced data, typically used in the machine learning, improving predictive models.

This paper aims to study the effect of imbalanced data in tourism quality models. It is demonstrated that this imbalance strongly affects the accuracy of tourism prediction models for hotel recommendation.

A questionnaire was used to survey 83,740 clients from hotels between five and two or less stars using a binary logistic model. The data correspond to a sample of 87 hotels from all around the world (120 countries from America, Africa, Asia, Europe and Australia).

The results of the study suggest that the imbalance in the data affects the prediction accuracy of the models used, especially to the prediction provided by unsatisfied clients, tending to consider them as satisfied customers.

In this sense, special attention should be given to unsatisfied clients or, at least, some safeguards to prevent the effect of the imbalance of data should be included in the models.

In the tourism industry, the strong imbalance between satisfied and unsatisfied customers produces misleading prediction results. This fact could have effects on the quality policy of hoteliers.

In this work, focusing on tourism data, it is shown that this imbalance strongly affects the prediction accuracy of the models used, especially to the prediction of the recommendation provided by unsatisfied customers, tending to consider them as satisfied customers; a methodological approach based on the balance of the data set used to build the models is proposed to improve the accuracy of the prediction for unsatisfied customers provided by traditional services quality models.

This study explores the preferences for learning methods among the students of seven engineering disciplines in a Spanish technical university. The purpose of this paper is to investigate the students' views and from them contribute to the knowledge of the effectiveness of learning methodologies.

An online anonymous questionnaire survey was adopted to collect students' perceptions. Seven learning methods were compared in seven engineering degrees. The authors sampled 1660 students, and 426 completed responses were analysed. In addition to a descriptive analysis of the results, a multiple correspondence analysis (MCA) was performed using R data processing software.

It was found that project-based learning and problem-based learning were perceived as the more effective ones. MCA identified response patterns between the preference and the efficiency of learning methods showing that students can be classified into two groups according to their preferred level of activeness in learning.

The study focusses on a single technical university and not all engineering degrees could be sampled. However, five different engineering fields were studied and no significant differences among them were found.

The results add up to the known literature showing that students have different learning needs and consequently they perceive some methods as more effective. Instructors can use this information to strengthen their learning activities. Results also suggest that students can be classified into two groups in relation to their level of activeness in learning. This can also help to enhance general student motivation if two paths with different levels of activeness are planned.

No previous studies have compared several learning methods in different engineering fields. Thus, this study contributes to fill this gap and contributes to the body of evidence around learning methodologies from the perspective of students.

This paper aims to propose future public policy guidelines (FPPG) in sustainable regional development for Guaviare (Colombia) – a territory affected by environmental and social distress – for the year 2035.

Following collective action theory and sustainable regional development literature, a foresight exercise was conducted using site focus groups and semi-structured interviews with local participants to identify future strategic change drivers and the most relevant social actors for the attainment of economic, social and environmental development in the Guaviare through FPPG.

The findings suggest that the development of public policies regarding building consensus around Guaviare’s economic, environmental and social issues, reducing conflict between the region’s cultural and environmental ways, decreasing isolation from the centers of decision-making, increasing the transparency of public institutions and reducing insecurity to attract investments are all crucial to attaining sustainable regional development.

Interdisciplinarity is implicit in the local perspectives on the problem that impedes sustainable development in San José del Guaviare. The paper’s main contribution is the long-term vision that breaks away from the traditional short-termism in public policy guidelines in a Latin American context. Methodologically, the significant contribution is the convergent alignment of specific foresight methods toward public policy guidelines’ analysis and design processes.

In this chapter, we analyse the role of women in armed Basque nationalist and separatist terrorist group Euskadi Ta Askatasuna (ETA) from a gender perspective. ETA women were essential agents in the armed conflict, but their image in the mass media and society has been very different from that of their male colleagues (Rodríguez Lara, 2017). Also, their role in the terrorist gang has described a sexually based functional specialisation. In addition, this chapter seeks to contribute to the area of feminist studies on women and political violence. Women's role in one of the most important armed nationalist groups in Europe, ETA, stands as a suitable case study to understand how the mass media (press, journalism), audiovisual content, and social representations of ETA have portrayed these women. The final conclusion of this chapter is that women were not portrayed in the same way as their male colleagues. Women of ETA were doubly penalised because they were women and because they were terrorists.

The internationalization process in recent decades has been discussed from different approaches. In this chapter, we study the evolution of selected Latin American and Spanish companies that have experienced a growing evolution from small or medium-sized enterprises to large corporations with participation in global markets and a strategic role played by the family organizations and small business groups. It is a study of multiple cases scope focused on two main lines of discussion. In one hand, the trajectories of internationalization and, and the other, the family firm organization and structure, correspondingly to sectorial aspects and the global situations that have encouraged the expansion of markets, the acquisitions of assets outside the countries of origin, and the outsourcing system. The group of companies selected to discuss the heterogeneity of the internationalization processes is based in case studies: Lojas Amerianas-Brazil, Crystal Lagoons-Chile, Despegar.com-Argentina, Sol-Meliá, Spain, Ferrovial, Spain, Talgo, Spain. Among the findings of this comparative study, the following stand out: (1) debates about the family business are alive, (2) multidimensional perspectives between countries are needed to understand not only internationalization but also the relevance of competitive learning, entrepreneurial vision evolution, and diversity of trajectories between sectors and companies, and finally (3) the importance of culture and immigration in business and family development from Small and Medium Enterprises (hereafter SME) to large businesses.

Green Lean tools are aligned with the Circular Economy strategy as they aim at reducing waste, however, they miss the creation of value through waste. Therefore, this paper investigates whether the current implementation of the Green Lean strategy promotes the introduction of the Circular philosophy to achieve sustainable management production processes. It analyses how the resources were managed by implementing the different strategies and tools presented in Green Lean case studies under the lens of Circular Economy and highlights future research paths on the Circular Lean integration.

An analysis of the implementation of Green Lean case studies, selected through a Systematic Literature Review, from the manufacturing sector is conducted.

The majority of Green Lean implementations were aimed at minimizing waste, which is aligned with the narrowing strategy of Circular Economy and only a few cases studies aimed at closing the production cycles. Even though the main results indicate that being eco-efficient is a good starting point to move towards sustainability, from a Circular Economy point of view, this approach could remain limited. Therefore, the current contribution of Green Lean to the implementation of circular practices is limited. It can be concluded that introducing the circular philosophy in the Green Lean methodology can be achieved through redirecting Green Lean from waste reduction towards a value creation focus.

The originality of this paper is that it provides a critical review of the literature on the topic of Green Lean integration and Circular Economy.

This chapter provides an introduction to the Global Entrepreneurship Monitor (GEM), a project under Latin America and the Caribbean (LAC) regional approach. As a region, the countries of LAC correspond to the second-highest representation in GEM after Europe. The chapter describes the GEM project, summarizes some key longitudinal indicators for the region, and analyzes the contributions and importance of GEM project for the systematic study of entrepreneurship.