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Purpose — Automated fare collection systems implemented in public transportation systems in the last decade have provided a massive, continuous and low-cost source of reliable travel information. A direct and useful application of these data is the estimation of highly representative, although not bias-free, origin-destination (OD) matrices.

Methodology/approach — We discuss several issues with current OD matrix estimation methodologies, such as fare evasion and group travel, and their derived biases, specifically focusing on the Santiago (Chile) case. We also propose and apply two methods of validation: endogenous and exogenous validation. We elaborate on some methodological improvements that could be implemented to upgrade the activity estimation mechanics.

Findings — Several sources of bias in the estimation of OD matrix estimation from passive data are pointed and some solutions proposed. We apply improvements to existing methodologies and increase the success rate of trip estimations.

Practical implications — The reliable estimation of public transport OD matrices from passive data results in a valuable planning tool for both transit authorities and operators, much more representative and with less errors and biases that conventional data collecting techniques.

Originality/value of paper — This paper is one of the first works to deal with the subject.

Purpose — The introduction of new technology to public transport systems has provided an excellent opportunity for passive data collection. In this paper, we explore the possibility of automatically generating level of service indicators that could be used for operation planning and monitoring of Transantiago, the public transport system of Santiago, Chile.

Design/methodology/approach — After basic processing of the raw automatic vehicle location (AVL) and automatic fare collection (AFC) data, we were able to generate bus speed indicators, travel time measurements and waiting time estimates using data from 1week. The results were compared with manual measures when available.

Findings — The advantage is that these measurements and estimates are reliable because they are obtained from large samples and at nearly no cost. Moreover, they can be applied to any set of data with a selected periodicity.

Research limitations — The scope of this research is limited to what can be observed with AVL and AFC data. Additional information is required to incorporate other dimensions, such as personal characteristics and/or more detail in the origin/destination (OD) of the trips.

Practical implications — Nevertheless, these results are valuable for the planning and operation management of public transport systems because they provide large amounts of information that is difficult and expensive to obtain from direct measurements.

Originality/value — This paper proposes tools to obtain valuable information at a low cost. These tools can be implemented in many cities that have certain technological devices incorporated into their public transport systems.

This paper aims to examine the interrelation between two innovating strategies (product and process) on total factor productivity (TFP) growth and the dynamic linkages between these strategies, for Colombia. The authors first explore whether ex ante more productive firms are those that introduce innovations (the self-selection hypothesis) and if the introduction of innovations boosts TFP growth (the returns-to-innovation hypothesis). Second, the authors study the firm’s joint dynamic decision to implement process and/or product innovations. The authors use Colombian manufacturing data from the Annual Manufacturing and the Technological Development and Innovation Surveys.

This study uses a four-stage procedure. First, the authors estimate TFP using a modified version of Olley and Pakes (1996) and Levinsohn and Petrin (2003), proposed by De Loecker (2010), that implements an endogenous Markov process where past firm innovations are endogenized. This TFP would be estimated by GMM, Wooldridge (2009). Second, the authors use multivariate discrete choice models to test the self-selection hypothesis. Third, the authors explore, using multi-value treatment evaluation techniques, the life span of the impact of innovations on productivity growth (returns to innovation hypothesis). Fourth, the authors analyse the joint likelihood of implementing process and product innovations using dynamic panel data bivariate probit models.

The investigation reveals that the self-selection effect is notably more pronounced in the adoption of process innovations only, as opposed to the adoption of product innovations only or the simultaneous adoption of both process and product innovations. Moreover, our results uncover distinct temporal patterns concerning innovation returns. Specifically, process innovations yield immediate benefits, whereas implementing both product innovations only and jointly process and product innovations exhibit significant, albeit delayed, advantages. Finally, the analysis confirms the existence of dynamic interconnections between the adoption of process and product innovations.

The contribution of this work to the literature is manifold. First, the authors thoroughly investigate the relationship between the implementation of process and product innovations and productivity for Colombian manufacturing explicitly recognising that firms’ decisions of adopting product and process innovations are very likely interrelated. Therefore, the authors start exploring the self-selection and the returns to innovation hypotheses accounting for the fact that firms might implement process innovations only, product innovations only and both process and product innovations. In the analysis of the returns of innovation, the fact that firms may choose among a menu of three innovation strategies implies the use of evaluation methods for multi-value treatments. Second, the authors study the dynamic inter-linkages between the decisions to implement process and/or product innovations, that remains under studied, at least for emerging economies. Third, the estimation of TFP is performed using an endogenous Markov process, where past firms’ innovations are endogenized.

This chapter is designed with the aim to determine the influence of sociodemographic variables on the capacity to generate social enterprises, such as sex, the student’s country, if only they study or if they study and work, as well as if they participate or direct a social enterprise in university students of Latin American business schools. This research adopted an inductive quantitative approach using a questionnaire. The participants were university students of business schools from Colombia, Mexico and Peru. Second-generation structural equation method (SEM-PLS) was used to analyse the results, using the SmartPLS 3.2.7 software applied to data on 3,739 university students. The results suggest that the entrepreneur role, labour situation, country and sex have a moderating effect in the relation between entrepreneurial orientation and entrepreneurial intention. Also, by using resampling technique Bootstrapping (5,000 times,p < 0.01), significance of the trajectory coefficients (beta) and effect size of the coefficients (beta) were measured to demonstrate significance. Finally, with this research the authors ascertain that entrepreneurial orientation positively influences entrepreneurial intention. thus explaining 42.4% of its variance. This chapter is the first attempt on investigating in university students of Latin American business schools about factors of entrepreneurship orientation and entrepreneurship intention, and has strong potential to contribute to development of policies and strategies to promote the growth of entrepreneurship activities in the universities.

This study aims to examine the direct and indirect influence of electronic word of mouth (eWOM) on green cosmetics purchase intention of young Vietnamese female consumers through health concern, environmental concern and the theory of planned behavior (TPB) factors.

Data were collected from a survey of Vietnamese young female consumers that were analyzed using a partial least squares structural equation modeling.

The results reveal that eWOM has a direct effect on consumers’ purchase intention of green cosmetics. Among TPB factors, attitude was a greater influential predictor of purchase intention than subjective norms. However, the influence of perceived behavioral control on purchase intention was not supported. There were significant indirect effects of eWOM on purchase intention through the mediation of health concern, environmental concern and attitude.

Therefore, the findings of this study are relevant for marketers and managers as they provide valuable insights into understanding the motivational factors of consumers’ green cosmetics purchase intention. The results highlighted that eWOM could increase young female consumers’ environmental concern and health concern, which, in turn, influence a positive attitude toward green cosmetics. Hence, eWOM is a powerful vehicle for environmental and health messages; also, it can be an important channel of sensitization toward environmental and health issues and motivation of proenvironmental behavior and healthy lifestyle.

The study contributed to the literature by confirming the utility of the TPB model in predicting young women’s green cosmetics purchases in the context of Vietnam, an emerging market, which has largely been overlooked in the literature. The findings show that eWOM has a direct influence on green cosmetics purchase intentions of young Vietnamese female consumers and indirectly eWOM through health concern, environmental concern and two TPB factors (attitude and subjective norms).

The purpose of this paper is to present a methodology developed on the basis of the Historic Urban Landscape (HUL) notion applied for the city of Cuenca in Ecuador. The identification of cultural values – among all the actors involved in the city – draws up a series of sustainable urban development strategies.

This methodology is based on the city analysis from the local community and multiple disciplines such as geomorphology, environment, urban planning, historic cartography, architecture, archaeology, anthropology, and economy. Further qualitative data collection methods included 16 workshops with 168 citizens, specific surveys, mapping, and on-site observations. The challenge of this methodology is not only its implementation in the world heritage city of Cuenca in Ecuador, but also the integration of the management of the historic centre within the overall city development plan.

The application of the HUL concept has allowed the identification of a series of strategies for the urban development where the points of view coming from different stakeholders were gathered. The project reveals the existence of values and attributes, so far overlooked in the actual heritage management system. In addition, a Geographic Information System database has been created with all the information related to Cuenca with the possibility of making it available for the community in the future.

The project has been developed within one year with scarce economic resources: that is the reason why the planned activities took longer than expected.

Social participation has played a key role in the development of the project.

This research process in Cuenca has led to its incorporation as a Latin-American pilot city for a programme developed by the World Heritage Institute of Training and Research for the Asia and the Pacific Region.