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The purpose of this research is to deepen understanding of the materiality in organizational identity (OI) by describing how physical objects support, instantiate and communicate OI over time.

The research design uses an in-depth case study of Codorníu wineries taking a symbolic interactionism methodological lens. The study examines a set of physical objects preserved from the company's foundation in 1551 to the present day and their associated identity meanings.

This study uncovered how the company used multiple objects to symbolically represent its identity. Some of these objects were primal artifacts used to legitimize organizational identity since the firm's foundation; others were interpreted as identity markers that worked to instantiate identity and to provide it with greater persistence, while others were created ad hoc to communicate organizational identity to external audiences. Some physical objects were used to differentiate the organization and its products from competitors, while others were used to maintain a temporary and spatial link with the organization's founding origins.

This study describes practical implications on the use of identity materiality to build legitimacy, employee identification, differentiation from competitors and reputation.

The analysis of the meanings associated with material objects shows that identity tangibility has not hindered organizational adaptation and change. Some identity objects gained relevance, while others were reinterpreted or abandoned according to their symbolic value in order to embody organizational identity at a given time. Four trajectories were identified that describe the evolution of physical objects in representing an organization's identity over time.

The purpose is to create an algorithm that optimizes the trajectories that an autonomous vehicle must follow to reduce its energy consumption and reduce the emission of greenhouse gases.

An algorithm is presented that respects the dynamic constraints of the robot, including the characteristics of power delivery by the motor, the behaviour of the tires and the basic inertial parameters. Using quadratic sequential programming with distributed and non-monotonous search direction (Quadratic Programming Algorithm with Distributed and Non-Monotone Line Search), an optimization algorithm proposed and developed by Professor K. Schittkowski is implemented.

Relations between important operating variables have been obtained, such as the evolution of the autonomous vehicle’s velocity, the driving torque supplied by the engine and the forces acting on the tires. In a subsequent analysis, the aim is to analyse the relationship between trajectory made and energy consumed and calculate the reduction of greenhouse gas emissions. Also this method has been checked against another different methodology commented on in the references.

The main limitation comes from the modelling that has been done. As greater is the mechanical systems analysed, more simplifying hypotheses should be introduced to solve the corresponding equations with the current computers. However, the solutions are obtained and they can be used qualitatively to draw conclusions.

One main objective is to obtain guidelines to reduce greenhouse gas emissions by reducing energy consumption in the realization of autonomous vehicles’ trajectories. The first step to achieve that is to obtain a good model of the autonomous vehicle that takes into account not only its kinematics but also its dynamic properties, and to propose an optimization process that allows to minimize the energy consumed. In this paper, important relationships between work variables have been obtained.

The idea is to be friendly with nature and the environment. This algorithm can help by reducing an instance of greenhouse gases.

Originality comes from the fact that we not only look for the autonomous vehicle’s modelling, the simulation of its motion and the analysis of its working parameters, but also try to obtain from its working those guidelines that are useful to reduce the energy consumed and the contamination capability of these autonomous vehicles or car-like robots.

While cardiovascular disease (CVD) is the leading cause of death globally, over 80% of the cases could be prevented through early lifestyle changes. From the perspective of quality management in healthcare, this may offer an effective prevention window if modifiable CVD risk factors are identified and treated in adolescence. The purpose of this research is to examine the negative emotions in adolescents and determine if it independently increases CVD risk later in life.

Longitudinal data from 12,350 participants of the Add Health study, which conducted a multi-wave survey for 14 years from adolescence (Wave 1) through adulthood (Wave 4), were used to test the research hypothesis. Four items (perception of life, self-reported depression, perceived loneliness and fearfulness) reflective of adolescent negative emotion were identified from the Wave 1 questionnaire, and factor analysis was conducted to confirm the hypothesized structure. The outcome variable, 30-year adulthood CVD risk category (high or low risk), was estimated using biomarkers, biological data and other factors collected during the 14-year follow-up in Wave 4. A logistic regression analysis was employed to assess the impact of adolescent negative emotions on adulthood CVD risk after adjusting for common risk factors such as sociodemographic characteristics, socioeconomic status and medical conditions in adolescence.

The results indicated adolescent negative emotion to be significantly associated with CVD risk category (p-value < 0.0001), even after controlling for common risk factors. A unit increase in the level of adolescent negative emotion increased the chance of being in the high CVD risk group in adulthood by 8% (odds ratio = 1.08 ± 0.03).

Healthcare providers and organizations could capitalize on the research findings by screening for negative emotions early in life through individual and societal interventions. The findings also provide an opportunity for implementing quality improvement initiatives to deliver robust preventive care, which, in turn, could improve the overall population health, reduce healthcare costs and improve care quality.

Although previous studies showed a strong link between adolescent physiological factors (e.g. obesity) and adulthood cardiovascular disease (CVD), the association between adolescent outlook/attitude (negative emotion) and CVD risk has not been examined.