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Aircraft pitch control is fundamental for the performance of micro aerial vehicles (MAVs). The purpose of this paper is to establish a simple experimental procedure to calibrate pitch instrumentation and classical control algorithms. This includes developing an efficient pitch angle observer with optimal estimation and evaluating controllers under uncertainty and external disturbances.

A wind tunnel test bench is designed to simulate fixed-wing aircraft dynamics. Key elements of the instrumentation commonly found in MAVs are characterized in a gyroscopic test bench. A data fusion algorithm is calibrated to match the gyroscopic test bench measurements and is then integrated into the autopilot platform. The elevator-angle to pitch-angle dynamic model is obtained experimentally. Two different control algorithms, based on model-free and model-based approaches, are designed. These controllers are analyzed in terms of parametric uncertainties due to wind speed variations and external perturbation because of sudden weight distribution changes. A series of experimental tests is performed in wind-tunnel facilities to highlight the main features of each control approach.

With regard to the instrumentation algorithms, a simple experimental methodology for the design of optimal pitch angle observer is presented and validated experimentally. In the context of the platform design and identification, the similitude among the theoretical and experimental responses shows that the platform is suitable for typical pitch control assessment. The wind tunnel experiments show that a fixed linear controller, designed using classical frequency domain concepts, is able to provide adequate responses in scenarios that approximate the operation of MAVs.

The aircraft orientation observer can be used for both pitch and roll angles. However, for simultaneousyaw angle estimation the proposed design method requires further research. The model analysis considers a wind speed range of 6-18 m/s, with a nominal operation of 12 m/s. The maximum experimentally tested reference for the pitch angle controller was 20°. Further operating conditions may require more complex control approaches (e.g. scheduling, non-linear, etc.). However, this operating range is enough for typical MAV missions.

The study shows the design of an effective pitch angle observer, based on a simple experimental approach, which achieved locally optimum estimates at the test conditions. Additionally, the instrumentation and design of a test bench for typical pitch control assessment in wind tunnel facilities is presented. Finally, the study presents the development of a simple controller that provides adequate responses in scenarios that approximate the operation of MAVs, including perturbations that resemble package delivery and parametric uncertainty due to wind speed variations.

Observes that, in some public schools in the USA, dual language instead of English only is being promoted as a plus and not the drawback it was once seen to be. Stresses there is still opposition to dual language or other languages being used in the US. Reckons that educated parents are the likeliest to seek dual‐language education for their children. Uses tables and figures to show the dual language options and variances. Concludes that there is potential for two‐way immersion to expand.

Assessing the impacts generated by tourism has become an essential element for the industry’s sustainability. The increasing intensity of the impacts and the need to evaluate them from a resident’s perspective calls for new approaches to assist tourism management. This paper aims to advance from the pressure-state-response framework (PSR) to measure the tourism impacts in urban destinations with a holistic model called PSR-ti.

A multiple linear regression method was adopted to apply the PSR-ti model in the city of Madrid, estimating the relationship between the pressure (objective) and state (subjective) variables. Local statistical yearbook data was used to construct the pressure variables. Regarding the state variables, a survey was designed to assess residents’ perceptions of tourism. A total of 652 responses were obtained.

The results obtained from the study of pressure indicators unveil that these indicators can support decision-making processes as an underused management tool. This work represents a step forward in considering the transversality of tourism concerning urban planning, the development of equipment and infrastructures or activities such as commerce and culture for the analysis of the state indicators; the results obtained determine the need to periodically evaluate the perception of residents on the impacts of tourism, given its crucial role in the sustainability of the destination.

The PSR-ti model offers a holistic vision, including objective and subjective indicators in the model, which enhances the appraisal of the impacts of tourism by identifying pressure and state factors as a starting point for possible responses by the decision makers of the tourist destination.

Previous work on employee-driven innovation (EDI) has demonstrated the benefits of employees’ proactive behavior in achieving success with innovations. The purpose of this paper is to employ the concept of personal initiative to investigate the underestimated role of employees’ agency in complex processes of innovation, showing the impact of personal initiative on employees’ innovation success.

Based on two embedded cases of environmental bottom-up innovation at a large manufacturing company, this study examines employees’ behavior in generating, championing and realizing such initiatives.

This paper provides insights into how employees succeeded, through taking initiative in generating, championing and realizing environmental initiatives despite facing high complexity, and resource constraints. Without being prompted from the top down, employees started these initiatives themselves and showed phase-specific behavior in overcoming the various challenges. Thus, self-starting behavior was found dominant in generating ideas, whereas proactive and persistent forms of behavior were found to be prevalent in championing and rolling out the initiatives.

Current understandings of EDI highlight the importance of developing employees’ potential capabilities and organizational-level guidance. Using an active performance perspective, this study emphasizes the importance of employees’ agency in ensuring EDI success, even when conditions are not conducive to their doing so.

This study aims to understand how the recent COVID-19 pandemic impacted burnout levels among working mothers in leadership positions and how income and work schemes play an important role in their burnout.

Data were collected from 961 working mothers and fathers in leadership positions in Mexico under different work schemes during the COVID-19 lockdown. Snowball sampling was used in this study. The Maslach Burnout Inventory General Survey was distributed online, using the burnout scale, with income and work schemes as categorical variables.

Burnout levels among working mothers in leadership positions were higher than those among working fathers. The hybrid work scheme (i.e. working from home combined with working from office) lessens burnout in working mothers, contributing both theoretically and empirically to better understanding burnout levels of mothers in leadership positions.

The findings can encourage human resource areas to reflect on the overexertion and work stress of mothers in leadership positions, and potential support resources can be provided to motivate them and retain their talent.

The introduction of the notion of lockdown in a conceptual model to observe its interaction with burnout and hybrid work schemes (i.e. working from the office and home) has rarely been discussed in existing literature. The impact, especially for working mothers in leadership positions, must be thus carefully considered while dealing with future crises, thereby helping to develop policies and processes accordingly.

The purpose of this study is to verify some relationships between entrepreneurial attitude, university environment, entrepreneurial culture and entrepreneurial training, which can be used to promote entrepreneurship among university students.

A sample of 3,005 questionnaires answered by students from ten universities in Colombia was gathered and partial least squares structural equation modelling (PLS-SEM) was used for the analysis.

The results show that the more a student perceives an entrepreneurial culture and the more training he or she receives, the more entrepreneurial attitude he or she will have. Also, it was found that entrepreneurial culture has a positive effect on university environment, and the latter has a positive effect on entrepreneurial training.

The main limitation of this study was that only ten Colombian universities were sampled; therefore, general inferences cannot be made. Additionally, the variables investigated here may have not accurately measured the full scale of the entrepreneurship programmes in such universities or the way the culture of these institutions had a direct impact on students. Projects such as the Global University Entrepreneurial Spirit Students' Survey (GUESSS), which measure variables related to entrepreneurship at the university level, enable universities to shape their policies around this important topic. This study indicates that universities should offer training in entrepreneurial, problem-solving and communication skills to produce entrepreneurs who can better face current challenges.

Other studies have discussed entrepreneurial culture, but they usually deal with university environment, entrepreneurial training and entrepreneurial attitudes separately. This study integrates all these factors and measures the level of interaction between them.

This study aims to analyze the effects of cultural orientations (performance and sociality) on the trajectories of innovation inputs and their results in different countries worldwide between 2011 and 2021.

As a technique for data analysis, one of the spatial Bayesian models and Gray forecasting methods is used. This technique is adequate to achieve the objectives of the investigation because it allows analyzing how the variables move in time ranges and allow the generation of forecasts. This model also allows knowing if there are spills, which investing in a country can positively affect countries with geographical proximity. The databases used were the Global Innovation Index with data from 131 nations and the Globe Project with data from 157 countries between 2011 and 2021. The variables analyzed are institutions, human capital, research infrastructure, market sophistication and business sophistication. On the other hand, regarding moderations of cultural orientations, The Globe Project developed two factors: performance orientation (high degree of masculinity, avoidance of ambiguity, power distance and future orientation) and humane orientation (high-level of femininity, institutional and societal collectivism).

The results reveal that all inputs grow at different rates over time. In the case of institutions, it is the most difficult to generate changes over time. However, human capital, market sophistication and business sophistication are the ones that have grown the most over time, regardless of the country’s cultural orientation.

Among the main limitations is the set of data used because it only considers one approach to culture, especially the one considered by Hofstede. However, other approaches could help evaluate the results of this research. Considering the results obtained, the study attempts to provide a different view of the effects of cultural variables on companies’ innovation performance in different countries in the world. In the same way, evaluating these effects allows firms to consider variables associated with the country that will affect the strategies and performance of the firm.

The results achieved make it possible to strengthen the analysis of the countries’ strategies when it comes to innovation, especially in the permanent evaluation of the results that allow to encourage changes in the execution of innovative activities to maintain their performance over time.

The contributions allow us to understand the dynamics of innovation in the knowledge and creative outputs of countries over time.

The trajectory analysis used in the data analysis is perhaps one of the most robust techniques that makes a time series analysis. This allows identifying trajectories for the independent variables of the study and their influence on the innovation of the country.

This study aims to extend the existing base of knowledge of proactive and reactive market orientation and innovation capability by testing their impact on the export performance of emerging-market small- and medium-sized enterprises (SMEs) in a Latin American context.

This paper is a replication study, and its data were collected through a survey answered by general, marketing, sales or export managers at 155 Mexican SMEs. The research model was tested using partial least squares.

The study results indicate that innovation capability and reactive market orientation are drivers of export performance in Latin American SMEs. Moreover, proactive market orientation has been found to have an indirect effect on export results.

This study highlights to managers of Latin American SMEs the importance of capability development and deployment to improve export performance.

SMEs enabled by strategic and technological innovation based on current and latent customer needs can advantageously perform in foreign markets and can drive economic growth and social and human development in Latin America.

Recent studies have focused on emerging-market enterprises and the necessity of developing dynamic capabilities to achieve internationalisation. This study extends previous research by assessing the robustness and generalizability of drivers in export performance for manufacturing SMEs in Latin America. In particular, it provides empirical insights on the capabilities to develop by Latin American SMEs to achieve better export performance.

The study aimed to determine how reputational risk affects the stocks prices of companies listed on the Lima Stock Exchange.

The study follows a documentary research with a quantitative approach. Companies from different sectors listed on the Lima Stock Exchange were taken as a sample.

The incidence between the reputational risk and the stock price of the companies listed on the stock market, as well as the impact on profitability indicators and income level were demonstrated. Additionally, it was determined that the cost of capital has a greater impact if the entity is financed from the issuance of bonds rather than by subsidiaries.

Companies that presented well-known events in Peru and those that caused damage to their corporate reputations were studied. Likewise, information from sources such as Monitor Empresarial de Reputación Corporativa, Peruvian Securities Market Regulator’s office and Lima Stock Exchange was documented in order to analyze the variations in financial indicators during the indicated events. Financial models such as CAPM and GORDON-SHAPIRO were also used.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.