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Technological progress is a determining factor in the factors leading to economic and social well-being. Simultaneously, the development of a sustainable economy is based on the conservation of resources. In the energy sector, this fact can be corroborated with the reduction of energy consumption, thus increasing economic efficiency. On the one hand, improving energy efficiency contributes to increasing the quality of life, productivity, and, implicitly, the economy, but on the other hand, it leads to excess energy use – this behavioral change is known as rebound. The research estimates the rebound effect at the macroeconomic level for European countries in the period 2000–2019, referring the analysis to each country's gross domestic product (GDP) and energy consumption, as well as comparing the preaccession and postaccession periods of Romania in the EU space. The rebound effect is determined using multidimensional analysis methods, depending on the GDP of each country as well as the behavior of each in the use of energy resources in industry, agriculture, and services. Although the study results confirm the strong link between energy consumption and GDP at the level of each state, they did not show considerable changes between countries at the level of the two periods.

In this chapter, I propose a model for how school-level leaders manage their emotions. This model consists of six components. School-level leaders typically have little direct influence over the first component of the model, which are the socio-contextual factors in the schools, school communities and jurisdictions in which they work. A school-level leader's identity, sense of self and their personal characteristics comprise the second component of the model. The third component of the model is a multi-directional arrow demonstrating connections and interactions between the socio-contextual factors and a school-level leader's sense of self. Factors that heighten school-level leaders' emotional experiences in schools are considered as part of the fourth component of this model for school-level leaders' emotional regulation. The fifth component are the emotional regulation strategies school-level leaders use to manage emotions that emerge as part of their workday, while influence of supports and professional learning are considered as part of the sixth component, Finally, the model also accounts for the chain reactions and feedback loops that can occur when an individual utilizes an emotional regulation strategy that is unsuccessful. Those processes produce new emotions that must be regulated using similar, or different, emotional regulation strategy(ies).

This study analyzes the digital competencies and the attitude toward the use of information and communication technologies (ICT) in secondary school teachers of the Javier Heraud Public Educational Institution, Lima, Peru, according to the technology, pedagogy, and content knowledge (TPACK) model, which focuses on knowledge about technology knowledge (TK), pedagogical content (PK) and content knowledge (CK). This implies that it is important to take these components into account in the development of teaching work, in order to contribute to the quality of student learning, within the framework of the restrictions established due to the global health emergency. The study is based on the quantitative approach, type of correlational research and cross-sectional design, the sample consisted of 106 secondary education teachers, questionnaire was applied which were validated by five experts and its reliability was analyzed by the values obtained for Cronbach's alpha, for the digital competencies variable α = 0.861 and for the variable attitude toward the use of ICT α = 0.854. It has been shown that there is a relationship between digital competencies and the attitude toward the use of information and communication technologies in teachers of a Peruvian Public Educational Institution.

Active and transformative learning (ATL) challenges the new era of teaching and learning in higher education. In this chapter a systematic approach to ATL theories and methodologies is provided. Authors provide a unique methodological framework for the integration of active learning practices in modern higher education curricula. This chapter also provides an integrated context for the overall discussion of the phenomenon in the volume. The recent arrivals of new disruptive artificial intelligence-enabled technologies such as OpenAI, ChatGPT, DeepAI and others are only few aspects of a new challenging era for the teaching, learning, innovation and sustainability in the higher education.

Although tourism destination image is a widely studied subject, the perspective of local players is generally neglected, albeit its relevance for informing the positioning and brand management strategies of the places is recognized. This chapter aims to determine the perceptions of key local public organizations from the historical-cultural and heritage sectors and companies linked to commerce and tourism (private sector) about the historic center of a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage site in Brazil. The results of this investigation contribute to the development of marketing and tourism development strategies in historic towns, especially those classified as World Heritage by UNESCO.

The monetary policy implementation and corporate investment are closely intertwined. The aim of modern monetary policy is to mitigate economic fluctuations and stabilise economic growth. One of the ways of influencing the real economy is influencing the level of investment by enterprises.

This chapter provides evidence on how monetary policy affected corporate investment in Poland between 1Q 2000 and 3Q 2022. We investigate the impact of Polish monetary policy on investment outlays in contexts of high uncertainty.

Using the correlation analysis and the regression model, we show the relation between the monetary policy and the investment outlays of Polish enterprises. We used the least squares method as the most popular in linear model estimation. The evaluation includes model fit, independent variable significance and random component, i.e. constancy of variance, autocorrelation, alignment with normal distribution, along with Fisher–Snedecor test and Breusch–Pagan test.

We find that Polish enterprises are responsive to changes in monetary policy. Hence, the corporate investment level is correlated with the effects of monetary policy (especially with the decision on the central bank's basic interest rate changes). We found evidence that QE policy has a positive impact on Polish investment outlays. The corporate investment in Poland is positively affected by respective monetary policies through Narodowy Bank Polski (NBP) reference rate, inflation, corporate loans, weighted average interest rate on corporate loans.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

BE2ST-In-Highways is a framework for assessing the social impact of reusing materials in pavement building, using the Pavement Life-Cycle Assessment Tool for Environmental and Economic Impacts (PaLATE) and life-cycle cost analysis (LCCA). ENVISION is a two-stage assessment method with four levels of certification: bronze award, silver award, gold award, and platinum award. Stantec published the Green Guide for Roads in 2008 as a marketing tool to highlight its commitment to sustainable development (SD), and the certification policy was created using the Leadership in Energy and Environmental Design (LEED) certification policy. As part of their first-year requirements, Stantec and a team of Worcester Polytechnic Institute students created another ‘Green Guide for Roads’ in 2009 to integrate previously missing components of the certification guidelines. GreenPave was developed by the Ontario Ministry of Transportation as an SD certification framework based on the Greenroads and GreenLITES SD certification frameworks. Specifications are classified into three types: repair activities, new development projects, and credit for evident and clear criteria. The Greenroads SD certification process reintroduces SD ideas into highway building by awarding points to projects that effectively integrate SD objectives. I-LAST is a tool developed by the Illinois Department of Transportation, American Consulting Engineers Council (ACEC), and Illinois Road and Transportation Builders Association (IRTBA) to analyse SD principles in road infrastructure building. INVEST (Infrastructure Voluntary Assessment Sustainability Tool) is designed to be simple to use and includes four stages of a project. Scorecards for pavement, basic rural, basic urban, extended rural, extended urban, and custom are included. CEEQUAL (Sustainability Assessment and Awards for Civil Engineering, Infrastructure, Landscaping, and the Public Realm) was established to improve infrastructure sustainability and award projects to organizations that address environmental concerns in a productive and effective manner. It is managed by CEEQUAL Ltd. and is based on three SD principles: environment, economics, and labelling the social component of SD with access. Customized scorecards may be used when a project does not fit into one of the pre-defined scorecards. The framework was initially created for the United Kingdom (UK) but has now been revised to be worldwide relevant and includes two categories of projects: domestic (UK and Ireland) projects and foreign initiatives. It also offers six project awards. This chapter reviewed frameworks, models, and guidelines for sustainable infrastructure projects, emphasizing the Be²st-In-Highway rating system, ENVISION certification policies, green guide for road rating systems, greenlights certification system or policy, Greenpaves rating system, Greenroads rating system, I-LAST certification tools, invest rating tools, CEEQUAL certification system, and stars rating tools.