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The authors investigate the impact of the US stock market on the economies of the BRICS and major industrialized economies (G7).

The authors construct the world economy and the vulnerability between economies using three economic integration variables: bilateral trade, bilateral direct investment and bilateral equity positions. Global vector autoregressive (GVAR) empirical studies usually adopt trade integration to estimate models. The authors complement these studies by using bilateral financial flows.

The authors summarize the results in four points: (1) financial integration variables increase the effect of the US stock market on the BRICS and G7, (2) the US shock produces similar responses in these groups regarding industrial production, stock markets and confidence but different responses regarding domestic currencies: in the BRICS, the authors detect appreciation of the currencies, while in the G7, the authors find depreciation, (3) G7 stock markets and policy rates are more sensitive to the US shock than the BRICS and (4) the estimates point out to heterogeneities such as the importance of industrial production to the transmission shock in Japan and China, the exchange rate to India, Japan and the UK, the interest rates to the Eurozone and the UK and confidence to Brazil, South Africa and Canada.

The results reinforce the importance of taking into account different levels of economic development.

The authors construct the world economy and the vulnerability between economies using three economic integration variables: bilateral trade, bilateral direct investment and bilateral equity positions. GVAR empirical studies usually adopt trade integration to estimate models. The authors complement these studies by using bilateral financial flows.

The purpose of this research is to test the effectiveness of integrating Grasshopper 3D and measuring attractiveness by a categorical based evaluation technique (M-MACBETH) for building energy simulation analysis within a virtual environment. Set of energy retrofitting solutions is evaluated against performance-based criteria (energy consumption, weight and carbon footprint), and considering the preservation of the cultural value of the building, its architectural and spatial configuration.

This research addresses the building energy performance analysis before and after the design of retrofitting solutions in extreme climate environments (2030–2100). The proposed model integrates data obtained from an advanced parametric tool (Grasshopper) and a multi-criteria decision analysis (M-MACBETH) to score different energy retrofitting solutions against energy consumption, weight, carbon footprint and impact on architectural configuration. The proposed model is tested for predicting the performance of a traditional timber-framed dwelling in a historic parish in Lisbon. The performance of distinct solutions is compared in digitally simulated climate conditions (design scenarios) considering different criteria weights.

This study shows the importance of conducting building energy simulation linking physical and digital environments and then, identifying a set of evaluation criteria in the analysed context. Architects, environmental engineers and urban planners should use computational environment in the development design phase to identify design solutions and compare their expected impact on the building configuration and performance-based behaviour.

The unavailability of local weather data (EnergyPlus Weather File (EPW) file), the high time-resource effort, and the number/type of the energy retrofit measures tested in this research limit the scope of this study. In energy simulation procedures, the baseline generally covers a period of thirty, ten or five years. In this research, due to the fact that weather data is unavailable in the format required in the simulation process (.EPW file), the input data in the baseline is the average climatic data from EnergyPlus (2022). Additionally, this workflow is time-consuming due to the low interoperability of the software. Grasshopper requires a high-skilled analyst to obtain accurate results. To calculate the values for the energy consumption, i.e. the values of energy per day of simulation, all the values given per hour are manually summed. The values of weight are obtained by calculating the amount of material required (whose dimensions are provided by Grasshopper), while the amount of carbon footprint is calculated per kg of material. Then this set of data is introduced into M-MACBETH. Another relevant limitation is related to the techniques proposed for retrofitting this case study, all based on wood-fibre boards.

The proposed method for energy simulation and climate change adaptation can be applied to other historic buildings considering different evaluation criteria and context-based priorities.

Context-based adaptation measures of the built environment are necessary for the coming years due to the projected extreme temperature changes following the 2015 Paris Agreement and the 2030 Agenda. Built environments include historical sites that represent irreplaceable cultural legacies and factors of the community's identity to be preserved over time.

This study shows the importance of conducting building energy simulation using physical and digital environments. Computational environment should be used during the development design phase by architects, engineers and urban planners to rank design solutions against a set of performance criteria and compare the expected impact on the building configuration and performance-based behaviour. This study integrates Grasshopper 3D and M-MACBETH.

The purpose of this paper is to identify the factors that promote the successful adoption of lean practices in manufacturing firms operating in developing economies in South America.

Based on the results obtained from using structural equation modeling to analyze the collected data, the authors argue that manufacturing organizations need to identify the factors that assist in successfully adopting lean practices in manufacturing firms operating in developing economies in South America. A dataset of 1,809 responses, gathered from manufacturing firms as part of the World Management Survey, was used to find support for the proposed hypotheses.

Several hypotheses were tested finding that lean practice success factors such as organizational targets proved to have a significant and positive relationship with the mediating factor, performance management. Likewise, performance management was also found to have a significant and positive relationship with lean practices adoption. Human capital management (HCM) has a significant but negative predictive relationship with lean practices.

The empirical results of this study provide valuable managerial insights. The results are therefore limited to the economies analyzed and to the variables surveyed as part of the World Manufacturing Survey research.

The results of this research provide a starting point for researchers to continue studying the key lean practice factors and relationships in the achievement of improved performance management, thereby helping managers in developing strategies to improve the lean capabilities of their practices. This, in turn, will increase the organization's competitive advantage sustainably.

This paper identifies and tests the impact of key factors on successful lean practices adoption in South American organizations in the manufacturing sector.

This study aims to understand the leadership characteristics of founders of social and environmental enterprises in Latin America who have achieved business success with a focus on sustainability despite difficult social, economic, political and even health contexts in which they live.

This nonexperimental research is a qualitative, descriptive and exploratory study. Twenty-one in-depth interviews were conducted with social/environmental entrepreneurs of the Kunan Network (an organization that groups the entrepreneurial ecosystem in Peru).

The study analyzes the leadership profile and characteristics of entrepreneurs who have created profitable businesses with a social/environmental focus that solve relevant social problems and contribute to improving people’s quality of life and caring for the environment.

Although only 21 business leaders with outstanding participation and positive social and environmental impact were included in this study, they were supported and recognized by the Kunan Network.

The study contributed to the conceptualization and understanding of the profile of leaders of social and environmental enterprises, whose main challenges are to solve social or environmental problems of society and contribute to improving the quality of life of people and the environment. Knowing the profile of these entrepreneurs generates value to the knowledge of the subject and contributes to understand and propose strategies to improve the ecosystem of social-environmental entrepreneurship in emerging countries such as Peru. This will contribute to the creation of relationships and alliances with various social actors: public, private, third sector, academia, among others, for the management and promotion of sustainable business.

Narratives about racism and equity in schools have been documented in varying degrees of detail and accuracy in the news media (Farhi, 2012). Thus, race is front and center in the news reports, demonstrating how education policies are detrimental to the Island while also contending that policy drivers of Ley de Reforma Educativa de Puerto Rico (LREPR) are ignoring the racialized consequences of these neoliberal policies.

To examine the implementation of LREPR in education discourse in the media, a content analysis on texts in the Puerto Rican media was conducted. To conduct the analysis, an original dataset of texts from the four major newspapers in Puerto Rico: El Nuevo Dia, El Vocero, Primera Hora and The San Juan Daily Star (n = 119) was created.

The study shows how the collective resistance of Puerto Ricans towards LREPR suggests racialized consequences for this “post”-colonial Island as they engage in dialogues about property rights and dispute policy discourse. Data suggests the alarming effects of neoliberalism as perceived by Puerto Rican citizens, while highlighting shared concerns aligned with elements of critical race theory such as colorblindness and property rights.

This study breaks ground by identifying a new intellectual pursuit of charter schools purchasing land or buildings in marginalized communities. It argues that the news coverage demonstrates how Puerto Rican citizens have illuminated the purchase of land for charter schools, viewing it as an act of colonialism veiled as market competition and economic improvement for the Island. Implications for policy and practice are discussed.

The findings from this research contribute to how critical race theory is used and conceptualized in the educational leadership field. Additionally, the study contributes to the field of research by conducting a content analysis of newspaper articles in Puerto Rico, looking through the CRT lens to illuminate systemic racism that is present in media accounts of education.

The objective of this research is to develop an solution to water management at the scale of buildings, through the technological resources. Automating analysis using 3D models helps increase efficiency in buildings during the operational phase, consequently promotes sustainability.

This study presents a methodology based on Design Science Research to automate water management at building scale integrating BIM-IoT-FM. Data from smart meters (IoT) and the BIM model were integrated to be applied in facilities management (FM) to improve performance of the building. The methodology was implemented in a prototype for the web, called AquaBIM, which captures, manages and analyzes the information.

The application of AquaBIM allowed the theoretical evaluation and practical validation of water management methodology. By BIM–IoT integration, the consumption parameters and ranges for 17 categories of activities were determined to contribute to fulfill the research gap for the commercial buildings. This criterion and other requirements are requirements met in order to obtain the AQUA-HQE environmental sustainability certification.

Traditionally, water management in buildings is based on scarce data. The practical application of digital technologies improves decision-making. Moreover, the creation of consumption indicators for commercial buildings contributes to the discussion in the field of knowledge.

This article emphasizes the investigation of the efficiency of use in commercial buildings using operational data and the use of sustainable consumption indicators to manage water consumption.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

The paper aims to measure the nature and extent of international diversification followed by Indian companies over the period 2009–10 to 2017–18. The study also aims to assess the pattern of transition of companies to various strategies of international diversification.

Jacquemin and Berry’s (1979) entropy approach has been applied to measure the extent and assess the nature of international diversification. Further, the study deploys two-dimensional categorical framework advocated by Vachani (1991) and categorizes the firms into four international diversification strategies.

Larger proportion of companies in internationally low diversification (ILD) strategy reveals low extent of international diversification of Indian companies. The pattern of diversification depicts that the trend of moving forward is speeding up sequentially toward higher strategies of growth. Both the extent and pattern depict that the nature of diversification is shifting from relatedness to un-relatedness with transitions from intra-regions to inter-regions. The study confirms the applicability of eclectic theory and psychic distance Uppsala model in determining the preference of international diversification strategies and process of internationalization respectively in Indian firms.

The paper is first of its kind on account of several reasons. First, such a comprehensive evaluation of preferences for international diversification strategies has never been taken up with reference to emerging economies, especially India. Second, the paper is not static and does not limit itself only to the identification of favored strategies of Indian companies but also gauges the transitional behavior of Indian companies across different strategies at different points of time. In fact it is the first study to statistically research the applicability of psychic distance model in firms in emerging economy. Third, the results not only measure the quantum of international diversification but also assess the extent of relatedness and un-relatedness followed by Indian companies.