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Structural Health Monitoring (SHM) aims at detecting, localizing, and characterizing damages in civil, mechanical, and aerospatial structures, which are hardly detectable in visual inspections. The collection, analysis, and visualization of data captured by sensors installed on these structures can be strongly supported by modern techniques of Data Science. In particular, the visualization of these data provides valuable help to experts on structural health and decision makers on preventive and corrective maintenance. Unfortunately, existing systems of data visualization still demand those stakeholders for a high level of software programming skills to take full advantage of visual and interactive exploration of data that sensors capture and output. This work introduces a model-driven approach to develop data visualization in the domain of structural health monitoring, in particular, of bridges. This approach is based on the definition of a Domain Specific Language (DSL) that describes the main concepts of an infrastructure of sensors typically used in SHM, along with common graphics and visual alternatives of data visualization. This DSL is instantiated by a modeling language, composed of a metamodel, a visual representation of concepts, and a set of model-to-text transformation rules. In this way, non-programmers can implement their own data visualization from a graphical and intuitive design, by automatically generating the corresponding code. This approach was implemented in a modeling and code-generation tool, called Vis4bridge, whose usability and output were successfully evaluated through the development of tasks and case studies.

Purpose Given the importance of growth-oriented entrepreneurship in the context of economic development and the need to understand how rural communities can be developed, the purpose of this research paper is to determine how the drivers of growth expectations differ between urban and rural settings. Design/methodology/approach The methodology is threefold: firstly, a descriptive analysis with non-parametric testing is conducted; then pooled regression model is used to analyse the predictors of growth expectations in both contexts, and finally, coarsened exact matching is used to identify possible self-selection bias. Findings In contrast to mainstream entrepreneurship theory, it is found that entrepreneurs’ intrinsic knowledge, skills and abilities are not significant in the rural-specific model. The only exception is entrepreneurs’ educational level, the importance of which is emphasised as a pivotal factor in increasing high-growth ventures in rural communities. Additionally, when self-selection is eliminated, rurality worsens growth intentions. Practical implications There is evidence that some growth-oriented entrepreneurs self-select into rural communities. Because the high-growth entrepreneurial dynamics in rural areas are unique, public policies should target purpose-driven entrepreneurial education. This includes encouraging “lifestyle entrepreneurship” (e.g. retirees returning to rural areas to become entrepreneurs), preventing entrepreneurial brain drain in rural areas and attracting highly educated urban entrepreneurs to exploit opportunities in rural areas. Originality/value This research attempts to contribute to the ongoing debate regarding the factors that drive high-growth entrepreneurs in rural areas by analysing rural entrepreneurs in the high-growth context of a developing economy. The focus is on Chile – a country that is rarely investigated compared to the USA or Europe – to extend the literature on high-growth ventures and entrepreneurial ecosystems.

The Latin American region has attracted a great amount of interest among management and organizational scholars in recent years. The distinctive economic, social, and institutional features of the region represent a unique opportunity for theory building and testing in management and business research. This research answers the following overarching question: How the research about organizations in the Latin American context has evolved and how could it move forward? We perform an in-depth analysis consisting of a systematic review and bibliometric techniques (i.e., co-occurrence, co-citation, and co-authorship network analysis) of 1940 peer-reviewed articles published in the field during the 2004–2021 period. We examine the most influential publications, authors, journals, and research organizations. Building on our analysis and results, we describe current research hotspots and suggest avenues for future research. Our results contribute to a broad discussion relative to the relevance of context in the organizational research community, providing the first holistic analysis of it.

This study explores the emergence of a new entrepreneurship phenomenon (digital social entrepreneurship) as a result of the collaboration among many agents (N-Helix), given the government’s limited capacity to respond to the stakeholders’ needs satisfaction related to an exogenous event (e.g., the COVID-19 pandemic). Our theory development is based on three ongoing academic debates related to (a) the unrepresentativeness of the stakeholder theory in entrepreneurship research; (b) the emergence of digital social entrepreneurship (DSE) as a bridge between stakeholders’ needs, socio-economic actors, and digital-social initiatives; and (c) the role of N-Helix collaborations to facilitate the emergence of global knowledge-intensive initiatives and the rapid adoptions of open innovations. Our results support our assumptions about the positive mediation effect of DSE in the relationship between N-Helix collaborations and stakeholders’ satisfaction. Notably, results show how pandemic has intensified these relationships and how DSE in N-Helix collaborations can generate social impacts globally. Some implications for policy-makers have emerged from our results that should be considered during/post-COVID-19 pandemic.

Purpose Technological entrepreneurship is distinguished from other types of initiatives by its innovative characteristics and rapid growth, as well as by the high uncertainty it faces, both in terms of investment cost and capacity for continuous adaptation. The purpose of this study is to investigate the definitions, measures and methods that have been used to investigate the phenomenon and to define the process of the “entrepreneurial journey” and the associated typologies according to the technological level. Design/methodology/approach This paper provides a systematic review of the literature on technological entrepreneurship focusing on emerging economies in Latin America. Based on the review of 62 papers, it analyses the current state and future research perspectives on the topic. Findings The authors can conclude that technological entrepreneurship in Latin America has great opportunities, especially linked to growth, but faces the threats of an uncertain and dynamic environment. Taking advantage of technologies allows the formulation of unique value propositions linked to the environment through innovation that improves the quality of life of the population. Research limitations/implications This study is a starting point for the development of research on resilient technology ventures. Latin America represents a limited location but offers insight into the developing phenomenon to measure the impacts that this phenomenon generates in society. Originality/value Considering the possibilities offered by technology and its continuous evolution, the impact that this type of entrepreneurship generates on the environment can be on a global scale. However, high growth and success are as likely as a failure and this is part of the improvement process.

The financial market has been transformed by FinTech platforms, which offer innovative products and services. FinTech platforms use a combination of technologies to digitalize processes and introduce new business models with unique characteristics. The benefits of FinTech initiatives are not limited to boosting the economic development of emerging economies; they also have a transformative impact on society and stakeholders. The transformative impact enables the democratization of digital services, making them accessible to marginalized groups that the traditional financial banking system has excluded. Our study theorizes how FinTech organizational capabilities (digital technologies, digital infrastructures, and talented employees) and FinTech ecosystem conditions (competitors, regulations, digital gender gaps, and institutional gaps) impact inclusion, transparency, and market expansion inspired by transformative entrepreneurship. We tested it through a multilevel analysis using data from 333 worldwide large FinTech platforms combined with secondary data at the country level. Results provide insights into how digital infrastructure, a skilled workforce, and closing the gaps for disadvantaged groups are crucial determinant factors for increasing FinTech impacts in emerging economies. Several implications for entrepreneurs, society, and policymakers emerge as a call for fostering digital societies and FinTech industry in emerging economies.

Digital technologies have a significant potential for collaboration, designing, and implementing better business initiatives. COVID-19 global lockdowns have increased the emergence of the Digital Social Entrepreneurship (DSE) phenomenon, which has been key in responding to social needs using digital technologies. The DSE scholarly discussion has been limited to a few studies. Therefore, little is known about theoretical foundations that explain the intersection between digital, social, and entrepreneurship. Based on an integrative literature review and a thematic case study, this study theorizes the micro-foundations of digital-social value-creation and explores the flourishment of the DSE phenomenon during/after the global lockdowns. Our findings contribute to the literature by extending the DSE definition and identifying the fostering (micro, meso, and macro) conditions involved in the digital-social value-creation process. Several implications emerged from the DSE learning, adaptation, and co-creation strategies/practices.

Purpose Innovative initiatives focusing on social and environmental impact often need help to secure traditional financial resources for their launch. Equity crowdfunding platforms (ECF) provide a potential funding source for these initiatives, particularly for technological inventors. This research paper aims to theorize how ECF campaigns attract investors to invest in technological initiatives with social and environmental value proposition impacts. Design/methodology/approach Using an inductive qualitative approach, the authors have gained insights, from 35 sustainable technological projects sponsored by a Chilean equity-crowdfunding platform, regarding the business model's transformation to achieve sustainable social and environmental impacts. Findings Findings show that disruptive technologies and sustainable aims are pivotal factors in successfully attracting investors to support sustainable technological initiatives through ECF platforms or campaigns. These factors led investors to actively engage with these projects and contribute to the value-creation process by transforming business models with social and environmental impacts and utilizing sustainable technology to enhance efficiency and optimize available resources. Research limitations/implications Due to the nature of this research, researchers must test the proposed conceptual framework using longitudinal quantitative data from multiple ECF platforms, technological solutions and investors worldwide in future research to enhance the comprehension of this phenomenon. Practical implications The findings highlight the significant contribution of ECF platforms and technological portfolios toward creating sustainable impacts. It is a good signal for investors interested in investing in technological initiatives and addressing social and environmental challenges. Social implications The contribution of disruptive technological projects from ECF platforms and ECF investors to tackle social and environmental challenges. Originality/value This research theorizes how ECF platforms tackle social challenges by encouraging investors to invest and participate with entrepreneurs in the co-creation process of sustainable technological solutions.

Implementing nationally determined contributions is more challenging for developing countries given potential economic consequences. Chile, a developing economy, is committed to reaching carbon neutrality by 2050. To do so, Chile announced multiple mitigation strategies such as phasing out coal by 2040, peaking emissions by 2025, and developing renewable energies. Fortunately, Chile holds a prominent renewable potential, standing out for solar, but it also has a significant challenge decarbonizing an economy that heavily relies on fossil fuels. The contribution of this paper is twofold. First, the first country-level disaggregated version of GCAM Latin America (GCAM-LA) was developed, where all South American countries are modeled as an independent energy-economy region. This model includes Chile as a separated region and incorporates interactions among the energy, water, agriculture and land use, economy, and climate systems. Second, different decarbonization strategies to reach carbon neutrality by 2050 were obtained, considering technology availability and high renewable energy potential. Results indicate that carbon neutrality is feasible when enforcing different combinations of the current Chilean mitigation strategies, even delaying coal phase-out by five years and failure of developing advanced solar technologies. If some policies are not fully implemented, such as delaying coal phase-out by five years or failure of developing advanced solar technologies, carbon neutrality can be achieved by incurring in a higher capital cost in the power sector. Moreover, decarbonization is mainly driven by high electrification levels in the final demand sector, reaching 53.7%–62.9% of the total consumption. However, such levels of electrification are reduced, particularly in the transport sector, when Chile relies on negative emissions from the land use and forestry sector.

In order to reduce greenhouse gas emissions, countries worldwide are transforming their energy systems with higher shares of renewable energy and smart technologies for demand response. Microgrids play an essential role in the transformation of electric grids to smart grids. However, renewable sources present new challenges, particularly those of high variability, which creates uncertainties in the supply side that can affect the security of electricity access at affordable prices. This paper proposes a novel Stackelberg stochastic model to account for different sources of uncertainty. The Stackelberg model considers microgrids as leaders (upper-level problem) with uncertainty regarding the availability of wind and solar sources and electricity prices. Availability of renewable sources is modeled via chance constraints, which allows assessing the risk of microgrids over-committing supply levels. Uncertainty in electricity prices is modeled via a set of demand scenarios with a given probability distribution. The lower-level problem of the Stackelberg problem considers an electricity dispatch problem for each demand scenario. The proposed model allows measuring the strategic actions of microgrids when facing different types of uncertainties and how the smart grid should adapt to guarantee that demand levels are supplied. The results show the effectiveness of the proposed method. We find that microgrids risk levels above 30% do not correlate with further benefits, such as reduced electricity prices. We also identified that in average, depending on the social cost of carbon and demand level, microgrids can cover their own demand and supply 15% of the electricity demand in the grid.