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This study examines the relationships between green management, perceived barriers to sustainability and innovation performance in Latin American SMEs and how formal and informal institutional factors influence these relationships.

The study used a dataset collected by Iberoamerican small and medium-sized enterprises (SMEs) Observatory in 2022 and included 15 country-specific indicators for Latin American countries published in international data sources to address the formal and informal institutional contexts. Accordingly, the final sample comprises 11,319 SME observations from 16 countries. The analysis involved three phases. First, an R-Type Exploratory Factor Analysis (EFA). Second, a cluster analysis. Third, a testing of the mediation theoretical model between the groups identified in the second study. To this purpose, the analysis included a multigroup analysis for covariance structure by three-stage procedures conducting structural equation modeling (SEM).

The results revealed that both formal institutions (such as government policies and regulations) and informal institutions (such as social norms and cultural values) have a positive impact of green management practices on innovative outcomes in SMEs. However, the magnitude of this impact varies depending on the level of country-specific performance of the context. Additionally, the perceived barriers to sustainability do not play an intermediary role in this relationship within both institutional contexts. However, the effect of perceived barriers to sustainability on SMEs' innovation performance is diminished in the informal institutional context.

These conclusions provide valuable insights for policymakers seeking to promote sustainable development in Latin America, highlighting the importance of institutional support in fostering SMEs' adoption of ecological practices.

Este estudio examina la relación entre la gestión verde, las barreras percibidas a la sostenibilidad y el rendimiento de la innovación en las PYME latinoamericanas y cómo los factores institucionales formales e informales influyen en esta relación.

El estudio utilizó un conjunto de datos recogidos por el Observatorio Iberoamericano de la PYME y se incluyó 15 indicadores de desempeño de países de América Latina publicados en fuentes de datos internacionales para abordar los contextos institucionales formales e informales. Por consiguiente, la muestra de datos final del estudio lo conforman 11,319 observaciones de Pymes de 16 países. El análisis incluyó tres fases. En primer lugar, un análisis factorial exploratorio. Segundo un análisis de conglomerados o clústeres. En tercer lugar, una prueba del modelo teórico de mediación entre los grupos identificados en el segundo estudio. Para ello, el análisis incluyó un análisis multigrupo para la estructura de covarianza mediante un procedimiento de tres etapas por medio de un modelado de ecuaciones estructurales.

Los resultados revelaron que tanto en las instituciones formales (como las políticas y normativas gubernamentales) como en las informales (como las normas sociales y los valores culturales) las prácticas de gestión verde influyen positivamente en desempeño innovador. Sin embargo, la magnitud de este impacto varía según el nivel de desempeño del contexto de estos países. Además, el estudio mostró que las barreras percibidas a la sostenibilidad no tienen un papel de mediación en esta relación, en ambos contextos institucionales. Finalmente, se observó que el efecto de las barreras percibidas a la sostenibilidad sobre el desempeño innovador disminuye en el contexto institucional informal.

El trabajo aporta valiosas ideas para los responsables políticos que buscan promover el desarrollo sostenible en América Latina, destacando la importancia del apoyo institucional para fomentar la adopción de prácticas verdes por parte de las pymes.

This study aims to validate the 17-item Utrecht Work Engagement Scale (UWES-17) within Public Primary Healthcare Centers, addressing the need for a reliable measure of work engagement among health workers.

This study conducted a validity and reliability analysis of the UWES-17 among community health workers in Chile, exploring its psychometric properties and structure, focusing on its three-factor structure and examining the causal relationships between work engagement dimensions.

The UWES-17 demonstrated a valid and reliable three-factor structure among Chilean health workers, with a significant construct dependence among its dimensions –vigor, dedication and absorption – highlighting their interrelated nature.

While validated for community health workers in Chile, the UWES-17’s applicability across healthcare settings and professions warrants further investigation.

The validated UWES-17 can guide human resource practices in assessing and enhancing work engagement among health workers, potentially improving employee well-being and performance.

Addressing work engagement and burnout among health workers is vital for a resilient healthcare system. This validated measure contributes to efforts to improve health worker well-being and healthcare service quality.

This study contributes a validated measure of work engagement specifically tailored to public primary healthcare centers, offering valuable insights for future research on health workers' well-being and performance. This research enhances the understanding of organizational dynamics within public healthcare settings.

This study aims to examine the intricate relationship between Chile’s coastal communities and the increasing effects of climate change, with a focus on Caleta Lenga as a case study. Chile’s extensive coastline is closely linked to the country’s economic well-being and the livelihoods of millions of people. The mounting threats posed by climate change require immediate action. To strengthen resilience and reduce risk, adaptive measures are imperative. However, effective adaptation is hindered by numerous barriers, including adaptive capacity and governance challenges.

This study uses a case study approach, which centres on Caleta Lenga’s unique socio-environmental and demographic context. This study used semi-structured interviews and historical reconstruction to reveal a socio-economic and environmental narrative that was influenced by significant events and transitions.

The residents’ perception of climate change impacts was viewed through the lens of industrial activities and changing weather patterns. This study emphasizes the community’s resilience in the face of changing socio-environmental dynamics. It highlights the importance of informed decision-making, community cooperation and the preservation of ancestral knowledge in promoting adaptive strategies based on community solidarity and collective decision-making. The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

Given the evolution that knowledge management (KM) has undergone since the advent of the digital transition, the purpose of this paper is to evaluate how KM processes have changed as a result of agile organisations’ adoption of digital technologies.

Years have passed since the onset of the fourth industrial revolution, and the technologies unique to this revolution have permeated every organisation to varying degrees. Whether organisations have been at the forefront of technological innovation or have had to adapt to much more advanced digitised processes, they have had to change how they manage operations internally and with the remainder of the supply chain they serve. These changes have been much more significant for agile organisations, which rely heavily on digital systems and have strong supplier and customer interactions. Due to the large amount of data generated, these organisations are referred to as knowledge-intensive businesses, and as a result, their KM processes are of the utmost importance. For this reason, a multiple case study with a grounded theory approach has been implemented to carry out a field analysis.

The results show that Industry 4.0 technological advances can be included in the scientific debate on KM and agile innovation, given the effects that such technologies have on organisations.

In today’s increasingly connected world, these findings have the potential to generate significant economic value by improving coordination and collaboration in KM processes.

Expanding on the real-world financial market framework and considering the current market turmoil, with cryptocurrencies (where contracts for difference (CFDs) are extremely common) (Hasso et al., 2019) displaying unprecedented volatility, the authors aim to test in an online laboratory setting whether displaying a risk warning message is truly effective in reducing the level of risk taken and whether the placement of this method makes a difference.

To explore the impact of risk disclosure framing on risk-taking behavior, the authors conducted an online pair-wise lottery choice experiment. In addition to manipulating risk awareness through the presence or absence of risk warning messages of varying intensity, the authors also considered dynamic inconsistency, cognitive ability and questionnaire-based financial risk tolerance (FRT) scores. The authors aimed to identify potential relationships between these variables and experimentally elicited risk aversion. The authors' study offers valuable insights into the complex nature of risky decision-making and sheds light on the importance of considering dynamic inconsistency in addition to risk awareness and aversion.

The authors' results provide statistical evidence for the efficacy of informative and very salient messages in mitigating risky decision, hinting at several policy implications. The authors also provide some statistical evidence in support of the relationship between cognitive abilities and risk preferences. The authors detect that individual with low cognitive abilities scores display great risk aversion.

This study investigates the impact of risk warning messages on investment decisions in an online laboratory setting – a unique approach. However, the authors go beyond this and also examine the potential influence of dynamic inconsistency on decision-making, adding further value to the literature on this topic. To ensure a comprehensive understanding of the participants, the authors collect data on cognitive ability and FRT using questionnaires. This study provides a simple and cost-effective framework that can be easily replicated in future research – a valuable contribution to the field.

This study examines the impact of climate legislation on green agricultural production and tests the heterogeneous impact of different types of climate legislation on agricultural green production.

In this study, the super-slacks-based measure (super-SBM) model is used to calculate agricultural green total factor productivity (AGTFP). The impact of climate legislation (including legislative acts and executive orders) on AGTFP is examined through regression analysis. The transmission mechanism of climate legislation affecting agricultural green production is further investigated.

This study shows that climate legislation has a positive long-term effect on AGTFP. It stimulates innovation in agricultural green technology but has a negative impact on resource allocation efficiency. Executive orders have a more significant effect on AGTFP than climate legislative acts. The effectiveness of climate legislation is more significant in countries with stronger legislation. Moreover, climate legislation reduces AGTFP in low-income countries while enhancing AGTFP in high-income countries. This effect is most prominent in upper-middle-income countries.

This study examines the different effects of various types of climate legislation, considering the level of economic development and the strength of the legal system on AGTFP. The findings can offer a global perspective and insights for China’s policymaking.

The purpose of this paper is to address the challenging issue of developing a quantitative approach for the representation of cultural significance data in heritage information systems (HIS). The authors propose to provide experts in the field with a dedicated framework to structure and integrate targeted data about historical objects' significance in such environments.

This research seeks the identification of key indicators which allow to better inform decision-makers about cultural significance. Identified concepts are formalized in a data structure through conceptual data modeling, taking advantage on unified modeling language (HIS). The design science research (DSR) method is implemented to facilitate the development of the data model.

This paper proposes a practical solution for the formalization of data related to the significance of objects in HIS. The authors end up with a data model which enables multiple knowledge representations through data analysis and information retrieval.

The framework proposed in this article supports a more sustainable vision of heritage preservation as the framework enhances the involvement of all stakeholders in the conservation and management of historical sites. The data model supports explicit communications of the significance of historical objects and strengthens the synergy between the stakeholders involved in different phases of the conservation process.

In public health emergencies, seeking confirmed cases’ activity trajectory information (CCATI) is crucial to the public’s efforts to combat the epidemic. The public can stabilize their sentiments and mitigate the risk of cross-infection by obtaining CCATI. We investigated the factors influencing users' intentions to seek CCATI to enhance the government’s risk communication capabilities and improve information platform services.

We analyzed how information ecological factors affect the intention to seek CCATI through perceived value. Data was collected from 429 Chinese citizens during the fourth wave of the coronavirus disease 2019 (COVID-19) pandemic. We used the structural equation model technology and bootstrap mediation effect test to examine the model.

Information understandability, information relevance, perceived severity and perceived vulnerability directly and positively affect the intention of seeking CCATI. While, the above relationships are also partially mediated by emotional value and functional value. Social support directly and negatively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value and functional value. Curiosity directly and positively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value. The relationship between the quality of the search service and the intention of seeking CCATI is not significant, instead, it is fully mediated by functional value. The influence effect of information relevance on the intention of seeking CCATI is the greatest, followed by perceived vulnerability. The mediating effect of functional value is higher than emotional value.

The findings may help governments enhance their risk communication capabilities and improve epidemic prevention and control measures, enhancing the appeal of information platforms.

We focused on CCATI, an area with limited scholarly attention. We analyzed CCATI-seeking factors using an information ecology theory, introducing perceived value as a mediator, thus offering novel perspectives and models.