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Specifically, this study aims to examine residents’ perceptions regarding the following: the sociocultural, environmental and economic impacts generated by the presence of Airbnb and the irritability caused by the presence of Airbnb based on Doxey’s Doxey (1975) irritation index (i.e. index).

Twenty-one semistructured in-depth interviews were conducted between February and March 2021 with residents of three condominiums in the Huancaro residential complex. Data were analyzed using the qualitative data analysis software ATLAS.ti 8.

Results showed that participants perceived negative economic impacts regarding investments, jobs, real estate prices and overall cost of living; negative sociocultural impacts regarding criminality, social conflicts and cultural exchange; and negative environmental impacts regarding sanitation in the context of the pandemic and the state of the Airbnb apartments. Further, it was found that participants related to the following three of the four stages of irritability: euphoria, apathy and annoyance.

It is necessary to complement the information with the perceptions of the residents about the city’s authorities and managers in the hotel business before the stage of the COVID-19 pandemic and the current stage.

The study identifies improve Airbnb operations like establishing health paraments and defining cohabitation rules at the condominiums.

The residents consider that visitors’ returns produce positive and negative impacts on the quality of life being important for understanding their perceptions.

Short-term rental companies, such as Airbnb, generate a range of impacts on urban residents, particularly when travelers encroach on areas of the city beyond the traditional “tourist bubbles.” This study explored the perceptions of Airbnb’s impacts on activities among residents of Huancaro, a residential section of Cusco-Peru, in the context of tourism reopening after a year of an almost complete halt in tourism activities because of the COVID-19 pandemic. The study also highlighted the heterogenetic responses to Airbnb within the community.

The purpose of this study is to understand how sustainability orientation influences economic, environmental and social sustainability performance and the moderating role of environmental hostility on these relationships. This study aims to deepen the consequences of the strategic commitment to sustainability of tourism firms located in the World Heritage Cities of Cusco, Lima and Arequipa in Peru.

The empirical analysis was conducted on a sample of 238 tourism firms. The authors implemented structural equation modelling technique to contrast the hypothesis.

The results shows that sustainability orientation has a positive effect on social and environmental performance mainly, but also on both financial and non-financial economic performance. The authors also detect a significant negative moderating effect of environmental hostility, which is accentuated in the case of social and economic-financial performance.

This study provides interesting practical implications in the tourism sector. Firms should develop a strategic commitment to sustainability, even in hostile environments, to improve their competitive position while reducing the negative impact of their activity on the natural and social environment. Institutions should encourage firms to commit to sustainability to achieve more sustainable and competitive urban tourism destinations.

This study advances the controversial debate on whether sustainability orientation of tourism firms leads to better economic performance. Moreover, from triple bottom line approach, it provides a holistic view of how sustainability orientation affects sustainability performance in all its dimensions. Finally, this paper delves into the complexities and challenges of sustainable urban tourism.

This paper aims to present the novel stacked machine learning approach (SMLA) to estimate low-cycle fatigue (LCF) life of SAC305 solder across structural parts. Using the finite element simulation (FEM) and continuous damage mechanics (CDM) model, a fatigue life database is built. The stacked machine learning (ML) model's iterative optimization during training enables precise fatigue predictions (2.41% root mean square error [RMSE], R² = 0.975) for diverse structural components. Outliers are found in regression analysis, indicating potential overestimation for thickness transition specimens with extended lifetimes and underestimation for open-hole specimens. Correlations between fatigue life, stress factors, nominal stress and temperature are unveiled, enriching comprehension of LCF, thus enhancing solder behavior predictions.

This paper introduces stacked ML as a novel approach for estimating LCF life of SAC305 solder in various structural parts. It builds a fatigue life database using FEM and CDM model. The stacked ML model iteratively optimizes its structure, yielding accurate fatigue predictions (2.41% RMSE, R² = 0.975). Outliers are observed: overestimation for thickness transition specimens and underestimation for open-hole ones. Correlations between fatigue life, stress factors, nominal stress and temperature enhance predictions, deepening understanding of solder behavior.

The findings of this paper highlight the successful application of the SMLA in accurately estimating the LCF life of SAC305 solder across diverse structural components. The stacked ML model, trained iteratively, demonstrates its effectiveness by producing precise fatigue lifetime predictions with a RMSE of 2.41% and an “R²” value of 0.975. The study also identifies distinct outlier behaviors associated with different structural parts: overestimations for thickness transition specimens with extended fatigue lifetimes and underestimations for open-hole specimens. The research further establishes correlations between fatigue life, stress concentration factors, nominal stress and temperature, enriching the understanding of solder behavior prediction.

The authors confirm the originality of this paper.

A research-practice team was convened for the Machupicchu World Heritage Site to participate in the Heritage Place Lab (HPL), with the goal of building a practice-informed research agenda designed to support the management needs of the site.

The agenda was built based on both the HPL methodology and a complementary one.

The proposed agenda centres on three research priorities: (1) Ecosystem services and well-being, (2) local sustainable development and cultural heritage, and (3) mixed-heritage research integration for conservation.

These priorities address conflicts between the two agencies that manage the site and a lack of awareness of heritage values in contrast to economic interests.

The article proposes new research-informed strategies for joint working between the managing agencies of a site where conservation needs conflict with public use demands, representing the first such case for Peru.

In recent years, interest in analysing the conceptualisation, measurement, determinants and consequences of sustainability orientation (SO) has intensified. The authors respond to a growing demand for research that delves into external and relational factors of SO in the context of hospitality and tourism industry. This paper aims to analyse how market dynamism (MD) influences the SO of firms in heritage tourism destinations (HTDs) and how bridging capital affects this relationship.

The authors empirically analysed a sample of 238 companies in the UNESCO World Heritage Cities of Peru. The proposed hypotheses have been tested using partial least squares structural equation modelling.

The results show a curvilinear relationship between MD and SO. Furthermore, bridging capital enhances the effects of MD, reducing the focal width of the U-shaped curve. Specifically, when hospitality and tourism firms (HTFs) in tourist destinations operate in environments with low-medium levels of dynamism, the diverse links generated slow down the development of an SO. However, the more dynamic the environment, the greater is the SO of firms with large amounts of bridging capital.

The findings highlight the importance of conducting an analysis based on a contingent approach that considers the coherence between external elements of the environment and internal factors. Such an approach helps to understand how HTFs in developing countries establish their SO. Managers should be aware of changes in demand and seek coherence between the level of MD and their inter-organisational relationships, and so be able to assess potential opportunities through developing an SO.

This study contributes to a better understanding of the sustainability commitment of HTFs in the sustainability of HTDs. This study connects the population ecology and social capital approaches, explaining this relationship from a disaggregated perspective – social and environmental – in the context of a developing country.

This article examines the dairy value chain in Southern Peru and identifies four critical success factors that can enhance the local situation.

The study employed descriptive research using semi-structured interviews with entrepreneurs from 17 cheese factories across eight districts, namely Azángaro, Ayaviri, Pucara, Lampa, Cabana, Acora, Pomata and Puno. Quantitative market data were also gathered and analyzed alongside qualitative views.

The study identified four critical issues: quality concerns in milk production, suboptimal managerial practices of cheese-processing plants, lack of compliance to regulations, particularly hygiene and environmental ones, and inadequate access to finance. The findings reveal a gap between the practices of the Puno region's dairy industry and world-class standards for cheese production. Urgent actions are required to improve product quality, increase access to finance, enhance managerial education and ensure compliance with regulations.

Results suggest critical issues to be prioritized, but the article does not propose how to solve the problems identified. External factors, such as economic changes, were also not considered. Interviews were conducted exclusively with cheese processing entrepreneurs, not milk producers.

This case study provides an insight into the interior of Peru, an under-researched region facing several development challenges. The findings have significant implications for dairy value chain stakeholders in Peru and other similar contexts.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Firms can improve their sustainability performance across different dimensions by developing a stronger orientation towards sustainability. Even though environmental hostility has scope to weaken the impact, those that maintain a strategic commitment to sustainability are better placed to remain competitive.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format

During the COVID-19 pandemic, Local Educational Management Units (UGELs), the key government stakeholders in the provision of education services in Peru, implemented responsive interventions. This paper analyses the relationship between UGEL organisational resilience and their responses during this period.

A survey was conducted to measure UGEL management practices, with 251 valid responses from directors and managers. Based on organisational resilience theory, 67 questions were grouped into 13 factors and 3 components: (1) leadership and organisational culture, (2) preparation for change, and (3) networks building on the Organisational Resilience Index (ORI). These factors correlated with the number of interventions and the impact of those interventions implemented by UGELs.

The findings indicated that of all ORI components, leadership and organisational culture ranked the highest. Moreover, the ORI is positively associated with the number of interventions and the perceived impact produced by those interventions. Interestingly, it was found that when the gender variable is included in the correlation between the ORI and the number of interventions, women leading UGELs display a higher number of interventions than their male counterparts; and the coefficient increases even more when women lead a UGEL in a more challenging context (i.e., when the UGEL is located in a low-income area and operates under scarce resources).

This is the first study in Peru which analyses organisational resilience in the education sector, specifically about UGELs during the COVID-19 pandemic. It may help set priorities for institutional strengthening initiatives aimed at improving organisational resilience, which is particularly important in such uncertain and changing contexts.