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This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

From a technological determinist perspective, machine learning (ML) may significantly contribute towards sustainable development. The purpose of this study is to synthesize prior literature on the role of ML in promoting sustainability and to encourage future inquiries.

This study conducts a systematic review of 110 papers that demonstrate the utilization of ML in the context of sustainable development.

ML techniques may play a vital role in enabling sustainable development by leveraging data to uncover patterns and facilitate the prediction of various variables, thereby aiding in decision-making processes. Through the synthesis of findings from prior research, it is evident that ML may help in achieving many of the United Nations’ sustainable development goals.

This study represents one of the initial investigations that conducted a comprehensive examination of the literature concerning ML’s contribution to sustainability. The analysis revealed that the research domain is still in its early stages, indicating a need for further exploration.

In tourism, it is a challenge to connect the commercial (economic) interests of the industry with the creation of social and environmental values along the principles of sustainability. The purpose of this paper is to develop a framework that can inspire businesses to use sustainability as a leading principle for their commercial activities, by means of expert consultation.

A study was conducted in which sustainability, foresight and business identity featured as the guiding concepts. Data were collected by means of expert consultation.

The study resulted in four scenarios for a sustainable tourism industry in 2040 which were framed by the key uncertainties driving this 2040 future. These scenarios offer a source of inspiration for tourism businesses to develop a proactive attitude and robust strategies for a sustainable yet competitive future. Subsequently, for each of the four business types (based on their identity or DNA) strategic questions were listed together with actionable strategic propositions with reference to sustainable development.

Data were collected with a sample of partners in the European Tourism Futures Research Network (convenience sample).

The key strategic questions and actionable strategic propositions are presented for four different business styles that allow them to implement sustainability in a commercial way.

The connection between the core concepts of sustainability, foresight and business identity offers a novel approach to the field of sustainability.

The paper aims to investigate the comfort-related performances of an innovative solar shading solution based on a new composite patented material that consists of a cement-based matrix coupled with a stretchable three-dimensional textile. The paper’s aim is, through a performance-based generative design approach, to develop a high-performance static shading system able to guarantee adequate daylit spaces, a connection with the outdoors and a glare-free environment in the view of a holistic and occupant-centric daylight assessment.

The paper describes the design and simulation process of a complex static shading system for digital manufacturing purposes. Initially, the optical material properties were characterized to calibrate radiance-based simulations. The developed models were then implemented in a multi-objective genetic optimization algorithm to improve the shading geometries, and their performance was assessed and compared with traditional external louvres and overhangs.

The system developed demonstrates, for a reference office space located in Milan (Italy), the potential of increasing useful daylight illuminance by 35% with a reduced glare of up to 70%–80% while providing better uniformity and connection with the outdoors as a result of a topological optimization of the shape and position of the openings.

The paper presents the innovative nature of a new composite material that, coupled with the proposed performance-based optimization process, enables the fabrication of optimized shading/cladding surfaces with complex geometries whose formability does not require ad hoc formworks, making the process fast and economic.

The study refers to a health-care organization engaged in adopting “home health care” as a new object of activity. This study aims to explore how the reconfiguration of the object influences the transformative perspective, affecting not just a service but a broader approach and meaning behind patient care. It also investigates the main contradictions at play and the levers to support inter-organizational learning while facing the new challenges and change processes.

The work is based on a qualitative and ethnographic methodology directed to examine cultural, practical and socio-material aspects. The activity theory is assumed as a powerful approach to understand collective learning and distributed agency processes.

The renewal of the new object of work is analyzed as a trigger for shifts in representations, cultural processes and collective support implemented by the organization. Three agentic trajectories – technical, dialogical and collaborative agency – were cultivated by the management to deliver home health care through joint exercises of coordination and control, dialogical spaces and collaborative process.

The data collection was disrupted by the pandemic. A follow-up study would be beneficial to inquire how the learning processes shifted or were influenced by the contextual changes.

This contribution provides a practical framework for health-care organizations aiming to navigate and explore the physiological tensions and contradictions emerging when the object of work is changed.

The paper develops the field of intra- and inter-organizational learning by presenting an intertwined and structural connection between these processes and the renewing of the object of work. It advises that processes of transformation must be handled with attention to the critical and collective dynamics that accompany sustainable and situated changes.

This study aims to evaluate the characteristics of climate change in Yunnan minority areas and identify an effective path to promote sustainable livelihoods based on climate change.

Taking Yunnan Province as an example, based on the expansion of the traditional sustainable livelihood framework, the authors constructed a system dynamics (SD) model of sustainable livelihood from the six subsystems of natural, physical, financial, social, human and cultural and tested the accuracy and effectiveness of the model with data from Cangyuan County. By adjusting these parameters, five development paths are designed to simulate the future situation of the livelihood system and determine the optimal path.

Climate change has exacerbated the vulnerability of people’s livelihoods. In future, each of the five development paths will be advantageous for promoting sustainable livelihoods. However, compared with Path I (maintaining the status quo), Path III (path of giving priority to culture) and Path IV (path of giving priority to economic development) have more obvious advantages. Path II (path of giving priority to people’s lives) gradually increases the development rate by promoting people’s endogenous motivation, and Path V (path of coordinated development) is better than the other paths because of its more balanced consideration.

The analytical framework of sustainable livelihoods based on the characteristics of minority areas is broadened. By constructing a SD model of the livelihood system, the limitations of traditional static analysis have been overcome and a development path for promoting sustainable livelihoods through simulation is proposed. This study offers a theoretical framework and reference method for livelihood research against the backdrop of climate change and a decision-making basis for enhancing climate adaptability and realizing sustainable livelihoods.

This paper aims to explore the intellectual structure shaping the circular economy (CE) discourse within the built environment in Africa.

The study adopted a bibliometric analysis approach to explore the intellectual structure of CE in the built environment in Africa. The authors collected 31 papers published between 2005 and 2021 from the Scopus database and used VOSviewer for data analysis.

The findings show that there are six clusters shaping the intellectual structure: demolition, material recovery and reuse; waste as a resource; cellulose and agro-based materials; resilience and low-carbon footprint; recycling materials; and the fourth industrial revolution. The two most cited scholars had three publications each, while the top journal was Resources, Conservation and Recycling. The dominant concepts included CE, sustainability, alternative materials, waste management, lifecycle, demolition and climate change. The study concludes that there is low CE research output in Africa, which implies that the concept is either novel or facing resistance.

The data were drawn from one database, Scopus; hence, adoption of alternative databases such as Web of Science, Google Scholar and Dimensions could potentially have yielded a higher number of articles for analysis which potentially would result in different conclusions on the subject understudy.

This study made a significant contribution by articulating the CE intellectual structure in the built environment, identified prominent scholars and academic platforms responsible for promoting circularity in Africa.

This paper aims to describe the effects of 3R (reduce, reuse and recycle) waste management initiatives on a campus community. It ascertains the environmental attitudes and opinions of the residents and investigates their behavioral responses to waste management initiatives. Practical implications for enhancing sustainable waste management are discussed in this paper.

Demonstration projects on waste segregation and recycling, as well as waste a reduction campaign, were set up on the campus to ascertain people’s attitudes and investigate their behavioral responses toward 3R practices. Data were collected through a questionnaire survey, observations, interviews and the project’s document review. A waste audit and waste composition analysis was carried out to assess waste flows and actual waste management behaviors and measure the change in the recycling rate.

3R waste management initiatives had positive effects on people’s attitudes about resources, waste management and consciousness of the need to avoid waste, but these initiatives did not affect recycling and waste management behavior. A voluntary approach-only cannot bring about behavioral change. Incentive measures showed a greater positive effect on waste reduction to landfills. Nevertheless, the demonstration projects helped to increase the overall campus recycling from 10 to 12 per cent.

This paper addresses a literature gap about the 3R attitudes and resulting behavior as part of campus sustainability of higher education institutions in a developing country. The authors’ results revealed hurdles to be overcome and presents results that can be compared to behavioral responses of people from other developed countries. These findings can be used as a guide for higher education institution’s policy-makers, as they indicate that voluntary instruments alone will not yield effective results, and other mechanisms that have an impact on people's behavior are required.