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The purpose of this paper is to verifying the economic resilience of islands and, in particular, the role of the tourism sector in the reaction to the most recent economic crisis. The analysis concerns insular contexts, such as the greater island regions in the Mediterranean basin.

Static and dynamic panel data techniques are used for a sample of 13 island economies over a period of 16 years.

Results show that the growth factors for regional islands are similar to the ones usually considered for other regions, but the tourism-led growth hypothesis is highly supported. Tourism demand more than supply plays a role together with accessibility. The crisis has reduced the importance of tourism supply, while tourism demand and accessibility have remained crucial for growth together with other traditional engines of growth.

To the best of authors’ knowledge, none of the current works has considered territorial determinants and tourism indicators inside the same framework analyzing growth in island economies by considering the changes occurred during the crisis explicitly.

Local development is becoming increasingly dependent on the tourism industry, especially in fragile contexts such as islands, where tourism makes it possible to overcome, at least in part, the obstacles linked to geo-morphological characteristics. The relevance of the sector for the economy is documented by the international literature and underscored in various studies (Balaguer & Cantavella-Jorda, 2002; Croes & Vanegas Sr, 2008; Dritsakis, 2004; Durbarry, 2004; Eugenio-Martin, Martin-Morales, & Sinclair, 2008; Eugenio-Martin, Morales, Scarpa, 2004; Hazari & Sgro, 1995; Maloney & Montes Rojas, 2005; Pigliaru & Lanza, 2000; Sequeira & Maçãs Nunes, 2008), which explain why tourism is attributed a leading role and even recognized as a driving force for the local economy. It is capable of creating new economic opportunities, especially, as mentioned, for island contexts, and even more so for those of modest size, which require special attention given the specific characteristics that distinguish them from the mainland. Islands are, indeed, a unique cluster despite belonging to individual states, and, being located in different regions of the world and featuring different stages of economic development and tourism, they are the beneficiaries of development policies focused on the economy of services and culture. This is essentially due to reasons linked to specific territorial features in terms of morphology and geographical location, primarily associated with the condition of isolation from the mainland. The result is a particular condition that characterizes them both materially, with effects on transport and logistics, and therefore on their economic and production autonomy, and ideally, i.e. in relation to the place that islands have in the collective imagination. They are associated with the desire to escape, to get in touch with nature, to slow down the pace and break patterns, and to attract a large number of visitors who, however, are concentrated mainly during the summer months. This leads to many difficulties and has several implications, in terms of pressure and quality, and requires careful management from very early on, from the stage of discovery of the destination by the first tourists, in order to guide development by limiting the drawbacks.

The hotel industry is one of the leading producers of waste worldwide, and more than one-third of that waste is food. The purpose of this study is to investigate hotel managers' awareness of sustainable and circular practices, with a focus on their attitude toward and perception of food waste in Apulia, Southern Italy. The region has a tourist vocation, accounts for 3.3 million tourists per year and plays a key role in the Italian tourism.

The study was conducted using a questionnaire administered to ten hotel managers located in Apulia. In light of the Checkup Tool Speditivo, a sustainability score indicates managers' awareness of and attitude toward sustainability and circularity, distinguishing between “beginner” (0–25 points), “concerned” (26–50 points), “proactivist” (51–75 points) and “sustainable” (76–100 points). The results have been analyzed using descriptive statistic tools.

The average sustainability score indicating the level of awareness of sustainable and circular practices among hotel managers in Apulia was 84, whereas the average score associated with their attitude toward food waste management strategies was 65. The greater the number of stars, the higher the sustainability scores. However, the greater the number of rooms, the lower the attitude toward food waste management strategies.

The study sheds light on the main opportunities, barriers and trends in the field of food waste management, highlighting the food commodities which are wasted the most and proposing further strategies to improve circularity and sustainability in hotels. To the best of the authors' knowledge, this study is the first on such topics in Southern Italy and could represent the basis for future research on the topic.

Climate change is a problem that concerns all of us. Despite the information produced by organizations such as the Expert Team on Climate Change Detection and Indices and the United Nations, only a few cities have been planned taking into account the climate changes indices. This paper aims to study climatic variations, how climate conditions might change in the future and how these changes will affect the activities and living conditions in cities, specifically focusing on Mexico city.

In this approach, two distinct machine learning regression models, k-Nearest Neighbors and Support Vector Regression, were used to predict variations in climate change indices within select urban areas of Mexico city. The calculated indices are based on maximum, minimum and average temperature data collected from the National Water Commission in Mexico and the Scientific Research Center of Ensenada. The methodology involves pre-processing temperature data to create a training data set for regression algorithms. It then computes predictions for each temperature parameter and ultimately assesses the performance of these algorithms based on precision metrics scores.

This paper combines a geospatial perspective with computational tools and machine learning algorithms. Among the two regression algorithms used, it was observed that k-Nearest Neighbors produced superior results, achieving an R² score of 0.99, in contrast to Support Vector Regression, which yielded an R² score of 0.74.

The full potential of machine learning algorithms has not been fully harnessed for predicting climate indices. This paper also identifies the strengths and weaknesses of each algorithm and how the generated estimations can then be considered in the decision-making process.

This study aims to carry out a systematic literature review (SLR) on the integration of Lean, Industry 4.0 and the supply chain or the Lean Supply Chain (LSC) 4.0. The research analyses the current research on the LSC 4.0 concept in an increasingly digitalised world. The authors present the benefits, motivations, critical success factors and challenges of integrating the LSC with Industry 4.0 technologies within this emerging area of research.

An SLR is carried out on how Lean can be integrated with Supply Chain 4.0. Using the search strings of “Lean Supply Chain 4.0,” “Lean Supply Chain Management 4.0” and “Lean Supply Chain Digitalisation,” a review of published literature was carried out via searches on academic databases.

Industry 4.0 has a synergistic effect on the LSC and, depending on the technology and sector applied in, can complement and enhance the LSC. Similarly, the LSC is a precursor for digitalisation. There are considerable implications in the LSC 4.0 for green and sustainable processes.

Organisations can use this study to understand what the LSC 4.0 means to industry, the benefits and motivating factors for implementation, the critical success factors (CSFs) to implementation and the challenges for implementation.

This study adds to state of the art around the LSC 4.0 and future directions in this nascent research area. This study will aid organisations in understanding how Lean, supply chain management and Industry 4.0 can be integrated.

The paper offers a comprehensive understanding of how digital transformation affects business models and how firms operate and compete effectively and successfully in a digital economy.

The research adopted an abductive approach (Dubois and Gadde, 2002) through constant movement between theory and empirical evidence. A systematic literature review led the first conceptual development and examples of practices from cultural heritage sectors were used in the theorizing process.

This paper depicts a digital model framework through a set of assumptions about how an organization creates and delivers value in an interconnected way by orchestrating new interactive processes, and providing experience propositions to customers, and about how value is framed in terms of economic, social and cultural outcomes.

The study contributes to the scientific debate by discussing the role of digital business models as enhancements more rather than replacements of traditional business models; it frames a digital business model as consisting of three main pillars: value orchestration, experience propositions and value sharing.

Over the past few decades, lean manufacturing has focussed on being customer-centred and now Lean 4.0 technologies have made it possible for manufacturers to have a deeper view of waste reduction. Technologies such as the internet of things, artificial intelligence, three-dimensional printing, robotics, real-time data, cloud computing, predictive analytics and augmented reality, are helpful to achieve Lean 4.0. This study aims to develop the conceptual understanding of Lean 4.0, related tools and linkage with Industry 4.0. Further, it provides the strategies for implementing Lean 4.0, developing lean culture and highlights the Lean 4.0 application in the manufacturing context.

This study relates to Lean 4.0 and its technologies. Prominent research is identified through Scopus, Web of Science, ScienceDirect and Google Scholar and studied as per the objective of this study. This lean revolution provides customers desire for personalisation, connectedness, high-quality and valuable products. Lean 4.0 provides valuable information on the value chain and production process. This revolution has significantly impacted refining production processes for a greater level of adaptability and cost reduction.

This paper is brief about Lean 4.0 and its capabilities for the reduction of waste. The authors discussed different tools used in Lean 4.0 and its relationship with Industry 4.0. The classical strategies and progressive features of Lean 4.0 for overall enhancing the manufacturing sphere are discussed diagrammatically. Finally, it identified and discussed 14 significant applications of Lean 4.0 for manufacturing industries.

This study provides a comprehensive understanding of Lean 4.0 and related tools and strategies that help the upcoming manufacturing industries.

Focusing on the adoption of Total Quality Management (TQM) principles in universities, this research paper explores how the “soft” dimensions of TQM trigger its “hard” dimensions considering them at the individual (micro-) and the university (meso-), and eventually at cluster (system-), levels.

Adopting a qualitative approach, this study presents an in-depth, longitudinal case study of University of Siena, one of the oldest Italian universities, that has been at the core of the research-based cluster on vaccines, today converged in the Tuscan Life Science Cluster. In particular, data were collected between 2018 and February 2022 and consists of archival data (press articles, websites, books), nine interviews to key informants, multiyear experience of the Life Sciences sector by two of the authors and other material put at disposal by university offices, and emails. Data analysis relied on a timeline, a coding procedure that considered three levels of analysis (individual, organization and cluster). Finally, the authors looked at the “how” and “why” the emerged themes have contributed to academic excellence.

This paper unveils how “soft” and “hard” sides of TQM are blended across multiple levels for reaching academic excellence. The grounded model emerged enlightens the importance of an individual “soft” dimension, academic passion (composed by its three subdimensions of individual research, teaching and entrepreneurial passion) and also sheds light on the organizational “soft” and “hard” sides that the university has been able to design for encouraging research, teaching and third mission quality. Academic excellence has been possible thanks to the capitalization of the individual and organizational “soft” sides into real outcomes as represented by the organizational and individual “hard” sides.

The paper suggests the importance of TQM principles applied at universities' level, providing an in-depth description of “soft” and “hard” sides dimensions of TQM and their impact on all the three pillars of academic excellence. The study findings suggest implications for managers and professionals in the higher education domain as well as for policymakers emphasizing the importance of supporting the individual and organizational soft sides of TQM. The authors provide practical implications recommending universities to consider not only the organizational dimensions but also individual ones when pursuing higher education excellence. In particular, individual passion plays a crucial role and universities need to identify ways of nurturing it. The authors also recommend policymakers to think about new ways to sustain universities as crucial actors in boosting a cluster development, as well as to consider higher education institutions, especially in more rural areas, as a privileged player not only capable of nurturing academic excellence but also able of creating an internationally renowned cluster.

TQM principles have been intensively analysed from an industrial perspective focusing on manufacturing and services, while this paper focuses on TQM in universities, presenting a grounded model that blends the individual and organizational “soft” and “hard” sides.