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This study aims to develop a model based on the financial variables for better accuracy of financial distress prediction on the sample of private French, Spanish and Italian firms. Thus, firms in financial difficulties could timely request for troubled debt restructuring (TDR) to continue business.

This study used a sample of 312 distressed and 312 non-distressed firms. It includes 60 French, 21 Spanish and 231 Italian firms in both distressed and non-distressed groups. The data are extracted from the ORBIS database. First, the authors develop a new model by replacing a ratio in the original Z”-Score model specifically for financial distress prediction and estimate its coefficients based on linear discriminant analysis (LDA). Second, using the modified Z”-Score model, the authors develop a firm TDR probability index for distressed and non-distressed firms based on the logistic regression model.

The new model (modified Z”-Score), specifically for financial distress prediction, represents higher prediction accuracy. Moreover, the firm TDR probability index accurately depicts the probabilities trend for both groups of distressed and non-distressed firms.

The findings of this study are conclusive. However, the sample size is small. Therefore, further studies could extend the application of the prediction model developed in this study to all the EU countries.

This study has important practical implications. This study responds to the EU directive call by developing the financial distress prediction model to allow debtors to do timely debt restructuring and thus continue their businesses. Therefore, this study could be useful for practitioners and firm stakeholders, such as banks and other creditors, and investors.

This study significantly contributes to the literature in several ways. First, this study develops a model for predicting financial distress based on the argument that corporate bankruptcy and financial distress are distinct events. However, the original Z”-Score model is intended for failure prediction. Moreover, the recent literature suggests modifying and extending the prediction models. Second, the new model is tested using a sample of firms from three countries that share similarities in their TDR laws.

This paper aims to analyze the role of intellectual capital in the underexplored relationship between sustainable performance and credit access among private firms in Italy, where over 90% of businesses are small and medium enterprises. While D’Apolito et al. (2024) have investigated sustainability-linked bank financing among Italian listed small and medium-sized enterprises, this study takes a different approach by focusing on private firms and examining the influence of environmental, social and governance criteria on their credit access. The research seeks to deepen the understanding of how sustainable practices impact financial outcomes and access to funding for private enterprises.

To investigate the relationship between sustainable performance and credit access as well as the moderating role of intellectual capital, this study employs an ordinary least squares regression model. It utilizes an innovative measure of sustainable performance for private firms – the legality rating issued by the Italian Competition Authority in 2022 – drawing on prior research to establish a robust analytical framework.

The findings highlight the importance of incorporating environmental, social and governance criteria into the credit evaluation process for private firms. They underscore the critical role of intellectual capital – comprising human capital, structural capital and relational capital – as a moderating factor in the relationship between sustainable performance and credit access.

To the best of our knowledge, this study is the first to examine the moderating role of intellectual capital in the relationship between sustainable performance and credit access among Italian private firms. While substantial research exists on environmental, social and governance performance in large listed firms, there remains a notable gap concerning the sustainability criteria of private and unlisted entities. This study addresses this gap by providing insights into the unique dynamics of sustainable performance and financial access in the context of private enterprises.

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.

This paper presents a critical examination of the contemporary state of the accounting discipline and poses the question of its future trajectory. The aim of the study is to show that the path to be followed is the one traced by the masters of the discipline, which lies in the wake of the rediscovery of social and moral values and shared value.

Study of the conceptual nature of research topic, that is, the discipline of accounting, in an intertemporal exploration through some selected theoretical constructs.

There is no need for a new accounting science with new paradigms, but only for a recovery of the social and moral values of accounting that have lain dormant during the dusty centuries of human history.

The study does not provide an extensive analysis of the evolution of accounting history.

The recovery of the social and ethical dimension will not only make accounting more attractive to young students but will also have a medium-term impact on the profession, freeing it from the stereotypes of an unexciting and aseptic discipline. This broadening of scope and momentum inspires the engagement of academics, practitioners, experts and policymakers in confronting and proactively addressing the complex challenges that the world faces today, toward the United Nations 2030 Agenda and beyond.

This historical paper’s originality lies in its intertemporal perspective.

This article sets out to show how principles and questions about method that underlie a way of interpreting the discipline of conservation and restoration can find results in research and studies, aiming at achieving even conscious reuse process. The occasion is the very recent research performed on the former Church of Saints Gerolamo and Francesco Saverio in Genoa, Italy, the Jesuit church annexed to the 17th-century College of the order. It is a small Baroque jewel in the heart of the ancient city, former University Library and actually abandoned, forgotten for years, inaccessible and awaiting a new use.

The two-year work carried out on the monumental building was conducted according to a study and research methodology developed and refined over the years within the activities of the School of Specialisation in Architectural Heritage and Landscape of the University of Genoa. It is a multidisciplinary and rigorous approach, which aims to train high-level professionals, up-to-date and aware of the multiple problems that interventions on existing buildings, especially of a monumental nature, involve.

The biennal study has been carried out within the activities of the Post-Graduate Programme in Architectural Heritage and Landscape of the University of Genoa. The work methodology faces the challenges of the contemporary complexity, raised by the progressive broadening of the concept of cultural “heritage” and by the problems of its conservation, its active safeguard and its reuse: safety in respect of seismic risk, fire and hydro geological instability, universal accessibility – cognitive, physical and alternative – resource efficiency, comfort and savings in energy consumption, sustainability, communication and involvement of local communities and stakeholders.

The goals of the work were the following: understanding of the architectural heritage, through the correlated study of its geometries, elements and construction materials, surfaces, structures, spaces and functions; understanding of the transformations that the building has undergone over time, relating the results of historical reconstructions from indirect sources and those of direct archaeological analysis; assessment of the state of conservation of the building recognising phenomena of deterioration, damage, faults and deficits that affect materials, construction elements, systems and structures; identification of the causes and extent of damage, faults and deficits, assessing the vulnerability and level of exposure of the asset to the aggression of environmental factors and related risks; evaluation of the compatibility between the characteristics of the available spaces, the primary needs of conservation, the instance of regeneration and possible new uses; the definition of criteria and guidelines for establishing the planning of conservation, restoration and redevelopment interventions.

Advances in information technology and the increasing digitalization of the general public have favored the growth of the sharing economy. The sharing economy is based on transactions of idle resources between individuals to satisfy cogent needs. Notwithstanding the great interest in this emerging phenomenon, it is still not clear which factors are driving the shift in consumer consumption behavior from the traditional economy toward this new economic model. Grounded in self-determination theory, we contend that what is needed is a holistic approach that considers the three elements involved in sharing economy transactions, namely (1) consumer motivations, (2) web-based platforms and (3) types of assets exchanged.

To conduct our study, we used the Flash Eurobarometer 467 database titled “The Use of the Collaborative Economy,” collected by the European Union with Flash Eurobarometer datasets and openly available to the public. Consequently, our study aims to provide results based on a large-scale quantitative analysis involving a large number of individuals and multiple sectors.

Our findings provide empirical evidence of the positive effects of the shift in consumption behavior toward the sharing economy brought about by (1) consumers’ intrinsic motivations, (2) the quality of the platform and (3) the human asset-based categories of products offered.

This research seeks to advance understanding of the factors that facilitate the adoption of the sharing economy, and we provide managers and policymakers with suggestions regarding the factors they may leverage to further favor the spread of this economic model.

This paper aims to develop a methodology for the spatiotemporal analysis of urban household waste data and a geographic information system (GIS)-based dashboard for interactive outcomes that identifies emerging trends and spatial distribution.

The study visualized the emerging hotspot analysis of household waste data covering the waste in selected areas from 2014 to 2019 in New South Wales, Australia. Through analyses in ArcGIS Pro, multiple maps and diagrams can be created to display these results in ArcGIS Insights. To enable the spatial waste analysis outcomes accessible, a GIS-based dashboard including maps and charts, spatiotemporal visualization of household waste tonnage, and emerging hotspots was created.

Based on the development of the dashboard in the ArcGIS Suites, there is an accessible data pipeline from ArcGIS Pro to Insights. The cloud-mapping system in ArcGIS online serves as a foundation for temporary data storage. The results also show the emerging hotspots of recyclable, residual and organic (RRO) waste in the Greater Sydney Region, Wollongong, Newcastle and Tweed. This study found an emerging cold spot in Wagga Wagga.

A dashboard for monitoring waste streams can be developed to enable GIS specialists to use historical spatiotemporal datasets in ArcGIS suites easily. Policymakers, strategy developers, urban waste managers and organizations dealing with urban waste can utilize this analytical dashboard to identify the issues, patterns and trends concerning urban waste for better decision-making in allocating required resources to overcome the identified issues to make informed decisions and develop strategies to alleviate the trends and patterns of ongoing problems. Indeed, the GIS-based dashboard developed in this research provides deep analysis and insights from the spatial waste data, allowing them to understand the included insights at a glance quickly.

Deriving location information for urban household waste data is crucial for waste management since it offers a better understanding of urban household waste data patterns, issues and historical trends. Small-scale studies have examined spatial waste patterns, but the investigation of urban household waste focusing on RRO waste is limited. Moreover, there is a lack of GIS-based dashboard development to enable spatiotemporal waste analysis outcomes to be publicly accessible.

The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.