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This study aims to explore the impact of controversial firms’ corporate sustainability assessments on their risk exposure according to the environmental, social and governance (ESG) paradigm.

This study conducts a cross-sectional study using the ordinary least squares approach to test how corporate social responsibility practices affect firms’ risk exposure, testing the three single impacts of ESG components and the impact of an overall ESG assessment. This study considers the largest Standard & Poor’s (S&P) 500 stock market index companies and focus on a double-risk measurement – systematic and idiosyncratic – developing an empirical study on 132 controversial companies listed on the S&P index.

Empirical findings indicate that the overall ESG assessment and the environmental and social sub-dimensions decrease idiosyncratic firm risk. At the same time, no significant results are found according to the systematic risk component.

This study fits into the domain of risk management research, investigating whether additional and non-financial disclosures regarding sustainability issues decrease information asymmetries, improving investors’ decision-making and stakeholders’ relations. Prior literature has shown limited evidence on the relationship between corporate social performance (CSP) and firm risk based on controversial companies. The main contribution is to consider the controversy as an independent factor from the industry sector, given that the implications of CSP actions and practices are mainly firm-specific.

The paper aims at investigating antecedents and predictors of consumers' buying and consumption processes within the Italian Solidarity Purchasing Groups (SPGs) to enrich current debate about drivers and levers on which act for fostering ethical consumption in food sector.

Building upon the theory of planned behavior (TPB) a theoretical model is proposed for depicting possible antecedents and predictors of consumers' buying and consumption processes in food sector. The validity of the model has been tested via partial least squares structural equation modeling (PLS-SEM) using SmartPLS for analyzing primary data collected through a structured questionnaire from 354 consumers engaged in SPGs.

Within the domain of food buying and consumptions through SPGS, results show that consumers' behavior intention (BI) is influenced by consumers' attitude (ATT) and perceived behavioral control (PBC). Moreover, the research also demonstrates that consumers' ATT is influenced by consumers' ethical self-identity (ETH), consumers' willingness to support local economy (SLE), and food safety concern (FSC).

The study contributes to the ongoing debate on sustainable consumerism focusing the attention on SPGs as emerging social organizations inspired by ethical food consumption. Both theoretical development and empirical evidences enrich current knowledge about drivers and levers on which act for fostering ethical consumption in food sector.

The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology.

This study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: “reduced cost” and “efficiency and security”. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation.

The results show that “efficiency and security” is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes.

This research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security.

The study explores the drivers of the intention to continue using sustainable food delivery services, considering the influence of value, satisfaction and the combined effects of utilitarian and hedonic motives. We employ a comprehensive framework that integrates the norm activation model (NAM) and the theory of planned behavior (TPB), with satisfaction, utilitarian motives and hedonic motives. This approach facilitates a deeper understanding of the factors motivating users to remain loyal to the service.

The study examines the data using a quantitative approach based on the partial least squares approach to structural equation modeling (PLS-SEM).

The findings suggest that the intention to continue using sustainable food delivery services, such as the Giusta app, is significantly influenced by user satisfaction and attitudes. Attitudes not only influence the intention but also user satisfaction and are shaped by utilitarian motivations associated with sustainable food delivery. Beyond personal expectations and perceived benefits, the study reveals that behavior is also driven by altruistic values and moral convictions. Specifically, attitudes and satisfaction are positively affected by personal norms, which are influenced by ascribed responsibility. This ascribed responsibility is, in turn, shaped by awareness of both environmental and social issues.

This research contributes to the current debate on consumers' ethical behavior in food delivery. Only a few studies have integrated the NAM and TPB models in this context. This article highlights the factors useful in predicting people’s choice of food delivery services, showing the key role of personal norms, attitude, satisfaction and utilitarian motives.

This research leverages an integrated framework that uses the technology acceptance model (TAM) and the theory of planned behaviour (TPB) to analyse the main drivers of users' intention to use food delivery apps. The purpose of this paper is to investigate the consumer's willingness to adopt online food delivery (OFD) using the models' constructs and extend them to consider food choices, convenience, trust and the effect of the perceived risks related to the coronavirus disease 2019 (COVID-19) pandemic as contextual factors.

The study adopts the partial least squares approach to structural equation modelling (PLS-SEM) to examine the data. The final sample consists of 425 people in Italy.

The authors have found that combining the TAM and the TPB provides a valid and significant model that can be used to understand OFD users' behavioural intentions. Moreover, the results show that subjective norms have a stronger effect on behavioural intentions than the personal attitude and that trustworthiness and the perception of risks related to COVID-19 have different effects. Accordingly, the authors derive several theoretical and managerial implications from these results.

This research contributes to the current debate on consumer behaviour in the OFD context. Only a few studies have integrated the TAM and TPB models in this context. This paper sheds light on the factors useful in predicting people's choice to buy food via OFD. Furthermore, it highlights the key role of some contextual factors and subjective norms over more technical ones.

This research focuses on the relationship between Top Management Team heterogeneity (TMT) and University Spin-Offs (USOs) economic performance according to a micro-foundational perspective. The purpose consists in exploring whether a high academic representation in TMTs may improve USOs’ performance and how their competencies and backgrounds affect USOs’ economic success.

The authors employed data from the Italian platform Netval to identify the entire population of USOs in southern Italy. They selected both pure and hybrid spin-offs that had at least one academic member on the TMT. Applying these conditions to our sample selection, the authors came to a population of 136 firms. They applied a hierarchical regression analysis to test the hypotheses.

Our main findings reveal that the USOs’ economic performance improves with more academicians in the TMT and even in the same scientific field. Our data also shows that CEO duality has a negative impact on economic performance.

This work takes for the first time a micro-foundational perspective to analyze individual-level factors that affect USOs’ performance. The authors tried to bridge a research gap in the USO literature, shedding light on the relationship between TMT composition and new venture performance, considering some significant interactions between team members. Our expected findings also contribute to the general literature on entrepreneurial teams in new ventures and suggest a means to reconcile some inconsistent literature results on TMT heterogeneity and USO performance.

This chapter aims to list the literature that document the role of hospitality industry achieving Sustainable Development Goals (SDGs), and to summarize those contributions, related to the literature. Extensive literature review was also conducted to explore a critical analysis of sustainable digitalization of the hospitality industry.

The article has undertaken a systematic literature review of all the significant research area of almost last two decades. Keyword searches were performed in Google Scholar search engine, where timeframe of “2001–2023” was used to filter the desired article. Total 141 research articles were primarily identified after the initial search. After screening the articles for relevance or duplicates, finally 107 articles were considered for this study.

This study figures out those environment-related SDGs which is considered essential for the hospitality industry. This study found the importance of adopting digitalization in hospitality sector to build inclusive environment and providing seamless experience to customers while focusing on both positive and negative aspects associated with digital transformation.

Hospitality industry of numerous countries around the world are now exploring by implementing SDGs and Digitalization in their business practices. This study will provide insight to policymakers as development and usage of digital technologies and implementing SDGs in their practices are crucial for the sustainable transformation of hospitality industry. Sustainable transformation of hospitality sector not only improves services and helps us to make wiser choices when planning for a trip but also positively impact both physical and psychological well-being.

This study investigates the role of “soft” factors of total quality management – in terms of empowerment and engagement of employees – in facilitating or hindering organizational performance of the university technology transfer offices.

The authors developed an Ordinary Least Squares (OLS), multiple regression model to test if empowerment and engagement affect organizational performance of the university technology transfer offices.

The authors found that “soft” factors of total quality management – in terms of empowerment and engagement – facilitate the improvement of organizational performance in university technology transfer offices.

The authors’ analysis shows that soft total quality management practices create the conditions for improving organizational performance. This study provides practical implications by showing that, in the evaluation of the technology transfer office, not only the “hard” variables (e.g. number of employees and employee experience) but also the “soft” one (e.g. empowerment and engagement) matter. Therefore, university technology transfer managers or university technology transfer delegates should take actions to promote not only empowering employees but also create a climate conducive to employees' engagement in the university technology transfer offices.

With regards to the differences in organizational performances of university technology transfer offices, several studies have focused their attention on technology transfer professionals in technology transfer offices, but only a few of them have examined the “soft side” of total quality management. Thus, this study examines the organizational goals of technology transfer offices through “soft” factors of total quality management in terms of empowerment and engagement employees.

This paper explores the intricate evolution of human–machine interaction within the framework of Society 5.0, highlighting how technological advancements influence human behavior and societal progress.

A multidimensional framework is developed through a qualitative approach to analyze the evolution of human–technology interaction. This innovative conceptual model provides a comprehensive understanding of these dynamics.

The proposed model unveils a significant shift from perceiving technology as a mere tool to acknowledging its profound influence on daily routines and potential enhancements. This revelation underscores the critical role of human-centric strategies, enlightening us about the evolving nature of technology.

The study synthesizes existing research to present a comprehensive framework for understanding human–machine interaction, providing insights that can inform future research and theory development.

This study equips policymakers, researchers and practitioners with actionable strategies to enhance technology use. By incorporating human-centric approaches, addressing issues such as technostress and promoting effective digital knowledge management, this research empowers the audience with practical solutions.

The paper underscores the broader impact of technology on societal progress. It emphasizes the importance of incorporating human-centric strategies in technology implementation to promote fairness, inclusivity and overall societal well-being.

This paper introduces an innovative conceptual model based on a multidimensional framework to analyze the complex evolution of human–technology interaction. It enriches the ongoing debate by highlighting the nuanced relationship between humans and technology, addressing significant gaps in existing literature and offering an original interpretative perspective.