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The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.

The authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.

The analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.

The high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.

In this chapter, we apply APPNIE to two case studies, BIOerg srl and LiMiX srl, which are innovative start-ups born in the Marche Region in Italy. The choice to analyse two companies in the same region is based on the fact that the surrounding ecosystem of innovation and entrepreneurship has a strong impact on the birth and subsequent development of innovative start-ups. Using these two case studies, this chapter shows the differences between SWOT and APPNIE analyses.

Communication and job satisfaction are two key factors for the success of public organisations. The study aims, firstly, to examine the effects of training activities and internal meetings on the perceived quality of communication processes; secondly, to explore the nuanced relationship between communication and job satisfaction.

This is a cross-sectional study based on results from organisational climate surveys conducted between 2019 and 2020 in six Italian Regional Healthcare Systems, involving a total of 58,888 employees. Linear regression models were performed.

Results highlight that employee satisfaction is positively influenced by high-quality internal communication. The organisation of frequent internal meetings and the offer of ad hoc training sessions on communication were found to be antecedents of good communication.

The study offers practical implications for healthcare organisations, highlighting specific strategies that can be employed to enhance internal communication and, subsequently, job satisfaction. The emphasis on training programmes and internal meetings provides actionable insights for organisational improvement.

The originality and value of this study lie in its unique large datasets, which significantly strengthen the reliability of the findings and make them more applicable to a wider range of contexts. Also, the exploration of the relationship between internal communication processes and job satisfaction within public healthcare organisations contributes to the growing body of knowledge in organisational studies.