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Digital transformation (DT) is a priority for the healthcare sector. In many countries, it is still considered in the early stages with an underestimation of its benefits and potentiality. Especially in Italy, little is known about the impact of digitalization – particularly of the Internet of Things (IoT) – on the healthcare sector, for example, in terms of clinician's jobs and patient's experience. Drawing from such premises, the paper aims to focus on an overlooked healthcare area related to the chronic heart diseases field and its relationship with DT. The authors aim at exploring and framing the main variables of remote Monitoring (RM) adoption as a specific archetype of healthcare digitalization, both on patients and medical staff level, by shedding some lights on its overall implementation.

The authors empirically inquiry the RM adoption within the context of the Cardiology Department of the Casilino General Hospital of Rome. To answer our research question, the authors reconstruct the salient information by using induction-type reasoning, direct observation and interviewees with 12 key informants, as well as secondary sources analysis related to the hospital (internal documentation, presentations and technical reports).

According to a socio-technical framework, the authors build a model composed of five main variables related to medical staff and patients. The authors classify such variables into an input-process-output (I-P-O) model. RM adoption driver represents the input; cultural digital divide, structure flexibility and reaction to change serve the process and finally, RM outcome stands for the output. All these factors, interacting together, contribute to understanding the RM adoption process for chronic disease management.

The authors' research presents two main limitations. The first one is related to using a qualitative method, which is less reliable in terms of replication and the interpretive role of researchers. The second limitation, connected to the first one, is related to the study's scale level, which focuses on a mono-centric consistent level of analysis.

The paper offers a clear understanding of the RM attributes and a comprehensive view for improving the overall quality management of chronic diseases by suggesting that clinicians carefully evaluate both hard and soft variables when undertaking RM adoption decisions.

RM technologies could impact on society both in ordinary situations, by preventing patient mobility issues and transport costs, and in extraordinary times (such as a pandemic), where telemedicine contributes to supporting hospitals in swapping in-person visits with remote controls, in order to minimize the risk of coronavirus disease (COVID-19) contagion or the spread of the virus.

The study enriches the knowledge and understanding of RM adoption within the healthcare sector. From a theoretical perspective, the authors contribute to the healthcare DT adoption debate by focusing on the main variables contributing to the DT process by considering both medical staff and patient's role. From a managerial perspective, the authors highlight the main issues for RM of chronic disease management to enable the transition toward its adoption. Such issues range from the need for awareness of the medical staff about RM advantages to the need for adapting the organizational structure and the training and education process of the patients.

The purpose of this paper is to explore the hypothesis that collaboration was a key characteristic of Cuban science to maintain their scientific capacity during a period of economic restrictions and an important feature of Cuban science policy and practice for the benefit of society.

Collaboration was studied through Cuban scientific publications listed in PubMed for the period 1990-2010. The search was carried out using the advanced search engine of PubMed indicating < Cuba > in the affiliation field. To identify participating institutions a second search was performed to find the affiliations of all authors per article through the link to the electronic journal. A data set was created to identify institutional publication patterns for the surveyed period. Institutions were classified in three categories according to their scientific production as Central, Middle or Distal: the pattern of collaboration between these categories was analysed.

Results indicate that collaboration between scientifically advanced institutions (Central) and a wide range of national institutions is a consequence of the social character of science in Cuba in which cooperation prevails. Although this finding comes from a limited field of biomedical science it is likely to reflect Cuban science policy in general.

Using bibliometric tools the study suggests that Cuban science policy and practice ensure the application of science for social needs by harnessing human resources through national and international collaboration, building in this way stronger scientific capacity.

The purpose of this paper is to explore the way gender and gender roles are socially constructed by those who have experience of females committing sexual offences against children.

Using a discursive approach, supported by membership category analysis, a secondary analysis of qualitative data illustrates how the social construction of gender and gender roles impacts on society’s perception of females who commit sexual offences against children.

Discourse analysis found three patterns employed within conversation that demonstrate how the construction of women influence society’s incomprehension of females who commit sexual offences against children: women can be trusted, women do not manipulate and groom and, women are not sexually aggressive.

A limitation of this study is the use of secondary data, which cannot provide the richness or detail found in primary accounts from people with this lived experience. The difficulty in accessing this sub-population highlights the hidden nature of the topic and the need for further research in this area.

This is the first study to explore how gender discourse is used in discussions of females who commit sexual offences against children. The value of this exploration highlights the need of society to adjust their perceptions of the offending capabilities of women and to ensure the experiences of people who experience this form of sexual abuse receive support.

The aim of this study is to analyze the antecedents of word-of-mouth (WOM) in a social networking sites (SNS) context, based on social identification theory and uses and gratification theory. This general objective can be divided into two sub-objectives. First, to measure the relationship between social identity, altruism and perceived encouragement as antecedents of WOM in SNS. Second, to study the existence of SNS-user segments which have differentiated behaviors according to the proposed model.

Partial least squares (PLS) has been used to analyze both validity and reliability of the measurement scales and the estimation of the structural model. Next, the heterogeneity of SNS-users has been analyzed using the finite mixture segmentation FIMIX-PLS. Furthermore, a multi-group analysis (MGA-PLS) has been used to analyze the differences between the behaviors of the resulting segments.

The main conclusion of this study is that social identity and perceived encouragement are worthy predictors of WOM. Additionally, there is a strong relationship between social identity and perceived encouragement. Another significant consequence is the existence of a large quantity of unobserved heterogeneity. Unsociable users, habitual users and obligated users show different behaviors regarding the relationships between the variables of the proposed model.

The results indicate that in general WOM communications transmitted by SNS-users are not motivated by altruism or by their willingness to help others. In addition, social identity and perceived encouragement are good predictors of WOM. Another originality of this research is that considering only one general model hides a large amount of unobserved heterogeneity: different segments of users showed diverse behaviors regarding the model’s variables.

The rapid growth of the Internet has provided tremendous opportunities for service companies to offer quality services. The prime drivers and motivations for offering such services through the Net are to reduce transaction costs and to provide efficient and effective service to customers. But what are the determinants essential for building a successful electronic service (e‐service) operation? This paper addresses this specific issue by isolating the essential determinants from the available literature, and assessing them individually to obtain better insights and understanding. This could help companies to design and develop robust foundations on which to build successful e‐service operations. The boundaries between e‐service, e‐business and e‐commerce are blurred and sometimes confusing. This paper aims to clarify some of these ambiguities.

This study examined the students' academic performance through psychological capital, academic engagement and academic persistence. It also investigated the function of psychological capital in mediating the relationship between academic engagement, persistence and performance.

The study utilized a quantitative method and structural equation modeling using PLS-SEM version 3. A total of 900 questionnaires were issued to Chinese university students, and 814 data were analyzed.

Findings suggest that academic engagement and persistence significantly and positively impact psychological capital. Psychological capital is also mediated between academic engagement, persistence and performance. Additionally, the study made several recommendations for upcoming researchers and industry professionals.

Analyzing the pupils' academic achievement after COVID-19 reopening as it indicates their attention and engagement in the study. Although previous studies explored students' academic performance regarding the post-COVID effect, the role of psychological capital and engagement in academia in the study has been studied in a post-COVID context.

Governments and organizations worldwide are concerned over the declining number of young people choosing to study Science, Technology, Engineering and Mathematics (STEM), especially after the age of 16. Research has foregrounded that students with positive attitudes toward science are more likely to find it relevant and aspire to a science career. This study aims to understand the factors shaping students’ attitudes as these are pivotal in promoting science learning.

This study uses the framework of science capital to understand what shapes young people’s engagement with or resistance to science. The authors conducted four Computational Thinking making-based workshops with 106 children aged 15–16 years, of which 58 filled in a questionnaire and 22 were interviewed. Statistical and content analyses were performed respectively.

The results indicate that children who are more exposed to science-related activities and contexts are more likely to have higher self-efficacy, and that those with higher prior coding experience scored higher in their self-efficacy and science capital. Six themes emerged from the content analysis, highlighting the diverse factors shaping students’ attitudes, such as teaching methods, stereotypes and the degree of difficulty encountered while engaging with science in and out of school.

By combining qualitative and quantitative methods with the use of science capital, the authors found a number of aspects of the school experience that shape students’ attitudes to science learning in and out of school, as well as their science career aspirations.

Mobile Facebook (m-Facebook) creates many business opportunities for brands and firms while increasingly drawing interest in scientific literature. However, research is scarce on the immersive experiences prompted by m-Facebook, and how these experiences facilitate users’ engagement, their positive attitude towards Facebook and their continued use of it. The paper aims to discuss these issues.

This paper theoretically and empirically analyses m-Facebook users’ immersive experiences, along with their affective and behavioural effects.

The results reveal the important role of imagery, presence and flow in the context of m-Facebook; the interplay between these three immersive phenomena; and the influence the user’s optimum stimulation level has on them.

The investigation offers a foundation for understanding users’ immersive experiences on m-Facebook, and informs practitioners who aim to enhance users’ engagement with, attitude towards, and continued use of m-Facebook content.

This study aims to examine the extent to which anti‐smoking websites use intervention strategies that have been informed by four prominent theories of health‐related behavior change: the health belief model, the theory of reasoned action/theory of planned behavior, the transtheoretical model, and social cognitive theory.

Content analysis was applied to 67 unique and independent anti‐smoking websites to determine their use of 20 intervention strategies based on the four theories.

The findings reveal that anti‐smoking websites used the health belief model the most and social cognitive theory the least. In addition, websites devoted to smoking cessation used these theories more extensively than websites devoted to smoking prevention.

The sample size is somewhat small, which may result in lack of sufficient statistical power. Also, the analysis may have overlooked some important intervention strategies that are particularly effective for smoking intervention programs.

Anti‐smoking website designers should take more advantage of the internet as a health promotion medium and use more intervention strategies that have been informed by scientifically tested theories of behavior change, particularly with respect to affective and behavioral strategies.

This study contributes to current knowledge about which kinds of anti‐smoking messages are available online and how extensively they employ theory‐based intervention strategies.

This paper aims to present the results of a study into the relationship between horizontal and vertical communication and professional and organisational identification.

An empirical study was carried out at a large hospital in The Netherlands with multiple locations. Hospital employees (n = 347) completed a written questionnaire.

The results show that although employees identify more strongly with their profession than with their organisation, there is a positive connection between professional and organisational identification. Dimensions of vertical communication are important predictors of organisational identification, whereas dimensions of horizontal communication are important predictors of professional identification.

Identification with the overall organisation does not depend primarily on the quality of contact with immediate colleagues within a work group or department; rather, it depends more on appreciation of the communication from and with the organisation's top management.

Management should find a balance between communication about organisational goals and individual needs, which is crucial in influencing professional and organisational identification.

Previous research has shown a positive link between the communication climate at a specific organisational level and the employee's identification with that level. The current study adds to this concept the influence of horizontal and vertical dimensions of communication on identification among different types of employees.