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The purpose of this paper is to identify the factors influencing the growth of healthcare virtual communities of practice (VCoPs) through a seven-year longitudinal study conducted using metrics from social-network and semantic analysis. By studying online communication along the three dimensions of social interactions (connectivity, interactivity and language use), the authors aim to provide VCoP managers with valuable insights to improve the success of their communities.

Communications over a period of seven years (April 2008 to April 2015) and between 14,000 members of 16 different healthcare VCoPs coexisting on the same web platform were analysed. Multilevel regression models were used to reveal the main determinants of community growth over time. Independent variables were derived from social network and semantic analysis measures.

Results show that structural and content-based variables predict the growth of the community. Progressively, more people will join a community if its structure is more centralised, leaders are more dynamic (they rotate more) and the language used in the posts is less complex.

The available data set included one Web platform and a limited number of control variables. To consolidate the findings of the present study, the experiment should be replicated on other healthcare VCoPs.

The study provides useful recommendations for setting up and nurturing the growth of professional communities, considering, at the same time, the interaction patterns among the community members, the dynamic evolution of these interactions and the use of language. New analytical tools are presented, together with the use of innovative interaction metrics, that can significantly influence community growth, such as rotating leadership.

This study aims to investigate the dynamics of knowledge sharing in health care, exploring some of the factors that are more likely to influence the evolution of idea sharing and advice seeking in health care.

The authors engaged 50 pediatricians representing many subspecialties at a mid-size US children’s hospital using a social network survey to map and measure advice seeking and idea sharing networks. Through the application of Stochastic Actor-Oriented Models, the authors compared the structure of the two networks prior to a leadership program and eight weeks post conclusion.

The models indicate that health-care professionals carefully and intentionally choose with whom they share ideas and from whom to seek advice. The process is fluid, non-hierarchical and open to changing partners. Significant transitivity effects indicate that the processes of knowledge sharing can be supported by mediation and brokerage.

Hospital administrators can use this method to assess knowledge-sharing dynamics, design and evaluate professional development initiatives and promote new organizational structures that break down communication silos. This work contributes to the literature on knowledge sharing in health care by adopting a social network approach, going beyond the dyadic level and assessing the indirect influence of peers’ relationships on individual networks.

The purpose of this paper is to explore possible factors impacting team performance in healthcare, by focusing on information exchange within and across hospital’s boundaries.

Through a web-survey and group interviews, the authors collected data on the communication networks of 31 members of four interdisciplinary healthcare teams involved in a system redesign initiative within a large US children’s hospital. The authors mapped their internal and external social networks based on management advice, technical support and knowledge dissemination within and across departments, studying interaction patterns that involved more than 700 actors. The authors then compared team performance and social network metrics such as degree, closeness and betweenness centrality, and computed cross ties and constraint levels for each team.

The results indicate that highly effective teams were more inwardly focused and less connected to outside members. Moreover, highly recognized teams communicated frequently but, overall, less intensely than the others.

Mapping knowledge flows and balancing internal focus and outward connectivity of interdisciplinary teams may help healthcare decision makers in their attempt to achieve high value for patients, families and employees.

The purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub. Wearable sensors and other smart tools were used for collecting human and environmental features during working activities. These factors were correlated with workers' performance and well-being.

Human and environmental factors play an important role in operations management activities since they significantly influence employees' performance, well-being and safety. Surprisingly, empirical studies about the impact of such aspects on logistics operations are still very limited. Trying to fill this gap, the research empirically explores human and environmental factors affecting the performance of logistics workers exploiting smart tools.

Results suggest that human attitudes, interactions, emotions and environmental conditions remarkably influence workers' performance and well-being, however, showing different relationships depending on individual characteristics of each worker.

The authors' research opens up new avenues for profiling employees and adopting an individualized human resource management, providing managers with an operational system capable to potentially check and improve workers' well-being and performance.

The originality of the study comes from the in-depth exploration of human and environmental factors using body-worn sensors during work activities, by recording individual, collaborative and environmental data in real-time. To the best of the authors' knowledge, the current paper is the first time that such a detailed analysis has been carried out in real-world logistics operations.

The purpose of this paper is to examine the innovative capabilities of biotech start-ups in relation to geographic proximity and knowledge sharing interaction in the R & D network of a major high-tech cluster.

This study compares longitudinal informal communication networks of researchers at biotech start-ups with company patent applications in subsequent years. For a year, senior R & D staff members from over 70 biotech firms located in the Boston biotech cluster were polled and communication information about interaction with peers, universities and big pharmaceutical companies was collected, as well as their geolocation tags.

Location influences the amount of communication between firms, but not their innovation success. Rather, what matters is communication intensity and recollection by others. In particular, there is evidence that rotating leadership – changing between a more active and passive communication style – is a predictor of innovative performance.

Expensive real-estate investments can be replaced by maintaining social ties. A more dynamic communication style and more diverse social ties are beneficial to innovation.

Compared to earlier work that has shown a connection between location, network and firm performance, this paper offers a more differentiated view; including a novel measure of communication style, using a unique data set and providing new insights for firms who want to shape their communication patterns to improve innovation, independently of their location.

In this article, the authors analyse the impact of the 2020 lockdown and the subsequent measures to contain the spread of COVID-19 in Italy in the hospitality industry by looking at the social demands brought forward by the restaurant sector.

To analyse social demands, the authors choose Twitter as an observation point using two hashtags as keywords to scratch the data: #iononriapro and #ioapro, which correspond to two different instances conveyed by the same subject: the restaurant sector. The instances linked to the hashtags produced different levels of engagement and penetration within the social structure and digital platform. To analyse the first block of data linked to the first hashtag-flag #iononriapro, the authors used content analysis. To analyse the second and third block of data linked to the hashtag-flag #ioapro, the authors used an automatic procedure, emotional text mining.

The analysis procedures allow us to reconstruct the positioning of the topics of closures and reopenings due to lockdown in this sector and to identify two explanatory dimensions: structural and affective, which explain the tension that has emerged between the State and the restaurant sector around COVID-related closures.

The study's findings not only contribute to the current understandings of the birth, transformation and penetration of social issues by the restaurant sector over the specific period linked to the COVID-19 pandemic and the measures imposed for its containment but are also valuable to analyse the dynamics through which Twitter hashtags and the social issues they represent find strength or lose interest in the public.

Entrepreneurial communication describes the communication activities of entrepreneurs and is an essential tool for entrepreneurs to build relationships. However, there is a lack of research regarding how entrepreneurs adapt their communication styles in times of crisis. Nevertheless, entrepreneurial communication during a crisis is essential because entrepreneurs must continue communicating with their stakeholders and be visible. In this regard, communication has the central aim of preventing the startup from suffering any damage that may result from the crisis. Thus, the present paper explores potential shifts in the communication styles of entrepreneurs during the first wave of the COVID-19 pandemic.

The authors examined the digital footprints of 780 entrepreneurs based in the USA on the social network Twitter. This study used a longitudinal dataset with the software Linguistic Inquiry and Word Count (LIWC) to analyze 110,283 tweets sent pre-crisis and during the first wave of COVID-19.

The results of the exploratory analysis revealed a connection between crisis and both analytical thinking and emotional responses. In the case of emotions, the results also suggest that entrepreneurs who had already received funding from venture capital investors remained emotionally robust during the crisis, as evidenced by the expression of more positive emotions compared to entrepreneurs without funding.

This study contributes to the understanding of entrepreneurial communication and adds the context of an exogenous shock to this research stream. Furthermore, this study highlights the effects of venture funding on the digital communication style of entrepreneurs, especially in the context of expressed emotions, and suggests emotional robustness for these entrepreneurs.

The purpose of this paper is to understand how digital technologies can help healthcare organisations and improve the exploration-exploitation paradox over time. The authors explore inputs, processes and outcomes of implementing digital transformation programs and advance four testable propositions.

The authors conducted multiple case studies with embedded units of analysis: digital transformation processes; hospitals; and regional healthcare systems. Primary sources come from 107 semi-structured interviews with key informants within 14 Italian hospitals between 2009 through 2011.

Three complementary paths emerge as fundamental to balance exploratory and exploitatory efforts in healthcare: assets digitalisation within hospitals; digitally based process integration; and disruptive decision-making through analytics. Intra- and inter-path characteristics are discussed to show how digital transformation can both move hospital within the exploration-exploitation space.

By its very nature, this study is exploratory. Notwithstanding the number of cases and interviews, its generalisability is limited.

Digital transformation programs are fundamental to resolve the tensions raised by the exploration-exploitation paradox. Their implementation leads to better performance (cost reductions, quality improvements). A framework is provided for practitioners to make better decisions.

This study sheds new light on how digital technologies are actually adopted and adapted in healthcare contexts. It does it by entailing a longitudinal perspective.