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This article analyses the new venture creation by patient innovators in 40 countries examining the effects of the four macro-level factors on entrepreneurship, adding a fifth sector-specific (healthcare) factor.

By applying the statistical tool of principal component analysis, we find a clustering behavior of health user entrepreneurs across countries, indicating that common macro-level conditions affect this phenomenon in a nonlinear way.

Healthy user innovators are more likely to become entrepreneurs in those countries where creativity, economic opportunities and business environment are increasing from the lower level until a certain threshold. After that level, user entrepreneurship seems to be not relevant.

We contribute to the extant literature about macro-level determinants of entrepreneurship by exploring how much such conditions impact on the decision to create new firm by user innovators.

This paper explores innovation adoption in inter-organizational healthcare networks. The authors develop theoretical speculations to investigate better the role of artificial intelligence (AI) as an innovative tool to improve buyer-supplier relationships, creating better performance outcomes.

The research is based on a theoretical investigation aiming at exploring the role of AI-based solutions for managing buyer-supplier relationships. The conceptual approach allows us to identify some research streams (e.g. co-working collaborations in supply chain management) by proposing a matrix that helps clarify the analysis's directions.

The results show the importance of AI that can help the operator in accessing supplier information, including current prices, available stocks, and delivery status, thereby reducing the risk of information asymmetry. AI is intended not only as a technology tool but also as an innovative solution to promote business relationships and support vertical alliances through the value chain between buyer and supplier.

This paper can help healthcare actors examine the choices behind their operational strategies by providing transparency of the activities and availability of information in real-time. Finally, our study reflects the future directions to enhance the cooperation and innovation adoption among healthcare operators.

Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?

The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.

The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.

The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.

The COVID-19 outbreak has undoubtedly affected overall mental health. Thus, researching resilience is important, as it has been previously discussed as a means to protect people from mental health problems. This study aims to clarify whether survivors of a traumatic event (i.e. cancer survivors) are more resilient to living through another traumatic experience, such as COVID-19, compared to those who have never had such an experience. The study also examines the role of emotional creativity in this process.

A quantitative research design was adopted. The data collection was performed through a survey (N = 338), which was conducted among two separate groups of participants. The first group (N = 152) included the survivors of a traumatic event (i.e. cancer survivors), and the second group (N = 186) included those who did not have such an experience.

The results demonstrate that living through a traumatic experience results in a higher level of resilience during another traumatic experience (i.e. COVID-19), which is the result of higher post-traumatic growth. Moreover, emotional creativity is discussed as an explanatory variable that explains a significantly higher level of post-traumatic growth among survivors of a traumatic event.

This research offers a better understanding of the effect of living through a traumatic event on post-traumatic growth and resilience in living through another traumatic experience. Moreover, post-traumatic growth is explained through emotional creativity improvement, which happens after experiencing a traumatic life event.

The paper aims to explore the value generated by a specific configuration of a smart city's infrastructure by proposing a comparison between a silos configuration versus a crowd configuration at the data storage and processing level.

A system dynamics simulation is adopted to determine and compare the value created by the two configurations of smart city's infrastructure. The simulation outlines the flow of data and their positive and negative feedback that reinforce and hinder the smart city value generation.

The results demonstrate the huge impact of the availability of data for App developers when crowdsourcing configuration is adopted. Furthermore, results unveil the potential in value generation of a crowdsourcing smart city platform configuration compared to a silos architecture.

The authors have proposed a comparison between two alternative smart city digital platform configurations. The paper seeks to test the magnitude of the pros and cons of a crowdsourcing approach in setting up a smart city digital platform. The paper provides new guidelines for improving the data management of smart cities.

Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study aims to explore the role of Artificial Intelligence in organisational positioning within the market, influencing firms' competitiveness. In this vein, this research seeks to respond to the following research question: How does AI impact the competitive advantage of healthcare organizations?.

To tackle the research question, an explorative analysis using the case study method to investigate an international healthcare center in Dubai was conducted. Nine semi-structured interviews were conducted with the head and the members of the robotic surgery team in CMC Dubai to thoroughly understand what the components of the robotic approach are and how the arrangement before the introduction of this innovative technique while shedding light on the added value and the advantages of adopting such technique on both patient safety and patient satisfaction. Additionally, archival data and online documentation (e.g. industry reports, newspaper articles and internal documents) were analyzed to obtain data triangulation.

The results highlight three primary outcomes influenced by implementing AI in organizational processes: clinical, financial and technological outcomes. The study will offer interesting non-studied insights about the implementation of Artificial Intelligence tools in the healthcare sector and specifically robotic surgeries, and to which extent this will contribute and represent a competitive advantage. Results will hopefully insert a brick in the wall of the impact of AI tools on the quality and the results of surgical operations while emphasizing the benefits of integrating AI in surgical practice.

This study offers interesting theoretical and practical implications. It opens a new perspective to understand and manage AI tools in service. This research is not without limits providing valuable insights for future research.

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

The paper faces artificial intelligence issues in the venture creation process, exploring how artificial intelligence solutions intervene and forge the venture creation process. Drawing on the most recent literature on artificial intelligence and entrepreneurship, the authors propose a set of theoretical propositions.

The authors adopt a multiple case approach to assess propositions and analyse 4 case studies from which the authors provide (1) more detailed observation about entrepreneurial process phases influenced by artificial intelligence solutions and (2) more details about mechanics enabled by artificial intelligence.

The analysis demonstrates artificial intelligence contributes alongside the entrepreneurial process, enabling mechanisms that reduce costs or resources, generate new organizational processes but simultaneously expand the network needed for venture creation.

The paper adopts a deductive approach analyzing the contribution of AI-based startup offerings in changing the entrepreneurial process. Thus, the paper provides a practical view of the potentiality of artificial intelligence in enabling entrepreneurial processes through the analysis of compelling propositions and the technological ability of artificial intelligence solutions.

The purpose of this paper is to investigate the effects of corporate governance mechanisms, namely, board of directors and auditors, on tax aggressiveness in Italian companies listed on the Milan Stock Exchange.

This study used a population of 168 Italian non-financial firms listed on the Milan Stock Exchange, holding shares in at least one foreign subsidiary in countries other than Italy in fiscal year 2018. Data on corporate boards and auditors were collected through the evaluation of companies’ annual reports over the period 2011–2018. Five panel data analyses with fixed effects were performed for each tax aggressiveness index, yielding 1,176 observations to test the research hypothesis.

This paper finds that corporate board characteristics, such as size, gender diversity and CEO duality, and auditors’ features, such as external audit quality, increase corporate tax aggressiveness.

This study provides investors with an understanding of corporate boards’ and auditors’ roles in preventing agency conflicts and evaluating a company’s tax approach. Furthermore, the findings are useful for international political bodies in regulating corporate board composition and managerial monitoring.

Almost all studies focusing primarily on corporate governance mechanisms’ effects on tax aggressiveness are within the US context. Empirical evidence on the topic in the European contexts is limited. The legislative discrepancy between countries is reflected in the computation of indices measuring tax aggressiveness, affecting US studies' generalizability across nations. This paper extends the literature on the topic by investigating other unexplored corporate governance mechanisms. Five indices were used to measure corporate tax aggressiveness and to assess analysis reliability and data robustness. Moreover, to the best of the authors’ knowledge, this study is the first attempt to investigate the link between corporate governance mechanisms and tax aggressiveness in Italy.