Search results

The paper aims to investigate the practices facilitating the transformation of healthcare services, understanding the resulting outcomes in terms of well-being and uplifting changes. a systematic literature review (SLR) focusing on analyzing the healthcare sector under the transformative service research (TSR) theoretical domain is conducted to achieve this goal.

Employing a structured SLR developed based on the PRISMA protocol (Pickering and Byrne, 2014; Pickering et al., 2015) and using Scopus and WoS databases, the study identifies and analyzes 49 papers published between 2021 and 2022. Content analysis is used to classify and analyze the papers.

The SLR reveals four transformative practices (how) within the healthcare sector under the TSR domain, each linked to specific well-being outcomes (what). The analysis shows that both practices and outcomes are mainly patient-related. An integrative framework for transformative healthcare service is presented and critically examined to identify research gaps and define the trajectory for the future development of TSR in healthcare. In addition, managerial implications are provided to guide practitioners.

This research is among the first to analyze TSR literature in the context of healthcare. The study critically examines the TSR’s impact on the sector’s transformation, providing insights for future research and offering a roadmap for healthcare practitioners to facilitate uplifting changes.

Research has examined how new ventures strengthen local economic outcomes; however, limited research examines health-oriented ventures and their impact on social outcomes, including health outcomes. Increased VC investment in healthcare service start-ups signals more activity toward this end, and the need for further academic inquiry. We examine the relationship between these start-ups and county-level health outcomes, health factors, and hospital utilization.

Data on start-ups funded via institutional venture capital from PitchBook were merged with US county-level outcomes from the County Health Rankings and Area Health Resources Files for 2010 to 2019. We investigated how the number of VC-funded healthcare service start-ups, as well as a subset defined as innovative, were associated with county-level health measures. We used panel models with two-way fixed effects and Propensity Score Matched (PSM), controlling for demographics and socioeconomic factors.

Each additional VC-funded healthcare service start-up was related to a significant 0.01 percentage point decrease in diabetes prevalence (p < 0.01), a decrease of 1.54 HIV cases per 100,000 population (p < 0.1), a 0.02 percentage point decrease in obesity rates (p < 0.01), and a 0.03 percentage point decrease in binge drinking (p < 0.01). VC-funded healthcare service start-ups were not related to hospital utilization.

This work expands our understanding of how industry-specific start-ups, in this case healthcare start-ups, relate to positive social outcomes. The results underscore the importance of evidence-based evaluation, the need for expanded outcome measures for VC investment, and the possibilities for integration of healthcare services and entrepreneurship ecosystems.

Further investigation is needed of network effectiveness in healthcare and how it is influenced by unpredictable events like COVID-19. Based on Provan and Milward’s (2001) framework, this study investigates the effectiveness criteria of healthcare networks and their potential contribution to network effectiveness during the pandemic’s challenges.

This research employs an explanatory case study in a local area of Italy’s Lombardy Region and analyzes network effectiveness at the network level based on network member perceptions.

Network effectiveness refers to the network’s ability to address patient needs, guaranteeing services through network members' coordinated efforts and a central coordinator that facilitates their interaction. Members’ capacity to strengthen their roles played a crucial part in sustaining network effectiveness when COVID-19 revised other members’ priorities and threatened achievement of network goals.

This study’s findings equip healthcare managers and policymakers with knowledge about network effectiveness criteria at the network level, offering suggestions for managerial practices and network design to address exogenous shocks.

This study identifies factors that influence network effectiveness criteria and provides insight into how network members can contribute to sustaining effectiveness during crises.

This study aims to address the question of what coordination mechanism can be used for cultural production and, in particular, for the governance of music culture production. The authors locate their reflection within the specific institutional innovations introduced in Italy in 2017, focusing on the idea of shared administration and the public–private collaboration instituted in Trentino (a province located in northern Italy) in support of its cultural policy.

This study focusses on the Trentino’s music school system. This includes 13 organisations (musicians’ cooperatives as well as associations of musicians and students, plus one municipal school which do not overlap with the public school system). To analyse shared administration features, the authors rely on selected information from 50 interviews with Trentino Music Schools (TMS) teachers and administrators, and on the proceedings of the 1994 music school conference organised by the schools at the time when this novel educational system was created.

To offer an innovative educational service, the public actor (Provincia Autonoma di Trento [PAT]) and the schools (TMS) have developed a strong interdependence at the different levels of decision-making: PAT needs organisations that are sufficiently structured and organised to respect requirements of transparency and accountability, as well as educational standards, whereas TMS need public funding to maintain their service accessible for users, good labour conditions and be financially sustainable. Likewise, the success of TMS in educating thousands of students every year, including additional teaching programmes funded by PAT within general public schools, has contributed to decrease the exclusion from music education, raise interest in young people for music and fed enrolment in TMS as well as in the public schools related to the conservatoire filière. Conclusions emphasise the existence of a polycentric system of music culture production which needs to acknowledge the risk of being trapped in a static disequilibrium, while recognising change and the need to support and promote a culture of cooperation among schools and across layered institutional levels over time.

Further research can observe this system of cultural production over time, to appreciate changes and organisational tranformations, while introducing comparative analysis with other systems in different regions.

The relationship between the public and private sectors to design, organise and manage activities of collective interest (in the social, cultural, sporting and other fields) can increasingly become an effective and efficient alternative to the traditional bureaucratic as well as to the competitive method. For this to happen, however, all actors involved must be aware not only of areas of efficiency but also of inefficiency. To remedy the latter, corrective measures will have to be introduced. For example, fostering and improving “co-programmazione” and “co-progettazione” means giving all stakeholders involved the opportunity to actively participate. Should the number of participants increase, more discussion fora could be set up because one alone may not be sufficient to foster maximum involvement, to enhance different points of view, to allow for intersectoral and multidisciplinary interpretations and responses.

The system governance based on co-programming and co-design has allowed – despite limitations – to pursue educational purposes and thus well-being for the users, as well as for the teachers and the community as a whole. The continuity of this educational and cultural action has been guaranteed by the economic and financial sustainability of the schools, which is highly dependent on the public actor funding personnel costs, and in turn tied to the number of students (demand) attending each school. Actors embedded in the system need to build awareness of industry and cultural changes and knowledge of how to introduce more adaptive capacity. This points towards the need for strengthening networking capacity and collaboration among schools and other relevant stakeholders.

The case presented is a unique system of music culture production in Italy, and its governance has never been addressed by previous studies. It provides an application of shared administration to which public administrations and communities can learn to improve access to music culture and education. For public and private organisations to take advantage of the method of “co-programmazione” and “co-progettazione”, to make the production of a meritorious good more efficient and to favour its maximum accessibility, this study considers the strengths and weaknesses of this approach, or the areas of efficiency and inefficiency, for which new measures will have to be introduced.

This paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey of the latest publications, in particular papers and reports issued by academics, consulting companies and think tanks.

Our paper represents a point of view on AI and its impact on the global economy. It represents a descriptive analysis of the AI phenomenon.

AI represents a driver of productivity and economic growth. It can increase efficiency and significantly improve the decision-making process by analyzing large amounts of data, yet at the same time it creates equally serious risks of job market polarization, rising inequality, structural unemployment and the emergence of new undesirable industrial structures.

This paper presents itself as a building block for further research by introducing the two main factors in the production function (Cobb-Douglas): labor and capital. Indeed, Zeira (1998) and Aghion, Jones and Jones (2017) suggested that AI can stimulate growth by replacing labor, which is a limited resource, with capital, an unlimited resource, both for the production of goods, services and ideas.

Our study contributes to the previous literature and presents a descriptive analysis of the impact of AI on technological development, economic growth and employment.