Citizens are an essential part of the process of smartification and sustainable development of cities as they must adopt, understand and interact with the enabling technologies of digital transformation of societies, cities, and public administration. Therefore, technology acceptance is crucial to creating smart and citizen-centered cities. This is even more challenging in small towns that suffer from an aging population, desertification, lack of infrastructure, and especially the digital divide. The purpose of this research is to investigate the adoption of an Urban Services Technology (UST) in tourism management within a tourism-oriented small town in Southern Italy. A questionnaire was then constructed according to the 12-variable Urban Service Technology Acceptance Model (USTAM), and 216 responses were obtained from a defined group of 1076 subjects. Analyzing the data with a quantitative approach by conducting Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM), the assumptions of the initial model were all rejected and new five factors emerged. The path diagram shows that only the factors Sustainability, Ease and Value have a positive correlation with technology adoption. Future research might investigate the mediating role of socio-demographic variables on technology acceptance by considering geographical and cultural diversity among small towns.
PurposeThe aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.Design/methodology/approachA literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.FindingsAI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.Originality/valueService innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.
This study aims to investigate whether and how institutions can contribute to generate value at a territorial level and in which way this value may fit with value-in-business. Starting from the conceptualization of value generation and its relationship with territorial development according to service ecosystem perspective, this study aims to present and discuss an experimental project carried out in a specific Italian area to better understand these main theoretical issues. Specifically, the Sicily region is significant for the genetic factors of the context, linked to a social and cultural structure which, despite the presence of numerous obstacles to socio-economic development, strengthen the path of ‘multi-actor and multi-level’ involvement, which implies the active participation of a plurality of local actors essential to generate value for the territory and for business.
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