Claudio Nigro, Enrica Iannuzzi, Naomi di Santo and Roberta Sisto
This paper aims to investigate the phenomenon of online food purchasing in Italy and, specifically, Italian consumers' future intentions to use these services even after the end…
Abstract
Purpose
This paper aims to investigate the phenomenon of online food purchasing in Italy and, specifically, Italian consumers' future intentions to use these services even after the end of the COVID-19 emergency. To this purpose, to understand if these phenomena are robust enough to represent irreversible and well-established trends, in the present study, consumers’ Behavioural Intention was investigated.
Design/methodology/approach
A theoretical framework based on a preliminary literature analysis on the use of delivery services was developed. Then, an online survey was carried out in Italy during 2021. The data were then elaborated through an exploratory factor analysis (EFA), followed by confirmatory factor analysis (CFA). Following the verification of constructs reliability, a structural equation modelling (SEM) using the statistical tools, SPSS and R (Lavaan) was performed.
Findings
The results suggest that Behavioural Intention is influenced by items such as convenience, variety of food and time savings. Moreover, the relevant role of social networks and interpersonal relationships in influencing consumers' purchasing intentions has highlighted the importance of focussing on advertising campaigns and good “word of mouth.”
Originality/value
The present research represents the first attempt to investigate the food delivery and ghost kitchens’ phenomena, recently accepted thanks to the delivery applications use in Italy, a Country with strong gastronomic tradition and with an important digital gap. In this scenario, the research focused on the attention on the consumers' future intentions to use these services even after the end of the COVID-19 emergency.
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Simona Curiello, Enrica Iannuzzi, Dirk Meissner and Claudio Nigro
This work provides an overview of academic articles on the application of artificial intelligence (AI) in healthcare. It delves into the innovation process, encompassing a…
Abstract
Purpose
This work provides an overview of academic articles on the application of artificial intelligence (AI) in healthcare. It delves into the innovation process, encompassing a two-stage trajectory of exploration and development followed by dissemination and adoption. To illuminate the transition from the first to the second stage, we use prospect theory (PT) to offer insights into the effects of risk and uncertainty on individual decision-making, which potentially lead to partially irrational choices. The primary objective is to discern whether clinical decision support systems (CDSSs) can serve as effective means of “cognitive debiasing”, thus countering the perceived risks.
Design/methodology/approach
This study presents a comprehensive systematic literature review (SLR) of the adoption of clinical decision support systems (CDSSs) in healthcare. We selected English articles dated 2013–2023 from Scopus, Web of Science and PubMed, found using keywords such as “Artificial Intelligence,” “Healthcare” and “CDSS.” A bibliometric analysis was conducted to evaluate literature productivity and its impact on this topic.
Findings
Of 322 articles, 113 met the eligibility criteria. These pointed to a widespread reluctance among physicians to adopt AI systems, primarily due to trust-related issues. Although our systematic literature review underscores the positive effects of AI in healthcare, it barely addresses the associated risks.
Research limitations/implications
This study has certain limitations, including potential concerns regarding generalizability, biases in the literature review and reliance on theoretical frameworks that lack empirical evidence.
Originality/value
The uniqueness of this study lies in its examination of healthcare professionals’ perceptions of the risks associated with implementing AI systems. Moreover, it addresses liability issues involving a range of stakeholders, including algorithm developers, Internet of Things (IoT) manufacturers, communication systems and cybersecurity providers.
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Mariapina Trunfio, Luca Petruzzellis and Claudio Nigro
The paper sets out to analyses the approach of Southern Italian regions in the way they are developing different types of tourist products.
Abstract
Purpose
The paper sets out to analyses the approach of Southern Italian regions in the way they are developing different types of tourist products.
Design/methodology/approach
In an attempt to measure tour operator preferences that impact the offer features, the tour operators' profiles have been traced, through a cluster analysis, in order to develop the market of new tourist products in Southern Italy.
Findings
The findings prove that the attitude of foreign tourists in choosing Southern Italian destinations is influenced not only by seaside location and cultural products but also by alternative features, such as natural resources and enogastronomic traditions, which represent the differentiating and value‐creating elements of the basic product. Moreover, the accommodation chosen confirms international tour operator loyalty.
Research limitations/implications
The cluster definition helps in identifying collective strategies to promote macro destinations, connecting similar places linked by tourist need satisfaction. Future research should consider the different typologies of tour operators and try to compare different areas of Europe with Italy.
Practical implications
New forms of tourism require specific and differentiated strategies supported by forms of international market penetration. The marketing thrusts should focus on the place vocation and a local hospitality system, developing and marketing local tourist products.
Originality/value
This paper analyses the role of tourist operators in developing and marketing new destinations and typologies of tourism.
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This issue of Managerial Finance brings together five papers that explore the manifold dimensions of pension issues. The papers document and explain the dynamic changes occurring…
Abstract
This issue of Managerial Finance brings together five papers that explore the manifold dimensions of pension issues. The papers document and explain the dynamic changes occurring in the management and functioning of private pension plans within an evolving institutional and regulatory framework. Although the papers predominantly focus on the U.S. pension system, the issues addressed and the attendant implications are relevant to economies in the throes of developing or reforming pension security arrangements for market participants.