Measuring consumers' level of satisfaction for online food shopping during COVID-19 in Italy using POSETs.

The pandemic COVID 19 has upset the economic, social, financial, and general behavioral systems. Global crisis has a large impact overall and related fallouts significantly affect existent structural paradigms in every country and region across the world. In particular, the spread of COVID-19 pandemic has led to having to rethink the way we produce and consume food. Within this global change, a rise in the number of consumers who purchase food products online in order to comply with the rules aimed at limiting the circulation of the virus should be emphasized. Consequently, probably causing a long-term positive effect on m-commerce. The purpose is to elaborate on the index of the satisfaction level of consumers of purchasing food online via food shopping channels, by using key factors that characterize the online spending behavior. The analysis was carried out by collection of data deriving from an anonymous online questionnaire administrated via social networks and emails, during the 'hot' months of the pandemic progression in Italy, which is March-May 2020. We analyse both dimensions of customer satisfaction (process and outcome), by means of two systems of indicators. We reduce their complexity using synthesis obtained with the Partially ordered set. Results highlight the differences between the two dimensions of customer satisfaction. Online shopping can surely contribute to reduction of food waste thanks to elimination of frenzied shopping routines at supermarkets and can open space to new fields of study. On the other hand, defining an index of the consumer's satisfaction can alter sales strategies of m-commerce managers and entrepreneurs.

Identification of Health Expenditures Determinants: A Model to Manage the Economic Burden of Cardiovascular Disease.

The purpose of this paper is to investigate the determinants influencing the costs of cardiovascular disease in the regional health service in Italy's Apulia region from 2014 to 2016. Data for patients with acute myocardial infarction (AMI), heart failure (HF), and atrial fibrillation (AF) were collected from the hospital discharge registry. Generalized linear models (GLM), and generalized linear mixed models (GLMM) were used to identify the role of random effects in improving the model performance. The study was based on socio-demographic variables and disease-specific variables (diagnosis-related group, hospitalization type, hospital stay, surgery, and economic burden of the hospital discharge form). Firstly, both models indicated an increase in health costs in 2016, and lower spending values for women (p < 0.001) were shown. GLMM indicates a significant increase in health expenditure with increasing age (p < 0.001). Day-hospital has the lowest cost, surgery increases the cost, and AMI is the most expensive pathology, contrary to AF (p < 0.001). Secondly, AIC and BIC assume the lowest values for the GLMM model, indicating the random effects' relevance in improving the model performance. This study is the first that considers real data to estimate the economic burden of CVD from the regional health service's perspective. It appears significant for its ability to provide a large set of estimates of the economic burden of CVD, providing information to managers for health management and planning.

The impact of COVID-19 on alternative and local food systems and the potential for the sustainability transition: Insights from 13 countries.

The COVID-19 pandemic has been a major stress test for the agri-food system. While most research has analysed the impact of the pandemic on mainstream food systems, this article examines how alternative and local food systems (ALFS) in 13 countries responded in the first months of the crisis. Using primary and secondary data and combining the Multi-Level Perspective with social innovation approaches, we highlight the innovations and adaptations that emerged in ALFS, and how these changes have created or supported the sustainability transition in production and consumption systems. In particular, we show how the combination of social and technological innovation, greater citizen involvement, and the increased interest of policy-makers and retailers have enabled ALFS to extend their scope and engage new actors in more sustainable practices. Finally, we make recommendations concerning how to support ALFS' upscaling to embrace the opportunities arising from the crisis and strengthen the sustainability transition.

Reducing Information Gap and Increasing Market Orientation in the Agribusiness Sector: Some Evidences from Apulia Region.

BACKGROUND: Market orientation plays a crucial role in reinforcing firm's competitive advantage; nevertheless, marketing myopia can negatively affect a clear perception of the market. METHODS: An organization that defines itself by product rather than by market terms is probably affected by marketing myopia, a narrowness of mind towards any newness - newness respect to firms' convincement and routines - coming from the external environment. In that context some scientific relevant developments that comes from recent patents have been considered. This paper explores the determinants of marketing myopia in the Apulia wine business (South Italy). RESULTS: The aim of this paper is to describe how experiential research based on Consumer Science research tools, can facilitate a better market knowledge. Experimental sessions carried out in 2013 in Apulia with a group of professionals from the oil and wine sectors clearly demonstrate how country of origin effect can improve marketing myopia. CONCLUSION: Through a protocol based on an "academicians - practitioners" model, professionals can be facilitated in their strategy formulation.