Search results

This paper aims to apply a multidimensional approach to assessing the financial well-being of European countries.

Financial well-being is a very complex phenomenon to measure because it is composed of different dimensions. Therefore, this paper uses a multidimensional and fuzzy methodology to assess financial well-being in Europe. The financial well-being fuzzy indicator was calculated using European Quality of Life Survey data.

Financial well-being is heterogeneous across European countries. This evidence is confirmed both at the level of overall financial well-being and at the level of sub-indices. The degree of financial well-being is not directly related to wealth as traditionally measured (i.e. GDP), but shows some correspondence with socio-economic characteristics of the population and with governance and cultural elements of a country.

Understanding financial well-being could help financial institutions to transition from a one-size-fits-all approach to a more tailored approach when they provide financial services and could help policy makers to consider financial well-being when they decide how and where to allocate public spending.

To the best of authors’ knowledge, this study is the first to employ a fuzzy methodology for the analysis of financial well-being in Europe.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

The paper aims to explore how companies communicate their heritage by drawing on heritage marketing and corporate communications literature and mapping the corporate heritage communication strategies of iconic Italian brands.

The study adopts an inductive multiple case study approach, analysing the communication of corporate heritage by nine iconic Italian brands (Pastificio Lucio Garofalo, Barovier & Toso, Pasta Farina, Ducati, Amaro Montenegro, Fiat, Bonomelli, Olivetti and Illy).

In communicating corporate heritage, companies adopt different strategies that vary along two main dimensions – the subject of the story and the tone of voice of the content. The strategies are: (1) heritage for authenticity; (2) heritage for market leadership; and (3) heritage for continuity.

From a theoretical point of view, the study highlights that heritage marketing strategies vary according to underlying strategic themes and narrative approaches. From a managerial point of view, it offers a preliminary guide for the development of corporate heritage communications, also providing indications for their implementation.

This study is amongst the firsts to investigate the strategic antecedents that can shape corporate heritage communication strategies. It represents an integration of the existing literature, which is limited to the descriptive presentation of heritage marketing principles and tools.

This study aims to identify the countries’ innovation factors that are determinant for them to achieve higher levels of development. In addition, the research identified which of these factors should be prioritized so the countries can move up in the rank of the most competitive.

The study used the indicators of innovation and the stage of development of 137 countries proposed by the Global Competitiveness Report published by the World Economic Forum and techniques of multivariate data analysis.

The results indicated that all the factors tested are determinant to lead the countries throughout their stages of development. The research highlights that the factors “Quality of scientific research institutions” and “Patent Cooperation Treaty (PCT) patent applications” should be equally prioritized for the countries’ development.

The results suggested that the factors Capacity for Innovation, Quality of Scientific Research Institutions, Company Spending on Research and Development (R&D), University–Industry Collaboration in R&D, Government Procurement of Advanced Technology Products, Availability of Scientists and Engineers and PCT Patent Applications are decisive for positioning countries in terms of their stage of development and should be part of their public policy and enterprises’ strategic planning.

The findings show that countries should prioritize the factors Quality of Scientific Research Institutions and PCT Patent Applications, as these factors, when acting together, predict the evolution to higher stages of development.