Search results

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.

Empirical research on European stock markets has shown that they behave differently according to the performance of the leading financial market identified as the US market. A positive sign is viewed as good news in the international financial markets, a negative sign means, conversely, bad news. As a result, we assume that European stock market returns are affected by endogenous and exogenous shocks. The former raise in the market itself, the latter come from the US market, because of its most influential role in the world. Under standard assumptions, the distribution of the European market index returns conditionally on the sign of the one-day lagged US return is skew-normal. The resulting model is denoted Skew-GARCH. We study the properties of this new model and illustrate its application to time-series data from three European financial markets.

The editors are pleased to offer the following papers to the reader in recognition and appreciation of the contributions to our literature made by Robert Engle and Sir Clive Granger, winners of the 2003 Nobel Prize in Economics. Please see the previous dedication page of this volume. This part of Volume 20 of Advances in Econometric focuses on volatility models. The contributions cover a variety of topics and are organized into three broad categories to aid the reader. The first five papers focus broadly on multivariate Generalised auto-regressive conditional heteroskedasticity (GARCH) models. The first four papers propose new models that enhance existing models, while the final paper proposes a test for multivariate GARCH in the models with non-stationary variables. The next three papers examine topics related to high frequency-data. The first of these papers compares asymptotically mean square error (MSE)-equivalent sampling frequencies and window lengths, while the other two papers in this group consider the problem of estimating volatility in the presence of microstructure noise. The last five papers are contributions relevant primarily to univariate volatility models. Of course, we are also pleased to include Rob's and Clive's remarks on their careers and their views on innovation in econometric theory and practice that were given at the third annual Advances in Econometrics Conference held at Louisiana State University, Baton Rouge, on November 5–7, 2004.

This paper aims to investigate the role of design as a knowledge translation mechanism in R&D-oriented open innovation. In particular, the paper intends to look at how design can be used as a means of knowledge transfer among various stakeholders who speak different languages and have divergent needs and interests in a process where knowledge openly flew across the boundaries of a high number of organizations.

The paper combines the insights from theory with the empirical evidences gathered by adopting an extreme case study approach: the detailed analysis of a case study related to an R&D project funded by the European Commission and aimed to investigate and produce innovative serious games in the area of healthcare. The project gathered a large number of stakeholders and deliberately adopted design to support an open innovation approach.

The paper provides insights into the use of design outputs such as artifacts, sketches, visual representations or prototypes to translate ideas, theoretical and technical requirements, documents and outputs into formats that can be more easily understood and appreciated by various stakeholders. This supports and favors coordination in open innovation projects where many different stakeholders are engaged in.

Although the adoption of an extreme case study approach offers important implications to understand the role of design in R&D-oriented open innovation, the use of a single case study represents the basis both to explore hypothesis and to provide first evidences that need to be further tested with other qualitative and quantitative analysis.

The paper offers practical implications about how design can help individuals and organizations involved in R&D activities to better communicate and share knowledge among various stakeholders by aligning their different needs, interests and languages along the various phases of their project development.

The originality of the paper lays at the intersection of three different fields: open innovation, knowledge management and design for innovation, thus integrating mature, but so far isolated, research streams. It provides insights for theory building by explaining the use of design as knowledge translational mechanism as well as it informs the practice by highlighting the power of design as a mean to support knowledge flows into open innovation-based R&D projects.

This paper explores the stereotype of the accountant in Florentine medieval popular culture based on literary works and from a historical perspective. It aims to highlight how stereotypes change with time and represent the cultural and historical evolution of a society. This research challenges Miley and Read (2012), who stated that the foundation of the stereotype was in Commedia dell'arte, an Italian form of improvisational theatre commenced in the 15th century.

The authors applied a qualitative research method to examine the accountant from a medieval popular culture perspective. The analysis consists of two phases: (1) categorisation of the accountant stereotype based on accounting history literature and (2) thematic analysis of The Divine Comedy (1307–1313) and The Decameron (1348–1351). The authors explored a synchronic perspective of historical investigation through a “cross-author” comparison, identifying Dante Alighieri as the first key author of medieval popular culture. During his imaginary journey through The Divine Comedy, Dante describes the social, political and economic context of the Florentine people of the 14th century. Then, with its various folkloristic elements, The Decameron of Giovanni Boccaccio becomes the “manifesto” of the popular culture in the Florentine medieval times.

This study shows the change of the accountant stereotype from the medieval age to the Renaissance. The Divine Comedy mainly connotes a negative accountant stereotype. The 14th century's Florentine gentlemen (“i galantuomini”) are apparently positive characters, with an ordered and clean aspect, but they are accused of being usurers. Dante Alighieri pictures the accountant as a “servant of capitalism”, “dishonest person, excessively fixated with money”, “villain and evil” and “excessively rational”. Giovanni Boccaccio mainly portrays a positive accountant stereotype. The accountant is increasingly more reliable, and this “commercial man” takes a more prestigious role in the society. In The Decameron, the accountant is depicted as a “hero”, “gentleman”, “family-oriented person with a high level of work commitment” and “colourful persona, warm, and emotional”. Overall, the authors provided new evidence on the existence of the accountant stereotype in the Florentine medieval popular.

This study engages with accounting history literature accountants' stereotypes in an unexplored context and time period, providing a base for comparative international research on accounting stereotypes and popular culture. Additionally, it addresses the need for further research on the accountant stereotype based on literary works and from a historical perspective. Therefore, this research also expands the New Accounting History (NAH) literature, focussing on the investigation of the accountant stereotype connotations in the 14th century.

Halving food waste has been included within the 17 UN Sustainable Development Goals. Food wasted out-of-home is the second source of food waste. However, the majority of the studies have focused on home generated food waste, and still little is known about out-of-home food waste and how it is managed by food service companies. The purpose of this paper is to adopt a double perspective in analyzing food waste generated at a food service level, by focusing on both the client and business perspective.

First, from the client perspective, the authors aim at analyzing consumer out-of-home habits, self-reported waste quantification, and doggy bag usage by reporting the results of an exploratory survey which involved 411 individuals living in central Italy. Second, from a business perspective, the authors analyzed an award-winning practice that manages out-of-home food waste in Italy by combining food surplus management and digital solutions with a profitable business model innovation.

Results obtained from the two perspectives of analysis support the need of business investments in innovations and digital solutions, in order to meet client needs and behavior, thus contributing to better manage and reduce food surplus and waste.

This study will raise practitioners’ knowledge on the advantages of digital solution in food surplus management, along with a better comprehension on food waste behavior from the client perspective.

This is the first study that analyses out-of-home waste from both the client and business perspective, emphasizing how digital solutions can help in reducing the phenomenon.