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Open Access
Article
Publication date: 21 March 2024

Giovanni De Luca and Monica Rosciano

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Tourism Futures, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2055-5911

Keywords

Open Access
Article
Publication date: 10 January 2023

Federica Sacco and Elisa Conz

The paper aims to explore how companies communicate their heritage by drawing on heritage marketing and corporate communications literature and mapping the corporate heritage…

3877

Abstract

Purpose

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.

Design/methodology/approach

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).

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Corporate Communications: An International Journal, vol. 28 no. 7
Type: Research Article
ISSN: 1356-3289

Keywords

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