Digital transformation and tourist experience co-design: big social data for planning cultural tourism

Article


Cuomo, M., Tortora, D., Foroudi, P., Giordano, A., Festa, G. and Metallo, G. 2021. Digital transformation and tourist experience co-design: big social data for planning cultural tourism. Technological Forecasting and Social Change. 162, pp. 1-9.
TypeArticle
TitleDigital transformation and tourist experience co-design: big social data for planning cultural tourism
AuthorsCuomo, M., Tortora, D., Foroudi, P., Giordano, A., Festa, G. and Metallo, G.
Abstract

Digital transformation has completely changed the demand/offering interaction in the travel industry, as well as largely affecting the customer journey. In this direction, “big social data” and user-generated content have become key sources of well-timed and rich knowledge supporting data driven decision approaches addressed the managing of complex relationships. Based on this theoretical framework, the paper suggests how to apply “big social data” in the tourist experience co-design, providing an increased value for the visitors and a better decision making approach for managers. In this respect, the field analysis concentrated specifically on user-generated content regarding the Pompeii Archaeological Site (P.A.S.), to trace valuable insights for the tourist experience. Based on double stage of research – netnographic analysis and a supplementary online survey – the study aimed to detect: (a) tourist perception on the P.A.S.; (b) random chat on the part of internet users (tourists and other browsers, not necessarily visitors) on the topic of the P.A.S.; (c) the main characteristics of the P.A.S. that attract internet user attention; (d) the main topics debated by influencers/opinion leaders managing online discussions on the P.A.S. managerial and theoretical implications were investigated highlighting the main limitations of the study as well.

PublisherElsevier
JournalTechnological Forecasting and Social Change
ISSN0040-1625
Publication dates
Online07 Oct 2020
Print31 Jan 2021
Publication process dates
Deposited23 Sep 2020
Submitted03 Mar 2020
Accepted22 Sep 2020
Output statusPublished
Accepted author manuscript
License
Copyright Statement

© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/89144

Download files


Accepted author manuscript
  • 45
    total views
  • 49
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as