The COVID-19 Crisis Effect on Railways’ Digital Branding: Risk Management Applications Utilizing Big Data
Damianos P. Sakas,
Ioannis Dimitrios G. Kamperos (),
Marina C. Terzi and
Athanasios Kriemadis
Additional contact information
Damianos P. Sakas: School of Applied Economics and Social Sciences, Agricultural University of Athens
Ioannis Dimitrios G. Kamperos: School of Applied Economics and Social Sciences, Agricultural University of Athens
Marina C. Terzi: School of Applied Economics and Social Sciences, Agricultural University of Athens
Athanasios Kriemadis: School of Economics and Technology, University of Peloponnese
A chapter in Computational and Strategic Business Modelling, 2024, pp 57-67 from Springer
Abstract:
Abstract Since March 2020, most countries around the globe have taken a variety of restrictive measures to prevent the spread of COVID-19. This has significantly affected the travel sector, including rail travel. The new digitalized era imposes the adoption of technology-led platforms to decode users’ online behaviors and achieve brand awareness. The purpose of this study is to track the online attitude and interaction of rail customers prior to and during the pandemic. The results clearly show that the railway ecosystem demands brand recovery. The research suggests that if the railway industry wants to stay competitive post-pandemic, it is imperative to allocate resources to tracing user engagement metrics. This will lead to the development of an effective brand position strategy, based on crowdsourcing marketing, as a risk mitigation tool for brand recovery and performance optimization.
Keywords: Railway; COVID-19; Big data; Risk management; Brand position strategy; Crisis; User engagement; Supply chain (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-41371-1_6
Ordering information: This item can be ordered from
http://www.springer.com/9783031413711
DOI: 10.1007/978-3-031-41371-1_6
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().