567
Views
4
CrossRef citations to date
0
Altmetric
Articles

The Role of Industry 4.0 Tools on Museum Attributes Identification: An Exploratory Study of Thyssen-Bornemisza National Museum (Madrid, Spain)

ORCID Icon, ORCID Icon & ORCID Icon
Pages 147-165 | Published online: 19 Jan 2021
 

ABSTRACT

The objective of this paper is to examine how Industry 4.0 tools help to understand museum performance and to facilitate the development of co-creation strategies. A case study explores the museum customer experience through attribute identification and attribute value as perceived by the customer. Tourist opinion and perception form a crucial factor that can be explored through electronic word-of-mouth (eWOM). Content analysis can be used to detect attributes as perceived by tourists, with a view to improving the tourist experience. The detected attributes are evaluated in a roundtable discussion with experts and key stakeholders. The exploratory approach reported here examines the introduction of Industry 4.0 tools like eWOM to study museum visitor perception and perceived value. The results are key for designing co-creation strategies and providing precious information for implementing innovative processes such as co-creation to improve the decision-making process for museum management.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 222.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.