Integrating Smart Objects and Artificial Intelligence in Luxury Fashion Retail: The Role of Consumers’ Status Consumption Orientation

Andrea Sestino () and Cesare Amatulli ()
Additional contact information
Andrea Sestino: University of Rome Tre
Cesare Amatulli: University of Bari “Aldo Moro”

Chapter Chapter 3 in New Technologies in Luxury Consumption, 2023, pp 55-66 from Springer

Abstract: Abstract The fashion sector is one of the most important industries in luxury consumption. Despite, over the years, the fashion world has had a partially reluctant attitude toward the digital world, highlighting a significant delay in the use of digital tools compared to companies of other sectors, nowadays new technologies in luxury fashion retail have become a necessity. This chapter investigates consumers’ intention to buy luxury fashion items in a hyper-technological shopping environment. An experiment has been conducted among a sample of 126 international respondents. Results show that the store technological content (low vs. high) positively influences consumers’ willingness to buy. However, this effect is moderated by an important luxury consumer-related variable, that is consumers’ status consumption orientation.

Keywords: Luxury fashion; Internet of Things; Smart objects; Artificial Intelligence; Store technological level; Retailing; Status consumption orientation (search for similar items in EconPapers)
Date: 2023
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:sprchp:978-3-031-26082-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031260827

DOI: 10.1007/978-3-031-26082-7_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().