EconPapers    
Economics at your fingertips  
 

Artificial Intelligence in Communication with Music Fans: An Example from South Korea

Marija Polak, Matilda Kolić Stanić and Marijana Togonal

A chapter in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022, 2022, pp 48-63 from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb

Abstract: According to Kotler, Kartajaya, and Setiawan, there are five components of marketing 5.0: it is data-driven, predictive, contextual, augmented, and agile. This paper uses the case study method to investigate the presence of the 5.0 marketing components in promotional strategies employed by the South Korean popular music industry. The paper explores promotional strategies used by the BTS music group in particular. The group uses the 5.0 marketing method in its promotional strategies, especially in communication with the fans, and such communication thus enters the field of public relations. The case study analysis also indicates the use of data-driven marketing and predictive analytics, which are achieved using artificial intelligence. Additionally, elements of contextual marketing were used to improve the consumer experience, and augmented marketing was utilized to facilitate business, especially for front office staff. Finally, the analysis of BTS's promotional strategies shows a focus on innovation and flexibility, which are elements of agile marketing.

Keywords: marketing 5.0; strategies; communication; artificial intelligence; culture; music (search for similar items in EconPapers)
JEL-codes: D8 M3 O3 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/268314/1/06-ENT-2022.pdf (application/pdf)

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:zbw:entr22:268314

DOI: 10.54820/entrenova-2022-0006

Access Statistics for this chapter

More chapters in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2022), Hybrid Conference, Opatija, Croatia from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().

 
Page updated 2025-03-20
Handle: RePEc:zbw:entr22:268314