TY - GEN
T1 - Factor Analysis of Purchasing a Third-Category Beer
AU - Seto, Kazuki
AU - Asahi, Yumi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - There is a beer known as the third beer in Japan. This beer has been sold at a lower price than others due to the difference in tax rates. Taking this advantage, its sales volume continued to grow until 2020. However, the price advantage will gradually disappear, due to the increase in tax rates until 2026. It is said that third beer sales volume is going to decline. So, it is important to find purchasing factors other than price in third beers and translate them into products. This paper analyzes the customer demographics of “Honkirin,” a representative third beer product, to derive factors for purchasing a third beer. Based on these findings, we will also propose ideas and promotions for new third beer products. First, we extracted questionnaire items that were relevant to purchase intention for “Honkirin” by using a t variable selection method called Boruta. Then, latent class analysis was conducted, assigning samples to six classes based on the samples’ answer patterns to the selected items. After that, a chi-square test was applied for each class to identify the class which significantly contained samples with purchase intention toward “Honkirin”. After testing, we examined the overall response patterns of each class and their web usage to derive the needs and behavioral features of Honkirin’s potential customers. Finally, based on the findings from the analyses, we summarized product ideas and promotion methods for third beer that would survive after the loss of price advantage.
AB - There is a beer known as the third beer in Japan. This beer has been sold at a lower price than others due to the difference in tax rates. Taking this advantage, its sales volume continued to grow until 2020. However, the price advantage will gradually disappear, due to the increase in tax rates until 2026. It is said that third beer sales volume is going to decline. So, it is important to find purchasing factors other than price in third beers and translate them into products. This paper analyzes the customer demographics of “Honkirin,” a representative third beer product, to derive factors for purchasing a third beer. Based on these findings, we will also propose ideas and promotions for new third beer products. First, we extracted questionnaire items that were relevant to purchase intention for “Honkirin” by using a t variable selection method called Boruta. Then, latent class analysis was conducted, assigning samples to six classes based on the samples’ answer patterns to the selected items. After that, a chi-square test was applied for each class to identify the class which significantly contained samples with purchase intention toward “Honkirin”. After testing, we examined the overall response patterns of each class and their web usage to derive the needs and behavioral features of Honkirin’s potential customers. Finally, based on the findings from the analyses, we summarized product ideas and promotion methods for third beer that would survive after the loss of price advantage.
KW - Boruta
KW - Chi-squared test
KW - Latent class
KW - Purchasing factors other than price in third beer
KW - Third beer
UR - https://www.scopus.com/pages/publications/85196859448
U2 - 10.1007/978-3-031-60125-5_15
DO - 10.1007/978-3-031-60125-5_15
M3 - Conference contribution
AN - SCOPUS:85196859448
SN - 9783031601248
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 217
EP - 229
BT - Human Interface and the Management of Information - Thematic Area, HIMI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Mori, Hirohiko
A2 - Asahi, Yumi
PB - Springer Science and Business Media Deutschland GmbH
T2 - Thematic Area Human Interface and the Management of Information, HIMI 2024, Held as Part of the 26th HCI International Conference, HCII 2024
Y2 - 29 June 2024 through 4 July 2024
ER -