Analysis of social influence on in-store purchase behavior by using ecological system of ants
被引:2
作者:
Ishibashi, Ken
论文数: 0引用数: 0
h-index: 0
机构:
Kansai Univ, Res Inst Socionetwork Strategies, 3-3-35 Yamate Cho, Suita, Osaka 5648680, JapanKansai Univ, Res Inst Socionetwork Strategies, 3-3-35 Yamate Cho, Suita, Osaka 5648680, Japan
Ishibashi, Ken
[1
]
Yada, Katsutoshi
论文数: 0引用数: 0
h-index: 0
机构:
Kansai Univ, Fac Business & Commerce, 3-3-35 Yamate Cho, Suita, Osaka 5648680, JapanKansai Univ, Res Inst Socionetwork Strategies, 3-3-35 Yamate Cho, Suita, Osaka 5648680, Japan
Yada, Katsutoshi
[2
]
机构:
[1] Kansai Univ, Res Inst Socionetwork Strategies, 3-3-35 Yamate Cho, Suita, Osaka 5648680, Japan
[2] Kansai Univ, Fac Business & Commerce, 3-3-35 Yamate Cho, Suita, Osaka 5648680, Japan
来源:
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019)
|
2019年
/
159卷
关键词:
in-store purchase behavior;
shopping path data;
social influence;
ant colony;
PATH;
D O I:
10.1016/j.procs.2019.09.390
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The purpose of this study is to develop a new method for handling social influence in the analysis of shopping path data by using the ecological system of ants. Social influence which shoppers effect on each other is believed to contained in shopping path data collected in a retail store. The existing study measured social influence by using "density" which is the number of shoppers in a sales section at a certain point. However, the obtained result differed from the hypothesis of social influence in marketing area. One reason of this result is guessed that the density is calculated with considering temporal variation of social influence at the sales section. This study reviews the result of existing study by measuring social influence by using the concept of pheromone which has a close relationship with ants' social behaviors. In this paper, the availability of the proposed definition of social influence is examined by focusing on sales sections with large variance of criteria. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses)/by-nc-nd/4.0/) Peer-review under responsibility of KES International.