원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
vol.3 no.2
2010.06
pp.23-30
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Although the price elasticities for off-line industry are well documented in academic field, the report of price elasticities for on-line to a given brand or industry in practice have been relatively rare. The researcher aims to try to full this gap by applying a price response function to Home Trading System’ on-line transaction data for the first time in Korean securities market. The different price elasticities among seven brands were found from -0.819 to -1.811. These results suggested that marketers should understand the price elasticity of their own HTS, before making a price decision.
목차
Abstract
1. Introduction
2. Modeling
3. Methods
3.1 sample
3.2 data analysis
4. Findings and Future Study
4.1 Forms of Price Response Function for Brand
4.3 Future studies
References
1. Introduction
2. Modeling
3. Methods
3.1 sample
3.2 data analysis
4. Findings and Future Study
4.1 Forms of Price Response Function for Brand
4.3 Future studies
References
저자정보
참고문헌
자료제공 : 네이버학술정보