Earticle

초록

영어

The purpose of this research is to develop a comprehensive pricing decision-making support system that marketers in digital industry can use to set price level and quantity for digital products including mobile phone, TV, computer, mp3 player and monitor. The
OpenTide China’'s pricing Decision-making Support System (OTC’'s PDSS) consists of the price response function for each product, the promotion response function, the cost function, mixture modeling, Kane’'s regency modeling and Brian’'s competitive algorithm.
Then we have applied the OTC’'s PDSS to the digital industry and yielded the profit maximization price point, revenue maximization price point, and the predicted quantity level for each week for each product category.

목차

Abstract
 1 Introduction
 2 System Modeling
  2.1 Step 1: Price Response Function(PRF)
  2.2 Step 2: Dividing PRF into high-demand and low-demand seasons
  2.3 Step 3: Promotion Response Function
  2.4 Step 4: Cost Function
  2.5 Step 5: Kane’s Regency Model
  2.6 Step 6: Brian’s Competitive Algorithm
  2.7 Step 7: OTC’s PDSS
 3 Application to Digital Industry
  3.1 Data
  3.2 Developing price response function
 4 Findings and Future Study
  4.1 Modeling’s capability and predictability
  4.2 User interface of PDSS
 References

키워드

저자

• Yeisun Lee [ OpenTide China, Beijing ]
• Wonsang Youn [ OpenTide China, Beijing ]
• Jongwook Lim [ OpenTide China, Beijing ]
• Yongsik Nam [ OpenTide China, Beijing ]
• Youngsik Kwak [ Jinju National University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605