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Unifying model of conjoint analysis and MCDM [전자자료] : focused on music streaming services

Unifying model of conjoint analysis and MCDM [전자자료] : focused on music streaming services

자료유형
E-Book(학위논문)
개인저자
Xu, Zili
서명 / 저자사항
Unifying model of conjoint analysis and MCDM [전자자료] : focused on music streaming services / Zili Xu
발행사항
Seoul :   Graduate School, Korea University,   2023  
형태사항
전자책 1책(35 p.) : 천연색삽화
학과코드
0510   6B2   2336  
일반주기
지도교수: 임호순  
본표제는 표제면 이미지의 표제임  
서지주기
참고문헌 수록
비통제주제어
Music streaming, MCDM, conjoint analysis,,
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085 0 ▼a 0510 ▼2 KDCP
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100 1 ▼a Xu, Zili
245 1 0 ▼a Unifying model of conjoint analysis and MCDM ▼h [전자자료] : ▼b focused on music streaming services / ▼d Zili Xu
260 ▼a Seoul : ▼b Graduate School, Korea University, ▼c 2023
300 ▼a 전자책 1책(35 p.) : ▼b 천연색삽화
500 ▼a 지도교수: 임호순
500 ▼a 본표제는 표제면 이미지의 표제임
502 0 ▼a 학위논문(석사)-- ▼b 고려대학교 대학원, ▼c 경영학과, ▼d 2023. 2
504 ▼a 참고문헌 수록
653 ▼a Music streaming ▼a MCDM ▼a conjoint analysis
900 1 0 ▼a 임호순, ▼g 任浩淳, ▼d 1963-, ▼e 지도교수 ▼0 AUTH(211009)38996
900 1 0 ▼a Rhim, Hosun, ▼e 지도교수
945 ▼a ITMT
991 ▼a E-Book(학위논문) ▼w (DCOLL211009)000000270935

전자정보

No. 원문명 서비스
1
Unifying model of conjoint analysis and MCDM [전자자료] : focused on music streaming services (10회 열람)
PDF 초록 목차

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CT 0510 6B2 2336 등록번호 E13000119 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

초록

In this study, we present a model unifying conjoint analysis and MCDM. Attributes of conjoint analysis are configured using the text mining method. We analyzed the web texts through the natural language processing algorithm to extract attributes of conjoint models from online user comments. Profiles of the conjoint analysis model are compared to obtain multiple objective for decision making. Subjective weights are assigned through a survey method to form a unified model. We generate the market share through market simulation in conjoint analysis, and further improve the best alternative by fine-tuning the criteria to arrive at the final decision.

목차

Abstract   1
1. Introduction   3
2. Literature review   5
 2.1 Text mining   5
 2.2 Conjoint analysis  6
 2.3 MCDM  7
3. The model  8
4. Example setting  14
5. Discussion  31
References  33

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