Earticle

초록

영어

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

목차

Abstract
 1. 서론
 2. 문헌 연구
  2.1 인터넷전화
  2.2 통신서비스의 데이터마이닝 적용
  2.3 인터넷전화의 CRM 적용
  2.4 예측용 데이터마이닝 기법
 3. 연구모델 개발과 결과 해석
  3.1 데이터 분석
  3.2 인터넷전화 사용의향 예측모델
  3.3 판별 분석 (Discriminant Analysis)
  3.4 로지스틱 회귀 분석 (Logistic regression)
  3.5 분류나무모델 (Classifiætion tree model)
  3.6 신경망 모델 (Neural Network)
 4. 예측모델의 비교 검증
  4.1 모델의 비교
  4.2 예측모델로 분석한 경영정보
 5. 결론
  5.1 연구의 요약 및 의의
  5.2 향후 연구 과제
 참고문헌

키워드

저자

• 하성호 [ Sung Ho Ha | 경북대학교 경영학부 교수 ]
• 양정원 [ Jeong Won Yang | 경북대학교 일반대학원 경영학부 박사과정 ]
• 송영미 [ Young Mi Song | 경북대학교 일반대학원 경영학부 박사과정 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005