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Volumn 20, Issue 3, 1998, Pages 287-301

Predicting participation intentions for optional energy services

Author keywords

Conjoint analysis; Preference analysis; Qualitative choice model; Validation

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE; ELECTRIC POWER DISTRIBUTION; ELECTRIC UTILITIES; MATHEMATICAL MODELS;

EID: 0032164561     PISSN: 09287655     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0928-7655(97)00029-8     Document Type: Article
Times cited : (5)

References (11)
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  • 2
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    • Commercial use of conjoint analysis: A survey
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  • 3
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  • 4
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    • Conjoint analysis in consumer research: Issues and outlook
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    • Green, P.E.1    Srinivasan, V.2
  • 5
    • 0002388032 scopus 로고
    • Conjoint analysis in marketing: New developments with implications for research and practice
    • Green, P.E., Srinivasan, V., 1990. Conjoint analysis in marketing: new developments with implications for research and practice. J. Marketing 54, 3-19.
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    • Green, P.E.1    Srinivasan, V.2
  • 6
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    • Adaptive conjoint analysis: Some caveats and suggestions
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  • 7
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    • A cross validation test of four models for quantifying multi-attribute preference
    • Green, P.E., Krieger, A.M., Agarwal, M.K., 1993. A cross validation test of four models for quantifying multi-attribute preference. Marketing Lett. 4, 369-380.
    • (1993) Marketing Lett. , vol.4 , pp. 369-380
    • Green, P.E.1    Krieger, A.M.2    Agarwal, M.K.3
  • 9
    • 0000451561 scopus 로고
    • Improving the predictive power of conjoint analysis: The use of factor analysis and cluster analysis
    • Hagerty, M.R., 1985. Improving the predictive power of conjoint analysis: the use of factor analysis and cluster analysis. J. Marketing Res. 22, 168-184.
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.