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Volumn 16, Issue 1, 2012, Pages 49-54

Monitoring customer satisfaction in service industry: A cluster analysis approach

Author keywords

Cluster analysis; Customer satisfaction; Service quality

Indexed keywords


EID: 84869192347     PISSN: 13351745     EISSN: None     Source Type: Journal    
DOI: 10.12776/qip.v16i1.61     Document Type: Article
Times cited : (10)

References (5)
  • 5
    • 36949007156 scopus 로고    scopus 로고
    • Clustering techniques and their applications in engineering
    • Part C: J. Mechanical Engineering Science
    • Pham D. T., Afify A. A. (2007), "Clustering techniques and their applications in engineering" in Proc. IMechE Vol. 221 Part C: J. Mechanical Engineering Science, Vol. 221, no. 11, pp. 1445-1459.
    • (2007) Proc. IMechE , vol.221 , Issue.11 , pp. 1445-1459
    • Pham, D.T.1    Afify, A.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.