• DocumentCode
    2687245
  • Title

    Strategic improving actions based on the refined analysis of service and quality attributes

  • Author

    Yang, Ching-Chow

  • Author_Institution
    Ind. & Syst. Eng., Chung-Yuan Christian Univ., Chungli, Taiwan
  • fYear
    2009
  • fDate
    8-10 June 2009
  • Firstpage
    36
  • Lastpage
    41
  • Abstract
    In the competitive business environment, customers are increasingly seeking quality products, excellent service, low price, and perceived value for money. The present study proposes a strategic improving action model based on the combination of refined Kano´s model and customers´ satisfaction level. This integrated model can provide the guidance for service industries to offer customers enhanced value through lower prices while maintaining high quality. The model also provides decision guidance on prioritising improvements in various service items or attributes by taking into account the importance-satisfaction model and the frequency of use of service items,. The practical application of the proposed model is demonstrated empirically in a case study of a five-star hotel in Taiwan. The study concludes that strategic improving decisions based on the composition of service modules can simultaneously enhance service quality and increase the customer value for the service industries.
  • Keywords
    customer satisfaction; service industries; Kano model; competitive business environment; customer value; customers satisfaction level; importance-satisfaction model; service industries; service quality; strategic improving action model; Costs; Customer satisfaction; Focusing; Frequency; Pricing; Quality management; Refining; Six sigma; Systems engineering and theory; Total quality management; Refined Kano´s model; customer satisfaction; quality attribute; service quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2009. ICSSSM '09. 6th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3661-3
  • Electronic_ISBN
    978-1-4244-3662-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2009.5174851
  • Filename
    5174851