• DocumentCode
    2687882
  • Title

    What is the valuable service quality gap for improving customer satisfaction?

  • Author

    Lin, Shu-Ping ; Chen, Lu-Fang ; Chan, Ya-Hui

  • Author_Institution
    Dept. of Technol. Manage., Chung Hua Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    8-10 June 2009
  • Firstpage
    242
  • Lastpage
    247
  • Abstract
    Gap analysis (GA) is one of the most popular techniques which has been widely used to help businesses make service quality improvement decisions to improve customer satisfaction. However, an assumption of linear relationship between attribute performance and customer satisfaction underlies the application of GA and was challenged while comparing with the Kano´s two-dimensional model which indicated the possible phenomenon of non-linear relationship between attribute performance and customer satisfaction. Therefore, the main purpose of this research is to revise GA by redefining service quality gap and building its evaluating function through Kano´s two-dimensional conception with the application of BPNN technique. To confirm the applied validity of this new GA technique, the original GA was performed to compare with the new one by an empirical study on Taiwanese HR service agency. Results showed that the impact of each service quality gap on improving customer satisfaction can be clarified by new GA technique. This implicates that new GA technique can be considered as a valuable decision-making tool for enhancing customer satisfaction more effectively.
  • Keywords
    backpropagation; customer satisfaction; decision making; neural nets; Kano two-dimensional conception; Taiwanese HR service agency; attribute performance; customer satisfaction; decision-making tool; gap analysis; nonlinear relationship; service quality improvement decisions; two-dimensional model; valuable service quality gap; Continuous improvement; Customer satisfaction; Decision making; Human resource management; Neural networks; Quality management; Technology management; Back Propagation Neural Network; HR service agency; Kano model; gap analysis; 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.2009.5174891
  • Filename
    5174891