• DocumentCode
    3037044
  • Title

    Marketing Intelligence on Customer Experiential Values: An Structural Equation Model Approach

  • Author

    Zhou, Fang ; Lai, Kin Keung

  • Author_Institution
    Coll. of Bus. Adm., Hunan Univ., Changsha, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    634
  • Lastpage
    638
  • Abstract
    This paper is aimed at studying the marketing intelligence that affect customerpsilas experiential value in the restaurant chain industry. A structural equation model is proposed, incorporating customer characteristics, productspsila features, service quality, environmental ambience, traffic profile, and reputation as antecedents and components of consumer experience, to measure experiential value. Results of analysis of empirical data of a domestic restaurant chain show that product quality, service level, and dining environment are the main factors that impact experiential value. Customerspsila utilitarian orientation and convenient transportation options also affect consumer experience and have a direct positive effect on experiential value. Based on these conclusions, recommendations about enterprise marketing practices are provided, and further research directions are pointed out.
  • Keywords
    catering industry; marketing; customer characteristics; customer experiential values; customers utilitarian orientation; enterprise marketing practices; environmental ambience; marketing intelligence; products features; restaurant chain industry; service quality; structural equation model; traffic profile; Atmosphere; Cognition; Data analysis; Educational institutions; Equations; Intelligent structures; Investments; Psychology; Traffic control; Transportation; Marketing Intelligence; Structural Equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.149
  • Filename
    5208804