IDEAS home Printed from https://ideas.repec.org/a/ids/injsem/v12y2021i2p164-184.html
   My bibliography  Save this article

Examining the relationship among servicescape, perceived overall image and customer behavioural intentions in beauty salons: the moderating role of pleasure-arousal-dominance emotional state model

Author

Listed:
  • Nidhi Kampani
  • Deepika Jhamb

Abstract

Previous research has signified that environmental stimuli can affect the behaviour of consumers substantively, communicatively, and socially. Studies conducted to date have not focused on their effect collectively. The present study focuses on providing a unique contribution by examining the overall impact of servicescape on perceived overall image in which emotional states of affect: pleasure, arousal, and dominance act as moderators affecting the behavioural intentions of customers. Being distinctive in the segment of beauty salons, the study tests the hypothesised relationship of the model proposed through confirmatory factor analysis and partial least squares-structural equation modelling tools for statistical inferences. The outcome of the study emerged as explaining the impact of servicescape on customers play a key role in affecting perceived overall image shaping behavioural intentions moderated by their emotional states of affect. The moderating role of pleasure feeling has a significantly high moderating effect than arousal or dominance.

Suggested Citation

  • Nidhi Kampani & Deepika Jhamb, 2021. "Examining the relationship among servicescape, perceived overall image and customer behavioural intentions in beauty salons: the moderating role of pleasure-arousal-dominance emotional state model," International Journal of Services, Economics and Management, Inderscience Enterprises Ltd, vol. 12(2), pages 164-184.
  • Handle: RePEc:ids:injsem:v:12:y:2021:i:2:p:164-184
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=117236
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhengyan Guo & Yao Yao & Yuan-Cheng Chang, 2022. "Research on Customer Behavioral Intention of Hot Spring Resorts Based on SOR Model: The Multiple Mediation Effects of Service Climate and Employee Engagement," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    2. Manohar, Sridhar & Paul, Justin & Strong, Carolyn & Mittal, Amit, 2023. "INNOSERV: Generalized scale for perceived service innovation," Journal of Business Research, Elsevier, vol. 160(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:injsem:v:12:y:2021:i:2:p:164-184. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=236 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.