IDEAS home Printed from https://ideas.repec.org/a/ids/ijbfmi/v3y2017i1p13-37.html
   My bibliography  Save this article

Consumer preference for electronic consumer durable goods in India: a conjoint analysis approach

Author

Listed:
  • Kushagra Kulshreshtha
  • Naval Bajpai
  • Vikas Tripathi

Abstract

The second highest population of consumers with different wants and preferences, India is a place where MNCs have ample opportunities to cater variety of products. The purpose of this paper is to examine the Indian consumers' decision making regarding consumer durable goods i.e., split air-conditioner on the basis of several factors like brand equity, price, advertisement type, celebrity, country-of-origin under multi cue situation. In this study, firstly the evaluation is made about the impact of perceived difference among brand equity, price, advertisement, celebrity endorsement and country of origin on product preference. Secondly the relative importance of these attributes is being determined using part-worth analysis. Five relevant research questions were framed and tested. An orthogonal design was used to develop different product profiles which respondents could evaluate.

Suggested Citation

  • Kushagra Kulshreshtha & Naval Bajpai & Vikas Tripathi, 2017. "Consumer preference for electronic consumer durable goods in India: a conjoint analysis approach," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 3(1), pages 13-37.
  • Handle: RePEc:ids:ijbfmi:v:3:y:2017:i:1:p:13-37
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=82542
    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. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Lance Albert S. De Leon & Irene Dyah Ayuwati & Reny Nadlifatin & Satria Fadil Persada, 2022. "Plantitas/Plantitos Preference Analysis on Succulents Attributes and Its Market Segmentation: Integrating Conjoint Analysis and K-means Clustering for Gardening Marketing Strategy," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    2. Ma, Wanglin & Zhou, Xiaoshi & Renwick, Alan, 2019. "Impact of off-farm income on household energy expenditures in China: Implications for rural energy transition," Energy Policy, Elsevier, vol. 127(C), pages 248-258.
    3. Dubey, Prince & Bajpai, Naval & Guha, Sanjay & Kulshreshtha, Kushagra, 2020. "Mapping gender and marital roles on customer delight by value perception for mobile technology in India," Technology in Society, Elsevier, vol. 62(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:ijbfmi:v:3:y:2017:i:1:p:13-37. 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=156 .

    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.