IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v37y2017icp33-42.html
   My bibliography  Save this article

Individual differences in consumer information search for services: A multiple mediation study

Author

Listed:
  • Utkarsh,

Abstract

The study examines the role of individual differences in the information search behaviour of consumers for experience services. Structural equation modelling was used to analyse the quantitative data obtained from the 268 consumers selected for a cross-sectional survey in a major northern city of India. Results revealed that consumers’ optimum stimulation levels are positively related to their self-confidence and motivation to search and subsequently have a significant indirect effect on their information search efforts. Consumer self-confidence and motivation to search mediate the relationship between the optimum stimulation level and search effort. The study offers insights into the role of consumers’ individual differences in information search. Consumers engaged in variety-seeking behaviour are more confident in their decision making and search for abundant information before buying a service. Thus, marketers should attempt to provide extensive and varying information to such consumers.

Suggested Citation

  • Utkarsh,, 2017. "Individual differences in consumer information search for services: A multiple mediation study," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 33-42.
  • Handle: RePEc:eee:joreco:v:37:y:2017:i:c:p:33-42
    DOI: 10.1016/j.jretconser.2017.02.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698916302909
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2017.02.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Maheswaran, Durairaj & Sternthal, Brian, 1990. "The Effects of Knowledge, Motivation, and Type of Message on Ad Processing and Product Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 66-73, June.
    2. Bearden, William O & Hardesty, David M & Rose, Randall L, 2001. "Consumer Self-Confidence: Refinements in Conceptualization and Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 121-134, June.
    3. Punj, Girish N & Staelin, Richard, 1983. "A Model of Consumer Information Search Behavior for New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 366-380, March.
    4. Tian, Kelly Tepper & Bearden, William O & Hunter, Gary L, 2001. "Consumer's Need for Uniqueness: Scale Development and Validation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 50-66, June.
    5. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1992. "The Role of Optimum Stimulation Level in Exploratory Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 434-448, December.
    6. Srinivasan, Narasimhan & Ratchford, Brian T, 1991. "An Empirical Test of a Model of External Search for Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 233-242, September.
    7. Darby, Michael R & Karni, Edi, 1973. "Free Competition and the Optimal Amount of Fraud," Journal of Law and Economics, University of Chicago Press, vol. 16(1), pages 67-88, April.
    8. Maity, Moutusy & Dass, Mayukh & Malhotra, Naresh K., 2014. "The Antecedents and Moderators of Offline Information Search: A Meta-Analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 233-254.
    9. Moorman, Christine, 1990. "The Effects of Stimulus and Consumer Characteristics on the Utilization of Nutrition Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(3), pages 362-374, December.
    10. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    11. Sharma, Piyush & Sivakumaran, Bharadhwaj & Marshall, Roger, 2010. "Impulse buying and variety seeking: A trait-correlates perspective," Journal of Business Research, Elsevier, vol. 63(3), pages 276-283, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Weiqing Li & Qianyi Dan & Maomao Chi & Weijun Wang, 2021. "Influence of Price Level and Perceived Price Dispersion on Consumer Information Search Behaviour: Moderating Effect of Durables and Consumables," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    2. Avornyo, Philip & Fang, Jiaming & Antwi, Collins Opoku & Aboagye, Michael Osei & Boadi, Evans Asante, 2019. "Are customers still with us? The influence of optimum stimulation level and IT-specific traits on mobile banking discontinuous usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 348-360.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Krishna Akalamkam & Joy Kumar Mitra, 2018. "Consumer Pre-purchase Search in Online Shopping: Role of Offline and Online Information Sources," Business Perspectives and Research, , vol. 6(1), pages 42-60, January.
    2. Bartschat, Maria & Cziehso, Gerrit & Hennig-Thurau, Thorsten, 2022. "Searching for word of mouth in the digital age: Determinants of consumers’ uses of face-to-face information, internet opinion sites, and social media," Journal of Business Research, Elsevier, vol. 141(C), pages 393-409.
    3. Maity, Moutusy & Dass, Mayukh & Malhotra, Naresh K., 2014. "The Antecedents and Moderators of Offline Information Search: A Meta-Analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 233-254.
    4. DeSarbo, Wayne S. & Choi, Jungwhan, 1998. "A latent structure double hurdle regression model for exploring heterogeneity in consumer search patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 423-455, November.
    5. Yale, Laura J. & Gilly, Mary C., 1995. "Dyadic perceptions in personal source information search," Journal of Business Research, Elsevier, vol. 32(3), pages 225-237, March.
    6. Gaia Rubera & Andrea Ordanini & David Mazursky, 2010. "Toward a contingency view of new product creativity: Assessing the interactive effects of consumers," Marketing Letters, Springer, vol. 21(2), pages 191-206, June.
    7. Wirawan Dony Dahana & HeeJae Shin & Sotaro Katsumata, 2018. "Influence of individual characteristics on whether and how much consumers engage in showrooming behavior," Electronic Commerce Research, Springer, vol. 18(4), pages 665-692, December.
    8. van Rijnsoever, Frank J. & Castaldi, Carolina & Dijst, Martin J., 2012. "In what sequence are information sources consulted by involved consumers? The case of automobile pre-purchase search," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 343-352.
    9. Smith, Gerald E. & Venkatraman, Meera P. & Dholakia, Ruby Roy, 1999. "Diagnosing the search cost effect: Waiting time and the moderating impact of prior category knowledge," Journal of Economic Psychology, Elsevier, vol. 20(3), pages 285-314, June.
    10. Kim, Ho & Bruce, Norris I., 2018. "Should sequels differ from original movies in pre-launch advertising schedule? Lessons from consumers' online search activity," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 116-143.
    11. Keaveney, Susan M. & Huber, Frank & Herrmann, Andreas, 2007. "A model of buyer regret: Selected prepurchase and postpurchase antecedents with consequences for the brand and the channel," Journal of Business Research, Elsevier, vol. 60(12), pages 1207-1215, December.
    12. Sharlene He & Derek D. Rucker, 2023. "How uncertainty affects information search among consumers: a curvilinear perspective," Marketing Letters, Springer, vol. 34(3), pages 415-428, September.
    13. Frank J. van Rijnsoever & Martin J. Dijst & Carolina Castaldi, 2009. "Involvement and use of multiple search channels in the automobile purchase process," Innovation Studies Utrecht (ISU) working paper series 09-06, Utrecht University, Department of Innovation Studies, revised Apr 2009.
    14. Brinder S. Saigal & Bikram Jit Singh Mann & Rashmi Mann, 2010. "Comparative Analysis of Sources and Drivers of Information Search Behaviour of the UK and India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 35(2), pages 169-188, May.
    15. (Kay) Byun, Kyung-ah & Ma, Minghui & Kim, Kevin & Kang, Taeghyun, 2021. "Buying a New Product with Inconsistent Product Reviews from Multiple Sources: The Role of Information Diagnosticity and Advertising," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 81-103.
    16. Vandana Ramachandran & Siva Viswanathan & Sanjay Gosain, 2007. "The Impact of Online Information on the Purchase of Certified Used Cars," Working Papers 07-37, NET Institute.
    17. Gupta, Pranjal & Yadav, Manjit S. & Varadarajan, Rajan, 2009. "How Task-Facilitative Interactive Tools Foster Buyers’ Trust in Online Retailers: A Process View of Trust Development in the Electronic Marketplace," Journal of Retailing, Elsevier, vol. 85(2), pages 159-176.
    18. Klein, Lisa R., 1998. "Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods," Journal of Business Research, Elsevier, vol. 41(3), pages 195-203, March.
    19. Fiona Scott Morton & Jorge Silva-Risso & Florian Zettelmeyer, 2011. "What matters in a price negotiation: Evidence from the U.S. auto retailing industry," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 365-402, December.
    20. Gaurav Khatwani & Gopal Das, 2016. "Evaluating combination of individual pre-purchase internet information channels using hybrid fuzzy MCDM technique: demographics as moderators," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 28-49.

    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:eee:joreco:v:37:y:2017:i:c:p:33-42. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.