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Influence of Price Level and Perceived Price Dispersion on Consumer Information Search Behaviour: Moderating Effect of Durables and Consumables

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  • Weiqing Li

    (School of Information Management, Central China Normal University, Wuhan 430079, China)

  • Qianyi Dan

    (School of Computer, Central China Normal University, Wuhan 430079, China)

  • Maomao Chi

    (School of Information Management, Central China Normal University, Wuhan 430079, China)

  • Weijun Wang

    (Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China)

Abstract

The methods consumers use to reduce their perceived risk and make reasonable purchase decisions can be synthesized under the umbrella term “consumer information search behavior” (CISB). As one key factor that conveys a product’s value and quality, price has a significant impact on CISB. There are few studies that comprehensively consider the impact of price level (PL) and perceived price dispersion (PPD) on CISB, and there is a certain disagreement about the impact of PPD specific to the online shopping environment. To address this research gap, we construct a model using the data from 5515 consumers’ purchasing and browsing behavior on a B2C e-commerce website, selecting six products as our research objects. We use a hierarchical regression analysis method to study the influence of product PL and PPD on CISB, and to explore the moderating effect of product categories (durables and consumables) on the relationship between PL, PPD and CISB. The results show that PL significantly affects CISB, and that product categories have a significant moderating effect on the relationship between PL and CISB. For durable goods, when the PL is high, consumers tend to increase their search behavior, both in depth and in breadth, and for consumables with low PL but higher purchase frequency, consumers likewise tend to increase their search behavior. In the B2C online shopping environment, PPD has a significant positive effect on CISB, and product category has a moderating effect on the relationship between PPD and CISB. When consumers purchase consumables, the higher the PPD, the higher the depth of CISB. The findings have several implications for marketing practitioners and enterprises advertising, also can help customers save time and energy in their search behaviors.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2105-:d:500212
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    References listed on IDEAS

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    1. Karimi, Sahar & Holland, Christopher P. & Papamichail, K. Nadia, 2018. "The impact of consumer archetypes on online purchase decision-making processes and outcomes: A behavioural process perspective," Journal of Business Research, Elsevier, vol. 91(C), pages 71-82.
    2. 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.
    3. Luigi Paciello & Andrea Pozzi & Nicholas Trachter, 2019. "Price Dynamics With Customer Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(1), pages 413-446, February.
    4. Asher Wolinsky, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 493-511.
    5. Bayer, Ralph-C. & Ke, Changxia, 2013. "Discounts and consumer search behavior: The role of framing," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 215-224.
    6. Bloch, Peter H & Sherrell, Daniel L & Ridgway, Nancy M, 1986. "Consumer Search: An Extended Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 119-126, June.
    7. Cabral, Luís & Gilbukh, Sonia, 2020. "Rational buyers search when prices increase," Journal of Economic Theory, Elsevier, vol. 187(C).
    8. Graciola, Ana Paula & De Toni, Deonir & de Lima, Vinicius Zanchet & Milan, Gabriel Sperandio, 2018. "Does price sensitivity and price level influence store price image and repurchase intention in retail markets?," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 201-213.
    9. Dutta, Champa Bati & Das, Debasish Kumar, 2017. "What drives consumers' online information search behavior? Evidence from England," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 36-45.
    10. Michael R. Baye & John Morgan, 2001. "Information Gatekeepers on the Internet and the Competitiveness of Homogeneous Product Markets," American Economic Review, American Economic Association, vol. 91(3), pages 454-474, June.
    11. Heesup Han & Amr Al-Ansi & Xiaoting Chi & Hyungshin Baek & Kyung-Sik Lee, 2020. "Impact of Environmental CSR, Service Quality, Emotional Attachment, and Price Perception on Word-of-Mouth for Full-Service Airlines," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    12. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-969, July.
    13. Malik Orou Seko & Andrée Prisca Ndjoug Ndour & Walter Ossebi & Jasmina Saric & Katharina Kreppel & Daouda Dao & Bassirou Bonfoh, 2020. "Consumer Perception on Purchase Decision Factors and Health Indicators Related to the Quality and Safety of Meat Sold in Dibiteries in Dakar, Senegal," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    14. 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.
    15. Fernando Branco & Monic Sun & J. Miguel Villas-Boas, 2012. "Optimal Search for Product Information," Management Science, INFORMS, vol. 58(11), pages 2037-2056, November.
    16. Wu, Kewen & Vassileva, Julita & Noorian, Zeinab & Zhao, Yuxiang, 2015. "How do you feel when you see a list of prices? the interplay among price dispersion, perceived risk and initial trust in Chinese C2C market," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 36-46.
    17. 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.
    18. Holger Müller & Eike Kroll & Bodo Vogt, 2012. "Do real payments really matter? A re-examination of the compromise effect in hypothetical and binding choice settings," Marketing Letters, Springer, vol. 23(1), pages 73-92, March.
    19. Noel, Michael D. & Qiang, Hongjie, 2019. "The role of information in retail gasoline price dispersion," Energy Economics, Elsevier, vol. 80(C), pages 173-187.
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