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Understanding consumers’ multichannel choices across the different stages of the buying process

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Abstract

This article provides a more integrative approach toward channel choice than previous research by considering all stages of the buying process (search, purchase, and after-sales), and by taking channel attributes, experience, and spillover effects into account when examining consumers’ channel choice intentions. The authors show that such an integrative perspective is important as channel attributes, experience, and spillover matter for consumers’ channel choices in all stages of the buying process. Notably, the study stresses the importance of channel experience and spillover effects for explaining consumers’ channel choice intentions in the different stages of the buying process. Channel experience effects occur when using the channel increases the likelihood that the consumer will use the very same channel on the next occasion. Spillover effects result when the likelihood of using a channel in one stage of the buying process affects the likelihood of choosing that channel in another stage. The results show that both effects influence consumers’ channel choice intentions over and above channel attributes. Importantly, the model results strongly pledge for studying attribute, experience, and spillover effects simultaneously.

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Notes

  1. We hired a professional market research agency to collect the data to ensure a representative sample. The agency randomly selected 500 consumers out of their panel and approached them to participate in our study. All approached consumers agreed to participate in our study.

  2. The results are available from the first author on request.

  3. One might argue that channel experience related to one product might influence channel utility for another product. We tested whether such cross-product experience effects exist and find no significant effects. Moreover, one might argue that experience with a channel for a certain buying stage might influence consumers’ channel choice intention for that channel in other buying stages. We therefore also examined whether such cross-stage experience effects affect consumers’ channel choice intentions. We find that only two out of six cross-stage experience effects are significant (search → purchase, purchase → search), and thus conclude that neither cross-product nor cross-stage channel experiences are critical for consumers’ channel choices.

  4. We estimated a single, comprehensive model using all observations and noting multiple observations from each subject. Moreover, we also have run several latent class MNL models to investigate whether consumers differ in their reaction to channel attributes, experience, and spillover effects. We find that the aggregate model results in the lowest BIC and thus conclude that consumers do not significantly differ in their reaction to channel attributes, experience, and spillover effects.

  5. A pre-test showed that perceived quality and risk are highly correlated in the after-sales stage. To avoid multicollinearity, we only consider perceived risk in the after-sales stage.

  6. One might argue that these results are driven by high correlations between the independent variables. We have calculated these correlations, which are all below 0.45 suggesting no strong multicollinearity.

  7. We thank an anonymous reviewer for suggesting this additional exploratory analysis.

References

  • Alba, J., & Hutchinson, W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411–454.

    Article  Google Scholar 

  • Balasubramanian, S., Raghunathan, R., & Mahajan, V. (2005). Consumers in a multichannel environment: product utility, process utility, and channel choice. Journal of Interactive Marketing, 19(2), 12–30.

    Article  Google Scholar 

  • Bellman, S., Lohse, G., & Johnson, E. J. (1999). Predictors of online buying behavior. Communications of the ACM, 42(12), 32–38.

    Article  Google Scholar 

  • Carlson, K., Janiszewski, C., Keeney, R., Krantz, D., Kunreuther, H., Luce, M. F., et al. (2008). A theoretical framework for goal-based choice and for prescriptive analysis. Marketing Letters, 19(3), 241–254.

    Article  Google Scholar 

  • Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: validating E-commerce metrics. Information Systems Research, 13(3), 316–333.

    Article  Google Scholar 

  • Dholakia, R. R., Zhao, M., & Dholakia, N. (2005). Multichannel retailing: a case study of early experiences. Journal of Interactive Marketing, 19(2), 63–74.

    Article  Google Scholar 

  • Frambach, R., Roest, H. C. A., & Krishnan, T. (2007). The impact of consumer internet experience on channel preference and usage intentions across the different stages of the buying process. Journal of Interactive Marketing, 21(2), 26–41.

    Article  Google Scholar 

  • Ganesh, J., Reynolds, K., Luckett, M., & Pomirleanu, N. (2010). Online shopper motivations, and E-store attributes: an examination of online patronage behavior and shopper typologies. Journal of Retailing, 86(1), 106–115.

    Article  Google Scholar 

  • Gupta, A., Bo-Chiuan, S., & Walter, Z. (2004). An empirical study of consumer switching from traditional to electronic channels: a purchase-decision perspective. International Journal of Electronic Commerce, 8(3), 131–161.

    Google Scholar 

  • Hamilton, R., & Chernev, A. (2010). The impact of product line extensions and consumer goals on the formation of price image. Journal of Marketing Research, 47(1), 51–62.

    Article  Google Scholar 

  • Huffman, C., & Houston, M. J. (1993). Goal-oriented experiences and the development of knowledge. Journal of Consumer Research, 20(2), 190–207.

    Article  Google Scholar 

  • Inman, J., Shankar, V., & Ferraro, R. (2004). The roles of channel–category associations and geodemographics in channel patronage. Journal of Marketing, 68(2), 51–71.

    Article  Google Scholar 

  • Johnson, E. J., Bellman, S., & Lohse, G. (2003). Cognitive lock-in and the power law of practice. Journal of Marketing, 67(4), 62–75.

    Article  Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47(2), 263–292.

    Article  Google Scholar 

  • Keeney, R. (1999). The value of internet commerce to the customer. Management Science, 45(4), 533–542.

    Article  Google Scholar 

  • Lee, L., & Ariely, D. (2006). Shopping goals, goal concreteness, and conditional promotions. Journal of Consumer Research, 33(1), 60–70.

    Article  Google Scholar 

  • Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and internet shopping environment. Journal of Retailing, 77(1), 39–56.

    Article  Google Scholar 

  • Meuter, M., Bitner, M. J., Ostrom, A., & Brown, S. (2005). Choosing among alternative service delivery modes: an investigation of consumer trial of self-service technologies. Journal of Marketing, 69(2), 61–83.

    Article  Google Scholar 

  • Neslin, S. A., Grewal, D., Leghorn, R., Shankar, V., Teerling, M. L., Thomas, J. S., et al. (2006). Challenges and opportunities in multichannel customer management. Journal of Service Research, 9(2), 95–112.

    Article  Google Scholar 

  • Rugimbana, R., & Iversen, P. (1994). Perceived attributes of ATMs and their marketing applications. International Journal of Bank Marketing, 12(2), 30–35.

    Article  Google Scholar 

  • Rust, R., Lemon, K., & Zeithaml, V. (2004). Return on marketing: using consumer equity to focus marketing strategy. Journal of Marketing, 68(1), 109–127.

    Article  Google Scholar 

  • Staw, B. (1981). The escalation of commitment to a course of action. Academy of Management Review, 6(4), 577–587.

    Google Scholar 

  • Strebel, J., Erdem, T., & Swait, J. (2004). Consumer search in high technology markets: exploring the use of traditional information channels. Journal of Consumer Psychology, 14(1/2), 96–104.

    Article  Google Scholar 

  • Sweeney, J., Soutar, G., & Johnson, L. (1999). The role of perceived risk in the quality–value relationship: a study in a retail environment. Journal of Retailing, 75(1), 77–105.

    Article  Google Scholar 

  • Thomas, J., & Sullivan, U. (2005). Managing marketing communications with multichannel consumers. Journal of Marketing, 69(4), 239–251.

    Article  Google Scholar 

  • Venkatesan, R., Kumar, V., & Ravishanker, N. (2007). Multi-channel shopping: causes and consequences. Journal of Marketing, 71(2), 114–132.

    Article  Google Scholar 

  • Verhoef, P. C., Neslin, S., & Vroomen, B. (2007). Multichannel consumer management: understanding the research-shopper phenomenon. International Journal of Research in Marketing, 24(2), 129–148.

    Article  Google Scholar 

  • Vermunt, J., & Magidson, J. (2005). Technical guide for latent GOLD choice 4.0: basic and advanced. Belmont: Statistical Innovations.

    Google Scholar 

  • Wood, W., & Neal, D. T. (2009). The habitual consumer. Journal of Consumer Psychology, 19(4), 579–592.

    Article  Google Scholar 

  • Wright, M., & MacRae, M. (2007). Bias and variability in purchase intention scales. Journal of the Academy of Marketing Science, 35(4), 617–624.

    Article  Google Scholar 

  • Xue, M., & Harker, P. (2002). Customer efficiency: concept and its impact on E-business management. Journal of Service Research, 4(4), 253–267.

    Article  Google Scholar 

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Correspondence to Sonja Gensler.

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Gensler, S., Verhoef, P.C. & Böhm, M. Understanding consumers’ multichannel choices across the different stages of the buying process. Mark Lett 23, 987–1003 (2012). https://doi.org/10.1007/s11002-012-9199-9

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