Variety of shopping modes: theoretical framework, pivotal factors, and managerial implications

    Ignacio Redondo Affiliation
    ; Jean-Philippe Charron Affiliation


With the development of e-commerce and smartphones, consumers can use a variety of shopping modes (i.e., showrooming, webrooming, and completely offline/online shopping), each of which provides specific advantages in terms of price, assortment, service, etc. Using a great variety of these shopping modes can confer many benefits. However, previous studies have found evidence of sizable segments of consumers who typically avoid using a great variety of shopping modes. To understand the contrast in consumers’ variety of shopping modes, we propose a theoretical framework and measure the effect of the desired variety in the information-seeking and purchase processes. Results – from a representative sample of the Spanish consumers – confirm that the variety of shopping modes pivots on the extent to which e-commerce use, smartphone use, offline and online interactivity, and online device interchangeability differ. Better understanding the variety of shopping modes may help marketers adjust their channel strategies to the actual preferences of different consumer segments and assess the economic viability of an omnichannel approach.

Keyword : shopping behaviour, consumer segmentation, e-commerce, showrooming, webrooming, channel management

How to Cite
Redondo, I., & Charron, J.-P. (2023). Variety of shopping modes: theoretical framework, pivotal factors, and managerial implications. Journal of Business Economics and Management, 24(5), 857–876.
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Dec 22, 2023
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Adomavicius, G., Bockstedt, J., & Curley, S. P. (2015). Bundling effects on variety seeking for digital information goods. Journal of Management Information Systems, 31(4), 182–212.

Ailawadi, K. L., & Farris, P. W. (2017). Managing multi- and omni-channel distribution: Metrics and research directions. Journal of Retailing, 93(1), 120–135.

Avornyo, P., Fang, J., Antwi, C. O., Aboagye, M. O., & Boadi, E. A. (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, 47, 348–360.

Bawa, K. (1990). Modeling inertia and variety seeking tendencies in brand choice behavior. Marketing Science, 9(3), 263–278.

Berry, C., Kees, J., & Burton, S. (2022). Drivers of data quality in advertising research: Differences across MTurk and professional panel samples. Journal of Advertising, 51(4), 515–529.

Blake, B. F., Neuendorf, K. A., & Valdiserri, C. M. (2003). Innovativeness and variety of Internet shopping. Internet Research, 13(3), 156–169.

Burns, D. J. (2006). Consumers’ decision-making style: Relationships with attitude toward consumer free-riding activity. Marketing Management Journal, 16(1), 148–157.

Chiu, H.-C., Hsieh, Y.-C., Roan, J., Tseng, K.-J., & Hsieh, J.-K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268–277.

Colla, E., & Lapoule, P. (2012). E‐commerce: Exploring the critical success factors. International Journal of Retail & Distribution Management, 40(11), 842–864.

Cui, T. H., Ghose, A., Halaburda, H., Iyengar, R., Pauwels, K., Sriram, S., Tucker, C., & Venkataraman, S. (2021). Informational challenges in omnichannel marketing: Remedies and future research. Journal of Marketing, 85(1), 103–120.

De Keyser, A., Schepers, J., & Konuş, U. (2015). Multichannel customer segmentation: Does the after-sales channel matter? A replication and extension. International Journal of Research in Marketing, 32(4), 453–456.

Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1), Article JCMC611.

Flavián, C., Gurrea, R., & Orús, C. (2016). Choice confidence in the webrooming purchase process: The impact of online positive reviews and the motivation to touch. Journal of Consumer Behaviour, 15(5), 459–476.

Frasquet, M., Ieva, M., & Ziliani, C. (2021). Online channel adoption in supermarket retailing. Journal of Retailing and Consumer Services, 59, Article 102374.

Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.

Gensler, S., Neslin, S. A., & Verhoef, P. C. (2017). The showrooming phenomenon: It’s more than just about price. Journal of Interactive Marketing, 38, 29–43.

Gullo, K., Berger, J., Etkin, J., & Bollinger, B. (2019). Does time of day affect variety-seeking? Journal of Consumer Research, 46(1), 20–35.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Pearson Education.

Hajdas, M., Radomska, J., & Silva, S. C. (2022). The omni-channel approach: A utopia for companies? Journal of Retailing and Consumer Services, 65, Article 102131.

Hansberger, J. T., Schunn, C. D., & Holt, R. W. (2006). Strategy variability: How too much of a good thing can hurt performance. Memory & Cognition, 34(8), 1652–1666.

Hansson, L., Holmberg, U., & Post, A. (2022). Reorganising grocery shopping practices – the case of elderly consumers. International Review of Retail, Distribution and Consumer Research, 32(4), 351–369.

Herhausen, D., Kleinlercher, K., Verhoef, P. C., Emrich, O., & Rudolph, T. (2019). Loyalty Formation for Different Customer Journey Segments. Journal of Retailing, 95(3), 9–29.

Hernando-Cuñado, J., Colvin-Díez, J., & Enríquez-Román, J. (2019). Mercadona – A successful business case. Academicus International Scientific Journal, 20, 128–141.

Holyoak, K. J. (1991). Symbolic connectionism: Toward third-generation theories of expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 301–335). Cambridge University Press.

Jiao, C., & Hu, B. (2022). Showrooming, webrooming, and operational strategies for competitiveness. Production and Operations Management, 31(8), 3217–3232.

Kamboj, S., & Gupta, S. (2020). Use of smart phone apps in co-creative hotel service innovation: An evidence from India. Current Issues in Tourism, 23(3), 323–344.

Kondo, F. N., & Okubo, T. (2022). Understanding multi-channel consumer behavior: A comparison between segmentations of multi-channel purchases by product category and overall products. Journal of Retailing and Consumer Services, 64, Article 102792.

Konuş, U., Verhoef, P. C., & Neslin, S. A. (2008). Multichannel shopper segments and their covariates. Journal of Retailing, 84(4), 398–413.

Kumar, V., & Venkatesan, R. (2005). Who are the multichannel shoppers and how do they perform? Correlates of multichannel shopping behavior. Journal of Interactive Marketing, 19(2), 44–62.

Kwon, O., Singh, T., & Kim, S. (2023). The competing roles of variety seeking in new brand adoption. Journal of Retailing and Consumer Services, 72, Article 103283.

Lindquist, J. D., & Kaufman-Scarborough, C. J. (2007). The polychronic-monochronic tendency model: PMTS scale development and validation. Time & Society, 16(2–3), 253–285.

Lovett, M. C., & Schunn, C. D. (1999). Task representations, strategy variability, and base-rate neglect. Journal of Experimental Psychology: General, 128(2), 107–130.

Mahatanankoon, P. (2007). The effects of personality traits and optimum stimulation level on text-messaging activities and m-commerce intention. International Journal of Electronic Commerce, 12(1), 7–30.

Martenson, R. (2018). Curiosity motivated vacation destination choice in a reward and variety-seeking perspective. Journal of Retailing and Consumer Services, 41, 70–78.

Menon, S., & Kahn, B. E. (1995). The impact of context on variety seeking in product choices. Journal of Consumer Research, 22(3), 285–295.

Mishra, R., Singh, R. K., & Koles, B. (2021). Consumer decision-making in omnichannel retailing: Literature review and future research agenda. International Journal of Consumer Studies, 45(2), 147–174.

Mittelstaedt, R. A., Grossbart, S. L., Curtis, W. W., & DeVere, S. P. (1976). Optimal stimulation level and the adoption decision process. Journal of Consumer Research, 3(2), 84–94.

Mladenow, A., Mollova, A., & Strauss, C. (2018). Mobile technology contributing to omni-channel retail. In Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia (pp. 92–101).

Mohan, G., Sivakumaran, B., & Sharma, P. (2012). Store environment’s impact on variety seeking behavior. Journal of Retailing and Consumer Services, 19(4), 419–428.

Montaguti, E., Neslin, S. A., & Valentini, S. (2015). Can marketing campaigns induce multichannel buying and more profitable customers? A field experiment. Marketing Science, 35(2), 201–217.

Neslin, S. A. (2022). The omnichannel continuum: Integrating online and offline channels along the customer journey. Journal of Retailing, 98(1), 111–132.

Papagiannidis, S., Alamanos, E., Bourlakis, M., & Dennis, C. (2023). The pandemic consumer response: A stockpiling perspective and shopping channel preferences. British Journal of Management, 34(2), 664–691.

Papatla, P., & Bhatnagar, A. (2002). Shopping style segmentation of consumers. Marketing Letters, 13(2), 91–106.

Polites, G. L., & Karahanna, E. (2012). Shackled to the status quo: The inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Quarterly, 36(1), 21–42.

Porter, C. O. L. H., Outlaw, R., Gale, J. P., & Cho, T. S. (2019). The use of online panel data in management research: A review and recommendations. Journal of Management, 45(1), 319–344.

Quach, S., Barari, M., Moudrý, D. V., & Quach, K. (2022). Service integration in omnichannel retailing and its impact on customer experience. Journal of Retailing and Consumer Services, 65, Article 102267.

Raju, P. S. (1980). Optimum stimulation level: Its relationship to personality, demographics, and exploratory behavior. Journal of Consumer Research, 7(3), 272–282.

Rohm, A. J., & Swaminathan, V. (2004). A typology of online shoppers based on shopping motivations. Journal of Business Research, 57(7), 748–757.

Saha, K., & Bhattacharya, S. (2020). Look before you leap: Economics of being an omnichannel retailer. Operations and Supply Chain Management, 13(3), 256–268.

Segovia, M., Grashuis, J., & Skevas, T. (2021). Consumer preferences for grocery purchasing during the COVID-19 pandemic: A quantile regression approach. British Food Journal, 124(11), 3595–3623.

Sipior, J. C., Ward, B. T., & Volonino, L. (2014). Privacy concerns associated with smartphone use. Journal of Internet Commerce, 13(3–4), 177–193.

Srivastava, J., Nakazawa, M., & Chen, Y.-W. (2016). Online, mixed, and offline media multitasking: Role of cultural, socio-demographic, and media factors. Computers in Human Behavior, 62, 720–729.

Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004). Determining uses and gratifications for the Internet. Decision Sciences, 35(2), 259–288.

Steenkamp, J.-B. E. M., & Baumgartner, H. (1992). The role of optimum stimulation level in exploratory consumer behavior. Journal of Consumer Research, 19(3), 434–448.

Trivedi, M. (1999). Using variety-seeking-based segmentation to study promotional response. Journal of the Academy of Marketing Science, 27(1), 37–49.

Truong, D., & Truong, M. D. (2022). How do customers change their purchasing behaviours during the COVID-19 pandemic? Journal of Retailing and Consumer Services, 67, Article 102963.

Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181.

Wang, Q., Yang, X., Song, P., & Sia, C. L. (2014). Consumer segmentation analysis of multichannel and multistage consumption: A latent class MNL approach. Journal of Electronic Commerce Research, 15(4), 339–358.

Yurova, Y., Rippé, C. B., Weisfeld-Spolter, S., Sussan, F., & Arndt, A. (2017). Not all adaptive selling to omni-consumers is influential: The moderating effect of product type. Journal of Retailing and Consumer Services, 34, 271–277.