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Journal of the Academy of Marketing Science
Erschienen in: Journal of the Academy of Marketing Science 5/2022

22.03.2022 | Original Empirical Research

A model of online shopping cart abandonment: evidence from e-tail clickstream data

verfasst von: Monika Kukar-Kinney, Angeline Close Scheinbaum, Larry Olanrewaju Orimoloye, Jeffrey R. Carlson, Heping He

Erschienen in: Journal of the Academy of Marketing Science | Ausgabe 5/2022

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Abstract

This research investigates online consumer behavior in an e-commerce context with a focus on consumer online shopping cart use and subsequent cart abandonment. A model rooted in the Uses and Gratifications Theory, the Unified Theory of Acceptance and Use of Technology, and the concept of the purchase funnel is developed to explain the predicted relationships. Empirical findings based on clickstream data show that returning to an existing cart increases the subsequent cart use and decreases cart abandonment. Conversely, viewing clearance pages and viewing a large number of product reviews increases both cart use and cart abandonment. Browsing product pages decreases cart use, and increases cart abandonment. The moderating role of smartphone-based shopping is also examined, with the moderating effects primarily occurring early in the purchase funnel affecting cart use, and influencing cart abandonment to a smaller degree. Theoretical contributions and managerial implications for digital marketers are provided.
Vorheriger Artikel Corporate lobbying and product recalls: an investigation in the U.S. medical device industry
Nächster Artikel Information search behavior at the post-purchase stage of the customer journey

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Fußnoten
1
CMP analysis was conducted as a robustness check. The CMP model fit was substantially worse (BIC = 20,333; log-likelihood = −9383) than the fit of the ZIP and CLGT models. While a majority of the coefficients was consistent, there were some changes. For cart use, a previously significant interaction between existing cart and device type became non-significant, while the main effect of clearance page became negative. For cart abandonment, visiting clearance page, cart removal, and number of products seen had a significant and negative effect. A possible reason for the changes is simultaneous, rather than sequential estimation. We argue that based on cart use being a condition that has to occur before cart can be abandoned, sequential modeling is more appropriate. Heteroskedasticity could also render CMP results to be inconsistent.
 
Literatur
Aiken, L. S., & West, S. G. (1991). Multiple regression testing and interpreting interactions. Sage Publications.
Anupindi, R., Dada, M., & Gupta, S. (1998). Estimation of consumer demand with stock-out based substitution: An application to vending machine products. Marketing Science, 17(4), 406–423.CrossRef
Atkins, D. C., & Gallop, R. J. (2007). Rethinking how family researchers model infrequent outcomes: A tutorial on count regression and zero-inflated models. Journal of Family Psychology, 21(4), 726–735.CrossRef
Azoulay, P., Graff Zivin, J. S., & Wang, J. (2010). Superstar extinction. The Quarterly Journal of Economics, 125(2), 549–589.CrossRef
Batra, R., & Keller, K. L. (2016). Integrating marketing communications: New findings, new lessons, and new ideas. Journal of Marketing, 80(6), 122–145.CrossRef
Bell, D. R., Corsten, D., & Knox, G. (2011). From point of purchase to path to purchase: How preshopping factors drive unplanned buying. Journal of Marketing, 75(1), 31–45.CrossRef
Bhatnagar, A., & Papatla, P. (2019). Do habits influence the types of information that smartphone shoppers seek? Journal of Business Research, 94(1), 89–98.CrossRef
Blumler, J. G. (1979). The role of theory in uses and gratifications studies. Communication Research, 6(1), 9–36.CrossRef
Breugelmans, E., Campo, K., & Gijsbrechts, E. (2006). Opportunities for active stock-out management in online stores: The impact of the stock-out policy on online stock-out reactions. Journal of Retailing, 82(3), 215–228.CrossRef
Bucklin, R. E., & Sismeiro, C. (2003). A model of web site browsing behavior estimated on clickstream data. Journal of Marketing Research, 40(3), 249–267.CrossRef
Bucklin, R. E., & Sismeiro, C. (2009). Click here for internet insight: Advances in clickstream data analysis in marketing. Journal of Interactive Marketing, 23(1), 35–48.CrossRef
Campo, K., Gijsbrechts, E., & Nisol, P. (2000). Towards understanding consumer response t stock-outs. Journal of Retailing, 76(2), 219–242.CrossRef
Campo, K., Gijsbrechts, E., & Nisol, P. (2004). Dynamics in consumer response to product unavailability: Do stock-out reactions signal response to permanent assortment reductions? Journal of Business Research, 57(8), 834–843.CrossRef
Castro, I. A., Morales, A. C., & Nowlis, S. M. (2013). The influence of disorganized shelf displays and limited product quantity on consumer purchase. Journal of Marketing, 77(4), 118–133.CrossRef
Cialdini, R. B. (2001). Influence: Science and practice. Allyn & Bacon.
Chatterjee, P., Hoffman, D. L., & Novak, T. P. (2003). Modeling the clickstream: Implications for web-based advertising efforts. Marketing Science, 22(4), 520–541.CrossRef
Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477–491.CrossRef
Cho, C.-H., Kang, J., & Cheon, H. (2006). Online shopping hesitation. Cyberpsychology & Behavior, 9(3), 261–274.CrossRef
Close, A., & Kukar-Kinney, M. (2010). Beyond buying: Motivations behind consumers' online shopping cart use. Journal of Business Research, 63(9–10), 986–992.CrossRef
Close, A., Kukar-Kinney, M., & Benusa, T. K. (2012). Toward a theory of consumer electronic shopping cart behavior: Motivations of e-cart use and abandonment. In A. G. Close (Ed.), Online consumer behavior: Theory and research in social media, advertising and e-tail (pp. 323–343). Routledge.CrossRef
Danaher, P., Mullarkey, G., & Essegaier, S. (2006). Factors affecting web site visit duration: A cross-domain analysis. Journal of Marketing Research, 43(2), 182–194.CrossRef
De Haan, E., Kannan, P. K., Verhoef, P. C., & Wiesel, T. (2018). Device switching in online purchasing: Examining the strategic contingencies. Journal of Marketing, 82(5), 1–19.CrossRef
Eisend, M. (2008). Explaining the impact of scarcity appeals in advertising: The mediating role of perceptions of susceptibility. Journal of Advertising, 37(3), 33–40.CrossRef
Evanschitzky, H., Gopalkrishnan, R., Iyer, J. H., & Dieter, A. (2004). E-satisfaction: A re-examination. Journal of Retailing, 80(3), 239–247.CrossRef
Garnefeld, I., Eggert, A., Helm, S. V., & Tax, S. S. (2013). Growing existing customers’ revenue streams through customer referral programs. Journal of Marketing, 77(4), 17–32.CrossRef
Germann, F., Ebbes, P., & Grewal, R. (2015). The chief marketing officer matters! Journal of Marketing, 79(3), 1–22.CrossRef
Haider, S. W., Zhuang, G., Ikram, A., & Anwar, B. (2020). Consumers' device choice in e-retail: Do regulatory focus and chronotype matter? KSII Transactions on Internet and Information Systems, 14(1), 148–167.
Huang, G.-H., Korfiatis, N., & Chang, C.-T. (2018). Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation. Journal of Business Research, 85(1), 165–174.CrossRef
Huang, P., Lurie, N., & Mitra, S. (2009). Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods. Journal of Marketing, 73(2), 55–69.CrossRef
Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of smartphone-based Mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context. Psychology & Marketing, 34(2), 175–194.CrossRef
Inman, J. J., & Nikolova, H. (2017). Shopper-facing retail technology: A retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of Retailing, 93(1), 7–28.CrossRef
Inman, J. J., Peter, A. C., & Raghubir, P. (1997). Framing the deal: The role of restrictions in accentuating deal value. Journal of Consumer Research, 24(1), 68–79.CrossRef
Jang, S., Prasad, A., & Ratchford, B. T. (2012). How consumers use product reviews in the purchase decision process. Marketing Letters, 23(3), 825–838.CrossRef
Jessup, R. K., Veinott, E. S., Todd, P. M., & Busemeyer, J. R. (2009). Leaving the store empty-handed: Testing explanations for the too-much-choice effect using decision field theory. Psychology & Marketing, 26(3), 299–320.CrossRef
Johnson, G. A., Lewis, R. A., & Nubbemeyer, E. A. (2017). Ghost ads: Improving the economics of measuring online ad effectiveness. Journal of Marketing Research, 54(6), 867–884.CrossRef
Kaatz, C., Brock, C., & Figura, L. (2019). Are you still online or are you already mobile?–predicting the path to successful conversions across different devices. Journal of Retailing and Consumer Services, 50(1), 10–21.
Ko, H., Cho, C. H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of Advertising, 34(2), 57–70.CrossRef
Kukar-Kinney, M., & Close, A. (2010). The determinants of shopping cart abandonment. Journal of the Academy of Marketing Science, 38(2), 240–250.CrossRef
Kukar-Kinney, M., Scheinbaum, A. C., & Schaefers, T. (2016). Compulsive buying in online daily deal settings: An investigation of motivations and contextual elements. Journal of Business Research, 69(2), 691–699.CrossRef
Kukar-Kinney, M., & Xia, L. (2017). The effectiveness of number of deals purchased in influencing consumer response to daily deal promotions: A cue utilization approach. Journal of Business Research, 79(10), 189–197.CrossRef
Lambert, D. (1992). Zero-inflated Poisson regression with an application to defects in manufacturing. Technometrics, 34(1), 1–14.CrossRef
Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: An empirical model and a field experiment. Journal of Marketing Research, 51(1), 40–56.
Li, J., Abbasi, A., Cheema, A., & Abraham, L. B. (2020). Path to purpose? How online customer journeys differ for hedonic versus utilitarian purchases. Journal of Marketing, 84(4), 127–146.CrossRef
Li, J., Luo, X., Lu, X., & Moriguchi, T. (2021). The double-edged effects of e-commerce cart retargeting: Does retargeting too early backfire? Journal of Marketing, 85(4), 123–140.CrossRef
Mallapragada, G., Chandukala, S. R., & Liu, Q. (2016). Exploring the effects of “what” (product) and “where” (website) characteristics on online shopping behavior. Journal of Marketing, 80(2), 21–38.CrossRef
Maslowska, E., Malthouse, E. C., & Bernritter, S. F. (2017). Too good to be true: The role of online reviews’ features in probability to buy. International Journal of Advertising, 36(1), 142–163.CrossRef
McQuail, D. (1987). Mass communication theory: An introduction (2nd ed.). Sage.
Miyazaki, A. D., Grewal, D., & Goodstein, R. C. (2005). The effect of multiple extrinsic cues on quality perceptions: A matter of consistency. Journal of Consumer Research, 32(1), 146–153.CrossRef
Moore, S., & Mathews, S. (2008). An exploration of online shopping cart abandonment syndrome–a matter of risk and reputation. Journal of Website Promotion, 2(1–2), 71–88.
Moe, W. W. (2003). Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. Journal of Consumer Psychology, 13(1–2), 29–39.CrossRef
Moe, W. W. (2006). An empirical two-stage choice model with varying decision rules applied to internet clickstream data. Journal of Marketing Research, 43(4), 680–692.CrossRef
Natarajan, T., Balasubramanian, S., & Kasilingam, D. (2018). The moderating role of device type and age of users on the intention to use mobile shopping applications. Technology in Society, 53, 79–90.CrossRef
O’Donohoe, S. (1994). Advertising uses and gratifications. European Journal of Marketing, 28(8/9), 52–75.CrossRef
Oliver, R. L., & Shor, M. (2003). Digital redemption of coupons: Satisfying and dissatisfying effects of promotion codes. Journal of Product and Brand Management, 12(2), 121–134.CrossRef
Rajamma, R., Paswan, A., & Hossain, M. (2009). Why do shoppers abandon shopping cart? Perceived waiting time, risk, and transaction inconvenience. Journal of Product and Brand Management, 18(3), 188–197.CrossRef
Roggeveen, A. L., Grewal, D., Townsend, C., & Krishnan, R. (2015). The impact of dynamic presentation format on consumer preferences for hedonic products and services. Journal of Marketing, 79(6), 34–49.CrossRef
Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika,70(1), 41–55.CrossRef
Rubin, D., Martins, C., Ilyuk, V., & Hildebrand, D. (2020). Online shopping cart abandonment: A consumer mindset perspective. Journal of Consumer Marketing, 37(5), 487–499.CrossRef
Rutz, O. J., & Watson, G. F. (2019). Endogeneity and marketing strategy research: An overview. Journal of the Academy of Marketing Science, 47(3), 479–498.CrossRef
Sahni, N., Narayanan, S., & Kalyanam, K. (2019). An experimental investigation of the effects of retargeted advertising: The role of frequency and timing. Journal of Marketing Research, 56(3), 401–418.CrossRef
Scheibehenne, B., Greifeneder, R., & Todd, P. M. (2010). Can there ever be too many options? A meta-analytic review of choice overload. Journal of Consumer Research, 37(3), 409–425.CrossRef
Shi, S. W., & Zhang, J. (2014). Usage experience with decision aids and evolution of online purchase behavior. Marketing Science, 33(6), 871–882.CrossRef
Sismeiro, C., & Bucklin, R. E. (2004). Modeling purchase behavior at an e-commerce web site: A task-completion approach. Journal of Marketing Research, 41(3), 306–323.CrossRef
Sloot, L. M., Verhoef, P. C., & Franses, P. H. (2005). The impact of brand equity and the hedonic level of products on consumer stock-out reactions. Journal of Retailing, 81(1), 15–34.CrossRef
Smith, S. A., & Achabal, D. D. (1998). Clearance pricing and inventory policies for retail chains. Management Science, 44(3), 285–300.CrossRef
Song, J.-D. (2019). A study on online shopping cart abandonment: A product category perspective. Journal of Internet Commerce, 18(4), 337–368.CrossRef
Steinhart, Y., Mazursky, D., & Kamins, M. (2013). The process by which product availability triggers purchase. Marketing Letters, 24(3), 217–228.CrossRef
Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309–322.CrossRef
Tang, H., & Lin, X. (2019). Curbing shopping cart abandonment in c2c markets—An uncertainty reduction approach. Electronic Markets, 29(3), 533–552.CrossRef
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Wagner, G., Schramm-Klein, H., & Steinmann, S. (2020). Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment. Journal of Business Research, 107, 256–270.CrossRef
Wang, R., Malthouse, E. C., & Krishnamurthi, L. (2015). On the go: How mobile shopping affects customer purchase behavior. Journal of Retailing, 91(2), 217–234.CrossRef
Wolin, L. D., & Korgaonkar, P. (2003). Web advertising: Gender differences in beliefs, attitudes and behavior. Internet Research, 13(5), 375–385.CrossRef
Xu, Y., & Huang, J.-S. (2015). Factors influencing cart abandonment in the online shopping process. Social Behavior and Personality: An International Journal, 43(10), 1617–1627.
Yli-Renko, H., & Janakiraman, R. (2008). How customer portfolio affects new product development in technology-based entrepreneurial firms. Journal of Marketing, 72(5), 131–148.CrossRef
Zhang, L., & Zhang, W. (2013). Real-time internet news browsing: Information vs. experience-related gratifications and behaviors. Computers in Human Behavior, 29(6), 2712–2721.CrossRef
Metadaten
Titel
A model of online shopping cart abandonment: evidence from e-tail clickstream data
verfasst von
Monika Kukar-Kinney
Angeline Close Scheinbaum
Larry Olanrewaju Orimoloye
Jeffrey R. Carlson
Heping He
Publikationsdatum
22.03.2022
Verlag
Springer US
Erschienen in
Journal of the Academy of Marketing Science / Ausgabe 5/2022
Print ISSN: 0092-0703
Elektronische ISSN: 1552-7824
DOI
https://doi.org/10.1007/s11747-022-00857-8

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