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Evaluating strategies for promoting retail mobile channel using a hidden Markov model

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  • Chen, Jialie
  • Rao, Vithala R.

Abstract

With the proliferation of mobile communication technology, many firms, including retailers and consumer banks, are making efforts to develop mobile platforms to better engage with their customers and reduce operational costs. However, the cost advantage of these mobile technologies will not yield fruition unless the mobile channel accounts for a significant share of total transactions. In this article, we explore potential options for firms to promote usage of the mobile channel. To achieve this, we propose a hidden Markov model to both model customers’ decisions and assess different managerial strategies through simulations. While we apply our proposed model to data from a leading financial institution, our approach is equally applicable to other retail settings. The results show that customers’ choices of services and channels are sensitive to process time by type of channel. A 10% increase in process time through non-mobile channels leads to a nearly 14% increase in utilization of mobile banking channel. Therefore, retailing firms could potentially influence customers’ choice of different channels by changing channel-specific process times. Motivated by these findings, we present and compare performances across five different policies, in promoting the usage of mobile channel. Drawing on our simulation results, we also make personalized policy recommendations to firms facing different levels of financial constraints. For those with financial constraints, we recommend a policy of increasing process time for a selected subset of service requests through non-mobile channels. Firms not constrained by the resources might be better off improving process time with the mobile channel by targeting customers identified as having a better relationship with the firm.

Suggested Citation

  • Chen, Jialie & Rao, Vithala R., 2023. "Evaluating strategies for promoting retail mobile channel using a hidden Markov model," Journal of Retailing, Elsevier, vol. 99(1), pages 66-84.
    • Handle: RePEc:eee:jouret:v:99:y:2023:i:1:p:66-84
    DOI: 10.1016/j.jretai.2022.07.001
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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Liran Einav & Jonathan Levin & Igor Popov & Neel Sundaresan, 2014. "Growth, Adoption, and Use of Mobile E-Commerce," American Economic Review, American Economic Association, vol. 104(5), pages 489-494, May.
    3. Jonathan Z. Zhang & Oded Netzer & Asim Ansari, 2014. "Dynamic Targeted Pricing in B2B Relationships," Marketing Science, INFORMS, vol. 33(3), pages 317-337, May.
    4. Oded Netzer & James M. Lattin & V. Srinivasan, 2008. "A Hidden Markov Model of Customer Relationship Dynamics," Marketing Science, INFORMS, vol. 27(2), pages 185-204, 03-04.
    5. Wang, Rebecca Jen-Hui & Malthouse, Edward C. & Krishnamurthi, Lakshman, 2015. "On the Go: How Mobile Shopping Affects Customer Purchase Behavior," Journal of Retailing, Elsevier, vol. 91(2), pages 217-234.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Melis, Kristina & Campo, Katia & Lamey, Lien & Breugelmans, Els, 2016. "A Bigger Slice of the Multichannel Grocery Pie: When Does Consumers’ Online Channel Use Expand Retailers’ Share of Wallet?," Journal of Retailing, Elsevier, vol. 92(3), pages 268-286.
    8. Mei Xue & Lorin M. Hitt & Patrick T. Harker, 2007. "Customer Efficiency, Channel Usage, and Firm Performance in Retail Banking," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 535-558, April.
    9. Melis, Kristina & Campo, Katia & Breugelmans, Els & Lamey, Lien, 2015. "The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?," Journal of Retailing, Elsevier, vol. 91(2), pages 272-288.
    10. Mark, Tanya & Lemon, Katherine N. & Vandenbosch, Mark & Bulla, Jan & Maruotti, Antonello, 2013. "Capturing the Evolution of Customer–Firm Relationships: How Customers Become More (or Less) Valuable Over Time," Journal of Retailing, Elsevier, vol. 89(3), pages 231-245.
    11. Unnati Narang & Venkatesh Shankar, 2019. "Mobile App Introduction and Online and Offline Purchases and Product Returns," Marketing Science, INFORMS, vol. 38(5), pages 756-772, September.
    12. Liu, Huan & Lobschat, Lara & Verhoef, Peter C. & Zhao, Hong, 2019. "App Adoption: The Effect on Purchasing of Customers Who Have Used a Mobile Website Previously," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 16-34.
    13. Krishnamurthi, Lakshman & Mazumdar, Tridib & Raj, S P, 1992. "Asymmetric Response to Price in Consumer Brand Choice and Purchase Quantity Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 387-400, December.
    14. van Heerde, Harald J. & Dinner, Isaac M. & Neslin, Scott A., 2019. "Engaging the unengaged customer: The value of a retailer mobile app," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 420-438.
    15. Kim, Su Jung & Wang, Rebecca Jen-Hui & Malthouse, Edward C., 2015. "The Effects of Adopting and Using a Brand's Mobile Application on Customers' Subsequent Purchase Behavior," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 28-41.
    16. Daniel S. Putler, 1992. "Incorporating Reference Price Effects into a Theory of Consumer Choice," Marketing Science, INFORMS, vol. 11(3), pages 287-309.
    17. Lorin M. Hitt & Frances X. Frei, 2002. "Do Better Customers Utilize Electronic Distribution Channels? The Case of PC Banking," Management Science, INFORMS, vol. 48(6), pages 732-748, June.
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    1. Basu, Bibaswan & Sebastian, M.P. & Kar, Arpan Kumar, 2024. "What affects the promoting intention of mobile banking services? Insights from mining consumer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).

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