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How Do Usage and Payment Behavior Interact in Rent‐to‐Own Business Models? Evidence from Developing Economies

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  • Jose A. Guajardo

Abstract

The diffusion of technological innovations in developing economies has been facilitated by the use of rent‐to‐own business models, which give flexibility to customers by allowing them to make incremental payments over time. Understanding the implications of this flexibility is a fundamental problem for an increasing number of firms operating in these markets. In this study, we empirically analyze how consumer usage and payment behaviors interact in an application of rent‐to‐own to the distribution of solar lamps in developing countries. By exploiting the longitudinal variation in the data—and hence accounting for intrinsic differences between customers—the analysis led to three main insights. First, higher usage rates lowered the probability of late payments by customers. Our characterization of this engagement effect enhances existing knowledge of the drivers of payment behavior in these environments. Second, customers often “bundled” payments, making advance payments for future product access. We showed that bundling the initial payment led to lower usage rates (bundling effect), suggesting that firms may not benefit from advance payments upfront, and that they should closely track usage patterns from these customers. Finally, we showed that first‐period usage information can improve the accuracy of predictive models of default and that observing usage rates in subsequent periods does not lead to further improvements. Overall, the analysis highlights the importance for firms of jointly tracking and analyzing payment and usage behavior by customers, particularly in initial stages of the adoption process.

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  • Jose A. Guajardo, 2019. "How Do Usage and Payment Behavior Interact in Rent‐to‐Own Business Models? Evidence from Developing Economies," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2808-2822, November.
  • Handle: RePEc:bla:popmgt:v:28:y:2019:i:11:p:2808-2822
    DOI: 10.1111/poms.13067
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    Cited by:

    1. Christopher S. Tang, 2022. "Innovative Technology and Operations for Alleviating Poverty through Women's Economic Empowerment," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 32-45, January.
    2. Erica L. Plambeck & Kamalini Ramdas, 2020. "Alleviating Poverty by Empowering Women Through Business Model Innovation: Manufacturing & Service Operations Management Insights and Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 123-134, January.
    3. d'Adda, Giovanna & Mahmud, Mahreen & Said, Farah & Bonan, Jacopo, 2020. "The Role of Flexibility and Planning in Repayment Discipline: Evidence from a Field Experiment on Pay-as-You-Go Off-Grid Electricity," RFF Working Paper Series 20-14, Resources for the Future.
    4. Nur Sunar & Jayashankar M. Swaminathan, 2022. "Socially relevant and inclusive operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4379-4392, December.
    5. Amir Karimi & Anant Mishra & Karthik V. Natarajan & Kingshuk K. Sinha, 2021. "Managing Commodity Stock‐outs in Public Health Supply Chains in Developing Countries: An Empirical Analysis," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3116-3142, September.
    6. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.

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