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Selling or leasing? Dynamic pricing of software with upgrades

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  • Jia, Kunhao
  • Liao, Xiuwu
  • Feng, Juan

Abstract

In this paper, we analyze the profitability of a selling and a leasing model by considering both software upgrades and different price discrimination strategies in a two-period model framework. Three price discrimination strategies are considered: inter-temporal, behavior-based, and a hybrid price discrimination strategy. We find that consumers’ inter-temporal purchase behaviors and a vendor's choice of price discrimination strategies make it possible for a selling model to be more profitable than a leasing model. More specifically, if the monopolist cannot commit to never using information about consumers’ past purchase behavior for price discrimination, the selling model is more profitable than the leasing model. We also find that if a selling model is adopted, the monopolist should choose the behavior-based price discrimination strategy with a reward for returning consumers; but if a leasing model is adopted, the monopolist should choose the inter-temporal price discrimination strategy with a rising price. We also extend our model to a duopoly market. Different from a monopoly case, we find that the selling model dominates the leasing model under the hybrid strategy, while these two models are equally profitable under the inter-temporal strategy. These findings provide new insights into the comparison of the selling and leasing models.

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  • Jia, Kunhao & Liao, Xiuwu & Feng, Juan, 2018. "Selling or leasing? Dynamic pricing of software with upgrades," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1044-1061.
  • Handle: RePEc:eee:ejores:v:266:y:2018:i:3:p:1044-1061
    DOI: 10.1016/j.ejor.2017.10.063
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    3. Frank Bodendorf & Manuel Lutz & Jörg Franke, 2021. "Valuation and pricing of software licenses to support supplier–buyer negotiations: A case study in the automotive industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1686-1702, October.
    4. Monire Jalili & Michael S. Pangburn, 2020. "Pricing Joint Sales and Rentals: When are Purchase Conversion Discounts Optimal?," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2679-2695, December.
    5. Nie, Jiajia & Zhong, Ling & Li, Gendao & Cao, Kuo, 2022. "Piracy as an entry deterrence strategy in software market," European Journal of Operational Research, Elsevier, vol. 298(2), pages 560-572.
    6. Jian Li & Huan Wang & Zhiwen Deng & Wen Zhang & Guoqing Zhang, 2022. "Leasing or selling? The channel choice of durable goods manufacturer considering consumers’ capital constraint," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 317-350, June.
    7. Zhang, Peng & Shi, Victor & Shao, Lingzhi & Liu, Yang, 2023. "When can a manufacturer benefit from adding a direct sharing channel?," European Journal of Operational Research, Elsevier, vol. 309(1), pages 371-386.
    8. Haitao Chen & Qiang Xu & Zhaohui Dong & Hetian Zhao, 2023. "Recycling Versus Leasing in Closed-Loop Supply Chain: A Comparative Analysis Anchored on Consumer Ownership Perceptions," SAGE Open, , vol. 13(4), pages 21582440231, December.
    9. Avinadav, Tal & Chernonog, Tatyana & Ben-Zvi, Tal, 2019. "The effect of information superiority on a supply chain of virtual products," International Journal of Production Economics, Elsevier, vol. 216(C), pages 384-397.
    10. Shengli Li & Qiuyue Luo & Liangfei Qiu & Subhajyoti Bandyopadhyay, 2020. "Optimal Pricing Model of Digital Music: Subscription, Ownership or Mixed?," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 688-704, March.
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