In 2023, the Belgian newspaper Dernière Heure revealed that the ride-hailing platform Uber charges different prices to users based on their phone’s battery level.[1] Specifically, for the same trip, if your phone has 84% battery remaining, Uber charges 16.6 euros; but if you only have 12% battery left, the price rises to 17.56 euros. The logic behind this pricing is obvious: if your phone is about to run out of battery, you’re probably in no position to wait, and have no choice but to accept Uber’s higher price

3917 7271
KK 836
- Ph.D., University of Toronto
- M.Phil., HKUST
- B.E., Tsinghua University
Xi Li is a Professor of Marketing at the University of Hong Kong. He uses economics and machine learning methods to understand how information technologies such as artificial intelligence, recommender systems, data-driven algorithms, blockchain, and algorithmic pricing affect firms, consumers and the society, and how policymakers should regulate big data and protect consumer privacy.
Algorithms, big data and online marketplaces
- When Does It Pay to Invest in Pricing Algorithms, (with Xin Wang and Praveen K. Kopalle), Production and Operations Management, forthcoming.
- Crowdfunding Success for Female Versus Male Entrepreneurs Depends on Whether a Consumer Versus Investor Decision Frame Is Salient, (with Huachao Gao, Xin Shane Wang and June Cotte), Journal of Marketing Research, 62(2), 274-293, 2025.
- The Dark Side of Voluntary Data Sharing, (with Bingqing Li and Zhilin Yang), MIS Quarterly, 49(1), 155-178, 2025.
- Endogenous Costs, Market Competition, and Disclosure, Marketing Science, 44(2), 374-389, 2025.
- Is Personalized Pricing Profitable When Firms Can Differentiate? (with Xin Wang and Barrie R. Nault), Management Science, 70(7):4184-4199, 2024.
- The Bright Side of Inequity Aversion, (with Xinlong Li), Management Science, 69(7):4210-4227, 2023.
- Channel Coordination of Storable Goods, (with Krista J. Li and Xiong Yan), Marketing Science, 42(3):538-550, 2023.
- Advance Selling in Marketing Channels, (with Krista J. Li), Journal of Marketing Research, 60(2), 371–387, 2023.
- Beating the Algorithm: Consumer Manipulation, Personalized Pricing, and Big Data Management, (with Krista J. Li), Manufacturing & Service Operations Management, 25(1), 36-49, 2023.
- Superior Knowledge, Price Discrimination, and Customer Inspection, (with Zibin Xu), Marketing Science, 41(6), 1029- 1182, 2022.
- Strategic Inventories Under Supply Chain Competition, (with Yanzhi Li and Ying-Ju Chen), Manufacturing & Service Operations Management, 24(1), 77-90, 2022.
- Contract Unobservability and Downstream Competition, (with Qian Liu), Manufacturing & Service Operations Management, 23(6), 1468-1482, 2021.
- Audio Mining: The Role of Vocal Tone in Persuasion, (with Xin Wang, Shijie Lu, Mansur Khamitov, and Neil Bendle), Journal of Consumer Research, 48(2), 189-211, 2021.
- Reviewing Experts’ Restraint from Extremes and Its Impact on Service Providers, (with Peter Nguyen, Xin Wang and June Cotte), Journal of Consumer Research, 47(5), 654-674, 2021.
- Transparency of Behavior-Based Pricing, (with Krista J. Li and Xin Wang), Journal of Marketing Research, 57(1), 78-99, 2020.
- Video Mining: Measuring Visual Information Using Automatic Methods, (with Mengze Shi and Xin Wang), International Journal of Research in Marketing, 36(2), 216-231, 2019.
- Managing Consumer Deliberations in a Decentralized Distribution Channel, (with Yanzhi Li and Mengze Shi), Marketing Science, 38(1), 170-190, 2019.
- Product and Pricing Decisions in Crowdfunding, (with Ming Hu and Mengze Shi), Marketing Science, 34(3), 331-345, 2015.
- 2021 MSI Young Scholar
In the era of online shopping, the so-called "no discounts for old customers or dogs" policy often leaves loyal consumers feeling helpless. Many e-commerce platforms implement a "one person, one price" strategy, and even tailor prices based on users' purchasing habits and browsing histories, causing different consumers to pay different prices for the same product. In addition, airline ticket prices fluctuate constantly, with the phenomenon of "the more you search, the more expensive it gets" becoming the norm.
Recently, Chinese Mainland e-commerce giants Taobao, JD.com, and Pinduoduo have upped their game by incorporating Hong Kong into their free shipping zones. In the past, Hongkongers relied on transshipment consolidation to facilitate the receipt of their ordered goods. Little wonder that customers have warmly welcomed the new one-stop shopping services.
Firms must often decide whether to disclose private information regarding their costs to other market participants. Although extant literature has explored firms’ incentives to disclose exogenous and uncertain costs, little is known about when their endogenous costs should be disclosed. This paper studies the cost-disclosure strategies of competing firms whose inputs are sourced from and endogenously priced by upstream suppliers. We find, first, that cost disclosure affects not only market competition but also the motivations of suppliers in setting their input prices. As such, firms can strategize their disclosure decisions to optimize their procurement costs. Second, we find that firms’ disclosure decisions vary depending on both the nature of the competition and the market structure at hand. That is, when competing firms source from the same supplier or compete on price, they never disclose their costs; in such a case, nondisclosure is strictly better for consumers and welfare compared with disclosure. When competing firms source from different suppliers and compete on quantity, they always disclose; in such a case, disclosure is strictly better for consumers and welfare compared with nondisclosure. We also find that whereas manufacturers’ disclosure incentives are misaligned with those of suppliers, they are largely aligned with the goal of maximizing channel profits. Together, our results underscore the distinct role that endogenous costs play in firms’ disclosure decisions.
To balance the need for privacy and the benefits of big-data analytics, regulators around the world are giving consumers control over their data, allowing them to choose whether or not to voluntarily share their purchase history data with firms. Intuition suggests that voluntary data sharing only benefits consumers who can now choose to share their data only when it is profitable to do so. To investigate this argument, we build a model in which a monopolistic firm sells a repeatedly purchased product to consumers over two periods, and consumers decide whether or not to share their purchase history data with the firm, who can use it in the future to price discriminate against them. We find that, compared to when data collection is completely outlawed, voluntary data sharing can benefit the firm but at its consumers’ expense. Moreover, regulations that mandate firms to better protect consumer data against data breaches can backfire on consumers. Finally, we show that under voluntary data sharing, a firm’s ability to offer consumers a monetary incentive to share their data can improve profits without hurting consumers. Taken together, these findings underscore the surprising effects of voluntary data sharing and caution public policymakers of how certain data policies that, on the surface, seem purely beneficial can lead to unintended consequences.
We consider the role of personalized pricing (PP) on product differentiation when PP is costly to implement. Using a stylized yet commonly used formulation, we find that when firms decide on positioning before deciding on PP implementation, PP implementation cost affects not only the amount of differentiation firms choose in their positioning, firm profits, consumer surplus, and social welfare, but also whether firms implement PP. When PP implementation cost is low, firms cannot help but to implement PP and engage in direct price competition. Moreover, firms implementing PP reduce their differentiation, further intensifying price competition, and are worse off. When PP implementation cost is moderate, firms position to reduce their differentiation to commit to not implementing PP, again aggravating price competition. In contrast, when PP implementation cost is higher, firms increase their differentiation due to the threat of PP but do not implement PP. As a result, the availability of PP improves firm profits, even though firms do not implement PP. However, if differentiation is restricted, then PP availability cannot improve firm profits. If an information seller sets the PP implementation cost, then it sets the cost low. Consequently, firms implement PP and are worse off. We also find that when firms decide whether to implement PP before deciding on positioning, they never implement PP. This is the case when PP implementation is complex, and differentiation can be affected by short-run advertising and promotion. Finally, we show that banning PP can benefit consumers when accounting for changes in firm positioning.
Modern consumers are concerned about not only their material payoff, but also the fairness of the transaction when making purchasing decisions. In this paper, we investigate how consumers’ inequity aversion affects a manufacturer who sources inputs from upstream suppliers. We find that, when the manufacturer sources from a single supplier or when consumers observe the manufacturer’s cost, inequity aversion hurts both the supplier’s and manufacturer’s profits. However, when the manufacturer sources from multiple suppliers and consumers do not observe the manufacturer’s cost, inequity aversion reduces both the suppliers’ and manufacturer’s margins, which significantly alleviates the double marginalization problem, increases consumer demand, and improves channel efficiency. As a result, inequity aversion benefits the suppliers, manufacturer, and consumers alike, leading to a “win–win–win” outcome. By comparing cases in which consumers observe and do not observe the manufacturer’s cost, we also find that, when faced with inequity-averse consumers, a manufacturer may find it optimal to withhold its cost information to help secure lower procurement costs from upstream suppliers.
Manufacturers of consumer-packaged goods invest heavily in trade promotions (i.e., temporary wholesale price discounts), but retailer stockpiling often yields trade promotions unprofitable. In this paper, we investigate how a manufacturer should respond to the retailer’s and consumers’ stockpiling ability by contracting with the retailer. Specifically, we examine when the manufacturer should restrict the retailer’s stockpiling ability and when it should issue trade promotions. Our analysis suggests the following. First, the manufacturer should restrict the retailer’s stockpiling ability when the storage cost is low; such restriction also benefits the retailer, resulting in a win-win outcome. Second, the manufacturer should offer trade promotions when the retailer cannot stockpile products and the storage cost is low but raise the wholesale price when the retailer can stockpile products. Third, stockpiling improves channel coordination and increases the manufacturer’s profit; therefore, the manufacturer should design products to be more storable.




