Article
Management
Ali Aouad, Daniela Saban
Summary: Motivated by online labor markets, this paper focuses on the online assortment optimization problem faced by a two-sided matching platform. The study investigates how platforms should design online assortment algorithms to maximize the expected number of matches in such settings. The results show that a simple greedy algorithm is 1/2-competitive against an optimal clairvoyant algorithm. However, no randomized algorithm can achieve a better competitive ratio, even in asymptotic regimes. The study further explores structured settings and develops new preference-aware balancing algorithms to improve the competitive ratios. The findings highlight the importance of suppliers' choices in designing online assortment algorithms for two-sided matching platforms.
MANAGEMENT SCIENCE
(2023)
Article
Computer Science, Information Systems
Yunhao Liu, Gengzhong Feng, Yangyang Sun, Xiangyin Kong
Summary: This study finds that closed platforms will only tolerate jailbreaking when the customers' utility suffers a slight decline. It also proves that jailbreaking has a negative impact on the closed platform's profit. However, if jailbreaking brings additional benefits to customers beyond free content, it can increase the platform's profit.
INFORMATION & MANAGEMENT
(2023)
Article
Management
Daniel Trabucchi, Laurent Muzellec, Sebastien Ronteau, Tommaso Buganza
Summary: With the rise of the digital economy, two-sided platforms have become increasingly important in facilitating interactions between different customer groups. Research indicates that the value created by digital platforms is not only based on reducing transaction costs and resolving frictions between two sides, but also on factors such as data-driven expansions, personalized services, and engagement mechanisms. These drivers enhance and enrich the basic value proposition of matchmaking on two-sided platforms.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
(2022)
Article
Management
Daniel Trabucchi, Tommaso Buganza, Roberto Verganti
Summary: Two-sided platforms have become more common due to digital technologies, with the research focusing on 'quantity'-driven and 'quality'-driven strategies. The study identifies differences in player recruitment and value perception between the two strategies, suggesting a possible integration for platform success.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
Rafal Kucharski, Oded Cats
Summary: This article introduces MaaSSim, a lightweight agent-based simulator that reproduces the complex interactions of two-sided mobility platforms in urban mobility. MaaSSim is flexible and open-source, capable of simulating the behaviors of travelers and drivers.
Article
Engineering, Manufacturing
Maxime C. Cohen, Renyu Zhang
Summary: Two-sided platforms have become ubiquitous in the market, competing not only for customers but also for flexible self-scheduling workers. This research analyzes the competition between these platforms in terms of pricing and wages, taking into account the strategic interactions among agents on both sides of the market. The study finds that well-designed profit sharing contracts can benefit all parties involved, but intense competition on the supply side may harm the profit of at least one platform.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Management
Saeed Alaei, Ali Makhdoumi, Azarakhsh Malekian, Sasa Pekec
Summary: This article studies two primary revenue allocation rules in music streaming platforms and compares them. It finds that the pro-rata rule is preferred by both the platform and the artists under certain circumstances, and the platform's problem of selecting an optimal portfolio of artists is NP-complete.
MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Yunmiao Gui, Dingbo Tan, Zhi Liu, Feng Dong
Summary: This study examines the impact of fairness concerns on pricing, matching, and profits in competitive two-sided markets. The findings show that platforms adjust their pricing strategy based on users' fairness concerns and exploit the disparity mentality to obtain higher pricing power. Additionally, users' fairness concern behaviors affect the platform's matching rate.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Business
Yongrui Duan, Peng Liu, Yixuan Feng
Summary: Most online platforms, including news media, adopt a business model based on user subscription prices and advertising prices. This study examines the optimal pricing strategy of online platforms considering users' privacy concerns, finding that information disclosure level can influence user demand and promote advertiser participation. Additionally, privacy concerns and information disclosure have a positive impact on the platform's free service strategy.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2022)
Article
Computer Science, Artificial Intelligence
Kwei-guu Liu, Kentaro Yahiro, Makoto Yokoo
Summary: In this study, a student-project-resource matching-allocation problem is examined. It is found that dividing the problem into two separate parts can lead to sub-optimal outcomes, and a whole integrated solution is needed. A new strategyproof mechanism called Sample and Deferred Acceptance (SDA) is developed to ensure fairness and efficiency. Experimental comparisons show that SDA strikes a good balance between fairness and efficiency when students are classified into different types based on their preferences.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Management
Hui Li, Qiaowei Shen, Yakov Bart
Summary: Researchers focus on multcategory two-sided platforms and propose optimal resource allocation strategies across two sides in different time periods. The study shows that the business model of platforms determines the optimal strategy, allocating resources according to pricing method and growth driver. Empirical research and simulations demonstrate the benefits of adjusting investment allocation.
MANAGEMENT SCIENCE
(2021)
Article
Management
Kostas Bimpikis, Yiangos Papanastasiou, Wenchang Zhang
Summary: This paper examines the impact of optimal information provision on the supply side in two-sided marketplaces. The findings suggest that information design can improve matching efficiency, increase transaction volume, and generate higher commission revenue for the platform.
MANAGEMENT SCIENCE
(2023)
Article
Management
Ramesh Johari, Hannah Li, Inessa Liskovich, Gabriel Y. Weintraub
Summary: This article presents an analytical framework for studying experimental design in two-sided marketplaces, focusing on the issue of interference. The authors explore the performance of different designs and estimators under marketplace interference effects and propose a novel experimental design based on two-sided randomization. The research finds that good experimental design relies on market balance, and the two-sided randomization design can achieve unbiased estimation in various market balance scenarios.
MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Information Systems
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Summary: This study investigates the issue of two-sided fairness on online platforms and proposes a fair personalized recommendation algorithm to ensure fairness for both producers and customers. The research finds that a customer-centric design may be unfair to producers, while a producer-centric design may be unfair to customers.
ACM TRANSACTIONS ON THE WEB
(2022)
Article
Management
Peng Shia
Summary: This paper compares different matchmaking strategies used by online platforms in terms of their efficiency, measured by the amount of communication needed to achieve a good market outcome. The study finds that the relative performance of these strategies depends on how easily the preferences of agents on each side of the market can be described. Based on information theory analysis, the paper provides prescriptive insights for online platforms, indicating that each matchmaking strategy can offer near-optimal performance guarantees in markets with suitable characteristics.
MANAGEMENT SCIENCE
(2023)
Article
Management
Brad N. Greenwood, Ritu Agarwal, Rajshree Agarwal, Anandasivam Gopal
MANAGEMENT SCIENCE
(2017)
Article
Management
Gordon Burtch, Seth Carnahan, Brad N. Greenwood
MANAGEMENT SCIENCE
(2018)
Review
Public, Environmental & Occupational Health
Hilal Atasoy, Brad N. Greenwood, Jeffrey Scott McCullough
ANNUAL REVIEW OF PUBLIC HEALTH, VOL 40
(2019)
Article
Management
Kartik K. Ganju, Hilal Atasoy, Jeffery McCullough, Brad Greenwood
MANAGEMENT SCIENCE
(2020)
Article
Multidisciplinary Sciences
Brad N. Greenwood, Rachel R. Hardeman, Laura Huang, Aaron Sojourner
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Health Care Sciences & Services
Gordon Burtch, Brad N. Greenwood, Jeffrey S. McCullough
Summary: Research shows that ride-hailing services are associated with an increase in binge drinking, particularly in high-density markets. This could lead to a rise in binge drinking rates within Metropolitan Statistical Areas, emphasizing the need for increased emphasis on the direct dangers of alcohol consumption and binge drinking.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Information Science & Library Science
Gorkem Turgut Ozer, Brad N. Greenwood, Anandasivam Gopal
Summary: This study investigates the effects of P2P lending platforms on local abortion rates and finds that their entry is associated with an increase in the rate at which women choose not to carry to term. The effects vary based on the characteristics of the local area, with stronger effects in more religious areas and areas with lower levels of education.
INFORMATION SYSTEMS RESEARCH
(2023)
Article
Management
Jing Gong, Brad N. Greenwood, Yiping (Amy) Song
Summary: This study examines the impact of ridesharing platforms on short-term vehicle purchasing. The findings suggest that the introduction of ridesharing platforms is associated with a short-term increase in private new vehicle ownership, indicating that consumers actively change their stock of held resources to capture excess rents offered by the platform. This effect is stronger among vehicle brands that qualify for the platform and in locations where established public transportation options are weaker.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Zhi (Aaron) Cheng, Brad N. Greenwood, Paul A. Pavlou
Summary: This research examines the impact of location-based mobile gaming, specifically Pokemon Go, on local trends in depression. The study finds that regions where users are able to play Pokemon Go experience a decrease in depression-related search, suggesting that location-based mobile games may alleviate mild depression symptoms.
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
(2022)
Article
Business
C. Jennifer Tae, Min-Seok Pang, Brad N. Greenwood
STRATEGIC MANAGEMENT JOURNAL
(2020)
Article
Information Science & Library Science
Brad N. Greenwood, Kartik K. Ganju, Corey M. Angst
INFORMATION SYSTEMS RESEARCH
(2019)
Article
Management
Brad N. Greenwood, Ritu Agarwal, Rajshree Agarwal, Anandasivam Gopal
ORGANIZATION SCIENCE
(2019)
Article
Multidisciplinary Sciences
Brad N. Greenwood, Seth Carnahan, Laura Huang
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2018)
Article
Computer Science, Information Systems
Brad N. Greenwood, Anandasivam Gopal
Article
Business
Seth Carnahan, Brad N. Greenwood
ADMINISTRATIVE SCIENCE QUARTERLY
(2018)