Using staggered adoption across departments at a large hospital, this study finds that tele-follow-up expands access to follow-up care, improves service efficiency, and generates positive spillovers for onsite visits. Greater continuity of care is also associated with lower readmission rates.
A randomized field experiment compares two penalties for late-arriving patients. Moving late patients to the end of the queue reduces tardiness and improves compliance with recommended arrival times, while a fixed-place penalty has little effect; a broader hospital implementation produces consistent results.
Using a staggered difference-in-differences design with matching, this study evaluates China's medical poverty alleviation program at an underresourced hospital. The program reduces service time and seven-day revisits, with stronger gains for less experienced physicians, assistant-experienced physicians, larger expert–physician experience gaps, and technologically complex departments.
This study models competition between an incumbent and a direct-selling entrant that bears integration costs. Stronger entrant integration can sometimes hurt both firms, while an incumbent's estimation bias can soften competition and, under some conditions, benefit both parties.
2026
Business Papers · Platforms & Retail · Supply Chains
A field implementation in convenience stores shows that a basic replenishment recommendation system improves service levels and substantially reduces managers' ordering time without increasing inventory. Managerial overrides complement the algorithm, especially for fast- and slow-moving products.
This article examines how emerging technologies reshape healthcare operations through process design, multi-level organizational alignment, and changing relationships among patients, clinicians, and technology. It develops a research agenda centered on adaptive implementation, governance, equity, and human agency.
2026
Business Papers · Platforms & Retail · Methods & Practice
This review organizes retail-platform analytics around demand-side management, supply-side management, and matching. It connects current platform practices with the operations literature and proposes research questions, data sources, and analytical directions for future work.
2026
Business Papers · Behavioral Operations · Supply Chains
A two-period newsvendor model studies demand created by referrals from prior customers. The analysis characterizes optimal inventory and the value of referral programs, showing that referrals are especially attractive for firms selling nonperishable products.
2025
Business Papers · Human-Centered AI · Behavioral Operations
Evidence from 220,085 call-center interactions shows that real-time algorithmic supervision improves customer satisfaction but reduces the number of customers served. The effects also differ by employee gender, indicating that algorithmic management changes both the quality–quantity tradeoff and the distribution of performance outcomes.
Drawing on operations-management collaborations, this article presents a five-phase framework for practitioner research: relationship building, stakeholder management, study design, implementation, and post-study management. It emphasizes trust, ethical sensitivity, academic rigor, and practical value.
This study analyzes sequential capacity allocation when sellers overestimate or underestimate future revenue. Mental-accounting bias changes allocation decisions and can make additional demand harmful, highlighting the need to address managerial bias before expanding a market.
2025
Business Papers · Supply Chains · Methods & Practice
This study develops a periodic-review lost-sales inventory model in which sales are observed but inventory is revealed only when it reaches zero. A dynamic-programming approach simplifies belief updating and produces lower-bound approximations that improve when inventory variance is incorporated.
2025
Business Papers · Supply Chains · Methods & Practice
B2B field experiments during COVID-19 show that suppliers quote shorter lead times when purchases are intended for donation or when severe local crisis information is provided. A later experiment finds that the donation effect persists in the new normal, while the effect of crisis information fades.
2025
Business Papers · Platforms & Retail · Supply Chains
This study examines how strategic consumers affect an e-tailer's choices of warehouse location, price, and inventory. Local storage can encourage customers to wait for discounts, yet carefully distributing stock across central and local warehouses can be valuable when demand uncertainty is lower.
A healthcare-platform field experiment shows that smarter AI assistants are adopted more often and sooner by physicians. Transparency accelerates adoption and raises adoption rates mainly when the assistant lacks machine-learning intelligence.
2024
Business Papers · Human-Centered AI · Methods & Practice
Reviewing AI research published from 2010 to 2023 in 25 leading business journals, this article organizes the literature around AI applications, human perceptions of AI, and AI behavior. It identifies major research questions involving human–AI interaction, bias, and future business applications.
2024
Business Papers · Platforms & Retail · Methods & Practice
This study analyzes dynamic pricing for vertically differentiated products when customer preferences evolve according to an unknown Markov process. It shows the value of learning in changing markets and develops a bounded policy with near-optimal performance.
This paper studies how a supplier's capacity bottleneck affects downstream information sharing and operational decisions. It identifies when disseminating information changes competition and coordination across the supply chain.
2023
Business Papers · Platforms & Retail · Supply Chains
In a model of two retailers competing on product availability, reducing one retailer's demand uncertainty can move its inventory away from the demand mean. Better information raises that retailer's profit while reducing its competitor's profit.
This article reviews the role of field experiments in operations management and explains how they can establish causal evidence in real operating environments. It discusses research design, implementation challenges, and opportunities for closer collaboration with organizations.
A firm continuously evaluates a product while information arrives at a stochastic, mean-reverting rate. The study characterizes the optimal stopping region and develops accurate approximation and heuristic methods for deciding when evaluation should end.
2023
Business Papers · Platforms & Retail · Behavioral Operations
The model examines how managers become less responsive after a forecaster's earlier recommendation proves suboptimal. Although this cry-wolf effect usually lowers performance, it can motivate greater forecasting investment and sometimes improve outcomes for both the manufacturer and forecaster.
A seller with limited inventory prices dynamically while comparing chosen prices with forgone alternatives. Regret lowers prices relative to an unbiased seller, preserves familiar inventory and time patterns, and can make additional inventory fail to increase revenue.
2022
Business Papers · Human-Centered AI · Behavioral Operations · Supply Chains
This study examines automation of a regret-biased retailer's ordering decision in a decentralized supply chain. Removing bias can improve standalone decisions yet harm coordination, and under some conditions automation leaves both retailer and supplier worse off.
2022
Business Papers · Human-Centered AI · Supply Chains
A field experiment studies how buyers' disclosed use of AI affects suppliers' quotations. AI-assisted procurement changes supplier pricing behavior and the value of disclosure, offering guidance on when buyers should reveal their use of decision technologies.
2021
Business Papers · Supply Chains · Behavioral Operations
This paper jointly studies manufacturer and retailer return policies. A manufacturer's full-credit policy can induce retailers to offer consumer returns, and competition among retailers can make accepting returns beneficial to the manufacturer.
2021
Business Papers · Supply Chains · Platforms & Retail
This study investigates wholesale-price discrimination in global sourcing and identifies how supplier and buyer characteristics shape quoted prices. The evidence clarifies when business-to-business price differences reflect market structure and bargaining conditions.
2021
Business Papers · Behavioral Operations · Supply Chains
Although transshipment normally pools inventory risk, this study shows that overconfident newsvendors can perform worse when transshipment is available. The result remains robust when other behavioral biases are included and is supported by controlled experiments.
2020
Business Papers · Platforms & Retail · Supply Chains
A natural experiment involving the temporary removal of SF Express from Alibaba shows that losing a high-quality delivery option reduces sales and changes the sales mix. The effect is strongest for popular, expensive, and less-discounted products.
This study develops a strategic model of incumbent responses to entry when repositioning is costly and decision makers are biased. Repositioning costs and biased beliefs alter equilibrium strategies, competitive dynamics, and the profits of incumbents and entrants.
2019
Business Papers · Behavioral Operations · Supply Chains
Overconfidence always reduces profit in a centralized channel, but it can mitigate double marginalization in a decentralized channel. Under some conditions, the bias improves total channel performance and benefits one or both channel members.
2018
Business Papers · Platforms & Retail · Supply Chains
A supply-chain model compares customer search with inventory transshipment between retailers. It characterizes how the transshipment price, search probability, and bargaining power determine retailer and manufacturer preferences and profits.
This technical note studies how reducing demand uncertainty affects inventory decisions in a decentralized supply chain. It identifies how contracting and channel interactions can make the value of better demand information differ from the familiar centralized setting.
2017
Business Papers · Behavioral Operations · Supply Chains
This paper analyzes inventory competition among newsvendors who underestimate demand uncertainty. It shows how overconfidence changes stocking decisions, competitive behavior, and performance relative to unbiased decision makers.
2016
Business Papers · Supply Chains · Methods & Practice
This study considers inventory systems where sales are recorded but unmet demand is unobserved. It develops a dynamic model that updates beliefs about inventory and demand using sales and stockout information and characterizes effective replenishment policies.
2016
Business Papers · Supply Chains · Methods & Practice
The paper compares a centralized mainstream firm with a decentralized 'bandit' supply chain competing on price and quality. Decentralization can soften competition, encourage free-riding, and under some conditions produce higher quality or benefit the mainstream firm.
2014
Business Papers · Supply Chains · Methods & Practice
This article analyzes a lost-sales inventory system with partially observed demand and unobserved shrinkage before and after demand. It formulates dynamic programs for tractable cases and develops an iterative policy that performs close to an analytical lower bound.
2013
Business Papers · Supply Chains · Methods & Practice
For a periodic-review inventory system with lost demand and shrinkage, the study transforms nonlinear belief updates into a linear form using unnormalized conditional probabilities. It establishes existence and uniqueness results for the associated Bellman equation.
In a two-location inventory system, pooling is shown to improve Type-I service levels at both locations. A counterexample demonstrates that pooling can nevertheless reduce Type-II service levels.
Using nationwide Chinese search data, this study finds that air pollution causally worsens mental health and that longer exposure strengthens the effect. Impacts vary across demographic groups and are smaller in cities with stronger economic, health, green-space, and sports resources.
A large review of Management Science articles finds that computational reproducibility improved substantially after the journal introduced a data-and-code disclosure policy. Remaining failures are driven largely by inaccessible data, missing or faulty code, limited documentation, and technical requirements.
This chapter develops a general method for discrete-time stochastic control under partial observation. An inventory application uses unnormalized conditional probabilities to linearize state evolution and establish existence and uniqueness for the Bellman equation.
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Book Chapters · Human-Centered AI · Methods & Practice
This review synthesizes research on artificial intelligence in operations management and organizes opportunities for future inquiry. It highlights how AI changes operational decisions, human–technology interaction, implementation, and research methods.