A uni­fy­ing theme of my research is how oper­a­tional constraints/frictions inter­act with strate­gic deci­sion-mak­ing. I gained this per­spec­tive through work­ing in the health­care domain, where I came to real­ize that indi­vid­u­als and orga­ni­za­tions rarely make deci­sions in a free-form fash­ion. Rather, they oper­ate under con­vo­lut­ed and evolv­ing con­straints that define the health­care ecosys­tem. This real­iza­tion has led me to study top­ics at the macro (pol­i­cy mod­el­ing), meso (sup­ply-chain con­tract­ing), and micro (physi­cian behav­ior) levels:

• At the macro lev­el, my health­care research on pol­i­cy mod­el­ing is relat­ed to organ trans­plan­ta­tion. I have stud­ied organ dona­tion, which is essen­tial to expand organ sup­ply but has received lit­tle atten­tion from the organ trans­plan­ta­tion lit­er­a­ture that focus­es on organ allo­ca­tion. I’ve also added to the empir­i­cal under­pin­ning of the organ trans­plan­ta­tion lit­er­a­ture, which had pre­vi­ous­ly been large­ly the­o­ret­i­cal. My work helps inform pol­i­cy­mak­ers by high­light­ing oper­a­tional con­straints threat­en­ing to hold back the organ trans­plan­ta­tion sys­tem that is not ready to accom­mo­date new policies.
• At the meso lev­el, health­care orga­ni­za­tions’ deci­sions, espe­cial­ly those relat­ed to sup­ply-chain con­tract­ing, inter­act with logis­tics con­straints. In the case of the US influen­za vac­cine sup­ply chain, I have stud­ied how a key oper­a­tional metric—on-time deliv­ery performance—molds the inter­ac­tion between health­care providers and phar­ma­ceu­ti­cal firms. I have also stud­ied an inno­v­a­tive Net­flix-like con­tract­ing mod­el through which health­care providers gain wider access to pre­scrip­tion drugs essen­tial to pub­lic health. Recent­ly, amid the COVID-19 pan­dem­ic, my work reveals how a lack of data avail­abil­i­ty has con­tributed to short­ages of per­son­al pro­tec­tive equip­ment (PPE).
• At the micro lev­el, physi­cians make impor­tant resource-pro­vi­sion deci­sions. Accord­ing­ly, my work at this lev­el focus­es on mod­el­ing physi­cian behav­ior. The top­ics I have stud­ied include physi­cians’ test-order­ing behav­ior in an out­pa­tient set­ting, in which they choose the inten­si­ty of care based on clin­i­cal, finan­cial, and oper­a­tional con­sid­er­a­tions. Anoth­er top­ic involves diag­nos­ti­cians who rely on refer­rals from their peers and hence have rep­u­ta­tion­al con­cerns. I show diag­nos­ti­cians may strate­gi­cal­ly under-test to sig­nal their skill lev­els. In an inter­ven­tion­al car­di­ol­o­gy set­ting, I have stud­ied how physi­cians deter­mine their diag­nos­tic path­ways when more advanced tests reduce clin­i­cal uncer­tain­ty but may hurt their revenues.

While focus­ing on health­care, my the­o­ret­ic inter­est in infor­ma­tion eco­nom­ics has led me to con­tribute to the mar­ket­ing-oper­a­tions inter­faces lit­er­a­ture: In con­trast to this lit­er­a­ture that focus­es on how mar­ket­ing con­sid­er­a­tions influ­ence oper­a­tional deci­sions, I study how oper­a­tional con­straints influ­ence mar­ket­ing deci­sions. In a series of papers pub­lished in 2013, 2016, and 2019, I have chal­lenged the assump­tion that the sup­ply is unbound­ed and shown the strik­ing strate­gic role of lim­it­ed inven­to­ry in incen­tive design. More recent­ly, I have stud­ied an oper­a­tions-mar­ket­ing mul­ti­task­ing prob­lem moti­vat­ed by the retail setting.

Below are sev­er­al links via which you may dis­cov­er more about my research:

 

 

‣ Tin­g­long Dai. 2024. To Make Effec­tive AI Pol­i­cy You Must Trust Those Who’ve Been There. Fed­er­al News Net­work. June 11.

‣ Tin­g­long Dai, Michael Abramoff. 2024. Toward a Sci­ence of Scal­ing Med­ical Arti­fi­cial Intel­li­gence. Med­ical Eco­nom­ics. June 7.

‣ Tin­g­long Dai. 2024. His­to­ry Says Tar­iffs Rarely Work, but Biden’s 100% Tar­iffs on Chi­nese EVs Could Defy the Trend. The Con­ver­sa­tion. May 17.

‣ Kofi Arhin, Tin­g­long Dai. 2024. The Class of 2024 and the Art of Gen­er­a­tive AI. Inno­va­tion & Tech Today. May 1.

‣ Yuna Nakaya­su, Tin­g­long Dai. 2024. Tak­ing Geo­graph­i­cal Luck Out of Emer­gency Care With AI: Gen­er­a­tive AI With Vision Will Be Essen­tial to the Future of Emer­gency Med­i­cine. EMS1. April 29.

‣ Tin­g­long Dai. 2024. Despite Fears, Sup­ply-Chain Cri­sis from Key Bridge Col­lapse Can Be Avert­ed. Bal­ti­more Ban­ner. March 28.

‣ Tej D. Azad, Tin­g­long Dai. 2024. Do No Harm — The Imper­a­tive for Pur­pose­ful AI Reg­u­la­tion in Health Care. Med­ical Eco­nom­ics. March 21.

‣ Tin­g­long Dai. 2023. U.S. Needs to Shore Up Med­ical Device Man­u­fac­ture or Risk Vul­ner­a­bil­i­ty in Times of Cri­sis. Bal­ti­more Sun. Decem­ber 26.

‣ Tin­g­long Dai, Christo­pher S. Tang, Hau Lee. 2023. LEGO’s ESG Dilem­ma: Why an Aban­doned Plan to Use Recy­cled Plas­tic Bot­tles Is a Wake-Up Call for Sup­ply Chain Sus­tain­abil­i­ty. The Con­ver­sa­tion. Octo­ber 5.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2023. Chi­na Derisk­ing Is Inevitable. To Min­i­mize the Pain, Sup­ply Chains Need a Rev­o­lu­tion. Bar­ron’s. Sep­tem­ber 6.

‣ Tin­g­long Dai. 2023. The Role of Arti­fi­cial Intel­li­gence in Man­ag­ing Post­pan­dem­ic Sup­ply-Chain Risks. Bio­Process Inter­na­tion­al 21(7–8), 56.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2023. America’s Shaky Phar­ma­ceu­ti­cal Sup­ply Chain Is a Pre­scrip­tion for Dis­as­ter. Bar­ron’s. June 28.

‣ Tin­g­long Dai. 2023. Gen­er­a­tive AI Is Not Enter­tain­ment — It Is Already a Threat to Our Way of Life. The Hill. June 10.

‣ Tin­g­long Dai. 2023. Is It Legal for Gen­er­a­tive AI to Use Copy­right­ed Mate­r­i­al with­out Per­mis­sion? CQ Researcher. April 21.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2022. China’s Sud­den Shift on Zero-Covid Puts Sup­ply Chains at Risk Again. Bar­ron’s. Decem­ber 14.

‣ Lau­ren Mur­phy, Tin­g­long Dai. 2022. Pri­or­i­tiz­ing Women Sup­ply Chain Work­ers in ESG Efforts. Bloomberg Law. Novem­ber 17.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2022. Every­body Talks About Made in Amer­i­ca. But It Isn’t That Sim­ple. Wall Street Jour­nal. Octo­ber 23.

‣ Tin­g­long Dai, Ho-Yin Mak, Christo­pher S. Tang. 2022. Mak­ing EVs With­out China’s Sup­ply Chain Is Hard, but Not Impossible—3 Sup­ply Chain Experts Out­line a Strat­e­gy. The Con­ver­sa­tion. August 31.

◦ Repub­lished in Mar­ket­Watch

‣ Tin­g­long Dai, Ho-Yin Mak, Christo­pher S. Tang. 2022. With Mon­key­pox, the U.S. Is Repeat­ing Its Covid Sup­ply-Chain Mis­takes. Bar­ron’s. August 19.

‣ Tin­g­long Dai, Kara Mor­gan. 2022. In Fight Against Mon­key­pox, Gov­ern­ment Isn’t Learn­ing From Past Expe­ri­ence. Chica­go Sun-Times. August 6.

‣ Tin­g­long Dai, Kara Mor­gan. 2022. The Food Safe­ty Sys­tem Is Fail­ing. Indus­try Week. July 13.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2022. The Baby For­mu­la Cri­sis Shows the Urgent Need to Fix Sup­ply Chain Resilience. Bar­ron’s. June 2.

‣ Tin­g­long Dai. 2022. Sup­ply Chain Trans­paren­cy: A Growth Engine in the Wake of Crises. CEVA Insights. April 19.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2022. It’s the End of the Glob­al Sup­ply Chain as We Know It. Newsweek. April 19.

‣ Tin­g­long Dai. 2022. Russia’s War With Ukraine Could Per­ma­nent­ly Reshape the Glob­al Sup­ply Chain. Fast Com­pa­ny. March 15

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on March 11, 2022, with the title of “Ukraine War and Anti-Rus­sia Sanc­tions on Top of COVID-19 Mean Even Worse Trou­ble Lies Ahead for Glob­al Sup­ply Chains”

‣ Loges­var Bal­agu­ru, Chen Dun, Andrea Mey­er, Sanuri Hen­nayake, Christi Walsh, Christo­pher Kung, Brit­tany Cary, Frank Migliarese, Tin­g­long Dai, Ge Bai, Kath­leen Sut­cliffe, Mar­tin Makary. 2022. NIH Fund­ing of COVID-19 Research in 2020: A Cross Sec­tion­al Study. BMJ Open 12(5), e059041. http://dx.doi.org/10.1136/bmjopen-2021–059041

◦ Fea­tured by New York Times

‣ Tin­g­long Dai, Christo­pher S. Tang. 2022. Inte­grat­ing ESG Mea­sures and Sup­ply Chain Man­age­ment: Research Oppor­tu­ni­ties in the Post-Pan­dem­ic Era. Ser­vice Sci­ence 14 (1): 1–12. https://doi.org/10.1287/serv.2021.0295. [lead article]

‣ Tin­g­long Dai, Shubhran­shu Singh. 2022. Over­diag­no­sis and Under­test­ing for Infec­tious Dis­eases. Johns Hop­kins Uni­ver­si­ty Work­ing Paper. Jan­u­ary 21. https://doi.org/10.2139/ssrn.3725057.

◦ Fea­tured by New York Times and VoxEU
◦ Select­ed by COVID Eco­nom­ics as lead arti­cle of Issue 58

‣ Tin­g­long Dai, Christo­pher S. Tang. 2022. Uni­fy­ing ESG and Sup­ply Chain Think­ing: An Urgent Call to Action in the Post-Pan­dem­ic Era. Asia­Glob­al Papers No. 5. Jan­u­ary 6. Asia Glob­al Insti­tute, Uni­ver­si­ty of Hong Kong.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2021. The Infra­struc­ture Bill Is Here. Can Amer­i­ca Still Do Megapro­jects?. Bar­ron’s. Novem­ber 16.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2021. ESG Invest­ing Has a Blind Spot That Puts the $35 Tril­lion Industry’s Sus­tain­abil­i­ty Promis­es in Doubt: Sup­ply Chains. The Con­ver­sa­tion. Novem­ber 9.

‣ Tin­g­long Dai, Kate Dwyer. 2021. Q+A: Sup­ply Chain Issues Spike Shop­pers’ Demands. The Hub (Johns Hop­kins Uni­ver­si­ty). Novem­ber 1.

‣ Dan Lil­jen­quist, Tin­g­long Dai, Ge Bai. 2021. A Non­prof­it Pub­lic Util­i­ty Approach to Enhance Next-Gen­er­a­tion Vac­cine Man­u­fac­tur­ing Capac­i­ty. Pop­u­la­tion Health Man­age­ment 24(5), 546–547.

‣ Ravi Mit­tal, Surb­hi Jain, Christo­pher G. Myers, Tin­g­long Dai, Amit Jain. 2021. A 100% COVID Vac­ci­na­tion Rate Is Pos­si­ble – We Did It: The Raigarh Suc­cess Sto­ry Shows the Pow­er of Behav­ioral and Moti­va­tion­al Strate­gies. Med­Page Today. Octo­ber 22.

‣ Shel­don H. Jacob­son, Tin­g­long Dai. 2021. Lessons Learned From Hur­ri­cane Recov­ery Can Improve Sup­ply Chains. The Hill. Sep­tem­ber 27.

‣ Tin­g­long Dai, Jean­nette Song. 2021. Trans­form­ing COVID-19 Vac­cines into Vac­ci­na­tion: Chal­lenges and Oppor­tu­ni­ties for Man­age­ment Sci­en­tists. Health Care Man­age­ment Sci­ence (3): 455–59. https://doi.org/10.1007/s10729-021–09563‑3. [lead article]

‣ Amit Jain, Tin­g­long Dai, Christo­pher G. Myers, Pun­ya Jain, Shru­ti Aggar­w­al. 2021. Pri­ori­tis­ing Sur­gi­cal Cas­es Deferred by the COVID-19 Pan­dem­ic: An Ethics-Inspired Algo­rith­mic Frame­work for Health Lead­ers. BMJ Leader  5(2), 124–126.

‣ Huaiyang Zhong, Gui­hua Wang, Tin­g­long Dai. 2021. Wheels on the Bus: Impact of Vac­cine Roll­outs on Demand for Pub­lic Trans­porta­tion. Johns Hop­kins Uni­ver­si­ty Work­ing Paper. June 25.

‣ Ho-Yin Mak, Tin­g­long Dai, Christo­pher S. Tang. 2021. Man­ag­ing Two-Dose COVID-19 Vac­cine Roll­outs with Lim­it­ed Sup­ply. Work­ing paper. Revised on June 22.

‣ Gui­hua Wang, Tin­g­long Dai. 2021. Does a Ris­ing Tide Lift All Boats? Kid­ney Trans­plan­ta­tion through Surgery Sus­pen­sion and Resump­tion. Johns Hop­kins Uni­ver­si­ty Work­ing Paper. April 12.

‣ Tin­g­long Dai. 2021. Why John­son & John­son Throw­ing Out 15 Mil­lion COVID-19 Vac­cine Dos­es Shouldn’t Scare You. The Con­ver­sa­tion, April 1.

‣ Tin­g­long Dai, Christo­pher S. Tang, Ho-Yin Mak. 2021. Opin­ion: The Back­lash Against John­son & Johnson’s COVID-19 Vac­cine Is Real and Risky — Here’s Exact­ly How To Make the Roll­out a Suc­cess. Mar­ket­Watch. March 10.

◦ Read more than 700,000 times across The Con­ver­sa­tion and Mar­ket­Watch, among oth­er outlets

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on March 5, 2021, with the title of “Back­lash Against John­son & Johnson’s COVID-19 Vac­cine Is Real and Risky – Here’s How To Make Its Roll­out a Suc­cess”

‣ Tin­g­long Dai, Ho-Yin Mak, Christo­pher S. Tang. 2021. The Great Promise of a One-Dose Vac­cine. Bar­ron’s. Feb­ru­ary 26.

‣ Tin­g­long Dai. 2021. How To Fix the Mess of COVID-19 Vac­cine Appoint­ment Sched­ul­ing. Fast Com­pa­ny. Feb­ru­ary 23.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on Feb­ru­ary 22, 2021, with the title of “How To Real­ly Fix COVID-19 Vac­cine Appoint­ment Scheduling”

◦ Repub­lished in The Dai­ly Beast, Mar­ket­Watch, Nextgov, and Yahoo! News

‣ Tin­g­long Dai. 2021. The US Government’s $44 Mil­lion Vac­cine Roll­out Web­site Was a Pre­dictable Mess – Here’s How To Fix the Bro­ken Process Behind It. The Con­ver­sa­tion. Feb­ru­ary 4.

‣ Tin­g­long Dai. 2021. The Sim­ple Rea­son West Vir­ginia Leads the Nation in Vac­ci­nat­ing Nurs­ing Home Res­i­dents. The Asso­ci­at­ed Press. Jan­u­ary 29.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on Jan­u­ary 14, 2021

◦ Repub­lished in Fast Com­pa­ny, Quartz, and U.S. News & World Report

‣ Tin­g­long Dai, Prashant Yadav. 2021. Why Hold­ing Sec­ond Dos­es of COVID-19 Vac­cines in Reserve Is the Wrong Strat­e­gy. USA Today. Jan­u­ary 12.

◦ Pub­lished in the nation­al print edi­tion (Jan­u­ary 13, page 7A) with the title of “Release Sec­ond Dos­es To Speed Vaccinations”

‣ Sar­a­lyn Cruick­shank, Tin­g­long Dai. 2021. Q+A: Mak­ing Sense of the Lag­ging U.S. COVID-19 Vac­ci­na­tion Effort. The Hub (Johns Hop­kins Uni­ver­si­ty). Jan­u­ary 8.

‣ Tin­g­long Dai, Muham­mad H. Zaman, William Padu­la, Patri­cia M. David­son. 2021. Sup­ply Chain Fail­ures Amid Covid-19 Sig­nal a New Pil­lar for Glob­al Health Pre­pared­ness. Jour­nal of Clin­i­cal Nurs­ing, 30(1–2), e1-e3.

‣ Tin­g­long Dai, Shubhran­shu Singh. 2020. COVID-19 Diag­nos­tic Test­ing and Viral Load Report­ing. VoxEU.org. Decem­ber 23.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. How to Dis­trib­ute the COVID-19 Vac­cine: Lessons From Ama­zon and Wal­mart. Fast Com­pa­ny. Decem­ber 16.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on Decem­ber 15, 2020, with the title of “What Vac­cine Dis­tri­b­u­tion Plan­ners Can Learn From Ama­zon and Walmart”

◦ Repub­lished in Nation­al Inter­est, Quartz, Salon, and Scroll.in

◦ Trans­lat­ed to Span­ish and pub­lished in El Financiero and The Logis­tics World 

‣ Tin­g­long Dai, Patrick Ercolano. 2020. Q+A: The Busi­ness of Deliv­er­ing a Pan­dem­ic Vac­cine. The Hub (Johns Hop­kins Uni­ver­si­ty). Decem­ber 4.

‣ Tin­g­long Dai, Gui­hua Wang, Ronghuo Zheng. 2020. How the Air­line Indus­try Recov­ers From COVID-19 Could Deter­mine Who Gets Organ Trans­plants. The Con­ver­sa­tion. Sep­tem­ber 28.

◦ Based on the paper enti­tled “Does Trans­porta­tion Mean Trans­plan­ta­tion? Impact of New Air­line Routes on Shar­ing of Cadav­er­ic Kid­neys”

◦ Repub­lished by Asso­ci­at­ed Press, Austin’ NPR Station—KUT, Hous­ton Chron­i­cle, Pub­lic Radio Inter­na­tion­al, Nation­al Inter­est, Sim­ple Fly­ing, and Yahoo! News

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Safe­ty First for Online Mar­kets, or Cus­tomers May Shop Else­where. Bar­ron’s. August 25. (Repub­lished in Mar­ket­Watch.)

‣ Amit Jain, Tin­g­long Dai, Kristin Bibee, Christo­pher G. Myers. 2020. Covid-19 Cre­at­ed an Elec­tive Surgery Back­log. How Can Hos­pi­tals Get Back on Track? Har­vard Busi­ness Review. August 10 (PDF).

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Ama­zon Has a Trust Prob­lem. Bar­ron’s. August 7. (Repub­lished in Mar­ket­Watch.)

‣ Ge Bai, Tin­g­long Dai, Shiv­aram Raj­gopal. 2020. The PPE Sup­ply Chain Is a Black Box—That Needs to Change. For­tune. July 25.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. How to Build a Coro­n­avirus Vac­cine Sup­ply Chain. Bloomberg Law. July 21.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Influen­za Vac­cine Sup­ply Chain Lessons for Coro­n­avirus. Bloomberg Law. July 21.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Too Fast, Too Furi­ous: Is U.S. Vac­cine Devel­op­ment Head­ed in the Wrong Direc­tion? Bar­ron’s. July 16. (Repub­lished in Mar­ket­Watch.)

‣ Tin­g­long Dai, Ge Bai, Ger­ard Ander­son. 2020. PPE Sup­ply Chain Needs Data Trans­paren­cy and Stress Test­ing. Jour­nal of Gen­er­al Inter­nal Med­i­cine 35(9), 2748–2749.

◦ Alt­met­ric = 230 (as of July 2020); ranked No. 2 (the 98th per­centile) of the 131 tracked arti­cles of a sim­i­lar age in Jour­nal of Gen­er­al Inter­nal Med­i­cine and the 98th per­centile of the 219,632 arti­cles of a sim­i­lar age in all journals

‣ Tin­g­long Dai. 2020. Where Does Your PPE Come From? A Lack of Trans­paren­cy Is Hurt­ing Amer­i­cans. Fast Com­pa­ny. July 15.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on July 13, 2020, under the title of “What US Med­ical Sup­ply Chain Can Learn From the Fash­ion Indus­try”; also repub­lished in Yahoo! News, Scroll.in, Mic, and Hous­ton Chronicle

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. The U.S. Med­ical Sup­ply Chain Isn’t Ready for a Sec­ond Wave. Bar­ron’s. June 24. Fea­tured Arti­cle. (Repub­lished in Mar­ket­Watch.)

‣ Thorsten Wuest, Andrew Kusi­ak, Tin­g­long Dai, Srid­har Tayur. 2020. Impact of COVID-19: The Case for AI-Inspired Dig­i­tal Trans­for­ma­tion. OR/MS Today. 47 (3) 34–39.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Need­ed: A PPE Indus­tri­al Com­mons. EE Times. May 27.

‣ Tin­g­long Dai, Ash­ley Kil­go­re, Srid­har Tayur. 2020. From Prod­ucts to Peo­ple: The Grow­ing Impact of Sup­ply Chain Inter­rup­tions dur­ing the Coro­n­avirus Pan­dem­ic. Resound­ing­ly Human Pod­cast (INFORMS). March 18.

‣ Gok­er Aydin, Tin­g­long Dai, Tim Par­sons. 2020. Q+A: How Coro­n­avirus Will Affect the Glob­al Sup­ply Chain. The Hub (Johns Hop­kins Uni­ver­si­ty). March 6.

 

 

Healthcare

‣ Adi­da, Elodie, and Tin­g­long Dai. 2024. “Impact of Physi­cian Pay­ment Scheme on Diag­nos­tic Effort and Test­ing.” Man­age­ment Sci­ence 70(8): 5408–5425. https://doi.org/10.1287/mnsc.2023.4937.

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2024. “Over­diag­no­sis and Under­test­ing for Infec­tious Dis­eases.” Mar­ket­ing Sci­ence, forth­com­ing. https://doi.org/10.1287/mksc.2022.0038.

◦ Fea­tured by New York Times and VoxEU
◦ Select­ed by COVID Eco­nom­ics as lead arti­cle of Issue 58

‣ Abramoff, Michael, Tin­g­long Dai, and James Zou. 2024. Scal­ing Adop­tion of Med­ical Arti­fi­cial Intel­li­gence: Reim­burse­ment from Val­ue-Based Care and Fee-for-Ser­vice Per­spec­tives. NEJM AI 1(5): AIpc2400083. http://doi.org/10.1056/AIpc2400083. [PDF]

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2024. “Arti­fi­cial Intel­li­gence on Call: The Physi­cian’s Deci­sion of Whether to Use AI in Clin­i­cal Prac­tice.” Work­ing paper. http://doi.org/10.2139/ssrn.3987454.

‣ Wang, Gui­hua, Min­min Zhang, and Tin­g­long Dai. 2024. “The Spillover Effect of Sus­pend­ing Non-essen­tial Surgery: Evi­dence from Kid­ney Trans­plan­ta­tion.” Work­ing paper. https://doi.org/10.2139/ssrn.3719662.

‣ Lai, Jiayi, Leon Xu, Xin Fang, and Tin­g­long Dai. 2024. “Reg­u­lat­ing Adap­tive Med­ical Arti­fi­cial Intel­li­gence: Can Less Over­sight Lead to Greater Com­pli­ance?” Work­ing paper.

‣ Dai, Tin­g­long, and Michael D. Abramoff. 2023. “Incor­po­rat­ing Arti­fi­cial Intel­li­gence into Health­care Work­flows: Mod­els and Insights.” INFORMS TutO­Ri­als in Oper­a­tions Research, 133–155. https://ssrn.com/abstract=4470962.

‣ Abramoff, Michael D., Noelle White­stone, Jen­nifer L. Pat­naik, Emi­ly Rich, Munir Ahmed, Lut­ful Husain, Moham­mad Yead­ul Has­san, Md. Sajidul Huq Tan­jil, Dena Weitz­man, Tin­g­long Dai, Brandie D. Wag­n­er, David H. Cher­wek, Nathan Con­g­don & Khair­ul Islam. 2023. “Autonomous Arti­fi­cial Intel­li­gence Increas­es Real-World Spe­cial­ist Clin­ic Pro­duc­tiv­i­ty in a Clus­ter-Ran­dom­ized Tri­al.” npj Dig­i­tal Med­i­cine 6: 184. https://www.nature.com/articles/s41746-023–00931‑7

‣ Wang, Gui­hua, Ronghuo Zheng, and Tin­g­long Dai. 2022. “Does Trans­porta­tion Mean Trans­plan­ta­tion? Impact of New Air­line Routes on Shar­ing of Cadav­er­ic Kid­neys.” Man­age­ment Sci­ence 68(5): 3660–3679. https://doi.org/10.1287/mnsc.2021.4103.

◦ Fea­tured in Nobel lau­re­ate Al Roth’s Mar­ket Design blog
◦ Select­ed by Finan­cial Times as a run­ner-up for the 2022 Respon­si­ble Busi­ness Edu­ca­tion Awards
◦ Fea­tured by Asso­ci­at­ed Press, Austin’ NPR Station—KUT, The Con­ver­sa­tion, Finan­cial Times, Pub­lic Radio Inter­na­tion­al, Nation­al Inter­est, Sim­ple Fly­ing, and Yahoo! News

‣ Mak, Ho-Yin, Tin­g­long Dai, and Christo­pher S. Tang. 2022. “Man­ag­ing Two-Dose COVID-19 Vac­cine Roll­outs with Lim­it­ed Sup­ply: Oper­a­tions Strate­gies for Dis­trib­ut­ing Time-Sen­si­tive Resources.” Pro­duc­tion and Oper­a­tions Man­age­ment 31 (12): 4424–4442. https://doi.org/10.1111/poms.13862.

‣ Dai, Tin­g­long, Xiao­fang Wang, and Chao-Wei Hwang. 2022. “Clin­i­cal Ambi­gu­i­ty and Con­flicts of Inter­est in Inter­ven­tion­al Car­di­ol­o­gy Deci­sion Mak­ing.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 24(2): 864–882. https://doi.org/10.1287/msom.2021.0969.

◦ Johns Hop­kins Dis­cov­ery Award, 2015

◦ Pro­duc­tion and Oper­a­tions Man­age­ment Soci­ety (POMS) Best Health­care Paper Award (Run­ner-Up), 2016

‣ Dai, Tin­g­long, and Srid­har Tayur. 2022. “Design­ing AI-aug­ment­ed Health­care Deliv­ery Sys­tems for Physi­cian Buy-in and Patient Accep­tance.” Pro­duc­tion and Oper­a­tions Man­age­ment, 31 (12): 4443–4451. https://doi.org/10.1111/poms.13850.

‣ Ahma­di, Farzin, Tin­g­long Dai, and Kimia Ghoba­di. 2022. “You are What You Eat: A Pref­er­ence-Aware Inverse Opti­miza­tion Approach.” Work­ing paper. http://doi.org/10.2139/ssrn.4298746.

‣ Zhong, Huaiyang, Gui­hua Wang, and Tin­g­long Dai. 2023. “Wheels on the Bus: Impact of Vac­cine Roll­outs on Demand for Pub­lic Trans­porta­tion.” Work­ing paper. https://doi.org/10.2139/ssrn.3874150.

‣ Dai, Tin­g­long, and Jing-Sheng Song. 2021. “Trans­form­ing COVID-19 Vac­cines into Vac­ci­na­tion.” Health Care Man­age­ment Sci­ence 24 (3): 455–459. https://doi.org/10.1007/s10729-021–09563‑3. [lead article]

‣ Jain, Amit, Tin­g­long Dai, Kristin Bibee, and Christo­pher G. Myers. 2020. “Covid-19 Cre­at­ed an Elec­tive Surgery Back­log. How Can Hos­pi­tals Get Back on Track?” Har­vard Busi­ness Review, August 10, 2020. https://hbr.org/2020/08/covid-19-created-an-elective-surgery-backlog-how-can-hospitals-get-back-on-track.

‣ Dai, Tin­g­long, and Srid­har Tayur. 2020. “OM Forum—Healthcare Oper­a­tions Man­age­ment: A Snap­shot of Emerg­ing Research.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 22 (5): 869–887. https://doi.org/10.1287/msom.2019.0778. [lead article]

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2020. “Con­spic­u­ous by Its Absence: Diag­nos­tic Expert Test­ing Under Uncer­tain­ty.” Mar­ket­ing Sci­ence 39 (3): 540–563. https://doi.org/10.1287/mksc.2019.1201.

◦ Fea­tured by Agency for Health­care Research and Qual­i­ty, Hub of Johns Hop­kins Uni­ver­si­ty and INFORMS Pod­cast

‣ Dai, Tin­g­long, Ronghuo Zheng, and Katia Sycara. 2020. “Jump­ing the Line, Char­i­ta­bly: Analy­sis and Rem­e­dy of Donor-Pri­or­i­ty Rule.” Man­age­ment Sci­ence 66 (2): 622–641. https://doi.org/10.1287/mnsc.2018.3266.

◦ 2017 INFORMS Pub­lic Sec­tor Oper­a­tions Research Best Paper Award (First Place Winner)

‣ Dai, Tin­g­long, Kel­ly Glea­son, Chao‐Wei Hwang, and Patri­cia David­son. 2019. “Heart Ana­lyt­ics: Ana­lyt­i­cal Mod­el­ing of Car­dio­vas­cu­lar Care.” Naval Research Logis­tics 68 (1): 30–43. https://doi.org/10.1002/nav.21880.

‣ Dai, Tin­g­long, Mustafa Akan, and Srid­har Tayur. 2017. “Imag­ing Room and Beyond: The Under­ly­ing Eco­nom­ics Behind Physi­cians’ Test-Order­ing Behav­ior in Out­pa­tient Ser­vices.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 19 (1): 99–113. https://doi.org/10.1287/msom.2016.0594.

◦ 2012 POMS Best Health­care Paper Award (First Place Winner)

‣ Dai, Tin­g­long, Soo-Haeng Cho, and Fuqiang Zhang. 2016. “Con­tract­ing for On-Time Deliv­ery in the U.S. Influen­za Vac­cine Sup­ply Chain.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 18 (3): 332–346. https://doi.org/10.1287/msom.2015.0574.

◦ Fea­ture Arti­cle in the Sum­mer 2016 issue of M&SOM
◦ Fea­tured by Hub of Johns Hop­kins Uni­ver­si­ty, Wash­ing­ton Uni­ver­si­ty in St. Louis News­room, and Phar­ma­cy Times

‣ Lil­jen­quist, Dan, Tin­g­long Dai, and Ge Bai. 2021. “A Non­prof­it Pub­lic Util­i­ty Approach to Enhance Next-Gen­er­a­tion Vac­cine Man­u­fac­tur­ing Capac­i­ty.” Pop­u­la­tion Health Man­age­ment 24 (5): 546–547. https://doi.org/10.1089/pop.2020.0377.

‣ Lee, Soo-Hoon, Tin­g­long Dai, Phillip H. Phan, Nehama Moran, and Jer­ry Stonemetz. 2022. “The Asso­ci­a­tion Between Tim­ing of Elec­tive Surgery Sched­ul­ing and Oper­at­ing The­ater Uti­liza­tion: A Cross-Sec­tion­al Ret­ro­spec­tive Study.” Anes­the­sia & Anal­ge­sia 134 (3): 455–462. doi:10.1213/ane.0000000000005871.

‣ Bal­agu­ru, Loges­var, Chen Dun, Andrea Mey­er, Sanuri Hen­nayake, Christi Walsh, Christo­pher Kung, Brit­tany Cary, Frank Migliarese, Tin­g­long Dai, Ge Bai, Kath­leen Sut­cliffe, and Mar­tin Makary. 2022. NIH Fund­ing of COVID-19 Research in 2020: A Cross Sec­tion­al Study. BMJ Open 12(5), e059041. http://dx.doi.org/10.1136/bmjopen-2021–059041

◦ Fea­tured by New York Times

‣ Jain, Amit, Tin­g­long Dai, Christo­pher G Myers, Pun­ya Jain, and Shru­ti Aggar­w­al. 2021. “Pri­ori­tis­ing Sur­gi­cal Cas­es Deferred by the COVID-19 Pan­dem­ic: An Ethics-Inspired Algo­rith­mic Frame­work for Health Lead­ers.” BMJ Leader 5 (2): 124–126. https://doi.org/10.1136/leader-2020–000343.

‣ Fat­tahi, Ali, Maq­bool Dada, and Tin­g­long Dai. 2020. “A Sub­scrip­tion Mod­el for Pre­scrip­tion Drugs.” Work­ing paper. https://doi.org/10.2139/ssrn.3634063.

 

Human-AI Interaction

‣ Abramoff, Michael, Tin­g­long Dai, and James Zou. 2024. Scal­ing Adop­tion of Med­ical Arti­fi­cial Intel­li­gence: Reim­burse­ment from Val­ue-Based Care and Fee-for-Ser­vice Per­spec­tives. NEJM AI 1(5): AIpc2400083. http://doi.org/10.1056/AIpc2400083. [PDF]

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2024. “Arti­fi­cial Intel­li­gence on Call: The Physi­cian’s Deci­sion of Whether to Use AI in Clin­i­cal Prac­tice.” Work­ing paper. http://doi.org/10.2139/ssrn.3987454.

‣ Lai, Jiayi, Leon Xu, Xin Fang, and Tin­g­long Dai. 2024. “Reg­u­lat­ing Adap­tive Med­ical Arti­fi­cial Intel­li­gence: Can Less Over­sight Lead to Greater Com­pli­ance?” Work­ing paper.

‣ Dai, Tin­g­long, and Abramoff, Michael. 2023. “Incor­po­rat­ing Arti­fi­cial Intel­li­gence into Health­care Work­flows: Mod­els and Insights.” INFORMS TutO­Ri­als in Oper­a­tions Research, 133–155. https://ssrn.com/abstract=4470962.

‣ Dai, Tin­g­long, and Srid­har Tayur. 2022. “Design­ing AI-aug­ment­ed Health­care Deliv­ery Sys­tems for Physi­cian Buy-in and Patient Accep­tance.” Pro­duc­tion and Oper­a­tions Man­age­ment, 31 (12): 4443–4451. https://doi.org/10.1111/poms.13850.

‣ Abramoff, Michael D., Noelle White­stone, Jen­nifer L. Pat­naik, Emi­ly Rich, Munir Ahmed, Lut­ful Husain, Moham­mad Yead­ul Has­san, Md. Sajidul Huq Tan­jil, Dena Weitz­man, Tin­g­long Dai, Brandie D. Wag­n­er, David H. Cher­wek, Nathan Con­g­don, and Khair­ul Islam. 2023. “Autonomous Arti­fi­cial Intel­li­gence Increas­es Real-World Spe­cial­ist Clin­ic Pro­duc­tiv­i­ty in a Clus­ter-Ran­dom­ized Tri­al.” npj Dig­i­tal Med­i­cine 6: 184. https://www.nature.com/articles/s41746-023–00931‑7

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2020. “Con­spic­u­ous by Its Absence: Diag­nos­tic Expert Test­ing Under Uncer­tain­ty.” Mar­ket­ing Sci­ence 39 (3): 540–563. https://doi.org/10.1287/mksc.2019.1201.

◦ Fea­tured by Agency for Health­care Research and Qual­i­ty, Hub of Johns Hop­kins Uni­ver­si­ty and INFORMS Pod­cast

‣ Adi­da, Elodie, and Tin­g­long Dai. 2024. “Impact of Physi­cian Pay­ment Scheme on Diag­nos­tic Effort and Test­ing.” Man­age­ment Sci­ence 70(8): 5408–5425. https://doi.org/10.1287/mnsc.2023.4937.

‣ Dai, Tin­g­long, Katia Sycara, and Ronghuo Zheng. 2021. “Agent Rea­son­ing in AI-Pow­ered Nego­ti­a­tion.” Hand­book of Group Deci­sion and Nego­ti­a­tion, 2nd Edi­tion. M. Kil­go­ur and C. Eden (Eds). New York: Springer.

‣ Wuest, Thorsten, Andrew Kusi­ak, Tin­g­long Dai, and Srid­har R. Tayur. 2020. “Impact of COVID-19 on Man­u­fac­tur­ing and Sup­ply Net­works — The Case for AI-Inspired Dig­i­tal Trans­for­ma­tion.” Work­ing report. https://doi.org/10.2139/ssrn.3593540.

◦ A short­ened ver­sion, enti­tled “Impact of COVID-19: The Case for AI-Inspired Dig­i­tal Trans­for­ma­tion,” was pub­lished in the June 2020 issue of OR/MS Today and fea­tured on the cover.

‣ Zheng, Ronghuo, Tin­g­long Dai, Katia Sycara, and Nilan­jan Chakraborty. 2016. “Auto­mat­ed Mul­ti­lat­er­al Nego­ti­a­tion on Mul­ti­ple Issues with Pri­vate Infor­ma­tion.” INFORMS Jour­nal on Com­put­ing 28 (4): 612–628. https://doi.org/10.1287/ijoc.2016.0701.

‣ Zheng, Ronghuo, Nilan­jan Chakraborty, Tin­g­long Dai, and Katia Sycara. 2013. “Mul­ti­a­gent Nego­ti­a­tion on Mul­ti­ple Issues with Incom­plete Infor­ma­tion.” In Pro­ceed­ings of the 12th Inter­na­tion­al Con­fer­ence on Autonomous Agents and Mul­ti­a­gent Sys­tems: AAMAS’13, 1279–1280. https://dl.acm.org/doi/10.5555/2484920.2485182.

‣ Zheng, Ronghuo, Nilan­jan Chakraborty, Tin­g­long Dai, Katia Sycara, and Michael Lewis. 2013. “Auto­mat­ed Bilat­er­al Mul­ti­ple-Issue Nego­ti­a­tion with No Infor­ma­tion About Oppo­nent.” In Pro­ceed­ings of the 46th Hawaii Inter­na­tion­al Con­fer­ence on Sys­tem Sci­ences. https://doi.org/10.1109/hicss.2013.626.

‣ Xu, Ying, Tin­g­long Dai, Katia Sycara, and Michael Lewis. 2012. “A Mech­a­nism Design Mod­el to Enhance Per­for­mance in Human-Mul­ti­ro­bot Teams.” In Pro­ceed­ings of the Annu­al Human Agent Robot Team­work Work­shop, Boston, MA.

◦ Cit­ed as the first to pro­pose “the idea of autonomous agents report­ing prob­lems to a cen­tral authority”

‣ Sanchez-Anguix, Vic­tor, Tin­g­long Dai, Zhaleh Sem­nani-Azad, Katia Sycara, and Vicente Bot­ti. 2012. “Mod­el­ing Pow­er Dis­tance and Individualism/Collectivism in Nego­ti­a­tion Team Dynam­ics.” In Pro­ceed­ings of the 45th Hawaii Inter­na­tion­al Con­fer­ence on Sys­tem Sci­ences. https://doi.org/10.1109/hicss.2012.436.

‣ Xu, Ying, Tin­g­long Dai, Katia Sycara, and Michael Lewis. 2010. “Ser­vice Lev­el Dif­fer­en­ti­a­tion in Mul­ti-Robots Con­trol.” In Pro­ceed­ings of 2010 IEEE/RSJ Inter­na­tion­al Con­fer­ence on Intel­li­gent Robots and Sys­tems.  https://doi.org/10.1109/iros.2010.5649366.

 

Marketing-Operations Interfaces

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2024. “Over­diag­no­sis and Under­test­ing for Infec­tious Dis­eases.” Mar­ket­ing Sci­ence, forth­com­ing. https://doi.org/10.1287/mksc.2022.0038.

◦ Fea­tured by New York Times and VoxEU
◦ Select­ed by COVID Eco­nom­ics as lead arti­cle of Issue 58

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2023. “Arti­fi­cial Intel­li­gence on Call: The Physi­cian’s Deci­sion of Whether to Use AI in Clin­i­cal Prac­tice.” Work­ing paper. http://doi.org/10.2139/ssrn.3987454.

‣ Dai, Tin­g­long, Rongzhu Ke, and Christo­pher Thomas Ryan. 2021. “Incen­tive Design for Oper­a­tions-Mar­ket­ing Mul­ti­task­ing.” Man­age­ment Sci­ence 67 (4): 2211–2230. https://doi.org/10.1287/mnsc.2020.3651.

‣ Zuo, Ruit­ing, Tin­g­long Dai, and Jus­si Kep­po. 2023. “Incen­tive Design and Pric­ing under Lim­it­ed Inven­to­ry.” Work­ing paper. http://dx.doi.org/10.2139/ssrn.3989971.

‣ Li, Yifu, Tin­g­long Dai, and Xiang­tong Qi. 2022. A The­o­ry of Inte­ri­or Peaks: Activ­i­ty Sequenc­ing and Selec­tion for Ser­vice Design. Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 24(2): 993‑1001. https://doi.org/10.1287/msom.2021.0970.

◦ 2017 IBM Ser­vice Sci­ence Best Stu­dent Paper Award, Finalist
◦ 2018 POMS-HK Inter­na­tion­al Con­fer­ence, Best Stu­dent Paper Com­pe­ti­tion, Hon­or­able Mention

‣ Dai, Tin­g­long, and Shubhran­shu Singh. 2020. “Con­spic­u­ous by Its Absence: Diag­nos­tic Expert Test­ing Under Uncer­tain­ty.” Mar­ket­ing Sci­ence 39 (3): 540–563. https://doi.org/10.1287/mksc.2019.1201.

◦ Fea­tured by Agency for Health­care Research and Qual­i­ty, Hub of Johns Hop­kins Uni­ver­si­ty and INFORMS Pod­cast

‣ Yuan, Xuchuan, Tin­g­long Dai, Lucy Gong­tao Chen, and Sri­nagesh Gavir­neni. 2021. “Co-Ope­ti­tion in Ser­vice Clus­ters with Wait­ing-Area Enter­tain­ment.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 23 (1): 106–122. https://doi.org/10.1287/msom.2019.0815.

◦ Fea­tured by INFORMS Press Release and Nation­al Uni­ver­si­ty of Singapore

‣ Dai, Tin­g­long, and Kin­shuk Jerath. 2019. “Sales­force Con­tract­ing Under Uncer­tain Demand and Sup­ply: Dou­ble Moral Haz­ard and Opti­mal­i­ty of Smooth Con­tracts.” Mar­ket­ing Sci­ence 38 (5): 852–70. https://doi.org/10.1287/mksc.2019.1171.

‣ Chen, Ying-Ju, Tin­g­long Dai, C. Gizem Kor­peoglu, Ersin Kör­peoğlu, Ozge Sahin, Christo­pher S. Tang, and Shi­hong Xiao. 2020. “OM Forum—Innovative Online Plat­forms: Research Oppor­tu­ni­ties.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 22 (3): 430–445. https://doi.org/10.1287/msom.2018.0757. [lead article]

‣ Dai, Tin­g­long, and Kin­shuk Jerath. 2016. “Impact of Inven­to­ry on Quo­ta-Bonus Con­tracts with Rent Shar­ing.” Oper­a­tions Research 64 (1): 94–98. https://doi.org/10.1287/opre.2015.1461.

‣ Dai, Tin­g­long, and Kin­shuk Jerath. 2013. “Sales­force Com­pen­sa­tion with Inven­to­ry Con­sid­er­a­tions.” Man­age­ment Sci­ence 59 (11): 2490–2501. https://doi.org/10.1287/mnsc.2013.1809.

 

Global Supply Chains

‣ Dai, Tin­g­long, and Christo­pher S. Tang. 2024. “De-risk­ing Glob­al Sup­ply Chains: Look­ing Beyond Mate­r­i­al Flows.” Asia Pol­i­cy 19 (4): 153–176. https://doi.org/10.1353/asp.2024.a942841. [Free PDF cour­tesy of the Hin­rich Foun­da­tion]

‣ Dai, Tin­g­long, and Christo­pher S. Tang. 2024. “Nat­ur­al Haz­ards and Sup­ply Chain.” In Oxford Research Ency­clo­pe­dia of Nat­ur­al Haz­ard Sci­ence. D. Benouar (Ed), Oxford Uni­ver­si­ty Press. https://doi.org/10.1093/acrefore/9780199389407.013.512.

‣ Dai, Tin­g­long, Lee, Hau L., and Christo­pher S. Tang. 2024. “Toward Sup­ply-Chain-Aware ESG Mea­sures.” In Respon­si­ble and Sus­tain­able Oper­a­tions: The New Fron­tier. C. S. Tang (Ed), pp. 235–252. Springer. https://doi.org/10.1007/978–3‑031–60867-4_15.

‣ Dai, Tin­g­long, and Christo­pher S. Tang. “Every­body Talks About Made in Amer­i­ca. But It Isn’t That Sim­ple.” Wall Street Jour­nal. Octo­ber 23. https://on.wsj.com/3zouROt.

‣ Dai, Tin­g­long, and Christo­pher S. Tang. 2022. “Inte­grat­ing ESG Mea­sures and Sup­ply Chain Man­age­ment: Research Oppor­tu­ni­ties in the Post-Pan­dem­ic Era.” Ser­vice Sci­ence 14 (1): 1–12. https://doi.org/10.1287/serv.2021.0295. [lead article]

‣ Mak, Ho-Yin, Tin­g­long Dai, and Christo­pher S. Tang. 2022. “Man­ag­ing Two-Dose COVID-19 Vac­cine Roll­outs with Lim­it­ed Sup­ply: Oper­a­tions Strate­gies for Dis­trib­ut­ing Time-Sen­si­tive Resources.” Pro­duc­tion and Oper­a­tions Man­age­ment 31 (12): 4424–4442. https://doi.org/10.1111/poms.13862.

‣ Dai, Tin­g­long, and Jing-Sheng Song. 2021. “Trans­form­ing COVID-19 Vac­cines into Vac­ci­na­tion.” Health Care Man­age­ment Sci­ence 24 (3): 455–459. https://doi.org/10.1007/s10729-021–09563‑3. [lead article]

‣ Lil­jen­quist, Dan, Tin­g­long Dai, and Ge Bai. 2021. “A Non­prof­it Pub­lic Util­i­ty Approach to Enhance Next-Gen­er­a­tion Vac­cine Man­u­fac­tur­ing Capac­i­ty.” Pop­u­la­tion Health Man­age­ment 24 (5): 546–547. https://doi.org/10.1089/pop.2020.0377.

‣ Dai, Tin­g­long, Muham­mad H. Zaman, William Padu­la, and Patri­cia M. David­son. 2021. “Sup­ply Chain Fail­ures Amid Covid-19 Sig­nal a New Pil­lar for Glob­al Health Pre­pared­ness.” Jour­nal of Clin­i­cal Nurs­ing 30(1–2): e1–e3.

‣ Dai, Tin­g­long, Ge Bai, and Ger­ard Ander­son. 2020. “PPE Sup­ply Chain Needs Data Trans­paren­cy and Stress Test­ing.” Jour­nal of Gen­er­al Inter­nal Med­i­cine 35(9): 2748–2749.

◦ Alt­met­ric = 230 (as of July 2020); ranked No. 2 (the 98th per­centile) of the 131 tracked arti­cles of a sim­i­lar age in Jour­nal of Gen­er­al Inter­nal Med­i­cine and the 98th per­centile of the 219,632 arti­cles of a sim­i­lar age in all journals

◦ Fea­tured in the final report by the U.S. Nation­al Acad­e­mies of Sci­ences, Engi­neer­ing, and Med­i­cine Com­mit­tee on Secu­ri­ty of America’s Med­ical Sup­ply Chain

‣ Wuest, Thorsten, Andrew Kusi­ak, Tin­g­long Dai, and Srid­har R. Tayur. 2020. “Impact of COVID-19 on Man­u­fac­tur­ing and Sup­ply Net­works — The Case for AI-Inspired Dig­i­tal Trans­for­ma­tion.” Work­ing report. https://doi.org/10.2139/ssrn.3593540.

◦ A short­ened ver­sion, enti­tled “Impact of COVID-19: The Case for AI-Inspired Dig­i­tal Trans­for­ma­tion,” was pub­lished in the June 2020 issue of OR/MS Today and fea­tured on the cover.

‣ Dai, Tin­g­long, and Srid­har Tayur. 2017. “The Evo­lu­tion­ary Trends of POM Research in Man­u­fac­tur­ing.” In Rout­ledge Com­pan­ion to Pro­duc­tion and Oper­a­tions Man­age­ment. M. Starr and S. Gup­ta (Eds), pp. 647–662. Lon­don, U.K: Rout­ledge. [Link to preprint]

‣ Dai, Tin­g­long, Soo-Haeng Cho, and Fuqiang Zhang. 2016. “Con­tract­ing for On-Time Deliv­ery in the U.S. Influen­za Vac­cine Sup­ply Chain.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 18 (3): 332–346. https://doi.org/10.1287/msom.2015.0574.

◦ Fea­ture Arti­cle in the Sum­mer 2016 issue of M&SOM
◦ Fea­tured by Hub of Johns Hop­kins Uni­ver­si­ty, Wash­ing­ton Uni­ver­si­ty in St. Louis News­room, and Phar­ma­cy Times

 

 

Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations

Edi­tors: Tin­g­long Dai and Srid­har Tayur

Pub­lished by John Wiley & Sons, Sep­tem­ber 2018; ISBN: 978–1‑119–30094‑6

Endorsed by:

Nitin Nohria, John P. Roberts, Alvin E. Roth, and Christo­pher S. Tang

Contributors:

‣ Mustafa Akan (Carnegie Mellon)
‣ Itai Ash­la­gi (Stan­ford)
‣ Baris Ata (Chica­go Booth)
‣ Tur­gay Ayer (Geor­gia Tech)
‣ Qiushi Chen (Penn State)
‣ Soo-Haeng Cho (Carnegie Mellon)
‣ Don­ald Fis­ch­er (High­mark)
‣ Nagesh Gavir­neni (Cor­nell)
‣ Joel Goh (NUS/Harvard)
‣ Diwas KC (Emory)
‣ Vidyad­har Kulka­rni (UNC)
‣ Nadia Lahrichi (Poly­tech­nique Montréal)
‣ Jay Levine (MIT)
‣ Nan Liu (BC)
‣ Karthik Natara­jan (Min­neso­ta)
‣ Rema Pad­man (Carnegie Mellon)
‣ Cem Ran­da (UCSF)
‣ Louis-Mar­tin Rousseau (Poly­tech­nique Montréal)
‣ Alan Scheller-Wolf (Carnegie Mellon)
‣ Hum­my Song (Whar­ton)
‣ Jay Swami­nathan (UNC)
‣ Van-Anh Truong (Colum­bia)
‣ Willem-Jan Van Hoeve (Carnegie Mellon)
‣ Senthil Veer­aragha­van (Whar­ton)
‣ Hui Zhao (Penn State)

Buy/Read the Book:

Wiley, Ama­zon, Apple Books, Google Books

 

 

Articles

‣ Tin­g­long Dai, Christo­pher S. Tang. 2021. ESG Invest­ing Has a Blind Spot That Puts the $35 Tril­lion Industry’s Sus­tain­abil­i­ty Promis­es in Doubt: Sup­ply Chains. The Con­ver­sa­tion. Novem­ber 9.

‣ Ravi Mit­tal, Surb­hi Jain, Christo­pher G. Myers, Tin­g­long Dai, Amit Jain. 2021. A 100% COVID Vac­ci­na­tion Rate Is Pos­si­ble – We Did It: The Raigarh Suc­cess Sto­ry Shows the Pow­er of Behav­ioral and Moti­va­tion­al Strate­gies. Med­Page Today. Octo­ber 22.

‣ Tin­g­long Dai. 2021. Why John­son & John­son Throw­ing Out 15 Mil­lion COVID-19 Vac­cine Dos­es Shouldn’t Scare You. The Con­ver­sa­tion, April 1.

‣ Tin­g­long Dai, Christo­pher S. Tang, Ho-Yin Mak. 2021. Opin­ion: The Back­lash Against John­son & Johnson’s COVID-19 Vac­cine Is Real and Risky — Here’s Exact­ly How To Make the Roll­out a Suc­cess. Mar­ket­Watch. March 10.

◦ Read more than 700,000 times across The Con­ver­sa­tion and Mar­ket­Watch, among oth­er outlets

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on March 5 with the title of “Back­lash Against John­son & Johnson’s COVID-19 Vac­cine Is Real and Risky – Here’s How To Make Its Roll­out a Suc­cess”

‣ Tin­g­long Dai. 2021. The US Government’s $44 Mil­lion Vac­cine Roll­out Web­site Was a Pre­dictable Mess – Here’s How To Fix the Bro­ken Process Behind It. The Con­ver­sa­tion. Feb­ru­ary 4.

‣ Tin­g­long Dai. 2021. The Sim­ple Rea­son West Vir­ginia Leads the Nation in Vac­ci­nat­ing Nurs­ing Home Res­i­dents. The Asso­ci­at­ed Press. Jan­u­ary 29.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on Jan­u­ary 14

◦ Repub­lished in Fast Com­pa­ny, Quartz, and U.S. News & World Report

‣ Tin­g­long Dai, Shubhran­shu Singh. 2020. COVID-19 Diag­nos­tic Test­ing and Viral Load Report­ing. VoxEU.org. Decem­ber 23.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. How to Dis­trib­ute the COVID-19 Vac­cine: Lessons From Ama­zon and Wal­mart. Fast Com­pa­ny. Decem­ber 16.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on Decem­ber 15 under the title of “What Vac­cine Dis­tri­b­u­tion Plan­ners Can Learn From Ama­zon and Walmart”

◦ Repub­lished in Nation­al Inter­est, Quartz, Salon, and Scroll.in

◦ Trans­lat­ed to Span­ish and pub­lished in El Financiero and The Logis­tics World 

‣ Tin­g­long Dai, Gui­hua Wang, Ronghuo Zheng. 2020. How the Air­line Indus­try Recov­ers From COVID-19 Could Deter­mine Who Gets Organ Trans­plants. The Con­ver­sa­tion. Sep­tem­ber 28.

‣ Amit Jain, Tin­g­long Dai, Kristin Bibee, Christo­pher G. Myers. 2020. Covid-19 Cre­at­ed an Elec­tive Surgery Back­log. How Can Hos­pi­tals Get Back on Track? Har­vard Busi­ness Review. August 10.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. How to Build a Coro­n­avirus Vac­cine Sup­ply Chain. Bloomberg Law. July 21.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Influen­za Vac­cine Sup­ply Chain Lessons for Coro­n­avirus. Bloomberg Law. July 21.

‣ Thorsten Wuest, Andrew Kusi­ak, Tin­g­long Dai, Srid­har Tayur. 2020. Impact of COVID-19: The Case for AI-Inspired Dig­i­tal Trans­for­ma­tion. OR/MS Today. 47 (3) 34–39.

 

Op-Eds

‣ Tin­g­long Dai, Ho-Yin Mak, Christo­pher S. Tang. 2021. The Great Promise of a One-Dose Vac­cine. Bar­ron’s. Feb­ru­ary 26.

‣ Tin­g­long Dai. 2021. How To Fix the Mess of COVID-19 Vac­cine Appoint­ment Sched­ul­ing. Fast Com­pa­ny. Feb­ru­ary 23.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on Feb­ru­ary 22 with the title of “How To Real­ly Fix COVID-19 Vac­cine Appoint­ment Scheduling”

◦ Repub­lished in The Dai­ly Beast, Mar­ket­Watch, Nextgov, and Yahoo! News

‣ Tin­g­long Dai, Prashant Yadav. 2021. Why Hold­ing Sec­ond Dos­es of COVID-19 Vac­cines in Reserve Is the Wrong Strat­e­gy. USA Today. Jan­u­ary 12.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Safe­ty First for Online Mar­kets, or Cus­tomers May Shop Else­where. Bar­ron’s. August 25. (Repub­lished in Mar­ket­Watch.)

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Ama­zon Has a Trust Prob­lem. Bar­ron’s. August 7. (Repub­lished in Mar­ket­Watch.)

‣ Ge Bai, Tin­g­long Dai, Shiv­aram Raj­gopal. 2020. The PPE Sup­ply Chain Is a Black Box—That Needs to Change. For­tune. July 25.

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Too Fast, Too Furi­ous: Is U.S. Vac­cine Devel­op­ment Head­ed in the Wrong Direc­tion? Bar­ron’s. July 16. (Repub­lished in Mar­ket­Watch.)

‣ Tin­g­long Dai. 2020. Where Does Your PPE Come From? A Lack of Trans­paren­cy Is Hurt­ing Amer­i­cans. Fast Com­pa­ny. July 15.

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on July 13 under the title of “What US Med­ical Sup­ply Chain Can Learn From the Fash­ion Indus­try”; also repub­lished in Yahoo! News, Scroll.in, Mic, and Hous­ton Chronicle

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. The U.S. Med­ical Sup­ply Chain Isn’t Ready for a Sec­ond Wave. Bar­ron’s. June 24. Fea­tured Arti­cle. (Repub­lished in Mar­ket­Watch.)

‣ Tin­g­long Dai, Christo­pher S. Tang. 2020. Need­ed: A PPE Indus­tri­al Com­mons. EE Times. May 27.

 

Book Chapters and Encyclopedia Entries

‣ Tin­g­long Dai, Katia Sycara, Ronghuo Zheng. 2021. Agent Rea­son­ing in AI-Pow­ered Nego­ti­a­tion. Hand­book of Group Deci­sion and Nego­ti­a­tion, 2nd Edi­tion. M. Kil­go­ur and C. Eden (Eds), New York: Springer.

‣ Soo-Hoon Lee, Tin­g­long Dai, Phillip H. Phan. 2020. Health Orga­ni­za­tion­al Design: Infor­ma­tion Exchange and Account­abil­i­ty. Wiley Stat­sRef: Sta­tis­tics Ref­er­ence Online. stat08229. [Link to preprint]

‣ Tin­g­long Dai. 2018. Game The­o­ry and Infor­ma­tion Eco­nom­ics. In Hand­book of Health­care Ana­lyt­ics: The­o­ret­i­cal Min­i­mum for Con­duct­ing 21st Cen­tu­ry Research on Health­care Oper­a­tions. T. Dai and S. Tayur (Eds), pp. 337–354. Hobo­ken, NJ: John Wiley & Sons.

‣ Tin­g­long Dai, Srid­har Tayur. 2017. The Evo­lu­tion­ary Trends of POM Research in Man­u­fac­tur­ing. In Rout­ledge Com­pan­ion to Pro­duc­tion and Oper­a­tions Man­age­ment. M. Starr and S. Gup­ta (Eds), pp. 647–662. Lon­don, U.K: Rout­ledge. [Link to preprint]

‣ Nazli Turan, Tin­g­long Dai, Katia Sycara, Lau­rie Wein­gart. 2013. Toward a Uni­fied Nego­ti­a­tion Frame­work: Lever­ag­ing Strengths in Behav­ioral and Com­pu­ta­tion­al Com­mu­ni­ties. In Mod­els for Inter-Cul­tur­al Col­lab­o­ra­tion and Nego­ti­a­tion. M. Gelfand and K. Sycara (Eds), pp. 53–66. Dor­drecht, Nether­lands: Springer.

‣ Katia Sycara, Tin­g­long Dai. 2010. Agent Rea­son­ing in Nego­ti­a­tion. In Hand­book of Group Deci­sion and Nego­ti­a­tion. M. Kil­go­ur and C. Eden (Eds.), pp. 437–451. New York: Springer.

 

Non-Peer-Reviewed Publications

‣ Dan Lil­jen­quist, Tin­g­long Dai, Ge Bai. 2021. A Non­prof­it Pub­lic Util­i­ty Approach to Enhance Next-Gen­er­a­tion Vac­cine Man­u­fac­tur­ing Capac­i­ty. Pop­u­la­tion Health Man­age­ment 24(5), 546–547.

‣ Tin­g­long Dai, Muham­mad H. Zaman, William Padu­la, Patri­cia M. David­son. 2021. Sup­ply Chain Fail­ures Amid Covid-19 Sig­nal a New Pil­lar for Glob­al Health Pre­pared­ness. Jour­nal of Clin­i­cal Nurs­ing, 30(1–2), e1-e3.

‣ Tin­g­long Dai, Ge Bai, Ger­ard Ander­son. 2020. PPE Sup­ply Chain Needs Data Trans­paren­cy and Stress Test­ing. Jour­nal of Gen­er­al Inter­nal Med­i­cine 35(9), 2748–2749.

◦ Alt­met­ric = 230 (as of July 2020); ranked No. 2 (the 98th per­centile) of the 131 tracked arti­cles of a sim­i­lar age in Jour­nal of Gen­er­al Inter­nal Med­i­cine and the 98th per­centile of the 219,632 arti­cles of a sim­i­lar age in all journals

‣ Alona Court­ney, Ann-Marie How­ell, Najib Daulatzai, Nicos Sav­va, Oliv­er War­ren, Sarah Mills, Shah­nawaz Rasheed, Goel Milind, Nicholas Tekkis, Matthew Gar­diner, Tin­g­long Dai, Bashar Safar, Jonathan E Efron, Ara Darzi, Paris Tekkis, Chris­tos Kon­tovouni­siosa. 2020. CRC COVID: Col­orec­tal Can­cer Ser­vices Dur­ing COVID-19 Pan­dem­ic. Study Pro­to­col for Ser­vice Eval­u­a­tion. Inter­na­tion­al Jour­nal of Surgery Pro­to­cols 23 15–19.

‣ CRC COVID Research Col­lab­o­ra­tive. 2020. Col­orec­tal Can­cer Ser­vices dur­ing the COVID-19 Pan­dem­ic. British Jour­nal of Surgery 107(8), e255–e256.

 

Teaching Materials

‣ Tin­g­long Dai, Srid­har Tayur, Joshua Rhein­bolt, Robert Noeck­er. 2016. Patient Expe­ri­ence Improve­ment at UPMC Eye Cen­ter. Oper­a­tions Man­age­ment Edu­ca­tion Review. Vol­ume 10, pp. 5–36.

‣ Tin­g­long Dai. Teach­ing Note for “Man­ag­ing Inven­to­ry” (HBP No. 8016). 2018. Har­vard Busi­ness School Oper­a­tions Man­age­ment Core Cur­ricu­lum, HBP No. 8017.

 

 

‣ Dean’s Award for Fac­ul­ty Excel­lence, 2016, 2017, 2018, 2019

‣ Black & Deck­er Com­pet­i­tive Research Grant, 2018, 2019

‣ Pro­duc­tion and Oper­a­tions Man­age­ment Best Review­er Award, 2018

‣ INFORMS Pub­lic Sec­tor Oper­a­tions Research Best Paper Award, 2017
for the paper “Jump­ing the Line, Char­i­ta­bly: Analy­sis and Rem­e­dy of Donor-Pri­or­i­ty Rule”

‣ The Johns Hop­kins Dis­cov­ery Award, 2015
for the project “Clin­i­cal Ambi­gu­i­ty and Con­flicts of Inter­ests in Inter­ven­tion­al Car­di­ol­o­gy Deci­sion-Mak­ing” (role: lead PI)

‣ POMS Best Health­care Paper Award (First Place Win­ner), 2012
for the paper enti­tled “Imag­ing Room and Beyond: The Under­ly­ing Eco­nom­ics behind Physi­cians’ Test-Order­ing Behav­ior in Out­pa­tient Ser­vices.”

‣ INFORMS Pier­skalla Award for the Best Paper in Health­care (Run­ner-Up), 2012
for the paper enti­tled “Con­tract­ing for On-Time Deliv­ery in the U.S. Influen­za Vac­cine Sup­ply Chain.”

‣ POMS Best Health­care Paper Award (Run­ner-Up), 2016
for the paper enti­tled “Clin­i­cal Ambi­gu­i­ty and Con­flicts of Inter­ests in Inter­ven­tion­al Car­di­ol­o­gy Deci­sion-Mak­ing.”

‣ POMS Col­lege of Sup­ply Chain Man­age­ment Best Stu­dent Paper Award (Final­ist), 2013
for the paper enti­tled “Con­tract­ing for On-Time Deliv­ery in the U.S. Influen­za Vac­cine Sup­ply Chain.”

‣ Elwood S. Buf­fa Doc­tor­al Dis­ser­ta­tion Award (Final­ist), 2014
for the dis­ser­ta­tion enti­tled “Incen­tives in U.S. Health­care Oper­a­tions” (Sum­ma­ry).

‣ INFORMS Case Com­pe­ti­tion (Sec­ond Place Win­ner), 2012
for the teach­ing case “Patient Expe­ri­ence Improve­ment at UPMC Eye Center.”

 

 

‣ Amer­i­can Uni­ver­si­ty, Kogod School of Busi­ness (2024)
‣ Ari­zona State Uni­ver­si­ty, Cen­ter for Accel­er­at­ing Oper­a­tional Effi­cien­cy (2021)
‣ Aston Uni­ver­si­ty, Aston Busi­ness School (2023)
‣ Bilkent Uni­ver­si­ty, Depart­ment of Indus­tri­al Engi­neer­ing (2021)
‣ Boston Col­lege, Car­roll School of Man­age­ment (2018)
‣ Bran­deis Uni­ver­si­ty, Inter­na­tion­al Busi­ness School (2021)
‣ Cardiff Uni­ver­si­ty, School of Math­e­mat­ics (2017)
‣ Carnegie Mel­lon Uni­ver­si­ty, Tep­per School of Busi­ness & INFORMS Chap­ter (2021)
‣ Carnegie Mel­lon Uni­ver­si­ty, Tep­per School of Busi­ness (2017)
‣ Case West­ern Reserve Uni­ver­si­ty, Weath­er­head School of Man­age­ment (2024)
‣ Chi­nese Uni­ver­si­ty of Hong Kong, CUHK Busi­ness School (2017)
‣ City Uni­ver­si­ty of Hong Kong, CityU Col­lege of Busi­ness (2016)
‣ City Uni­ver­si­ty of New York, Baruch Col­lege (2020)
‣ Clark­son Uni­ver­si­ty, School of Busi­ness (2015)
‣ Col­lege of William & Mary, Depart­ment of Math­e­mat­ics (2016)
‣ Cor­nell Uni­ver­si­ty, SC John­son Col­lege of Busi­ness (2018)
‣ Cor­nell Uni­ver­si­ty, John­son Grad­u­ate School of Man­age­ment (2013)
‣ Duke Uni­ver­si­ty, Fuqua School of Busi­ness (2021)
‣ Emory Uni­ver­si­ty, Goizue­ta Busi­ness School (2023)
‣ George Wash­ing­ton Uni­ver­si­ty, School of Busi­ness (2023)
‣ George­town Uni­ver­si­ty, McDo­nough School of Busi­ness (2017)
‣ Geor­gia Insti­tute of Tech­nol­o­gy, Scheller Col­lege of Busi­ness, (2024)
‣ Geor­gia Insti­tute of Tech­nol­o­gy, H. Mil­ton Stew­art School of Indus­tri­al and Sys­tems Engi­neer­ing (2017)
‣ Har­vard Uni­ver­si­ty, Har­vard Busi­ness School (2023)
‣ Hong Kong Uni­ver­si­ty of Sci­ence & Tech­nol­o­gy, Depart­ment of Indus­tri­al Engi­neer­ing and Logis­tics Man­age­ment (2016)
‣ Indi­ana Uni­ver­si­ty, Kel­ley School of Busi­ness (2020)
‣ INSEAD (2020)
‣ Insti­tute for Math­e­mat­i­cal and Sta­tis­ti­cal Inno­va­tion (2023)
‣ Johns Hop­kins Med­i­cine, JHI Part­ners Forum (2019)
‣ Johns Hop­kins Uni­ver­si­ty, Depart­ment of Applied Math­e­mat­ics and Sta­tis­tics (2022)
‣ Johns Hop­kins Uni­ver­si­ty, Bloomberg School of Pub­lic Health, Cen­ter for Health Ser­vices Out­comes Research (2023)
‣ Johns Hop­kins Uni­ver­si­ty, Bloomberg School of Pub­lic Health, Cen­ter for Health Ser­vices Out­comes Research (2021)
‣ Johns Hop­kins Uni­ver­si­ty, Carey Busi­ness School (2013)
‣ Johns Hop­kins Uni­ver­si­ty, Divi­sion of Infec­tious Dis­eases (2024)
‣ Johns Hop­kins Uni­ver­si­ty, Hop­kins Busi­ness of Health Ini­tia­tive (2022)
‣ Johns Hop­kins Uni­ver­si­ty, School of Med­i­cine, Depart­ment of Plas­tic & Recon­struc­tive Surgery (2023)
‣ Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Cen­ter for Immer­sive Learn­ing and Dig­i­tal Inno­va­tions (2023)
‣ Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Health Equi­ty Sem­i­nar (2024)
‣ Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Health Equi­ty Sem­i­nar (2023)
‣ Lehigh Uni­ver­si­ty, Col­lege of Busi­ness (2024)
‣ Lon­don Busi­ness School (2019)
‣ McGill Uni­ver­si­ty, Desau­tels Fac­ul­ty of Man­age­ment (2024, scheduled)
‣ McGill Uni­ver­si­ty, Ben­sadoun School of Retail Man­age­ment, Thought Leader Series (2021)
‣ Nation­al Uni­ver­si­ty of Sin­ga­pore, NUS Busi­ness School (2020)
‣ The Ohio State Uni­ver­si­ty, Fish­er Col­lege of Busi­ness (2022)
‣ Ore­gon State Uni­ver­si­ty, Sup­ply Chain Coun­cil (2022)
‣ Queen’s Uni­ver­si­ty, Smith School of Busi­ness (2023)
‣ Rice Uni­ver­si­ty, Jones Grad­u­ate School of Busi­ness (2024, scheduled)
‣ Rut­gers Uni­ver­si­ty, Rut­gers Busi­ness School, Post-Pan­dem­ic Sup­ply Chain and Health­care Man­age­ment Con­fer­ence (2021)
‣ Sapien­za Uni­ver­si­ty of Rome, Depart­ment of Com­put­er, Con­trol, and Man­age­ment Engi­neer­ing Anto­nio Ruber­ti (2019)
‣ Sin­ga­pore Man­age­ment Uni­ver­si­ty, Lee Kong Chi­an School of Busi­ness (2020)
‣ Stan­ford Uni­ver­si­ty, Grad­u­ate School of Busi­ness (2023)
‣ Stan­ford Uni­ver­si­ty, Eco­nom­ics of Trans­plan­ta­tion Work­shop (2020)
‣ Stevens Insti­tute of Tech­nol­o­gy, School of Busi­ness (2013)
‣ Tem­ple Uni­ver­si­ty, Fox School of Busi­ness (2024)
‣ Tem­ple Uni­ver­si­ty, Fox School of Busi­ness (2021)
‣ Texas Chris­t­ian Uni­ver­si­ty, Nee­ley School of Busi­ness, Nee­ley Ana­lyt­ics Ini­tia­tive, Keynote speak­er (2022)
‣ Uni­ver­si­ty at Buf­fa­lo, School of Man­age­ment (2024)
‣ Uni­ver­si­ty Col­lege Lon­don, UCL School of Man­age­ment (2019)
‣ Uni­ver­si­ty of Alber­ta, Alber­ta School of Busi­ness (2023)
‣ Uni­ver­si­ty of British Colum­bia, Saud­er School of Busi­ness (2017)
‣ Uni­ver­si­ty of Cal­i­for­nia, Berke­ley, Haas School of Busi­ness (2013)
‣ Uni­ver­si­ty of Cal­i­for­nia, Irvine, Paul Mer­age School of Busi­ness (2024)
‣ Uni­ver­si­ty of Cal­i­for­nia, Los Ange­les, UCLA Ander­son School of Man­age­ment (2022)
‣ Uni­ver­si­ty of Cal­i­for­nia, River­side, School of Busi­ness (2022)
‣ Uni­ver­si­ty of Cam­bridge, Judge Busi­ness School (2023)
‣ Uni­ver­si­ty of Cam­bridge, Judge Busi­ness School (2019)
‣ Uni­ver­si­ty of Chica­go, Booth School of Busi­ness (2017)
‣ Uni­ver­si­ty of Chica­go, Booth School of Busi­ness (2016)
‣ Uni­ver­si­ty of Cincin­nati, Lind­ner Col­lege of Busi­ness (2023)
‣ Uni­ver­si­ty of Con­necti­cut, School of Busi­ness (2021)
‣ Uni­ver­si­ty of Dubai, Col­lege of Busi­ness Admin­is­tra­tion (2023)
‣ Uni­ver­si­ty of Hong Kong, Asia Glob­al Insti­tute (2022)
‣ Uni­ver­si­ty of Hong Kong, Fac­ul­ty of Busi­ness and Eco­nom­ics (2013)
‣ Uni­ver­si­ty of Illi­nois Urbana-Cham­paign, Gies Col­lege of Busi­ness (2022)
‣ Uni­ver­si­ty of Kansas, School of Busi­ness (2021)
‣ Uni­ver­si­ty of Liv­er­pool, Man­age­ment School (2024)
‣ Uni­ver­si­ty of Mary­land, Robert H. Smith School of Busi­ness (2022)
‣ Uni­ver­si­ty of Mass­a­chu­setts Amherst, INFORMS Chap­ter (2022)
‣ Uni­ver­si­ty of Mem­phis, FedEx Insti­tute of Tech­nol­o­gy (2025, scheduled)
‣ Uni­ver­si­ty of Mia­mi, Mia­mi Her­bert Busi­ness School, Health­care Ana­lyt­ics Work­shop (2024)
‣ Uni­ver­si­ty of Min­neso­ta, Carl­son School of Man­age­ment (2013)
‣ Uni­ver­si­ty of Nebraska–Lincoln, Col­lege of Busi­ness (2022)
‣ Uni­ver­si­ty of North Car­oli­na at Chapel Hill, Kenan Fla­gler Busi­ness School (2022)
‣ Uni­ver­si­ty of North Car­oli­na at Chapel Hill, Kenan Fla­gler Busi­ness School–Healthcare OM Work­shop (2019)
‣ Uni­ver­si­ty of Ore­gon, Lundquist Col­lege of Busi­ness (2025, scheduled)
‣ Uni­ver­si­ty of Oxford, Saïd Busi­ness School (2019)
‣ Uni­ver­si­ty of Penn­syl­va­nia, The Whar­ton School (2023)
‣ Uni­ver­si­ty of Rochester, Simon Busi­ness School (2019)
‣ Uni­ver­si­ty of South­ern Cal­i­for­nia, Gould School of Law (2023)
‣ Uni­ver­si­ty of South­ern Cal­i­for­nia, Mar­shall School of Busi­ness, (2023)
‣ Uni­ver­si­ty of South­ern Cal­i­for­nia, Depart­ment of Indus­tri­al and Sys­tems Engi­neer­ing (2015)
‣ Uni­ver­si­ty of Texas at Dal­las, Naveen Jin­dal School of Man­age­ment (2018)
‣ Uni­ver­si­ty of Toron­to, Rot­man School of Man­age­ment (2023)
‣ Uni­ver­si­ty of Utah, David Eccles School of Busi­ness (2013)
‣ Uni­ver­si­ty of Vir­ginia, Dar­d­en School of Busi­ness (2018)
‣ Uni­ver­si­ty of Wash­ing­ton, Fos­ter School of Busi­ness, MSCM Leader Series (2021)
‣ Uni­ver­si­ty of Water­loo, Depart­ment of Man­age­ment Sci­ences (2015)
‣ Uni­ver­si­ty of Wisconsin–Madison, Wis­con­sin School of Busi­ness (2019)
‣ Vir­ginia Tech, Pam­plin Col­lege of Busi­ness (2025, scheduled)
‣ Wash­ing­ton Uni­ver­si­ty in St. Louis, Olin Busi­ness School (2020)
‣ Yale Uni­ver­si­ty, Yale School of Man­age­ment (2013)