Interesting, Important, and Impactful Operations Management

Published Online:https://doi.org/10.1287/msom.2019.0813

References

  • Abhishek V, Guajardo J, Zhang Z (2019) Business models in the sharing economy: Manufacturing durable goods in the presence of peer-to-peer rental markets. Working paper, University of California, Irvine, Irvine.Google Scholar
  • Acimovic J, Graves S (2015) Making better fulfillment decisions on the fly in an online retail environment. Manufacturing Service Oper. Management 17(1):34–51.LinkGoogle Scholar
  • Alaei S, Malekian A, Mostagir M (2016) A dynamic model of crowdfunding. Ross School of Business Paper 1307, University of Michigan, Ann Arbor.Google Scholar
  • Allon G, Cohen M, Sinchaisri W (2018) The impact of behavioral and economic drivers on gig economy workers. Working paper, Unniversity of Pennsylvania, Philadelphia.Google Scholar
  • Aouad A, Farias VF, Levi R (2018) Assortment optimization under consider-then-choose choice models. Working paper, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Argote L, Epple D (1990) Learning curves in manufacturing. Science 247(4945):920–924.Google Scholar
  • Arora K, Girotra K, Zheng F (2019) Pooled transportation: Consumer preferences and system design. Working Paper, Cornell University, Ithaca, NY.Google Scholar
  • Arora P, Rahmani M, Ramachandran K (2017) Service design of non-profits that serve distressed individuals. Georgia Tech Scheller College of Business Research Paper 17-33, Georgia Institute of Technology, Atlanta.Google Scholar
  • Astashkina E, Belavina E, Marinesi S (2019) The environmental impact of the advent of online grocery retailing. Working paper, University of Michigan, Ann Arbor.Google Scholar
  • Autor D (2015) Why are there still so many jobs? The history and future of workplace automation. J. Econom. Perspect. 29(3):3–30.CrossrefGoogle Scholar
  • Autor D (2019) Work of the past, work of the future. Amer. Econom. Assoc. Papers Proc. Forthcoming.Google Scholar
  • Avci B, Girotra K, Netessine S (2015) Electric vehicles with a battery switching station: Adoption and environmental impact. Management Sci. 61(4):772–794.LinkGoogle Scholar
  • Babich V, Marinesi S, Tsoukalas G (2017) Does crowdfunding benefit entrepreneurs and venture capital investors? Working paper, University of Pennsylvania, Philadelphia.Google Scholar
  • Bai J, So KC, Tang CS, Chen X, Wang H (2018) Coordinating supply and demand on an on-demand service platform with impatient customers. Manufacturing Service Oper. Management 21(3):556–570.Google Scholar
  • Balseiro SR, Besbes O, Weintraub GY (2015) Repeated auctions with budgets in ad exchanges: Approximations and design. Management Sci. 61(4):864–884.LinkGoogle Scholar
  • Bastani H, Bayati M (2018) Online decision-making with high-dimensional covariates. Working paper, University of Pennsylvania, Philadelphia.Google Scholar
  • Baucells M, Osadchiy N, Ovchinnikov A (2016) Behavioral anomalies in consumer wait-or-buy decisions and their implications for markdown management. Oper. Res. 65(2):357–378.LinkGoogle Scholar
  • Belavina E, Girotra K (2012) The relational advantages of intermediation. Management Sci. 58(9):1614–1631.LinkGoogle Scholar
  • Belavina E, Girotra K, Kabra A (2017) Online grocery retail: Revenue models and environmental impact. Management Sci. 63(6):1781–1799.LinkGoogle Scholar
  • Belavina E, Girotra K, Moon K, Zhang J (2019) Relationships in online marketplaces. Working paper, Cornell University, Ithaca, NY.Google Scholar
  • Belavina E, Marinesi S, Tsoukalas G (2018) Designing crowdfunding platform rules to deter misconduct. Working paper, Cornell University, Ithaca, NY.Google Scholar
  • Bell D, Gallino S, Moreno A (2018) Offline showrooms in omnichannel retail: Demand and operational benefits. Management Sci. 64(4):1629–1651.LinkGoogle Scholar
  • Benjaafar S, Ding J-Y, Kong G, Taylor T (2019) Labor welfare in on-demand service platforms. Working paper, University of Minnesotta, Minneapolis.Google Scholar
  • Berenguer G, Shen M (2019) Challenges and strategies in managing nonprofit operations: An operations management perspective. Manufacturing Service Oper. Management, ePub ahead of print July 8, https://doi.org/10.1287/msom.2018.0758.Google Scholar
  • Besbes O, Castro F, Lobel I (2018) Surge pricing and its spatial supply response. Columbia Business School Research Paper 18-25, Columbia University, New York.Google Scholar
  • Besbes O, Gur Y, Zeevi A (2016) Optimization in online content recommendation services: Beyond click-through rates. Manufacturing Service Oper. Management 18(1):15–33.LinkGoogle Scholar
  • Bimpikis K, Candogan O, Ehsani S (2019) Supply disruptions and optimal network structures. Management Sci, ePub ahead of print August 1, https://doi.org/10.1287/mnsc.2018.3217.LinkGoogle Scholar
  • Bimpikis K, Candogan O, Saban D (2018) Spatial pricing in ride-sharing networks. Working paper, Stanford University, Stanford, CA.Google Scholar
  • Bray R (2018) Operational transparency: Showing when work gets done. Working paper, Northwestern University, Evanston, IL.Google Scholar
  • Brynjolfsson E, McAfee A (2014) The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies (W. W. Norton & Company, New York).Google Scholar
  • Buell RW, Kim T, Tsay C-J (2017) Creating reciprocal value through operational transparency. Management Sci. 63(6):1673–1695.LinkGoogle Scholar
  • Cachon GP (2012) What is interesting in operations management? Manufacturing Service Oper. Management 14(2):166–169.LinkGoogle Scholar
  • Cachon GP (2014) Retail store density and the cost of greenhouse gas emissions. Management Sci. 60(8):1907–1925.LinkGoogle Scholar
  • Cachon GP (2019) A research framework for business models: What is common among fast fashion, e-tailing, and ride sharing?Management Sci., ePub ahead of print August 29, https://doi.org/10.1287/mnsc.2018.3275.Google Scholar
  • Cachon GP, Daniels KM, Lobel R (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing Service Oper. Management 19(3):368–384.LinkGoogle Scholar
  • Caro F, Gallien J (2012) Clearance pricing optimization for a fast-fashion retailer. Oper. Res. 60(6):1404–1422.LinkGoogle Scholar
  • Chakraborty S, Swinney R (2017) Signaling to the crowd: Private quality information and rewards-based crowdfunding. Working paper, Duke University, Durham, NC.Google Scholar
  • Chen C, Savva N (2018) Unintended consequences of hospital regulation: The case of the hospital readmissions reduction program. Working paper, London Business School, London.Google Scholar
  • Chen H, Harrison JM, Mandelbaum A, van Ackere A, Wein LM (1988) Empirical evaluation of a queueing network model for semiconductor wafer fabrication. Oper. Res. 36(2):202–215.LinkGoogle Scholar
  • Chen MK, Chevalier JA, Rossi PE, Oehlsen E (2019) The value of flexible work: Evidence from Uber drivers. J. Political Econom. Forthcoming.Google Scholar
  • Clark KB, Fujimoto T, Cook A (1991) Product Development Performance: Strategy, Organization, and Management in the World Auto Industry (Harvard Business School Press, Boston).Google Scholar
  • Cui R, Li J, Zhang DJ (2016) Discrimination with incomplete information in the sharing economy: Evidence from field experiments on Airbnb. Working paper, Indiana University, Bloomington.Google Scholar
  • Dai T, Tayur SR (2019) Healthcare operations management: A snapshot of emerging research. Manufacturing Service Oper. Management, ePub ahead of print August 1, https://doi.org/10.1287/msom.2019.0778.Google Scholar
  • Dai Y, Feng T, Tang CS, Wu X, Zhang F (2019) Twenty years in the making: The evolution of the journal of Manufacturing & Service Operations Management. Manufacturing Service Oper. Management, ePub ahead of print July 17, https://doi.org/10.1287/msom.2019.0791.Google Scholar
  • Daniels KM, Grinstein-Weiss M (2018) The impact of the gig-economy on financial hardship among low-income families. Working paper, Washington University in St. Louis, St. Louis.Google Scholar
  • de Zegher J, Iancu DA, Plambeck E (2019) Sustaining smallholders and rainforests by eliminating payment delay in a commodity supply chain-it takes a village. Management Sci. Forthcoming.Google Scholar
  • Dzyabura D, Jagabathula S (2017) Offline assortment optimization in the presence of an online channel. Management Sci. 64(6):2767–2786.LinkGoogle Scholar
  • Farias VF, Jagabathula S, Shah D (2018) Building optimized and hyperlocal product assortments: A nonparametric choice approach. Working paper, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Feldman P, Li J, Tsai H (2016) Welfare implications of congestion pricing: Evidence from SFpark. Working paper, Boston University, Boston.Google Scholar
  • Fisher M (1997) What is the right supply chain for your product? Harvard Bus. Rev. Accessed July 1, 2019, https://pdfs.semanticscholar.org/647a/c2ded3d69e41bb09ef5556aa942e01abd14d.pdf.Google Scholar
  • Freund D, Henderson SG, Shmoys DB (2016) Minimizing multimodular functions and allocating capacity in bike-sharing systems. Eisenbrand F, Koenemann J, eds. Integer Programming and Combinatorial Optimization—IPCO 2017, Lecture Notes in Computer Science, vol. 10328 (Springer, Cham, Switzerland), 186–198.Google Scholar
  • Fung V (1998) Fast, global, and entrepreneurial: Supply chain management, Hong Kong style. An interview with Victor Fung. Interview by Joan Magretta. Harvard Bus. Rev. 76(5):102–114.Google Scholar
  • Gallino S, Moreno A (2016) Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information. Management Sci. 60(6):1434–1451.LinkGoogle Scholar
  • Gallino S, Moreno A, Stamatopoulis I (2017) Channel integration, sales dispersion, and inventory management. Management Sci. 63(9):2813–2831.LinkGoogle Scholar
  • Gan J, Tsoukalas G, Netessine S (2019) Inventory, speculators and initial coin offerings. Working paper, Unniversity of Pennsylvania, Philadelphia.Google Scholar
  • Gaur V, Honhon D (2006) Assortment planning and inventory decisions under a locational choice model. Management Sci. 52(10):1528–1543.LinkGoogle Scholar
  • Girotra K, Netessine S (2014) The Risk-Driven Business Model: Four Questions That Will Define Your Company (Harvard Business Press, Boston).Google Scholar
  • Golrezaei N, Nazerzadeh H, Rusmevichientong P (2014) Real-time optimization of personalized assortments. Management Sci. 60(6):1532–1551.LinkGoogle Scholar
  • Guajardo J (2018) Third-party ownership business models and the operational performance of solar energy systems. Manufacturing Service Oper. Management 20(4):788–800.Google Scholar
  • Guo R, Lee HL, Swinney R (2016) Responsible sourcing in supply chains. Management Sci. 62(9):2722–2744.LinkGoogle Scholar
  • Hansen S (2012) How Zara grew into the world’s largest fashion retailer. New York Times (November 9), https://www.nytimes.com/2012/11/11/magazine/how-zara-grew-into-the-worlds-largest-fashion-retailer.html.Google Scholar
  • Jónasson JO, Deo S, Gallien J (2017) Improving HIV early infant diagnosis supply chains in sub-Saharan Africa: Models and application to Mozambique. Oper. Res. 65(6):1479–1493.LinkGoogle Scholar
  • Jordan WC, Graves SC (1995) Principles on the benefit of manufacturing process flexibility. Management Sci. 41(4):577–594.LinkGoogle Scholar
  • Kabra A, Belavina E, Girotra K (2018) Bike-share systems: Accessibility and availability. Chicago Booth Research Paper 15-04, University of Chicago, Chicago.Google Scholar
  • Kalkanci B, Rahmani M, Toktay LB (2019) Social sustainability in emerging economies: The role of inclusive innovation. Production Oper. Management. Forthcoming.CrossrefGoogle Scholar
  • Katz LF, Krueger AB (2016) The rise and nature of alternative work arrangements in the United States, 1995–2005. ILR Rev. 72(2):382–416.Google Scholar
  • Lee HL, Padmanabhan V, Whang S (1997) Information distortion in a supply chain: The bullwhip effect. Management Sci. 43(4):546–558.LinkGoogle Scholar
  • Lee HL, Tang CS (1997) Modelling the costs and benefits of delayed product differentiation. Management Sci. 43(1):40–53.LinkGoogle Scholar
  • Li J, Netessine S (2018) Higher market thickness reduces matching rate in online platforms: Evidence from a quasi-experiment. Ross School of Business Paper, University of Michigan, Ann Arbor.Google Scholar
  • MacDuffie JP (1995) Human resource bundles and manufacturing performance: Organizational logic and flexible production systems in the world auto industry. Indust. Labor Relations Rev. 48(2):197–221.CrossrefGoogle Scholar
  • MacDuffie JP, Sethuraman K, Fisher ML (1996) Product variety and manufacturing performance: Evidence from the international automotive assembly plant study. Management Sci. 42(3):350–369.LinkGoogle Scholar
  • Moon K, Bergemann P, Brown D, Chen A, Chu J, Eisen E, Fisher G, Loyalka PK, Rho S, Cohen J (2018) Manufacturing productivity with worker turnover. Working paper, University of Pennsylvania, Philadelphia.Google Scholar
  • Moreno A, Terwiesch C (2014) Doing business with strangers: Reputation in online service marketplaces. Inform. Systems Res. 25(4):865–886.LinkGoogle Scholar
  • Netessine S, Rudi N (2006) Supply chain choice on the internet. Management Sci. 52(6):844–864.LinkGoogle Scholar
  • Parker C, Ramdas K, Savva N (2016) Is it enough? Evidence from a natural experiment in India’s agriculture markets. Management Sci. 62(9):2481–2503.LinkGoogle Scholar
  • Plambeck EL, Ramdas K (2019) Alleviating poverty by empowering women through business model innovation: M&SOM insights and opportunities. Manufacturing Service Oper. Management. Forthcoming.Google Scholar
  • Porteus E (1986) Optimal lot sizing, process quality improvement and setup cost reduction. Oper. Res. 34(1):137–144.LinkGoogle Scholar
  • Ramdas K, Darzi A (2017) Adopting innovations in care delivery: The case of shared medical appointments. New England J. Medicine 376:1105–1107.Google Scholar
  • Ramdas K, Williams J (2019) Operations leadership and productivity: A study of the U.S. automobile assembly plants. Working paper, London Business School, London.Google Scholar
  • Sachs JD, Warner AM (1995) Economic convergence and economic policies. NBER Working Paper No. 5039, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Shunko M, Niederhoff J, Rosokha Y (2017) Humans are not machines: The behavioral impact of queueing design on service time. Management Sci. 64(1):453–473.LinkGoogle Scholar
  • Song H, Tucker AL, Murrell KL (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.LinkGoogle Scholar
  • Song J, van Houtum G-J, Mieghem JAV (2019) Capacity and inventory management: Review, trends, and projects. Manufacturing Service Oper. Management. Forthcoming.Google Scholar
  • Swinney R, Cachon G, Netessine S (2011) Capacity investment timing by start-ups and established firms in new markets. Management Sci. 57(4):763–777.LinkGoogle Scholar
  • Talluri KT, Van Ryzin GJ (2006) The Theory and Practice of Revenue Management, International Series in Operations Research & Management Science, vol. 68 (Springer Science & Business Media, New York).Google Scholar
  • Taylor T (2018) On-demand service platforms. Working paper, University of California, Berkeley, Berkeley.Google Scholar
  • Thorlakson T, de Zegher JF, Lambin EF (2018) Companies’ contribution to sustainability through global supply chains. Proc. Natl. Acad. Sci. USA 115(9):2072–2077.Google Scholar
  • Tomlin B (2006) On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Sci. 52(5):639–657.LinkGoogle Scholar
  • Uppari BS, Popescu I, Netessine S (2019) Selling off-grid light to liquidity-constrained consumers. Manufacturing Service Oper. Management 21(2):308–326.LinkGoogle Scholar
  • Wible B, Mervis J, Wigginton NS (2014) Rethinking the global supply chain. Science 344(6188):1100–1103.CrossrefGoogle Scholar
  • Womack JP, Jones DT, Roos D (1990) The Machine That Changed the World (Simon & Schuster, New York).Google Scholar
  • Xu L, Wang C, Li H (2017) Decision and coordination of low-carbon supply chain considering technological spillover and environmental awareness. Sci. Rep. 7(1):Article 3107.Google Scholar
  • Xu Y, Tan T, Netessine S (2018) When is the root of all evil not money? The impact of load on operational risk at a commercial bank. Working paper, University of Illinois at Urbana–Champaign, Champaign.Google Scholar
  • Yang Y, den Broeck JV, Wein L (2013) Ready-to-use food-allocation policy to reduce the effects of childhood undernutrition in developing countries. Proc. Natl. Acad. Sci. USA 110(12):4545–4550.CrossrefGoogle Scholar
  • Zhang C, Atasu A, Ayer T, Toktay LB (2019a) Truthful mechanisms for medical surplus product allocation. Manufacturing Service Oper. Management. Forthcoming.LinkGoogle Scholar
  • Zhang D, Dai H, Dong L, Qi F, Zhang N, Liu X, Liu Z, Yang J (2019b) How do price promotions affect customer behavior on retailing platforms? Evidence from a large randomized experiment on Alibaba. Management Sci. Forthcoming.LinkGoogle Scholar
  • Zheng F, He P, Belavina E, Girotra K (2018) Customer preference and station network in the London bike share system. Working paper, Columbia University, New York.Google Scholar
  • Zipkin PH (2000) Foundations of Inventory Management (McGraw-Hill/Irwin, New York).Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.