OM Forum—Empirical Research in Operations Management: From Field Studies to Analyzing Digital Exhaust

Published Online:https://doi.org/10.1287/msom.2018.0723

References

  • Batt R, Terwiesch C (2015) Transparency in waiting lines: An empirical analysis of patient abandonment behavior in the emergency department. Management Sci. 61(1):39–59.LinkGoogle Scholar
  • Bavafa H, Hitt L, Terwiesch C (2018) The impact of e-visits on visit frequencies and patient health: Evidence from primary care. Management Sci. 64(12):5461–5480.LinkGoogle Scholar
  • Cachon G (2012) What is interesting in operations management? Manufacturing Service Oper. Management 14(2):166–169.LinkGoogle Scholar
  • Davis M (1971) That’s interesting. Philos. Soc. Sci. 1:309–344.CrossrefGoogle Scholar
  • Fisher, M (2007) Strengthening the empirical base of operations management. Manufacturing Service Oper. Management 7(4):368–382.LinkGoogle Scholar
  • Guadagni P, Little J (1983) A logit model of brand choice calibrated on scanner data. Marketing Sci. 2(3):203–238.LinkGoogle Scholar
  • Hofman J, Sharma A, Watts D (2017) Prediction and explanation in social systems. Science 355(6324):486–488.CrossrefGoogle Scholar
  • KC D, Terwiesch C (2009) Impact of workload on productivity: An econometric study of hospital operations. Management Sci. 55(9):1486–1498.LinkGoogle Scholar
  • KC D, Terwiesch C (2011) The effects of focus in operational performance: Evidence from California hospitals. Management Sci. 57(11):1897–1912.LinkGoogle Scholar
  • Kleinberg J, Ludwig J, Mullainathan S, Obermeyer Z (2015) Prediction policy problems. Am. Econ. Rev. 105(5):491–495.Google Scholar
  • Meng L, Batt R, Terwiesch C (2018) The impact of facility layout on the provision of care: A study of nurse movements in the emergency department. Working paper, Wharton School of Business, Philadelphia.Google Scholar
  • Moreno A, Terwiesch C (2015) Pricing and production flexibility: An empirical analysis of the U.S. automotive industry. Manufacturing Service Oper. Management 17(4):428–444.LinkGoogle Scholar
  • Neef D (2014) Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation (FT Press Analytics, Upper Saddle River, NJ).Google Scholar
  • Olivares M, Lu Y, Musalem A, Schilkrut A (2013) Measuring the effect of queues on customer purchases. Management Sci. 59(8): 1743–1763LinkGoogle Scholar
  • Simmons J, Simonsohn U (2017) Power posing: P-curve evidence. Psych. Sci. 28(5):687–693.CrossrefGoogle Scholar
  • Staats BR, Dai H, Hofmann D, Milkman KL (2017) Individual electronic monitoring: An empirical examination of hand hygiene in healthcare. Management Sci. 63(5):1563–1585.LinkGoogle Scholar
  • Taylor FW (1919) The Principles of Scientific Management (Harper, New York).Google Scholar
  • Ho TH, Lim N, Reza S, Xia X (2017) Causal inference models in operations management. Manufacturing Service Oper. Management 19(4):509–525.LinkGoogle Scholar
  • Terwiesch C, Loch CH (1999) Measuring the effectiveness of overlapping development activities. Management Sci. 45(4):455–465.LinkGoogle Scholar
  • Terwiesch C, Ren JZ, Ho TH, Cohen M (2005) An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Management Sci. 51(2):208–220.LinkGoogle Scholar
  • Terwiesch C, Olivares M, Staats BR, Gaur V (2019) A review of empirical operations management over the last two decades. Manufacturing Service Oper. Management. Forthcoming.LinkGoogle Scholar
  • Tucker A (2004) The impact of operational failures on hospital nurses and their patients. J. Oper. Management 22(2):151–169.CrossrefGoogle Scholar
  • Webb E, Campbell D, Schwartz R, Sechrest L (1999) Unobtrusive Measures, revised edition (Sage Publications, Thousand Oaks, CA).Google Scholar
  • Womack J, Jones DT, Roos D (1991) The Machine that Changed the World: The Story of Lean Production (Free Press, 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.