Field Experiment on the Profit Implications of Merchants’ Discretionary Power to Override Data-Driven Decision-Making Tools
Published Online:28 Aug 2020https://doi.org/10.1287/mnsc.2020.3743
References
- (2018) Advanced machine learning in action: Identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. Digital Medicine 1(8):1–7.Google Scholar
- (2002) The role of information and opportunism in the choice of buyer-supplier relationships. J. Account. Res. 40(2):247–278.Crossref, Google Scholar
- (2018) The impact of big data on firm performance: An empirical investigation. NBER Working Paper 24334. National Bureau of Economic Research, Cambridge, MA.Google Scholar
- (2019) Dynamic procurement of new products with covariate information: The residual tree method. Manufacturing Service Oper. Management 21(4):713–948.Link, Google Scholar
- (2018) How analytics and digital will drive next-generation retail merchandising. McKinsey & Company (August 21), https://www.mckinsey.com/industries/retail/our-insights/how-analytics-and-digital-will-drive-next-generation-retail-merchandising#.Google Scholar
- (2017) Past the point of speeding up: The negative effects of workload saturation on efficiency and patient severity. Management Sci. 63(4):1042–1062.Link, Google Scholar
- (2016) The power and limits of predictive approaches to observational-data-driven optimization. Working paper, Massachusetts Institute of Technology, Cambridge.Google Scholar
- (2016) The rapid adoption of data-driven decision-making. Amer. Econom. Rev. 106(5):133–139.Crossref, Google Scholar
- (2011) Market heterogeneity and local capacity decision in services. Manufacturing Service Oper. Management 13(1):2–19.Link, Google Scholar
- (2020) Believing in analytics: Managers’ adherence to price recommendations from a DSS. Working paper, Anderson School of Management, University of California, Los Angeles.Google Scholar
- (2020) The future of retail operations. Manufacturing Service Oper. Management 22(1):47–58.Link, Google Scholar
- (2019) Bias and productivity in humans and algorithms: Theory and evidence from resume screening. Working paper, Columbia University, New York.Google Scholar
- (1982) Strategic information transmission. Econometrica 50(6):1431–1451.Crossref, Google Scholar
- (2018) Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Sci. 64(3):1155–1170.Link, Google Scholar
- (2019) Strategic automation and decision-making authority. Preprint, submitted September 28, http://dx.doi.org/10.2139/ssrn.3226222.Google Scholar
- (2020) Behavioral operations: Past, present, and future. Manufacturing Service Oper. Management 22(1):191–202.Google Scholar
- (2015) Sales force behavior, pricing information, and pricing decisions. Manufacturing Service Oper. Management 17(4):495–510.Link, Google Scholar
- (1996) Cheap talk. J. Econom. Perspect. 10(3):103–118.Crossref, Google Scholar
- (2016) Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing Service Oper. Management 18(1):69–88.Link, Google Scholar
- (2019) Managerial insight and “optimal” algorithms. Working paper, Darla Moore School of Business, University of South Carolina, Columbia.Google Scholar
- (2007) Operations systems with discretionary task completion. Management Sci. 53(1):61–77.Link, Google Scholar
- (2017) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.Link, Google Scholar
- (2018) Is expert input valuable? The case of predicting surgery duration. Seoul J. Bus. 25(2):1–34.Google Scholar
- (2015) Causal Inference in Statistics, Social, and Biomedical Sciences (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (2014) ICU admission control: An empirical study of capacity allocation and its implication for patient outcomes. Management Sci. 61(1):19–38.Link, Google Scholar
- (2017) Human decisions and machine predictions. Quart. J. Econom. 133(1):237–293.Crossref, Google Scholar
- (2019) Predictive analytics and the changing manufacturing employment relationship: Plant level evidence from census data. Working paper, Kenan-Flagler Business School University of North Carolina, Chapel Hill.Google Scholar
- (2000) Price protection in the personal computer industry. Management Sci. 46(4):467–482.Link, Google Scholar
- (1965) Exploit the product life cycle. Harvard Bus. Rev. (November), https://hbr.org/1965/11/exploit-the-product-life-cycle.Google Scholar
- (2013) Measuring the effect of queues on customer purchases. Management Sci. 59(8):1743–1763.Link, Google Scholar
- (2018) Automation, skills use, and training. Working Paper No. 202, Organisation for Economic Cooperation and Development, Paris, France.Google Scholar
- (2011) Trust in forecast information sharing. Management Sci. 57(6):1111–1137.Link, Google Scholar
- (2015) The effectiveness of field price discretion: Empirical evidence from auto lending. Management Sci. 61(8):1741–1759.Link, Google Scholar
- (2010) Ordering behavior in retail stores and implications for automated replenishment. Management Sci. 56(5):766–784.Link, Google Scholar

