Abhishek, V., Dogan, M., and Jacquillat, A. (2021). Strategic timing and dynamic pricing for online resource allocation. Management Science, 67(8):4880–4907.
Barrios, J. M., Hochberg, Y. V., and Yi, H. (2022). Launching with a parachute: The gig economy and new business formation. Journal of Financial Economics, 144(1):22–43.
Bauwens, L., Koop, G., Korobilis, D., and Rombouts, J. (2015). The contribution of structural break models to forecasting macroeconomic series. Journal of Applied Econometrics, 30(4):596– 620.
Boot, T. and Pick, A. (2020). Does modeling a structural break improve forecast accuracy? Journal of Econometrics, 215(1):35–59.
Chen, M. K., Chevalier, J. A., Rossi, P. E., and Oehlsen, E. (2019). The value of flexible work: Evidence from uber drivers. Journal of Political Economy, 127(6):2735–2794.
Chen, Y., Wang, T., and Samworth, R. J. (2022). High-dimensional, multiscale online changepoint detection. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84(1):234– 266.
Chib, S. (1998). Estimation and comparison of multiple change-point models. Journal of Econometrics, 86:221–241.
Dufays, A. and Rombouts, J. V. (2020). Relevant parameter changes in structural break models. Journal of Econometrics, 217(1):46–78.
Elliott, G. and Timmermann, A. (2016). Economic Forecasting. Princeton University Press, Princeton, New Jersey.
- Elmachtoub, A. N. and Grigas, P. (2022). Smart “predict, then optimize”. Management Science, 68(1):9–26.
Paper not yet in RePEc: Add citation now
Fryzlewicz, P. (2014). Wild binary segmentation for multiple change-point detection. The Annals of Statistics, 42(6):2243–2281.
Garg, N. and Nazerzadeh, H. (2022). Driver surge pricing. Management Science, 68(5):3219–3235.
Giacomini, R. and Rossi, B. (2009). Detecting and Predicting Forecast Breakdowns. The Review of Economic Studies, 76(2):669–705.
Guda, H. and Subramanian, U. (2019). Your uber is arriving: Managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Science, 65(5):1995–2014.
- Hevner, A., March, S., Park, J., and Ram, S. (2004). Design science in information systems research. Management Information Systems Quarterly, 28(1):75–105.
Paper not yet in RePEc: Add citation now
- Hochreiter, S. and Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8):1735–1780.
Paper not yet in RePEc: Add citation now
Killick, R. and Eckley, I. (2014). changepoint: An R package for changepoint analysis. Journal of statistical software, 58(3):1–19.
- Killick, R., Fearnhead, P., and Eckley, I. A. (2012). Optimal detection of changepoints with a linear computational cost. Journal of the American Statistical Association, 107(500):1590–1598.
Paper not yet in RePEc: Add citation now
Kremer, M., Moritz, B., and Siemsen, E. (2011). Demand forecasting behavior: System neglect and change detection. Management Science, 57(10):1827–1843.
Liu, S., He, L., and Shen, M. Z.-J. (2021). On-time last-mile delivery: Order assignment with travel-time predictors. Management Science, 67(7):4095–4119.
Liu, X., Wang, G. A., Fan, W., and Zhang, Z. (2020). Finding useful solutions in online knowledge communities: A theory-driven design and multilevel analysis. Information Systems Research, 31(3):731–752.
Luo, L. and Song, P. X.-K. (2020). Renewable estimation and incremental inference in generalized linear models with streaming data sets. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 82(1):69–97.
Marcellino, M., Stock, J. H., and Watson, M. W. (2006). A comparison of direct and iterated mul32 tistep ar methods for forecasting macroeconomic time series. Journal of Econometrics, 135:499– 526.
Parker, G. G. and Van Alstyne, M. W. (2005). Two-sided network effects: A theory of information product design. Management Science, 51(10):1494–1504.
Pesaran, M. H. and Timmermann, A. (2007). Selection of estimation window in the presence of breaks. Journal of Econometrics, 137(1):134–161.
Pesaran, M. H., Pick, A., and Pranovich, M. (2013). Optimal forecasts in the presence of structural breaks. Journal of Econometrics, 177(2):134–152.
Rochet, J.-C. and Tirole, J. (2003). Platform Competition in Two-Sided Markets. Journal of the European Economic Association, 1(4):990–1029.
Rossi, B. (2021). Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them. Journal of Economic Literature, 59(4).
Taylor, S. and Letham, B. (2021). Prophet: Automatic Forecasting Procedure. R package version 0.1.0. Taylor, S. J. and Letham, B. (2018). Forecasting at scale. The American Statistician, 72(1):37–45.
- UNCTAD (2021). Estimates of global e-commerce 2019 and preliminary assessment of covid-19 impact on online retail 2020. United Nations Conference on Trade and Development.
Paper not yet in RePEc: Add citation now
- Wang, Y., Currim, F., and Ram, S. (2022). Deep learning of spatiotemporal patterns for urban mobility prediction using big data. Information Systems Research, 33(2):579–598.
Paper not yet in RePEc: Add citation now
- Wu, J., Zheng, Z. E., and Zhao, J. L. (2021). Fairplay: Detecting and deterring online customer misbehavior. Information Systems Research, 32(4):1323–1346.
Paper not yet in RePEc: Add citation now