Lorko, Matej and Servátka, Maroš and Zhang, Le (2020): Hidden inefficiency: Strategic inflation of project schedules.
Preview |
PDF
MPRA_paper_103032.pdf Download (885kB) | Preview |
Abstract
Establishing realistic project plans and completing the resulting business projects on schedule is crucial for organizations striving to effectively utilize their resources. However, incentivizing on-time project delivery may introduce moral hazard, as people may respond to estimation accuracy incentives by strategically inflating project duration estimates and subsequently prolonging the project execution. While the project is delivered on time, the resources are underutilized. We conjecture that these perverse effects can be mitigated by introducing incentives to complete the project as soon as possible (speed incentives) in addition to the schedule accuracy incentives. We conduct a diagnostic test of the effect of accuracy and speed incentives on the process of project estimation and delivery. Our study presents direct empirical evidence that the incentive structure rewarding solely the estimation accuracy can result in hidden inefficiency due to inflated estimates and deliberately prolonged project execution. However, when speed incentives are implemented alongside estimation accuracy incentives, the estimates are significantly lower and the project is completed more quickly, without compromising the schedule accuracy. Aligning the objectives of a project owner with those of planners, by incentivizing the planners for both estimation accuracy and quick project completion, can therefore foster more compressed but still accurate and reliable project schedules and accelerated project delivery. In summary, our study contributes to the economic analysis of incentive structures in project management by identifying a hidden inefficiency that could be present in projects delivered “on time” and by pointing out a mechanism that mitigates the risk of moral hazard.
Item Type: | MPRA Paper |
---|---|
Original Title: | Hidden inefficiency: Strategic inflation of project schedules |
Language: | English |
Keywords: | project management, project planning, time management, duration estimation, strategic overrepresentation, moral hazard |
Subjects: | C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C91 - Laboratory, Individual Behavior D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O21 - Planning Models ; Planning Policy O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O22 - Project Analysis |
Item ID: | 103032 |
Depositing User: | Maroš Servátka |
Date Deposited: | 28 Sep 2020 13:28 |
Last Modified: | 28 Sep 2020 13:28 |
References: | Alan, S. D., Hossein, N., Dunk, A. S., & Nouri, H. (1998). Antecedents of budgetary slack: A literature review and synthesis. Journal of Accounting Literature, 17, 72. Retrieved from http://proquest.umi.com/pqdlink?did=113703689&Fmt=7&clientId=36305&RQT=309&VName=PQD Ariely, D., & Wertenbroch, K. (2002). Procrastination, deadlines, and performance: Self-control by precommitment. Psychological Science, 13(3), 219–224. https://doi.org/10.1111/1467-9280.00441 Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191 Brown, J. L., Evans, J. H., & Moser, D. V. (2009). Agency Theory and Participative Budgeting Experiments. Journal of Management Accounting Research, 21(1), 317–345. https://doi.org/10.2308/jmar.2009.21.1.317 Buehler, R., Griffin, D., & MacDonald, H. (1997). The Role of Motivated Reasoning in Optimistic Time Predictions. Personality and Social Psychology Bulletin, 23(3), 238–247. https://doi.org/10.1177/0146167297233003 Buehler, Roger, Griffin, D., & Ross, M. (1994). Exploring the “planning fallacy”: Why people underestimate their task completion times. Journal of Personality and Social Psychology, 67(3), 366–381. https://doi.org/10.1037/0022-3514.67.3.366 Byram, S. J. (1997). Cognitive and motivational factors influencing time prediction. Journal of Experimental Psychology: Applied, 3, 216–239. https://doi.org/10.1037/1076-898X.3.3.216 Cahlíková, J., Cingl, L., & Levely, I. (2020). How Stress Affects Performance and Competitiveness Across Gender. Management Science. https://doi.org/10.1287/mnsc.2019.3400 Camerer, C. F., Dreber, A., Forsell, E., Ho, T. H., Huber, J., Johannesson, M., … Wu, H. (2016). Evaluating replicability of laboratory experiments in economics. Science. https://doi.org/10.1126/science.aaf0918 Covaleski, M., Evans, J. H., Luft, J., & Shields, M. D. (2006). Budgeting Research: Three Theoretical Perspectives and Criteria for Selective Integration. Handbooks of Management Accounting Research. https://doi.org/10.1016/S1751-3243(06)02006-2 Darby, M. R., & Karni, E. (1973). Free Competition and the Optimal Amount of Fraud. The Journal of Law and Economics. https://doi.org/10.1086/466756 Dulleck, U., & Kerschbamer, R. (2006). On doctors, mechanics, and computer specialists: The economics of credence goods. Journal of Economic Literature. https://doi.org/10.1257/002205106776162717 Dulleck, U., Kerschbamer, R., & Sutter, M. (2011). The economics of credence goods: An experiment on the role of liability, verifiability, reputation, and competition. American Economic Review. https://doi.org/10.1257/aer.101.2.526 Fischbacher, U. (2007). Z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10(2), 171–178. https://doi.org/10.1007/s10683-006-9159-4 Fischbacher, U., & Föllmi-Heusi, F. (2013). Lies in disguise-an experimental study on cheating. Journal of the European Economic Association. https://doi.org/10.1111/jeea.12014 Flyvbjerg, B., Holm, M. S., & Buhl, S. (2002). Underestimating costs in public works projects: Error or lie? Journal of the American Planning Association, 68(3), 279–295. https://doi.org/10.1080/01944360208976273 Frederick, S. (2005). Cognitive Reflection and Decision Making. Journal of Economic Perspectives. https://doi.org/10.1257/089533005775196732 Greiner, B. (2015). Subject pool recruitment procedures: organizing experiments with ORSEE. Journal of the Economic Science Association, 1(1), 114–125. https://doi.org/10.1007/s40881-015-0004-4 Halkjelsvik, T., & Jørgensen, M. (2012). From origami to software development: A review of studies on judgment-based predictions of performance time. Psychological Bulletin, 138(2), 238–271. https://doi.org/10.1037/a0025996 Halkjelsvik, T., Jørgensen, M., & Teigen, K. H. (2011). To read two pages, I need 5minutes, but give me 5minutes and I will read four: How to change productivity estimates by inverting the question. Applied Cognitive Psychology, 25(2), 314–323. https://doi.org/10.1002/acp.1693 Henry, R. A. (1994). The Effects of Choice and Incentives on the Overestimation of Future Performance. Organizational Behavior and Human Decision Processes, 57(2), 210–225. https://doi.org/10.1006/obhd.1994.1012 Henry, R. A., & Sniezek, J. A. (1993). Situational factors affecting judgments of future performance. Organizational Behavior and Human Decision Processes, 54(1), 104–132. https://doi.org/10.1006/obhd.1993.1005 Henry, R. A., & Strickland, O. J. (1994). Performance Self‐Predictions: The Impact of Expectancy Strength and Incentives. Journal of Applied Social Psychology, 24(12), 1056–1069. https://doi.org/10.1111/j.1559-1816.1994.tb02373.x Holt, C. A., & Laury, S. K. (2002). Risk aversion and incentive effects. American Economic Review, 92(5), 1644–1655. https://doi.org/10.1257/000282802762024700 IPMA. (2015). IPMA Competence Baseline (ICB), Version 4.0. International Project Management Association. https://doi.org/10.1002/ejoc.201200111 Jensen, M. C. (2003). Paying People to Lie: The Truth about the Budgeting Process. European Financial Management, 9(3), 379–406. https://doi.org/10.1111/1468-036X.00226 Jorgensen, M., & Sjoberg, D. I. K. (2001). Impact of effort estimates on software project work. Information and Software Technology, 43(15), 939–948. https://doi.org/10.1016/S0950-5849(01)00203-8 Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108(3), 480–498. https://doi.org/10.1037/0033-2909.108.3.480 Latham, G. P., & Locke, E. A. (1991). Self Regulation through Goal Setting. Organizational Behavior and Human Decision Processes, 50(April), 212–247. https://doi.org/10.5465/AMR.1991.4278976 Lederer, A. L., Mirani, R., Neo, B. S., Pollard, C., Prasad, J., Ramamurthy, K., & Lederer, B. A. L. (1990). Information System Cost Estimating : A Management Perspective. MIS Quarterly, 14(2), 159–176. https://doi.org/10.2307/248774 Lederer, A. L., & Prasad, J. (1998). A causal model for software cost estimating error. IEEE Transactions on Software Engineering, 24(2), 137–148. https://doi.org/10.1109/32.666827 Lee, C. B., Schwartzman, Y., Hardy, J., & Snavely, A. (2005). Are User Runtime Estimates Inherently Inaccurate? Job Scheduling Strategies for Parallel Processing, (March), 253–263. Lewis, G., & Bajari, P. (2011). Procurement contracting with time incentives: Theory and evidence. Quarterly Journal of Economics, 126(3), 1173–1211. https://doi.org/10.1093/qje/qjr026 Lorko, M., Servátka, M., & Zhang, L. (2019). Anchoring in project duration estimation. Journal of Economic Behavior & Organization, 162, 49–65. Lorko, M., Servátka, M., & Zhang, L. (2020). Improving the accuracy of project schedules. Working paper. Magazinius, A., Börjesson, S., & Feldt, R. (2012). Investigating intentional distortions in software cost estimation - An exploratory study. Journal of Systems and Software, 85(8), 1770–1781. https://doi.org/10.1016/j.jss.2012.03.026 Mazar, N., Amir, O., & Ariely, D. (2008). The Dishonesty of Honest People: A Theory of Self-Concept Maintenance. Journal of Marketing Research, 45(6), 633–644. https://doi.org/10.1509/jmkr.45.6.633 Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349. https://doi.org/10.1126/science.aac4716 Osband, K. (1989). Optimal Forecasting Incentives. Journal of Political Economy. https://doi.org/10.1086/261644 Plott, C. R. (1987). Dimensions of parallelism: some policy applications of experimental methods. In Laboratory Experimentation in Economics. Cambridge University Press. Project Management Institute. (2013). A guide to the project management body of knowledge (PMBOK ® guide). Project Management Institute. https://doi.org/10.1002/pmj.20125 Shepperd, J. A., Sweeny, K., & Cherry, L. C. (2007). Influencing audience satisfaction by manipulating expectations. Social Influence, 2(2), 98–111. https://doi.org/10.1080/15534510601095772 Smith, V. L. (1962). An Experimental Study of Competitive Market Behavior. Journal of Political Economy. https://doi.org/10.1086/258660 Smith, V. L. (1991). Rational Choice: The Contrast between Economics and Psychology. Journal of Political Economy, 99(4), 877–897. https://doi.org/10.2307/2069710 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/103032 |