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Unsuccessful bids: Coefficient of variation of bids as indicator of project risk Cover

Unsuccessful bids: Coefficient of variation of bids as indicator of project risk

Open Access
|Jun 2020

References

  1. Baek, M., & Ashuri, B. (2018). Statistical modeling of number of bidders in highway resurfacing and widening construction projects. In: Construction Research Congress 2018. American Society of Civil Engineers, Reston, VA, pp. 670–679. doi: 10.1061/9780784481295.067.
  2. Baek, M., & Ashuri, B. (2019). Analysis of the variability of submitted unit price bids for asphalt line items in highway projects. Journal of Construction Engineering and Management, 145(4), p. 04019020. doi: 10.1061/(ASCE)CO.1943-7862.0001638.
  3. Bedeian, A. G., & Mossholder, K. W. (2000). On the use of the coefficient of variation as a measure of diversity. Organizational Research Methods, 3(3), pp. 285–297. doi: 10.1177/109442810033005.
  4. Brief, R. P., & Owen, J. (1969). A note on earnings risk and the coefficient of variation. The Journal of Finance, 24(5), p. 901. doi: 10.2307/2325684.
  5. Carr, P. G. (2005). Investigation of bid price competition measured through prebid project estimates, actual bid prices, and number of bidders. Journal of Construction Engineering and Management, 131(11), pp. 1165–1172. doi: 10.1061/(ASCE)0733-9364(2005)131:11(1165).
  6. Chang, W.-S., Chen, B., & Salmon, T. C. (2014). An investigation of the average bid mechanism for procurement auctions. Management Science, 61(6), pp. 1237–1254. doi: 10.1287/mnsc.2013.1893.
  7. Curto, J. D., & Pinto, J. C. (2009). The coefficient of variation asymptotic distribution in the case of non-iid random variables. Journal of Applied Statistics, 36(1), pp. 21–32. doi: 10.1080/02664760802382491.
  8. Delacre, M., Lakens, D., & Leys, C. (2017). Why psychologists should by default use welch's t-test instead of student's t-test. International Review of Social Psychology, 30(1), p. 92. doi: 10.5334/irsp.82.
  9. Galton, F. (1907). Vox Populi (The Wisdom of Crowds). Nature, 75(1949), pp. 450–451. doi: 10.1038/075450a0.
  10. Gunther, J. W., & Robinson, K. J. (1999). Industry mix and lending environment variability: What does the average bank face? Economic and Financial Review-Federal Reserve Bank of Dallas, 1999(2), pp. 24–31.
  11. Kuprenas, J. A. (2005). Construction project cost performance prediction based on project bid characteristics. Construction Research Congress, 2005(213), pp. 1–9. doi: 10.1061/40754(183)94.
  12. Laryea, S., & Hughes, W. (2011). Risk and price in the bidding process of contractors. Journal of Construction Engineering and Management, 137(4), pp. 248–258. doi: 10.1061/(ASCE)CO.1943-7862.0000293.
  13. Li, S., Foulger, J. R., & Philips, P. W. (2008). Analysis of the impacts of the number of bidders upon bid values. Public Works Management & Policy, 12(3), pp. 503–514. doi: 10.1177/1087724X07312144.
  14. Mannes, A. E., Larrick, R. P., & Soll, J. B. (2012). The social psychology of the wisdom of crowds. In: Social Judgment and Decision Making. Psychology Press (Frontiers of social psychology.), New York, NY, US, pp. 227–242. Available at https://faculty.fuqua.duke.edu/~jsoll/Larrick Mannes Soll WOC chapter Final.pdf.
  15. Martin, J. D., & Gray, L. N. (1971). Measurement of relative variation: sociological examples. American Sociological Review, 36(3), p. 496. doi: 10.2307/2093089.
  16. Minchin, R. E., Thurn, S. B., Ellis, R. D., Jr., & Lewis, D. W. (2013). Using contractor bid amounts to estimate the impact of night construction on cost for transportation construction. Journal of Construction Engineering and Management, 139(8), pp. 1055–1062. doi: 10.1061/(asce)co.1943-7862.0000688.
  17. Minitab. (2015). What Is the Significance Level (Alpha)?, The Minitab Blog. Available at https://blog.minitab.com/blog/adventures-in-statistics-2/understanding-hypothesis-tests-significance-levels-alpha-and-p-values-in-statistics on 20 January 2020.
  18. Ohio Department of Transportation. (no date a). Construction Management Reporting System. Available at http://www.odotonline.org/cmsportal/default.asp on 31 July 2019.
  19. Ohio Department of Transportation. (no date b). Historical Cost Data. Available at http://www.dot.state.oh.us/Divisions/ConstructionMgt/Estimating/Pages/Bid_Histories.aspx on 31 July 2019.
  20. Ruxton, G. D. (2006). The unequal variance t-test is an underused alternative to Student's t-test and the Mann–Whitney U test. Behavioral Ecology, 17(4), pp. 688–690. doi: 10.1093/beheco/ark016.
  21. Salkind, N. (2010). Encyclopedia of Research Design, Encyclopedia of Research Design. SAGE Publications, Inc., Thousand Oaks, CA, United States. doi: 10.4135/9781412961288.
  22. Shrestha, P. P., & Pradhananga, N. (2010). Correlating bid price with the number of bidders and final construction cost of public street projects. Transportation Research Record: Journal of the Transportation Research Board, 2151(1), pp. 3–10. doi: 10.3141/2151-01.
  23. Skitmore, M., Drew, D., & Ngai, S. (2001). Bid-spread. Journal of Construction Engineering and Management, 127(2), pp. 149–153. doi: 10.1061/(ASCE)0733-9364(2001)127:2(149).
  24. Standaert, F.-X. (2019). How (not) to use Welch's T-test in side-channel security evaluations. pp. 65–79. doi: 10.1007/978-3-030-15462-2_5.
  25. Thiese, M. S., Ronna, B., & Ott, U. (2016). P value interpretations and considerations. Journal of Thoracic Disease, 8(9), pp. E928–E931. doi: 10.21037/jtd.2016.08.16.
  26. Tumer, K., & Wolpert, D. (2004). A survey of collectives. In: Collectives and the Design of Complex Systems. Springer New York, New York, NY, pp. 1–42. doi: 10.1007/978-1-4419-8909-3_1.
  27. Weber, E. U., Shafir, S., & Blais, A. R. (2004). Predicting risk sensitivity in humans and lower animals: risk as variance or coefficient of variation. Psychological Review, 111(2), pp. 430–445. doi: 10.1037/0033-295X.111.2.430.
  28. Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1–2), pp. 28–35. doi: 10.1093/biomet/34.1-2.28.
  29. Williams, T. P. (2002). Predicting completed project cost using bidding data. Construction Management and Economics, 20(3), pp. 225–235. doi: 10.1080/01446190110112838.
  30. Williams, T. P. (2005). Bidding ratios to predict highway project costs. Engineering, Construction and Architectural Management, 12(1), pp. 38–51. doi: 10.1108/09699980510576880.
  31. Williams, T. P. (2007). Using classification rules to develop a predictive indicator of project cost overrun potential from bidding data. In: Computing in Civil Engineering (2007). American Society of Civil Engineers, Reston, VA, pp. 35–42. doi: 10.1061/40937(261)5.
  32. Williams, T. P., Lakshminarayanan, S., & Sackrowitz, H. (2005). Analyzing bidding statistics to predict completed project cost. In: International Conference on Computing in Civil Engineering 2005, July 12–15, 2005, Cancun, Mexico. pp. 1–10. doi: 10.1061/40794(179)157.
  33. Wolpert, D. H. (2004). Theory of collective intelligence. In: Collectives and the Design of Complex Systems. Springer New York, New York, NY, pp. 43–106. doi: 10.1007/978-1-4419-8909-3_2.
  34. Wolpert, D. H., Tumer, K., & Frank, J. (1999). Using collective intelligence to route internet traffic. Available at http://arxiv.org/abs/cs/9905004.
  35. Worthington, A. C., & Higgs, H. (2004). Art as an investment: risk, return and portfolio diversification in major painting markets. Accounting and Finance, 44(2), pp. 257–271. doi: 10.1111/j.1467-629X.2004.00108.x.
  36. Wright, M. G., & Williams, T. P. (2001). Using bidding statistics to predict completed construction cost. Engineering Economist, 46(2), pp. 114–128. doi: 10.1080/00137910108967565.
DOI: https://doi.org/10.2478/otmcj-2020-0015 | Journal eISSN: 1847-6228 | Journal ISSN: 1847-5450
Language: English
Page range: 2193 - 2199
Submitted on: Sep 2, 2019
Accepted on: Apr 15, 2020
Published on: Jun 22, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2020 Young Joo Kim, Miroslaw J. Skibniewski, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.