Technical Papers
Jul 1, 2022

Availability Heuristic in Construction Workforce Decision-Making amid COVID-19 Pandemic: Empirical Evidence and Mitigation Strategy

Publication: Journal of Management in Engineering
Volume 38, Issue 5

Abstract

The decision-making situations of the construction workforce have been drastically altered since the outbreak of the Coronavirus 2019 (COVID-19) pandemic. The new situation, where decision-makers strive to promptly respond to the unprecedented crisis to sustain essential construction operations without compromising the safety and health of workers, implies the presence of an availability heuristic. An availability heuristic has the potential to bring unconscious, systematic errors to the decision-making process. This study creates a decision-making experiment to empirically examine the presence of an availability heuristic and the effectiveness of a corresponding mitigation strategy in construction workforce decision-making under COVID-19 uncertainties. The experiment was conducted among students in the construction program from April 2021 to May 2021. Results show that students tend to support the management improvement ideas that fall into their most familiar fields. Providing information on other options against the option with the easiest recalled instances has been proven effective in terms of reducing the presence of the heuristic. Moreover, the results show that the presence of the heuristic is robust and unspecific to the level of education and years of work experience. The primary contributions of this research are (1) identifying the presence of the availability heuristic in construction workforce decision-making under COVID-19 uncertainties, (2) testing the effectiveness of a mitigation strategy against the availability heuristic, (3) bridging the rational decision-making with actual choices, (4) introducing the approach of decision-making experiments for future studies in construction engineering and management (CEM), and (5) suggesting an integrated perspective taking advantage of both positivism and constructivism for CEM decision-making. It is anticipated that policy makers can benefit from this study by enhancing the understanding of construction workforce decision-making amid a pandemic. This enhanced understanding can help to design effective strategies to promote the normal operation of the essential construction industry and ensure the safety and health of approximately 7.6 million employees in the construction industry during the COVID-19 pandemic and similar crises in the future.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request: survey questions, responses, and comments.

Acknowledgments

The authors would like to thank Mingshu Li and other members of the Economics of Sustainable Built Environment (ESBE) Lab for their feedback on the experiment and for the review of the draft manuscript. This paper is based upon work supported by the National Science Foundation under Grant Nos. 2035198 and 2035299.

References

AGC (Associated General Contractors of America). 2020. “AGC coronavirus survey results (June 9-17).” Accessed May 5, 2021. https://www.agc.org/sites/default/files/2020_Coronavirus_EighthEdition_total.pdf.
Al-Bayati, A. J., O. Abudayyeh, T. Fredericks, and S. E. Butt. 2017. “Managing cultural diversity at us construction sites: Hispanic workers’ perspectives.” J. Constr. Eng. Manage. 143 (9): 04017064. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001359.
Alexander, A., A. De Smet, and L. Weiss. 2020. “Decision making in uncertain times.” Accessed May 4, 2021. https://www.mckinsey.com/business-functions/organization/our-insights/decision-making-in-uncertain-times.
Assaad, R., and I. H. El-Adaway. 2021. “Guidelines for responding to COVID-19 pandemic: Best practices, impacts, and future research directions.” J. Manage. Eng. 37 (3): 06021001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000906.
Ayodele, O. A., A. Chang-Richards, and V. González. 2020. “Factors affecting workforce turnover in the construction sector: A systematic review.” J. Constr. Eng. Manage. 146 (2): 03119010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001725.
Azeez, M., J. Gambatese, and S. Hernandez. 2019. “What do construction workers really want? A study about representation, importance, and perception of US construction occupational rewards.” J. Constr. Eng. Manage. 145 (7): 04019040. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001669.
Babbie, E. 2013. The practice of social research. 13th ed. Belmont, CA: Wadsworth.
Baral, A., Y. Liang, M. Li, M. Gonzalez, M. Shahandashti, and B. Ashuri. 2022. “Impact of COVID-19 on the diversity of construction workforce.” Nat. Hazard. Rev. 23 (3): 04022015. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000560.
Buss, D. M. 2016. Handbook of evolutionary psychology. 2nd ed. New York: Wiley.
Carson, D., R. Milne, F. Pakes, K. Shalev, and A. Shawyer. 2007. Applying psychology to criminal justice. New York: Wiley.
CDC (Centers for Disease Control and Prevention). 2022. “COVID data tracker.” Accessed May 26, 2022. https://covid.cdc.gov/COVID-data-tracker/#datatracker-home.
Chan, A. P. C., F. K. W. Wong, C. K. H. Hon, A. A. Javed, and S. Lyu. 2017. “Construction safety and health problems of ethnic minority workers in Hong Kong.” Eng. Constr. Archit. Manage. 24 (6): 901–919. https://doi.org/10.1108/ECAM-09-2015-0143.
Chih, Y. Y., K. Kiazad, D. Cheng, A. Capezio, and S. L. D. Restubog. 2017. “Does organizational justice matter? Implications for construction workers’ organizational commitment.” J. Manage. Eng. 33 (2): 04016043. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000490.
Chih, Y. Y., K. Kiazad, D. Cheng, E. Emamirad, and S. L. Restubog. 2018. “Interactive effects of supportive leadership and top management team’s charismatic vision in predicting worker retention in the Philippines.” J. Constr. Eng. Manage. 144 (10): 04018095. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001553.
CPWR (Center for Construction Research and Training). 2020. “Health insurance coverage in the construction industry.” Accessed June 12, 2021. https://www.cpwr.com/wp-content/uploads/publications/DataBulletin-April-2020.pdf?utm_source=April+2020+Update&utm_campaign=April+2020+UPDATE&utm_medium=email.
ENR (Engineering News-Record). 2020. “Survey: Craft workers in short supply despite COVID-19 layoffs, project delays.” Accessed June 12, 2021. https://www.enr.com/articles/49996-survey-craft-workers-in-short-supply-despite-covid-19-layoffs-project-delays.
ENR (Engineering News-Record). 2021. “Study finds excess mortality for California construction laborers during pandemic.” Accessed June 12, 2021. https://www.enr.com/articles/51128-study-finds-excess-mortality-for-california-construction-laborers-during-pandemic.
Faul, F., E. Erdfelder, A. Buchner, and A. G. Lang. 2009. “Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses.” Behav. Res. Methods 41 (4): 1149–1160. https://doi.org/10.3758/BRM.41.4.1149.
Gallaghe, S., and N. Villwock-Witte. 2016. “Millennials in the transportation workforce.” Transp. Res. Rec. 2552 (1): 43–47. https://doi.org/10.3141/2552-06.
Georgia Tech. 2021. “2020 fact book.” Accessed November 6, 2021. https://irp.gatech.edu/fact-book.
Hasanzadeh, S., and J. M. de la Garza. 2020. “Productivity-safety model: Debunking the myth of the productivity-safety divide through a mixed-reality residential roofing task.” J. Constr. Eng. Manage. 146 (11): 04020124. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001916.
Hasanzadeh, S., J. M. de la Garza, and E. S. Geller. 2020. “How sensation-seeking propensity determines individuals’ risk-taking behaviors: Implication of risk compensation in a simulated roofing task.” J. Manage. Eng. 36 (5): 04020047. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000813.
Hayibor, S., and D. M. Wasieleski. 2009. “Effects of the use of the availability heuristic on ethical decision-making in organizations.” Supplement, J. Bus. Ethics 84 (S1): 151–165. https://doi.org/10.1007/s10551-008-9690-7.
Hertwig, R., T. Pachur, and S. Kurzenhäuser. 2005. “Judgments of risk frequencies: Tests of possible cognitive mechanisms.” J. Exp. Psychol. Learn. Mem. Cognit. 31 (4): 621–642. https://doi.org/10.1037/0278-7393.31.4.621.
Hlotova, Y., O. Cats, and S. Meijer. 2014. “Measuring bus drivers’ occupational stress under changing working conditions.” Transp. Res. Rec. 2415 (1): 13–20. https://doi.org/10.3141/2415-02.
Hu, D., Y. Mohamed, H. Taghaddos, and U. Hermann. 2018. “A simulation-based method for effective workface planning of industrial construction projects.” Construct. Manage. Econ. 36 (6): 328–347. https://doi.org/10.1080/01446193.2017.1390241.
Hu, M., and T. Shealy. 2020. “Overcoming status quo bias for resilient stormwater infrastructure: Empirical evidence in neurocognition and decision-making.” J. Manage. Eng. 36 (4): 04020017. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000771.
Kahneman, D. 2011. Thinking, fast and slow. New York: Farrar, Straus and Giroux.
Karimi, H., T. R. B. Taylor, and P. M. Goodrum. 2017. “Analysis of the impact of craft labour availability on North American construction project productivity and schedule performance.” Construct. Manage. Econ. 35 (6): 368–380. https://doi.org/10.1080/01446193.2017.1294257.
Katapodi, M. C., M. J. Dodd, N. C. Facione, J. C. Humphreys, and K. A. Lee. 2010. “Why some women have an optimistic or a pessimistic bias about their breast cancer risk.” Cancer Nurs. 33 (1): 64–73. https://doi.org/10.1097/NCC.0b013e3181b430f9.
Khan, H. H., I. Naz, F. Qureshi, and A. Ghafoor. 2017. “Heuristics and stock buying decision: Evidence from Malaysian and Pakistani stock markets.” Borsa Istanbul Rev. 17 (2): 97–110. https://doi.org/10.1016/j.bir.2016.12.002.
Kliger, D., and A. Kudryavtsev. 2010. “The availability heuristic and investors’ reaction to company-specific events.” J. Behav. Finance 11 (1): 50–65. https://doi.org/10.1080/15427561003591116.
Kotera, Y., P. Green, and D. Sheffield. 2020. “Work-life balance of UK construction workers: Relationship with mental health.” Construct. Manage. Econ. 38 (3): 291–303. https://doi.org/10.1080/01446193.2019.1625417.
Lee, B., J. O’Brien, and K. Sivaramakrishnan. 2008. “An analysis of financial analysts’ optimism in long-term growth forecasts.” J. Behav. Finance 9 (3): 171–184. https://doi.org/10.1080/15427560802341889.
Lingard, H., and M. Turner. 2017. “Promoting construction workers’ health: A multi-level system perspective.” Construct. Manage. Econ. 35 (5): 239–253. https://doi.org/10.1080/01446193.2016.1274828.
Liu, J., P. E. D. Love, M. C. P. Sing, B. Carey, and J. Matthews. 2015. “Modeling Australia’s construction workforce demand: Empirical study with a global economic perspective.” J. Constr. Eng. Manage. 141 (4): 05014019. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000953.
Loudoun, R., and K. Townsend. 2017. “Implementing health promotion programs in the Australian construction industry.” Eng. Constr. Archit. Manage. 24 (2): 260–274. https://doi.org/10.1108/ECAM-09-2015-0140.
Mamede, S., M. A. de Carvalho-Filho, R. M. D. de Faria, D. Franci, M. P. T. Nunes, L. M. C. Ribeiro, J. Biegelmeyer, L. Zwaan, and H. G. Schmidt. 2020. “‘Immunising’ physicians against availability bias in diagnostic reasoning: A randomised controlled experiment.” BMJ Qual. Saf. 29 (7): 550–559. https://doi.org/10.1136/bmjqs-2019-010079.
Mamede, S., M. Goeijenbier, S. C. E. Schuit, M. A. de Carvalho-Filho, J. Staal, L. Zwaan, and H. G. Schmidt. 2021. “Specific disease knowledge as predictor of susceptibility to availability bias in diagnostic reasoning: A randomized controlled experiment.” J. Gen. Internal Med. 36 (3): 640–646. https://doi.org/10.1007/s11606-020-06182-6.
Mamede, S., T. van Gog, K. van den Berge, R. M. J. P. Rikers, J. L. C. M. van Saase, C. van Guldener, and H. G. Schmidt. 2010. “Effect of availability bias and reflective reasoning on diagnostic accuracy among internal medicine residents.” J. Amer. Med. Assoc. 304 (11): 1198–1203. https://doi.org/10.1001/jama.2010.1276.
Mayank, G., A. Hasan, A. K. Jain, and K. N. Jha. 2018. “Site amenities and workers’ welfare factors affecting workforce productivity in Indian construction projects.” J. Constr. Eng. Manage. 144 (11): 04018101. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001566.
McKinsey Global Institute. 2019. “Tackling bias in artificial intelligence (and in humans).” Accessed November 7, 2021. https://www.mckinsey.com/featured-insights/artificial-intelligence/tackling-bias-in-artificial-intelligence-and-in-humans.
Naoum, S. G., J. Harris, J. Rizzuto, and C. Egbu. 2020. “Gender in the construction industry: Literature review and comparative survey of men’s and women’s perceptions in UK construction consultancies.” J. Manage. Eng. 36 (2): 04019042. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000731.
Newaz, M. T., P. Davis, M. Jefferies, and M. Pillay. 2020. “Examining the psychological contract as mediator between the safety behavior of supervisors and workers on construction sites.” J. Constr. Eng. Manage. 146 (1): 04019094. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001722.
Nik-Bakht, M., and T. E. El-Diraby. 2015. “Synthesis of decision-making research in construction.” J. Constr. Eng. Manage. 141 (9): 04015027. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000984.
Parth, F. R. 2013. “Critical decision-making skills for project managers.” In Proc., PMI Global Congress 2013. Istanbul, Turkey: Project Management Institute.
Rachlin, H. 2003. “Rational thought and rational behavior: A review of bounded rationality: The adaptive toolbox.” J. Exp. Anal. Behav. 79 (3): 409–412. https://doi.org/10.1901/jeab.2003.79-409.
Reilly, W. F., and J. T. Rhett. 1961. “Nuclear power for the arctic.” J. Constr. Div. 87 (1): 63–86. https://doi.org/10.1061/JCCEAZ.0000037.
Shahbazi, B., A. Akbarnezhad, D. Rey, A. A. F. Fini, and M. Loosemore. 2019. “Optimization of job allocation in construction organizations to maximize workers’ career development opportunities.” J. Constr. Eng. Manage. 145 (6): 04019036. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001652.
Shrestha, B. K., J. O. Choi, P. P. Shrestha, and J. Lim. 2020. “Employment and wage distribution investigation in the construction industry by gender.” J. Manage. Eng. 36 (4): 06020001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000778.
Simon, H. A. 1990. “Invariants of human behavior.” Annu. Rev. Psychol. 41 (1): 1–20. https://doi.org/10.1146/annurev.ps.41.020190.000245.
Sing, M. C. P., P. E. D. Love, D. J. Edwards, and J. Liu. 2016. “Dynamic modeling of workforce planning for infrastructure projects.” J. Manage. Eng. 32 (6): 04016019. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000463.
Slovic, P., and A. Tversky. 1982. Judgment under uncertainty: Heuristics and biases. Cambridge, UK: Cambridge University Press.
Thaler, R. H. 2016. “Behavioral economics: Past, present, and future.” Am. Econ. Rev. 106 (7): 1577–1600. https://doi.org/10.1257/aer.106.7.1577.
Tversky, A., and D. Kahneman. 1973. “Availability: A heuristic for judging frequency and probability.” Cognit. Psychol. 5 (2): 207–232. https://doi.org/10.1016/0010-0285(73)90033-9.
Tversky, A., and D. Kahneman. 1974. “Judgment under uncertainty: Heuristics and biases.” Science 185 (4157): 1124–1131. https://doi.org/10.1126/science.185.4157.1124.
Urry, L. A., M. L. Cain, S. A. Wasserman, P. V. Minorsky, and R. Orr. 2021. Campbell biology. 12 ed. New York: Pearson.
Wang, X., S. Xie, X. Wang, and C. Qu. 2013. “Decision-making model based on conditional risks and conditional costs in power system probabilistic planning.” IEEE Trans. Power Syst. 28 (4): 4080–4088. https://doi.org/10.1109/TPWRS.2013.2257886.
Yaghootkar, K., and N. Gil. 2012. “The effects of schedule-driven project management in multi-project environments.” Int. J. Project Manage. 30 (1): 127–140. https://doi.org/10.1016/j.ijproman.2011.02.005.
Zhan, W., and W. Pan. 2020. “Formulating systemic construction productivity enhancement strategies.” J. Constr. Eng. Manage. 146 (8): 05020008. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001886.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 38Issue 5September 2022

History

Received: Jun 30, 2021
Accepted: May 5, 2022
Published online: Jul 1, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 1, 2022

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Yunping Liang, A.M.ASCE [email protected]
Assistant Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Sir George Williams Campus, Montreal, QC, Canada H3G 1M8. Email: [email protected]
Anil Baral, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil Engineering, Univ. of Texas at Arlington, 416 S. Yates St., Arlington, TX 76019. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Texas at Arlington, 634 Nedderman Hall, Box 19019, 416 Yates St., Arlington, TX 76019. ORCID: https://orcid.org/0000-0002-2373-7596. Email: [email protected]
Professor, School of Building Construction and School of Civil and Environmental Engineering, Georgia Institute of Technology, 280 Ferst Dr., Atlanta, GA 30332-0680 (corresponding author). ORCID: https://orcid.org/0000-0002-4320-1035. Email: [email protected]

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