Technical Papers
Sep 27, 2023

A Framework to Evaluate Information and Source Credibility: International Construction Decision-Making

Publication: Journal of Management in Engineering
Volume 40, Issue 1

Abstract

Global firms involved in the architecture, engineering, and construction (AEC) domain analyze the risks, benefits, and future market potential of various host countries for business development purposes. Further, appropriate entry modes and business strategies are developed to navigate the complex formal and informal institutions of the host country. Researchers have proposed comprehensive data-driven international construction risk management models to assist global AEC companies in undertaking such investment decisions. However, the reliability and accuracy of these risk assessment models depend on the credibility of the information utilized for analysis. This study presents existing theories describing how humans make credibility judgments and emphasizes the importance of establishing a systematic framework to evaluate the credibility of data sources. Through a literature review, this paper first defines information and source credibility from the perspective of international construction decisions. Second, this paper proposes a framework with (1) five criteria and 20 metrics for information credibility; and (2) three criteria and 18 metrics for source credibility. A survey questionnaire was conducted with construction executives to determine the relevancy and relative importance of the identified criteria and metrics. The implications of this study highlight the critical role of credibility in international construction risk assessment. Stakeholders involved in international construction projects can benefit from recognizing the significance of credible information sources and integrating them into their risk management strategies.

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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.

Acknowledgments

The authors would like to acknowledge the efforts of Mr. Tim Wilschetz (retired partner, KPMG) and Dr. Samuel Labi (professor at Purdue University) for their inputs and suggestions to brainstorm the concept, verify the adequacy of the research methodology, and for carefully reviewing the results. The authors also want to thank the Division of Construction Engineering and Management at Purdue for assisting the research team in conducting the survey questionnaire. The authors also extend a thankful note to the board members who responded to the survey questionnaire and reached out with additional considerations for the betterment of the research outcomes.

References

Ameyaw, E. E., E. Pärn, A. P. Chan, D. G. Owusu-Manu, D. J. Edwards, and A. Darko. 2017. “Corrupt practices in the construction industry: Survey of Ghanaian experience.” J. Manage. Eng. 33 (6): 05017006. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000555.
Bai, B., K. B. Ng, Y. Sun, P. Kantor, and T. Strzalkowski. 2004. “The institutional dimension of document quality judgments.” Proc. Am. Soc. Inf. Sci. Technol. 41 (1): 110–118. https://doi.org/10.1002/meet.1450410113.
Bhattacharyya, A., S. Yoon, T. J. Weidner, and M. Hastak. 2021. “Purdue index for construction analytics: Prediction and forecasting model development.” J. Manage. Eng. 37 (5): 04021052. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000944.
Bonett, D. G., and T. A. Wright. 2015. “Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning.” J. Organ. Behav. 36 (1): 3–15. https://doi.org/10.1002/job.1960.
Bypaneni, S. P., and D. Q. Tran. 2018. “Empirical identification and evaluation of risk in highway project delivery methods.” J. Manage. Eng. 34 (3): 04018007. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000602.
Carlson, E. R. 1995. “Evaluating the credibility of sources: A missing link in the teaching of critical thinking.” Teach. Psychol. 22 (1): 39–41. https://doi.org/10.1207/s15328023top2201_12.
Castillo, C., M. Mendoza, and B. Poblete. 2011. “Information credibility on twitter.” In Proc., 20th Int. Conf. on World wide Web, 675–684. New York: Association for Computing Machinery. https://doi.org/10.1145/1963405.1963500.
Chang, T., X. Deng, B.-G. Hwang, and X. Zhao. 2019. “Improving quantitative assessment of political risk in international construction projects: The case of Chinese construction companies.” J. Constr. Eng. Manage. 145 (12): 04019083. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001738.
Chen, Q., Z. Jin, B. Xia, P. Wu, and M. Skitmore. 2016. “Time and cost performance of design–build projects.” J. Constr. Eng. Manage. 142 (2): 04015074. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001056.
CII (Construction Industry Institute). 2014. “Adding value through a practical and proactive project risk management process.” RT-2181 Topic Summary. Accessed August 31, 2023. https://www.construction-institute.org/resources/knowledgebase/knowledge-areas/risk-management/topics/rt-181.
Creedy, G. D., M. Skitmore, and J. K. Wong. 2010. “Evaluation of risk factors leading to cost overrun in delivery of highway construction projects.” J. Constr. Eng. Manage. 136 (5): 528–537. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000160.
Danielson, D. R., and S. Y. Rieh. 2007. “Credibility: A multidisciplinary framework.” Annu. Rev. Inf. Sci. Technol. 41 (1): 307–364. https://doi.org/10.1002/aris.2007.1440410114.
Ekung, S., A. Lashinde, and E. Adu. 2021. “Critical risks to construction cost estimation.” J. Eng. Project Prod. Manage. 11 (1): 19–29.
El-Sawalhi, N. I., and S. Hammad. 2015. “Factors affecting stakeholder management in construction projects in the Gaza Strip.” Int. J. Construct. Manage. 15 (2): 157–169. https://doi.org/10.1080/15623599.2015.1035626.
Fang, D., M. Li, P. S. W. Fong, and L. Shen. 2004. “Risks in Chinese construction market—Contractors’ perspective.” J. Constr. Eng. Manage. 130 (6): 853–861. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:6(853).
Flanagin, A. J., and M. J. Metzger. 2003. “The perceived credibility of personal Web page information as influenced by the sex of the source.” Comput. Hum. Behav. 19 (6): 683–701. https://doi.org/10.1016/S0747-5632(03)00021-9.
Fogg, B. J., C. Soohoo, D. R. Danielson, L. Marable, J. Stanford, and E. R. Tauber. 2003. “How do users evaluate the credibility of Web sites? A study with over 2,500 participants.” In Proc., 2003 Conf. on Designing for User Experiences (DUX’03), 1–15. New York: Association for Computing Machinery. https://doi.org/10.1145/997078.997097.
Fragale, A. R., and C. Heath. 2004. “Evolving informational credentials: The (mis) attribution of believable facts to credible sources.” Personality Social Psychol. Bull. 30 (2): 225–236. https://doi.org/10.1177/0146167203259933.
Friestad, M., and P. Wright. 1994. “The persuasion knowledge model: How people cope with persuasion attempts.” J. Consum. Res. 21 (1): 1–31. https://doi.org/10.1086/209380.
Giegerich, D. B. 2002. “Early warning signs of troubled projects.” In Proc., AACE Int. Transactions, CD21–CD28. Morgantown, WV: Association for the Advancement of Cost Engineering.
Ginsca, A. L., A. Popescu, and M. Lupu. 2015. “Credibility in information retrieval.” Found. Trends Inf. Retr. 9 (5): 355–475. https://doi.org/10.1561/1500000046.
Gunhan, S., and D. Arditi. 2005. “Factors affecting international construction.” J. Constr. Eng. Manage. 131 (3): 273–282. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(273).
Hasanzadeh, S., B. Esmaeili, and M. D. Dodd. 2017. “Impact of construction workers’ hazard identification skills on their visual attention.” J. Constr. Eng. Manage. 143 (10): 04017070. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001373.
Hastak, M., and A. Shaked. 2000. “ICRAM-1: Model for international construction risk assessment.” J. Manage. Eng. 16 (1): 59–69. https://doi.org/10.1061/(ASCE)0742-597X(2000)16:1(59).
Hogarth, R. M. 1987. Judgement and choice: The psychology of decision. New York: Wiley.
Jeon, J., S. Padhye, A. Bhattacharyya, H. Cai, and M. Hastak. 2022. “Impact of COVID-19 on the US construction industry as revealed in the Purdue index for construction.” J. Manage. Eng. 38 (1): 04021082. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000995.
Jeon, J., S. Padhye, S. Yoon, H. Cai, and M. Hastak. 2021. “Identification of metrics for the Purdue index for construction using latent dirichlet allocation.” J. Manage. Eng. 37 (6): 04021067. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000968.
Jiang, W., Y. Lu, and Y. Le. 2016. “Trust and project success: A twofold perspective between owners and contractors.” J. Manage. Eng. 32 (6): 04016022. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000469.
Joyce, S., M. Kashifuddin, J. Nocera, and P. Upton. 2019. “Disinformation attacks have arrived in the corporate sector. are you ready?” Accessed February 16, 2023. https://www.pwc.com/us/en/tech-effect/cybersecurity/corporate-sector-disinformation.html.
Karr, A. F., A. P. Sanil, and D. L. Banks. 2006. “Data quality: A statistical perspective.” Stat. Methodol. 3 (2): 137–173. https://doi.org/10.1016/j.stamet.2005.08.005.
Kiousis, S. 2001. “Public trust or mistrust? Perceptions of media credibility in the information age.” Mass Commun. Soc. 4 (4): 381–403. https://doi.org/10.1207/S15327825MCS0404_4.
Lekan, A., C. Aigbavboa, O. Babatunde, F. Olabosipo, and A. Christiana. 2020. “Disruptive technological innovations in construction field and fourth industrial revolution intervention in the achievement of the sustainable development goal 9.” Int. J. Construct. Manage. 22 (14): 2647–2658. https://doi.org/10.1080/15623599.2020.1819522.
Matthews, N. 2023. “Uganda looks to Turkish firm to salvage delayed $2.2B rail project.” Accessed May 12, 2023. https://www.enr.com/articles/55940-uganda-seeksturkish-firm-to-salvage-delayed-22b-rail-project.
Metzger, M. J., A. J. Flanagin, K. Eyal, D. R. Lemus, and R. M. McCann. 2003. “Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment.” Ann. Int. Commun. Assoc. 27 (1): 293–335. https://doi.org/10.1080/23808985.2003.11679029.
Moon, S., and T. Hunt. 2022. “CRUX 2021—Operating in uncertain times.” HKA. Accessed August 31, 2023. https://www.hka.com/crux-insight-2021-operating-in-uncertain-times/.
Morshedi, M., S. Padhye, I. Mwamba, K. Kang, S. Labi, and M. Hastak. 2023. “Suitability assessment of detour routes for road construction projects: Framework and case studies.” J. Manage. Eng. 39 (2): 04022077. https://doi.org/10.1061/JMENEA.MEENG-4995.
Naderpajouh, N., J. Choi, and M. Hastak. 2016. “Exploratory framework for application of analytics in the construction industry.” J. Manage. Eng. 32 (2): 04015047. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000409.
Newman, C., D. Edwards, I. Martek, J. Lai, W. D. Thwala, and I. Rillie. 2021. “Industry 4.0 deployment in the construction industry: A bibliometric literature review and UK-based case study.” Smart Sustainable Built Environ. 10 (4): 557–580. https://doi.org/10.1108/SASBE-02-2020-0016.
Ngacho, C., and D. Das. 2014. “A performance evaluation framework of development projects: An empirical study of constituency development fund (CDF) construction projects in Kenya.” Int. J. Project Manage. 32 (3): 492–507. https://doi.org/10.1016/j.ijproman.2013.07.005.
Othman, A. A. E. 2012. “A study of the causes and effects of contractors’ non-compliance with the health and safety regulations in the South African construction industry.” Archit. Eng. Des. Manage. 8 (3): 180–191. https://doi.org/10.1080/17452007.2012.683242.
Padhye, S., I. Mwamba, K. Kang, S. Labi, and M. Hastak. 2021. Safety, mobility, and cost benefits of closing one direction of the interstate in rural areas during construction work. West Lafayette, IN: Purdue Univ.
Padhye, S., J. Siebert, and M. Hastak. 2023. “Defining capital efficiency metrics in downstream and chemicals industry.” RT-399 Topic Summary. Accessed August 31, 2023. https://www.construction-institute.org/resources/knowledgebase/knowledge-areas/result/topics/rt-399.
Rashkin, H., E. Choi, J. Y. Jang, S. Volkova, and Y. Choi. 2017. “Truth of varying shades: Analyzing language in fake news and political fact-checking.” In Proc., 2017 Conf. on Empirical Methods in Natural Language Processing, 2931–2937. Copenhagen, Denmark: Association for Computational Linguistics.
Reis, J. C., A. Correia, F. Murai, A. Veloso, F. Benevenuto, and E. Cambria. 2019. “Supervised learning for fake news detection.” IEEE Intell. Syst. 34 (2): 76–81. https://doi.org/10.1109/MIS.2019.2899143.
Research and Markets. 2022. “Global construction market opportunities and strategies report 2022: Use of autonomous construction vehicles, green construction projects, digital technologies are improving construction safety.” Accessed January 12, 2023. https://www.globenewswire.com/en/news-release/2022/08/04/2492427/28124/en/Global-Construction-Market-Opportunities-and-Strategies-Report-2022-Use-Of-Autonomous-Construction-Vehicles-Green-Construction-Projects-Digital-Technologies-Are-Improving-Construct.html.
Rieh, S. Y., and N. Belkin. 2000. “Interaction on the Web: Scholars’ judgement of information quality and cognitive authority.” In Vol. 37 of Proc., Annual Meeting on American Society for Information Science, 25–38. Medford, NJ: Information Today.
Rousseeuw, P. J., and M. Hubert. 2011. “Robust statistics for outlier detection.” Wiley Interdiscip. Rev.: Data Min. Knowl. Discovery 1 (1): 73–79. https://doi.org/10.1002/widm.2.
Sawyer, S. F. 2009. “Analysis of variance: The fundamental concepts.” J. Manual Manipulative Ther. 17 (2): 27E–38E. https://doi.org/10.1179/jmt.2009.17.2.27E.
Sitaula, N., C. K. Mohan, J. Grygiel, X. Zhou, and R. Zafarani. 2020. “Credibility-based fake news detection.” In Disinformation, misinformation, and fake news in social media: Emerging research challenges and Opportunities, edited by K. Shu, S. Wang, D. Lee, and H. Liu, 163–182. Berlin: Springer. https://doi.org/10.1007/978-3-030-42699-6_9.
Slater, M. D., and D. Rouner. 1996. “How message evaluation and source attributes may influence credibility assessment and belief change.” Journalism Mass Commun. Q. 73 (4): 974–991. https://doi.org/10.1177/107769909607300415.
Staats, B. 2021. “Misinformation, disinformation, malinformation: What’s the difference.” Accessed August 31, 2023. https://minitex.umn.edu/news/elibrary-minnesota/2021-02/misinformation-disinformation-malinformation-whats-difference.
Stvilia, B., L. Gasser, M. B. Twidale, and L. C. Smith. 2007. “A framework for information quality assessment.” J. Am. Soc. Inf. Sci. Technol. 58 (12): 1720–1733. https://doi.org/10.1002/asi.20652.
Sundar, S. S., S. Knobloch-Westerwick, and M. R. Hastall. 2007. “News cues: Information scent and cognitive heuristics.” J. Am. Soc. Inf. Sci. Technol. 58 (3): 366–378. https://doi.org/10.1002/asi.20511.
Taber, K. S. 2018. “The use of Cronbach’s alpha when developing and reporting research instruments in science education.” Res. Sci. Educ. 48 (6): 1273–1296. https://doi.org/10.1007/s11165-016-9602-2.
Tate, M. A., and J. E. Alexander. 1999. Web wisdom: How to evaluate and create information quality on the Web. Boca Raton, FL: CRC Press.
Turcilo, L., and M. Obrenovic. 2020. Misinformation, disinformation, malinformation: Causes, trends, and their influence on democracy. Berlin: Heinrich Böll Foundation.
Turner, R., and R. Zolin. 2012. “Forecasting success on large projects: Developing reliable scales to predict multiple perspectives by multiple stakeholders over multiple time frames.” Project Manage. J. 43 (5): 87–99. https://doi.org/10.1002/pmj.21289.
Vafaei, N., R. A. Ribeiro, and L. M. Camarinha-Matos. 2016. “Normalization techniques for multi-criteria decision making: Analytical hierarchy process case study.” In Proc., Doctoral Conf. on Computing, Electrical and Industrial Systems, 261–269. Cham, Switzerland: Springer.
Van Griethuijsen, R. A., M. W. van Eijck, H. Haste, P. J. Den Brok, N. C. Skinner, N. Mansour, A. Savran Gencer, and S. BouJaoude. 2015. “Global patterns in students’ views of science and interest in science.” Res. Sci. Educ. 45 (4): 581–603. https://doi.org/10.1007/s11165-014-9438-6.
Walewski, J., and G. Gibson. 2003. International project risk assessment: Methods, procedures, and critical factors. Austin, TX: Univ. of Texas at Austin.
Wang, H., W. Lu, J. Söderlund, and K. Chen. 2018. “The interplay between formal and informal institutions in projects: A social network analysis.” Project Manage. J. 49 (4): 20–35. https://doi.org/10.1177/8756972818781629.
Wathen, C. N., and J. Burkell. 2002. “Believe it or not: Factors influencing credibility on the Web.” J. Am. Soc. Inf. Sci. Technol. 53 (2): 134–144. https://doi.org/10.1002/asi.10016.
Wilkinson, G. L., L. T. Bennett, and K. M. Oliver. 1997. “Evaluation criteria and indicators of quality for Internet resources.” Educ. Technol. 37 (3): 52–59.
Woksepp, S., and T. Olofsson. 2007. “Credibility and applicability of virtual reality models in design and construction.” Adv. Eng. Inform. 22 (4): 520–528.
Wu, L., Y. Rao, A. Nazir, and H. Jin. 2020. “Discovering differential features: Adversarial learning for information credibility evaluation.” Inf. Sci. 516 (Apr): 453–473. https://doi.org/10.1016/j.ins.2019.12.040.
Xiang, P., X. Huo, and L. Shen. 2015. “Research on the phenomenon of asymmetric information in construction projects—The case of China.” Int. J. Project Manage. 33 (3): 589–598. https://doi.org/10.1016/j.ijproman.2014.10.007.
Xiao, H., and D. Proverbs. 2002. “Construction time performance: An evaluation of contractors from Japan, the UK and the US.” Eng. Constr. Archit. Manage. 9 (2): 81–89. https://doi.org/10.1108/eb021208.
Yin, Z., C. Caldas, and D. de Oliveira. 2022. “Identification of business-project management processes that improve capital efficiency of downstream and chemical projects.” Int. J. Construct. Manage. (Oct): 1–9. https://doi.org/10.1080/15623599.2022.2132352.
Yuan, J., C. Wang, M. J. Skibniewski, and Q. Li. 2012. “Developing key performance indicators for public-private partnership projects: Questionnaire survey and analysis.” J. Manage. Eng. 28 (3): 252–264. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000113.
Zhao, X., B. G. Hwang, and S. P. Low. 2013. “Critical success factors for enterprise risk management in Chinese construction companies.” Construct. Manage. Econ. 31 (12): 1199–1214. https://doi.org/10.1080/01446193.2013.867521.
Zhong, B., H. Wu, L. Ding, H. Luo, Y. Luo, and X. Pan. 2020. “Hyperledger fabric-based consortium blockchain for construction quality information management.” Front. Eng. Manage. 7 (4): 512–527. https://doi.org/10.1007/s42524-020-0128-y.
Zhu, X., and S. Gauch. 2000. “Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web.” In Proc., 23rd Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 288–295. New York: Association for Computing Machinery. https://doi.org/10.1145/345508.345602.

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Journal of Management in Engineering
Volume 40Issue 1January 2024

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Received: Feb 21, 2023
Accepted: Jul 18, 2023
Published online: Sep 27, 2023
Published in print: Jan 1, 2024
Discussion open until: Feb 27, 2024

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Graduate Research Assistant, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051 (corresponding author). ORCID: https://orcid.org/0000-0003-1164-9289. Email: [email protected]
Dernlan Family Head and Professor, Division of Construction Engineering and Management, Purdue Univ., West Lafayette, IN 47907; Professor, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051. ORCID: https://orcid.org/0000-0002-5546-7797. Email: [email protected]

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