Home / Current Issue / Paper 1724115
Cost, Schedule, and Safety Risk Management in Offshore Oil and Gas Capital Projects: An Integrative Review of Project Controls and Engineering Decision Frameworks
Subject area: Science,Engineering and Technology · Area of research: Offshore Oil and Gas Project Risk Controls
DOI: 10.64388/IREV5I10-1724115
Abstract
Offshore oil and gas capital projects must deliver cost, schedule and safety performance together, yet the research behind each objective has developed separately. This integrative review synthesizes 415 peer-reviewed journal and conference articles published between 1984 and 2022 on cost and schedule performance, project governance and decision frameworks, safety risk management in project execution, and digital and sustainability enablers of project controls. Records were identified through publisher platforms, scholarly search and reference-list chaining and coded by domain, sector, method and cross-domain integration. The evidence base is dominated by governance and decision frameworks (168 studies) and safety risk management (138), followed by digital and sustainability enablers (78) and cost and schedule performance (31). Only 47 studies, 11.3 percent, address oil, gas or offshore projects directly, and none of the digital studies do so. Only 14 studies, 3.4 percent, connect two or more of cost, schedule and safety in a single analysis, and most of these concern the cost of accidents or the effect of production pressure on safety. The review finds consistent evidence that optimism bias, weak front-end governance and contractual misalignment drive overruns, and that schedule pressure and contractor arrangements shape safety outcomes, but little evidence on how these mechanisms interact. An integrative framework linking governance gates, a shared risk model and a common data layer is proposed, with a research agenda for offshore projects.
Keywords
offshore capital projects; project controls; cost overrun; safety climate; leading indicators; project governance; integrative review
References
[1] Merrow EW. Oil and gas industry megaprojects: Our recent track record. Oil and Gas Facilities. 2013;1(2):38–42. https://doi.org/10.2118/153695-PA
[2] Rui Z, Peng F, Ling K, Chang H, Chen G, Zhou X. Investigation into the performance of oil and gas projects. Journal of Natural Gas Science and Engineering. 2017;38:12–20. https://doi.org/10.1016/j.jngse.2016.11.049
[3] Callegari C, Szklo A, Schaeffer R. Cost overruns and delays in energy megaprojects: How big is big enough? Energy Policy. 2018;114:211–220. https://doi.org/10.1016/j.enpol.2017.11.059
[4] Flyvbjerg B. What you should know about megaprojects and why: An overview. Project Management Journal. 2014;45(2):6–19. https://doi.org/10.1002/pmj.21409
[5] Flyvbjerg, B. (Ed.). The oxford handbook of megaproject management. Oxford University Press. 2017.
[6] Flyvbjerg B, Ansar A, Budzier A, Buhl S, Cantarelli C, Garbuio M, et al. Five things you should know about cost overrun. Transportation Research Part A: Policy and Practice. 2018;118:174–190. https://doi.org/10.1016/j.tra.2018.07.013
[7] Ahiaga-Dagbui DD, Smith SD, Love PED, Ackermann F. Spotlight on construction cost overrun research: Superficial, replicative and stagnated. Proceedings of the 31st Annual ARCOM Conference, Lincoln, UK. 2015;863–872.
[8] Love PED, Smith J, Simpson I, Regan M, Olatunji O. Understanding the landscape of overruns in transport infrastructure projects. Environment and Planning B: Planning and Design. 2015;42(3). https://doi.org/10.1068/b130102p
[9] Mearns K, Whitaker SM, Flin R. Safety climate, safety management practice and safety performance in offshore environments. Safety Science. 2003;41:641–680. https://doi.org/10.1016/S0925-7535(02)00011-5
[10] Mearns K, Flin R, Gordon R, Fleming M. Human and organizational factors in offshore safety. Work & Stress. 2001;15:144–160.
[11] Flyvbjerg B, Holm MKS, Buhl SL. What causes cost overrun in transport infrastructure projects? Transport Reviews. 2004;24(1):3–18.
[12] Flyvbjerg B, Holm MKS, Buhl SL. Underestimating costs in public works projects: Error or lie? Journal of the American Planning Association. 2002;68:279–295.
[13] Flyvbjerg B. From nobel prize to project management: Getting risks right. Project Management Journal. 2006;37(3):5–15.
[14] Müller R. Project governance. Gower Publishing. 2017.
[15] Cooper RG. Perspective: The stage-gate idea-to-launch process: Update, what’s new, and nexgen systems. Journal of Product Innovation Management. 2008;25:213–232.
[16] Smith JE, Nau RF. Valuing risky projects: Option pricing theory and decision analysis. Management Science. 1995;41(5):795. https://doi.org/10.1287/mnsc.41.5.795
[17] Martinsuo M. Project portfolio management in practice and in context. International Journal of Project Management. 2013;31:794–803.
[18] Turner JR. Contracting for project management. Gower Publishing. 2003.
[19] Zohar D. Thirty years of safety climate research: Reflections and future directions. Accident Analysis & Prevention. 2010;42(5). https://doi.org/10.1016/j.aap.2009.12.019
[20] Hinze J, Thurman S, Wehle A. Leading indicators of construction safety performance. Safety Science. 2013;51(1):23–28.
[21] Iliffe RE, Chung PWH, Kletz TA. More effective permit-to-work systems. Process Safety and Environmental Protection. 1999;77(2):69–76.
[22] Han S, Saba F, Lee S, Mohamed Y, Peña-Mora F. Toward an understanding of the impact of production pressure on safety performance in construction operations. Accident Analysis & Prevention. 2014;68:106–116. https://doi.org/10.1016/j.aap.2013.10.007
[23] Deng M, Menassa CC, Kamat VR. From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry. Journal of Information Technology in Construction. 2021;26:58–83. https://doi.org/10.36680/j.itcon.2021.005
[24] Chakraborty D, Elhegazy H, Elzarka H, Gutierrez L. A novel construction cost prediction model using hybrid natural and light gradient boosting. Advanced Engineering Informatics. 2020;46:101201.
[25] Silvius AJG, Schipper RPJ. Sustainability in project management: A literature review and impact analysis. Social Business. 2014;4(1):63–96. https://doi.org/10.1362/204440814X13948909253866
[26] Ominyi M, Anichukwueze CC. Reviewing greenhouse gas disclosure and ESG compliance obligations for energy and infrastructure enterprises under evolving regulatory regimes. International Journal of Economics and Financial Management. 2022;7(6):94–124. https://doi.org/10.56201/ijefm.v7.no6.2022.pg94.124
[27] Probst TM, Graso M. Pressure to produce = pressure to reduce accident reporting? Accident Analysis & Prevention. 2013;59:580–587. https://doi.org/10.1016/j.aap.2013.07.020
[28] Oswald D, Sherratt F, Smith S. Managing production pressures through dangerous informality: A case study. Engineering, Construction and Architectural Management. 2019;26(11):2581–2596. https://doi.org/10.1108/ECAM-11-2018-0475
[29] Haupt TC, Pillay K. Investigating the true costs of construction accidents. Journal of Engineering, Design and Technology. 2016;14(2):373–419.
[30] Allison R, Hon C, Xia B. Construction accidents in australia: Evaluating the true costs. Safety Science. 2019;120:886–896. https://doi.org/10.1016/j.ssci.2019.07.037
[31] Ikpe E, Hammon F, Oloke D. Cost-benefit analysis for accident prevention in construction projects. Journal of Construction Engineering and Management. 2012;138(8):991–998.
[32] Lingard HC, Cooke T, Blismas N. Safety climate in conditions of construction subcontracting: A multi-level analysis. Construction Management and Economics. 2010;28(8):813–825.
[33] Laan A, Voordijk H, Dewulf G. Reducing opportunistic behaviour through a project alliance. International Journal of Managing Projects in Business. 2011;4(4):660–679.
[34] Suprapto M, Bakker HLM, Mooi HG, Hertogh MJCM. How do contract types and incentives matter to project performance? International Journal of Project Management. 2015. https://doi.org/10.1016/j.ijproman.2015.08.003
[35] Arumosoye OM, Obriki OD. A governance-oriented conceptual model for contractor safety performance in multi-contract industrial projects. International Journal of Multidisciplinary Research and Growth Evaluation. 2020;1(5):728–740. https://doi.org/10.54660/.IJMRGE.2020.1.5.728-740
[36] Abdussamie N, Zaghwan A, Daboos M, Elferjani I, Mehanna A, Su W. Operational risk assessment of offshore transport barges. Ocean Engineering. 2018;156:333–346. https://doi.org/10.1016/j.oceaneng.2018.03.006
[37] Working Together for Safety. Recommended practice: Simultaneous operations (recommendation 045E/2021, rev 00). Samarbeid for Sikkerhet. 2021.
[38] Sarkheil H, Azimi Y, Jafari Aghdash J. An innovative permit to work system disconformities identification (PTWDI) in the commissioning and start-up phases of south pars gas complex, iran. International Journal of Occupational Hygiene. 2017;9(1):1–8.
[39] Asibor E, Isong DE. Risk-based process engineering framework for strengthening reliability across complex natural gas infrastructure systems. Iconic Research and Engineering Journals. 2019;3(2):1020–1060. https://doi.org/10.64388/IREV3I2-1723153
[40] Nwangwu CV, Duvbiama-Owasanoye OA, Onwumere A. A framework for operational integrity in high-risk drilling: Balancing productivity and safety compliance. Iconic Research and Engineering Journals. 2018;2(5):436–453.
[41] Torraco RJ. Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review. 2005;4(3):356–367. https://doi.org/10.1177/1534484305278283
[42] Whittemore R, Knafl K. The integrative review: Updated methodology. Journal of Advanced Nursing. 2005;52(5):546–553. https://doi.org/10.1111/j.1365-2648.2005.03621.x
[43] Tranfield D, Denyer D, Smart P. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management. 2003;14(3):207–222. https://doi.org/10.1111/1467-8551.00375
[44] Snyder H. Literature review as a research methodology: An overview and guidelines. Journal of Business Research. 2019;104:333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
[45] Miller R, Lessard DR. The strategic management of large engineering projects: Shaping institutions, risks, and governance. MIT Press. 2000.
[46] Floricel S, Miller R. Strategizing for anticipated risks and turbulence in large-scale engineering projects. International Journal of Project Management. 2001;19:445–455.
[47] Klakegg OJ, Williams T, Shiferaw AT. Taming the “trolls”: Major public projects in the making. International Journal of Project Management. 2016;34(2):282–296.
[48] Reason J. Safety paradoxes and safety culture. Injury Control and Safety Promotion. 2000;7(1). https://doi.org/10.1076/1566-0974(200003)7:1;1-V;FT003
[49] Guldenmund FW. The nature of safety culture: A review of theory and practice. Safety Science. 2000;34(1–3):215–257.
[50] Hollnagel E. Safety-i and safety-II: The past and future of safety management. Ashgate. 2014.
[51] Walkup GW, Ligon BJ. The good, bad, and ugly of stage-gate project management process as applied in the oil and gas industry. SPE Annual Technical Conference and Exhibition, San Antonio, Texas. 2006.
[52] Samset KF, Volden GH, Olsson N, Kvalheim EV. Governance schemes for major public investment projects: A comparative study of principles and practices in six countries (concept report no. 47). Ex ante akademisk forlag. 2016.
[53] Berends TC. Engineering and construction projects for oil and gas processing facilities: Contracting, uncertainty and the economics of information. Energy Policy. 2007;35:4260–4270.
[54] Newman D, Begg S, Welsh M. Why are decisions for oil and gas projects not always made the way they “should” be? APPEA Journal. 2018;58(1):130–158. https://doi.org/10.1071/AJ17106
[55] Bratvold RB, Begg SH. Making good decisions. Society of Petroleum Engineers. 2010.
[56] Agbabiaka J, Okonkwo CS, Ogunwole O, Mayo W, Okeke OT. Supply chain risk management model for EPC and gas processing projects. Iconic Research and Engineering Journals. 2019;3(2):968–980. https://doi.org/10.64388/IREV3I2-1713124
[57] Ogunwole O, Okonkwo CS, Agbabiaka J, Mayo W, Okeke OT. Supply chain resilience framework for critical infrastructure and gas processing plants. Shodhshauryam, International Scientific Refereed Research Journal. 2021;4(4):444–461. https://doi.org/10.32628/SHISRRJ214462
[58] Okonkwo CS, Ogunwole O, Okeke OT. Framework for strategic procurement optimization in oil and gas operations. Iconic Research and Engineering Journals. 2018;1(7):153–168. https://doi.org/10.64388/IREV1I7-1713119
[59] Artto K, Ahola T, Vartiainen V. From the front end of projects to the back end of operations: Managing projects for value creation throughout the system lifecycle. International Journal of Project Management. 2016;34(2):258–270. https://doi.org/10.1016/j.ijproman.2015.05.003
[60] Eweje J, Turner R, Müller R. Maximizing strategic value from megaprojects: The influence of information-feed on decision-making by the project manager. International Journal of Project Management. 2012;30(6):639–651.
[61] Suprapto M, Bakker HLM, Mooi HG. Relational factors in owner-contractor collaboration: The mediating role of teamworking. International Journal of Project Management. 2015;33(6):1347–1363.
[62] Suprapto M, Bakker HLM, Mooi HG, Moree W. Sorting out the essence of owner-contractor collaboration in capital projects delivery. International Journal of Project Management. 2015;33(3):664–683.
[63] Whitfield S. Taking a closer look at why projects fail. Oil and Gas Facilities. 2014;3(5):18–24.
[64] Khor CS, Elkamel A, Shah N. Optimization methods for petroleum fields development and production systems: A review. Optimization and Engineering. 2017;18:907. https://doi.org/10.1007/s11081-017-9365-2
[65] Lin J, de Weck O, de Neufville R, Yue HK. Enhancing the value of offshore developments with flexible subsea tiebacks. Journal of Petroleum Science and Engineering. 2013;102:73. https://doi.org/10.1016/j.petrol.2013.01.003
[66] Abdul-Salam Y, Kemp A, Phimister E. Unlocking the economic viability of marginal UKCS discoveries: Optimising cluster developments. Energy Economics. 2021;97.
[67] Stinchcombe AL, Heimer C. Organizational theory and project management: Administering uncertainty in norwegian offshore oil. Norwegian University Press. 1985.
[68] Atkinson R. Project management: Cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. International Journal of Project Management. 1999;17(6):337–342. https://doi.org/10.1016/S0263-7863(98)00069-6
[69] Ika LA, Pinto JK. The “re-meaning” of project success: Updating and recalibrating for a modern project management. International Journal of Project Management. 2022;40(7):835–848. https://doi.org/10.1016/j.ijproman.2022.08.001
[70] Zwikael O, Meredith J. Evaluating the success of a project and the performance of its leaders. IEEE Transactions on Engineering Management. 2019;68(6):1745–1757. https://doi.org/10.1109/TEM.2019.2925057
[71] Turner JR, Xue Y. On the success of megaprojects. International Journal of Managing Projects in Business. 2018;11(3):783–805.
[72] Patanakul P, Kwak YH, Zwikael O, Liu M. What impacts the performance of large-scale government projects? International Journal of Project Management. 2016;34(3):452–466. https://doi.org/10.1016/j.ijproman.2015.12.001
[73] Waehrer GM, Dong XS, Miller T, Haile E, Men Y. Costs of occupational injuries in construction in the United States. Accident Analysis & Prevention. 2007;39(6):1258–1266.
[74] Health and Safety Executive. The costs to britain of workplace injuries and work-related ill health in 2006/07 (research report RR897). HSE Books. 2011.
[75] Umar T. Cost of accidents in the construction industry of oman. Proceedings of the Institution of Civil Engineers: Municipal Engineer. 2017;170(2):68–73. https://doi.org/10.1680/jmuen.16.00032
[76] Nahrgang JD, Morgeson FP, Hofmann DA. Safety at work: A meta-analytic investigation of the link between job demands, job resources, burnout, engagement, and safety outcomes. Journal of Applied Psychology. 2011;96(1):71–94. https://doi.org/10.1037/a0021484
[77] Bronkhorst B. Behaving safely under pressure: The effects of job demands, resources, and safety climate on employee physical and psychosocial safety behavior. Journal of Safety Research. 2015;55:63–72. https://doi.org/10.1016/j.jsr.2015.09.002
[78] Obriki OD, Arumosoye OM. Conceptual framework for human error causation in high-risk construction and industrial activities. International Journal of Multidisciplinary Research and Growth Evaluation. 2020;1(5):715–727. https://doi.org/10.54660/.IJMRGE.2020.1.5.715-727
[79] Obriki OD, Arumosoye OM. Conceptual framework explaining recurrence mechanisms of unsafe behaviors in high-hazard worksites. Shodhshauryam, International Scientific Refereed Research Journal. 2022;5(3):380–402. https://doi.org/10.32628/SHISRRJ225489
[80] Wanberg J, Harper C, Hallowell MR, Rajendran S. Relationship between construction safety and quality performance. Journal of Construction Engineering and Management. 2013;139(10):04013003. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000732
[81] Cheng EWL, Kelly S, Ryan N. Use of safety management practices for improving project performance. International Journal of Injury Control and Safety Promotion. 2015;22(1):33–39. https://doi.org/10.1080/17457300.2013.844715
[82] Grant MJ, Booth A. A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information & Libraries Journal. 2009;26(2):91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
[83] Baumeister RF, Leary MR. Writing narrative literature reviews. Review of General Psychology. 1997;1(3):311–320. https://doi.org/10.1037/1089-2680.1.3.311
[84] Wong G, Greenhalgh T, Westhorp G, Buckingham J, Pawson R. RAMESES publication standards: Meta-narrative reviews. BMC Medicine. 2013;11:20. https://doi.org/10.1186/1741-7015-11-20
[85] Rojon C, Okupe A, McDowall A. Utilization and development of systematic reviews in management research: What do we know and where do we go from here? International Journal of Management Reviews. 2021;23(2):191–223. https://doi.org/10.1111/ijmr.12245
[86] Davis J, Mengersen K, Bennett S, Mazerolle L. Viewing systematic reviews and meta-analysis in social research through different lenses. SpringerPlus. 2014;3:511. https://doi.org/10.1186/2193-1801-3-511
[87] Collins JA, Fauser BCJM. Balancing the strengths of systematic and narrative reviews. Human Reproduction Update. 2005;11(2):103–104. https://doi.org/10.1093/humupd/dmh058
[88] MacInnis DJ. A framework for conceptual contributions in marketing. Journal of Marketing. 2011;75(4):136–154. https://doi.org/10.1509/jmkg.75.4.136
[89] Palmatier RW, Houston MB, Hulland J. Review articles: Purpose, process, and structure. Journal of the Academy of Marketing Science. 2018;46(1):1–5. https://doi.org/10.1007/s11747-017-0563-4
[90] Webster J, Watson RT. Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly. 2002;26.
[91] Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O. Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly. 2004;82(4):581–629. https://doi.org/10.1111/j.0887-378X.2004.00325.x
[92] Adams RJ, Smart P, Huff AS. Shades of grey: Guidelines for working with the grey literature in systematic reviews for management and organizational studies. International Journal of Management Reviews. 2017;19(4):432–454.
[93] Obogo SF, Arumosoye OM, Obriki OD. Advances in internal QHSE audit systems for industrial engineering operations. Iconic Research and Engineering Journals. 2020;4(4):399–417. https://doi.org/10.64388/IREV4I4-1715499
[94] Ngonadi U, Ominyi M. Liability mitigation and dispute prevention in high-value energy service contracts. Iconic Research and Engineering Journals. 2019;3(6):676–705. https://doi.org/10.64388/IREV3I6-1722790
[95] Schwatka NV, Hecker S, Goldenhar LM. Defining and measuring safety climate: A review of the construction industry literature. Annals of Occupational Hygiene. 2016;60:537–550.
[96] Xu J, Cheung C, Manu P, Ejohwomu O. Safety leading indicators in construction: A systematic review. Safety Science. 2021;139:105250. https://doi.org/10.1016/j.ssci.2021.105250
[97] Hosamo HH, Imran A, Cardenas-Cartagena J, Svennevig PR, Svidt K, Nielsen HK. A review of the digital twin technology in the AEC-FM industry. Advances in Civil Engineering. 2022;2022:2185170. https://doi.org/10.1155/2022/2185170
[98] Hosseini MR, Martek I, Zavadskas EK, Aibinu AA, Arashpour M, Chileshe N. Critical evaluation of off-site construction research: A scientometric analysis. Automation in Construction. 2018;87:235–247. https://doi.org/10.1016/j.autcon.2017.12.002
[99] Toorajipour R, Sohrabpour V, Nazarpour A, Oghazi P, Fischl M. Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research. 2021;122:502–517. https://doi.org/10.1016/j.jbusres.2020.09.009
[100] Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology. 2008.
[101] Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77–101. https://doi.org/10.1191/1478088706qp063oa
[102] Barnett-Page E, Thomas J. Methods for the synthesis of qualitative research: A critical review. BMC Medical Research Methodology. 2009;9.
[103] Ward V, House A, Hamer S. Developing a framework for transferring knowledge into action: A thematic analysis of the literature. Journal of Health Services Research & Policy. 2009;14(3):156–164. https://doi.org/10.1258/jhsrp.2009.008120
[104] Li Y, Lu Y, Cui Q, Han Y. Organizational behavior in megaprojects: Integrative review and directions for future research. Journal of Management in Engineering. 2019;35(4). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000691
[105] Lahdenperä P. Towards a coherent theory of project alliancing: Discovering the system’s complex mechanisms yielding value for money. Construction Economics and Building. 2017;17(2):41–61. https://doi.org/10.5130/ajceb.v17i2.5292
[106] Dedobbeleer N, Béland F. A safety climate measure for construction sites. Journal of Safety Research. 1991;22(2):97–103.
[107] Flin R, Mearns K, O’Connor P, Bryden R. Measuring safety climate: Identifying the common features. Safety Science. 2000;34(1–3):177–192.
[108] Hallowell MR, Hinze JW, Baud KC, Wehle A. Proactive construction safety control: Measuring, monitoring, and responding to safety leading indicators. Journal of Construction Engineering and Management. 2013;139(10).
[109] Lingard H, Hallowell M, Salas R, Pirzadeh P. Leading or lagging? Temporal analysis of safety indicators on a large infrastructure construction project. Safety Science. 2017;91:206–220.
[110] Agrawal A, Fischer M, Singh V. Digital twin: From concept to practice. Journal of Management in Engineering. 2022;38(3). https://doi.org/10.1061/(ASCE)ME.1943-5479.0001034
[111] Meharie MG, Mengesha WJ, Gariy ZA, Mutuku RNN. Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects. Engineering, Construction and Architectural Management. 2022;29(7):2836–2853.
[112] Kvalheim SA, Dahl Ø. Safety compliance and safety climate: A repeated cross-sectional study in the oil and gas industry. Journal of Safety Research. 2016;59:33–41. https://doi.org/10.1016/j.jsr.2016.10.006
[113] Benson C, Argyropoulos CD, Dimopoulos C, Varianou Mikellidou C, Boustras G. Analysis of safety climate factors and safety compliance relationships in the oil and gas industry. Safety Science. 2022;151:105744. https://doi.org/10.1016/j.ssci.2022.105744
[114] Dahl Ø, Olsen E. Safety compliance on offshore platforms: A multi-sample survey on the role of perceived leadership involvement and work climate. Safety Science. 2013;54:17–26. https://doi.org/10.1016/j.ssci.2012.11.003
[115] Willigers BJA, Bratvold RB. Valuing oil and gas options by least-squares Monte Carlo simulation. SPE Projects, Facilities & Construction. 2009;4:146.
[116] Bakker SJ, Kleiven A, Fleten SE, Tomasgard A. Mature offshore oil field development: Solving a real options problem using stochastic dual dynamic integer programming. Computers & Operations Research. 2021;136:105480. https://doi.org/10.1016/j.cor.2021.105480
[117] Nesvold E, Bratvold RB. Debiasing probabilistic oil production forecasts. Energy. 2022;258:124744. https://doi.org/10.1016/j.energy.2022.124744
[118] Nandurdikar NS, Kirkham PM. The economic folly of chasing schedules in oil developments and the unintended consequences of such strategies. SPE Annual Technical Conference and Exhibition. 2012.
[119] Kines P, Lappalainen J, Mikkelsen KL, Olsen E, Pousette A, Tharaldsen J, et al. Nordic safety climate questionnaire (NOSACQ-50): A new tool for diagnosing occupational safety climate. International Journal of Industrial Ergonomics. 2011;41(6):634–646.
[120] Alruqi WM, Hallowell MR, Techera U. Safety climate dimensions and their relationship to construction safety performance: A meta-analytic review. Safety Science. 2018;109:165–173. https://doi.org/10.1016/j.ssci.2018.05.019
[121] Shea T, De Cieri H, Donohue R, Cooper B, Sheehan C. Leading indicators of occupational health and safety: An employee and workplace level validation study. Safety Science. 2016;85:293–304.
[122] Gondia A, Siam A, El-Dakhakhni W, Nassar AH. Machine learning algorithms for construction projects delay risk prediction. Journal of Construction Engineering and Management. 2020;146(1):04019085. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001736
[123] Jafarizadeh B, Bratvold RB. Two-factor oil-price model and real option valuation: An example of oilfield abandonment. SPE Economics & Management. 2012;4:158. https://doi.org/10.2118/162862-PA
[124] Brandão LE, Dyer JS, Hahn WJ. Using binomial decision trees to solve real-option valuation problems. Decision Analysis. 2005;2:69. https://doi.org/10.1287/deca.1050.0040
[125] Flyvbjerg B. Top ten behavioral biases in project management: An overview. Project Management Journal. 2021;52(6):531–546.
[126] Odeck J. Cost overruns in road construction: What are their sizes and determinants? Transport Policy. 2004;11(1):43–53.
[127] Rosenfeld Y. Root-cause analysis of construction-cost overruns. Journal of Construction Engineering and Management. 2014;140(1).
[128] Eden C, Ackermann F, Williams T. The amoebic growth of project costs. Project Management Journal. 2005;36(1):15–27.
[129] Ansar A, Flyvbjerg B, Budzier A, Lunn D. Should we build more large dams? The actual costs of hydropower megaproject development. Energy Policy. 2014;69:43–56. https://doi.org/10.1016/j.enpol.2013.10.069
[130] Dahlin P, Pesämaa O. Drivers of cost and time overruns: A client and contractor perspective. Organization, Technology & Management in Construction: An International Journal. 2021;13(1):2374–2382.
[131] Caffieri JJ, Love PED, Whyte A, Ahiaga-Dagbui DD. Planning for production in construction: Controlling costs in major capital projects. Production Planning & Control. 2018;29(1):41–50. https://doi.org/10.1080/09537287.2017.1376258
[132] Nwafor MI, Uduokhai DO, Gil-Ozoudeh IDS, Aransi AN. Developing an analytical framework for enhancing efficiency in public infrastructure delivery systems. Iconic Research and Engineering Journals. 2019;2(11):657–670. https://doi.org/10.64388/IREV2I11-1712239
[133] Lovallo D, Kahneman D. Delusions of success: How optimism undermines executives’ decisions. Harvard Business Review. 2003;81(7):56–63.
[134] Kahneman D, Lovallo D, Sibony O. Before you make that big decision. Harvard Business Review. 2011;89(6):50–60.
[135] Kahneman D, Klein G. Conditions for intuitive expertise: A failure to disagree. American Psychologist. 2009;64(6):515–526.
[136] Klein G. Performing a project premortem. Harvard Business Review. 2007;85(9):18–19.
[137] Esser JK. Alive and well after 25 years: A review of groupthink research. Organizational Behavior and Human Decision Processes. 1998;73(2–3):116–141.
[138] Bratvold RB, Mohus E, Petutschnig D, Bickel E. Production forecasting: Optimistic and overconfident: Over and over again. SPE Reservoir Evaluation & Engineering. 2020.
[139] Bordley RF. Reference class forecasting: Resolving its challenge to statistical modeling. The American Statistician. 2014;68(4):221–229. https://doi.org/10.1080/00031305.2014.937544
[140] Awojobi O, Jenkins GP. Managing the cost overrun risks of hydroelectric dams: An application of reference class forecasting techniques. Renewable and Sustainable Energy Reviews. 2016;63:19–32. https://doi.org/10.1016/j.rser.2016.05.006
[141] Batselier J, Vanhoucke M. Practical application and empirical evaluation of reference class forecasting for project management. Project Management Journal. 2016;47(5):36–51. https://doi.org/10.1177/875697281604700504
[142] Bayram S, Al-Jibouri S. Application of reference class forecasting in turkish public construction projects: Contractor perspective. Journal of Management in Engineering. 2016;32(3):05016002. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000421
[143] Bayram S, Al-Jibouri S. Cost forecasting using RCF: A case study for planning public building projects costs in turkey. International Journal of Construction Management. 2018;18(5):405–417. https://doi.org/10.1080/15623599.2017.1333399
[144] Batselier J, Vanhoucke M. Improving project forecast accuracy by integrating earned value management with exponential smoothing and reference class forecasting. International Journal of Project Management. 2017;35(1):28–43. https://doi.org/10.1016/j.ijproman.2016.10.003
[145] Ahiaga-Dagbui DD, Smith SD. Dealing with construction cost overruns using data mining. Construction Management and Economics. 2014;32(7–8).
[146] Ahiaga-Dagbui DD, Smith SD. Rethinking construction cost overruns: Cognition, learning and estimation. Journal of Financial Management of Property and Construction. 2014;19(1):38–54.
[147] Bayram S, Al-Jibouri S. Efficacy of estimation methods in forecasting building projects’ costs. Journal of Construction Engineering and Management. 2016;142(11):05016012. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001183
[148] Okmen O, Öztas A. Construction cost analysis under uncertainty with correlated cost risk analysis model. Construction Management and Economics. 2010;28(2):203–212.
[149] Senouci AB, Eldin NN. Use of genetic algorithms in resource scheduling of construction projects. Journal of Construction Engineering and Management. 2004;130(6):869–877. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:6(869)
[150] Kandil A, El-Rayes K. Parallel genetic algorithms for optimizing resource utilization in large-scale construction projects. Journal of Construction Engineering and Management. 2006;132(5):491–498. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:5(491)
[151] Long LD, Ohsato A. A genetic algorithm-based method for scheduling repetitive construction projects. Automation in Construction. 2009;18(4):499–511. https://doi.org/10.1016/j.autcon.2008.11.005
[152] Müller R, Pemsel S, Shao J. Organizational enablers for governance and governmentality of projects: A literature review. International Journal of Project Management. 2014;32:1309–1320.
[153] Turner JR, Keegan A. Mechanisms of governance in the project-based organization: Roles of the broker and steward. European Management Journal. 2001;19(3):254–267.
[154] Too EG, Weaver P. The management of project management: A conceptual framework for project governance. International Journal of Project Management. 2014;32(8):1382–1394.
[155] Musawir A, Abd-Karim SB, Mohd-Danuri MS. Project governance and its role in enabling organizational strategy implementation: A systematic literature review. International Journal of Project Management. 2020;38(1):1–16.
[156] Guo F, Chang-Richards Y, Wilkinson S, Li TC. Effects of project governance structures on the management of risks in major infrastructure projects: A comparative analysis. International Journal of Project Management. 2014;32(5):815–826.
[157] Locatelli G, Mancini M, Romano E. Systems engineering to improve the governance in complex project environments. International Journal of Project Management. 2014;32(8):1395–1410.
[158] Pinto JK. Project management, governance, and the normalization of deviance. International Journal of Project Management. 2014;32(3):376–387.
[159] Brunet M. Making sense of a governance framework for megaprojects: The challenge of finding equilibrium. International Journal of Project Management. 2021;39(4):406–416.
[160] Sanderson J. Risk, uncertainty and governance in megaprojects: A critical discussion of alternative explanations. International Journal of Project Management. 2012;30(4):432–443.
[161] Gil N, Pinto JK. Polycentric organizing and performance: A contingency model and evidence from megaproject planning in the UK. Research Policy. 2018;47(4):717–734.
[162] Qiu Y, Chen H, Sheng Z, Cheng S. Governance of institutional complexity in megaproject organizations. International Journal of Project Management. 2019;37(3):425–443.
[163] Li Y, Han Y, Luo M, Zhang Y. Impact of megaproject governance on project performance: Dynamic governance of the nanning transportation hub in China. Journal of Management in Engineering. 2019;35(3):05019002. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000681
[164] Denicol J, Davies A, Krystallis I. What are the causes and cures of poor megaproject performance? A systematic literature review and research agenda. Project Management Journal. 2020;51(3):328–345.
[165] Sanchez-Cazorla A, Alfalla-Luque R, Irimia-Dieguez AI. Risk identification in megaprojects as a crucial phase of risk management: A literature review. Project Management Journal. 2016;47(6):75–93.
[166] Söderlund J, Sankaran S, Biesenthal C. The past and present of megaprojects. Project Management Journal. 2017;48(6):5–16.
[167] Brookes N, Sage D, Dainty A, Locatelli G, Whyte J. An island of constancy in a sea of change: Rethinking project temporalities with long-term megaprojects. International Journal of Project Management. 2017;35(7):1213–1224. https://doi.org/10.1016/j.ijproman.2017.05.007
[168] Bosch-Rekveldt M, Jongkind Y, Mooi H, Bakker H, Verbraeck A. Grasping project complexity in large engineering projects: The TOE (technical, organizational and environmental) framework. International Journal of Project Management. 2011;29(6):728–739.
[169] Brady T, Davies A. Managing structural and dynamic complexity: A tale of two projects. Project Management Journal. 2014;45(4):21–38. https://doi.org/10.1002/pmj.21434
[170] Shenhar AJ. One size does not fit all projects: Exploring classical contingency domains. Management Science. 2001;47(3):394–414.
[171] Thomas H. Strategic decision analysis: Applied decision analysis and its role in the strategic management process. Strategic Management Journal. 1984;5(2):139–156.
[172] Howard RA. Decision analysis: Practice and promise. Management Science. 1988;34(6):679–695.
[173] Spetzler C, Winter H, Meyer J. Decision quality: Value creation from better business decisions. John Wiley & Sons. 2016.
[174] Keeney RL. Making better decision makers. Decision Analysis. 2004;1(4):193–204.
[175] Manata B, Garcia AJ, Mollaoglu S, et al. The effect of commitment differentiation on integrated project delivery team dynamics: The critical roles of goal alignment, communication behaviors, and decision quality. International Journal of Project Management. 2021;39(3):259–269.
[176] Bukoye OT, Ejohwomu O, Roehrich J, Too J. Using nudges to realize project performance management. International Journal of Project Management. 2022;40(8):886–905.
[177] Szentes H, Eriksson PE. Paradoxical organizational tensions between control and flexibility when managing large infrastructure projects. Journal of Construction Engineering and Management. 2016;142(4):05015017. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001081
[178] Lenfle S, Loch C. Lost roots: How project management came to emphasize control over flexibility and novelty. California Management Review. 2010;53(1):32–55.
[179] Eriksson PE, Larsson J, Pesämaa O. Managing complex projects in the infrastructure sector: A structural equation model for flexibility-focused project management. International Journal of Project Management. 2017;35(8):1512–1523.
[180] Williams T. Assessing and moving on from the dominant project management discourse in the light of project overruns. IEEE Transactions on Engineering Management. 2005;52(4):497–508.
[181] Xia N, Zhong R, Wu C, Wang X, Wang S. Assessment of stakeholder-related risks in construction projects: Integrated analyses of risk attributes and stakeholder influences. Journal of Construction Engineering and Management. 2017;143(8):04017030. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001322
[182] Ackermann F, Eden C, Williams T, Howick S. Systemic risk assessment: A case study. Journal of the Operational Research Society. 2007;58(1):39–51.
[183] Zwikael O, Ahn M. The effectiveness of risk management: An analysis of project risk planning across industries and countries. Risk Analysis. 2011;31(1):25–37.
[184] Ekern S. An option pricing approach to evaluating petroleum projects. Energy Economics. 1988;10(2):91–99.
[185] Smith JE, McCardle KF. Valuing oil properties: Integrating option pricing and decision analysis approaches. Operations Research. 1998;46(2):198–217.
[186] Smith JE, McCardle KF. Options in the real world: Lessons learned in evaluating oil and gas investments. Operations Research. 1999;47(1):1. https://doi.org/10.1287/opre.47.1.1
[187] Armstrong M, Galli A, Bailey W, Couët B. Incorporating technical uncertainty in real option valuation of oil projects. Journal of Petroleum Science and Engineering. 2004;44:67. https://doi.org/10.1016/j.petrol.2004.02.006
[188] Jafarizadeh B, Bratvold RB. Oil and gas exploration valuation and the value of waiting. The Engineering Economist. 2015;60:245. https://doi.org/10.1080/0013791X.2015.1045647
[189] Abdul-Salam Y. A real options analysis of the effects of oil price uncertainty and carbon taxes on the optimal timing of oil field decommissioning. The Energy Journal. 2022;43(6):25–46. https://doi.org/10.5547/01956574.43.6.yabd
[190] Fedorov S, Hagspiel V, Lerdahl T. Real options approach for a staged field development with optional wells. Journal of Petroleum Science and Engineering. 2021;205:108837. https://doi.org/10.1016/j.petrol.2021.108837
[191] Archer NP, Ghasemzadeh F. An integrated framework for project portfolio selection. International Journal of Project Management. 1999;17:207–216.
[192] Cooper RG, Edgett SJ, Kleinschmidt EJ. New product portfolio management: Practices and performance. Journal of Product Innovation Management. 1999;16:333–351.
[193] Ghasemzadeh F, Archer NP. Project portfolio selection through decision support. Decision Support Systems. 2000;29:73–88.
[194] Engwall M, Jerbrant A. The resource allocation syndrome: The prime challenge of multi-project management? International Journal of Project Management. 2003;21:403–409.
[195] Martinsuo M, Lehtonen P. Role of single-project management in achieving portfolio management efficiency. International Journal of Project Management. 2007;25:56–65.
[196] Müller R, Martinsuo M, Blomquist T. Project portfolio control and portfolio management performance in different contexts. Project Management Journal. 2008;39(3):28–42.
[197] Blichfeldt BS, Eskerod P. Project portfolio management - there’s more to it than what management enacts. International Journal of Project Management. 2008;26:357–365.
[198] Meskendahl S. The influence of business strategy on project portfolio management and its success: A conceptual framework. International Journal of Project Management. 2010;28:807–817.
[199] Unger BN, Gemünden HG, Aubry M. The three roles of a project portfolio management office: Their impact on portfolio management execution and success. International Journal of Project Management. 2012;30:608–620.
[200] Beringer C, Jonas D, Kock A. Behavior of internal stakeholders in project portfolio management and its impact on success. International Journal of Project Management. 2013;31:830–846.
[201] Jonas D, Kock A, Gemünden HG. Predicting project portfolio success by measuring management quality: A longitudinal study. IEEE Transactions on Engineering Management. 2013;60:215–226.
[202] Martinsuo M, Korhonen T, Laine T. Identifying, framing and managing uncertainties in project portfolios. International Journal of Project Management. 2014;32:732–746.
[203] Kaiser MG, El Arbi F, Ahlemann F. Successful project portfolio management beyond project selection techniques: Understanding the role of structural alignment. International Journal of Project Management. 2015;33:126–139.
[204] Kock A, Gemünden HG. Antecedents to decision-making quality and agility in innovation portfolio management. Journal of Product Innovation Management. 2016;33:670–686.
[205] Teller J, Kock A. An empirical investigation on how portfolio risk management influences project portfolio success. International Journal of Project Management. 2013;31:817–829.
[206] Dai CX, Wells WG. An exploration of project management office features and their relationship to project performance. International Journal of Project Management. 2004;22(7):523–532.
[207] Aubry M, Hobbs B, Thuillier D. A new framework for understanding organisational project management through the PMO. International Journal of Project Management. 2007;25(4):328–336.
[208] Hobbs B, Aubry M. A multi-phase research program investigating project management offices (PMOs): The results of phase 1. Project Management Journal. 2007;38(1):74–86.
[209] Aubry M, Müller R, Hobbs B, Blomquist T. Project management offices in transition. International Journal of Project Management. 2010;28(8):766–778.
[210] Mosavi A. Exploring the roles of portfolio steering committees in project portfolio governance. International Journal of Project Management. 2014;32:388–399.
[211] Gordon CM. Choosing appropriate construction contracting method. Journal of Construction Engineering and Management. 1994;120(1):196–210. https://doi.org/10.1061/(ASCE)0733-9364(1994)120:1(196)
[212] Love PED, Skitmore M, Earl G. Selecting a suitable procurement method for a building project. Construction Management and Economics. 1998;16(2):221–233. https://doi.org/10.1080/014461998372501
[213] Alhazmi T, McCaffer R. Project procurement system selection model. Journal of Construction Engineering and Management. 2000;126(3):176–184. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:3(176)
[214] Turner JR, Simister SJ. Project contract management and a theory of organization. International Journal of Project Management. 2001;19(8):457–464.
[215] Tran DQ, Molenaar KR. Risk-based project delivery selection model for highway design and construction. Journal of Construction Engineering and Management. 2015;141(12):04015041. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001024
[216] Mesa HA, Molenaar KR, Alarcón LF. Exploring performance of the integrated project delivery process on complex building projects. International Journal of Project Management. 2016;34(7):1089–1101. https://doi.org/10.1016/j.ijproman.2016.05.007
[217] Sullivan J, Asmar ME, Chalhoub J, Obeid H. Two decades of performance comparisons for design-build, construction manager at risk, and design-bid-build: Quantitative analysis of the state of knowledge on project cost, schedule, and quality. Journal of Construction Engineering and Management. 2017;143(6):04017009. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001282
[218] Bubshait AA. Incentive/disincentive contracts and its effects on industrial projects. International Journal of Project Management. 2003;21(1):63–70.
[219] Meng X, Gallagher B. The impact of incentive mechanisms on project performance. International Journal of Project Management. 2012;30(3):352–362.
[220] Uchechi N, Ominyi M, Anichukwueze CC, Jones BC. Force majeure and contractual resilience in global energy supply chains: A systematic review. International Journal of Multidisciplinary Research and Growth Evaluation. 2020;1(5):1247–1264. https://doi.org/10.54660/.IJMRGE.2020.1.5.1247-1264
[221] Uchechi N, Ominyi M, Anichukwueze CC, Jones BC. Corporate policy advocacy and regulatory reform: Streamlining statutory bidding workflows in emerging energy markets. Iconic Research and Engineering Journals. 2019;3(5):672–709. https://doi.org/10.64388/IREV3I5-1722791
[222] Anichukwueze CC, Ominyi M, Uzougbo NS, Jones BC. Cross-functional legal education as risk mitigation: Empirical analysis of contract error reduction in engineering teams. International Journal of Engineering and Modern Technology. 2022;8(5):142–180. https://doi.org/10.56201/ijemt.v8.no5.2022.pg142.180
[223] Larson E. Project partnering: Results of study of 280 construction projects. Journal of Management in Engineering. 1995;11(2):30–35. https://doi.org/10.1061/(ASCE)0742-597X(1995)11:2(30)
[224] Bresnen M, Marshall N. Partnering in construction: A critical review of issues, problems and dilemmas. Construction Management and Economics. 2000;18(2):229–237. https://doi.org/10.1080/014461900370852
[225] Alderman N, Ivory C. Partnering in major contracts: Paradox and metaphor. International Journal of Project Management. 2007;25(4):386–393. https://doi.org/10.1016/j.ijproman.2007.01.002
[226] Bygballe LE, Jahre M, Swärd A. Partnering relationships in construction: A literature review. Journal of Purchasing and Supply Management. 2010;16(4):239–253. https://doi.org/10.1016/j.pursup.2010.08.002
[227] Eriksson PE. Partnering: What is it, when should it be used, and how should it be implemented? Construction Management and Economics. 2010;28(9):905–917. https://doi.org/10.1080/01446190903536422
[228] Aarseth W, Andersen B, Ahola T, Jergeas G. Practical difficulties encountered in attempting to implement a partnering approach. International Journal of Managing Projects in Business. 2012;5(2):266–284.
[229] Du L, Tang W, Liu C, Wang S, Wang T, Shen W, et al. Enhancing engineer-procure-construct project performance by partnering in international markets: Perspective from Chinese construction companies. International Journal of Project Management. 2016;34(1):30–43. https://doi.org/10.1016/j.ijproman.2015.09.003
[230] Wang T, Tang W, Du L, Duffield CF, Wei Y. Relationships among risk management, partnering, and contractor capability in international EPC project delivery. Journal of Management in Engineering. 2016;32(6):04016017. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000459
[231] Bresnen M, Marshall N. Motivation, commitment and the use of incentives in partnerships and alliances. Construction Management and Economics. 2000;18(5):587–598. https://doi.org/10.1080/014461900407392
[232] Green R. Measuring goodwill trust between groups of people: Three years of an oil industry alliance. Strategic Change. 2003;12:367–379.
[233] Yeung JFY, Chan APC, Chan DWM. The definition of alliancing in construction as a wittgenstein family-resemblance concept. International Journal of Project Management. 2007;25(3):219–231. https://doi.org/10.1016/j.ijproman.2006.10.003
[234] Love PED, Mistry D, Davis PR. Price competitive alliance projects: Identification of success factors for public clients. Journal of Construction Engineering and Management. 2010;136(9):947–956. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000208
[235] Davis P, Love P. Alliance contracting: Adding value through relationship development. Engineering, Construction and Architectural Management. 2011;18(5):444–461. https://doi.org/10.1108/09699981111165167
[236] Lahdenperä P. Making sense of the multi-party contractual arrangements of project partnering, project alliancing and integrated project delivery. Construction Management and Economics. 2012;30(1):57–79. https://doi.org/10.1080/01446193.2011.648947
[237] Lloyd-Walker BM, Mills AJ, Walker DHT. Enabling construction innovation: The role of a no-blame culture as a collaboration behavioural driver in project alliances. Construction Management and Economics. 2014;32(3):229–245. https://doi.org/10.1080/01446193.2014.892629
[238] Walker DHT, Lloyd-Walker BM. Collaborative project procurement arrangements. Project Management Institute. 2015.
[239] Walker DHT, Harley J, Mills A. Performance of project alliancing in australasia: A digest of infrastructure development from 2008 to 2013. Construction Economics and Building. 2015;15(1):1–18. https://doi.org/10.5130/ajceb.v15i1.4186
[240] Hietajärvi AM, Aaltonen K, Haapasalo H. Managing integration in infrastructure alliance projects: Dynamics of integration mechanisms. International Journal of Managing Projects in Business. 2017;10(1):5–31. https://doi.org/10.1108/ijmpb-02-2016-0009
[241] Engebø A, Lædre O, Young B, Larssen PF, Lohne J, Klakegg OJ. Collaborative project delivery methods: A scoping review. Journal of Civil Engineering and Management. 2020;26(3):278–303. https://doi.org/10.3846/jcem.2020.12186
[242] Hosseinian SM, Carmichael DG. Optimal gainshare/painshare in alliance projects. Journal of the Operational Research Society. 2013;64(8):1269–1278. https://doi.org/10.1057/jors.2012.146
[243] Rahman MM, Kumaraswamy MM. Relational contracting and teambuilding: Assessing potential contractual and noncontractual incentives. Journal of Management in Engineering. 2008;24:48–63.
[244] Gil N. Developing cooperative project client-supplier relationships: How much to expect from relational contracts? California Management Review. 2009;51(2):144–169.
[245] Yeung JFY, Chan APC, Chan DWM. Defining relational contracting from the wittgenstein family-resemblance philosophy. International Journal of Project Management. 2012;30(2):225–239. https://doi.org/10.1016/j.ijproman.2011.06.002
[246] Ling FYY, Ke Y, Kumaraswamy MM, Wang S. Key relational contracting practices affecting performance of public construction projects in China. Journal of Construction Engineering and Management. 2014;140(1):04013034. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000781
[247] Ning Y, Ling FYY. The effects of project characteristics on adopting relational transaction strategies. International Journal of Project Management. 2015;33(5):998–1007. https://doi.org/10.1016/j.ijproman.2014.12.006
[248] Rahman MM, Kumaraswamy MM. Joint risk management through transactionally efficient relational contracting. Construction Management and Economics. 2002;20(1):45–54. https://doi.org/10.1080/01446190110089682
[249] Müller R, Turner JR. The impact of principal-agent relationship and contract type on communication between project owner and manager. International Journal of Project Management. 2005;23:398–403.
[250] Winch GM. Three domains of project organising. International Journal of Project Management. 2014;32(5):721–731. https://doi.org/10.1016/j.ijproman.2013.10.012
[251] Winch G, Leiringer R. Owner project capabilities for infrastructure development: A review and development of the “strong owner” concept. International Journal of Project Management. 2016;34(2):271–281. https://doi.org/10.1016/j.ijproman.2015.02.002
[252] Gulino ML, Sergeeva N, Winch G. Owner capabilities in social infrastructure projects: Towards an expansion of the dynamic capabilities’ framework. International Journal of Managing Projects in Business. 2020;13(6):1263–1282. https://doi.org/10.1108/IJMPB-10-2019-0254
[253] Winch G, Cha J. Owner challenges on major projects: The case of UK government. International Journal of Project Management. 2020;38(3):177–187. https://doi.org/10.1016/j.ijproman.2020.03.001
[254] Zhu J, Hertogh M, Zhang J, Shi Q, Sheng Z. Incentive mechanisms in mega project-risk management considering owner and insurance company as principals. Journal of Construction Engineering and Management. 2020;146(10):04020120. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001915
[255] Davies A, Dodgson M, Gann D. Dynamic capabilities in complex projects: The case of london heathrow terminal 5. Project Management Journal. 2016;47(2):26–46. https://doi.org/10.1002/pmj.21574
[256] Eriksson PE. Partnering in engineering projects: Four dimensions of supply chain integration. Journal of Purchasing and Supply Management. 2015;21(1):38–50. https://doi.org/10.1016/j.pursup.2014.08.003
[257] Pinto JK, Slevin DP, English B. Trust in projects: An empirical assessment of owner/contractor relationships. International Journal of Project Management. 2009;27(6):638–648.
[258] Smyth H, Gustafsson M, Ganskau E. The value of trust in project business. International Journal of Project Management. 2010;28(2):117–129.
[259] Lau E, Rowlinson S. The implications of trust in relationships in managing construction projects. International Journal of Managing Projects in Business. 2011;4(4):633–659.
[260] Schindler M, Eppler MJ. Harvesting project knowledge: A review of project learning methods and success factors. International Journal of Project Management. 2003;21(3):219–228.
[261] Williams T. How do organizations learn lessons from projects: And do they? IEEE Transactions on Engineering Management. 2008;55(2):248–266.
[262] Swan J, Scarbrough H, Newell S. Why don’t (or do) organizations learn from projects? Management Learning. 2010;41(3):325–344.
[263] Stockholm G. Insight from hindsight: A practitioner’s perspective on a causal approach to performance improvement. Safety Science. 2011;49(1):39–46.
[264] Carrillo P, Ruikar K, Fuller P. When will we learn? Improving lessons learned practice in construction. International Journal of Project Management. 2013;31(4):567–578.
[265] Carrillo P. Lessons learned practices in the engineering, procurement and construction sector. Engineering, Construction and Architectural Management. 2005;12(3):236–250.
[266] Henderson JR, Ruikar KD, Dainty AR. The need to improve double-loop learning and design-construction feedback loops: A survey of industry practice. Engineering, Construction and Architectural Management. 2013;20(3):290–306.
[267] Rhodes L, Dawson R. Lessons learned from lessons learned. Knowledge and Process Management. 2013;20(3):154–160.
[268] Duffield SM, Whitty SJ. Developing a systemic lessons learned knowledge model for organisational learning through projects. International Journal of Project Management. 2015;33(2):311–324.
[269] Duffield SM, Whitty SJ. Application of the systemic lessons learned knowledge model for organisational learning through projects. International Journal of Project Management. 2016;34(7):1280–1293.
[270] Bresnen M, Goussevskaia A, Swan J. Organizational routines, situated learning and processes of change in project-based organizations. Project Management Journal. 2005;36(3):27–41.
[271] Chronéer D, Backlund F. A holistic view on learning in project-based organizations. Project Management Journal. 2015;46(3):61–74.
[272] Wiewiora A, Chang A, Smidt M. Individual, project and organizational learning flows within a global project-based organization: Exploring what, how and who. International Journal of Project Management. 2020;38(1):201–214.
[273] Iftikhar R, Ahola T, Butt A. Learning from interorganizational projects. International Journal of Managing Projects in Business. 2022;15(1):102–120.
[274] Alavi M, Leidner DE. Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly. 2001;25(1):107–136.
[275] Davies A, Brady T. Explicating the dynamics of project capabilities. International Journal of Project Management. 2016;34(2):314–327. https://doi.org/10.1016/j.ijproman.2015.04.006
[276] Zerjav V, Edkins A, Davies A. Project capabilities for operational outcomes in inter-organisational settings: The case of london heathrow terminal 2. International Journal of Project Management. 2018;36(3):444–459. https://doi.org/10.1016/j.ijproman.2018.01.004
[277] Li H, Cheng EWL, Love PED, Irani Z. Co-operative benchmarking: A tool for partnering excellence in construction. International Journal of Project Management. 2001;19(3):171–179. https://doi.org/10.1016/S0263-7863(99)00033-2
[278] Merrow EW, Nandurdikar N. Leading complex projects: A data-driven approach to mastering the human side of project management. Wiley. 2018.
[279] Arumosoye OM, Obriki OD. Organizational learning-based conceptual maturity model for continuous safety performance improvement. International Journal of Multidisciplinary Research and Growth Evaluation. 2021;2(1):970–980. https://doi.org/10.54660/.IJMRGE.2021.2.1.970-980
[280] He Q, Tian Z, Wang T. Performance measurement methods in megaprojects: An analytical review. International Journal of Project Management. 2022;40(6):634–645.
[281] Kassem MA, Khoiry MA, Hamzah N. Assessment of the effect of external risk factors on the success of an oil and gas construction project. Engineering, Construction and Architectural Management. 2020;27(9):2767–2793.
[282] Sunindijo RY, Zou PXW. Conceptualizing safety management in construction projects. Journal of Construction Engineering and Management. 2013;139(9):1144–1153.
[283] Healey N, Sugden C. Safety culture on the olympic park (research report RR942). Health and Safety Executive. 2012.
[284] Cox S, Flin R. Safety culture: Philosopher’s stone or man of straw? Work & Stress. 1998;12(3):189–201.
[285] Cooper MD. Towards a model of safety culture. Safety Science. 2000;36:111–136.
[286] Neal A, Griffin MA, Hart PM. The impact of organizational climate on safety climate and individual behavior. Safety Science. 2000;34(1–3):99–109.
[287] Griffin MA, Neal A. Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation. Journal of Occupational Health Psychology. 2000;5(3):347. https://doi.org/10.1037/1076-8998.5.3.347
[288] Neal A, Griffin MA. A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels. Journal of Applied Psychology. 2006;91(4). https://doi.org/10.1037/0021-9010.91.4.946
[289] Clarke S. The relationship between safety climate and safety performance: A meta-analytic review. Journal of Occupational Health Psychology. 2006;11(4):315–327. https://doi.org/10.1037/1076-8998.11.4.315
[290] Christian MS, Bradley JC, Wallace JC, Burke MJ. Workplace safety: A meta-analysis of the roles of person and situation factors. Journal of Applied Psychology. 2009;94(5):1103–1127. https://doi.org/10.1037/a0016172
[291] Glendon AI, Litherland DK. Safety climate factors, group differences and safety behaviour in road construction. Safety Science. 2001;39(3):157–188.
[292] Gillen M, Baltz D, Gassel M, Kirsch L, Vaccaro D. Perceived safety climate, job demands, and coworker support among union and nonunion injured construction workers. Journal of Safety Research. 2002;33(1):33–51. https://doi.org/10.1016/S0022-4375(02)00002-6
[293] Mohamed S. Safety climate in construction site environments. Journal of Construction Engineering and Management. 2002;128(5):375–384.
[294] Siu OL, Phillips DR, Leung TW. Safety climate and safety performance among construction workers in Hong Kong: The role of psychological strains as mediators. Accident Analysis & Prevention. 2004;36(3):359–366. https://doi.org/10.1016/S0001-4575(03)00016-2
[295] Fang D, Chen Y, Wong L. Safety climate in construction industry: A case study in Hong Kong. Journal of Construction Engineering and Management. 2006;132(6):573–584.
[296] Fung IWH, Tam CM, Tung KCF, Man ASK. Safety cultural divergences among management, supervisory and worker groups in Hong Kong construction industry. International Journal of Project Management. 2005;23(7):504–512.
[297] Meliá JL, Mearns K, Silva SA, Lima ML. Safety climate responses and the perceived risk of accidents in the construction industry. Safety Science. 2008;46(6):949–958.
[298] Choudhry RM, Fang D, Lingard H. Measuring safety climate of a construction company. Journal of Construction Engineering and Management. 2009;135(9):890–899.
[299] Lingard HC, Cooke T, Blismas N. Group-level safety climate in the australian construction industry: Within-group homogeneity and between-group differences in road construction and maintenance. Construction Management and Economics. 2009;27(4):419–432.
[300] Cigularov KP, Chen PY, Rosecrance J. The effects of error management climate and safety communication on safety: A multi-level study. Accident Analysis & Prevention. 2010;42(5):1498–1506. https://doi.org/10.1016/j.aap.2010.01.003
[301] Zhou Q, Fang D, Mohamed S. Safety climate improvement: Case study in a Chinese construction company. Journal of Construction Engineering and Management. 2011;137(1):86–95.
[302] Chen Q, Jin R. Multilevel safety culture and climate survey for assessing new safety program. Journal of Construction Engineering and Management. 2013;139(7):805–817.
[303] Niu M, Leicht RM, Rowlinson S. Developing safety climate indicators in a construction working environment. Practice Periodical on Structural Design and Construction. 2017;22(4):04017019. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000340
[304] Chen Y, McCabe B, Hyatt D. A resilience safety climate model predicting construction safety performance. Safety Science. 2018;109:434–445. https://doi.org/10.1016/j.ssci.2018.07.003
[305] Molenaar KR, Park JI, Washington S. Framework for measuring corporate safety culture and its impact on construction safety performance. Journal of Construction Engineering and Management. 2009;135(6):488–496.
[306] Fang D, Wu H. Development of a safety culture interaction (SCI) model for construction projects. Safety Science. 2013;57:138–149.
[307] Meng X, Chan AH, Lui LK, Fang Y. Effects of individual and organizational factors on safety consciousness and safety citizenship behavior of construction workers: A comparative study between Hong Kong and mainland China. Safety Science. 2021;135:105116.
[308] Xia N, Xie Q, Griffin MA, Ye G, Yuan J. Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework. Accident Analysis & Prevention. 2020;148:105834. https://doi.org/10.1016/j.aap.2020.105834
[309] Elvik R, Nævestad TO, Hesjevoll IS. Regulating the intangible: Searching for safety culture in the norwegian petroleum industry. Accident Analysis & Prevention. 2021;159:106282.
[310] Tang DKH, Dawal SZM, Olugu EU. Actual safety performance of the malaysian offshore oil platforms: Correlations between the leading and lagging indicators. Journal of Safety Research. 2018;66:9–19.
[311] Almeida, A. G. de, & Vinnem, J. E. Major accident prevention illustrated by hydrocarbon leak case studies: A comparison between brazilian and norwegian offshore functional petroleum safety regulatory approaches. Safety Science. 2020;121:652–665.
[312] Benson C, Dimopoulos C, Argyropoulos CD, Varianou Mikellidou C, Boustras G. Assessing the common occupational health hazards and their health risks among oil and gas workers. Safety Science. 2021;140:105284. https://doi.org/10.1016/j.ssci.2021.105284
[313] Naji GMA, Isha ASN, Alazzani A, Brough P, Saleem MS, Mohyaldinn ME, et al. Do leadership, organizational communication, and work environment impact employees’ psychosocial hazards in the oil and gas industry? International Journal of Environmental Research and Public Health. 2022;19:4432. https://doi.org/10.3390/ijerph19084432
[314] Saedi AM, Majid AA, Isa Z. Relationships between safety climate and safety participation in the petroleum industry: A structural equation modeling approach. Safety Science. 2020;121:240–248.
[315] Gao Y, Fan Y, Wang J, Li X, Pei J. The mediating role of safety management practices in process safety culture in the Chinese oil industry. Journal of Loss Prevention in the Process Industries. 2019;57:223–230.
[316] Almazrouei M, Khalid K, Abdallah S, Davidson R. Assessing the health, safety, and environment culture in the United arab emirates oil and gas industry. Journal of Engineering, Design and Technology. 2020;18(2):495–512.
[317] Salas R, Hallowell M. Predictive validity of safety leading indicators: Empirical assessment in the oil and gas sector. Journal of Construction Engineering and Management. 2016;142(10):04016052. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001167
[318] Kjellén U. The safety measurement problem revisited. Safety Science. 2009;47(4):486–489.
[319] Mearns K. From reactive to proactive - can LPIs deliver? Safety Science. 2009;47(4):491–492.
[320] Kongsvik T, Almklov P, Fenstad J. Organisational safety indicators: Some conceptual considerations and a supplementary qualitative approach. Safety Science. 2010;48(10):1402–1411.
[321] Øien K, Utne IB, Herrera IA. Building safety indicators: Part 1 - theoretical foundation. Safety Science. 2011;49(2):148–161.
[322] Reiman T, Pietikäinen E. Leading indicators of system safety - monitoring and driving the organizational safety potential. Safety Science. 2012;50(10):1993–2000.
[323] Biggs HC, Biggs SE. Interlocked projects in safety competency and safety effectiveness indicators in the construction sector. Safety Science. 2013;52:37–42. https://doi.org/10.1016/j.ssci.2012.03.014
[324] Podgórski D. Measuring operational performance of OSH management system - a demonstration of AHP-based selection of leading key performance indicators. Safety Science. 2015;73:146–166.
[325] Sinelnikov S, Inouye J, Kerper S. Using leading indicators to measure occupational health and safety performance. Safety Science. 2015;72:240–248.
[326] Sheehan C, Donohue R, Shea T, Cooper B, De Cieri H. Leading and lagging indicators of occupational health and safety: The moderating role of safety leadership. Accident Analysis & Prevention. 2016;92:130–138.
[327] Oswald D, Sherratt F, Smith S. Problems with safety observation reporting: A construction industry case study. Safety Science. 2018;107:35–45. https://doi.org/10.1016/j.ssci.2018.04.004
[328] Oswald D. Safety indicators: Questioning the quantitative dominance. Construction Management and Economics. 2020;38(1):11–17.
[329] Shaikh AY, Osei-Kyei R, Hardie M. A critical analysis of safety performance indicators in construction. International Journal of Building Pathology and Adaptation. 2020;39(3):547–580. https://doi.org/10.1108/IJBPA-03-2020-0018
[330] Dyreborg J. The causal relation between lead and lag indicators. Safety Science. 2009;47(4):474–475.
[331] Rajendran S. Enhancing construction worker safety performance using leading indicators. Practice Periodical on Structural Design and Construction. 2013;18(1):45–51. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000137
[332] Leveson N. A systems approach to risk management through leading safety indicators. Reliability Engineering & System Safety. 2015;136:17–34. https://doi.org/10.1016/j.ress.2014.10.008
[333] Guo BHW, Yiu TW. Developing leading indicators to monitor the safety conditions of construction projects. Journal of Management in Engineering. 2016;32(1).
[334] Akroush NS, El-Adaway IH. Utilizing construction leading safety indicators: Case study of tennessee. Journal of Management in Engineering. 2017;33(5):06017002. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000546
[335] Poh CQX, Ubeynarayana CU, Goh YM. Safety leading indicators for construction sites: A machine learning approach. Automation in Construction. 2018;93:375–386.
[336] Alruqi WM, Hallowell MR. Critical success factors for construction safety: Review and meta-analysis of safety leading indicators. Journal of Construction Engineering and Management. 2019;145(3).
[337] Costin A, Wehle A, Adibfar A. Leading indicators: A conceptual IoT-based framework to produce active leading indicators for construction safety. Safety. 2019;5(4):86.
[338] Hallowell MR, Bhandari S, Alruqi W. Methods of safety prediction: Analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate. Construction Management and Economics. 2020;38(4):308–321.
[339] Erkal EDO, Hallowell MR, Bhandari S. Practical assessment of potential predictors of serious injuries and fatalities in construction. Journal of Construction Engineering and Management. 2021;147(10):04021129.
[340] Kenan S, Kadri S. Process safety leading indicators survey - february 2013: Center for chemical process safety white paper. Process Safety Progress. 2014;33(3):247–258.
[341] Schmitz, P., Swuste, P., Reniers, G., & Nunen, K. v. Predicting major hazard accidents in the process industry based on organizational factors: A practical, qualitative approach. Process Safety and Environmental Protection. 2021;148:1268–1278.
[342] Probst TM, Brubaker TL, Barsotti A. Organizational injury rate underreporting: The moderating effect of organizational safety climate. Journal of Applied Psychology. 2008;93(5):1147–1154. https://doi.org/10.1037/0021-9010.93.5.1147
[343] Lingard H, Cooke T, Blismas N. Do perceptions of supervisors’ safety responses mediate the relationship between perceptions of the organizational safety climate and incident rates in the construction supply chain? Journal of Construction Engineering and Management. 2012;138(2):234–241.
[344] Sparer EH, Murphy LA, Taylor KM, Dennerlein JT. Correlation between safety climate and contractor safety assessment programs in construction. American Journal of Industrial Medicine. 2013;56(12):1463–1472. https://doi.org/10.1002/ajim.22241
[345] Karakhan AA, Rajendran S, Gambatese J, Nnaji C. Measuring and evaluating safety maturity of construction contractors: Multicriteria decision-making approach. Journal of Construction Engineering and Management. 2018;144:04018054.
[346] Liu KH, Tessler J, Murphy LA, Chang CC, Dennerlein JT. The gap between tools and best practice: An analysis of safety prequalification surveys in the construction industry. New Solutions. 2019;28(4):683–703. https://doi.org/10.1177/1048291118813583
[347] Manjourides J, Dennerlein JT. Testing the associations between leading and lagging indicators in a contractor safety pre-qualification database. American Journal of Industrial Medicine. 2019;62(4):317–324.
[348] Obogo SF, Ozobu CO, Uduokhai DO. Development of a construction safety risk governance model for multi contractor high rise projects. Iconic Research and Engineering Journals. 2019;2(9):502–522. https://doi.org/10.64388/IREV2I9-1715495
[349] Kines P, Andersen LPS, Spangenberg S, Mikkelsen KL, Dyreborg J, Zohar D. Improving construction site safety through leader-based verbal safety communication. Journal of Safety Research. 2010;41(5):399–406. https://doi.org/10.1016/j.jsr.2010.06.005
[350] Sparer EH, Herrick RF, Dennerlein JT. Development of a safety communication and recognition program for construction. New Solutions. 2015;25(1):42–58. https://doi.org/10.1177/1048291115569025
[351] Fang D, Wu C, Wu H. Impact of the supervisor on worker safety behavior in construction projects. Journal of Management in Engineering. 2015;31:04015001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000355
[352] Wachter JK, Yorio PL. A system of safety management practices and worker engagement for reducing and preventing accidents: An empirical and theoretical investigation. Accident Analysis & Prevention. 2014;68:117–130. https://doi.org/10.1016/j.aap.2013.07.029
[353] Aksorn T, Hadikusumo BHW. Measuring effectiveness of safety programmes in the thai construction industry. Construction Management and Economics. 2008;26(4):409–421. https://doi.org/10.1080/01446190801918722
[354] Choudhry RM, Fang D, Ahmed SM. Safety management in construction: Best practices in Hong Kong. Journal of Professional Issues in Engineering Education and Practice. 2008;134(1):20–32. https://doi.org/10.1061/(ASCE)1052-3928(2008)134:1(20)
[355] Raheem AA, Hinze JW. Disparity between construction safety standards: A global analysis. Safety Science. 2014;70:276–287. https://doi.org/10.1016/j.ssci.2014.06.012
[356] Gittleman JL, Gardner PC, Haile E, Sampson JM, Cigularov KP, Ermann ED, et al. [Case study] CityCenter and cosmopolitan construction projects, las vegas, nevada: Lessons learned from the use of multiple sources and mixed methods in a safety needs assessment. Journal of Safety Research. 2010;41(3):263–281. https://doi.org/10.1016/j.jsr.2010.04.004
[357] Obogo SF, Ozobu CO, Uduokhai DO. Advances in leadership driven safety culture transformation in large construction workforces. Iconic Research and Engineering Journals. 2019;3(5):507–523. https://doi.org/10.64388/IREV3I5-1715497
[358] Obriki OD, Adegbuji OM. A conceptual framework linking management safety walkthrough frequency and coverage to safety culture outcomes in mega projects. Iconic Research and Engineering Journals. 2019;2(8):355–374. https://doi.org/10.64388/IREV2I8-1714416
[359] Obriki OD, Obogo SF, Arumosoye OM. Advances in workforce safety training models for operational risk reduction. Gyanshauryam, International Scientific Refereed Research Journal. 2022;5(6):349–382. https://doi.org/10.32628/GISRRJ225638
[360] Obriki OD, Arumosoye OM. Conceptual model for institutionalizing life-preserving safety practices across project-based organizations. International Journal of Multidisciplinary Research and Growth Evaluation. 2021;2(1):961–969. https://doi.org/10.54660/.IJMRGE.2021.2.1.961-969
[361] Obogo SF, Uduokhai DO, Ozobu CO. Systematic review of hazard identification and risk control practices in urban construction projects. Iconic Research and Engineering Journals. 2019;2(12):666–681. https://doi.org/10.64388/IREV2I12-1715496
[362] Neill M. Web-based solutions for hazardous work management: A case study. SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production. 2004.
[363] Burrows R. Implementing an electronic permit to work system in qatargas. SPE International Health, Safety & Environment Conference. 2006.
[364] Jahangiri M, Hoboubi N, Rostamabadi A, Keshavarzi S, Hosseini AA. Human error analysis in a permit to work system: A case study in a chemical plant. Safety and Health at Work. 2016;7(1):6–11.
[365] Pillay M, Tuck M. Permit-to-work systems as a health and safety risk control strategy in mining: A prospective study in resilience engineering. International Conference on Applied Human Factors and Ergonomics. 2017.
[366] Sarkheil H, Azimi Y, Jafari Aghdash J. Fault creator cases analysis based on Bayesian method in current permit to work system to optimize the protection layers and risk management, during commissioning and start-up phases of gas refinery plant. International Journal of Occupational Hygiene. 2019;11(2):71–84.
[367] Gort J, Zwetsloot GIJM. An integrated approach towards safety during change in the chemical process industry. 11th Loss Prevention and Safety Promotion in the Process Industry Conference, Prague. 2004.
[368] Zwetsloot GIJM, Gort J, Steijger N, Moonen C. Management of change: Lessons learned from staff reductions in the chemical process industry. Safety Science. 2006;769–789.
[369] Obogo SF, Arumosoye OM, Obriki OD. Conceptual risk management model for heavy lifting and crane installation engineering operations. Shodhshauryam, International Scientific Refereed Research Journal. 2020;3(4):122–144. https://doi.org/10.32628/SHISRRJ214441
[370] Arumosoye OM, Obriki OD. Conceptual risk pathway model for lifting and rigging operations in heavy industrial construction. Gyanshauryam, International Scientific Refereed Research Journal. 2022;5(5):346–369. https://doi.org/10.32628/GISRRJ2256237
[371] Hansez I, Chmiel N. Safety behavior: Job demands, job resources, and perceived management commitment to safety. Journal of Occupational Health Psychology. 2010;15:267–278. https://doi.org/10.1037/a0019528
[372] Li F, Jiang L, Yao X, Li Y. Job demands, job resources and safety outcomes: The roles of emotional exhaustion and safety compliance. Accident Analysis & Prevention. 2013;51:243–251. https://doi.org/10.1016/j.aap.2012.11.029
[373] Wang D, Xia N. How safety-related stress affects workers’ safety behavior: The moderating role of psychological capital. Safety Science. 2018;103:247–259. https://doi.org/10.1016/j.ssci.2017.11.020
[374] Saleem MS, Isha ASNB, Benson C, Awan MI, Naji GMA, Yusop YB. Analyzing the impact of psychological capital and work pressure on employee job engagement and safety behavior. Frontiers in Public Health. 2022;10:1086843. https://doi.org/10.3389/fpubh.2022.1086843
[375] Umar T, Umeokafor N. A review of the costs of accident in GCC construction. Proceedings of the Joint CIB W099 & W123 Annual International Conference 2021, Glasgow. 2021;274–282.
[376] Tang SL, Ying KC, Chan WY, Chan YL. Impact of social safety investments on social costs of construction accidents. Construction Management and Economics. 2004;22(9):937–946.
[377] Teo EAL, Feng Y. The indirect effect of safety investment on safety performance for building projects. Architectural Science Review. 2011;54(1):65–80.
[378] Feng Y, Teo EAL, Ling FYY, Low SP. Exploring the interactive effects of safety investments, safety culture and project hazard on safety performance: An empirical analysis. International Journal of Project Management. 2014;32(6):932–943.
[379] Chatzimichailidou M, Ma Y. Using BIM in the safety risk management of modular construction. Safety Science. 2022;154:105852. https://doi.org/10.1016/j.ssci.2022.105852
[380] Hou L, Wu S, Zhang GK, Tan Y, Wang X. Literature review of digital twins applications in construction workforce safety. Applied Sciences. 2021;11(1):339. https://doi.org/10.3390/app11010339
[381] Salem T, Dragomir M. Options for and challenges of employing digital twins in construction management. Applied Sciences. 2022;12(6):2928. https://doi.org/10.3390/app12062928
[382] Koo B, Fischer M. Feasibility study of 4D CAD in commercial construction. Journal of Construction Engineering and Management. 2000;126(4):251–260. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:4(251)
[383] Moon H, Kim H, Kim C, Kang L. Development of a schedule-workspace interference management system simultaneously considering the overlap level of parallel schedules and workspaces. Automation in Construction. 2014;39:93–105. https://doi.org/10.1016/j.autcon.2013.06.001
[384] Trebbe M, Hartmann T, Dorée A. 4D CAD models to support the coordination of construction activities between contractors. Automation in Construction. 2015;49:83–91. https://doi.org/10.1016/j.autcon.2014.10.002
[385] Kassem M, Dawood N, Chavada R. Construction workspace management within an industry foundation class-compliant 4D tool. Automation in Construction. 2015;52:42–58. https://doi.org/10.1016/j.autcon.2015.02.008
[386] Gledson BJ, Greenwood DJ. Surveying the extent and use of 4D BIM in the UK. Journal of Information Technology in Construction. 2016;21:57–71.
[387] Boton C. Supporting constructability analysis meetings with immersive virtual reality-based collaborative BIM 4D simulation. Automation in Construction. 2018;96:1–15. https://doi.org/10.1016/j.autcon.2018.08.020
[388] Bortolini R, Formoso CT, Viana DD. Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling. Automation in Construction. 2019;98:248–264. https://doi.org/10.1016/j.autcon.2018.11.031
[389] Gong P, Zeng N, Ye K, König M. An empirical study on the acceptance of 4D BIM in EPC projects in China. Sustainability. 2019;11(5):1316. https://doi.org/10.3390/su11051316
[390] Elghaish F, Abrishami S. Developing a framework to revolutionise the 4D BIM process: IPD-based solution. Construction Innovation. 2020;20(3):401–420. https://doi.org/10.1108/CI-11-2019-0127
[391] Tak AN, Taghaddos H, Mousaei A, Bolourani A, Hermann U. BIM-based 4D mobile crane simulation and onsite operation management. Automation in Construction. 2021;128:103766. https://doi.org/10.1016/j.autcon.2021.103766
[392] Doukari O, Seck B, Greenwood D. The efficient generation of 4D BIM construction schedules: A case study of the nanterre 2 CESI project in france. Frontiers in Built Environment. 2022;8:998309. https://doi.org/10.3389/fbuil.2022.998309
[393] Jupp J. 4D BIM for environmental planning and management. Procedia Engineering. 2017;180:190–201. https://doi.org/10.1016/j.proeng.2017.04.178
[394] Golparvar-Fard M, Peña-Mora F, Arboleda CA, Lee S. Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs. Journal of Computing in Civil Engineering. 2009;23(6):391–404. https://doi.org/10.1061/(ASCE)0887-3801(2009)23:6(391)
[395] Ayman HM, Mahfouz SY, Alhady A. Integrated EDM and 4D BIM-based decision support system for construction projects control. Buildings. 2022;12(3):315. https://doi.org/10.3390/buildings12030315
[396] Mayouf M, Gerges M, Cox S. 5D BIM: An investigation into the integration of quantity surveyors within the BIM process. Journal of Engineering, Design and Technology. 2019;17(3):537–553. https://doi.org/10.1108/JEDT-05-2018-0080
[397] Banihashemi S, Khalili S, Sheikhkhoshkar M, Fazeli A. Machine learning-integrated 5D BIM informatics: Building materials costs data classification and prototype development. Innovative Infrastructure Solutions. 2022;7(3):215.
[398] Becerik-Gerber B, Jazizadeh F, Li N, Calis G. Application areas and data requirements for BIM-enabled facilities management. Journal of Construction Engineering and Management. 2012;138(3):431–442. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000433
[399] Ashworth A. The impact of building information modelling: Transforming construction. Construction Management and Economics. 2012;30(2):183–185. https://doi.org/10.1080/01446193.2012.655250
[400] Hu ZZ, Tian PL, Li SW, Zhang JP. BIM-based integrated delivery technologies for intelligent MEP management in the operation and maintenance phase. Advances in Engineering Software. 2018;115:1–16. https://doi.org/10.1016/j.advengsoft.2017.08.007
[401] Sidani A, Dinis FM, Duarte J, Sanhudo L, Calvetti D, Baptista JS, et al. Recent tools and techniques of BIM-based augmented reality: A systematic review. Journal of Building Engineering. 2021;42:102500. https://doi.org/10.1016/j.jobe.2021.102500
[402] Gurevich U, Sacks R. Longitudinal study of BIM adoption by public construction clients. Journal of Management in Engineering. 2020;36(4):05020008. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000797
[403] Bilal M, Oyedele LO, Qadir J, Munir K, Ajayi SO, Akinade OO, et al. Big data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics. 2016;30(3):500–521. https://doi.org/10.1016/j.aei.2016.07.001
[404] Darko A, Chan APC, Adabre MA, Edwards DJ, Hosseini MR, Ameyaw EE. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction. 2020;112:103081. https://doi.org/10.1016/j.autcon.2020.103081
[405] Negri E, Fumagalli L, Macchi M. A review of the roles of digital twin in CPS-based production systems. Procedia Manufacturing. 2017;11:939–948. https://doi.org/10.1016/j.promfg.2017.07.198
[406] Kritzinger W, Karner M, Traar G, Henjes J, Sihn W. Digital twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine. 2018;51(11):1016–1022. https://doi.org/10.1016/j.ifacol.2018.08.474
[407] Grieves M, Vickers J. Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In F.-J. Kahlen, S. Flumerfelt, & A. Alves (Eds.), Transdisciplinary perspectives on complex systems (pp. 85–113). Springer. 2017;85–113.
[408] Khajavi SH, Motlagh NH, Jaribion A, Werner LC, Holmstrom J. Digital twin: Vision, benefits, boundaries, and creation for buildings. IEEE Access. 2019;7:147406–147419. https://doi.org/10.1109/ACCESS.2019.2946515
[409] Sacks R, Brilakis I, Pikas E, Xie HS, Girolami M. Construction with digital twin information systems. Data-Centric Engineering. 2020;1:e14. https://doi.org/10.1017/dce.2020.16
[410] Shirowzhan S, Tan W, Sepasgozar SME. Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities. ISPRS International Journal of Geo-Information. 2020;9(4):240. https://doi.org/10.3390/ijgi9040240
[411] Boje C, Guerriero A, Kubicki S, Rezgui Y. Towards a semantic construction digital twin: Directions for future research. Automation in Construction. 2020;114:103179. https://doi.org/10.1016/j.autcon.2020.103179
[412] Callcut M, Cerceau Agliozzo JP, Varga L, McMillan L. Digital twins in civil infrastructure systems. Sustainability. 2021;13(20):11549. https://doi.org/10.3390/su132011549
[413] Jiang F, Ma L, Broyd T, Chen K. Digital twin and its implementations in the civil engineering sector. Automation in Construction. 2021;130:103838. https://doi.org/10.1016/j.autcon.2021.103838
[414] Camposano JC, Smolander K, Ruippo T. Seven metaphors to understand digital twins of built assets. IEEE Access. 2021;9:27167–27181. https://doi.org/10.1109/ACCESS.2021.3058009
[415] Chen L, Whyte J. Understanding design change propagation in complex engineering systems using a digital twin and design structure matrix. Engineering, Construction and Architectural Management. 2022;29(8):2950–2975. https://doi.org/10.1108/ECAM-08-2020-0615
[416] Mêda P, Calvetti D, Hjelseth E, Sousa H. Incremental digital twin conceptualisations targeting data-driven circular construction. Buildings. 2021;11(11):554. https://doi.org/10.3390/buildings11110554
[417] Chen C, Zhao Z, Xiao J, Tiong R. A conceptual framework for estimating building embodied carbon based on digital twin technology and life cycle assessment. Sustainability. 2021;13(24):13875. https://doi.org/10.3390/su132413875
[418] Cheng MY, Tsai HC, Hsieh WS. Web-based conceptual cost estimates for construction projects using evolutionary fuzzy neural inference model. Automation in Construction. 2009;18(2):164–172.
[419] Cheng MY, Tsai HC, Sudjono E. Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry. Expert Systems with Applications. 2010;37(6):4224–4231.
[420] Cheng MY, Roy AFV. Evolutionary fuzzy decision model for cash flow prediction using time-dependent support vector machines. International Journal of Project Management. 2011;29(1):56–65.
[421] Cheng MY, Hoang ND, Wu YW. Cash flow prediction for construction project using a novel adaptive time-dependent least squares support vector machine inference model. Journal of Civil Engineering and Management. 2015;21(6):679–688.
[422] Son H, Kim C, Kim C. Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables. Automation in Construction. 2012;27:60–66.
[423] Cheng MY, Hoang ND. Interval estimation of construction cost at completion using least squares support vector machine. Journal of Civil Engineering and Management. 2014;20(2):223–236.
[424] Chou JS, Lin CW, Pham AD, Shao JY. Optimized artificial intelligence models for predicting project award price. Automation in Construction. 2015;54:106–115.
[425] Wang X, Ashuri B. Forecasting construction cost index in the short-, mid-, and long-terms using k nearest neighbor and perfect random tree ensembles. Construction Management and Economics. 2017;35(6):349–364.
[426] Rafiei MH, Adeli H. Novel machine-learning model for estimating construction costs considering economic variables and indexes. Journal of Construction Engineering and Management. 2018;144(12):04018106.
[427] Juszczyk M. On the search of models for early cost estimates of bridges: An SVM-based approach. Buildings. 2020;10(1):2.
[428] Mahdavian A, Shojaei A, Salem M, Yuan JS, Oloufa AA. Data-driven predictive modeling of highway construction cost items. Journal of Construction Engineering and Management. 2021;147(3):04020180.
[429] Miranda SL, Del Rey Castillo E, Gonzalez V, Adafin J. Predictive analytics for early-stage construction costs estimation. Buildings. 2022;12(7):1043.
[430] Chao LC, Chien CF. Estimating project s-curves using polynomial function and neural networks. Journal of Construction Engineering and Management. 2009;135(3):169–177. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:3(169)
[431] Asadi A, Alsubaey M, Makatsoris C. A machine learning approach for predicting delays in construction logistics. International Journal of Advanced Logistics. 2015;4(2):115–130. https://doi.org/10.1080/2287108X.2015.1059920
[432] Yaseen ZM, Ali ZH, Salih SQ, Al-Ansari N. Prediction of risk delay in construction projects using a hybrid artificial intelligence model. Sustainability. 2020;12(4):1514. https://doi.org/10.3390/su12041514
[433] Elazouni AM. Classifying construction contractors using unsupervised-learning neural networks. Journal of Construction Engineering and Management. 2006;132(12):1242–1253. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:12(1242)
[434] Chou JS, Lin C. Predicting disputes in public-private partnership projects: Classification and ensemble models. Journal of Computing in Civil Engineering. 2013;27(1):51–60. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000197
[435] Heravi G, Eslamdoost E. Applying artificial neural networks for measuring and predicting construction-labor productivity. Journal of Construction Engineering and Management. 2015;141(10):04015032. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001006
[436] Elkington J. Cannibals with forks: The triple bottom line of 21st century business. Capstone Publishing. 1997.
[437] Baumgartner RJ, Ebner D. Corporate sustainability strategies: Sustainability profiles and maturity levels. Sustainable Development. 2010;18(2):76–89. https://doi.org/10.1002/sd.447
[438] Labuschagne C, Brent AC, van Erck RPG. Assessing the sustainability performances of industries. Journal of Cleaner Production. 2005;13(4):373–385. https://doi.org/10.1016/j.jclepro.2003.10.007
[439] Yu WD, Cheng ST, Ho WC, Chang YH. Measuring the sustainability of construction projects throughout their lifecycle: A taiwan lesson. Sustainability. 2018;10(5):1523. https://doi.org/10.3390/su10051523
[440] Labuschagne C, Brent AC. Sustainable project life cycle management: The need to integrate life cycles in the manufacturing sector. International Journal of Project Management. 2005;23(2):159–168. https://doi.org/10.1016/j.ijproman.2004.06.003
[441] Silvius AJG, Kampinga M, Paniagua S, Mooi H. Considering sustainability in project management decision making: An investigation using q-methodology. International Journal of Project Management. 2017;35(6):1133–1150. https://doi.org/10.1016/j.ijproman.2017.01.011
[442] Silvius G. Sustainability as a new school of thought in project management. Journal of Cleaner Production. 2017;166:1479–1493. https://doi.org/10.1016/j.jclepro.2017.08.121
[443] Silvius AJG, de Graaf M. Exploring the project manager’s intention to address sustainability in the project board. Journal of Cleaner Production. 2019;208:1226–1240. https://doi.org/10.1016/j.jclepro.2018.10.115
[444] Marcelino-Sádaba S, González-Jaen LF, Pérez-Ezcurdia A. Using project management as a way to sustainability. from a comprehensive review to a framework definition. Journal of Cleaner Production. 2015;99:1–16. https://doi.org/10.1016/j.jclepro.2015.03.020
[445] Martens ML, Carvalho MM. The challenge of introducing sustainability into project management function: Multiple-case studies. Journal of Cleaner Production. 2016;117:29–40. https://doi.org/10.1016/j.jclepro.2015.12.039
[446] Martens ML, Carvalho MM. Key factors of sustainability in project management context: A survey exploring the project managers’ perspective. International Journal of Project Management. 2017;35(6):1084–1102. https://doi.org/10.1016/j.ijproman.2016.04.004
[447] Uribe DF, Ortiz-Marcos I, Uruburu Á. What is going on with stakeholder theory in project management literature? A symbiotic relationship for sustainability. Sustainability. 2018;10(4):1300. https://doi.org/10.3390/su10041300
[448] Armenia S, Dangelico RM, Nonino F, Pompei A. Sustainable project management: A conceptualization-oriented review and a framework proposal for future studies. Sustainability. 2019;11(9):2664. https://doi.org/10.3390/su11092664
[449] Li TT, Wang K, Sueyoshi T, Wang DD. ESG: Research progress and future prospects. Sustainability. 2021;13(21).
[450] In SY, Rook D, Monk A. Integrating alternative data (also known as ESG data) in investment decision making. Global Economic Review. 2019;48(3):237–260.
[451] Büyüközkan G, Karabulut Y. Energy project performance evaluation with sustainability perspective. Energy. 2017;119:549–560.
[452] Ramezanzade M, Karimi H, Almutairi K, Xuan HA, Saebi J, Mostafaeipour A, et al. Implementing MCDM techniques for ranking renewable energy projects under fuzzy environment: A case study. Sustainability. 2021;13(22).
How to cite this paper
@article{1724115,
author = {Susan Ochi Makut, Adedoyin Oluwatoyin Olutimehin, Adeshola Oladunni Bankole, Francis Ojeakhena, Henry Chukwuemeka Olisakwe},
title = {Cost, Schedule, and Safety Risk Management in Offshore Oil and Gas Capital Projects: An Integrative Review of Project Controls and Engineering Decision Frameworks},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {10},
pages = {441-482},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1724115.pdf},
abstract = {Offshore oil and gas capital projects must deliver cost, schedule and safety performance together, yet the research behind each objective has developed separately. This integrative review synthesizes 415 peer-reviewed journal and conference articles published between 1984 and 2022 on cost and schedule performance, project governance and decision frameworks, safety risk management in project execution, and digital and sustainability enablers of project controls. Records were identified through publisher platforms, scholarly search and reference-list chaining and coded by domain, sector, method and cross-domain integration. The evidence base is dominated by governance and decision frameworks (168 studies) and safety risk management (138), followed by digital and sustainability enablers (78) and cost and schedule performance (31). Only 47 studies, 11.3 percent, address oil, gas or offshore projects directly, and none of the digital studies do so. Only 14 studies, 3.4 percent, connect two or more of cost, schedule and safety in a single analysis, and most of these concern the cost of accidents or the effect of production pressure on safety. The review finds consistent evidence that optimism bias, weak front-end governance and contractual misalignment drive overruns, and that schedule pressure and contractor arrangements shape safety outcomes, but little evidence on how these mechanisms interact. An integrative framework linking governance gates, a shared risk model and a common data layer is proposed, with a research agenda for offshore projects.},
keywords = {offshore capital projects; project controls; cost overrun; safety climate; leading indicators; project governance; integrative review},
month = {April},
doi = {https://doi.org/10.64388/IREV5I10-1724115}
}