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How to cite this paper
APA: Fapohunda, O., Ajuwa, C & Samuel, O. (2027). Maintenance readiness and interface management in major oil and gas projects: A three-decade longitudinal evaluation of project delivery and operational transition. Scientometrica, 3(2), 71-88.
Chicago/Turabian: Fapohunda, O., Ajuwa, C & Samuel, O. 2027. "Maintenance readiness and interface management in major oil and gas projects: A three-decade longitudinal evaluation of project delivery and operational transition." Scientometrica 3, no. 2 (2027): 71-88.
AMA: Fapohunda, O., Ajuwa, C & Samuel, O. Maintenance readiness and interface management in major oil and gas projects: A three-decade longitudinal evaluation of project delivery and operational transition. Scientometrica. 2027;3(2):71-88.
References
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Ahn, S., Shokri, S., Lee, S. H., Haas, C. T., & Haas, R. C. G. (2017). Exploratory study on the effectiveness of interface-management practices in dealing with project complexity in large-scale engineering and construction projects. Journal of Management in Engineering, 33(2), 04016039. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000488
Al-Mazrouie, J. R., Ojiako, U., Williams, T., Chipulu, M., & Marshall, A. (2021). An operations readiness typology for mitigating against transitional ‘disastrous openings’ of airport infrastructure projects. Production Planning & Control, 32(4), 283–302. https://doi.org/10.1080/09537287.2020.1730997
Alsyouf, I., Alsuwaidi, M., Hamdan, S., & Shamsuzzaman, M. (2021). Impact of ISO 55000 on organisational performance: evidence from certified UAE firms. Total Quality Management & Business Excellence, 32(1-2), 134–152. https://doi.org/10.1080/14783363.2018.1537750
Ayres, J. R., May, I., & Brinton, M. C. (2026). The commissioning paradox: Why critical infrastructure work stays invisible until it fails. https://doi.org/10.5281/zenodo.18173009
Carydias, P., & Kennedy, R. (2025). Tackling the 65% megaproject failure epidemic: six key levers amplified by digital and AI. Australian Energy Producers Journal, 65(2), EP24270. https://doi.org/10.1071/EP24270
Chen, I. Y., Pierson, E., Rose, S., Joshi, S., Ferryman, K., & Ghassemi, M. (2021). Ethical machine learning in healthcare. Annual Review of Biomedical Data Science, 4(1), 123–144. https://doi.org/10.1146/annurev-biodatasci-092820-114757
Chime, K. C. (2024). Advancing portfolio project delivery and operation handover assurance through digitalization in the oil and gas. https://doi.org/10.2118/222654-ms
Curran, P. J., & Hussong, A. M. (2020). Integrative data analysis: The simultaneous analysis of multiple data sets. https://doi.org/10.17615/kbwt-7k77
Dacrema, M. F., Boglio, S., Cremonesi, P., & Jannach, D. (2021). A troubling analysis of reproducibility and progress in recommender systems research. https://doi.org/10.1145/3434185
Dahlen, A., Deng, Y., & Charu, V. (2025). Evaluating the generalizability of commercial healthcare claims data. https://doi.org/10.1093/aje/kwaf142
Doslu, M., & Bingol, H. O. (2016). Context sensitive article ranking with citation context analysis. https://doi.org/10.1007/s11192-016-1982-6
Driessen, M., Arts, J., Houtum, G. van, Rustenburg, J. W., & Huisman, B. (2014). Maintenance spare parts planning and control: a framework for control and agenda for future research. https://doi.org/10.1080/09537287.2014.907586
Fang, C., Marle, F., Zio, E., & Bocquet, J. (2012). Network theory-based analysis of risk interactions in large engineering projects. https://doi.org/10.1016/j.ress.2012.04.005
Fargie, D., Walker, K., Poore, W., Norton, S., Husain, I., Decarli, L., & Clover, C. (2024). Insights and learning from IOGP global upstream process safety event data. https://doi.org/10.2118/220324-ms
Godager, B., Mohn, K., Merschbrock, C., Klakegg, O. J., & Huang, L. (2022). Towards an improved framework for enterprise BIM: the role of ISO 19650. Journal of Information Technology in Construction, 27, 863–882. https://doi.org/10.36680/j.itcon.2022.053
Heim, E., Wright, O., & Shriver, D. (2025). A guide to failure in machine learning: Reliability and robustness from foundations to practice. https://doi.org/10.48550/arxiv.2503.00563
Jaskula, K., Papadonikolaki, E., & Rovas, D. (2022). Conceptual framework for decentralised information management along the entire lifecycle of a built asset. Proceedings of the 2022 European Conference on Computing in Construction, 1–8. https://doi.org/10.35490/ec3.2022.168
Kim, M.-H., Lee, E., & Choi, H.-S. (2018). Detail engineering completion rating index system (DECRIS) for optimal initiation of construction works to improve contractors’ schedule-cost performance for offshore oil and gas EPC projects. Sustainability, 10(7), 2469. https://doi.org/10.3390/su10072469
Kim, S. J., Poirier, É., & Staub-French, S. (2020). Information commissioning: bridging the gap between digital and physical built assets. Journal of Facilities Management, 18(5), 451–471. https://doi.org/10.1108/jfm-04-2020-0024
Merrow, E. W. (2012). Oil and gas industry megaprojects: Our recent track record. Journal of Petroleum Technology, 64(9), 44–47. https://doi.org/10.2118/153695-pa
Naqbi, S. A., Shokri, S., & Maloney, K. (2016). Asset interface management system. https://doi.org/10.2118/183127-ms
Natarajan, A. (2022). Reference class forecasting and machine learning for improved offshore oil and gas megaproject planning: Methods and application. Project Management Journal, 53(1), 59–75. https://doi.org/10.1177/87569728211045889
Nossair, A., Tamimi, A. A., Amri, A. A., Katheeri, K. A., Hann, T., & Finigan, T. (2012). Mega projects integrated readiness assurance process. https://doi.org/10.2118/159116-ms
Odili, P. O., Daudu, C. D., Adefemi, A., Ekemezie, I. O., & Usiagu, G. S. (2024). Operational readiness and assurance (OR&A) in asset integrity: Strategies for excellence in facility management. Engineering Science & Technology Journal, 5(2), 834–850. https://doi.org/10.51594/estj.v5i2.834
Olaniran, O. J., Love, P. E. D., Edwards, D. J., Olatunji, O. A., & Matthews, J. (2015). Cost overruns in hydrocarbon megaprojects: A critical review and implications for research. Project Management Journal, 46(6), 105–121. https://doi.org/10.1002/pmj.21556
Østebø, R., Selvik, J. T., Naegeli, G. S., & Ciliberti, T. (2018). ISO standards to enable reliable, safe and cost-effective technology development, project execution and operational excellence. https://doi.org/10.4043/28705-ms
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T., Mulrow, C. D., Shamseer, L., Tetzlaff, J., Akl, E. A., Brennan, S., Chou, R., Glanville, J., Grimshaw, J., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pais, E., Raposo, H., Meireles, A. J. de A., & Farinha, J. T. (2019). ISO 55001 – A strategic tool for the circular economy – Diagnosis of the organization's state. International Journal of Industrial Engineering and Management, 10(1), 1–14. https://doi.org/10.13052/jiems2446-1822.2018.005
Parraguez, P., Eppinger, S. D., & Maier, A. (2016). Characterizing design process interfaces as organization networks: Insights for engineering systems management. Systems Engineering, 19(4), 327–342. https://doi.org/10.1002/sys.21345
Paton, S., & Andrew, B. (2018). The role of the Project Management Office (PMO) in product lifecycle management: A case study in the defence industry. International Journal of Production Economics, 208, 43–52. https://doi.org/10.1016/j.ijpe.2018.11.002
Pérez, J., Díaz, J., Garcia-Martin, J., & Tabuenca, B. (2020). Systematic literature reviews in software engineering - enhancement of the study selection process using Cohen’s Kappa statistic. Journal of Systems and Software, 168, 110657. https://doi.org/10.1016/j.jss.2020.110657
Pieterse, B., Agyekum, K., Manu, P., Mohandes, S. R., Cheung, C., & Yunusa-Kaltungo, A. (2022). Examining critical project management skills for successful delivery of major maintenance projects: insights from the United Kingdom energy sector. Engineering, Construction and Architectural Management, 30(7), 2882–2905. https://doi.org/10.1108/ecam-07-2022-0658
Polenghi, A., Roda, I., Macchi, M., & Pozzetti, A. (2021). A methodology to boost data-driven decision-making process for a modern maintenance practice. Production Planning & Control, 33(6-7), 559–576. https://doi.org/10.1080/09537287.2021.2010823
Prudnikov, V. A. (2020). Modern development prospects of programs in engineering education inside national university that use information and communication technologies. International Journal of Engineering Pedagogy, 10(3), 46–61. https://doi.org/10.3991/ijep.v10i3.12619
Rachman, A., & Ratnayake, R. M. C. (2019). Machine learning approach for risk-based inspection screening assessment. Reliability Engineering & System Safety, 185, 518–532. https://doi.org/10.1016/j.ress.2019.02.008
Rashdan, A. A., Browning, J. M., & Ritter, C. (2019). Data Integration Aggregated Model and Ontology for Nuclear Deployment (DIAMOND): Preliminary Model and Ontology. https://doi.org/10.2172/2439922
Section, A., Fadzil, M. M., Asshaari, I., Shaharugi, M. C. A., Samad, A. G. A., & Wardiah, P. N. S. (2023). An exploratory study on causes and effects of miscommunication error among maintenance crew. Jurnal Kejuruteraan, 35(6), 1421–1430. https://doi.org/10.17576/jkukm-2023-si6(2)-13
Sharam, A., McNelis, S., Cho, H., Logan, C., Burke, T., & Rossini, P. (2021). Towards an Australian social housing best practice asset management framework. Australian Housing and Urban Research Institute. https://doi.org/10.18408/ahuri5324001
Shokri, S. (2014). Interface Management for Complex Capital Projects [Doctoral dissertation, University of Water-loo]. http://hdl.handle.net/10012/8463
Shokri, S., Ahn, S., Lee, S. H., Haas, C. T., & Haas, R. C. G. (2015). Current status of interface management in construction: Drivers and effects of systematic interface management. Journal of Construction Engineering and Management, 141(2), 04014068. https://doi.org/10.1061/(asce)co.1943-7862.0001035
Shokri, S., Safa, M., Haas, C. T., Haas, R. C. G., Maloney, K., & MacGillivray, S. (2012). Interface Management Model for Mega Capital Projects. Construction Research Congress 2012, 447–456. https://doi.org/10.1061/9780784412329.045
Silva, R. F. da, & Souza, G. F. M. de. (2020). Asset management system (ISO 55001) and Total Productive Maintenance (TPM): a discussion of interfaces for maintenance management. GEPROS: Gestão da Produção, Operações e Sistemas, 15(2), 78–102. https://doi.org/10.15675/gepros.v15i2.2528
Thanassoulis, E. (2000). The use of data envelopment analysis in the regulation of UK water utilities: Water distribution. European Journal of Operational Research, 126(2), 436–453. https://doi.org/10.1016/s0377-2217(99)00303-3
Utgard, M., Thomas, H., Singh, A., & Narozny, J. (2013). The Atomic Model approach to operational assurance. The APPEA Journal, 53(2), 363–370. https://doi.org/10.1071/aj12060
Zaman, U., Flórez, L., Anjam, M., Khwaja, M. G., & Ul-Huda, N. (2022). At the end of the world, turn left: examining toxic leadership, team silence and success in mega construction projects. Engineering, Construction and Architectural Management, 30(8), 3337–3358. https://doi.org/10.1108/ecam-08-2021-0755
Zhu, L., Shan, M., & Xu, Z. (2019). Critical review of building handover-related research in construction and facility management journals. Engineering, Construction and Architectural Management, 26(7), 1241–1262. https://doi.org/10.1108/ecam-10-2018-0442
Ahn, S., Shokri, S., Lee, S. H., Haas, C. T., & Haas, R. C. G. (2017). Exploratory study on the effectiveness of interface-management practices in dealing with project complexity in large-scale engineering and construction projects. Journal of Management in Engineering, 33(2), 04016039. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000488
Al-Mazrouie, J. R., Ojiako, U., Williams, T., Chipulu, M., & Marshall, A. (2021). An operations readiness typology for mitigating against transitional ‘disastrous openings’ of airport infrastructure projects. Production Planning & Control, 32(4), 283–302. https://doi.org/10.1080/09537287.2020.1730997
Alsyouf, I., Alsuwaidi, M., Hamdan, S., & Shamsuzzaman, M. (2021). Impact of ISO 55000 on organisational performance: evidence from certified UAE firms. Total Quality Management & Business Excellence, 32(1-2), 134–152. https://doi.org/10.1080/14783363.2018.1537750
Ayres, J. R., May, I., & Brinton, M. C. (2026). The commissioning paradox: Why critical infrastructure work stays invisible until it fails. https://doi.org/10.5281/zenodo.18173009
Carydias, P., & Kennedy, R. (2025). Tackling the 65% megaproject failure epidemic: six key levers amplified by digital and AI. Australian Energy Producers Journal, 65(2), EP24270. https://doi.org/10.1071/EP24270
Chen, I. Y., Pierson, E., Rose, S., Joshi, S., Ferryman, K., & Ghassemi, M. (2021). Ethical machine learning in healthcare. Annual Review of Biomedical Data Science, 4(1), 123–144. https://doi.org/10.1146/annurev-biodatasci-092820-114757
Chime, K. C. (2024). Advancing portfolio project delivery and operation handover assurance through digitalization in the oil and gas. https://doi.org/10.2118/222654-ms
Curran, P. J., & Hussong, A. M. (2020). Integrative data analysis: The simultaneous analysis of multiple data sets. https://doi.org/10.17615/kbwt-7k77
Dacrema, M. F., Boglio, S., Cremonesi, P., & Jannach, D. (2021). A troubling analysis of reproducibility and progress in recommender systems research. https://doi.org/10.1145/3434185
Dahlen, A., Deng, Y., & Charu, V. (2025). Evaluating the generalizability of commercial healthcare claims data. https://doi.org/10.1093/aje/kwaf142
Doslu, M., & Bingol, H. O. (2016). Context sensitive article ranking with citation context analysis. https://doi.org/10.1007/s11192-016-1982-6
Driessen, M., Arts, J., Houtum, G. van, Rustenburg, J. W., & Huisman, B. (2014). Maintenance spare parts planning and control: a framework for control and agenda for future research. https://doi.org/10.1080/09537287.2014.907586
Fang, C., Marle, F., Zio, E., & Bocquet, J. (2012). Network theory-based analysis of risk interactions in large engineering projects. https://doi.org/10.1016/j.ress.2012.04.005
Fargie, D., Walker, K., Poore, W., Norton, S., Husain, I., Decarli, L., & Clover, C. (2024). Insights and learning from IOGP global upstream process safety event data. https://doi.org/10.2118/220324-ms
Godager, B., Mohn, K., Merschbrock, C., Klakegg, O. J., & Huang, L. (2022). Towards an improved framework for enterprise BIM: the role of ISO 19650. Journal of Information Technology in Construction, 27, 863–882. https://doi.org/10.36680/j.itcon.2022.053
Heim, E., Wright, O., & Shriver, D. (2025). A guide to failure in machine learning: Reliability and robustness from foundations to practice. https://doi.org/10.48550/arxiv.2503.00563
Jaskula, K., Papadonikolaki, E., & Rovas, D. (2022). Conceptual framework for decentralised information management along the entire lifecycle of a built asset. Proceedings of the 2022 European Conference on Computing in Construction, 1–8. https://doi.org/10.35490/ec3.2022.168
Kim, M.-H., Lee, E., & Choi, H.-S. (2018). Detail engineering completion rating index system (DECRIS) for optimal initiation of construction works to improve contractors’ schedule-cost performance for offshore oil and gas EPC projects. Sustainability, 10(7), 2469. https://doi.org/10.3390/su10072469
Kim, S. J., Poirier, É., & Staub-French, S. (2020). Information commissioning: bridging the gap between digital and physical built assets. Journal of Facilities Management, 18(5), 451–471. https://doi.org/10.1108/jfm-04-2020-0024
Merrow, E. W. (2012). Oil and gas industry megaprojects: Our recent track record. Journal of Petroleum Technology, 64(9), 44–47. https://doi.org/10.2118/153695-pa
Naqbi, S. A., Shokri, S., & Maloney, K. (2016). Asset interface management system. https://doi.org/10.2118/183127-ms
Natarajan, A. (2022). Reference class forecasting and machine learning for improved offshore oil and gas megaproject planning: Methods and application. Project Management Journal, 53(1), 59–75. https://doi.org/10.1177/87569728211045889
Nossair, A., Tamimi, A. A., Amri, A. A., Katheeri, K. A., Hann, T., & Finigan, T. (2012). Mega projects integrated readiness assurance process. https://doi.org/10.2118/159116-ms
Odili, P. O., Daudu, C. D., Adefemi, A., Ekemezie, I. O., & Usiagu, G. S. (2024). Operational readiness and assurance (OR&A) in asset integrity: Strategies for excellence in facility management. Engineering Science & Technology Journal, 5(2), 834–850. https://doi.org/10.51594/estj.v5i2.834
Olaniran, O. J., Love, P. E. D., Edwards, D. J., Olatunji, O. A., & Matthews, J. (2015). Cost overruns in hydrocarbon megaprojects: A critical review and implications for research. Project Management Journal, 46(6), 105–121. https://doi.org/10.1002/pmj.21556
Østebø, R., Selvik, J. T., Naegeli, G. S., & Ciliberti, T. (2018). ISO standards to enable reliable, safe and cost-effective technology development, project execution and operational excellence. https://doi.org/10.4043/28705-ms
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T., Mulrow, C. D., Shamseer, L., Tetzlaff, J., Akl, E. A., Brennan, S., Chou, R., Glanville, J., Grimshaw, J., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pais, E., Raposo, H., Meireles, A. J. de A., & Farinha, J. T. (2019). ISO 55001 – A strategic tool for the circular economy – Diagnosis of the organization's state. International Journal of Industrial Engineering and Management, 10(1), 1–14. https://doi.org/10.13052/jiems2446-1822.2018.005
Parraguez, P., Eppinger, S. D., & Maier, A. (2016). Characterizing design process interfaces as organization networks: Insights for engineering systems management. Systems Engineering, 19(4), 327–342. https://doi.org/10.1002/sys.21345
Paton, S., & Andrew, B. (2018). The role of the Project Management Office (PMO) in product lifecycle management: A case study in the defence industry. International Journal of Production Economics, 208, 43–52. https://doi.org/10.1016/j.ijpe.2018.11.002
Pérez, J., Díaz, J., Garcia-Martin, J., & Tabuenca, B. (2020). Systematic literature reviews in software engineering - enhancement of the study selection process using Cohen’s Kappa statistic. Journal of Systems and Software, 168, 110657. https://doi.org/10.1016/j.jss.2020.110657
Pieterse, B., Agyekum, K., Manu, P., Mohandes, S. R., Cheung, C., & Yunusa-Kaltungo, A. (2022). Examining critical project management skills for successful delivery of major maintenance projects: insights from the United Kingdom energy sector. Engineering, Construction and Architectural Management, 30(7), 2882–2905. https://doi.org/10.1108/ecam-07-2022-0658
Polenghi, A., Roda, I., Macchi, M., & Pozzetti, A. (2021). A methodology to boost data-driven decision-making process for a modern maintenance practice. Production Planning & Control, 33(6-7), 559–576. https://doi.org/10.1080/09537287.2021.2010823
Prudnikov, V. A. (2020). Modern development prospects of programs in engineering education inside national university that use information and communication technologies. International Journal of Engineering Pedagogy, 10(3), 46–61. https://doi.org/10.3991/ijep.v10i3.12619
Rachman, A., & Ratnayake, R. M. C. (2019). Machine learning approach for risk-based inspection screening assessment. Reliability Engineering & System Safety, 185, 518–532. https://doi.org/10.1016/j.ress.2019.02.008
Rashdan, A. A., Browning, J. M., & Ritter, C. (2019). Data Integration Aggregated Model and Ontology for Nuclear Deployment (DIAMOND): Preliminary Model and Ontology. https://doi.org/10.2172/2439922
Section, A., Fadzil, M. M., Asshaari, I., Shaharugi, M. C. A., Samad, A. G. A., & Wardiah, P. N. S. (2023). An exploratory study on causes and effects of miscommunication error among maintenance crew. Jurnal Kejuruteraan, 35(6), 1421–1430. https://doi.org/10.17576/jkukm-2023-si6(2)-13
Sharam, A., McNelis, S., Cho, H., Logan, C., Burke, T., & Rossini, P. (2021). Towards an Australian social housing best practice asset management framework. Australian Housing and Urban Research Institute. https://doi.org/10.18408/ahuri5324001
Shokri, S. (2014). Interface Management for Complex Capital Projects [Doctoral dissertation, University of Water-loo]. http://hdl.handle.net/10012/8463
Shokri, S., Ahn, S., Lee, S. H., Haas, C. T., & Haas, R. C. G. (2015). Current status of interface management in construction: Drivers and effects of systematic interface management. Journal of Construction Engineering and Management, 141(2), 04014068. https://doi.org/10.1061/(asce)co.1943-7862.0001035
Shokri, S., Safa, M., Haas, C. T., Haas, R. C. G., Maloney, K., & MacGillivray, S. (2012). Interface Management Model for Mega Capital Projects. Construction Research Congress 2012, 447–456. https://doi.org/10.1061/9780784412329.045
Silva, R. F. da, & Souza, G. F. M. de. (2020). Asset management system (ISO 55001) and Total Productive Maintenance (TPM): a discussion of interfaces for maintenance management. GEPROS: Gestão da Produção, Operações e Sistemas, 15(2), 78–102. https://doi.org/10.15675/gepros.v15i2.2528
Thanassoulis, E. (2000). The use of data envelopment analysis in the regulation of UK water utilities: Water distribution. European Journal of Operational Research, 126(2), 436–453. https://doi.org/10.1016/s0377-2217(99)00303-3
Utgard, M., Thomas, H., Singh, A., & Narozny, J. (2013). The Atomic Model approach to operational assurance. The APPEA Journal, 53(2), 363–370. https://doi.org/10.1071/aj12060
Zaman, U., Flórez, L., Anjam, M., Khwaja, M. G., & Ul-Huda, N. (2022). At the end of the world, turn left: examining toxic leadership, team silence and success in mega construction projects. Engineering, Construction and Architectural Management, 30(8), 3337–3358. https://doi.org/10.1108/ecam-08-2021-0755
Zhu, L., Shan, M., & Xu, Z. (2019). Critical review of building handover-related research in construction and facility management journals. Engineering, Construction and Architectural Management, 26(7), 1241–1262. https://doi.org/10.1108/ecam-10-2018-0442