How do data, project management maturity, and PMO support shape resilient oil and gas projects? Article Swipe
Arief Prasetyo
,
Idris Gautama So
,
Hardijanto Saroso
,
Firdaus Alamsjah
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5267/j.jpm.2025.4.004
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5267/j.jpm.2025.4.004
The global disruption of 2020-2022 forced organizations to reassess their resilience strategies, with executives agreeing to prioritize project management, data analytics, and problem-solving among the top 10 skills for their workforce. In this context, the role of the Project Management Office (PMO) in building resilience and achieving project success has been critically examined. While PMOs are assumed to enhance governance and structured guidance, it remains unclear whether their presence significantly influences resilience-building during disruptions. This study investigates this issue by conducting multi-group analysis (MGA) using data from 170 practicing project managers worldwide who navigated the global disruption. The study examines how Data Analytics Capability (DACP) and Project Management Maturity (PMMM) impact Project Resilience (PRES) and Project Success (PSUC), employing Partial Least Squares Structural Equation Modeling (PLS-SEM) for empirical validation. Results indicate that both DACP and PMMM significantly enhance resilience, with DACP demonstrating a comparatively stronger effect. Project resilience, in turn, has a robust positive impact on project success, highlighting its strategic value beyond mere survival. Notably, while multi-group analysis shows no statistically significant differences between PMO-supported and non-PMO-supported projects, this does not undermine the importance of PMMM and PMO support. Instead, it reinforces that structured governance and maturity practices are considered baseline expectations in high-reliability industries, rather than distinct differentiators of project resilience.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5267/j.jpm.2025.4.004
- https://doi.org/10.5267/j.jpm.2025.4.004
- OA Status
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- Cited By
- 2
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410872135Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5267/j.jpm.2025.4.004Digital Object Identifier
- Title
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How do data, project management maturity, and PMO support shape resilient oil and gas projects?Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Arief Prasetyo, Idris Gautama So, Hardijanto Saroso, Firdaus AlamsjahList of authors in order
- Landing page
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https://doi.org/10.5267/j.jpm.2025.4.004Publisher landing page
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https://doi.org/10.5267/j.jpm.2025.4.004Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.5267/j.jpm.2025.4.004Direct OA link when available
- Concepts
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Maturity (psychological), Petroleum engineering, Business, Environmental resource management, Engineering, Process management, Environmental science, Political science, LawTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.expectations | 202 |
| abstract_inverted_index.highlighting | 158 |
| abstract_inverted_index.investigates | 76 |
| abstract_inverted_index.PMO-supported | 175 |
| abstract_inverted_index.comparatively | 143 |
| abstract_inverted_index.demonstrating | 141 |
| abstract_inverted_index.organizations | 6 |
| abstract_inverted_index.significantly | 69, 136 |
| abstract_inverted_index.statistically | 171 |
| abstract_inverted_index.differentiators | 209 |
| abstract_inverted_index.problem-solving | 22 |
| abstract_inverted_index.high-reliability | 204 |
| abstract_inverted_index.non-PMO-supported | 177 |
| abstract_inverted_index.resilience-building | 71 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.92404771 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |