Evaluation of Success of Superhydrophobic Coatings in the Oil and Gas Construction Industry Using Structural Equation Modeling

Abstract

In the oil and gas construction industry, the adoption of superhydrophobic coatings is still in the early adoption phase. Due to the lack of research and the importance of hydrophobic coatings in the oil and gas construction business, this study examined the success determinants of superhydrophobic coatings in Malaysia. This quantitative study included a pilot survey to assess questionnaire validity and Exploratory Factor Analysis (EFA) to reduce success variables discovered through a literature review. A structural equation modeling (SEM) approach was used to develop a model involving success factors of superhydrophobic coatings in the oil and gas construction industry of Malaysia. Four constructs in total were found in SEM, namely, performance success, sustainability construct, oil spill management, and safety and economic success. In total, five items were excluded from the model because their loading factors were less than 0.6. All Cronbach Alpha reliability constants were greater than 0.7, the composite reliability indicators were greater than 0.8, and the AVE was greater than 0.6 for all of the constructs, confirming acceptable reliability and validity statistics. Both convergent and discriminant validity confirmed the relationships between all constructs and the latent variable. The observed path coefficients between the constructs and the latent variable were 0.476 for performance success, 0.461 for sustainability success, 0.322 for oil spill management, and 0.242 for safety and economic success. The significance value for all of the constructs was less than 0.05, confirming the strong relationship between the constructs and the critical success of superhydrophobic coatings in the oil and gas industry.

Analyzing the Success of Adopting Metaverse in Construction Industry: Structural Equation Modelling

“…Tis facilitates the comprehension and evaluation of design decisions, the identifcation of design defects or conficts, and iterative design processes. Te ability to visualize designs within the metaverse increases stakeholder engagement, enhances design coordination, and decreases the likelihood of costly design errors during construction [25,44].…”

“…Te SEM technique permits thorough model validation, which ensures that our conclusions are founded on good statistical analysis and provides a high degree of confdence in the reliability and validity of our results. In other words, our fndings can be trusted to be accurate and reliable [16,22,25]. Taking into account measurement error, structural equation modelling (SEM) enables the integration of measurement error into the analysis, which improves the quality of our evaluations and provides a more exact picture of the connections between latent components.…”

“…Tis method maximizes the squared loading variance within each factor, making the factors more distinct and interpretable. Tese elements served as initial factors in EFA, resulting in the formation of three distinct constructs [22,25].…”

“…Te metaverse can be a centralized document-sharing platform where stakeholders can access and collaborate on project-related fles. Tis ensures that everyone has access to the most recent document versions, prevents confusion caused by multiple copies, and streamlines team communication [22,25] constructs. Items with loadings equal to or greater than this threshold are regarded as reliable indicators of the fundamental factors.…”

“…While the adoption of metaverse technology is a global phenomenon, its implementation may vary across regions due to cultural, economic, and regulatory factors that are unique to each locale. Existing literature tends to be dominated by studies from established nations, leaving a research void regarding the unique challenges and opportunities encountered by developing regions like Bangladesh [7,22,25]. By examining the Bangladeshi AEC sector, our research aims to bridge this divide by providing insights that can inform strategies for successful metaverse integration in similar contexts.…”