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Open research questions in BIM and Construction Integration

87 unresolved questions extracted from the limitations and future-work sections of 815 BIM and Construction Integration papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Future work could address these issues by expanding the corpus to include cross-border collaborations worldwide, applying more rigorous prompt constraints, and equipping the model with network verification or third-party data vali- dation tools to mitigate hallucinations, enhance generalis- ability, and reduce response bias.

    Optimising LoRA for fine-tuning lightweight LLM expert agents in cross-regional collaboration in the construction industry: Evidence from the Greater Bay Area · 2026 · DOI

  • Description Define the research objectives, scope, and review protocol for the study. Conduct a comprehensive literature search using databases such as Scopus, Web of Science, ScienceDirect, IEEE Xplore, and Google Scholar. Remove duplicate records and screen titles, abstracts, and keywords based on predefined criteria. Evaluate full-text articles to determine their relevance and methodological quality. Finalize studies that satisfy all inclusion and exclusion criteria for detailed analysis. Categorize selected studies into major themes: Productivity, Quality, Safety, and Sustainability. Compare methodologies, machine learning techniques, findings, performance metrics, and limitations across studies. Identify unresolved issues, limitations, and underexplored areas in the existing literature. Develop a conceptual framework integrating key findings and relationships identified through the review. Synthesize insights, highlight contributions, and propose future research opportunities.

    Machine Learning-Driven Construction Management: Enhancing Productivity, Quality, and Sustainability · 2026 · DOI

  • Description Define the research objectives, scope, and review protocol for the study. Conduct a comprehensive literature search using databases such as Scopus, Web of Science, ScienceDirect, IEEE Xplore, and Google Scholar. Remove duplicate records and screen titles, abstracts, and keywords based on predefined criteria. Evaluate full-text articles to determine their relevance and methodological quality. Finalize studies that satisfy all inclusion and exclusion criteria for detailed analysis. Categorize selected studies into major themes: Productivity, Quality, Safety, and Sustainability. Compare methodologies, machine learning techniques, findings, performance metrics, and limitations across studies. Identify unresolved issues, limitations, and underexplored areas in the existing literature. Develop a conceptual framework integrating key findings and relationships identified through the review. Synthesize insights, highlight contributions, and propose future research opportunities.

    Machine Learning-Driven Construction Management: Enhancing Productivity, Quality, and Sustainability · 2026 · DOI

  • 22, Issue 2, 903-923 inconsistent data standards; insufficient skills and low levels of BIM maturity; schedule compression coupled with rising project complexity; inappropriate or inconsistent application of Level of Detail; organizational and cultural resistance; and the limited advancement of automation, largely attributable to inadequate and poor-quality datasets.

    Advancing Clash Resolution In Digital Construction Models: A Practice-Oriented Analytical Perspective · 2026 · DOI

  • The central finding is that BIM adoption alone is insufficient; the strongest productivity benefits occur when BIM functions as an interoperable data foundation for automated and evidence-based decision-making.

    BIM-Enabled Workflow Automation for Construction Productivity in Civil Engineering Projects: A Systematic Review of Applied Evidence · 2026 · DOI

  • Future research could address these limitations by employing a quasi-experimental or randomized controlled design in contexts where ethical and institutional conditions permit group differentiation. Although the findings demonstrated significant improvements with large effect sizes, the generalizability of the results to other institutions, disciplines, or educational levels remains to be examined.

    Enhancing BIM Modeling Ability of Undergraduate Architectural Engineering Students through the Integration of Flipped Classroom and Collaborative Learning · 2026 · DOI

  • IFC geometry support varies significantly across BIM platforms; general platforms (Autodesk Viewer, Solibri Anywhere) fail to render IfcBooleanResult geometries and small-scale fastener entities due to insufficient B-Rep kernel support and level-of-detail thresholds, requiring investigation of geometry representation strategies optimized for cross-platform compatibility.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • The prototype lacks validation against multi-user concurrency, security and access control protocols, integration of condition and inspection data streams, and lifecycle state evolution tracking, which are essential requirements for reliable deployment in production design and asset management contexts.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • Broader semantic transformations in the parametric BrIM generation framework remain unimplemented, specifically cross-frame system redesign and load-path reconfiguration; these require rule-constrained regeneration mechanisms beyond current CRUD-style operations on stiffeners, splice plates, and bolts.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • Generic language models demonstrate limited native comprehension of 3D topological relationships in bridge structures (girder–stiffener–connection plate adjacency, coordinate frames, orientation conventions); fine-tuning or adapter strategies using graph-structured representations and enriched spatial embeddings must be developed to reduce misinterpretation of placement instructions.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • Large-scale IFC context handling for detailed four-girder plate girder models (approaching 200,000 lines) exceeds practical LLM attention capacity; hierarchical indexing, component-level structured retrieval mechanisms, and summary caching strategies must be developed to maintain global coherence across iterative edits.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • The IFC-compliant BrIM editing system requires construction of a rigorous dependency graph to track and validate cascade effects of local edits (e.g., inserting stiffeners) on spacing rules, fastener patterns, and diaphragm clearances, preventing silent semantic drift and misalignments during propagated updates.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • Natural language intent grounding in IFC bridge models requires development of a controlled vocabulary and ontology mapping system to resolve ambiguous user queries that omit explicit span indices, girder identifiers, or component types, and to disambiguate synonyms (e.g., 'web stiffener' vs 'vertical stiffener') through dialog-based clarification mechanisms.

    Automated generation of IFC-compliant bridge information models from structured design data · 2026 · DOI

  • Integration of BIM and AI technologies for labor cost estimation is discussed conceptually but lacks concrete implementation frameworks, case studies, or practical guidelines.

    A Multifactorial Analysis and Predictive Modeling Approach for Labor Cost Estimation in Civil Construction Projects · 2026 · DOI

  • The paper lacks specific discussion of how AI and predictive analytics handle labor cost fluctuations in regions with volatile markets or policy changes, beyond general assertions.

    A Multifactorial Analysis and Predictive Modeling Approach for Labor Cost Estimation in Civil Construction Projects · 2026 · DOI

  • BIM's 15% accuracy improvement for labor cost estimation has only been demonstrated in large-scale projects with multiple trades; applicability to small and medium-sized projects remains unclear.

    A Multifactorial Analysis and Predictive Modeling Approach for Labor Cost Estimation in Civil Construction Projects · 2026 · DOI

  • Further research can be implemented to verify the moderating role of DT stages in the linkages of SCI, ECD, and SSCP to help construction managers improve their sustainable SCM.

    The impact of digital transformation on the construction supply chain · 2026 · DOI

  • Literature shows that workflow for real-time progress measurement in an MR environment, combining visualization of as-built and remaining as planned elements, is currently lacking.

    Mixed reality-information modeling integrated workflow and application for building construction progress monitoring · 2025 · DOI

  • Few studies have investigated the roles of AI and BIM in AEC from the perspective of sustainable buildings in assisting designers to make sustainable decisions at building and city levels.

    The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities · 2024 · DOI

  • Originality/value The novelty of this paper is classifying and unifying facility managers' tendencies regarding high-level information management issues, which are lacking in the literature, with a focus on the approaches with potential and higher impact on FM in the hospital building context and the related steps that should be considered regarding data collection and data structures.

    A discussion of digital transition impact on facility management of hospital buildings · 2023 · DOI

  • To fully benefit from prefabricated and modular construction, the application of artificial intelligence and robotics (AIR) is widely recognized as essential, but it has not yet been systematically studied.

    Artificial Intelligence and Robotics for Prefabricated and Modular Construction: A Systematic Literature Review · 2022 · DOI

  • To date, there is scarce research that identifies and documents the existing barriers to the usage of robotics, particularly within the United States construction industry, thus impeding the mainstream adoption of robotics due either to a lack of identifying such challenges or poor understanding of them.

    Identifying the Challenges to Adopting Robotics in the US Construction Industry · 2021 · DOI

  • Even though BIM is among its other advantages considered helpful in the design phase to support quality management by clash detection, there has been only little improvement of quality management in the execution phase related to BIM projects, as well as limited research in this field.

    Digital quality management in construction industry within BIM projects · 2019 · DOI

  • However, because material warehousing and deliveries are mostly performed outside construction project sites, project information from a single BIM model is insufficient in meeting the needs of construction supply chain management.

    Integrating 4D BIM and GIS for Construction Supply Chain Management · 2019 · DOI

  • Without panoramically interconnecting to other smart abilities such as an automatic action-taking ability, most existing sensing-based systems are insufficient to realize their full potential in facilitating construction LSCM.

    An SCO-Enabled Logistics and Supply Chain–Management System in Construction · 2016 · DOI

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87 open questions have been extracted from the limitations and future-work passages of 815 BIM and Construction Integration papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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