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Record W4296351251 · doi:10.1108/ecam-01-2022-0009

The concept of integration in an IPD context: a grounded theory review

2022· article· en· W4296351251 on OpenAlexaff
Sara Rankohi, Mario Bourgault, Ivanka Iordanova

Bibliographic record

VenueEngineering Construction & Architectural Management · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsÉcole de Technologie SupérieurePolytechnique Montréal
Fundersnot available
KeywordsContext (archaeology)OriginalityConstruct (python library)Grounded theoryConceptual blendingDimension (graph theory)Computer scienceConceptual frameworkProcess managementKnowledge managementManagement scienceEngineeringQualitative researchPsychologySociologyCognition

Abstract

fetched live from OpenAlex

Purpose Recent construction literature has been focusing more on integrative contracting approaches such as integrated project delivery (IPD). However, conceptual studies on integration in IPD literature are scattered and fragmented, that is, most of the studies only focused on the segmented dimension of integration. A systemic understanding of the concepts of integration in IPD project-based context is still lacking. To fill this gap, this paper analyzes two aspects of integration (dimensions and directions) in IPD literature and explores their extent in construction projects. Design/methodology/approach Grounded theory review and focus group discussion approaches were employed to perform a thorough conceptual review of the literature, frame the research into the theory and increase the fundamental understanding of the concept of integration in IPD literature. Findings In this study, IPD integrating techniques were identified and their integration dimensions and directions were discussed. Results show that integration in the project-based environment of IPD is a multidimensional construct. Based on organizational, contractual and operational characteristics of IPD projects, twenty-four integration mechanisms were identified and framed into seven clusters. The integration directions over project life-cycle were demonstrated in three contexts: (1) an on-site construction project, delivered traditionally, (2) an on-site construction project, delivered with IPD and (3) an off-site construction project, delivered with IPD. Originality/value This paper gathers the segments of integration into a comprehensive overview, which can help researchers and practitioners explore elements of IPD project success more precisely. A theoretical framework of integration clusters is developed, based on IPD literature. The impact of IPD on on-site versus off-site construction is illustrated from an integration direction perspective. Finally, future areas of studies for researchers and practitioners about the concept of integration in an IPD context are discussed. This paper provides a point of departure for future theoretical and empirical explorations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.032
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0160.016
Science and technology studies0.0040.013
Scholarly communication0.0110.011
Open science0.0040.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.303
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2022
Admission routes1
Has abstractyes

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