Analysis of the Perceptions of Beneficiaries and Intermediaries on Implementing IPD in Indian Construction
Bibliographic record
Abstract
Analysis of the Perceptions of Beneficiaries and Intermediaries on Implementing IPD in Indian Construction V. Paul C. Charlesraj and Vatsala Gupta Pages 937-944 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: Selection of appropriate project delivery system is key for project success. It also gains much importance in a fast developing economy like India where there is a greater emphasis on development of housing and infrastructure involving huge investments. The present practices of project delivery led to inefficiency and distrust among the employer, consultant, contractor, and suppliers. Integrated Project Delivery (IPD) is a project delivery approach that integrates people, systems, business structures and practices into a process that collaboratively contributes to optimise the project results. However, the adoption of IPD in Indian construction is in its formative stage due to the challenges that are faced by various stakeholders. The objective of this study is to analyse the perceptions of the beneficiaries and intermediaries in the construction sector, on these challenges. An exploratory study has been conducted among various beneficiaries and intermediaries of construction sector in India using a questionnaire survey to gain insight into the perceived challenges. It has been observed that the intermediaries and beneficiaries differ in their perceived challenges, which is also found to be significant in legal issues. An in-depth analysis also revealed that the stakeholders perceived the following challenges significantly different: Employer's unwillingness to share consultant in the profits of the project (Finance), Resistant to change (Culture), Disengagement agreement of the parties to implement the project on time (Legal), and Unfamiliarity with BIM (Technical). Keywords: Indian construction; Integrated Project Delivery; intermediaries DOI: https://doi.org/10.22260/ISARC2019/0125 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".