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Risks in Chinese Construction Market—Contractors’ Perspective

2004· article· en· W1987479515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Construction Engineering and Management · 2004
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversity of British Columbia
FundersTsinghua University
KeywordsChinaBusinessCronbach's alphaGovernment (linguistics)UnanimityAccessionIndex (typography)Industrial organizationMarketingInternational tradePolitical science

Abstract

fetched live from OpenAlex

With China’s entry into the World Trade Organization (WTO), the Chinese construction market will be increasingly open and finally become part of the international market. Because of different social and economic systems, as well as different historical and cultural backgrounds, contractors are likely to encounter different risks in different markets. Based on questionnaires and case studies, this paper adopts an importance evaluation index and makes an importance evaluation of various risks encountered by Chinese contractors when contracting for projects in Chinese markets. This paper also makes comparisons between and analyses of the research findings and related available investigation results. The Cox–Stuart trend increase test method is applied in the current research, the results indicating that the variance corresponding to the importance index value tends to increase as the risk event importance decreases. This tendency shows that those investigated tend towards unanimity in terms of higher importance risk events. This paper also examines the reliability of the questionnaires by means of Cronbach’s Alpha Coefficient. The research shows that the main risk currently encountered by Chinese contractors in domestic markets includes owner’s irregular behavior and government departments’ interference in construction markets. China’s accession to the WTO has provided greater opportunities for international contractors to enter the Chinese construction market. Therefore the research results described in this paper can provide valuable data enabling international contractors to gain a better understanding of the potential risks in the environment of the Chinese construction market.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.319
Teacher spread0.294 · 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