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Record W2078738099 · doi:10.1108/13664381211211064

Major causes of problems between contractors and subcontractors in the Gaza Strip

2012· article· en· W2078738099 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 Financial Management of Property and Construction · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsViewpointsPaymentGaza stripTest (biology)ScheduleConstruction industryQuality (philosophy)Work (physics)Operations managementConstruction contractBusinessQuestionnaireReliability (semiconductor)EngineeringMarketingContract managementFinanceConstruction engineeringManagementEconomicsPalestineMathematics

Abstract

fetched live from OpenAlex

Purpose Subcontractors play a significant role in the Palestinian construction industry as about 90 per cent of the work is performed by subcontractors. The main objective of this paper is to identify and analyse the major problems which exist between the contractors and subcontractors in the construction industry in the Gaza Strip. Design/methodology/approach A questionnaire was designed to elicit contractors' and subcontractors' viewpoints regarding the most important causes of problems that affect the relationship between them. A total of 53 problems were identified based on a literature review, a pilot study was considered in this study and was listed under five groups. A total of 150 questionnaires were randomly sent to contractors and subcontractors. The respondents had extensive experience in the construction industry with average working experience of 20 years. The questionnaire was validated by the criterion‐related reliability test that measures the correlation coefficients between the factors selected for in each group and for all groups as one entity, and structure validity test (Spearman test). Findings The result of the survey indicated that, assigning part of the works to new subcontractor without informing the original subcontractor, contractor's financial problems, delay in contract progress payments, non‐adherence to the conditions of the contract, non‐adherence of the subcontractor to the time schedule, and lack of construction quality work were the most important causes of interface problems, while involvement in several projects with the contractor at the same time, weather conditions, and geological problems on site were considered as trivial causes of potential interface problems. Spearman's rank correlation tests showed that there are no differences in the viewpoints between contractors and subcontractors. Originality/value The research findings might assist practitioners to focus on major problems which have existed between the contractors and subcontractors in the construction industry in their present and future projects. By eliminating or minimizing these problems, subcontractors are encouraged to contribute significantly to the capital risk, resources, managerial effort, and business expertise supporting the largest industry in Palestine. The paper would be valuable for all academics and industry professionals involved in construction business in general.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.070
GPT teacher head0.306
Teacher spread0.236 · 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