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Record W3129396764 · doi:10.5267/j.msl.2021.1.015

The nexus between global disruption due to the covid-19 and performance of the construction project

2021· article· en· W3129396764 on OpenAlexvenueno aff
Samrena Jabeen, Faisal Sheraz, Syed Arslan Haider, Shahid Iqbal, Sarwat Jahan, Shehnaz Tehseen, Tajwar Hussaini

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsLocus of controlNexus (standard)PsychologyControl (management)Social psychologySocial exchange theoryCoronavirus disease 2019 (COVID-19)BusinessApplied psychologyComputer scienceManagementEconomics

Abstract

fetched live from OpenAlex

In the current COVID-19 pandemic, this paper attempts to empirically find out the increasing workplace bullying effect on project performance with employee deviant behaviour as a mediator, internal, and external locus of control as moderators. The random sampling technique was used to gather data from 777 employees, working in construction companies in Pakistan. The examination was established using WarpPLS software version 7.0. The results revealed that workplace bullying is positively associated with employee deviant behaviour which in return negatively affects the project performance. It can be inferred from the results that the “moderating role” of internal “locus of control” is insignificant; whereas the external “locus of control” significantly moderates the relationship between workplace bullying & employee deviant behaviour. The proposed research and hypotheses support social exchange theory and social behaviour exchanges. This study has clarified some unique points that are equally important for the managers, employees, and project-based construction organization as a whole. It is also recommended that once the pandemic COVID-19 passes, it would be the dire need of that time to re-evaluate that, what has been changed in terms of professional thinking, working & behaving as for as their project work and communication between the team members is concerned.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.015
GPT teacher head0.251
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

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

Citations9
Published2021
Admission routes1
Has abstractyes

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