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Record W4229074701 · doi:10.1002/sd.2327

Renewable energy project success: Internal versus external stakeholders' satisfaction and influences of power‐interest matrix

2022· article· en· W4229074701 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

VenueSustainable Development · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsSnowball samplingStakeholderRenewable energyEnvironmental economicsBusinessStructural equation modelingStakeholder analysisCorporate governanceEnvironmental resource managementMarketingPublic relationsEconomicsComputer scienceFinanceEngineeringPolitical science

Abstract

fetched live from OpenAlex

Abstract Stakeholders satisfaction, as well as an effective involvement, is of utmost importance for any mega project, when it comes to the public concerning projects this role becomes more essential. In the case of developing countries where the political, economic and administrative settings are challenging, managing all the key stakeholders satisfaction for prosperous projects becomes extremely intricated, no matter even it is about sustainable and renewable energy projects. Studies have been conducted on project governance and shareholder relationships, nevertheless, the role of power‐interest matrix in maximizing stakeholder satisfaction on renewable energy projects has not been fully explored in the literature. This research was attempted to investigate the direct and indirect influencing mechanisms of the stakeholders satisfaction in conjunction with five critical success factors (CSFs) (namely communication factors, team factors, technical factors, organizational factors and environmental factors) in the renewable energy projects. Alongside a direct link of the CSFs in renewable energy projects, an indirect influence of both the internal and external stakeholders satisfaction has been also checked in this research. A quantitative approach was used to collect the questionnaire survey based data from the professionals working in the renewable energy industry of Pakistan. A snowball sampling technique was used to collect a total of 565 valid responses from the professionals working on medium and large scale renewable energy projects. The structural equation modelling (SEM) technique was used to perform the data analysis and provide inferences between the direct impacts of CSFs and indirect influences of internal and external stakeholders satisfaction in the renewable energy projects. The first stage of the SEM analysis depicts the direct impacts of the CSFs on renewable energy projects. However, in the second stage, though the mediating role of internal stakeholders satisfaction was observed in between all the CSFs and project success, external stakeholders satisfaction was found to be significantly mediating only between the communication factors and environmental factors, and renewable energy project success. Though the findings provide useful guidelines for the professionals, policymakers and administrators that in order to have prosperous renewable energy projects the influence of both the internal and external stakeholders satisfaction is important alongside CSFs, however, the role of internal stakeholders satisfaction is more critical to consider for such sustainable projects.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.344
Teacher spread0.256 · 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