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Comparing the power and influence of functional managers with that of project managers in matrix organisations: The challenge in duality of command

2016· article· en· W2297660452 on OpenAlexaboutno aff
Dylon Moodley, Margie Sutherland, Pieter Preterms

Bibliographic record

VenueSouth African Journal of Economic and Management Sciences · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFunctional managerProject managerBusinessAmbiguityPerceptionPhase (matter)Public relationsProject managementProject sponsorshipKnowledge managementMarketingProcess managementProject management trianglePsychologyManagementProject charterPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Since its inception four decades ago, there has been widespread adoption of the matrix organisational design, particularly in project-based organisations. However, several challenges remain, one of which is related to the ambiguity of authority as a result of the dual command structure. This study examines the perceptions of the types of power and influence mechanisms used by the functional manager and the project manager to influence project personnel, and the effect of these mechanisms on attitudinal outcomes. The research used a two-phase design. The first qualitative phase validated the constructs of power and influence. In Phase 2, quantitative data was obtained from 22 functional managers, 28 project managers and 92 project personnel in South Africa, Italy and Canada from one large project execution technology company. There appears to be a large perceptual gap between project managers, functional managers and project personnel. Managers perceive themselves to be using aspirational and personal influence mechanisms, whereas project personnel perceive the managers to be using positional, punitive mechanisms. Relationships were observed between the perceived type of influence being used by the managers and the project personnel’s satisfaction with their manager, overall job satisfaction, their performance and level of engagement. Functional and project managers are associated with very different attitudinal outcomes among project team members.

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)0.005
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 score0.066
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.092
GPT teacher head0.316
Teacher spread0.223 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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