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Record W4362617337 · doi:10.1108/ijmpb-08-2022-0185

Advancing research on project management in hybrid organizations: insights from the social enterprise literature

2023· article· en· W4362617337 on OpenAlexaff
Jennifer Jewer, Kam Jugdev, Mohammad Farshad Amini

Bibliographic record

VenueInternational Journal of Managing Projects in Business · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsAthabasca UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsDual (grammatical number)Context (archaeology)Knowledge managementSocial enterpriseOriginalityInstitutional theoryBusinessProcess managementSociologyComputer sciencePublic relationsPolitical scienceQualitative research

Abstract

fetched live from OpenAlex

Purpose This paper aims to understand the challenges of managing projects in hybrid organizations. The authors explore how organizations with persistent competing institutional logics strive to balance competing priorities, and the authors craft a research agenda to examine the capabilities to manage projects in hybrid organizations. Design/methodology/approach The authors focus on the social enterprise hybrid organizational form to study how such organizations manage persistent competing social and economic logics. The authors review the project management and social enterprise literature to generate new insights and suggest future research directions for theory development for project management. Findings The understanding of the influences of the institutional context on the management of projects is still quite limited. The authors propose that project managers need adaptive capabilities to address how the dual logics, and their corresponding different expectations, can be flexibly combined. The objective is not to reduce the complexity due to the different logics, which is the focus of much of the literature on institutional complexity. Instead, the focus is on how to incorporate dual logics into a successfully blended hybrid organization. Originality/value There is a dearth of literature about how projects are successfully managed in hybrid organizations with persistent competing institutional logics, like social enterprises, and important questions remain to be answered. This paper offers new insights on the capabilities required to flexibly combine dual logics that would generally compete and create conflict on projects in hybrid organizations.

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)0.001
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 score0.571
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.073
GPT teacher head0.356
Teacher spread0.283 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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