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Record W2609739604 · doi:10.17722/ijrbt.v9i2.475

Factors Impacting the Adoption of Project Management Techniques in Small Businesses

2017· article· en· W2609739604 on OpenAlexvenueno aff
Nasser Jarbi

Bibliographic record

VenueInternational Journal of Research in Business and Technology · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessProcess managementKnowledge managementComputer science

Abstract

fetched live from OpenAlex

Small organizations play a significant role in the social as well as economic development. The adoption of project management by small businesses has mounted to new prominence as projects are being considered critical to public and private sectors. The chief reasons of small businesses expanding their dimensions to project-based work include challenging environment as well as opportunities accompanied by advancements in technology, dynamic market conditions, the shifting boundaries of knowledge, and alterations in the environmental regulations, increased complexity as well as scope of inter-organizational relationships and the shift towards shorter product life-cycles. In the view of the fact that the projects are being extensively implemented by the small organizations; it is hence, essential to identify the factors that contribute to successful adoption of project management methodology. Achieving high-levels of project success is challenging for the small business since they have few resources when compared to large organizations. Therefore, they are required to identify the right project management method and the factors that influence its adoption. Hence, the fundamental aim of this particular study is to identify the factors that lead to successful adoption of the project management methodology by small businesses. In this specific study, the analyst had utilized mixed study design that was executed through surveys and interviews. The survey was conducted with 50 participants who were the part of small businesses. On the other hand, the interviews were performed with project managers. To enhance the understanding of the topic under consideration, the research additionally performed secondary research. In which the information was obtained from online journals, articles and books. . The review of the literature identified 12 factors that impact the adoption of project management methodology. The factors top management support, organizational adaptability, acceptability of project management, leadership style, commitment to planning and control, personnel, training, troubleshooting, project management improvement initiative attributes, communication and influence, inner context and outer context. The outcomes of the survey and interviews also put forwarded that these factors impact of project management adoption in small businesses.

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 score0.182
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.103
GPT teacher head0.390
Teacher spread0.287 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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