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Record W7119179484 · doi:10.5281/zenodo.17768716

From Individual Development to Organizational Success: The Role of Mentoring Programs

2025· article· W7119179484 on OpenAlexaboutno aff
meri taksi deveciyan, BURÇIN ATASEVEN, Osman Özkara

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisLeadership developmentOrganizational commitmentOrganization developmentQualitative researchCareer developmentOrganizational learning

Abstract

fetched live from OpenAlex

The purpose of this study is to thoroughly examine the effects of the “Give a Hand” mentoring program on individual development and their contribution to organizational success. The program was designed to assess how participants progressed in personal satisfaction, psychological and emotional development, communication skills, and social competencies. The research employed qualitative methods, a phenomenological approach, and semi-structured interviews were conducted with 36 mentors (from the USA, Turkey, and Canada) in the “Give a Hand” mentoring program. The data obtained were analyzed using thematic analysis. The findings demonstrate that mentoring processes play a significant role in enhancing leadership competencies and strengthening participants’ commitment to achieving organizational goals. The study’s findings provide evidence on how mentoring practices can be used as a functional tool on the path from individual development to organizational success. In conclusion, it is demonstrated that mentoring programs should be systematically addressed, and that adopting approaches tailored to participants’ needs will enhance success at both individual and organizational levels. In this context, mentoring practices are expected to contribute to the literature on the sustainable success of organizations as well as providing an opportunity for individuals to improve themselves. Keywords: Leadership Development, Mentoring Programs, Strategy, Individual Development, Organizational Success

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0030.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.006

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 head0.037
GPT teacher head0.289
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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