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Record W2973541193 · doi:10.5539/gjhs.v11n11p101

Succession Planning and Leadership Development in a Faculty of Health Sciences

2019· article· en· W2973541193 on OpenAlex
Bethuel Sibongiseni Ngcamu

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsnot available
Fundersnot available
KeywordsSuccession planningLeadership developmentEconomic shortageQualitative researchMedical educationFaculty developmentPublic relationsSociologyPolitical scienceProfessional developmentMedicineGovernment (linguistics)Social science

Abstract

fetched live from OpenAlex

BACKGROUND: The challenges in the Faculty of Health Sciences in universities are unique and complex. These dynamic faculties require decisive and strong leadership, smooth systems and business processes, succession plans and development opportunities. These challenges in these faculties are exacerbated by the fact that the roles and responsibilities of the Heads of Departments are multifaceted. Those who are heading them are not acclimatising to the responsibilities because of the lack of support to develop and succeed in their positions. This study therefor seeks to determine challenges faced by the HoDs in the Faculty of Health Sciences, and the succession plans, competences and development programmes that are in place to develop future leadership talent in a university in South Africa. METHODS: A single case study approach was employed whereby qualitative in-depth interviews were conducted with nine HoDs and a faculty dean as well as the observation and document analysis. The grounded theory as an inductive process was used to categorise and code data where themes and trends emerged from the data. RESULTS: Four major themes emerged from the data: The university, faculty and departments within the faculty did not have succession plans while the strategic positions were occupied by post-retirees. The Faculty did not have competent employees who could ascend to academic leadership positions in the faculty. There was limited growth in the Faculty due to the absence of the developmental programmes. There was a plethora of challenges including the shortage of office equipment, absence of the mentoring programmes, structural fragmentation and inefficiencies in the Human Resource Department (HRD). CONCLUSIONS: A pervasive crisis was observed in this particular Faculty of Health Sciences during the turbulent times in universities. It is crucial for the HoDs to receive quality support from the administrative departments such as HRD in order for them to achieve the departmental objectives. The HoDs’ leadership capabilities and effectiveness can be enhanced by mainstreaming the human resources business systems, development, mentoring and coaching, as well as the implementation of well-coordinated succession plans.

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)0.005
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 score0.027
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.135
GPT teacher head0.354
Teacher spread0.220 · 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