Management challenges in delivering an international sport and development program
Bibliographic record
Abstract
Purpose – The primary purpose of this paper is to explore stakeholder perceptions of an international sport for development program so as to identify some of the management challenges within a strategic management framework. The secondary purpose is to provide recommendations for the focal organization’s leadership based on those stakeholder perceptions. Hence, participants in this study directly experienced the facilitation and implementation of the international sport for development program. Participant viewpoints are expressed in efforts to identify improvement opportunities in the delivery and operations of this sport for development program. Design/methodology/approach – In this qualitative research, a case study design was chosen to produce a detailed account of the Commonwealth Games Association of Canada’s (CGC) International Sport and Development (IDS) program. Interviews were conducted with 24 alumni of the IDS program, five CGC IDS administrators, and ten host IDS organization administrators from African and Caribbean regions. Findings – Findings demonstrated shared perspectives regarding the challenges and various management practices among the three stakeholder groups investigated. In particular, funding and human resource stress was found to be the largest obstacles of maintaining programming and achieving desired outcomes. Several strengths and limitations in the program design, monitoring and evaluation strategy, and program documentation of outcomes were found which can presumably be used to help formulate management strategy moving forward in efforts for continuous improvement. Research limitations/implications – The study does not take into account the stakeholder group of participants whom were deemed to be on the receiving end of the program and not responsible for the delivery and operations of the initiatives which were the focus of the study. Practical implications – Recommendations in lieu of present challenges and objectives are also offered and are based on information from the facilitators and implementers of the principal program of research and the results of the semi-structured interviews. Originality/value – This study examines three different stakeholders that are responsible for the facilitation and implementation of the design, delivery, and daily operations of sport for development projects within an international partnership context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".