Evaluation of sport participation objectives within a health-focussed social marketing sponsorship
Bibliographic record
Abstract
Purpose The purpose of this paper is to empirically test O’Reilly and Madill’s (2012) process model to assess social marketing elements of a multi-year partnership between Coca-Cola Canada and a physical activity microgrant program, known as Teen Challenge, managed by ParticipACTION, a Canadian not-for-profit organization that champions sport and physical activity participation. ParticipACTION’s Teen Challenge is a multi-year initiative that was developed in 2008 and involves over 5,800 community organizations (COs) and over 500,000 Canadian teens across the nation (ParticipACTION, 2016). Design/methodology/approach A series of ten hypotheses related to the evaluation are tested using longitudinal data from event participants over a five-year period from 2009 to 2013. Findings The study revealed that sponsor and sponsee shared objectives around sport participation, including the three found in this study. Practically, this is a positive result for sport participation properties who might now consider this as part of a sponsorship sales strategy. The research found that both Coca-Cola Canada and ParticipACTION have the following shared objectives in this particular sponsorship: motivate and support youth to get active and live a healthy life; remove barriers that youth face in getting physically active; and encourage more COs to be involved in the program. Conceptually, this finding extends the discussion of shared social marketing objectives in sponsorship proposed by Madill and O’Reilly (2010). Research limitations/implications The findings support the sponsorship literature, in suggesting that shared objectives among sponsorship partners are important for the sponsorship to achieve successful outcomes (Cornwell et al. , 2001). Shared sponsorship objectives can be utilized as a strategic tool for the sponsee to demonstrate the effectiveness of the program and to build a long-term relationship. The results of the logistic regression analysis indicate that COs which viewed partners’ collaboration as positive agreed that the Teen Challenge program made physical activity more accessible and affordable for youth. Practical implications This study provides several important implications for non-profit organizations that aim to establish an effective social marketing campaign. One way for non-profit organizations to build a strong relationship with sponsors was through positive collaboration where the two partners work together (e.g. activation) to maximize the sponsorship’s effectiveness. First, it increased youth participation in the Teen Challenge program and made it affordable for teens to participate in other physical activity programs. Second, it enhanced Coca-Cola’s image as supporters of active lifestyle in the eyes of COs. Finally, it affected the likelihood that COs would recommend the program. Social implications Results of the survey of COs that are registered with the program provides us with another important finding that positive partner collaboration is only one component of overall effectiveness. Another component would be to take action to communicate to COs that positive collaboration indeed took place in the sponsorship. One way to achieve this goal is to demonstrate to COs the importance of funding that the sponsor provides as well as the impact of sponsorship partners’ positive collaboration on the overall program. The authors also found that sponsorship partners’ positive collaboration in the delivery of the Teen Challenge program played an important role in whether COs recommend the program to others. Originality/value The results of this research contribute to the evaluation of the sponsorship of a health-oriented social marketing sponsorship of a sport participation property or sponsee (ParticipACTION) and a major brand as sponsor (Coca-Cola).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".