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Record W579443301

Cause-marketing for nonprofits : partner for purpose, passion, and profits

2006· book· en· W579443301 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMarketingBusinessRelationship marketingMarketing managementReturn on marketing investmentMarketing strategyBusiness marketingMarketing researchMarketing effectivenessMarketing mixPublic relationsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Foreword, Carol Cone. Acknowledgments. Introduction: My Journey, Partner for Purpose, Passion, and Profit. PART I: THE CAUSE-MARKETING MOVEMENT. Chapter 1. The New Corporate-Nonprofit Engagement. Cause Marketing: A Turning Point in Corporate-Nonprofit Relationships. An Essential New Link for Corporate-Nonprofit Engagement. Achieve Mission, Generate Revenue, and Other Benefits. Value of Cause Marketing. Cause-Related Marketing Internationally. Conclusions. Chapter 2. Integrating Value and Values. Cause Marketing Defined. Cause Marketing Is Marketing, So a Few Vital Facts. Trends Driving Cause Marketing. Corporate Drivers. Nonprofit Drivers. Conclusion. Chapter 3. Evolution of Cause Marketing. Evolution of Cause Marketing. Sales Phase. Customer Loyalty Phase. Branding Phase. Corporate Social Responsibility Phase. Nonprofit Driven Branding. Conclusion. PART II: CAUSE-MARKETING INITIATIVES: THE SEVEN P'S: BEST PRACTICES CASE STUDIES. Chapter 4. Cause-Marketing Products. Product Sales. Purchase Plus: Making Giving Easy. Licensing: Using Nonprofit Logos, Brand Identities, and Assets. Conclusions. Chapter 5. Cause-Marketing Issue Promotions. Finding the Synergistic Fit. Conclusion. Chapter 6. Cause-Marketing Programs. Cobranded Events. Cobranded Programs. Social (Public Service) Marketing Programs. Conclusions. PART III: GETTING IT RIGHT: FRAMEWORK FOR SUCCESS. Chapter 7. Creating a Cause-Marketing Orientation: Cause Preparedness. Determining Organizational Goals and Assets. Platform: The Big Simple Idea. Determine Targets for Cause-Marketing Approach. A Lucky Internally Prepare and Align the Organization. One Last Thing About Causes. Conclusion: The First Step Is Creating a Cause-Marketing Orientation. Chapter 8. Building the Cause-Marketing Program: Collaboration, Combining Assets, Creating Value. Build the Cause-Marketing Program. Collaboration: Strategic Partner Alignment. Combine Assets and Aim for Maximum Benefit. Creating Value: Determine for Both Partners. Conclusion. Chapter 9. Implementing the Cause-Marketing Program: Execution and Corporate and Community Outcomes. Execution and Outcomes. Implementing the Cause Program. Execute: Relationship Management and Delivery. Communicate: Internally and Externally. Cause-Marketing Goals Achieved: Community and Corporate Outcomes. Conclusions. PART IV: MAKING IT HAPPEN: BEST PRACTICES CASE STUDIES. Chapter 10. National Organizations: American Heart Association and First Book. Building the Cause-Marketing Program. Implementing the Program. Cause Goals Achieved. Final Thoughts and Advice. Dr. Seuss The Cat in the Hat Challenge Promotional Cause-Marketing Initiative. Building on a Cause-Marketing Orientation. Building the Cause-Marketing Program. The Big Simple Idea-with Turnkey Execution! Implementing the Cause-Marketing Program. Corporate and Community Goals Achieved. Chapter 11. Local Organizations: Food Bank (New York City) and Canadian Cancer Society (Vancover Island Region, British Columbia and Yukon District). NYC BANK-TO-BANK PARTNERSHIP: COBRAND CAUSE-MARKETING PROGRAM INITIATIVE. Creating a Cause-Marketing Orientation. Building the Cause-Marketing Program. Implementing the Cause-Marketing Program. Cause-Marketing Goals Achieved. Creating a Cause-Marketing Orientation. Building a Cause-Marketing Program. Implementing the Cause-Marketing Program. Goals Achieved. Chapter 12. Cause-Marketing Principles and Cautions: Seven Golden Rules, Seven Deadly Sins. Principles: The Seven Golden Rules of Cause Marketing. Cautions: Seven Deadly Sins. Conclusion. Final Thoughts. Partner for Purpose, Passion, and Profits. The Way Forward.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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

Quick stats

Citations33
Published2006
Admission routes1
Has abstractyes

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