Familiarity and format: cause-related marketing promotions in international markets
Bibliographic record
Abstract
Purpose The purpose of this paper is to demonstrate cause-related marketing (CRM) promotions as a brand-oriented international market entry strategy that can leverage an unfamiliar brand in a new international market. One of the challenges CRM promotions face is skepticism toward the campaign and for that reason, many brands form alliances with well-known charities familiar to the consumer, hoping that the trust and goodwill generated by the charity will be transferred to the brand. The authors manipulate price and donation presentation formats to show an alternative means for overcoming skepticism. Design/methodology/approach The research is undertaken in two studies. Study 1 uses a sample collected on Amazon’s MTurk, whereas study 2 is undertaken in the real world with participants from Norway. Analysis of variance and partial least square are, respectively, used to test the hypotheses. Findings The first study shows that presenting the donation explicitlyvis-à-visthe price makes a less familiar charity produce the same trustworthy effects as that a well-known one does. Moreover, the second study shows that it strengthens utility from the transaction and weakens skepticism of CRM promotions to impact brand evaluations. Research limitations/implications The primary focus of the research was consumers’ familiarity with the charity but other variables could have a significant impact in judgments. For instance, the importance consumers attach to the cause that the charity supports, spatial distance of the brand and charity, brand familiarity. Manipulating these in future studies would not only contribute to the CRM literature but also to that of international marketing. Practical implications Firms in international markets can derive competitive advantages with the help of CRM campaigns. Moreover, alliances with familiar charities that are local can help combat nationalistic feelings prevalent in many markets. The separated presentation format can also help overcome some of the additional skepticism found in international markets. Social implications The findings support the Better Business Bureau’s Standards for Charity Accountability that seek transparency in communicating CRM promotions. The explicit presentation of price and donation, in addition to providing this transparency, also gives consumers a clear understanding of the CRM promotions’ details, which will increase their self-efficacy in making more informed decisions. Originality/value This research contributes to strengthening knowledge on donation-price formats, offers brands entering international markets a singular way of gaining credibility and competitive advantage, and empirically confirms the proposed outcomes of a theoretical model for promotions.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".