Establishing Profitable Customer Loyalty for Multinational Companies in the Emerging Economies: A Conceptual Framework
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.
Bibliographic record
Abstract
It has been observed that some firms succeed in their attempts to achieve business goals in emerging economies, whereas others fail. To understand the reasons for this phenomenon, the authors conduct a qualitative study where they interview 42 managers of multinational companies from the United States, Canada, Europe, Asia, and Australia. From the insights gleaned from these interviews and the available literature, they propose a conceptual framework that identifies the possible factors that would drive the creation of both a profitable and a loyal customer base (termed “profitable customer loyalty” in this study) in the emerging economies. The influencing factors are categorized as customer-specific variables, marketing-mix variables, and firm-specific variables. From these factors, the authors advance research propositions that discuss the potential relationships with profitable customer loyalty. One of this study's key contributions is the proposal that multinational companies monitor the suggested factors and assess a degree of comfort before formulating strategies in the emerging economies. Further research can focus on the empirical validation of the proposed framework.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it