Antecedents and consequences of buyer‐seller relationship quality in the financial services industry
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
Purpose The purpose of this study is to develop a model that investigates the antecedents and the consequences of buyer‐seller relationship quality in the financial services. Design/methodology/approach Data were collected from a survey of more than 400 dyads (414 financial advisors and 772 clients in Canada) and were analyzed using structural equation modeling (SEM). Findings The results notably show that, for both financial advisors and clients, customer orientation has an impact on buyer‐seller relationship quality, whereas buyer‐seller similarity does not. The link between relationship quality and both consequences (purchase intention and word‐of‐mouth) is significant for the two samples. Research limitations/implications Limitations and research directions refer to the measure of word‐of‐mouth construct, which is only weakly reliable, and the need to consider a multilevel approach. Practical implications The study can be helpful for financial advisors to build effective strategies for enhancing their relationships with clients. Originality/value The study is one of the few to consider both perceptions (financial advisors and clients) in order to analyze buyer‐seller relationship quality in the financial services sector.
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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 | 0.004 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 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