Investigating the effect of different conflict management strategies on brand promise: A case study of banking industry
Bibliographic record
Abstract
The purpose of this paper is to study the effect of different conflict management strategies including competition, cooperation, prevention and compromise on brand promise. The proposed study uses the questionnaire developed by Communicative strategies in organizational conflicts: Reliability and validity of a measurement scale. Communication yearbook, 6, 629-652.] to measure conflict management measures and to measure the components of brand promise, the study develops a questionnaire. The proposed study is executed among some employees of bank Melli Iran in city of Tehran, Iran. Cronbach alphas have been calculated as 0.76 and 0.83 for conflict management and brand promise, respectively. Using Pearson correlation ratios as well as multiple regression technique, the study determines that there was a reverse relationship between two conflict management strategies, cooperation and compromise, and brand promise. In addition, there was a positive relationship between two conflict management strategies, competition and compromise, and brand promise.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".