Bibliographic record
Abstract
The purpose of this study is to identify and rank the key elements of success in customer relationship management (CRM) in Cement Company of Sistan and baluchestan province.For that purpose, considering four aspects of human element, appropriate organization of communication networks, technology, and focus on key customers, several standardized and native hybrid models have been used and a questionnaire with Cronbach's alpha of 0.896 was designed and distributed.The questionnaire is consisted of 46 items.This is an applied study, and from perspective of data collection and conclusion it is a survey research; and from analytical point of view, it is a correlational study.The statistical population is consisted of 288 people, which includes 64 employees and 224 customers, who have been selected using stratified random sampling during the time period from February 20 th to August 23 rd of 2014.To analyze the data descriptive and inferential statistics methods have been used.The results of Friedman's test indicate that according to respondents (employees and customers), the key elements of success in customer relationship management are technology, appropriate organization of communication networks, human factor, and focus on key customers, respectively.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.995 | 0.993 |
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; both teacher heads agree on what is shown here.
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".