A study of how to implement a successful CRM by identifying challenges using DEMATEL method: An empirical study on small to medium business units
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
This paper identifies and analyzes barriers of customer relationship management (CRM) implementation in SMEs. Hence, based on a comprehensive review of the literature and gathering the viewpoint of experts, the influencing barriers are identified. In order to analyze the identified barriers, DEMATEL methodology is applied and a causal model of the relationships between barriers is developed. Furthermore, based on the DEMATEL results the barriers are also categorized into two groups of driver and dependent. The results of study show that inadequate budget, organization culture, obligation of major management to CRM and inadequate access to modern technical knowledge are among effective impediments and play important role in successful establishment of customer relationship management system.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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