Antecedents of E-Banking Services by Customers for the Selected Commercial Banks in Sylhet, Bangladesh
Bibliographic record
Abstract
<p>This study is conducted to identify customers view regarding cost effectiveness, time savings and security of different types of e-banking products like online banking, ATM banking, internet banking, mobile banking and telephone banking. E-banking is the alternative delivery channels that banks adopted for providing efficient banking services through the help of internet, computers, mobile phone etc. Banks’ customers were considered as population and primary data were collected through questionnaire. Descriptive statistics and Chi-square test were used for analyzing the data. The results indicated that customers prefer ATM banking services most, next to follow mobile banking and online banking. The customers believed that all types of e-banking products save time and except telephone banking others types of e-banking products were secured. Online banking and ATM banking services were not considered as cost effective. Analysis indicated no relationship between online banking and different demographic variables. ATM banking services was highly influenced by most of the demographic variables whereas internet banking, mobile banking and telephone banking influenced by few demographic variables i.e. age groups, education level, and monthly income. The results help banks to develop varieties of e-banking products and formulate strategies by considering the demographic characteristics of the customers. Customers expect more users friendly e-banking products along with diversify features and suggested to develop latest e-banking products like mobile apps based banking for ensuring long term customers relationship, attracting potential customers and keeping existing customers that may ensure consistent growth and profit as well.</p>
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 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".