The Factors that Affecting on the Consumers' Continuing to Use Internet Services in the Banking Industry: Empirical Evidence from Abu Dhabi, UAE
Bibliographic record
Abstract
The aim of the current study is to discover and examine the factors that affecting consumer’s and dealers' in banking services to continue using internet banking (electronic services) in United Arab Emirates. one of the most important goal in the banking sectors is a new customer acquisition, but actually the measures of continued the new customer with the bank is more important, that called in the marketing science 'retaining customers'. And one of the most effective methods to do that is make the electronic services more attractive to customers and accorded more attention to the internet banking, to make it understandable and enforceable by any customer. The current study is a natural reaction to a gap in the current references and researches which needed the produce of more unified theoretical analysis and the determination of factors that affect the continuing using of internet banking in the regard of importance to consumers, customers, and banking dealers.The researcher trying through this study to offer a many concepts depend on theoretical models regarding to the assenting of technology that used in banking industry and circulate of creative theories in this field. The Virtual model of this study includes some variables were created by the main factors from the researcher point eye view depend on some literature was taken in consideration, these factors: Technology, channel and social factors, which effect on the customers through continuing using of internet banking. And in the regarding of Data collection, it was collected using a questionnaire was contributed in Marina mall in Abu Dhabi mall (http://www.marinamall.ae/). A sample of this study includes 292 internet banking users. After run regression for this Data by some types analysis methods the researcher used the result of Likert scale, factor clarification and hierarchical multiple analysis, the main result of this study that the factors chosen in the model have a significantly impact on continuing using of internet banking.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".