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Record W2131718163 · doi:10.5539/ass.v10n8p116

Reasons for Non-Adoption of Internet Banking: A Study with Reference to Vellore District of Tamil Nadu, India

2014· article· en· W2131718163 on OpenAlexvenueno aff
J. Ramola Premalatha, Natarajan Sundaram

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetTamilBusinessMarketingTest (biology)IncentiveAnonymityPublic relationsInternet privacyAdvertisingEconomicsComputer securityComputer science

Abstract

fetched live from OpenAlex

The fundamental commotion of twenty first century verve of ‘banking’ is transformed by the perception called Internet banking or online banking. Internet banking is accomplished by means of a personal computer or any itinerant piece of equipment presenting internet connection. All the banks in India offer Internet banking with a nexus of transactions in addition to an informational source. In spite of scores of incentives, there are certain issues affecting its practice. It is realized that there are a number of psychological and behavioral aspects persuading the acceptance of any new advancement such as Internet banking. It comprises of clientele understanding, availability, safety measures, user-friendliness, techno phobia or lack of enthusiasm to alter, penchant for tailored services and outlay of espousing the new advancements. This study is conducted to find out the barriers in utilizing the services offered by the banks through internet. The study also helps in understanding the opinion of the clientele on the banking through internet offered by their banks as well.This research paid an attention through exploratory method to recognize the issues acting as difficulties in the practice of the banking services offered through internet and rework the acuity of clientele on banking through technology. The sample clientele are the ones having account in private sector banks, without using internet banking services. A factor analysis test was conducted for the primary data to analyze. Though there are many advantages in using internet banking the barricades in practicing it by the clientele residing in the semi urban areas are cost, lack of infrastructure, traditional banking, unfriendly web site, not aware and reluctance to change.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.065
GPT teacher head0.369
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2014
Admission routes1
Has abstractyes

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