Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/72654
Title: Internet Banking in India A Model for User Acceptance
Researcher: Marakarkandy Bijith
Guide(s): Yajnik Nilay
Keywords: Banking services
Country Profile
Economy
Electronic Banking
Languages
University: Narsee Monjee Institute of Management Studies
Completed Date: 
Abstract: Internet banking is an alternative service delivery channel providing banks several advantages, including cost reduction, market differentiation, streamlining of work processes, increased sales, increased reach, increased loyalty and opportunity to attract new customers. Internet banking channel service delivery for the customer is a help yourself model, offering anytime, anywhere access to a broad range of banking products and services. Banks made huge investments to develop and promote internet banking, but this service delivery channel remains underutilised. The intention behind this research was to address the shortcoming of the limited research on internet banking adoption in India, by conducting a comprehensive study for finding the reasons and factors responsible for the low usage of the internet-banking channel in India and, which may enable banks to take corrective steps to increase usage of the internet-banking channel. newlineThis study used a mixed method research approach, and examined the research problem from a broader perspective, by finding factors that drive internet usage. It explored features of the banks websites, conducted interviews with bank senior leaders, employees, non-users and users of internet banking, found relationships between the website traffic and the financial performance of banks, conducted a quantitative study to determine employee s perception about internet banking and undertook a study to find factors that enhance satisfaction levels amongst the internet banking users. The study finally extended the Technology Acceptance Model (TAM) by including new constructs taken from existing well-grounded theories and examined the robustness of the model to predict intention and usage. TAM and its augmented version were subsequently subjected to invariance tests to determine the moderating effects of the demographic variables on the relationship between the variables in the model. newline
Pagination: 
URI: http://hdl.handle.net/10603/72654
Appears in Departments:Department of Technology Management

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00.title page.pdfAttached File79.34 kBAdobe PDFView/Open
01.declaration.pdf214.82 kBAdobe PDFView/Open
02.certificate.pdf239.47 kBAdobe PDFView/Open
03.acknowledgements.pdf154.2 kBAdobe PDFView/Open
04.contents.pdf173.13 kBAdobe PDFView/Open
05.list of tables.pdf229.89 kBAdobe PDFView/Open
06.list of figures.pdf148.75 kBAdobe PDFView/Open
07.chapter 1.pdf374.24 kBAdobe PDFView/Open
08.chapter 2.pdf689.41 kBAdobe PDFView/Open
09.chapter 3.pdf494.18 kBAdobe PDFView/Open
10.chapter 4.pdf659.74 kBAdobe PDFView/Open
11.chapter 5.pdf2.21 MBAdobe PDFView/Open
12.chapter 6.pdf456.43 kBAdobe PDFView/Open
13.reference.pdf454.52 kBAdobe PDFView/Open
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