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p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Research Journal of Business Studies
Parakh, Santosh
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Digital Wallet and Mobile Banking Adoption Among Rural Bank Customer Parakh, Santosh; Ukhalkar, Prakash; Sanu, Leena
International Research Journal of Business Studies Vol. 13 No. 3 (2020): December 2020 - March 2021
Publisher : Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/irjbs.13.3.215-226

Abstract

This study provides a rural viewpoint to the global research and literature on adoption of digital wallet and mobile banking among rural customer. It empirically examines the most influencing factors that stimulating to digital wallet and mobile banking user for service adoption. Primary and secondary data sources are used. A sample of 300 customers was surveyed from the rural areas of Maharashtra state, INDIA. A Simple Random Sampling method is used for selections of area from Maharashtra state and Chi-square testing was used in stated hypothesis. The study concludes that Security-Privacy, Trust and Familiarity has significant impact on Mobile banking adoption. And qualitative factors such has Prestige, Speed, Trust, Safety & Security, Easiness and Familiarity has major influence on rural customer for the adopting of Digital Wallet and Mobile banking services offered from financial institution
An Impact of Empirical Data Analysis in the World of Business Environment Swetha, Merla; E., Naresh; Parakh, Santosh
International Research Journal of Business Studies Vol. 15 No. 1 (2022): April - July 2022
Publisher : Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/irjbs.15.1.97-109

Abstract

Data Analysis plays a key role in all the fields of (Production and Operations, Finance, Marketing, Human Resource Analysis and Management) for successful market share. Data science can raise the value of any business who can effectively utilize their data. The proposed work presents heterogeneous types of data analysis techniques that are useful for changing the needs of the business. This study showcases how effective data analysis is carried out both qualitatively and quantitatively. The utilization of data analysis is to identify and distinguish the relationship in data and the trends among the factors which represent the data. It plays a vital role in making a business decision more effectively. With the aid of different data analysis techniques, data scientists can perform many operations on datasets that are useful for business organizations and it can also, help in many industrial applications.
Co-Authors E., Naresh Sanu, Leena Swetha, Merla Ukhalkar, Prakash