• The Journal of Asian Finance, Economics and Business
• /
• v.4 no.4
• /
• pp.79-86
• /
• 2017

The purpose of this research is to examine reasons and evaluate strategies implemented by the Indian banking industry in tackling jay-customers in general and in light of the recent demonetization in particular. After a thorough germane literature and theoretical framework on jay-customers and Indian banking industry, researchers framed a well-structured questionnaire for collecting banking employees opinions along with a set of questions framed to conduct in-depth personal interviews with banking customers. The collected data were summarized, coded, and controlled by using Software R and the selected hypotheses were analyzed by the observance of percentile values. More than 90 percent of banking employees said lack of proper supply of cash from the Reserve Bank of India is the major reason for this kind of customer behaviour and shockingly 95 percent of banking customers expressed backdoor preference given by banking employees to some big customers is the major reason. The research confined only two state capitals Amaravati and Bangalore in India and covered only two largest banks one in public and private sector. The research provides useful insight into the crucial reasons for jay-customers' behaviour from the dyadic perspective of both employees and customers of the Indian banking industry.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.43-54
• /
• 2021

The study evaluates India's technological advancement, which has created a range of opportunities for consumers to enter into digital payment space. Demonetization in India has forced all consumers and companies to embrace and create cashless digital payment platforms. The cashless economy scenario involves various factors for its adoption such as reach, availability and awareness. This study considers factors responsible for adopting new digital payment technologies in India's different regions across various consumers. The study includes descriptive statistics and variance analysis (ANOVA) to identify elements to achieve maximum satisfaction. The research collects data from 250 respondents living in India, experiencing digital payments and online transactions. The data is collected through a structured questionnaire and critically analyzed using statistical analysis. The data has been analyzed with no sectorial biases and tracked by creating real-time indications. The study uses various hypotheses after taking responses from a sample of respondents. Cronbach's Alpha analysis is also used to determine the validity and reliability of the data. The study illustrates the complete shift of consumer behavior from cash to a cashless economy. A certain number of factors are shown to directly influence the rate of such a shift toward digital transactions in India.