Objective: Social media has been increasingly used by the banking industries in the developed countries. However, there are limited studies from developing countries on adoption of social media by the banks. Apart from marketing purpose, banks are using the social media to provide various kinds of financial services to its existing customers and to attract the new clients through social network sites like Facebook, Twitter, MySpace, etc. In general, virtual financial space of the social media has been dominated by the Facebook. As on July 31, 2017, India has claimed the first position with 241 million users, ahead of second-ranked United States with 240 million Facebook users. In order to expand their business and improve the productivity, Indian banking industry cannot offer to lose this huge potential clientele base, which is readily available at virtual space. In the environment of cutthroat competition, with the intention to expand their financial services to its existing and potential customers, Indian banks cannot ignore these vibrant Facebook users. In this respect, present study examines the determinants of social media adoption of the 38 Indian commercial banks over the period March 2010 to March 2016. Of these 38 banks, 20 banks are public sector banks.
Methods: Kaplan-Meier nonparametric survival technique has been used to study the nature of social media adoption by the Indian banks. Time to join social media by the Indian public sector banks and private sector banks has been compared by using log-rank χ2 test. Cox’s proportional hazard regression model has been employed to assess the effect of explanatory variables on the adoption hazard rate i.e. joining the Facebook.
Results: As on March 2016, 31 Indian banks has joined the Facebook. Six public sector bank are yet to join the Facebook. Based on the Kaplan-Meier nonparametric survival function, mean time to join the Facebook for the public sector bank is estimated to be 54 months (95% CI: 46 – 62). Similarly, mean time to join the Facebook for the private sector bank is estimated to be 31 months (95% CI: 24 – 39). The median time to join the Facebook has been faster in private sector banks, i.e. 25 months compared to public sector bank with median time of 56 months (log-rank χ2 = 10.17; p=0.001). By using the Cox’s proportional hazard regression model, empirical findings suggest that the size of the bank is negatively affect joining the Facebook by the bank. Whereas, return on assets has been positively associated with joining the Facebook. Private sector banks are joining the Facebook quicker than their counter parts. It seems that private sector banks are leveraging on technological innovations in order to improve their profitability and thereby attracting the new customers. However, number of branches and ATMs are not associated with joining the Facebook by the Indian banks.
Conclusion: The role of the Social media is increasing in the banking industries to manage the long-term customer relationships through continuous interaction with their clients. In general, Facebook is the most widely used social media in India and Indian banking industry cannot offer to lose these vibrant Facebook users. However, there is hardly any study in the extant literature that focuses on the adoption of social media by the Indian banks. The present research uses survival analysis technique of technological diffusion that studies the conditional probability of adoption of social media over time.
By using the Cox’s proportional hazard regression model, empirical findings suggest that the medium size of the banks are tend to faster in joining the Facebook. Whereas, banks with higher non-interest income, intermediation cost and return on assets has inclined to adopt the technological innovations rapidly. The relationship between type of bank (i.e. private sector bank) and joining the Facebook is positive and statistically significant. In general, banks with the higher nonperforming assets are yet to adopt the Facebook. However, number of branches and ATMs are not associated with joining the Facebook by the Indian banks.
JEL Classification: O31; G21; C41; C34
Keywords: Social Media, Facebook, Indian Banks, Survival/Duration Analysis