Population groups and banks: a comparative study on the survival analysis of Indian commercial banks

被引:1
|
作者
Khanna, Sakshi [1 ]
Gaur, Manoj [2 ]
机构
[1] Himachal Pradesh Univ, Univ Coll Business Studies, Shimla, India
[2] Chitkara Univ, Inst Engn & Technol, Rajpura, Punjab, India
来源
MANAGEMENT RESEARCH REVIEW | 2022年 / 45卷 / 02期
关键词
Survival analysis; Customer satisfaction; Indian commercial banks; Management in practice; Bank stability; High-touch and high-tech experience; Kaplan-Meier estimator; Population groups;
D O I
10.1108/MRR-07-2020-0397
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose Banks in India have started opening their branches in different areas to make sure that their customers get a high-touch experience and they see them as a premier brand. This could be ensured only if the banks show a stable physical presence in the market as well as provide the recent high-tech services to their customers as per the population group. The purpose of this study is to examine the survival rates of the commercial banks in India across the four population groups along with the differences that exist in their survival rates in all the population groups. Design/methodology/approach The analysis is based on the quarterly data of the number of functioning offices of the commercial banks in India as per the four population groups from March 2006 to December 2019. The survival is estimated using the Kaplan-Meier estimator. Findings From the analysis, it is revealed that survival of the banks changes as per the population group. In addition to this, it is found that the survival time of each category of the bank varies in each population group. Research limitations/implications This study focuses only on the commercial banks of India; a similar research could be done for other categories of Indian banks. Also, the results would have been different if the variables such as the size of the bank, bank risk, etc. are included and studied. Moreover, this study is done using the Kaplan-Meier estimator, i.e. time-to-event. Further, an advance study could be done after considering the financial parameters of banks using the Cox's regression model, which explores the relationship between various predictors and the time-to-event. Social implications Due to the changes in the preferences of societies, the banks should also adopt different strategies to ensure that their products are understood and accepted by their customers. This will eventually increase the survival rate of the banks. Originality/value The work made in this study is completely new.
引用
收藏
页码:137 / 155
页数:19
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