Home > HCAS > HCAS_PUBS > HCAS_JOURNALS > TQR Home > TQR > Vol. 18 > No. 28 (2013)
Abstract
Customer satisfaction is imperative for the long - term success of any organization. More the competition, higher is the necessity to keep the customers satisfied. After liberalization in 1990 and economic reforms and the entry of new service providers in the Indian market, Indian banks – both public sector and private sector are facing enormous competition. In this competitive atmosphere, it becomes essential to understand the factors which might affect customer satisfaction in the Indian retail banking sector. In this study the researchers studied the construct of customer satisfaction with respect to Indian retail banking from a qualitative perspective. We studied the dimensions of customer satisfaction . We applied Grounded Theory Method, a tool for qualitative analysis . We conducted depth interviews and focus groups of Indian retail banking customers. The participants were persons who have availed Indian retail banking services. The analysis included open coding of the data and writing memos, concept generation from the phenomena, index card sorting to identify categories and sub - categories, axial coding to relate the categories and sub - categories, and selective coding to identify the core category. The findings included the concepts generated which would determine the dimensions which might affect customer satisfaction.
Keywords
Customer Satisfaction, Grounded Theory, Concepts, Categories, Sub - categories
Publication Date
7-15-2013
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.
DOI
10.46743/2160-3715/2013.1493
Recommended APA Citation
Mandal, P. C., & Bhattacharya, S. (2013). Customer Satisfaction in Indian Retail Banking: A Grounded Theory Approach. The Qualitative Report, 18(28), 1-21. https://doi.org/10.46743/2160-3715/2013.1493
Included in
Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, Social Statistics Commons