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This study attempts to measure service quality of public and private banking sector by measuring expectation and perception of customers. Descriptive Research Design was adopted to determine customers' perception and expectation about the bank. A survey has been used to collect primary data and 239 questionnaires were used in final analysis. SPSS and Microsoft Excel have been used to analyze and interpret the data. Bank service providers should continually monitor the level of fulfilment of personal needs and satisfaction with the organization, if they wish customers to remain loyal.
The banking industry like many other financial service institutes is facing rapid regulatory, structural and technological changes in market, stiffer competition, new set of challenges, more demanding, more educated and better informed customers. The importance of both service quality and customer satisfaction to service organizations in general and banking in particular has received extensive attention in recent years. Hence, the objective of this study was to examine the level of service quality and customer satisfaction in two major segments of banks i.e. private and public banks.
Tarsem Lal (2018) studied the financial inclusion through
cooperative banks. To meet the objectives, 540
respondents of cooperative banks operating in three
northern states of India, i.e., J&K, Himachal Pradesh (HP)
were studied. The study emphasized that financial
services such as savings, loans, insurance, credit, etc.,
through financial inclusion has generated a positive
impact on the lives of the poor people.
Bedman Narteh (2018) tried to set integration between SERVQUAL and BSQ models. The researcher modified the resulting scale by including price to examine service quality and customer satisfaction in retail bank services in Ghana. The researcher used questionnaire and surveyed 560 retail bank customers. The authors concluded that tangibles, reliability, assurance, empathy and price are positively and significantly predicted customer satisfaction.
Mohamed AbdulnaserJanahi, Muneer Mohamed Saeed Al Mubarak, (2017) studied the impact of different factors of customer service quality on customer satisfaction. The paper presented a model having six constructs namely Compliance, Assurance, Reliability, Tangibility, Empathy and Responsiveness and exhibited relationships between these six factors and customer satisfaction in the Islamic banking sector. The authors concluded that there is a strong and positive relationship between the six constructs of customer service quality and customer satisfaction.
Chrys i Alexiadou, NikolaosStylos , Andreas Andronikidis, Victoria Bellou, Chris A. Vassiliadis, (2017) evaluated perception-based quality in service encounters. The researchers studied potential mismatches in how customers and front-line employees perceive quality in service settings. The survey involved 165 bank branches and 1,522 respondents (463 front-line employees and 1,059 customers). Results revealed relation between tangibles, responsiveness and assurance when compared customers and front-line employees perceptions but also found mismatches between customers and front-line employees perceptions of reliability and empathy.
Abhilash Ponnam, Rik Paul, (2017) drafted the situation for service value expected in various phases of relationship over time in Indian retail banking context. The authors explored customer service value dimensions related to Indian retail banking. The customer intimacy, product leadership, service equity, perceived sacrifice, service quality, and operational excellence are the service value dimensions in context of Indian retail banking. The authors concluded from inferential statistics that except for operational excellence and service quality, all the other value dimensions exhibited variation in importance over time. Results reveal that customers in the early stages of relationship value tangible value dimensions and the ones in advanced stages of relationship value intangible dimensions.
Pichate Benjarongrat, Mark Neal, (2017) done research in Thai bank and studied the service profit chain (SPC) with a intention to identify which service features customers understand to be most important in their customer satisfaction and engagement. Convenience, courtesy, competence and internal branding are the key service features for customers in their satisfaction and engagement. Convenience, courtesy, competence and internal branding showed positive relationships with customer satisfaction/customer engagement.
Hajer Zarrouk, Khoutem Ben Jedidia, Mouna Moualhi, (2016) compared the factors affecting profitability in Islamic bank and conventional banking in the Middle East and North Africa (MENA) region. A panel data model was used to know the banks' specific determinants and the macroeconomic factors influencing the profitability. The authors studied 51 Islamic banks operating in the MENA region from 1994 to 2012. The authors concluded several elements of similarities between determinants of the profitability for Islamic and conventional banks except inflation rate.
Jennifer Mullan, Laura Bradley, Sharon Loane, (2017) studied perception of stakeholders for mobile banking and identified drivers and barriers of bank adoption of mobile banking.
The researchers have used two-round modified Delphi study. The opinion of 72 members from six stakeholder industries was sought. The authors concluded that global mobile phone penetration, competitive advantage, customer convenience, strategic importance, customer demand, low perceived risk/security concerns and stakeholder partnerships are the key drivers of bank selection.
Justin Paul, Arun Mittal, Garima Srivastav, (2016) compared the private and public-sector to check the impact of various service quality variables on the overall satisfaction of customers. Forward stepwise regression was used by the researchers. The authors surveyed 500 respondents in India; equal proportion of respondents surveyed both for private and public banks. The authors concluded that knowledge of products, response to need, solving questions, fast service, quick connection to the right person, and efforts to reduce queuing time are positively associated with overall satisfaction in private sector context
Descriptive Research Design was adopted to determine customers' perception and expectation about the bank. The study has the population base as the public and private banks located in Ahmedabad and Gandhinagar cities of Gujarat State. A convenience Sampling was used to elicit information regarding customer perception and expectation about the service quality and customer satisfaction of the major banks. The questionnaire has been personally administered on sample size of 239 chosen on a convenient basis from the cities of Gujarat State. Modified SERVQUAL instrument with five point likert type scales was used. For the analysis of data statistical methods are applied with the aid of SPSS version 16.0.
KMO (Kaiser – Meyer - Olkin test of sampling adequacy) :
Significance value: - 0.8936.
The KMO is a statistic indicates the proportion of variance in research variables that might be caused by underlying factors. High values (close to 1.0) generally indicate that a factor analysis may be useful. So here the value is 0.8936 and it is closer to 1. So it can be said that factor analysis is useful for data. The rotated factor matrix shows that three components have less than 0.5 Eigen values and 22 components explain 90.24Percent variance of total variance. The components which have lesser value (less than 0.90) it should be deleted in factor analysis. From the above two tables it can be said that 3 components Q4 (Materials Associated with the service will be visually appealing at bank) from Tangibility dimension, Q7 (Banks will perform the service right the first time) from Reliability dimension, Q15 (Customers of banks will feel safe in transaction) from Assurance dimension is not important and it is removed for further survey.
A measure of construct reliability (Cronbach's Alpha) was computed for each dimension to assess the reliability of the set of items forming that dimension. The coefficients range from 0.8647 to 0.75462. As a rule 0.70 or more represent satisfactory reliability of the items measured.
The analysis shows that there is a major difference between the servicequality expectations versus perception of the customers for all the banks.It can be seen that the Empathy dimension is having the largest gap, followed by Reliability.
Hypothesis:There is no significant difference between customer expectations and customer perceptions of public banks regarding service quality. The analysis shows that there is a major difference between the service quality expectations versus percept ion of the customers for public sector banks. The above table reveals that in the reliability dimension public sector performs well. And there is a high gap between expectation and perception in empathy and convenience dimension. Similarly private banks are analyzed.
Major finding of the research were summarized as follows.
The factor analysis confirms total 22 variables which
explain 90.24 Percent of variance out of total variance and 3
variables get deleted for further survey because they are
not forming part of any grouping variables. Factor analysis
showed that tangible, assurance; empathy, reliability,
responsiveness and convenience dimensions are the
explanatory variables for predicting customer satisfaction
The reliability testing reveals that all the values of cronbach alphas are greater than 0.75 so that it can be concluded that collected data is reliable.
The statistical analysis shows that there exists a gap between the customer expectations and perceptions in the Banking sector.
The statistical analysis shows that there exists a gap between the customer expectations and perceptions in the Banking sector. The expectations of bank customers are higher than their perceptions as suggested by Parasuraman et al. (1988). This gap varies across the banking sector.It can be concluded from factor analysis that tangibility, assurance; empathy, reliability, responsiveness and convenience dimensions are the explanatory variables for predicting customer satisfaction in Gujarat.