Prioritization of Customer Service Quality Dimensions in Indian Cooperative Banks: RIDIT & Grey Relational Approach

Sonalee Srivastava, Rama Koteswara Rao Kondasani, A. Masih
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Abstract

The principal objective of this research paper is to Prioritise Customer Perceived Service Quality (CPSQ) in the proportion of service quality for Indian cooperative banking sector. In order to understand the cooperative banking customer’s perspective and their relative significance, thirty three service quality dimensions are considered and deeply analysed. In addition, Questionnaire of Customer Perceives Service Quality (CPSQ) is also collected and implemented. Here, the necessary data is collected in the months of November 2019 and January 2020 respectively by using convenience sampling method. The data is collected from the state of Utter Pradesh, India. The reason behind choosing Utter Pradesh is, it agriculturally strong and has higher population (around 20 Crores) in India. Here, to prioritise the CPSQ scale, we have used Relative to an Identified Distribution (RIDIT) & Grey Relational Analysis (GRA) and later we also compared the results to check the reliability of these ranking methods. To perform this prioritization we have used seven factors such as Efficiency (EFF); Infrastructure (INF); Effectivenes (EFT); Timely Services (TMS); Bank Image (BIG); Safety & Security (SS) and Up to date technology (UDT). Later, GRA and RIDIT analysis are also conducted to distinguish the prioritization of service quality items. The present study and analysis helps to validate the cooperative banks service quality in general by ranking the service quality dimensions, which are specifically important in Indian banking sector to improve and enhance its quality. Finally, the obtained results shows that, it is apparent that managers of cooperative banks in Indian scenario must focus more on cooperative bank quality dimensions to improve the reliability of their customer’s perception of cooperative banking in terms of better performance and service quality.
印度合作银行客户服务质量维度的优先排序:RIDIT和灰色关联方法
本研究论文的主要目的是优先考虑客户感知服务质量(CPSQ)在印度合作银行业服务质量的比例。为了理解合作银行客户的视角及其相对意义,本文对合作银行服务质量的33个维度进行了思考和深入分析。此外,还收集并实施了顾客感知服务质量问卷(CPSQ)。本文采用便利抽样法,分别于2019年11月和2020年1月采集必要数据。这些数据是从印度的阿特邦收集的。选择阿特邦的原因是,它的农业实力强大,在印度拥有更多的人口(约2亿)。在这里,为了确定CPSQ量表的优先级,我们使用了相对于已识别分布(RIDIT)和灰色关联分析(GRA),后来我们还比较了结果以检查这些排名方法的可靠性。为了实现这个优先级,我们使用了7个因素,如效率(EFF);基础设施(正);效果(EFT);及时服务;银行形象(BIG);安全与保安(SS)和最新技术(UDT)。随后,通过GRA和RIDIT分析来区分服务质量项目的优先级。本研究和分析有助于通过对服务质量维度进行排名来总体验证合作银行的服务质量,这对印度银行业改善和提高服务质量特别重要。最后,所得结果表明,显然,印度情景下的合作银行管理者必须更多地关注合作银行质量维度,以提高客户对合作银行更好的绩效和服务质量感知的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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