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Importance Performance Analysis and Servqual Model: an Integrated Approach for Enhancing Customer Satisfaction


Affiliations
1 Dayalbagh Educational Institute (Deemed University), Dayalbagh, Agra, India
 

The paper aims to evaluate the service quality dimensions with reference to the banking sector along with the application of Importance Performance Analysis (IPA Framework) and Improvement Factor (IF). The study is qualitative in nature which follows the non-probability sampling method. In order to collect data, a well defined questionnaire consisting of close ended questions on service quality attributes, namely reliability, assurance, tangible, empathy and responsiveness have been prepared to record importance and performance level from customers. IPA Grid has been formed and Improvement Factor (IF) has also been calculated to look at the level of improvement needed for each attribute. This study brings out the application of SERVQUAL Model, IPA framework and Improvement Factor, which helps in identifying areas for strategic focus to develop future strategies. From the research perspective, this study supports the adaptation of the IPA Framework as an alternative/integrative framework for evaluating customer satisfaction.

Keywords

Service Quality, IPA Framework, Improvement Factor, Customer Satisfaction.
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  • Fowler, P. and N. Weerakit, (2013). Critical Issues Affecting the Service Quality in Water Base Tourism Operator: a Case Study of the Marine Leisure Tour Guide in Andaman cluster, Thailand, Review of Management Innovation & Creativity, Vol. 6 Issue 19
  • Frauman, E and S. Bank ( 2011). Gateway community resident Perceptions of Tourism Development Incorporating Importance-Performance Analysis into a Limits of Acceptable Change framework, Tourism Management, Vol/32 Issue 1.
  • Kitcharoen, K. (2004). The importance-performance analysis of service quality in administrative departments of private universities in Thailand, ABAC Journal, Vol 24, Issue 3.
  • Martilla, J. A. and James, J. C. (1977). Importance Performance Analysis. Journal of Marketing, Vol 41.
  • Parasuraman, A., Zeithaml, V. A. and Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, Vol 49.
  • Parasuraman, A., Zeithaml, V. A., Berry, L. L. (1988). SERVQUAL: A Multiple-item Scale for Measuring Consumer Perception of Service Quality. Journal of Retailing, Vol 64.
  • Pike, S. (2004). The Use of Repertory Grid Analysis and Importance-Performance Analysis to Identify Determinant Attributes of Universities, Journal of Marketing for Higher Education, Vol 14, Issue 2.
  • Sethna, B. (1982). Extensions and Testing of Importance-Performance Analysis, Business Economics, Vol 17, Issue 4.
  • Silva, Fatima, and Paula Fernand. (2010). Using Importance Performance Analysis in Evaluating Institutions of Higher Education: A case study, International Conference on Education and Management Technology, 978-1-4244-8617-5/10/ $26.00 © 2010 IEEE
  • Silva, F. and Fernandes, O. (2011). ImportancePerformance Analysis As A Tool In Evaluating Higher Education Service Quality: The Empirical Results of Estig (IPB), Creating Global Competitive Economies: A 360-Degree Approach, Vol 1-4.
  • Tzeng G.H.& Chang H. F.(2011). Applying Importance Performance Analysis as a Service Quality Measure in Food Service Industry, Journal of Technology, Manageemrnt & Innovation, Vol 6, Issue 3.
  • Wong, M.S., C. Fearon, and G. Philip, (2009). Evaluating E-government in Malaysia: An importanceperformance Grid analysis (IPA) of citizens and service providers, International Journal of Electronic Business, vol. 7, no. 2.

Abstract Views: 265

PDF Views: 142




  • Importance Performance Analysis and Servqual Model: an Integrated Approach for Enhancing Customer Satisfaction

Abstract Views: 265  |  PDF Views: 142

Authors

Kanika Verma
Dayalbagh Educational Institute (Deemed University), Dayalbagh, Agra, India

Abstract


The paper aims to evaluate the service quality dimensions with reference to the banking sector along with the application of Importance Performance Analysis (IPA Framework) and Improvement Factor (IF). The study is qualitative in nature which follows the non-probability sampling method. In order to collect data, a well defined questionnaire consisting of close ended questions on service quality attributes, namely reliability, assurance, tangible, empathy and responsiveness have been prepared to record importance and performance level from customers. IPA Grid has been formed and Improvement Factor (IF) has also been calculated to look at the level of improvement needed for each attribute. This study brings out the application of SERVQUAL Model, IPA framework and Improvement Factor, which helps in identifying areas for strategic focus to develop future strategies. From the research perspective, this study supports the adaptation of the IPA Framework as an alternative/integrative framework for evaluating customer satisfaction.

Keywords


Service Quality, IPA Framework, Improvement Factor, Customer Satisfaction.

References





DOI: https://doi.org/10.20968/rpm%2F2016%2Fv14%2Fi1%2F109406