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Impact Of Customer Management System In Improving Customer Retention: Optimization Of Negative Customer Feedback

Authors: Alireza Faed; David Forbes;

Impact Of Customer Management System In Improving Customer Retention: Optimization Of Negative Customer Feedback

Abstract

{"references": ["B. Stauss and A. Schoeler, \"Complaint management profitability: what\ndo complaint managers know?,\" Managing Service Quality, vol. 14, pp.\n147-156, 2004.", "S. Spencer-Matthews and M. Lawley, \"Improving customer service:\nissues in customer contact management,\" European Journal of\nMarketing, vol. 40, pp. 218-232, 2006.", "Y. Bolumole, et al., \"The customer service management process,\"\nInternational Journal of Logistics Management, vol. 14, pp. 15-32,\n2003.", "C. Fornell and B. Wernerfelt, \"A model for customer complaint\nmanagement,\" Marketing Science, vol. 7, pp. 287-298, 1988.", "B. Stauss, et al., Complaint management: the heart of CRM:\nThompson/South-Western, Mason, Ohio, 2004.", "K. De Ruyter and A. Brack, \"European legal developments in product\nsafety and liability: the role of customer complaint management as a\ndefensive marketing tool,\" International journal of research in\nmarketing, vol. 10, pp. 153-164, 1993.", "Y. Namkung, et al., \"Customer complaints in restaurants: Do they differ\nby service stages and loyalty levels?,\" International Journal of\nHospitality Management, vol. In Press, Corrected Proof.", "V. Bosch and F. Enriquez, \"TQM and QFD: exploiting a customer\ncomplaint management system,\" International Journal of Quality and\nReliability Management, vol. 22, pp. 30-37, 2005.", "J. Wirtz, \"Complaint Management: The Heart of CRM,\" Managing\nService Quality, vol. 16, p. 310, 2006.\n[10] P. Hidalgo, et al., \"Customer retention and price matching: The AFPs\ncase,\" Journal of Business Research, vol. 61, pp. 691-696, 2008.\n[11] J. Schulze, et al., \"7 Knowledge Enabled Customer Relationship\nManagement,\" Business networking: shaping collaboration between\nenterprises, p. 135, 2001.\n[12] R. Bose, \"Customer relationship management: key components for IT\nsuccess,\" Industrial Management and Data System, vol. 102, pp. 89-97,\n2002.\n[13] J. Ahn, et al., \"On the design concepts for CRM system,\" Industrial\nManagement and Data System, pp. 324-331, 2003.\n[14] T. Hong and E. Kim, \"The Selection of CRM System in Financial\nInstitutes Using the Analytic Hierarchy Process,\" 2007, pp. 296-302.\n[15] R. Chalmeta, \"Methodology for customer relationship management,\"\nJournal of System and Software, vol. 79, pp. 1015-1024, 2006.\n[16] H. H. Chang and S. W. Chen, \"The impact of customer interface\nquality, satisfaction and switching costs on e-loyalty: Internet\nexperience as a moderator,\" Computers in Human Behavior, vol. 24,\npp. 2927-2944, 2008."]}

Complaints today have the ability to retain customer loyalty using state of the art systems and strategies in customer relationship management to analyze and respond to a plethora of customer perception. The Majority of companies are not aware of the beneficiary utilization of customer complaints for the sake of quality improvements. Also, some companies have problems determining how resolution of complaints can be profitable. In this study, we will define the problems and ascertain the importance of customer management system on the companies. Furthermore, we will determine the impact of such a system on efficiency, confidence, profitability and customer complaints. Eventually, we will develop methods and address the issues. In this paper, we used an open-ended questionnaire and distributed that to 30 randomly chosen respondents which were the passengers in an airport. We also define three hypotheses for our study and we will validate each of them. Then using frequency, Chi- Square and quality control method we optimized the size of customers- negative feedback and improved the process of customer retention.

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Keywords

Retention., Complaint, Complaint management system, Customer relationship management

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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