A Web Application for Managing and Resolving Complaints of Public

Authors

  • S Suvetha  Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
  • N Yasini  Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
  • M Yogesh  Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT195433

Keywords:

Complaint, Online, Management, Resolve

Abstract

The purpose of the paper is developing a web-site that is designed for Online Complaint Management System. In India there is no direct communication between the government and public in an efficient way for solving the problems. The main purpose is to provide an online way of solving the problems faced by the public by saving time and eradicate corruption and help the common people under the jurisdiction of a municipal corporation to register their grievances about day to day problems in their ward through a website and the municipal authorities to address the problem in a short period of time. Complaints are easier to coordinate and resolve, and to provide company with an effective tool to identify and target problem areas and acts as a management technique for assessing, analyzing and responding to public complaints. This software is used to record resolve and respond to public complaints, requests as well as facilitate any other feedback which provides an interface to register one’s complaint and follows it up.

References

  1. Degeratu, A. M., Rangaswamy, A., and Wu, J., “Consumer Choice Behavior in Online and Traditional Supermarkets: The Effects of Brand Name, Price, and Other Search Attributes,”eBusiness Research Center Working Paper, 2001, PENN State University, http://www.ebrc.psu.edu
  2. Day, Ralph L., “Modeling Choices Among Alternative Responses to Dissatisfaction,” in Advances in Consumer Research, 11, Thomas C. Kinner ed., Provo, UT: Association for Consumer Research, 1984, pp. 469-499.
  3. Anderson, R. E., “Consumer Dissatisfaction: The Effect of Disconfirmed Expectancy on Perceived Product Performance, “Journal of Marketing Research, February 1973, pp. 38-44.
  4. Betrand, K., “Marketers Discover What ‘Quality’ Really Means,” Business Marketing (72), 1987, pp. 58-72.
  5. Priyanka, G. "PREDICTION OF AIRLINE DELAYS USING K NEAREST NEIGHBOR ALGORITHM."
  6. Harshavarthini, S., Aswathy, M. P., Harshini, P., & Priyanka, G. (2019). Automated Epileptic Seizures Detection and Classification.
  7. B.Y. Ricardo And R.N. Berthier, Modern Information Retrieval. Addison Wesley Longman, 1999
  8. H. Kim, P. Howland, And H. Park, “Dimension Reduction In Textclassification With Support Vector Machines,” J. Machine Learning Research, Vol. 6, Pp. 37- 53, 2005.
  9. R. Kohavi And G. John, “Wrappers For Feature Subset Selection,” Aritficial Intelligence, Vol. 97, No. 1-2, Pp. 273-324, 1997
  10. Blodgett, J. G., K. L. Wakefield, et al. (1995). "The Effects of Customer Service on Consumer Complaining Behavior." Journal of Services Marketing 9(4): 31- 42.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-08-30

Issue

Volume 5, Issue 4, July-August-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S Suvetha, N Yasini, M Yogesh, " A Web Application for Managing and Resolving Complaints of Public , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 4, pp.213-216, July-August-2019. Available at doi : https://doi.org/10.32628/CSEIT195433