%0 Journal Article %1 shahnawazgrievance %A Shahnawaz, Mohammad %D 2020 %J BOHR International Journal of Data Mining and Big Data (BIJDMBD) %K E-Complaint Grievance service %N 1 %P 1–4 %R https://doi.org/10.54646/bijdmbd.001 %T Grievance Redressal System %U https://www.bohrpub.com/journals/BIJDMBD/Vol1N1/BIJDMBD_20201101.pdf %V 1 %X An effective and efficient response to the complaints is an essential index of organization’s performance. In colleges if anyone wants to complaint about something they have to write it down on a paper and submit which is not environment friendly. So, for solving this problem we developed Grievance redressal system. Here anyone associated with college being a student, faculty or working staff can easily file their complaint. To make this window more secure we mandated registration and login before one can file their complaint. These complaint are going to be solved by competent authority. The presented model for the Complaint Redressal System will have the ability to minimize people’s dissatisfaction and on the other hand it can encourage people to participate in improving the quality of the service provided.

@article{shahnawazgrievance, abstract = {An effective and efficient response to the complaints is an essential index of organization’s performance. In colleges if anyone wants to complaint about something they have to write it down on a paper and submit which is not environment friendly. So, for solving this problem we developed Grievance redressal system. Here anyone associated with college being a student, faculty or working staff can easily file their complaint. To make this window more secure we mandated registration and login before one can file their complaint. These complaint are going to be solved by competent authority. The presented model for the Complaint Redressal System will have the ability to minimize people’s dissatisfaction and on the other hand it can encourage people to participate in improving the quality of the service provided.}, added-at = {2022-01-05T12:56:47.000+0100}, author = {Shahnawaz, Mohammad}, biburl = {https://www.bibsonomy.org/bibtex/27d4861ac16af3f86218a318e5c6f05ec/ijdmbdjournal}, doi = {https://doi.org/10.54646/bijdmbd.001}, interhash = {1ecd49dba1a57608537951f2f723fdd0}, intrahash = {7d4861ac16af3f86218a318e5c6f05ec}, journal = {BOHR International Journal of Data Mining and Big Data (BIJDMBD)}, keywords = {E-Complaint Grievance service}, language = {English}, month = {June}, number = 1, pages = {1–4}, timestamp = {2022-01-05T12:56:47.000+0100}, title = {Grievance Redressal System}, url = {https://www.bohrpub.com/journals/BIJDMBD/Vol1N1/BIJDMBD_20201101.pdf}, volume = 1, year = 2020 }