A machine learning-based assessments of customer satisfaction levels in Indian Postal Services (ML-ACSLIPS) for selected Tamilnadu districts from social media content
T. Sangeetha and B. Subatra
| Year of publication: |
2023
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|---|---|
| Authors: | Sangeetha, T. ; Subatra, B. |
| Published in: |
International journal of financial engineering. - Singapore [u.a.] : World Scientific, ISSN 2424-7944, ZDB-ID 2832512-6. - Vol. 10.2023, 4, Art.-No. 2350029, p. 1-21
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| Subject: | All India Postal Employees Union | challenges | Customer satisfaction | Department of Post | globalization | India Postal Services | locations registered post | parcels | service quality | speed post | transformation | Universal Service Obligation | Indien | India | Kundenzufriedenheit | Postsektor | Postal sector | Dienstleistungsqualität | Service quality | Universaldienst | Universal service | Social Web | Social web |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S2424786323500299 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014444708