Abstract
This paper examines key factors for effective Total Quality Management (TQM) implementation in service industries and investigates the resulting benefits. Utilizing a mixed-methods approach, data were collected via questionnaires and interviews with top management, supervisors, employees, and customers of a South African service company. Results show that most TQM principles were practiced in the organization, but full benefits were not realized due to limited top management commitment and low staff awareness of TQM principles. Recommendations include consistent customer feedback collection, clear communication of short- and long-term objectives to employees, and provision of necessary training resources. Implementing these suggestions will enable the company and other organizations (both service and manufacturing) to fully benefit from TQM and maintain a competitive edge in the market.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1768-1772 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350323153 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore Duration: 18 Dec 2023 → 21 Dec 2023 |
Publication series
| Name | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 18/12/23 → 21/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Customer satisfaction
- Service Quality
- Service industry
- Total Quality Management
ASJC Scopus subject areas
- Artificial Intelligence
- Decision Sciences (miscellaneous)
- Statistics, Probability and Uncertainty
- Industrial and Manufacturing Engineering
- Modeling and Simulation
- Strategy and Management
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