Total quality management and business excellence in services: The implications of all-inclusive pricing system on internal and external customer satisfaction in the Turkish tourism market

2006 ◽  
Vol 17 (7) ◽  
pp. 857-877 ◽  
Author(s):  
Erdogan Koc
Keyword(s):  
Quality Management ◽  
Customer Satisfaction ◽  
Total Quality Management ◽  
Total Quality ◽  
Business Excellence ◽  
Pricing System ◽  
External Customer

scholarly journals Análise sobre os conceitos e práticas de Gestão por Processos: revisão sistemática e bibliometria

2015 ◽  
Vol 22 (1) ◽  
pp. 164-180 ◽  
Author(s):  
Diego Rodrigues Iritani ◽  
Sandra Naomi Morioka ◽  
Marly Monteiro de Carvalho ◽  
Aldo Roberto Ometto
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Total Quality ◽  
Business Excellence

Este artigo tem como objetivo analisar a teoria sobre Gestão por Processos de Negócio (BPM - Business Process Management). Para isso foi realizada uma revisão bibliográfica sistemática e foram utilizadas técnicas de análise de publicações, citações e de bibliometria. Os resultados mostram a multidisciplinaridade de BPM, como as diferentes áreas de pesquisa compreendem o tema e como praticam essa abordagem. Dentre os periódicos relevantes para o tema, destacaram-se o Business Process Managament Journal, Knowlegde and Process Managemente Total Quality Management & Business Excellence. Dentre as abordagens de aplicação foi possível verificar que existem três tipos adotados pelo estudo e ao todo foram identificadas oito práticas de BPM. As redes de bibliometria mostraram a existência de agrupamentos bibliométricos que pouco interagem, e a relação de BPM com as abordagens de gestão da qualidade e reengenharia. Apesar do aumento de publicações na área, o que mostra a relevância do tema, as publicações tendem a seguir escolas distintas e que ainda atuam de forma isolada na área de BPM.

scholarly journals ANALISIS PENGARUH PENERAPAN TOTAL QUALITY MANAGEMENT (TQM) TERHADAP KINERJA KARYAWAN LABORATORIUM DI PT.X

2021 ◽  
Vol 7 (2) ◽  
pp. 114-119
Author(s):  
Niken Septiani Kurnia ◽  
Raden Faris Gumelar ◽  
Rifki Hidayattulloh
Keyword(s):  
Quality Management ◽  
Customer Satisfaction ◽  
Total Quality Management ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Primary Data ◽  
Total Quality ◽  
A Company ◽  
Clear Goal

A company is built of course with a clear goal, namely to get as much profit as possible, but this is not necessarily achieved easily, there are many things that companies need to pay attention to in order to achieve these goals. One of the aspects that can affect company revenue is customer satisfaction with the products produced, where the quality of the products produced needs to be considered because this is directly proportional to customer satisfaction. To achieve customer satisfaction, many things can be done by the company, one of which is the application of Total Quality Management (TQM) as done by PT. X, where the application of TQM aims to increase competitiveness which is done by continuous improvement so that it This can affect employee performance which is also directly proportional to product quality and company earnings. This study was conducted to prove whether the implementation of TQM by PT X affects employee performance or not. The approach used in this study uses linear regression analysis, where the data used is primary data obtained from questionnaires distributed to several respondents. The results showed that variable X had an effect on variable Y with a correlation coefficient of 0.598 and the decision was made that the application of TQM had an effect on employee performance.

scholarly journals The Effect of Quality Management and Big Data Management on Customer Satisfaction in Korea’s Public Sector

2020 ◽  
Vol 12 (13) ◽  
pp. 5474
Author(s):  
Gye-Soo Kim
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Quality Management ◽  
Customer Satisfaction ◽  
Total Quality Management ◽  
Data Management ◽  
Structural Equation ◽  
Equation Model ◽  
Research Model ◽  
Total Quality

Data-driven decision making is needed in uncertain situations. Total quality management is the source of quality management activities and customer satisfaction. This study is related to the investigation into the application of total quality management based on big data management on the public sector in Korea. We developed a research model for total quality management, and investigated the role of moderating big data management between total quality management leadership and quality management. Moreover, this study has examined the relationships between the practices of the total quality management and using big data, including customer needs and wants. The research model is developed and tested to fit it is with the SEM (Structural Equation Model) analysis using data 250 samples in Korea’s public sector. The survey was conducted between 1 August and 30 August 2019. The results are as follow: Total quality leadership has significantly impacted total quality management. Customer satisfaction was found to be significantly affected by total quality management activities. In addition, the level of big data management has the moderation effect between total quality leadership and total quality management in Korea public sectors. It is necessary to systematically manage data management in a situation where the demand for improvement of public service is gradually increasing online in public sector.

scholarly journals Development of a Framework for More Effective Implementation of Total Quality Management Principles in Apparel Manufacturing

2016 ◽  
Vol 12 (28) ◽  
pp. 472
Author(s):  
S.M. Rashadur Rahaman Setu ◽  
Md. Helal Hossain ◽  
Md. Tanjim Hossain ◽  
Jahid Sarkar
Keyword(s):  
Quality Management ◽  
Customer Satisfaction ◽  
Total Quality Management ◽  
Foreign Currency ◽  
Total Quality ◽  
Key Factors ◽  
Leadership Communication ◽  
Apparel Manufacturing ◽  
Effective Implementation ◽  
Job Opportunities

The purpose of this paper is to develop a model or framework of total quality management (TQM) implementation in Textile and RMG industry. Textile and RMG Industry is an important sector for Bangladesh in terms of industrial expansion of the country, earning foreign currency and creating job opportunities. However, it faces subtle problems due to labor unrest, political instability and owner’s ignorance. TQM is an approach that focuses on customer satisfaction. Therefore, implementation of TQM is a challenging task. Through a self-administrative survey from 50 Industries of textile and RMG industry in Bangladesh data have been collected. This paper identifies ten key factors of TQM implementation in the Textile and RMG Industry in Bangladesh. These are Leadership, Communication, Strategic Quality Planning, Training, Customer Satisfaction, Continuous Improvement, Employee Involvement & Satisfaction, Culture, Supplier Satisfaction and Teamwork.

scholarly journals PENGARUH IMPLEMENTASI TOTAL QUALITY MANAGEMENT TERHADAP KEPUASAN PELANGGAN

2019 ◽  
Vol 8 (12) ◽  
pp. 6931
Author(s):  
Arifin Al Amiri M ◽  
Kastawan Mandala
Keyword(s):  
Quality Management ◽  
Customer Satisfaction ◽  
Total Quality Management ◽  
Continuous Improvement ◽  
Operations Management ◽  
Total Quality ◽  
Customer Data ◽  
Variable Focus ◽  
Positive Effect

This research was conducted at Kober Mie Setan. The number of samples taken as many as 150 people Kober Mie customer. Data collection done through questionnaires. Based on the results of the analysis it wasfound that the variable focus on customers, obsession with quality, teamwork and continuous improvement simultaneously had significant effect on customer satisfaction. The results of testing the partial test hypothesis revealed that each variable focused on the customer, obsession with quality, teamwork and continuous improvement had a significant positive effect  customer satisfaction. From the results of the partial test it is known that the focus variable on the customer is the most dominant variable affecting customer satisfaction. The coefficient determination of 0.731 shows that 73.1 percent variations in customer satisfaction can be explained by four independent variables used  the regression equation, while the sisas are 26.9 percent explained other variables outside the four variables used  this study. Keywords: customer satisfaction, operations management, total quality management

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