Application of Decision Trees for Quality Management Support

2018 ◽  
pp. 67-78
Author(s):  
Rafal Cupek ◽  
Adam Ziebinski ◽  
Marek Drewniak
Keyword(s):  
Quality Management ◽  
Decision Trees ◽  
Management Support

An Empirical Study on TQM Practices and its Influence on Employee Satisfaction and Performance in Technical Institutions: Teachers' Perspectives

2018 ◽  
Vol 3 (3) ◽  
pp. 169-178
Author(s):  
Ch. V. V. S. N. V. Prasad ◽  
Rohit Prabhudesai
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Employee Satisfaction ◽  
Employee Performance ◽  
Team Work ◽  
Customer Relationships ◽  
Education Sector ◽  
Management Support ◽  
Total Quality ◽  
Service Oriented

Objective - Employee satisfaction and employee performance are critical to a service-oriented organization and its performance. Employees play a crucial role in the successful delivery of service and maintaining customer relationships in service oriented organizations. Satisfied employees in general perform better in service delivery as compared to unsatisfied employees. Employee satisfaction, in turn, results from total quality management initiatives such as top management support, employee training, employee participation, employee rewards, and team work that enable employees to provide better customer service. While the relationship of TQM practices and employee satisfaction has been tested in other service sectors, it has not been explored in the education sector. The objective of this paper is to investigate how TQM practices have an impact on employee satisfaction and employee performance within the context of technical institutions in India. Methodology/Technique - The data is collected from 250 teaching faculties of technical institutions in the southern states of India. Findings - The results of the study confirm that TQM practices are significantly positive predictors of employee satisfaction, which in turn contributes to better employee performance within the educational sector in India. Novelty - This study contributes to the development of literature by empirically testing the link between TQM practices and employee satisfaction and employee performance within the context of the education sector. Type of Paper: Empirical. Keywords: Total Quality Management; Employee Satisfaction; Employee Performance; Technical Institutions. JEL Classification: A20. A29.

Developing and validating a total quality management model for healthcare organisations

2015 ◽  
Vol 27 (5) ◽  
pp. 544-564 ◽  
Author(s):  
Ali Mohammad Mosadeghrad
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Quality Management System ◽  
Customer Management ◽  
Successful Implementation ◽  
Management Support ◽  
Total Quality ◽  
Content Type ◽  
Validated Questionnaire ◽  
Management Techniques

Purpose – The purpose of this paper is to develop a total quality management (TQM) model for healthcare organisations and validate it using a sample of Iranian healthcare organisations. Design/methodology/approach – A validated questionnaire was used to collect data from all healthcare organisations that implemented TQM in Isfahan province, Iran. Findings – Using the proposed model, TQM implementation was measured in healthcare organisations. The level of TQM success in Isfahan healthcare organisations was medium. The highest score was achieved in the dimension of “customer management”, followed by “leadership” and “employee management”. Employee management, information management, customer management, process management and leadership had the most positive effect on TQM success. Using a series of quality management techniques had “synergistic” effect on TQM success. Practical implications – Top management support, effective management of human resources, full involvement of the entire workforce including physicians, education and training, team working, continuous improvement, a corporate quality culture, customer focus and using a combination of management techniques under a quality management system are necessary for TQM successful implementation. Originality/value – A healthcare context-specific model of TQM was developed and tested and suggestions were provided for its successful implementation.

scholarly journals A Systematic Review of Lean Six Sigma Implementation in Food Industry

2019 ◽  
Vol 7 (4.14) ◽  
pp. 319
Author(s):  
Nurul Najihah Azalanzazllay ◽  
Sarina Abdul Halim Lim
Keyword(s):  
Systematic Review ◽  
Quality Management ◽  
Six Sigma ◽  
Food Industry ◽  
Success Factors ◽  
Resistance To Change ◽  
Lean Six Sigma ◽  
Management Approach ◽  
Management Support ◽  
Change Factors

Lean Six Sigma (LSS) is the most current quality management approach being applied recently in many industries to improve food quality and subsequently process excellence in the businesses. The objectives of this paper are to determine the barriers and resistance to change factors of implementing LSS approach in the food industry. This study was conducted as to determine the benefits of applying LSS and comparing the trend of quality management being used in the food industry. It is also based on the application of systematic review of 113 LSS articles, involving a structured approach of data collection and data extraction. The listed barriers and resistance to change factors shown are top management support, lack of quality improvement knowledge, poor training and insufficient skills amongst employees and lack of financial budget thus causing the limitation of LSS approach in the food industry. The result mapped the current quality management approaches implemented in the food industry. The academics and the food industry practitioners may have an insight from this paper by considering their critical success factors, barriers and resistance to change factors that could facilitate towards a successful LSS implementation.   

ISO 9001 2008 & CEN/TS 15224 2005

2015 ◽  
Vol 4 (2) ◽  
pp. 39-50 ◽  
Author(s):  
Antonia Mourtzikou ◽  
Marilena Stamouli ◽  
Elena Athanasiadi ◽  
Evaggelia Marasidi
Keyword(s):  
Professional Development ◽  
Quality Management ◽  
Health Services ◽  
Quality Management System ◽  
Health Sector ◽  
Continuing Professional Development ◽  
Iso 9001 ◽  
Management Support ◽  
Quality Management Systems ◽  
System Functioning

The need to implement a Quality Management System in health sector arises from the rising interest for quality in health services by patients, health personnel and society. ISO 9001:2008 and CEN/TS 15224: 2005 apply to health services and emphasize on quality. Their basic principles are customer focus, leadership, involvement of all stakeholders, task-based approach, cooperation of all sectors for quality through information, mutually beneficial relationship with suppliers, continuous improvement, and European harmonization. The implementation of quality management systems in health services is complex due to special characteristics. Moreover, human resources include many different specialties and management/support staff, dedicated and essential to effective health system functioning. Continuing medical education and Continuing Professional Development are important components of professional development and competence, enabling continuous ongoing instruction of knowledge and skills for health professionals. Their outcomes and effects must always be measured and evaluated.

Total Quality Management in Tourism Companies

2013 ◽  
Vol 4 (3) ◽  
pp. 1-15
Author(s):  
Alaa Hussein Ali Alsrabi
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Team Work ◽  
Top Management ◽  
Hotel Management ◽  
Management Support ◽  
Total Quality ◽  
Top Management Support ◽  
High Level ◽  
The Impact

This study is to identify the extent of interest and convinced top management of hotels and application levels of Total Quality Management, as well as prepare and accept the application of Total Quality Management, and indicate the top management support for the application of Total Quality Management And applying this to a sample of employees in high level management for a group of first-class hotels operating in the city of Riyadh, the study finds that the hotels surveyed apply total quality management in all its dimensions and a high level As results indicated when asked the sample of what considerations affecting about their conviction and willingness applying total quality management results were approved college about the need for a system of incentives appropriately lead to improved process quality tourism, and improve the competitive position of the hotels. When asked the sample over the impact of work teams the answers are as follows It is considered The study also concluded a set of recommendations and which ones need to find the appropriate information system will provide hotel management and Forums all the supporting data and information to activate the principle of making decisions based on facts and correct information that the formation of a team work helps to solve various problems.

Total Quality Management in Tourism Companies

2014 ◽  
pp. 1209-1223
Author(s):  
Alaa Hussein Ali Alsrabi
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Team Work ◽  
Top Management ◽  
Hotel Management ◽  
Management Support ◽  
Total Quality ◽  
Top Management Support ◽  
High Level ◽  
The Impact

This study is to identify the extent of interest and convinced top management of hotels and application levels of Total Quality Management, as well as prepare and accept the application of Total Quality Management, and indicate the top management support for the application of Total Quality Management And applying this to a sample of employees in high level management for a group of first-class hotels operating in the city of Riyadh, the study finds that the hotels surveyed apply total quality management in all its dimensions and a high level As results indicated when asked the sample of what considerations affecting about their conviction and willingness applying total quality management results were approved college about the need for a system of incentives appropriately lead to improved process quality tourism, and improve the competitive position of the hotels. When asked the sample over the impact of work teams the answers are as follows It is considered The study also concluded a set of recommendations and which ones need to find the appropriate information system will provide hotel management and Forums all the supporting data and information to activate the principle of making decisions based on facts and correct information that the formation of a team work helps to solve various problems.

Data Quality Analysis based Machine Learning models for Credit Card Fraud Detection

2021 ◽  
Vol 23 (06) ◽  
pp. 318-344
Author(s):  
Amit Pundir ◽  
◽  
Rajesh Pandey ◽  
Keyword(s):  
Data Mining ◽  
Random Forest ◽  
Quality Management ◽  
Data Quality ◽  
Decision Trees ◽  
Credit Card ◽  
Fraud Detection ◽  
Data Quality Management ◽  
Credit Card Fraud ◽  
Logistics Regression

Misrepresentation of money is a developing issue in monetary business with far-reaching consequences and keeping in mind that many processes have been found. Data quality management with data mining has been effectively applied to data sets to mechanize the investigation of massive amounts of complex information. Data mining has likewise played a notable role in identifying credit card fraud in online exchanges. Fraud detection in credit cards is a data quality management issue that considered under data mining, tested for two important reasons — first, the profiles of ordinary and false practices habitually change, and also because of the explanation that charge card fraud information is exceptionally slow. This research paper examines the performance of Decision Trees, Logistics Regression, and Random Forest rely strategically on profoundly skewed credit card fraud data. The dataset of credit card transactions is sourced from Kaggle (a publically accessible dataset repository) with 284,807 transactions. These methods are applied to raw data values and data preprocessing techniques. Assessment of the performance of techniques depends on accuracy, sensitivity, specificity, precision, and recall. Results indicate the optimal accuracy for the decision trees, logistics regression, and random forest classifiers with 90.8%, 98.5%, and 99.1% respectively.

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