TOTAL QUALITY MANAGEMENT

Course Description

Total Quality Management (TQM) is a comprehensive and fundamental quality policy that aims continuous improvement. This course focuses on total quality concepts and total quality approach for decision making. In addition to presenting various Total Quality Management concepts and quality improvement tools, importance of customer focus, team formation and problem solving are also underlined. The key actions that highlights importance of quality through planning, design and control are discussed. Up-to-date quality standards and award models are discussed and criticized using real life cases. Aim of the course is to give total quality concept to the students. Also the course explains total quality management decision methods.

TOTAL QUALITY MANAGEMENT

Evaluation Tools (Active Term)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Foster, Thomas. (2010). Managing Quality. Prentice Hall, ISBN-10: 0136088503, ISBN-13: 9780136088509.
2. 02 Aikens, C. Harold (2011). Quality Inspired Management: The Key to Sustainability, Prentice Hall, ISBN-10: 0131197568, ISBN-13: 9780131197565.
3. 03 Besterfield, Dale H. (2003). Total Quality Management, 3/E. Prentice Hall, ISBN-10: 0130993069, ISBN-13: 9780130993069.
4. 04 Goetsch, David L. and Stanley Davis. (2006). Quality Management, 5/E, Prentice Hall, ISBN-10: 0131189298, ISBN-13: 9780131189294.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Demonstrate mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
2. Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
3. Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
4. Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
5. Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
6. Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
7. Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
8. Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
9. Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
10. Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
11. Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
12. Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.

Po-Lo Matrix

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