QUALITATIVE METHODS IN TOURISM RESEARCH

Course Description

This course provides an education on broader qualitative approaches/methodologies that students who want to do qualitative research in the field of tourism can be used with the necessary methods they will need. The course aims to introduce students to qualitative research methods and discuss the suitability of these methods for different research areas and research questions. The course will encourage students to try using the primary methods for qualitative data collection and analysis. Students will also be able to collect and analyze and report on qualitative research data. Moreover, students will discuss the challenges and opportunities of publishing qualitative research. At the end of this course, students will be able to select and use the main approaches to characterize qualitative research in different situations accurately.

QUALITATIVE METHODS IN TOURISM RESEARCH

Evaluation Tools (Active Term)

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Course outcomes

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Course Syllabus

Reference Books & Course Materials

1. 01 Creswell W.J. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, Fourth Edition, Sage Publishing: New Delhi
2. 02 Yin K. Y. (2003). Case Study Research: Design and Methods, Appliad Social Research Methods Series Vol. 5, Sage Publishing: UK.
3. 03 Academic Articles

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.

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