Dr. Xinran Lehto

Professor

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Biography

Xinran Lehto is a Professor at the White Lodging-J.W. Marriott, Jr. School of Hospitality and Tourism Management at Purdue University. She serves on the Research Council and the Faculty Affairs Committee within the College of Health and Human Sciences. Lehto has held editorial positions, including co-editor of the Journal of Destination Marketing Management and associate editor of the Journal of Hospitality and Tourism Research. Prior to her tenure at Purdue University, she was an assistant professor at Colorado State University and worked for six years as a marketing executive in the travel and tourism industry in China and Singapore. Her research centers on enhancing consumer well-being through optimal service experiences in tourism and hospitality, focusing on the planning and marketing of experience-based vacation products. Her work examines how personal, interpersonal, technological, and cultural factors influence tourism experience design. Lehto has published extensively in prestigious journals such as the Annals of Tourism Research and Tourism Management, with a significant citation record, including over 13,500 citations. She has actively disseminated her research at numerous international conferences and has collaborated with community agencies to develop strategies for tourism services. By integrating wellness principles into tourism marketing, she seeks to positively impact the industry and society.

Research Interests

Courses

HTM231 - Hospitality Tourism Marketing HTM173 - Introduction to Tourism Management HTM501 - Research Methodology in Hospitality and Tourism Management HTM399 - Applications of Data Visualization in Marketing

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.