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Fu­miko Kano Glück­stad

Associate Professor

Emner
Forbrugeradfærd Kultur Japan Psykologi Identitet

Primary research areas

Consumer psychology

Consumer segmentation & segment-specific consumer analysis

Psychology of beauty

Personal values, self-concept, and consumptions

Cross-Cultural Cognition and Communication

Mental representations (mental images, brand/destination images)

Semantic alignment across cultures

Interdisciplinary Research

Social media analysis: application of machine learning and natural language processing to social sciences in particular focus on tourism and beauty related consumer data

How do we shape society — and how does society shape us?

I am an interdisciplinary researcher specializing in consumer psychology. I was trained as a psychologist and hold a PhD in semantics and natural language processing. 

My recent research has focused on the psychology of beauty—that is, what it means for a person to be considered beautiful across different cultural contexts. I classify consumers and analyze the antecedents and consequences of their behaviors using data from surveys, social media, and experiments. I am particularly interested in how globally accessible visual digital content and culture-specific norms interactively shape self-image, emotions, well-being, and behavior.

My works have appeared in top-rank journals such as Tourism Management, Journal of Business Research, Journal of Cross-Cultural Psychology, Journal of Consumer Behaviour, and I was the recipient of best excellent paper awards at the largest conferences in Marketing and Tourism.  

 

Recent research projects

Intercultural Personas of Beauty & Values (iBeauty)

An industry-academic research project, developing a theoretical framework - personal beauty values - in close collaboration with the third largest Japanese cosmetic company, KOSE Corporation. (2020-2024)

Cool Japan – Smart Denmark Initiative: Integration of data sciences in the tourism research (Cool Japan)

The network initiative addresses the tourism in which the innovative and intelligent integration of data sciences is a key for future progress. Funded by International Network Program (2018-2019)

Understanding Mindsets across Markets Internationally (UMAMI)

Developing a data analytic framework combining value-based consumer segmentation algorithms with algorithms to capture consumers’ destination images. Funded by Innovation Fund Denmark (2017-2020)

Global English as International Business Language: The Importance of Mother Tongue on Speech, Reception, and Association (Global English)

The project investigates how non-native English speakers from China, Japan, Russia, Denmark, and Spain respectively associate with selected English words. Funded by Carlsberg Foundation (2013-2017)