Ekrem Tufan
Çanakkale School of Applied Sciences, Çanakkale Onsekiz Mart University, Çanakkale, TURKEY
Sezer Deniz
Faculty of Tourism, Çanakkale Onsekiz Mart University, Çanakkale, TURKEY 
İrem Ceylan Karagöz
Faculty of Tourism, Balıkesir University, Balıkesir, TURKEY
Erhan Eren
Faculty of Tourism, Çanakkale Onsekiz Mart University, Çanakkale, TURKEY 
Duygu Nedret Tüter
​Faculty of Tourism, Çanakkale Onsekiz Mart University, Çanakkale, TURKEY 
DOI: https://doi.org/10.31410/eraz.2018.657

4th International Conference – ERAZ 2018 – KNOWLEDGE BASED SUSTAINABLE ECONOMIC DEVELOPMENT, Sofia- Bulgaria, June 7, 2018, CONFERENCE PROCEEDINGS published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia;  Faculty of Business Studies, Mediterranean University – Podgorica, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; Faculty of Applied Management, Economics and Finance – Belgrade, Serbia, ISBN 978-86-80194-12-7

Abstract

It has shown that people perceived facial expressions as the richest source of information about other’s emotions. Facial expressions are significant for communications among people and it contain universal symbols of emotions and thoughts. People are easily and unconsciously tend to make inferences about strangers and a simple glance of face is sufficient to do so. The appearance of people especially the facial expressions are also important in working area. For instance, such smile intensity in photos or a simple facial gesture can help individual to be employed and earn more than average. In the sectors such as tourism and banking where people communicate face to face, macho or not macho faces employees may have an influence on the customers. In this context, we have aimed to analyze the effects of macho or not macho faces on costumers in both tourism and banking sectors


Key words

Facial expression, Macho faces, Banking and Tourism sector


References

  1. Ekman, P. (2009). Darwin’s contributions to our understanding of emotional expressions. Philosophical Transactions of the Royal Society B: Biological Sciences364(1535), 3449-3451.
  2. Bayrakdar, S., Akgün, D., & Yücedağ, İ. (2016). Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi20(2), 383-398.
  3. Mehrabian, A., & Ferris, S. R. (1967). Inference of attitudes from nonverbal communication in two channels. Journal of consulting psychology31(3), 248.
  4. Mehrabian, A. (2009). Nonverbal Communication. A division of Transaction Publishers, New Brunswick (U.S.A.) and London (U.K). 3rd edition
  5. Ekman, P., & Friesen, W. V. (1971). Constants across cultures in the face and emotion. Journal of personality and social psychology17(2), 124.
  6. Knyazev, G. G., Bocharov, A. V., Slobodskaya, H. R., & Ryabichenko, T. I. (2008). Personality-linked biases in perception of emotional facial expressions. Personality and individual differences44(5), 1093-1104.
  7. Persad, S. M., & Polivy, J. (1993). Differences between depressed and nondepressed individuals in the recognition of and response to facial emotional cues. Journal of abnormal psychology102(3), 358.
  8. Todorov, A., Olivola, C. Y., Dotsch, R., & Mende-Siedlecki, P. (2014). Social attributions from faces: Determinants, consequences, accuracy, and functional significance. Annual Review of Psychology66.
  9. Asch, S. E. (1946). Forming impressions of personality. The Journal of Abnormal and Social Psychology41(3), 258.
  10. Thorndike, E. L. (1920). A constant error in psychological ratings. Journal of applied psychology4(1), 25-29.
  11. Shahani-Denning, C. (2003). Physical attractiveness bias in hiring: What is beautiful is good. Hofstra Horizon, 14-17.
  12. Pfeifer, C. (2011). Physical attractiveness, employment and earnings. Applied Economics Letters19(6), 505.
  13. Lin, C., Adolphs, R., & Alvarez, R. M. (2017). Cultural effects on the association between election outcomes and face-based trait inferences. PloS one12(7), e0180837.
  14. Todorov, A., Mandisodza, A. N., Goren, A., & Hall, C. C. (2005). Inferences of competence from faces predict election outcomes. Science308(5728), 1623-1626
  15. Todorov, A., Fiske, S., & Prentice, D. (Eds.). (2011). Social neuroscience: Toward understanding the underpinnings of the social mind. Oxford University Press.
  16. Mende-Siedlecki, P., Said, C. P., & Todorov, A. (2012). The social evaluation of faces: a meta-analysis of functional neuroimaging studies. Social cognitive and affective neuroscience8(3), 285-299.
  17. Zebrowitz, L. A. (2017). First impressions from faces. Current directions in psychological science26(3), 237-242.
  18. Simon, H. A. (1959). Theories of decision-making in economics and behavioral science. The American economic review49(3), 253-283.
  19. Pfeifer, C. (2011). Physical attractiveness, employment and earnings. Applied Economics Letters, 19(6), 510.
  20. Sierminska, E. (2015). Does it pay to be beautiful, Institute for the study of Labor. World Of Labor. doi: 10.15185/izawol.161. ​