Abstract
The purpose of this paper is to comprehend workers’ happiness and the elements of their emotional and environmental effects in work places. In pilot study using Positive Psychology and Kansei engineering, the method to measure general happiness index from seven emotional components was proposed. This paper intends to verify the stability of the method from different viewpoints such as employment categories. The pilot study also extracted 121 items concerned with workers’ happiness. The issue of this paper is to verify robustness of the method to measure the happiness index by using factor analysis from the subjective data of the given basic questionnaires. Based on a sample of 9,654 respondents, this study was set out to identify whether seven emotional components based on the PERMA model. Then, influence of the extracted 121 items to the estimated general happiness is analyzed using stepwise regression method from the data. The analysis also indicates the validity the method to select important items for representing workers’ happiness.
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Notes
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Positive Psychology Center at the University of Pennsylvania web page, http://ppc.sas.upenn.edu.
References
Seligman, M.E.P.: Authentic Happiness: Using the New Positive Psychology to Realize Your Potential for Lasting Fulfillment. Free Press, New York (2002)
Seligman, M.E.P.: Flourish: A Visionary New Understanding of Happiness and Well-Being. Simon & Schuster, New York (2011)
Gerdtham, U.G., Johannesson, M.: The relationship between happiness, health and socioeconomic factors: results based on Swedish microdata. J. Socio-Econ. 30(6), 553–557 (2011)
Kawamoto, R., Yamada, A., Okayama, M., Tsuruoka, K., Satho, M., Kajii, E.: Happiness and background factors in community-dwelling older persons. Nihon Ronen Igakkai Zasshi, Jpn. J. Geriatr. 36(12), 861–867 (1999)
Ryan, R.M., Deci, E.L.: To be happy of to be self-fulfilled: a review of research on hedonic and eudemonic wellbeing. In: Fiske, S. (ed.) Annual Review of Psychology, vol. 52, pp. 141–166. Annual Reviews/Inc., Palo Alto (2001)
Nagamachi, M.: Kansei/Affective Engineering. CRC Press, Taylor & Francis Group, Boca Raton (2011)
Lokman, A.: Pengenalan Rekayasa Kansei. Dewan Bahasa dan Pustaka, Kuala Lumpur (2017)
Susniene, D., Jurkauskas, A.: The concept of quality of life and happiness-correlation and differences. J. Engine Econ. 3, 58–66 (2009)
Hefferon, K., Boniwell, I.: Positive Psychology: Theory, Research and Applications. McGraw-Hill, London (2011)
Tsuchiya, T., et al.: Relationship between workers’ general happiness and emotional components @ PERMAIg©. In: 7th International Conference on Kansei Engineering & Emotion Research 2018 (KEER 2018), pp. 878–884 (2018)
Othman, A.K., et al.: Conceptualization of happiness index model. In: 7th International Conference on Kansei Engineering & Emotion Research 2018 (KEER 2018), pp. 833–838 (2018)
Mohd, I.H., et al.: From PERMA to PERMAIg©: happiness instrument development. In: 7th International Conference on Kansei Engineering & Emotion Research 2018 (KEER 2018), pp. 846–854 (2018)
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Tsuchiya, T. (2020). Investigation of Happiness Index by Kansei Engineering and Positive Psychology. In: Fukuda, S. (eds) Advances in Affective and Pleasurable Design. AHFE 2019. Advances in Intelligent Systems and Computing, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-20441-9_36
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DOI: https://doi.org/10.1007/978-3-030-20441-9_36
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