Environment and Social Psychology

Social psychological determinants of consumer experience in smart elderly care environments

Tianlong Sun

Krirk University, Bangkok,10220, Thailand

DOI: https://doi.org/10.59429/esp.v10i2.3500

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Abstract

Smart elderly care represents a dynamic intersection of technology, service delivery, and environmental influence. This study adopts a social psychology perspective to explore how service quality, interaction dynamics, security assurance, and brand effect - when viewed through the lens of social identity and environmental psychology - affect consumer experience in smart elderly care settings. By integrating theories of self-efficacy and social exchange, the research examines how both the physical and social environments contribute to the elderly’s sense of well-being, belonging, and trust. The findings offer vital insights for designing care environments that not only meet functional needs but also foster social cohesion and psychological comfort.

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References

[1]. 1. Feng, W. (2024). The current development status, issues, and coping strategies of smart elderly care in China. Journal of Chongqing University of Technology, (6), 1-10.

[2]. 2. Xu, C. (2015). Building a “nursing home without walls”: A new experience in smart elderly care. Shanghai Informatization, (1), 46-48.

[3]. 3. Ghasemi, F. R., Rahmani, A. M. (2019). A structural and behavioral reference model for IoT-based elderly healthcare systems in smart home. International Journal of Communication Systems, 32(12): 101-109.

[4]. 4. Yuan, W. (2020). An analysis of factors influencing consumer experience from the perspective of new retail. Commercial Economic Research, (4), 78-80.

[5]. 5. Zhou, P. E., Lu, C. S., & Chang, Y. H. (2014). Effects of service quality and customer satisfaction on customer loyalty in high-speed rail services in Taiwan. Transportmetrica A-Transport Science, 10(10): 917-945.

[6]. 6. Luo, J. (2018). A review of the relationship between brand attachment, brand commitment, and customer loyalty. Frontiers of Social Sciences, 7(4), 400-405.

[7]. 7. Wang, Y., & Wang, H. (2021). A study on consumer behavior regarding brand preference. Frontiers of Social Sciences, 10(5), 1403-1409.

[8]. 8. Li, Z. (2019). A study on consumer experience marketing in the e-commerce environment. Chinese and Foreign Entrepreneurs, (29), 74-75.

[9]. 9. Guo, G., & Sun, N. (2012). An empirical study on the impact of perceived interaction types on experience value under the mediation of new entrant adaptation. Management Review, 24(12), 72-83.

[10]. 10. Dang, Y., Pu, X., & Sun, J. (2017). The operational quality and improvement paths of the current community home care services: Reflections based on a survey of ten thousand questionnaires in City C. Journal of Beihua University, (5), 62-69.

[11]. 11. Ge, W. (2023). The impact of online interaction on consumers’ purchase intentions and marketing insights. Modern Business, (8), 48-51.

[12]. 12. Liu, J. (2011). Online shopping consumer safety assurance and solutions. Monthly Journal of Science and Technology Entrepreneurship, (2), 136-139.

[13]. 13. Han, D., & Li, L. (2023). The impact of consumer purchase intention and brand effect on the performance of organic agricultural product retail enterprises. Commercial Economic Research, (19), 65-72.

[14]. 14. Schmitt, B. H. (1999). Experiential Marketing: How to Get Customers to Sense, Feel, Think, Act, Relate to Your Company and Brands. Free Press.

[15]. 15. Hinkin, T. R. (2019). A brief primer on the use of Cronbach’s alpha for reliability assessment. Journal of Management, 45(2), 723-729.

[16]. 16. Evans, J. D. (2012). Straightforward statistics for the behavioral sciences: T-tests, ANOVAs, regression, and beyond. Plymouth, UK: Jason Aronson.

[17]. 17. Lu, J., & Wang, L. (2010). Service brand building based on consumer experience. China Business Review, (19), 12-15.

[18]. 18. Ma, Y. (2013). The impact of insecurity on consumer purchasing behavior and an analysis of marketing strategies. Foreign Trade and Economics, (8), 117-118.

[19]. 19. Mu, J., Liu, S., & Dai, W. (2016). The mechanism of trust formation in food safety from the perspective of perceived risk. Enterprise Economy, (4), 78-80.

[20]. 20. Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of Consumer Research, 9, 183-194.

[21]. 21. Solomon, M. R., Surprenant, C., Czepiel, J. A., & Gutman, E. G. (1985). A role theory perspective on dyadic interactions: The service encounter. Journal of Marketing, 49(1), 99-111.

[22]. 22. Dinev, T., & Hart, P. (2013). Internet privacy concerns and their determinants: A comparison of alternative measurement approaches. Journal of the Association for Information Systems, 14(1), 1-40.

[23]. 23. Berger, J. (2014). Word of mouth and online reviews: The impact of word-of-mouth on consumer decision-making. Marketing Science, 33(6), 1053-1069.

[24]. 24. Bandura, A. (1978). Self-efficacy: Toward a unifying theory of behavioral change. Advances in Behaviour Research and Therapy, 1(4), 139–161.

[25]. 25. Bandura, A., & National Inst of Mental Health. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.

[26]. 26. Kavanagh DJ. Stress, Appraisal, and CopingS. Lazarus and S. Folkman, New York: Springer, 1984, pp. 444, $31.95. Behavioral and Cognitive Psychotherapy. 1986;14(4):345-345. doi:10.1017/S0141347300015019

[27]. 27. Erikson, E. H. (1950). Childhood and Society. W. W. Norton & Company.

[28]. 28. Biddle, B. J. (1986). Recent developments in role theory. Annual Review of Sociology, 12, 67–92.

[29]. 29. Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63, 597–606. https://doi.org/10.1086/222355

[30]. 30. Blau, P. M. (2017). Exchange and power in social life (2nd ed.). Routledge. https://doi.org/10.4324/9780203792643