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    Predictors of Subjective Health Among Spouses and Its Relations With Happiness: A Multilevel Analysis in a Nationwide Survey in Turkey
    (Springer, 2024) Tosyali, Furkan; Coban-Tosyali, Ezgi; Harma, Mehmet
    The current study aims to examine predictors of subjective health, including its relation with happiness, at the individual and family levels. For this purpose, we analyzed data collected from spouses representing each family (9,634 families, N = 19,268). A multilevel analysis was conducted to examine both individual- and family-level variables associated with subjective health evaluations. Individual-level variables were gender, age, education, employment, presence of chronic illness, smoking, alcohol use, and individual happiness. Family-level variables were socioeconomic status, number of children, household size, length of the marriage (in a year), presence of an elderly person who needs care in the household, presence of a disabled person who needs care in the household, and family happiness. The results showed that subjective health is enhanced by being man, younger, employed, highly educated, free from chronic illness, and experiencing greater levels of happiness at the individual level. In addition, poorer subjective health is associated with caring for an elderly or disabled family member and having a higher number of children in the household at the family level. However, individuals had better subjective health at the family level when socioeconomic status was higher, greater family happiness, and greater household size existed. The current study is important since research that simultaneously considers individual- and family-level happiness has been scarce in the literature. Thus, the findings would enhance the current understanding of the link between happiness and health.
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    Role of tourist-chatbot interaction on visit intention in tourism: the mediating role of destination image
    (Routledge Journals, Taylor & Francis Ltd, 2023) Tosyali, Hikmet; Tosyali, Furkan; Coban-Tosyali, Ezgi
    The current research examined the link between the informativeness of tourist-chatbot interaction, destination image, and visit intention in two studies. In the first study, 111 participants were asked to interact with ChatGPT about a destination (i.e. Batumi) for 5-10 min. The conceptual model was analyzed using the Structural Equation Modelling framework. Findings suggested that the informativeness of tourist-chatbot interaction would increase destination image and visit intention. Destination image was also directly and positively related to visit intention. Specifically, destination image mediated the link between the informativeness of tourist-chat bot interaction and visit intention. A second study (N = 184) was conducted, in which the entire procedure was the same as the first study, to test the replicability of the current findings. Consequently, all results remained consistent with the first study. This is the first study to show the mediating role of destination image in the link between human-machine interaction and visit intention in tourism research. Thus, the findings would expand the current understanding regarding the role of human-machine interaction on attitude and behaviour.