Qiuying Zheng, Lan Xia and Xiucheng Fan
This paper aims to explore the distinctions and similarities about Eudaimonia (a deeper pleasure beyond the hedonic enjoyment) and hedonic enjoyment, especially the influencing…
Abstract
Purpose
This paper aims to explore the distinctions and similarities about Eudaimonia (a deeper pleasure beyond the hedonic enjoyment) and hedonic enjoyment, especially the influencing factors of Eudaimonia.
Design/methodology/approach
Survey and experiment are conducted to obtain the data. Structural equation modeling, confirmatory factor analysis and analysis of variance are used to analyze the data.
Findings
Three empirical studies support the idea that Eudaimonia, as a deeper-level pleasure, is a distinct construct from hedonic enjoyment. Like hedonic enjoyment, Eudaimonia can lead to satisfaction. Unlike hedonic enjoyment, Eudaimonia is driven by effort. Moreover, the effort impact on Eudaimonia is enhanced by the uniqueness of the craft task.
Originality/value
This paper shifts hedonic consumption studies from a product-based paradigm (e.g. utilitarian vs hedonic) to an experience-based paradigm (hedonic enjoyment vs Eudaimonia). The extension of pleasure to Eudaimonia domain successfully explains why prior hedonic consumption studies find that pleasure is more than the absence of effort and can be more inspiring than purely sensory.
Details
Keywords
Qiuying Zheng, Tang Yao and Xiucheng Fan
The purpose of this paper is to explore the dynamics of online health care communities and the impact of two-way online social support on customers’ well-being and patients’…
Abstract
Purpose
The purpose of this paper is to explore the dynamics of online health care communities and the impact of two-way online social support on customers’ well-being and patients’ quality of life, at different social exclusion levels.
Design/methodology/approach
An online survey in China’s Anti-Hepatitis B Online Community includes 326 respondents. A combined hierarchical regression analysis and structural equation model test the hypotheses.
Findings
Both receiving and giving online social support, as reciprocal altruism behaviors, enhance patients’ well-being. Receiving online social support influences psychological well-being most; giving has the largest impact on existential domains. Social exclusion boosts the benefits of giving online social support but attenuates the benefits of receiving it.
Research limitations/implications
This research focusses on the effects of online social support among socially excluded patients. Extensions could rely on objective instead of subjective measures and alternative methodologies to test the underlying processes. Additional insights could derive from a bidirectional perspective.
Practical implications
Medical treatment institutions should leverage customer resources; health care providers should prioritize patients who feel socially excluded as effective online support providers. Health care community administrators can use several means to convince patients to contribute to communities.
Originality/value
Social support in online health care communities is a collaborative service that uses customers as service resources. This study explains the collaborative service and how customers feel about their bidirectional roles. It also extends reciprocal altruism research to a health information technology realm by systematically exploring how giving, vs receiving, online social support affects customers’ well-being.
Details
Keywords
Qiuying Chen, Ronghui Liu, Qingquan Jiang and Shangyue Xu
Tourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in…
Abstract
Purpose
Tourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in product/service planning, marketing communication and attracting and retaining tourists. This research employs Hofstede's cultural dimensions theory to analyse the variations in destination image perceptions of Chinese-speaking and English-speaking tourists to Xiamen, a prominent tourist attraction in China.
Design/methodology/approach
The evaluation utilizes a two-stage approach, incorporating LDA and BERT-BILSTM models. By leveraging text mining, sentiment analysis and t-tests, this research investigates the variations in tourists' perceptions of Xiamen across different cultures.
Findings
The results reveal that cultural disparities significantly impact tourists' perceived image of Xiamen, particularly regarding their preferences for renowned tourist destinations and the factors influencing their travel experience.
Originality/value
This research pioneers applying natural language processing methods and machine learning techniques to affirm the substantial differences in the perceptions of tourist destinations among Chinese-speaking and English-speaking tourists based on Hofstede's cultural theory. The findings furnish theoretical insights for destination marketing organizations to target diverse cultural tourists through precise marketing strategies and illuminate the practical application of Hofstede's cultural theory in tourism and hospitality.