Search results

1 – 3 of 3
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 12 September 2016

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…

1588

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

Journal of Consumer Marketing, vol. 33 no. 6
Type: Research Article
ISSN: 0736-3761

Keywords

Access Restricted. View access options
Article
Publication date: 14 March 2016

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’…

1488

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

Journal of Service Theory and Practice, vol. 26 no. 2
Type: Research Article
ISSN: 2055-6225

Keywords

Access Restricted. View access options
Article
Publication date: 20 March 2024

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…

285

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.

Details

Data Technologies and Applications, vol. 58 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

1 – 3 of 3
Per page
102050