Understanding Chinese tourists' food consumption in the United States

Wu, Kaiyang; Raab, Carola; Chang, Wen-Chih; Krishen, Anjala S.

doi:10.1016/j.jbusres.2016.04.018

Cited by 74 publications

(67 citation statements)

References 44 publications

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“…This is much lower than the 50% threshold suggested by Podsakoff et al (2003). Nevertheless, although a widely applied technique (Wu, Raab, Chang, & Krishen, 2016), due to criticisms against the effectiveness of Harman's one-factor test for detecting CMV (Fuller et al, 2016), the more rigorous technique of marker variable was applied (Lindell & Whitney, 2001;Zeugner-Roth & Žabkar, 2015). More precisely, since we did not designate ex ante a theoretically unrelated marker variable in the questionnaire, the post-hoc marker variable approach was considered (Lindell & Whitney, 2001;Santos-Vijande, López-Sánchez, & Rudd, 2016;Wamba, Bhattacharya, Trinchera, & Ngai, 2017).…”

Section: Common Methods Variancementioning

confidence: 69%

Understanding entrepreneurial intentions: A developed integrated structural model approach

Esfandiar

Sharifi-Tehrani

Pratt

et al. 2019

Journal of Business Research

349

303

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The primary objective of this study is to develop the pioneering version of Krueger's (2009) integrated model of entrepreneurial intention (EI) and to empirically test the new model in explaining individuals' intentions of entrepreneurial activities. The data were collected by the self-reported in-person and electronic questionnaires from a population of tourism students from several universities in Iran. The results of partial least squares estimations indicate that desirability is the main determinant of entrepreneurial goal intention (EGI), followed by selfefficacy, feasibility, opportunity, attitude, and collective-efficacy, while social norms do not influence EGI. Also, EGI strongly influences entrepreneurial implementation intention. Concerning the modification effect, the impact of perceived opportunity on EGI tends to increase when an individual has a high propensity to act. The findings provide policy makers with important insights into how to nurture tourism students' EIs through educational programs.

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Section: Common Methods Variancementioning

confidence: 69%

Understanding entrepreneurial intentions: A developed integrated structural model approach

Esfandiar

Sharifi-Tehrani

Pratt

et al. 2019

Journal of Business Research

349

303

View full text Add to dashboard Cite

show abstract

“…Various studies exploring visit and revisit intentions and the consumption behaviours of tourists based on travel motivations, risks, constraints and destination image have used the TPB hypothesis to support their models. 67,68 Motivation has been found to have a direct and positive relationship with behavioural intention, indicating that the motivations of medical tourists positively influence their visit intentions. 69−72 Researchers have also found a strong negative relationship between the perceived risks of travelling and visit/revisit intentions.…”

Section: Relationships Between Model Factorsmentioning

confidence: 99%

Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism: Theoretical model

Khan

Chelliah

Haron

et al. 2017

SQUMJ

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Travel motivations, perceived risks and travel constraints, along with the attributes and characteristics of medical tourism destinations, are important issues in medical tourism. Although the importance of these factors is already known, a comprehensive theoretical model of the decision-making process of medical tourists has yet to be established, analysing the intricate relationships between the different variables involved. This article examines a large body of literature on both medical and conventional tourism in order to propose a comprehensive theoretical framework of medical tourism decision-making. Many facets of this complex phenomenon require further empirical investigation.

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“…Further, additional collectivistic cultures (such as India) could be studied to see if the findings are indicative of collectivistic cultures in general or more of the Chinese one in particular. As several studies indicate that the unique characteristics of Chinese people influence digital trends and consumer behaviors, additional research could test the model of this study as it pertains to eWOM (Riegner, ; Wu, Raab, Chang, & Krishen, ).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…As with all research, this one has limitations. The authors study con- (Riegner, 2008;Wu, Raab, Chang, & Krishen, 2016).…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Will they pitch or will they switch? Comparing Chinese and American consumers

Krishen

2018

Psychology and Marketing

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This study compares the conditions for consumer satisfaction and word of mouth (WOM) between Chinese and American consumers. The authors utilize a between‐subjects factorial design experiment to investigate the effect of service experience (positive or negative) and consumption context (hedonic vs. utilitarian) across these two cultures. Results indicate that consumers perceive higher levels of satisfaction and switching costs, and provide higher WOM intention for positive than for negative service experiences. The relationship between service experience and perceived switching costs is further moderated by consumption context and culture. Of importance is the critical mediating role of consumer satisfaction in driving perceived switching costs and WOM intention. The comparison of Chinese and American consumers also reveals the distinct switching behaviors between the two groups of consumers, which can be explained from a cultural perspective. The study findings provide insights into provider‐switching and WOM‐spreading behaviors by Chinese and American consumers, under hedonic versus utilitarian consumption contexts.

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Understanding Chinese tourists' food consumption in the United States

Cited by 74 publications

References 44 publications

Understanding entrepreneurial intentions: A developed integrated structural model approach

Understanding entrepreneurial intentions: A developed integrated structural model approach

Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism: Theoretical model

Will they pitch or will they switch? Comparing Chinese and American consumers

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