Factors Influencing Donation Intention to Personal Medical Crowdfunding Projects Appearing on MSNS

Liu, Qihua; Wang, Li; Zhou, Jingyi; Wei, Wu; Li, Yiran

doi:10.4018/joeuc.287572

Cited by 16 publications

(18 citation statements)

References 109 publications

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“…This study applied the theory of planned behaviour in the research of marriage intention, enriching the explanatory and predictive power of the theory of planned behaviour, and explored the motivations of Chinese college students to enter marriage in the future. Structural equation model analyses showed that behavioural attitude, subjective norm, and perceived behavioural control all had significant positive impacts on marriage intention, which is consistent with previous findings (Ajzen, 1991 ; Canova et al, 2020 ; Liu et al, 2022 ); thus, hypotheses 1–3 were valid.…”

Section: Discussionsupporting

confidence: 89%

Research on Factors Affecting Chinese College Students' Marriage Intention: Applying the Theory of Planned Behaviour

Xie

Hong²

2022

Front. Psychol.

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With the second demographic transition, the marriage rate in China has decreased annually. This reduction will have a key impact on national economic and social development. There is a need to investigate the factors that influence college students' marriage intentions, which can predict the development trend of marriage and family formation in China's future society to some extent. Previous studies focus on the extraction of college students' beliefs about marriage and love, whereas few studies have investigated how these beliefs affect marriage intention and marriage behaviour. Based on the theory of planned behaviour, this study aims to explore the impact of attitude towards behaviour, subjective norm, and perceived behavioural control on marriage intention; analysed the key predictors of college students' marriage intentions; and provided implications for pro-marriage policy. Using convenience sampling, data were obtained from 772 college students (mean age = 20.38 ± 2.38 years; 64.5% women) from three universities in China. Two types of questionnaires were designed to elicit salient beliefs and marriage intentions, respectively. Students' marriage intentions were positively correlated with attitude towards behaviour, subjective norm, and perceived behavioural control. Most participants were inclined to get married, and the marriage intention of women was significantly lower than that of men. The important beliefs and factors influence students' marriage intention included stereotypical gender identity, low fertility intention, weakened inter-generational transmission of traditional family ideas, materialisation of marriage, and negative information about marriage disseminated by the mass media. To promote college students' marriage intention, pro-marriage policies conducive to fertility, good economic prospects, more employment opportunities, positive publicity of marriage by the mass media are suggested to make, and it is necessary for universities to offer marriage and love courses to college students.

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Section: Discussionsupporting

confidence: 89%

Research on Factors Affecting Chinese College Students' Marriage Intention: Applying the Theory of Planned Behaviour

Xie

Hong²

2022

Front. Psychol.

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“…Artificial intelligence technology is gradually affecting all aspects of our lives. Swarm intelligence evolutionary algorithms can deal with problems such as nonderivable node transfer functions or the absence of gradient information [ 9 , 10 ]. At the same time, it also promotes the development of all aspects of life [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Public View of Public Health Emergencies Based on Artificial Intelligence Data

Zhang¹,

Chu-ke²,

Kim

et al. 2022

Journal of Environmental and Public Health

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In the current environment where the network and the real society are intertwined, the network public view of public emergencies has involved in reality and altered the ecology of communal public views in China. A new online court of influence has been created, and it affected the trend of events. As the main type of public emergencies, public health emergencies are directly related to people’s health and life insurance. Therefore, the public often pays special attention. At present, correct media guidance plays an irreplaceable and important role in calming people’s hearts and stabilizing social order. If news and public view are left unchecked, it is likely to cause panic among the people. However, in reality, public view research has always been a research object that is difficult to intelligentize and quantify. Based on such a realistic background, the article conducts a research on public view of public health emergencies based on artificial intelligence data analysis. This study designs an expert system for network public view and optimizes the algorithm for the key problem: SFC deployment. Finally, the system was put into real news and public opinion research on new coronavirus epidemic prevention, and experimental tests were carried out. The experimental results have shown that in the new coronavirus incident, the nuclear leakage incident, and the epidemic prevention policy, the data obtained by the public through the Internet are 50%, 68.06%, and 64.35%, respectively. For the system function in this study, both ICSO and IPSO are far better than the optimization results of CSO and PSO. For most of the test functions, IPSO is better than ICSO’s optimization results, which better fulfills the needs of the research content. This study will make an in-depth analysis of the evolution process of online public opinion on public emergencies from the macro-, meso-, and micro-perspectives, in order to analyze the dissemination methods and internal evolution mechanism of various public emergencies of online public opinion, which provides countermeasures and suggestions for the government to guide and manage network public opinion.

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“…Medical crowdfunding campaigns can only be shared on personal social media by the fundraiser at the beginning and then forwarded by "friends" on social media. Other crowdfunding campaigns rely mainly on celebrities to share and spread information, while most retweeters in medical crowdfunding campaigns are ordinary people (Liu et al, 2022;Nisar et al, 2022). Accordingly, while much recent research has focused on charity-based crowdfunding, the findings cannot be easily extended to medical crowdfunding.…”

Section: Medical Crowdfundingmentioning

confidence: 99%

“…Social media communication greatly influences a successful crowdfunding activity; for example, an extra tweet or retweet can increase the success probability of a medical crowdfunding activity by 1.79% (Aleksina et al, 2019). Mobile social media platforms have become the main sharing channel for medical crowdfunding campaigns (Liu et al, 2022). Some studies have also found that the contribution of sharing donation-based crowdfunding campaigns on social media can be changed over time, and it is most helpful to share in the first ten days of launching the campaigns.…”

Section: Medical Crowdfundingmentioning

confidence: 99%

Medical Crowdfunding Campaign Sharing Behaviour on Mobile Social Media

Zhou

Yao

et al. 2022

Journal of Organizational and End User Computing

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This study explores factors influencing the sharing behaviour of medical crowdfunding campaigns on mobile social media regarding retweeter and retweeted text features from the social influence perspective and verifies the moderating effect of potential supporter donations. Two scenario-based surveys of medical crowdfunding users are conducted in China. The first (524 samples) and second (510 samples) surveys emphasize scenarios without and with retweeted text, respectively. These surveys are tested by PLS-SEM and suggest that the credibility of retweeters and the strength of their relationship with supporters can positively promote potential supporters' sharing behaviour, regardless of whether retweeters provide retweeted text. Three features of retweeted text significantly influence medical crowdfunding sharing behaviour. Retweeted text can promote sharing behaviour among individuals. With retweeted text available, if potential supporters donate before sharing the campaign, then the influences of retweeter and retweeted text features can be increased.

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Factors Influencing Donation Intention to Personal Medical Crowdfunding Projects Appearing on MSNS

Cited by 16 publications

References 109 publications

Research on Factors Affecting Chinese College Students' Marriage Intention: Applying the Theory of Planned Behaviour

Research on Factors Affecting Chinese College Students' Marriage Intention: Applying the Theory of Planned Behaviour

[Retracted] Public View of Public Health Emergencies Based on Artificial Intelligence Data

Medical Crowdfunding Campaign Sharing Behaviour on Mobile Social Media

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