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The purpose of this paper is to link subjective data obtained from a questionnaire survey with blood donation behavioral data, constructs a conceptual model of the factors that influence repeated blood donation behavior, and explores the mechanisms and degrees of influence of the value and cost elements of blood donors on repeated blood donation behavior.

First, this study constructs a conceptual model of the factors that affect repeated blood donation based on delivered value theory. Second, this paper is driven by subjective data obtained from a questionnaire and big data on blood donation behavior; the use of multisource data can help us understand repeated blood donation behavior from a broader perspective. Through data association and systematic research, it is possible to accurately explore the mechanisms through which various factors affect repeated blood donation behavior.

The results show that among the value elements, personnel value (PV), image value and blood donation value affect blood donation behavior in decreasing order. The change in PV per unit directly caused a 0.471-unit change in satisfaction, which indirectly caused a 0.098-unit change in donation behavior. Among the cost elements of blood donors, only the impact of time cost (TC) on repeated blood donation behavior was significant, and a change of one unit in TC caused a change in repeated blood donation behavior of −0.035 units. In addition, this paper groups subjects according to gender, education and age and explores the differences in the value and cost factors of different groups. Finally, based on the research results, the authors propose corresponding policy recommendations.

First, the authors expand the application field of the delivered value theory, and provide a new perspective for studying repeated blood donation. Second, through questionnaire data and blood donation behavior data, the authors comprehensively explore the factors that influence repeated blood donation behavior.

The purpose of this paper is to explore the impact and mechanism of WeChat public platforms articles (abbreviated as WPP) on blood donation behavior using data of WPPA and donation behavior data.

This paper uses multiple linear regression methods, web crawlers and natural language processing technology. It first quantifies the impact of WPP published articles on donation behavior. On this basis, it then selects data from the day of article publication to further study the impact of article dissemination on donation behavior from the perspective of reading quantity, and analyzes the influencing factors of article reading quantity.

The results show that on the same day that an article is published, there is an increase of 13.8 and 14.3% in blood donation volume and fan registrations, respectively. The mediating effect exists. However, the day after an article is published, there is no longer any effect on blood donations. With a 1% increase in reading quantity, blood donation volume on the day of article publication increases by 0.13%, and this positive impact is promoted by the quality of the articles. A conc ise articles title and body and rich images help drive reading quantity. Moreover, blood donors prefer to read articles about blood dynamics and donation promotion, while articles about news, announcements and administrative affairs make them less inclined to read.

First, it focuses on WPPA, quantifies the impact of articles on blood donation behavior and analyzes the mechanism. Second, the authors study the impact and timeliness of social media article dissemination to address the insufficiency of existing research. Third, the study provides a scientific basis for the editing and publishing of articles, helping blood banks improve the effectiveness of publicity and recruitment.

The purpose of this paper is to explore the impact of WeChat public platforms (abbreviated as WPP) on blood donation behavior using data from the platforms’ backend and information system.

First, this paper established a time-varying difference-in-difference (DID) model to evaluate the change before and after following the WPP under normal scenarios. The difference-in-difference-in-difference (DDD) method was further used to analyze the heterogeneous effects of gender, age, occupation and education. Second, a logit model was used to examine the impact of WPP on blood donation behavior under emergency scenarios (i.e. COVID-19).

The research shows that following WPP has a positive impact on donation volume. For each donor, the average blood donation volume after following WPP increased by 12.94% compared to before following. The WPP has a greater impact on groups with males, medical staff, middle-aged individuals and those with primary school education. Following WPP also enhanced blood donation behavior in emergency scenarios. During the COVID-19 pandemic, the probability of fans donating blood was 2.6% higher than non-fans, and the average blood donation volume of fans was 7.04% higher than non-fans, which was 5.9% lower than in normal scenarios.

For theory, this paper quantified the impact of WPP on blood donation behavior in normal and emergency scenarios and addressed the research gap surrounding the impact exerted by social media on blood donation behavior. For methodology, the time-varying DID model, DDD model and logit model were applied to the field of blood donation, which expanded the application scenarios. For practice, the findings are of great significance for recruiting blood donors and providing evidence for promotion on WPP.

This chapter reviews research on the question–behavior effect, the phenomenon that asking questions influences respondents’ behavior. Two distinct research streams, the self-prophecy effect, concerned with socially normative behaviors, and the mere measurement effect, dealing with purchase behaviors without socially normative significance, are identified. Despite the recent attempt at integration, it is argued that there are fundamental differences between the two effects. Distinctions are also drawn between lab-based and field-based mere measurement effects, and between normatively consistent and implicit attitude-driven, normatively inconsistent self-prophecy effects. Key studies, theoretical explanations, and moderators of each effect are discussed, potential unanswered questions and research opportunities are identified, and significant managerial and policy implications are highlighted.

This paper aims to examine the influence of personal distress on donor choice of happy- or sad-faced child in two donation contexts, monetary donations and child sponsorships.

This research conducted two experimental studies, in which participants chose a child to benefit out of eight needy children.

More people chose sad-faced children than happy-faced children in monetary donations, whereas in child sponsorships, the preference for sad-faced over happy-faced children disappeared: people chose happy-faced children as often as they chose sad-faced children.

This research distinguishes between two types of personal distress, experienced and anticipated distress, explaining why donor choices of child differ between monetary donations (where only experienced distress is present) and child sponsorships (where both experienced and anticipated distress are present).

The purpose of this study develops and validates a model of new donor decision-making in the charity sector. Drawing upon dual process theory, the model incorporates brand salience and brand attitude as antecedents of brand choice intention, moderated by donor decision involvement.

Study 1 generates measures using interviews with marketing, media and research managers, and new donors from two international aid and relief organizations. Study 2 uses an experimental design to first test scenarios of disaster relief, and then validate and confirm a new donor decision model using large-scale consumer panels for the international aid and relief sector in Australia.

The results replicated across four leading international aid-related charities reveal that brand salience is positively related to brand choice intention through the mediating effect of brand attitude. Furthermore, the effect of brand salience on brand choice intention is significantly stronger when donor decision involvement is low. Conversely, the effect of brand attitude on brand choice intention is stronger for higher levels of donor decision involvement.

Managers should understand the importance of brand salience/attitudes and the implications for the communication strategy. Managers should also strive to understand the level of decision involvement and the relative influence of brand attitude/salience on brand choice intention.

This study advances the literature on charitable giving by proposing and testing a moderated mediation model of donor choice when selecting a charity for donation. Findings provide new insights into the extent to which brand salience, brand attitude and donor decision-making influence how new donors choose between charities for donation.

Social organisations and their entrepreneurial approaches are quite challenging to avail a robust and sustainable platform. Yet it is more difficult when the venture is aimed to serve an uncommon service that the target group are not aware of. Leveraging morale boosts and power of the mind through yoga and transcendental meditation practices could be an approach of a social enterprise that are outlined in this chapter. How tranquility and mental peace in the midst a huge number of people can be achieved by some innovative steps, that is also conferred here.

The Equal Pay Act 1970 (which came into operation on 29 December 1975) provides for an “equality clause” to be written into all contracts of employment. S.1(2) (a) of the 1970 Act (which has been amended by the Sex Discrimination Act 1975) provides: