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Some charitable organisations market third‐party gifts, in which some good, for example a goat, is given to a developing world beneficiary and at the same time is a present to a recipient in the developed world. Little is known about whether such gifts are successful as presents and whether these are a good charitable marketing device. This paper seeks to examine this issue.

Two studies investigated attitudes towards, and beliefs about, such gifts in possible and actual donors and recipients.

Third‐party gifts often make acceptable presents, depending on the recipient and occasion. Gifts of specific goods are preferred to gifts of money, particularly when the benefit to the developing world beneficiary is considered. Such gifts also inspire a reasonable degree of trust.

It is not clear how much benefit beneficiaries receive from third‐party gifts or why donors prefer to give specific goods as gifts.

Third‐party gifts appear to be a successful marketing tool and a means by which poverty can be reduced.

This research extends and combines previous research on gifting to the third‐party gift‐giving process and offers charities some insights into how they might use this process to facilitate donations.

Diversity and uncertainty summarise Taiwan’s Generation Z. Diversity because the background of fewer than 3.4 million Taiwanese, which is less than 20% of the overall population, cannot be included in a ‘one-fits-all’ category. As a sovereign nation, Taiwan has developed through various cultural, economic, and political stages. Democratic freedom has given the Taiwanese the right and terrain to de-Sinicise their homeland and politically construct ‘Taiwanese Consciousness’. These points are essential, because this is the societal fabric given to Generation Zers. Apart from national identity, this chapter illustrates the uncertainties that Generation Zers are facing in relation to education, job opportunities, and living standards. It is suggested that conditions are easier for those that have received ‘superior’ education and have enjoyed family-economic support. Their consumer behaviour, Generation Z in the workplace, as well as voters are also carefully analysed in this chapter.

This study aims to investigate the impact of the source of the content in social media communication and the content distribution intensity on consumer-based brand equity (CBBE) dimensions and how the study will eventually impact purchase intention.

A total of 521 samples were collected using an online survey questionnaire. The respondents' validity was verified using purposive sampling techniques, and the responses were analysed using SmartPLS 3.0.

The authors outlined the fundamental mechanisms of what makes social media communication effective and discovered that emotional-based brand equity dimensions (brand association and brand loyalty) remained significant in influencing purchase intention. However, attribution-based brand equity dimensions (perceived quality, brand trust and brand awareness) are found to have no impact.

This study decomposed social media communication into three different dimensions, and the authors' result showed that the dimensions do not impact CBBE to the same extent. The authors concluded that some CBBE dimensions, which appear to be a rigour determinant of purchase intention over time, have a feeble effect during the pandemic. The existing relationship between the CBBE dimensions with purchase intention might not hold in the pandemic context. The authors suggested that anxiety or pandemic fear could alter the normal consumer buying process and make some well-established relationships not hold. As research indicates that pandemics are reoccurring events, the authors' study contributes to the global effort to dampen some of the pandemic-related effects on business and marketing.

This study aims to investigate barriers and enablers of social media usage by zooming on one specific type of domain: disaster management. First, by systematically reviewing previous studies using a typology to social media usage, this study identifies the challenges often faced. Second, the results are visualized by qualitatively analyzing the focus group discussion data.

This paper opted for an inductive thematic approach of grounded theory, including focus group discussion with ten participants from diverse backgrounds working in the disaster domain. The data is transcribed verbatim and coded using Atlas.ti software.

The findings suggest that the vogue of social media significantly ascends its usage in disaster management. Regulatory, software, physical, authenticity, cultural and demographic rose as challenges for social media usage in disaster management. Findings further indicate enablers as the rise in mobile penetration, democratic participation, increase in living standards, two-way real-time communication, global reach, expeditious decision-making, no space-time constraint and cheaper source of information. Social media, compared to traditional media, is explored. This study has practical implications in helping authorities understand the barriers and enablers for social media usage in disaster management.

Qualitative data analysis of social media usage for disaster management has received scant attention. The main takeaway of this research is to offer clear findings of the purview of social media usage for disaster management. It demonstrates the challenges and enablers of disaster management using social media in the Indian context. Results indicate that leveraging social media for disaster management can extend decision-making for effective disaster management.

This study aims to assess the collective impact of social media engagement and anxiety due to COVID-19 on telemedicine adoption intentions with other constructs of the Technology Acceptance Model (TAM) concerning anxiety linked to COVID-19 and the influence of privacy concerns on TAM constructs. These constructs encompass the perception of ease of use, perceived usefulness, one’s attitude toward telemedicine and the intention to utilize telemedicine.

A total of 178 comprehensive responses were gathered over a six-month period from residents in Mumbai, India, to examine the proposed model. The data was analyzed using software tools, including SPSS version 23 and IBM AMOS 21, to compute factor loadings, assess model fit, estimate path relationships and conduct hypothesis testing.

Privacy concerns with telemedicine usage had a significant negative impact on behavioral engagement (B = −0.20, SE = 0.08, p < 0.05) and positively impacted affective engagement (B = 0.25, SE = 0.06, p < 0.01). Similarly, anxiety due to COVID-19 had a negative impact on the perceived usefulness of telemedicine (B = −0.10, SE = 0.03, p < 0.05).

This research addresses a void in the existing literature by merging the TAM and the Social Media engagement theory. This study reaffirms the impact of past and relevant experiences, privacy concerns and COVID-19-induced anxiety on various components of TAM, thus expanding and enriching the TAM model.

Healthcare administrators should implement strategies to alleviate privacy-related apprehensions associated with telemedicine platforms. Additionally, they should promote existing users to create and disseminate positive content to mitigate COVID-19-induced anxiety and foster meaningful engagement, thereby enhancing the willingness to adopt telemedicine.

Providers and promoters of telemedicine platforms and services may lean toward employing digital marketing campaigns that rely on emotional persuasion, including tapping into the fear factor to boost subscription and service sales. Such practices raise ethical questions, underscoring the need for well-defined advertising standards to govern the marketing of these products.

This article is among the relatively rare studies that document the favorable influence of emotional engagement on the intention to utilize telemedicine, underscoring the significant role of emotions in shaping telemedicine adoption Intentions.

The Sendai framework for disaster risk reduction (DRR) 2015–2030 offers guidelines to reduce disaster losses and further delivers a wake-up call to be conscious of disasters. Its four priorities hinge on science, technology and innovations as critical elements necessary to support the understanding of disasters and the alternatives to countermeasures. However, the changing dynamics of current and new risks highlight the need for existing approaches to keep pace with these changes. This is further relevant as the timeline for the framework enters its mid-point since its inception. Hence, this study reflects on the aspirations of the Sendai framework for DRR through a review of activities conducted in the past years under science, technology and innovations.

Multidimensional secondary datasets are collected and reviewed to give a general insight into the DRR activities of governments and other related agencies over the past years with case examples. The results are then discussed in the context of new global risks and technological advancement.

It becomes evident that GIS and remote sensing embedded technologies are spearheading innovations for DRR across many countries. However, the severity of the Covid-19 pandemic has accelerated innovations that use artificial intelligence-based technologies in diverse ways and has thus become important to risk management. These notwithstanding, the incorporation of science, technology and innovations in DRR faces many challenges. To mitigate some of the challenges, the study proposes reforms to the scope and application of science and technology for DRR, as well as suggests a new framework for risk reduction that harnesses stakeholder collaborations and resource mobilizations.

The approach and proposals made in this study are made in reference to known workable processes and procedures with proven successes. However, contextual differences may affect the suggested approaches.

The study provides alternatives to risk reduction approaches that hinge on practically tested procedures that harness inclusivity attributes deemed significant to the Sendai framework for DRR 2015–2030.