Search results

This study aims to empirically test how sponsored video customization (i.e. the degree to which a sponsored video is customized for a sponsoring brand) affects video shares differently depending on influencer characteristics (i.e. mega influencer and expert influencer) and brand characteristics (i.e. brand establishment and product involvement).

This study uses a unique real-world data set that combines coded variables (e.g. customization) and objective video performance (e.g. sharing) of 365 sponsored videos to test the hypotheses. A negative binomial model is used to analyze the data set.

This study finds that the effect of video customization on video shares varies across contexts. Video customization positively affects shares if they are made for well-established brands and high-involvement products but negatively influences shares if they are produced by mega and expert influencers.

This study extends the influencer marketing literature by focusing on a new media modality – sponsored video. Drawing on the multiple inference model and the persuasion knowledge theory, this study teases out different conditions under which video customization is more or less likely to foster audience engagement, which both influencers and brands care about. The chosen research setting may limit the generalizability of the findings of this study.

The findings suggest that mega and expert influencers need to consider if their endorsement would backfire on a highly customized video. Brands that aim to engage customers with highly-customized videos should gauge their decision by taking into consideration their years of establishment and product involvement. For video-sharing platforms, especially those that are planning to expand their businesses to include “matching-making services” for brands and influencers, the findings provide theory-based guidance on optimizing such matches.

This paper fulfills an urgent research need to study how brands and influencers should produce sponsored videos to achieve optimal outcomes.

This paper investigates the determinants of compulsive buying behaviour (CBB) and ascertains the effect of CBB on the propensity of an individual to be dependent on loans and fall into financial trouble. The study additionally examines the moderating effect of financial management on the hypothesized relationships.

The survey method of research was adopted using questionnaires as the principal means of data collection. The predicted relationships of the study were tested using the partial least square structural equation modelling technique.

The authors’ results suggest materialism, socioeconomic status and financial management skills of an individual are significant predictors of CBB. The authors also find CBB to be positively associated with loan dependence and the authors’ analysis suggests financial management skills moderate the hypothesized relationships.

Findings of this study suggest buying compulsively increases the risks of over-dependence on loans and can be indirectly associated with the risk of individuals falling into financial trouble.

The findings highlight the adverse effects of CBB on loan dependence and financial trouble and the moderating effect of financial management on the dominant factors that influence CBB.

More people share their tourism experiences on social media today than in the past, and as a result, more people follow these posts in their trip planning. However, studies into tourists' intention to follow such posts are scarce. Therefore, this study investigates the antecedents influencing social media users' intentions to follow tourism-related posts (TRPs) when planning their trips.

Questionnaires were collected from 402 social media users who had followed TRPs for their trip planning. Data were then analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks.

The authors found that blogger–user fit and users' involvement with TRPs influenced behavior components (attitudes toward TRPs and intention to follow TRPs) via assessment components (bloggers' credibility and content quality), and the authors developed a framework to explain this relationship.

The findings advance prior studies by investigating (1) the antecedents of intention to follow TRPs when trip planning, (2) the two main social media elements – bloggers and posts – to understanding the role of social media on travel behavior and (3) involvement with TRPs and their impacts on travel behavior. This study contributes to the research on social media and tourism marketing and proposes practical indications for bloggers, social media platforms and destination marketing organizations.

This paper aims to explore and review the potential of robotic rehabilitation as a treatment approach for Alzheimer’s disease (AD) and its impact on the health and quality of life of AD patients.

The present discourse endeavors to provide a comprehensive overview of extant scholarly inquiries that have examined the salience of inhibitory mechanisms vis-à-vis robotic interventions and their impact on patients with AD. Specifically, this review aims to explicate the contemporary state of affairs in this realm by furnishing a detailed explication of ongoing research endeavors. With the objective of elucidating the significance of inhibitory processes in robotic therapies for individuals with AD, this analysis offers a critical appraisal of extant literature that probes the intersection of cognitive mechanisms and assistive technologies. Through a meticulous analysis of diverse scholarly contributions, this review advances a nuanced understanding of the intricate interplay between inhibitory processes and robotic interventions in the context of AD.

According to the review papers, it appears that implementing robot-assisted rehabilitation can serve as a pragmatic and effective solution for enhancing the well-being and overall quality of life of patients and families engaged with AD. Besides, this new feature in the robotic area is anticipated to have a critical role in the success of this innovative approach.

Due to the nascent nature of this cutting-edge technology and the constrained configuration of the mechanized entity in question, further protracted analysis is imperative to ascertain the advantages and drawbacks of robotic rehabilitation vis-à-vis individuals afflicted with Alzheimer’s ailment.

The potential for robots to serve as indispensable assets in the provision of care for individuals afflicted with AD is significant; however, their efficacy and appropriateness for utilization by caregivers of AD patients must be subjected to further rigorous scrutiny.

This paper reviews the current robotic method and compares the current state of the art for the AD patient.

The purpose of this study is to provide a bibliometric analysis of global research publications on virtual and augmented reality (VR/AR) technologies in the understanding, diagnosis and treatment of mental disorders.

The SciVerse Scopus database was used to retrieve relevant documents using a validated search strategy for the study period from 1980 to 2021.

In total, 1,233 research articles were found. Research in this field has experienced steep growth since 2017; was disseminated by journals in the fields of clinical psychology, neuroscience, psychiatry and computer sciences; was mainly carried out by scholars in high-income countries with advanced digital technology; has a relatively high number of authors per article but with a relatively poor cross-country research collaboration; was led by researchers and institutions mainly from the USA, Spain and Italy; and has received the highest number of citations for articles on anxiety and phobias.

Bibliometric methodology is a useful tool for identifying evolution growth patterns and research hot topics in the use of emerging technologies in clinical practice. Research on implementing AR/VR technologies in medicine will be enhanced by strengthening international research collaboration. More research attention should be paid to new emerging technologies in the mental health field.

The use of VR/AR technologies became popular as an alternative to or adjunct to traditional therapy in mental health practice. The rapid increase in research publications in recent years suggested that AR and VR technologies were both acceptable and simple to use. A wide range of mental health disorders could be managed by AR/VR technologies. Training medical and nursing students on various new technologies is important to cope with the digital revolution.

Based on the volume and growth patterns of research publications, there is a promising future for the use of VR/AR technologies in the field of mental health. Teaching and training health-care professionals on the proper use of VR/AR are needed to support their potential future use.