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1 – 5 of 5Jian-Ren Hou, Yen-Hsi Li and Sarawut Kankham
As an alternative to hiring financial specialists or investment consultants, robo-advisors offer financially automated investment services. This study aims to investigate how…
Abstract
Purpose
As an alternative to hiring financial specialists or investment consultants, robo-advisors offer financially automated investment services. This study aims to investigate how robo-advisors' service attributes, risk attitude and financial self-efficacy influence customers' choice preferences of adopting robo-advisors.
Design/methodology/approach
Two hundred fifty-one online surveys were used to collect data, and choice-based conjoint analysis was conducted.
Findings
Results show that increasing annual fees negatively impact customers' choice preferences. Promotion, general investment education and additional human assistance have a positive impact. Furthermore, risk-seeking and risk-averse customers require more human assistance than risk-neutral customer and customers with high levels of financial self-efficacy prefer more general investment education and additional human assistance than those with lower levels. In addition, customers in the older age group prefer promotion, general investment education and additional human assistance, while wealthy customers prefer lower annual fees, higher general investment education and more additional human assistance compared to middle-class and low-income groups.
Originality/value
This study contributes to robo-advisor providers to provide appropriate service attributes for each customer group.
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Xuebing Dong, Hong Liu, Nannan Xi, Junyun Liao and Zhi Yang
This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer…
Abstract
Purpose
This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.
Design/methodology/approach
This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.
Findings
Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.
Practical implications
The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.
Originality/value
From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.
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Mark Taylor, Hulya Francis, John Fielding and Emma Dean
The study aims to apply catastrophe theory to the analysis of accidental dwelling fire injuries in terms of age band, gender and contributory factors in order to inform fire…
Abstract
Purpose
The study aims to apply catastrophe theory to the analysis of accidental dwelling fire injuries in terms of age band, gender and contributory factors in order to inform fire prevention activities.
Design/methodology/approach
The study employed a case study in a UK Fire and Rescue service concerning analysis of the circumstances of accidental dwelling fire injuries, and the characteristics and behaviours associated with utilising frequency analysis, percentages, ratios and catastrophe theory modelling.
Findings
Overall, males were more likely to be injured in an accidental dwelling fire compared to females by a ratio of 1.68 to 1, and those in the age band 50–64 appeared to be at maximum risk. A total of 15.4% of the accidental dwelling fire injuries involved consumption of alcohol or drugs, and 5.9% involved falling asleep.
Research limitations/implications
The circumstances of accidental dwelling fire injury can be analysed to identify patterns concerning when a catastrophic change relating to ordinary use of domestic objects results in an accidental dwelling fire injury.
Practical implications
A catastrophe theory view can aid the understanding of how ordinary use of domestic objects results in an accidental dwelling fire injury.
Social implications
Since fire injuries have both a social and economic cost, understanding how such fire injuries occur can aid fire prevention through appropriately targeted fire prevention activities.
Originality/value
The study made use of a catastrophe theory view to analyse the circumstances under which accidental dwelling fire injuries occurred using fire injury data from a UK fire and rescue service.
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Jackson Lord and Rachel Sabin-Farrell
The transtheoretical model (TTM) has been applied to varying areas of physical health, e.g. diabetes. However, research into its applicability to psychotherapy is mixed. The TTM…
Abstract
Purpose
The transtheoretical model (TTM) has been applied to varying areas of physical health, e.g. diabetes. However, research into its applicability to psychotherapy is mixed. The TTM is applied through the University of Rhode Island Change Assessment (URICA). Investigating the utility of the URICA is needed to improve patient care and outcomes. This study aims to assess whether the URICA scores relate to patient outcomes; patient attendance; practitioner ratings of patient readiness, appropriateness, insight, motivation and potential for improvement; and to explore practitioner’s perspectives on the URICA.
Design/methodology/approach
Correlational methods were used to assess the relationship between the URICA and therapeutic outcome, attendance and practitioner-rated areas. Content analysis was used to analyse practitioner qualitative data.
Findings
The URICA did not correlate with either therapeutic outcome or attendance. A significant negative correlation was found between the URICA and practitioner-rated appropriateness of the referral. This means practitioners perceived individuals with lower URICA scores to be a more appropriate referral, despite the score indicating a reduced readiness to change. Qualitative categories included positive views, negative views, ambivalence and changes to measure and process. To conclude, the URICA does not explain a patient’s outcome or attendance. The URICA may not be appropriate to use in its current format in mental health services; therefore, assessing the TTM verbally may be more helpful.
Originality/value
This study provides research into suitability of using the URICA to assess the TTM and its applicability to attendance and outcome in psychological therapies.
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Abstract
Purpose
Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.
Design/methodology/approach
The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.
Findings
(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.
Practical implications
The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.
Originality/value
This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.
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