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Past literature offered competing predictions of the effect of broadband Internet on suicide. The Internet facilitates suicide by providing suicide-related information and ruining mental health. In contrast, Internet prevents suicide by offering social interaction and online mental treatment. This study aims to solve this tension by empirically examining the effect of broadband Internet on suicide with large-scale panel set.

This study takes instrument approach with the US county-level panel set for the period 2013–17. This study uses the number of household broadband Internet subscriptions as the measure of broadband and leverages the number of telecommunication carriers as an instrument to address concern for endogenous relationship.

There exists a positive and significant association between broadband Internet adoption and suicide on average. This study provides empirical evidence that this association is attributable to the Internet's role in leading to a general decline in the mental well-being and in providing suicide-relevant information. This association is more evident in areas with high poverty and low social capital.

This study contributes to literatures that address the dark side of information systems in general and that address how Internet adoption can influence public health and well-being in particular. Results of underlying mechanisms why Internet affects suicide, and heterogeneous effect of Internet by poverty and social capital provide insight for governments to enact proactive regulations to address continuing rise of suicide.

Architectural history is the fundamental resource that informs the essence of architecture and design thinking; however, education does not appear to link history to design thinking. A study of architectural history textbooks reveals the inadequacy of relying on the modern paradigm and architecture's typology of styles and periods. Instead, conceptual metaphor theory is recommended as the framework for understanding architectural history from an experiential approach. This study aims to complement architectural history by a new understanding of embodied cognition in generating paradigm change.

This study reviewed architectural history through changing body metaphors in terms of embodied experience. The study examined three different metaphorical structures of the body – nature, machine and neural network – projected on the built environment and experienced in accordance with three periods of architectural history, which are categorized as before modern, modern and after modern.

As a result of the case study, ancient pyramids can attain more empirical meaning as playful spaces than abstract forms, Greek temples as social spaces than symbolic spaces, medieval churches as atmospheric spaces than visually-centric spaces, modern residential buildings as unsustainable machines and contemporary parks as raising awareness of sustainable environment.

Therefore, this article contributes to understandings and knowledge of how built environments are experienced from the perspective of a neural network, to the development of a pedagogical alternative to traditional architectural history, to linking architectural history to design and practice to re-establish the importance and vitality of architectural history and finally to creating a sustainable didactic.

The purpose of this study is to examine the effects of brand and message framing on consumers’ evaluations and purchase intentions of smart health-care clothing. The study also examines the mediating effect of consumers’ evaluations on the effects of the brand and message framing on purchase intentions.

Through an experimental approach, a total of 240 US consumers’ evaluation of smart health-care clothing is compared according to the existence of a well-known brand (vs. none) and message framing (technology-focused vs. fashion-focused).

The results show that consumer evaluation of smart health-care clothing is higher when the product is from a well-known brand, where consumers’ fashion consciousness and health consciousness positively influence such an evaluation as covariates. Message framing, however, did not have an influence that revealed any significant difference between technology-focused and fashion-focused messages. The consumer’s evaluation of smart health-care clothing eventually increased their purchase intentions and mediated the effects of brand on purchase intentions.

Smart health-care clothing refers to clothing that measures, records and manages the user’s activity and health status through conductive fibers or sensors that are woven in the clothes. Despite its benefits, smart health-care clothing is still not widely adopted among consumers, except for a few successful examples. Closing this gap, the results of this study provide implications regarding whether and how brand and message framing maximize consumers’ evaluations toward smart health-care clothing, which the developers and marketers of such products can use to increase the product’s market penetration.

The current study aims to investigate the factors that impact the feedback received on answers to questions in social Q&A communities and whether the expertise-required question influences the role of these factors on the feedback.

To understand the antecedents and consequences that influence the feedback received on answers to online community questions, the elaboration likelihood model (ELM) is applied in this study. The authors use web data crawling methods and a combination of quantitative analyses. The data for this study came from Zhihu; in total, 353,775 responses were obtained to 1,531 questions, ranging from 49 to 23,681 responses per question. Each answer received 0 to 113,892 likes and 0 to 6,250 comments.

The answers' cognitive and emotional components and the answerer's influence positively affect user feedback behavior. In addition, the expertise-required question moderates the effects of the answer's cognitive component and emotional component on the user feedback, moderating the effects of the answerer's influence on the user approval feedback.

This study builds upon a limited yet growing body of literature on a theme of great relevance to scholars, practitioners and social media users concerning the effects of the connotation of answers (i.e. their cognitive and emotional components) and the answerer's influence on user feedback (i.e. approval and collaborative feedback) in social Q&A communities. The authors further consider the moderating role of the domain expertise required by the question (expertise-required question). The ELM model is applied to explore the relationships between questions, answers and feedback. The findings of this study add a new perspective to the research on user feedback and have implications for the management of social Q&A communities.