946 research outputs found
Factors that influence users to take part in WeChat marketing activities
JEL Classification M3 M31With the penetration of smart phones and mobile Internet, Instant Message Tool is one of the
important channels that was developed in order to meet the communication need. Diven by
the strong demand, WeChat is the fastest growing Instant Message Tool, and gradually
replace the others such as QQ, Weibo, becomes the most popular one in China. Since WeChat
has been released new version with functions for busniess, WeChat marketing has started to
become a hot topic which concerned by many enterprises. Enterprises push information and
hold activities by using WeChat functions such as “Subscription Account”, “QR Code”, in
order to obtain more attention and reach more sales. The purpose of this dissertation was to
study factors that will influence users’ partipation in WeChat Marketing.
Based on the Technology Acceptance Model, marketing features and social characteristics are
also considered in the research model. After running Factor Analysis, Usage Performance,
Privacy Concern, Perecived Entertainment, Perceived Interactive, Subjective Norm, Perceived
Behavioral Control were the new independent variables; Attitude as the immediate variable;
Behavior Intention as the dependent variable. Final result shows that Usage Performance has
significant positive impact on Attitude and Behavior Intention. Perecived Entertainment and
Perceived Interactive have significant positive impact on Attitude. However, Privacy Concern
has not significantly influence on Attitude. Subjective Norm has significant impact on Attitude
and Behavior Intention, while Perceived Behavioral Control has not significantly influence
on Attitude and Behavior Intention.Com a penetração de smartphones e Internet móvel, Ferramentas de Mensagens Instantâneas
tornam-se num dos mais importantes canais desenvolvidos de forma a satisfazer a necessidade
de comunicação. Derivado pela forte procura, WeChat é a ferramenta de mensagens instantâneas
com maior crescimento, gradualmente substituindo outras plataformas como QQ e Weibo,
tornando-se num dos mais populares na China. Desde o surgimento do WeChat com novas
funções para os negócios, o seu marketing tem começado a ser um importante tópico de
análise por muitas empresas. As empresas enviam informação e mantêm actividades usando a
opção de “Registar Conta” e “código QR”, de forma a obter maior atenção e obter mais vendas.
O objectivo desta dissertação consiste em estudar os factores que influenciam a participação
dos usuários no marketing do WeChat.
Com base no Modelo de Aceitação Tecnológica, recursos de marketing e características sociais
também são considerados no modelo de pesquisa. Depois de executar uma análise factorial,
as variáveis independentes foram Desempenho de Uso, Preocupação com a Privacidade,
Entreternimento Percebido, Interactividade Percebida, Norma Subjectiva, Controlo Comportamental
Percebido; tendo como variável imediata Atitudes, e Intenção de Comportamento
como variável dependente. Os resultados finais mostram que o Desempenho de Uso tem um
impacto positivo significativo nas Atitudes e Intenção de Comportamento. Entertenimento
Percebido e Interactividade Percebida têm um impacto positivo significativo nas Atitudes. No
entanto, a Preocupação com a Privacidade não tem influência significativa nas Atitudes.
Normas Subjectivas têm um impacto significativo nas Atitudes e Intenção de Comportamento,
enquanto que o Controlo Comportamental Percebido não tem influência significativa nas
Atitudes e Intenção de Comportamento
A hybrid representation based simile component extraction
Simile, a special type of metaphor, can help people to express their ideas more clearly. Simile component extraction is to extract tenors and vehicles from sentences. This task has a realistic significance since it is useful for building cognitive knowledge base. With the development of deep neural networks, researchers begin to apply neural models to component extraction. Simile components should be in cross-domain. According to our observations, words in cross-domain always have different concepts. Thus, concept is important when identifying whether two words are simile components or not. However, existing models do not integrate concept into their models. It is difficult for these models to identify the concept of a word. What’s more, corpus about simile component extraction is limited. There are a number of rare words or unseen words, and the representations of these words are always not proper enough. Exiting models can hardly extract simile components accurately when there are low-frequency words in sentences. To solve these problems, we propose a hybrid representation-based component extraction (HRCE) model. Each word in HRCE is represented in three different levels: word level, concept level and character level. Concept representations (representations in concept level) can help HRCE to identify the words in cross-domain more accurately. Moreover, with the help of character representations (representations in character levels), HRCE can represent the meaning of a word more properly since words are consisted of characters and these characters can partly represent the meaning of words. We conduct experiments to compare the performance between HRCE and existing models. The experiment results show that HRCE significantly outperforms current models
Recurrent implantation failure: A comprehensive summary from etiology to treatment
Implantation is the first step in human reproduction. Successful implantation depends on the crosstalk between embryo and endometrium. Recurrent implantation failure (RIF) is a clinical phenomenon characterized by a lack of implantation after the transfer of several embryos and disturbs approximately 10% couples undergoing in vitro fertilization and embryo transfer. Despite increasing literature on RIF, there is still no widely accepted definition or standard protocol for the diagnosis and treatment of RIF. Progress in predicting and preventing RIF has been hampered by a lack of widely accepted definitions. Most couples with RIF can become pregnant after clinical intervention. The prognosis for couples with RIF is related to maternal age. RIF can be caused by immunology, thrombophilias, endometrial receptivity, microbiome, anatomical abnormalities, male factors, and embryo aneuploidy. It is important to determine the most possible etiologies, and individualized treatment aimed at the primary cause seems to be an effective method for increasing the implantation rate. Couples with RIF require psychological support and appropriate clinical intervention. Further studies are required to evaluate diagnostic method and he effectiveness of each therapy, and guide clinical treatment
Spectral radius of graphs forbidden or
Let be the graph obtained from a cycle by adding a
new vertex connecting two adjacent vertices in . In this note, we obtain
the graph maximizing the spectral radius among all graphs with size and
containing no subgraph isomorphic to . As a byproduct, we will
show that if the spectral radius , then must
contains all the cycles for unless .Comment: 11 pages, 1 figur
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