scholarly journals Research on Influencing Factors of Government Affairs Short Video

2021 ◽  
Vol 13 ◽  
pp. 320-326
Author(s):  
Xiaofei Li ◽  
Yingao Li
Keyword(s):  
Influencing Factors ◽  
Rapid Development ◽  
Linear Regression Analysis ◽  
Mobile Internet ◽  
Growth Spurt ◽  
Utilization Rate ◽  
Feedback Information ◽  
Information Gap ◽  
Short Video ◽  
Information Characteristics

Under the background of the rapid development of the mobile Internet, since 2016, many short video platforms are constantly emerging and become one of the most popular social media today, and accumulate a large number of users. Furthermore, government departments opened government affairs TikTok accounts one after another under the background of growth spurt of the number of short videos. Taking the TikTok short video as an example, in this paper, according to the relevant data of government affairs TikTok account and 197 questionnaires, linear regression analysis is used to conduct research from the four aspects: social and economic environment, use feedback, information gap, and information characteristics, explore the public use condition and influencing factors for government affairs TikTok a at present in the hope of providing constructive suggestions for the optimization and development of government affairs short video. The study found that the penetration and utilization rate of government affairs short video is low, and the respondents who follow government affairs in the form of short videos are less than 20%.

The Analysis of Factors Affecting Consumer Mobile Shopping

2014 ◽  
Vol 912-914 ◽  
pp. 1432-1435 ◽  
Author(s):  
Yin Yin Wang
Keyword(s):  
Marketing Strategy ◽  
Influencing Factors ◽  
Rapid Development ◽  
Mobile Internet ◽  
Shopping Behavior ◽  
The Internet ◽  
Factors Affecting ◽  
The Road ◽  
Mobile Shopping ◽  
The Impact

With the rapid development of the Internet and handle devices rapidly growing popularity, especially 3G / 4G network continues to develop, making the mobile shopping. Mobile Internet and other services are no longer out of reach. Enterprises in order to provide consumers with a better service must proceed from the perspective of consumers. Their double clear consumer mobile shopping and influencing factors have factors on the impact of consumers. Using mobile shopping can develop effective marketing strategy, and actively seeking to develop the road, so as to continuously promote the development of mobile shopping. This paper analyzes the characteristics of mobile shopping behavior of consumers, identifies the factors affecting consumer mobile shopping, and concludes with recommendations for the development of mobile shopping.

scholarly journals Identification of Key Influencing Factors of User Experience of Mobile Reading APP in China Based on the Fuzzy-DEMATEL Model

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yi Zhang ◽  
Xing Rong ◽  
Mengfei Shu ◽  
Qiang Chen
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
User Experience ◽  
Information Quality ◽  
Rapid Development ◽  
Algorithm Design ◽  
Mobile Internet ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Research Perspective

With the rapid development of the mobile Internet, mobile reading has transcended the limitation of time and space, becoming an indispensable part of people’s living and learning. As the direct service object of mobile reading APP, users’ subjective use experience is decisive in the success or failure. It is of great significance to identify the key influencing factors of user experience of mobile reading APP. It is conducive not only to improving users reading experience and increasing users stickiness but also to improving mobile reading service quality, which is essential to promote the healthy and sustainable development of mobile reading APP. From the perspective of user experience, content analysis and questionnaire survey are used to construct the index system of influencing factors of mobile reading APP user experience, which includes 6 dimensions of reliability, usefulness, thoughtfulness, interactivity, security, and compatibility, and 21 influencing factors. Based on the decision-making trial and evaluation laboratory (DEMATEL) method, introducing the triangular fuzzy number, the fuzzy decision-making trial and evaluation laboratory (fuzzy-DEMATEL) model is established, extending the single value of the comparison matrix to a fuzzy interval and then giving the decision makers a proper judgment space. The key influencing factors of mobile reading APP user experience are identified by algorithm design. Ultimately, the 10 key influencing factors of mobile reading APP user experience are identified, which are information quality, content richness, value fit, copyright protection, timeliness, personalized service, reading function richness, interpersonal interaction, system performance, and privacy protection, and suggestions for improving the user experience of mobile reading APP are put forward to provide reference for mobile reading APP developers. The research results not only enrich and perfect the theoretical and practical research in the mobile reading field to a certain extent, providing a new research perspective for the field of mobile reading, but also effectively solve the defects of the traditional DEMATEL method that expert judgment is subjectively biased and difficult to express with an exact number directly. The research expands the application scope of DEMATEL.

scholarly journals Personalized Marketing Recommendation System of New Media Short Video Based on Deep Neural Network Data Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Feifeng Huang
Keyword(s):  
Neural Network ◽  
Social Media ◽  
New Media ◽  
Recommendation System ◽  
Rapid Development ◽  
Mobile Internet ◽  
Data Set ◽  
Data Volume ◽  
Short Video ◽  
Specific Implementation

With the rapid development of mobile Internet, short video has become another darling after traditional webcast in recent years. How to make full use of short video for effective marketing has become a hot issue that academia and industry are paying close attention to. This article is mainly aimed at exploring practical new media through in-depth research and exploration of the specific implementation methods and strategies of short video marketing in social media, based on the advantages and characteristic models of short video marketing in social media. The strategy of short video marketing in social media, and the use of highly in-depth neural network analysis technology for the personalized marketing recommendation system of new media short videos, so as to better promote the use of social media short videos by enterprises or individuals. We have to learn from marketing activities. The experimental results of this article show that when the data volume reaches 80%, the performance of the VRBCH algorithm steadily improves, so the performance of the main F of the VRBCH algorithm is still relatively ideal when the data volume changes. Due to the high dilution of the experimental data set, the amount of data in the VRBCH algorithm has increased sharply by 30% to 35%, but the purchase rate of the marketing recommendation system is as high as 98%. Therefore, the system has high feasibility.

Status quo of Nursing Informatics Competencies for Nurses Under Standardized Training -A Cross-Sectional Study (Preprint)

2019 ◽  
Author(s):  
Kejimu Sunzi ◽  
Cheng Lei ◽  
Zhuoyuanyuan Chen ◽  
Baolu Zhang
Keyword(s):  
Influencing Factors ◽  
Online Survey ◽  
Rapid Development ◽  
Professional Knowledge ◽  
Clinical Information ◽  
The Internet ◽  
Nursing Informatics ◽  
Self Assessment ◽  
Cross Sectional ◽  
Knowledge And Skills

BACKGROUND The rapid development of health information technology has an increasingly significant impact on nursing work. The development of informatization also puts forward higher requirements for nurses under standardized training (NUST). Informatics knowledge and skills are essential if clinicians are to master the large volume of information generated in healthcare today. Nurses with competent nursing informatics competencies (NIC) will be able to better adapt to the needs of work and the development of the times. OBJECTIVE This study aimed to explore, analyze, and discuss the current situation of NIC of NUST in China, and analyze the influencing factors, to provide references for improving the NIC of NUST. METHODS We conducted a cross-sectional survey of standard training nurses' NIC in a tertiary hospital in Sichuan Province, China, with convenience sampling. The study consists of two parts included socio-demographic characteristics and NIC, a self-designed general information questionnaire, and a Self-Assessment Nursing Informatics Competency Scale-SF28 were used as survey tools. An online survey collected the data, and the scores of nurses' NIC were analyzed, and the factors were determined by linear regression statistical analysis. RESULTS Overall 191 target population responded to the questionnaire, including 22 males (11.52%) and 169 females (88.48%), the age range was 21 to 28 years, the average age was 24.64 (SD 1.43). 53 persons without computer level certificate (27.75%), 138 persons with computer level certificate (72.25%), the total score of Self-Assessment Nursing Informatics Competency Scale was 68.65 (SD 10.47), the scores of each dimension were role of clinical information 10.12 (SD 2.17), basic computer knowledge and skills 26.64 (SD 4.96), application ability of computer skills 7.16 (SD 1.82), wireless equipment skills 8.02 (SD 2.04), nursing information attitude 16.73 (SD 3.25). In the analysis of influencing factors of NIC, “whether learned professional knowledge through the internet” is the influencing factor of NIC (P< .05). CONCLUSIONS The clinical nursing informatics (NC) of nurses was at a medium level, mainly influenced by “whether learned professional knowledge through the internet.” In the future regulation process, it is necessary to strengthen further the capacity training of information to improve their clinical information decision-making ability and better serve patients.

scholarly journals Mapping the Sharing Economy in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6333
Author(s):  
Chan Liu ◽  
Raymond K. H. Chan ◽  
Maofu Wang ◽  
Zhe Yang
Keyword(s):  
Global Economy ◽  
Rapid Development ◽  
Sharing Economy ◽  
Essential Elements ◽  
Mobile Internet ◽  
Internet Technology ◽  
Short Term ◽  
Bona Fide ◽  
The Government ◽  
Idle Capacity

Harnessing the rapid development of mobile internet technology, the sharing economy has experienced unprecedented growth in the global economy, especially in China. Likely due to its increasing popularity, more and more businesses have adopted this label in China. There is a concern as to the essential meaning of the sharing economy. As it is difficult to have a universally accepted definition, we aim to map the sharing economy and demystify the use of it in China in this paper. We propose seven organizing essential elements of the sharing economy: access use rights instead of ownership, idle capacity, short term, peer-to-peer, Internet platforms mediated, for monetary profit, and shared value orientation. By satisfying all or only parts of these elements, we propose one typology of sharing economy, and to differentiate bona fide sharing economy from quasi- and pseudo-sharing economy. Finally, there are still many problems that need to be solved urgently in the real sharing economy from the perspective of the government, companies and individuals.

scholarly journals Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Jun Li ◽  
Qiang Dong ◽  
Yan Fu
Keyword(s):  
Rapid Development ◽  
User Preferences ◽  
Mobile Internet ◽  
Smart Devices ◽  
Data Sets ◽  
Rating Data ◽  
Temporal Effect ◽  
Proposed Model ◽  
Target User ◽  
The Difference

As the rapid development of mobile Internet and smart devices, more and more online content providers begin to collect the preferences of their customers through various apps on mobile devices. These preferences could be largely reflected by the ratings on the online items with explicit scores. Both of positive and negative ratings are helpful for recommender systems to provide relevant items to a target user. Based on the empirical analysis of three real-world movie-rating data sets, we observe that users’ rating criterions change over time, and past positive and negative ratings have different influences on users’ future preferences. Given this, we propose a recommendation model on a session-based temporal graph, considering the difference of long- and short-term preferences, and the different temporal effect of positive and negative ratings. The extensive experiment results validate the significant accuracy improvement of our proposed model compared with the state-of-the-art methods.

scholarly journals Factors influencing general practitioners’ perception of and attitude towards dementia diagnostics and care—results of a survey among primary care physicians in Germany

2021 ◽  
Author(s):  
Julian Wangler ◽  
Michael Jansky
Keyword(s):  
Primary Care ◽  
Influencing Factors ◽  
General Practitioners ◽  
Primary Care Physicians ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Interdisciplinary Cooperation ◽  
Practice Staff ◽  
People With Dementia ◽  
Dementia Diagnostics

SummaryStudies have shown that primary care is not always effective when it comes to caring for people with dementia. In addition, general practitioners do not always use diagnostic instruments consistently. The aim of the study was to identify relevant factors that influence general practitioners’ attitudes and willingness with respect to consistent diagnosis and care. For this purpose, resources, viewpoints, and behavioral patterns of general practitioners with regard to dementia diagnostics as well as common challenges in everyday practice were recorded. In the course of a survey, a total of 2266 general practitioners in Hesse and Baden-Württemberg were interviewed between January and March 2020. In addition to the descriptive analysis, a t-test was used to determine significant differences between two groups. A univariate linear regression analysis was carried out to identify possible influencing factors. 81% of the respondents do provide dementia diagnostics; 51% are involved in the treatment. Most of them see the diagnostic work-up (77%), communication and compliance problems (73%), as well as the therapeutic support (71%) as common challenges. In addition, there are interface problems regarding the interdisciplinary cooperation. Some of the respondents express doubts about the value of early detection (41%). The general practitioners’ attitude with respect to dementia diagnostics and care is determined by influencing factors that relate to geriatric competencies, expectations of self-efficacy, the integration of practice staff, as well as the knowledge of and cooperation with counseling and care services. It seems advisable to strengthen the geriatric competence of general practitioners. Moreover, it appears essential to educate general practitioners more about support structures in the field of dementia care and to integrate them accordingly. In addition, practice staff should be more systematically involved in the identification and care of dementia patients.

scholarly journals An Analysis of the Influencing Factors of the End of City Logistics Distribution on the Base of Interpretive Structural Model

2016 ◽  
Vol 11 (7) ◽  
pp. 163
Author(s):  
Xinyi Dong ◽  
Hongmei Ju ◽  
Sifan Yin
Keyword(s):  
Influencing Factors ◽  
Structural Model ◽  
Rapid Development ◽  
City Logistics ◽  
Information Feedback ◽  
Logistics Distribution ◽  
Whole Process ◽  
Express Industry ◽  
Interpretive Structural Model ◽  
The City

<p>E-commerce has a rapid development with the advent of the Internet era, the era of “Internet +” also let many industries to find new opportunities. Now online shopping has become a mainstream to meet the needs of people’s life, especially in the developed cities, more and more people are willing to buy all sorts of goods in e - Bay, Amazon, Sunning, JD and other large e-commerce enterprises. Business enterprise needs to deliver intact goods quickly to customers to improve customers’ intention of purchasing. So the development of e-commerce and express industry is closely linked. The end of the city logistics needs to contact with consumers directly as the last part of the whole process in normal logistics distribution, which may occur some problems about the damage of goods, slow information feedback, service quality and other issues will reduce the satisfaction of consumers and affect reputation of companies. This article use ISM technology to analyze the influencing factors of the logistics of the ecommerce enterprise from the perspective of consumers, and divide all of the factors into three levels, each level contains different meanings which make a reference for the trend of development of the end of city logistics distribution. </p>

scholarly journals Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yanni Liu ◽  
Dongsheng Liu ◽  
Yuwei Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Sentiment Analysis ◽  
Smart City ◽  
Topic Model ◽  
Rapid Development ◽  
Mobile Internet ◽  
Time Curve ◽  
Public Opinions ◽  
The Social

With the rapid development of mobile Internet, the social network has become an important platform for users to receive, release, and disseminate information. In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. In view of social networks’ characteristics such as short text, rich topics, diverse sentiments, and timeliness, this paper conducts text modeling with words co-occurrence based on the topic model. Besides, the sentiment computing and the time factor are incorporated to construct the dynamic topic-sentiment mixture model (TSTS). Then, four hot events were randomly selected from the microblog as datasets to evaluate the TSTS model in terms of topic feature extraction, sentiment analysis, and time change. The results show that the TSTS model is better than the traditional models in topic extraction and sentiment analysis. Meanwhile, by fitting the time curve of hot events, the change rules of comments in the social network is obtained.

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