scholarly journals Individual Licensing Models and the Role of Internet Platform Providers

Author(s):  
Kung-Chung Liu
Keyword(s):  
2020 ◽  
Vol 214 ◽  
pp. 01015
Author(s):  
Fei Zhang ◽  
Shiwei Xu

Big data analysis and processing technology are developing rapidly, and the application fields have continued to expand. Internet platform enterprises have fully enjoyed the technological dividends. In terms of their social responsibility governance, new breakthroughs could be achieved through big data empowerment. Firstly, the important role of big data empowerment in enterprise management is clarified, and the paper analyzes the characteristics of Internet platform industry. Considering the complex situation Internet platform enterprises are facing up with, a big data empowerment method is proposed to take on better governance of corporate social responsibility. Then, the research presents a comprehensive theoretical framework of “The Model of Big Data Empowerment in Social Responsibility Governance of Internet platform enterprises”. It reveals that, big data empowerment provides a new dimension of social responsibility governance model for Internet platform enterprises, and the rational use of big data related technologies will help companies to better fulfill their social responsibilities.


Machine learning techniques are used to verify the many kinds of loan prediction problems. This study pursueS two major goals. Firstly, this paper is to understand the role of variables in loan prediction modeling better. Secondly, the study evaluates the predictive performance of the decision trees. The corresponding variable information is drawn from a third-party website, international challenge on the popular internet platform Kaggle (www.kaggle.com), which provides data in the title of ‘Loan Prediction’ that was uploaded by Amit Parajapet. We used decision tree which is a powerful and popular machine learning algorithm to this date for predicting and classifying big data. Based on these results, first, women seem to be more likely to get to loan than men. credit history, self-employed, property area, and applicant income also show significance with loan prediction. This study contributes to the literature regarding loan prediction by providing a global model summarizing the loan prediction determinants of customers’ factors.


2020 ◽  
Vol 6 (1) ◽  
pp. 92
Author(s):  
Lubov G. Antonova ◽  
Alesya I. Makhalova

The article is devoted to the analysis of video interviews in new media in the context of the complex, integrated concept of «hypergenre». The material of video interviews published in YouTube, attempts to characterize genres, a complex combination of which is modern video interviews in new media. Special parameters of the hypergenre should be characterized on the Internet platform, which provides additional tools in genre design, including hyperlinks, video podcasts, special technologies for illustrating and confirming factuality, specific video metaphors and video quotes. The authors believe that, unlike print or television media, this hypergenre on the Internet platform acts simultaneously as an informational, analytical, and as an artistic and journalistic, which provides an opportunity to «consider» the features of related genres included in the integrative genre complex: conversations, chronicle notes, surveys, commentary, investigative journalism and some other media genres. Another feature of modern video interviews, explaining the special role of non-verbal signs, implicitly transmitting semantic signals in the context of video interviews, which include gestures, facial expressions, pro-semitic speaker, his personal image signs and tone of speech. As a result of the study of the new model of video interviews, the authors of the article offer a generalized media toolkit of modern hypergenre education and explain the demand and popularity of such a model in the mass media.


JAMA ◽  
1966 ◽  
Vol 195 (12) ◽  
pp. 1005-1009 ◽  
Author(s):  
D. J. Fernbach
Keyword(s):  

JAMA ◽  
1966 ◽  
Vol 195 (3) ◽  
pp. 167-172 ◽  
Author(s):  
T. E. Van Metre

2018 ◽  
Vol 41 ◽  
Author(s):  
Winnifred R. Louis ◽  
Craig McGarty ◽  
Emma F. Thomas ◽  
Catherine E. Amiot ◽  
Fathali M. Moghaddam

AbstractWhitehouse adapts insights from evolutionary anthropology to interpret extreme self-sacrifice through the concept of identity fusion. The model neglects the role of normative systems in shaping behaviors, especially in relation to violent extremism. In peaceful groups, increasing fusion will actually decrease extremism. Groups collectively appraise threats and opportunities, actively debate action options, and rarely choose violence toward self or others.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2020 ◽  
Vol 43 ◽  
Author(s):  
Stefen Beeler-Duden ◽  
Meltem Yucel ◽  
Amrisha Vaish

Abstract Tomasello offers a compelling account of the emergence of humans’ sense of obligation. We suggest that more needs to be said about the role of affect in the creation of obligations. We also argue that positive emotions such as gratitude evolved to encourage individuals to fulfill cooperative obligations without the negative quality that Tomasello proposes is inherent in obligations.


2020 ◽  
Vol 43 ◽  
Author(s):  
Andrew Whiten

Abstract The authors do the field of cultural evolution a service by exploring the role of non-social cognition in human cumulative technological culture, truly neglected in comparison with socio-cognitive abilities frequently assumed to be the primary drivers. Some specifics of their delineation of the critical factors are problematic, however. I highlight recent chimpanzee–human comparative findings that should help refine such analyses.


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