TCLOUD: Inter - Node Communication Model Based on Social Trust Framework for Cloud Computing

2013 ◽  
Vol 717 ◽  
pp. 688-695
Author(s):  
Sultan Ullah ◽  
Xue Feng Zheng ◽  
Feng Zhou
Keyword(s):  
Cloud Computing ◽  
Social Trust ◽  
Social Model ◽  
Communication Model ◽  
Open Environment ◽  
The Social ◽  
Trust Degree ◽  
Computing Industry ◽  
Negative Effect ◽  
And Behavior

Cloud computing is presently being paid much attention as a way of distribution and sharing out of information. Similarly, as latest experience illustrates, the unspecified, open environment of this technology presents more or less an idealistic environment for the augmented unauthentic communication. The issue of having trust in cloud computing is a main apprehension for the majority of computing industry. Presently, the important contents for research in cloud computing is to evaluate the trust and behavior based computing. The uncertainty of cloud nodes, the services and resources cloud provide may have a negative effect on the execution of cloud tasks. This makes it very difficult for the cloud node to interact effectively and increase the chances of transaction failures. The authors proposed a model, and design an algorithm of trust which is based on the social model of reputation and trust. The algorithm calculates the trust degree of a node before any communication take place between the nodes. This reduces the chances of failure and increase communication efficiency.

scholarly journals Social Class—Not Income Inequality—Predicts Social and Institutional Trust

2021 ◽  
pp. 194855062199927
Author(s):  
Youngju Kim ◽  
Nicolas Sommet ◽  
Jinkyung Na ◽  
Dario Spini
Keyword(s):  
Social Class ◽  
Income Inequality ◽  
Multilevel Analysis ◽  
Large Scale ◽  
Social Trust ◽  
Lower Class ◽  
Institutional Trust ◽  
The Social ◽  
Negative Effect ◽  
Cross National

Trust is the social glue that holds society together. The academic consensus is that trust is weaker among lower-class individuals and in unequal regions/countries, which is often considered a threat to a healthy society. However, existing studies are inconsistent and have two limitations: (i) variability in the measurement of social class and (ii) small numbers of higher level units (regions/countries). We addressed these problems using large-scale (cross-)national representative surveys (encompassing 560,000+ participants from 1,500+ regional/national units). Multilevel analysis led to two consistent sets of findings. First, the effects of social class on social trust were systematically positive, whereas the effects on institutional trust depended on the way social class was measured. Second, the effects of income inequality on social and institutional trust were systematically nonsignificant and smaller than the smallest negative effect of interest. Our findings suggest that researchers need to update their knowledge: social class—not income inequality—predicts trust.

Using Binding Communication to Promote Conservation Among Hotel Guests

2015 ◽  
Vol 74 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Lohyd Terrier ◽  
Benedicte Marfaing
Keyword(s):  
Low Cost ◽  
Communication Strategies ◽  
Communication Strategy ◽  
Communication Model ◽  
Classical Communication ◽  
Persuasive Message ◽  
Sustainable Behavior ◽  
And Behavior ◽  
Attitudes And Behavior

This research applies the binding communication model to the sustainable communication strategies implemented in most hotels. The binding communication model links a persuasive message with the implementation of a low-cost commitment to strengthen the link between the attitudes and behavior of those receiving the message. We compared the effectiveness of a classical communication strategy (n = 86) with that of a binding communication strategy (n = 101) to encourage guests to choose sustainable behavior. Our results show that using the binding communication strategy generates significantly more sustainable behavior in guests than using the classical communication strategy. We discuss our results and suggest future avenues of research.

TrustSVD: A Novel Trust-Based Matrix Factorization Model with User Trust and Item Ratings

2017 ◽  
Vol 7 (11) ◽  
pp. 7 ◽  
Author(s):  
K Sobha Rani
Keyword(s):  
Matrix Factorization ◽  
Social Trust ◽  
State Of The Art ◽  
Data Sets ◽  
Real World Data ◽  
Recommendation Algorithm ◽  
Active User ◽  
Factorization Model ◽  
The Social ◽  
Matrix Factorization Technique

Collaborative filtering suffers from the problems of data sparsity and cold start, which dramatically degrade recommendation performance. To help resolve these issues, we propose TrustSVD, a trust-based matrix factorization technique. By analyzing the social trust data from four real-world data sets, we conclude that not only the explicit but also the implicit influence of both ratings and trust should be taken into consideration in a recommendation model. Hence, we build on top of a state-of-the-art recommendation algorithm SVD++ which inherently involves the explicit and implicit influence of rated items, by further incorporating both the explicit and implicit influence of trusted users on the prediction of items for an active user. To our knowledge, the work reported is the first to extend SVD++ with social trust information. Experimental results on the four data sets demonstrate that our approach TrustSVD achieves better accuracy than other ten counterparts, and can better handle the concerned issues.

Industry 4.0: The Importance Factors of Innovation in Adopting Cloud Computing Among SMES in Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 84-84
Author(s):  
Siti Salwa Sheikh Mokhtar ◽  
Anuar Shah Bali Mahomed ◽  
Yuhanis Abdul Aziz ◽  
Suhaimi Ab. Rahman
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Equation Model ◽  
Computing Industry ◽  
Global Economic Growth ◽  
Acceptance Model ◽  
Third Industrial Revolution

Small and medium-sized enterprises (SMEs) are commonly perceived as an essential part of boosting and stabilizing global economic growth. In 2018, SMEs recorded a 38.3% contribution to GDP of RM521.7 billion compared to RM491.2 billion in 2017. SMEs are expected to contribute 50% to Malaysia's GDP by 2030 relative to its present 38% contribution. However, in the context of Malaysia businesses, particularly small and medium-sized enterprises, are still not embracing the latest technology revolution sufficiently, as reported by the Ministry of International Trade and Industry (2018). Malaysia is currently in the third industrial revolution (automation), and some are still under the second industrial revolution. Such matter is worrying as only a few industries in Malaysia can adopt pillars of Industry 4.0, where business owners in Malaysia were still hesitant to embrace technologies such as the cloud. To bridge the gap in this analysis, this research adopted the technology acceptance model developed by Davis (1989) and Rogers' Diffusion Innovation Theory (1995), which incorporates the contexts of technology and innovation among SMEs in Malaysia. By using survey questionnaires, data was collected among manufacturing and services SMEs in Malaysia. Structural equation model employed to assess the important factors of innovation in adopting cloud computing among SMEs in Malaysia by using Smart-PLS. Keywords: Cloud computing, Industry 4.0, Innovation, Technological

The role of pathos: from argumentative responses to feeling and emotions

2017 ◽  
Author(s):  
Michel Meyer
Keyword(s):  
Short Distance ◽  
Social World ◽  
Legal Rhetoric ◽  
Law And Politics ◽  
The Social ◽  
And Behavior ◽  
First Time

Chapter 10 is devoted to the role of emotions or pathos. Pathos was the term ordinarily used to denote the notion of audience. For the first time since Aristotle, emotions receive a full role in a treatise on rhetoric. The responses of the audience are modulated by its emotions. What is their nature and how precisely do they operate? The areas of political and legal rhetoric are examined here in the light of an original view of the theory of distance: values at greater distance become passions at short distance, and this is one of the features which demarcates politics from law. Law and politics are not merely argumentative, nor are they entirely emotional. The norms they codify are often implicit in their shaping of our mutual expectations and behavior in the social world.

A chronology of Distributed Adaptive Control

2018 ◽  
Author(s):  
Paul F. M. J. Verschure
Keyword(s):  
Adaptive Control ◽  
Human Robot Interaction ◽  
Integration Framework ◽  
The Social ◽  
Distributed Adaptive Control ◽  
Core Components ◽  
Mind And Brain ◽  
Convergent Validation ◽  
The Mind ◽  
And Behavior

This chapter presents the Distributed Adaptive Control (DAC) theory of the mind and brain of living machines. DAC provides an explanatory framework for biological brains and an integration framework for synthetic ones. DAC builds on several themes presented in the handbook: it integrates different perspectives on mind and brain, exemplifies the synthetic method in understanding living machines, answers well-defined constraints faced by living machines, and provides a route for the convergent validation of anatomy, physiology, and behavior in our explanation of biological living machines. DAC addresses the fundamental question of how a living machine can obtain, retain, and express valid knowledge of its world. We look at the core components of DAC, specific benchmarks derived from the engagement with the physical and the social world (the H4W and the H5W problems) in foraging and human–robot interaction tasks. Lastly we address how DAC targets the UTEM benchmark and the relation with contemporary developments in AI.

Central Banks and the New Regulatory Regime for Banks

2019 ◽  
pp. 502-527
Author(s):  
David T. Llewellyn
Keyword(s):  
Central Banks ◽  
Employee Attitudes ◽  
Social Costs ◽  
Regulatory Regime ◽  
Bank Failures ◽  
The Social ◽  
Global Banking ◽  
Regulated Firms ◽  
And Behavior ◽  
Attitudes And Behavior

The most serious global banking crisis in living memory has given rise to one of the most substantial changes in the regulatory regime of banks. While not all central banks have responsibility for regulation, because they are almost universally responsible for systemic stability, they have an interest in bank regulation. Two core objectives of regulation are discussed: lowering the probability of bank failures and minimizing the social costs of failures that do occur. The underlying culture of banking creates business standards and employee attitudes and behavior. There are limits to what regulation can achieve if the underlying cultures of regulated firms are hazardous. There are limits to what can be achieved through detailed, prescriptive, and complex rules, and when, because of what is termed the endogeneity problem, rules escalation raises issues of proportionality, a case is made for banking culture to become a supervisory issue.

The path of support-to-sales: mediating role of seller collaborative information exchange in social commerce

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Chen ◽  
Fengxia Zhu ◽  
Murali Mantrala
Keyword(s):  
Information Exchange ◽  
Instrumental Support ◽  
Trade Volume ◽  
Social Commerce ◽  
Content Type ◽  
Mediating Role ◽  
The Social ◽  
Source Data ◽  
Negative Effect

Purpose This paper aims to systematically investigate the direct and indirect effects of four types of support – peer instrumental support, peer emotional support, platform business support and platform communication support – on seller trade volume in social commerce. It also aims to uncover the path of support-to-sales of the seller from a platform perspective and provides a more complete picture of the social commerce phenomenon. Design/methodology/approach This paper uses multi-source data including primary survey data and secondary data on trade volume to test the hypotheses. PROCESS mediation model is used to analyze the multi-source data set. Findings This study finds that the positive effects of peer instrumental support, platform business support and platform communication support on seller trade volume are fully mediated by seller collaborative information exchange. Also, peer emotional support has a significant negative effect on seller trade volume and collaborative information exchange can serve as a buffer to mitigate the negative effect. Research limitations/implications The authors provide new insights into what types of support are or are not conducive to improving transaction volume of individual sellers and highlight the mediating role of seller information exchange in this value generation process in social commerce. These findings advance current knowledge of how seller interactions increase value in social commerce. The chosen research setting may limit the generalizability of the findings of this study. Practical implications This paper offers valuable implications for social commerce platforms on how to better serve their sellers to achieve high growth. Specifically, the findings suggest that platforms should encourage instrumental support and information exchange among peer sellers. In addition, platforms should expand seller support from a single-focus on sellers’ business to a dual-focus on both sellers’ business and socialization in social commerce. Originality/value This paper fulfills an identified need to study how sellers can better derive value from the social interactions and how social commerce platforms can effectively influence transactions, support sales and serve as a selling platform.

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