Search engine: The social relationship driving power of Internet of Things

2019 ◽  
Vol 92 ◽  
pp. 972-986 ◽  
Author(s):  
Cai Fu ◽  
Chenchen Peng ◽  
Xiao-Yang Liu ◽  
Laurence T. Yang ◽  
Jia Yang ◽  
...  
Author(s):  
Patrick M. Morgan

This chapter focuses on the social aspects of strategy, arguing for the importance of relationships in strategy and, in particular, in understanding of deterrence. Deterrence, in its essence, is predicated upon a social relationship – the one deterring and the one to be deterred. Alliance and cooperation are important in generating the means for actively managing international security. Following Freedman’s work on deterrence in the post-Cold War context, ever greater interaction and interdependence might instill a stronger sense of international community, in which more traditional and ‘relatively primitive’ notions of deterrence can be developed. However, this strategic aspiration relies on international, especially transatlantic, social cohesion, a property that weakened in the twenty-first century, triggering new threats from new kinds of opponent. The need for a sophisticated and social strategy for managing international security is made all the more necessary.


foresight ◽  
2014 ◽  
Vol 16 (4) ◽  
pp. 309-328 ◽  
Author(s):  
Evgeniya Lukinova ◽  
Mikhail Myagkov ◽  
Pavel Shishkin

Purpose – This paper aims to study the value of sociality. Recent experimental evidence has brought to light that the assumptions of the Prospect Theory by Kahneman and Tversky do not hold in the proposed substantive domain of “sociality”. In particular, the desire to be a part of the social environment, i.e. the environment where individuals make decisions among their peers, is not contingent on the framing. Evolutionary psychologists suggest that humans are “social animals” for adaptive reasons. However, entering a social relationship is inherently risky. Therefore, it is extremely important to know how much people value “sociality”, when the social outcomes are valued more than material outcomes and what kinds of adaptations people use. Design/methodology/approach – We develop a new theory and propose the general utility function that features “sociality” component. We test the theory in the laboratory experiments carried out in several countries. Findings – Our results suggest that when stakes are low the theory of “sociality” is successful in predicting individual decisions: on average, people do value “sociality” and it surpasses the monetary loss. Originality/value – The main contribution of this paper is the breakdown of the risk attitudes under low stakes and individual level of decision-making. Another advancement is the ability to formalize the social utility or the theory of “sociality” in an economic model; we use general utility function that we define both on the outcomes and on the process of the decision-making itself and test in laboratory studies.


2006 ◽  
Vol 25 (2) ◽  
pp. 226-239 ◽  
Author(s):  
Jianmin Guan ◽  
Ron E. McBride ◽  
Ping Xiang

Two types of social goals associated with students’ academic performance have received attention from researchers. One is the social responsibility goal, and the other is the social relationship goal. While several scales have been validated for measuring social relationship and social responsibility goals in academic settings, few studies have applied these social goal scales to high school students in physical education settings. The purpose of this study was to assess the reliability, validity, and generalizability of the scores produced by the Social Goal Scale-Physical Education (SGS-PE) in high school settings. Participants were 544 students from two high schools in the southern United States. Reliability analyses, principal components factor analysis, confirmatory factor analysis, and multistep invariance analysis across two school samples revealed that the SGS-PE produced reliable and valid scores when used to assess students’ social goal levels in high school physical education settings.


Pólemos ◽  
2015 ◽  
Vol 9 (2) ◽  
Author(s):  
Christian Biet

AbstractTheatre and law are not so different. Generally, researchers work on the art of theatre, the rhetoric of the actors, or the dramaturgy built from law cases or from the questions that the law does not completely resolve. Trials, tragedies, even comedies are close: everybody can see the interpenetration of them on stage and in the courts. We know that, and we know that the dramas are made with/from/of law, we know that the art the actors are developing is not so far from the art of the lawyers, and conversely. In this paper, I would like to have a look at the action of the audience, at the session itself and at the way the spectators are here to evaluate and judge not only the dramatic action, not only the art of the actors, not only the text of the author, but also the other spectators, and themselves too. In particular, I will focus on the “common judgment” of the audience and on its judicial, aesthetic and social relationship. The spectators have been undisciplined, noisy, unruled, during such a long period that theatre still retains some prints of this behaviour, even if nowadays, the social and aesthetic rule is to be silent. But uncertainty, inattention, distraction, contradiction, heterogeneity are the notions which characterise the session, and the judgments of the spectators still depend on them. So, what was and what is the voice of the audience? And with what sort of voice do spectators give their judgments?


Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1257
Author(s):  
Gabriel Eggly ◽  
Mariano Finochietto ◽  
Emmanouil Dimogerontakis ◽  
Rodrigo Santos ◽  
Javier Orozco ◽  
...  

Internet of Things (IoT) have become a hot topic since the official introduction of IPv6. Research on Wireless Sensors Networks (WSN) move towards IoT as the communication platform and support provided by the TCP/UDP/IP stack provides a wide variety of services. The communication protocols need to be designed in such a way that even simple microcontrollers with small amount of memory and processing speed can be interconnected in a network. For this different protocols have been proposed. The most extended ones, MQTT and CoAP, represent two different paradigms. In this paper, we present a CoAP extension to support soft real-time communications among sensors, actuators and users. The extension facilitates the instrumentation of applications oriented to improve the quality of life of vulnerable communities contributing to the social good.


2022 ◽  
Vol 2 (1) ◽  
pp. 34-43
Author(s):  
ADITYA ZULMI RAHMAWAN ◽  
ZAENURIYAH EFFENDI

The COVID-19 pandemic poses problems in various sectors. The most vulnerable sector in this situation is the social sector, especially education. Problems such as the learning process make the continuity of education a concern. This is a challenge for the community in the era of society 5.0 in the hope of overcoming the problems that arise due to the Covid-19 pandemic. The use of big data, artificial intelligence, and the internet of things is an alternative effort to help deal with the impact of the pandemic in accordance with the conditions in this disruptive era. This study aims to determine the policies and strategies of society 5.0 in the learning process as an effort to handle the impact of the pandemic. This study uses a systematic review research method of literature published by scientific journals in the period January 2010 to December 2021. The data used comes from published journals related to the topics studied and from various electronic media. The results of the study can find out strategies in the learning process in the implementation of society 5.0 in policies in the field of education as an effort to deal with the impact of the covid-19 pandemic. ABSTRAKPandemi covid-19 memberikan permasalahan di berbagai sektor. Sektor yang paling rentan dalam situasi ini adalah sektor sosial terutama pada pendidikan. Permasalahan seperti proses pembelajaran membuat keberlangsungan pendidikan menuai kekhawatiran. Hal ini menjadi sebuah tantangan bagi masyarakat di era society 5.0 dengan harapan dapat mengatasi permasalahan yang timbul akibat pandemi Covid-19. Pemanfaatan big data, artificial intelligent, dan internet of things menjadi upaya alternatif dalam membantu menangani dampak pandemi yang sesuai dengan keadaan di era disruptif ini. Penelitian ini bertujuan untuk mengetahui kebijakan dan strategi society 5.0 dalam proses pembelajaran sebagai upaya penanganan dampak pandemi. Penelitian ini menggunakan metode penelitian tinjauan sistematis terhadap literatur yang diterbitkan oleh jurnal ilmiah pada periode Januari tahun 2010 hingga Desember 2021. Sumber yang digunakan berasal dari jurnal-jurnal yang sudah dipublikasikan terkait dengan topik yang dikaji dan dari berbagai media elektronik. Hasil penelitian dapat mengetahui strategi dalam proses pembelajaran dalam implementasi society 5.0 pada kebijakan di bidang pendidikan sebagai upaya menghadapi dampak pandemi covid-19.


2021 ◽  
Vol 9 (SPE3) ◽  
Author(s):  
Noora Rahmani ◽  
Ezgi Ulu

Emotional intelligence, attachment style, and self-esteem are important variables in social interaction that can affect the social relationship. Also having one child is an important issue in which parents are worried about it which is the adolescent's single families have weaknesses in social relationships and interaction? In this study, the researcher tries to investigate the relationship between emotional intelligence, attachment style, and self-esteem in single-child and two-children adolescents aged range 13-17 (male and female).


2014 ◽  
Vol 10 (4) ◽  
pp. 2023-2031
Author(s):  
Shalmali A. Patil ◽  
Reena Pagare

Lots of people employ recommender systems to diminish the information overload over the internet. This leads the user in a personalized manner to hit upon interesting or helpful objects in a huge space of possible options. Amongst different techniques, Collaborative filtering recommender system has pulled off great success. But this technique pays no heed towards the social relationship of the users. This problem gave birth to the Social recommender system technology which possesses the capability to recognize users likings and preferences and their social relationships. In this paper, we present novel method where we combine collaborative filtering recommender system with social friend network to use social relationships. For this, we have made use of data related to users which provides their interests as well as their social relationship. Our method helps to find the friends with dissimilar tastes and determine the close friends amongst direct friends of targeted user which has more similar tastes. This proposed approach resulted in more precise and realistic results than traditional system.


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