scholarly journals Sadharanikaran Model vs Mathematical Model: Analyzing their Relevance in Context of Social Media

2019 ◽  
Vol 7 ◽  
pp. 105-126
Author(s):  
Priya Shaw

The communication process varies according to cultural, political, economic, social, psychological, socio-economic factors from one country to another. The term ‘communication’, however, has been accepted globally though the pattern of communication differs from one society to another. Communication scientists have tried to define communication in a particular context of a particular society. In this study, therefore, Sadharanikaran model from the Eastern perspective and Shannon and Weaver model from the Western perspective have been chosen to study the difference in the pattern of communication. The elements of the models have been studied along with the context of technological communication with particular reference to social media such as Facebook, WhatsApp and Skype.

2015 ◽  
Vol 8 (12) ◽  
pp. 218 ◽  
Author(s):  
Yuni Azzizah

<p class="apa">Since 1998, regional governments in Indonesia have had greater autonomy due to the commencement of a reformation movement across Indonesia. Large portions of education management were delegated to the regional governments. Because of this, the education level varies strongly across Indonesia’ provinces. Referring to the data provided by the Indonesian Bureau of Statistics, it is found that Eastern Indonesia generally has a higher rate of uneducated than Western Indonesia. We review the current condition of Indonesian education in terms of regional disparity among eastern and western provinces and study the correlation between inequality in education and other related aspects, such as social and economic conditions. We find that inequality issues on socio-economic conditions are reflected in the education disparity between Eastern and Western Indonesia. By employing panel data with provinces as units of observations, we find that the difference in regional development among Indonesian provinces influences education issues. By evaluating the standard deviation of the statistic we were able to identify socio-economic factors that influence the regional education disparity.</p>


Populasi ◽  
2018 ◽  
Vol 25 (2) ◽  
pp. 44
Author(s):  
Rindang Ekawati ◽  
Rina Herartri ◽  
Nuraini Nuraini ◽  
Laili Rahayuwati ◽  
Sukamdi Sukamdi

Migrasi merupakan salah satu faktor yang memengaruhi dinamika penduduk, baik melalui jumlah migran maupun fertilitas migran. Jumlah migrasi yang besar ke Provinsi Jawa Barat merupakan salah satu penyebab peningkatan jumlah penduduk yang cukup besar. Jika migran memiliki fertilitas yang lebih tinggi dibandingkan dengan nonmigran, maka pengaruh tersebut akan lebih besar lagi. Penelitian ini bertujuan untuk mengkaji perbedaan fertilitas antara migran dan nonmigran serta faktor-faktor yang memengaruhi fertilitas di Jawa Barat. Data yang digunakan adalah data Survei Sosial Ekonomi Nasional (Susenas) tahun 2015. Analisis dilakukan menggunakan statistik deskriptif dan inferensial. Hasil penelitian menunjukkan terdapat kecenderungan migran memiliki fertilitas yang lebih tinggi dibandingkan dengan nonmigran. Sementara itu, faktor sosial ekonomi yang berpengaruh terhadap fertilitas adalah pendidikan, usia kawin pertama, penggunaan alat kontrasepsi, dan kegiatan utama (pekerjaan).  Migration is one of the factors that influences the dynamics of population, both through the number of migrants and the fertility of migrants. The large number of migrants to West Java Province is one of the causes of a considerable increase in population. If migrants have higher fertility than non-migrants, the effect will be even greater. This study aims to examine the difference of fertility between migrants and non-migrants as well as factors affecting fertility in West Java. The data used is 2015 National Socio-Economic Survey (Susenas). The analysis is done using descriptive and inferential statistics. The results show that there is a tendency for migrants to have higher fertility compared with non-migrants while the socio-economic factors that have an effect on fertility are education, first marriage age, use of contraceptives, and main activities (work).


2020 ◽  
Vol 220 ◽  
pp. 01038
Author(s):  
Vitaly Makoveev ◽  
Evgeny Mazilov ◽  
Irina Akhmetova

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. In this regard, the article based on the analysis of the works of domestic and foreign researchers developed and tested a method for assessing the level of development of innovation in the manufacturing industry, taking into account the volume of output, the degree of involvement of enterprises in the sector of innovation and labor productivity in the production of innovative products. An economic and mathematical model is constructed to determine the degree of influence of socio-economic factors on the level of development of innovative activities in the manufacturing industry.


2021 ◽  
Vol 57 (4) ◽  
pp. 71-74
Author(s):  
Ayush Mishra ◽  
Jogender Singh ◽  
Abhilash Singh Maurya ◽  
Joginder Singh Malik

Any progress in terms of utilization of a new ICT technology or innovation is greatly affected by how well it is perceived by the farmers. The perception of farmers is the product of their personal, social, psychological and economic background. Social media is one such new innovation which is spreading rapidly in rural areas and has transformed the communication process. The present study was conducted in Hisar and Sonipat districts of Haryana, with an objective to analyze the relationship between socio-personal traits of farmers with their perception towards social media. The data were collected personally from 200 respondents comprising 25 farmers from eight selected villages through a structured interview schedule. Findings revealed that 59 per cent of the farmers had neutral perception towards social media followed by 25.50 per cent farmers who had favourable perception. Further, analyses of the relationship between perception and profile of farmers revealed that, education, landholding, family income, cosmopoliteness-localiteness, mass media exposure, social participation, extension contact and extension participation were positively correlated with perception towards social media. It is recommended that there is a need to train farmers on better utilization of social media, use of social media marketing and sensitizing them about the positive aspects of social media.


2018 ◽  
Vol 7 (2) ◽  
pp. 126-134 ◽  
Author(s):  
Ravneet Singh Bhandari ◽  
Ajay Bansal

Companies and business managers know about social media as a phenomenon and its power as a business tool. In various earlier researches many viewpoints, theories and models on online behaviour of individual consumers have been put across and build upon from time to time. However, keeping in mind the exponential growth in digital transactions in India, the digital platform managers of various companies are still data hungry and want data analytics to be done to understand various parameters affecting consumer black box. The focus of this study is on comparison of the psychological and socio-economic factors which affect the behaviour of individual user on social media. A model is proposed here by integrating psychological factors, social media behaviour elements and economic factors, and efforts to predict the impact for the social media usage are made. This research contributes by broadening the paradigm of various learning theories and predicts the online social media usage attitude development factors. This study in particular presents a different point of view about online social media behaviour by examining the effect of psychological and socio-economic elements and the moderating role of individual characteristics. It is an attempt by authors to empirically integrate and understand empirically, and draw a comparison between the impact of psychological and socio-economic factors that influence the consumers’ social media behaviour elements depending on their ability to affect the consumer’s attitude.


R-Economy ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 129-145
Author(s):  
Evgeny V. Sinitsyn ◽  
◽  
Alexander V. Tolmachev ◽  
Alexander S. Ovchinnikov ◽  
◽  
...  

Relevance. The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the socio-economic factors that make modern civilization vulnerable to previously unknown diseases. In this regard, the development of mathematical models describing the spread of pandemics like COVID-19 and the identification of socio-economic factors affecting the epidemiological situation in regions is an important research task. Research objective. This study seeks to develop a mathematical model describing the spread of COVID-19, thus enabling the analysis of the main characteristics of the spread of the disease and assessment of the impact of various socio-economic factors. Data and methods. The study relies on the official statistical data on the pandemic presented on coronavirus sites in Russia and other countries, Yandex DataLens dataset service, as well as data from the Federal State Statistics Service. The data were analyzed by using a correlation analysis of COVID-19 incidence parameters and socio-economic characteristics of regions; multivariate regression – to determine the parameters of the probabilistic mathematical model of the spread of the pandemic proposed by the authors; clustering – to group the regions with similar incidence characteristics and exclude the regions with abnormal parameters from the analysis. Results. A mathematical model of the spread of the COVID-19 pandemic is proposed. The parameters of this model are determined on the basis of official statistics on morbidity, in particular the frequency (probability) of infections, the reliability of the disease detection, the probability density of the disease duration, and its average value. Based on the specificity of COVID-19, Russia regions are clustered according to disease-related characteristics. For clusters that include regions with typical disease-related characteristics, a correlation analysis of the relationship between the number of cases and the rate of infection ( with the socio-economic characteristics of the region is carried out. The most significant factors associated with the parameters of the pandemic are identified. Conclusions. The proposed mathematical model of the pandemic and the established correlations between the parameters of the epidemiological situation and the socio-economic characteristics of the regions can be used to make informed decisions regarding the key risk factors and their impact on the course of the pandemic.


Author(s):  
Irina Mordous

The development of modern civilization attests to its decisive role in the progressive development of institutions. They identified the difference between Western civilization and the rest of the world. Confirmation of the institutional advantages of the West was its early industrialization. The genesis and formation of institutionalism in its ideological and conceptualmethodological orientation occurs as a process alternative to neoclassic in the context of world heterodoxia, which quickly spread in social science. Highlighting institutional education as a separate area of sociocultural activity is determined by the factor of differentiation of institutional theory as a whole. A feature of institutional education is its orientation toward the individual and his/her transformation into a personality. The content of institutional education is revealed through the analysis of the institution, which includes a set of established customs, traditions, ways of thinking, behavioral stereotypes of individuals and social groups. The dynamics of socio-political, economic transformations in Ukraine requires a review of the foundations of national education and determination of the prospects for its development in the 21st century in the context of institutionalism.


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