scholarly journals The Factors Influencing on the Social Networking Service Fatigue and SNS Stresses based on the Smart Phone

2016 ◽  
Vol 25 (4) ◽  
pp. 163-179 ◽  
Author(s):  
Mi Jin Noh ◽  
Sung Hee Jang
Author(s):  
Serhii Puhach

The intensive development of new information and communication technologies (ICT) has led to major changes in society. The widespread use of smartphones and mobile communications has allowed today to create new programs and services to improve human life. This development changes the established habits of human communication, the relationship between society and the environment. A social networking service (SNS) is a service (on a website or through a mobile application) that allows users to share a personal profile and establish contacts with other users. Social networking services affect the territorial organization of society and can be used for the development of both settlements and entire territories to make their development more sustainable and balanced. The study of social networking services is currently on the rise. The joint efforts of many sciences (sociology, psychology, geography, mathematics, statistics, computer science, etc.) are needed to understand the subject essence of the phenomenon and to analyze data. Approaches to the study of social networking services can be divided into three large groups: 1) in terms of human relations and relationships; 2) in terms of content distributed on the network; 3) in terms of spatial aspects of the functioning of the social network. In Ukraine, there are no detailed studies of the spatial aspects of the spread of social networking services at the local level. In the Ternopil region, there is a pattern of concentration of the majority of Facebook and Instagram users in the largest cities, namely Ternopil, Chortkiv, Berezhany, Kremenets. Buchach, Borshchiv, Zalishchyky, Terebovlya, and Shumsk districts stand out among the districts by the number of users. An important indicator that characterizes the spread of social networking services is the penetration rate of the social network, which is calculated as the ratio of the number of users in a certain territory to the population living in it. Cities of regional subordination differ in terms of the penetration rate of SNS. The highest values were observed in Chortkiv, Ternopil, Kremenets cities. The penetration rate of social networking services in the administrative districts of Ternopil region is much lower. A relatively high rate (over 30%) was recorded in Buchach, Berezhany and Shumsk districts. Extremely low penetration rate (less than 5%) is in Zbarazh, Chortkiv, Zboriv districts which are adjacent to the cities of regional subordination. The social networking service Instagram is inferior to Facebook in level of development, and its main users are mainly young people. However, in the territories where the rate of Facebook penetration is the lowest in the region (Ternopil, Zbarazh, Chortkiv, Zboriv districts), the predominance of Instagram is noted. Thus, the main patterns of spatial distribution of SNS’ Facebook and Instagram in Ternopil region are: concentration of users in the largest cities, especially in the regional center Ternopil City (half of Facebook and Instagram users in the region); the number of users is proportional to the population in the territorial unit; small number of users and low penetration rate of the SNS’ in the administrative districts adjacent to the cities of regional subordination Ternopil and Chortkiv; among administrative districts, higher indicators of social network development are typical for northern and southern districts in comparison with central ones. Key words: social networking service (SNS), penetration rate of the SNS, Facebook, Instagram, Ternopil region.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lin Xiao ◽  
Ting Pan ◽  
Jian Mou ◽  
Lihua Huang

PurposeThe purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.Design/methodology/approachA total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.FindingsThe results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.Originality/valueThis study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.


2018 ◽  
pp. 179-195
Author(s):  
Yoshio Nakai

This article explores a language learning experience of a JFL (Japanese as a Foreign language) learner from Hong Kong who uses the social networking service “Niconico Douga”. An analysis of her language learning history revealed that she not only utilized Niconico Douga as a resource bank for learning Japanese, but also that it functioned as a virtual self-access learning space. She learned Japanese language through watching and broadcasting live videos of playing computer games. Niconico Douga acts as a community of practice consisting of people who want to share and exchange information about playing digital games. She acquired Japanese language through practicing in the community of practice that allowed her to participate freely in special interest groups for playing digital games which offered the role models supporting her practice of broadcasting live videos of playing games. The features of Niconico Douga have a great potential for learning Japanese autonomously due to its accessibility and availability of resources. 本稿は、香港出身の日本語学習者Aさん(仮名)が行ったJFL環境下で独学による日本語学習に関する論考である。Aさんは香港では学校などでのフォーマルな日本語教育を受けた経験がなく、日本語に興味を持った中学生のころからニコニコ動画にアップロードされているゲームの実況動画やその生放送を用いて自力で日本語を学んできた。Aさんはゲームを楽しむ、あるいは攻略方法を知るという目的を持った人たちが集まる実況動画や生放送の中から自身に合ったものを選択し、そこでのやり取りを理解してコメントを発信したり、Aさん自身がゲーム実況の生放送をしたりすることを通して日本語を学んできた。Aさんにとって、ニコニコ動画という場は、ゲームに関する実践を通して日本語が学べる実践共同体であると同時に、自身の目的や日本語レベルに合った動画や生放送が見られる保管庫でもあるバーチャルなセルフアクセスラーニングスペースとして機能していたことが分かった。


2017 ◽  
Vol 3 (3) ◽  
pp. 71
Author(s):  
Yi-Wen Fan ◽  
Juo-Tzu Tseng ◽  
Yu-Hsien Fang ◽  
Zheng-Yen Li ◽  
Yea-Huey Su

Mobile Internet is coming. The social networking site application (SNS app) has become an important portal for users accessing social networking services. Based on the point of view of existing social network users, this study integrates the technology value-based adoption model and social influence to propose a framework to investigate factors influencing the use intention of the SNS app. A sample of 223 subjects surveyed from Facebook, it was found that user’s perceived value regarding the SNS app positively affects the use intention of the social networking app. Usefulness and Technicality provided by SNS app positively affects perceived value of the app. In addition, user perceived social influence also positively affects the use intention of the social networking app. Results not only advance knowledge related to social network research, as well as provide practical advice to social networking companies. They also suggest how to attract users to continually participate in social networks. Increase activeness and stickiness is critical for social network companies to facilitate long-term development.


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