A Review of Factors Affecting Recommender Decisions in Social Networks for Educational Purposes

2014 ◽  
pp. 261-271 ◽  
Author(s):  
Estefanía Martín ◽  
Isidoro Hernán-Losada ◽  
Pablo A. Haya
Keyword(s):  
Social Networks ◽  
Factors Affecting

Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Interactive Learning ◽  
Influential Factors ◽  
Three Dimensions ◽  
Organizational Level ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

New in understanding the burden of migraine: semantic analysis of the voice of Russian patients – users of Web 2.0

2021 ◽  
Vol 13 (6) ◽  
pp. 73-84
Author(s):  
G. R. Tabeeva ◽  
Z. Katsarava ◽  
A. V. Amelin ◽  
A. V. Sergeev ◽  
K. V. Skorobogatykh ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Networks ◽  
Web 2.0 ◽  
Semantic Processing ◽  
Semantic Analysis ◽  
Text Messages ◽  
The Internet ◽  
Factors Affecting ◽  
Wide Range

Migraine is the second leading cause of maladjustment, and the burden of migraine is determined by its impact on work ability, social activity and family relationships.Objective: to identify the patterns of behavior of Russian patients with migraine, factors affecting their quality of life, and the level of awareness of the disease based on a semantic analysis of messages in Web 2.0.Patients and methods. The study is based on the results of semantic processing (automated analysis of natural language texts, taking into account their meaning) of anonymized messages from 6566 unique authors (patients and their relatives) from social networks and forums (over 73 thousand messages over 10 years, 2010–2020). In addition, the study was carried out exclusively according to the data indicated in the messages. In this regard, complete data for several parameters was not available for analysis. No personal data about the authors of the messages was collected or used. The sex was determined based on the text of the analyzed message. For the study, only open data from the Internet from social networks and forums was used.Results and discussion. A landscape of problems of persons complaining of migraine issues was formed. Factors affecting the quality of life were grouped into four main groups (“Lifestyle restrictions by triggers of migraine attacks”, “Loss of opportunity to work”, “Serious psychological problems”, “Family planning issues”); additional, rarer, but acute problems were also identified. The analyzed messages show that the average number of days with migraines is 9.4 per month; 21.8% of patients report daily migraines. Moreover, most patients have been suffering from attacks for 10 years or more, and 9% of patients – for 30 years or more. The analysis of diagnostic patterns showed that in most cases, patients independently resorted to additional examination methods, while only 13.1% of patients had experience of adequate preventive therapy.Conclusion. The study demonstrated the presence of a wide range of unmet needs, quality of life problems both in patients themselves and their caregivers, as well as a significant social and economic burden of this disease (including a long-term burden on the economy, which can be used as arguments for reimbursing the cost of migraine therapy) based on the text messages on migraine in open sources on the Internet.

scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Nastaran Hajiheydari ◽  
Babak Hazaveh Hesar Maskan ◽  
Mahdi Ashkani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Social Networks ◽  
Mobile Social Network ◽  
Key Factors ◽  
Factors Affecting ◽  
Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

scholarly journals Information dissemination model based on multi-dimensional node influence in social networks

2020 ◽  
Author(s):  
Haiming Wu ◽  
Ruigang Wang ◽  
Lixia Jia ◽  
Likui Feng ◽  
Xu Zhou
Keyword(s):  
Social Networks ◽  
Epidemic Model ◽  
Information Dissemination ◽  
State Transition ◽  
User Interaction ◽  
Multiple Linear Regression Model ◽  
Three Dimensions ◽  
Social Recommendation ◽  
Factors Affecting ◽  
Model Based

Abstract Social network has gradually become the mainstream way for people to obtain and interact with information. The study on the law of information dissemination in social networks is of great significance to enterprise marketing, public opinion control and social recommendation. This paper puts forward a method that use multi-dimensional node influence and epidemic model to illustrate the causes and rules of information dissemination in social networks. Firstly, based on the multiple linear regression model, a measurement method of node influence is proposed from three dimensions: topology, user interaction behavior and information content. Then, taking the node influence as the cause of state transition, the information dissemination model based on the epidemic model is constructed, and the multidimensional factors affecting the information dissemination are analyzed. Meanwhile, the information dissemination trend in social networks is described.

Diffusion of innovations: a guiding framework for public health

2021 ◽  
pp. 140349482110141
Author(s):  
Meesha Iqbal ◽  
Aysha Zahidie
Keyword(s):  
Public Health ◽  
Social Networks ◽  
Behavior Change ◽  
Health Professionals ◽  
Diffusion Of Innovations ◽  
Factors Affecting ◽  
Public Health Professionals ◽  
Behavior Change Interventions ◽  
Doi Model ◽  
Staged Model

Exploring the behavior change process has been of interest and importance to public health professionals, to translate research into practice. Diffusion of innovations (DOI) model has been extensively applied in public health to examine the process by which innovation is passively communicated to individuals and groups. It builds on a staged model of awareness, persuasion, decision, implementation, and confirmation; and categorizes communities into innovators (2.5%), early adopters (13.5%), early majority (34%), late majority (34%) and laggards (16%). It reflects on the diversity of strategies to be applied for different cadres of the society to bring about a wholistic change. Nonetheless, DOI suffers from ‘pro-innovation’ and ‘individual blame’ bias, as it fails to account for the influence of societal, cultural, and extraneous factors affecting individual behavior change. The social networks theory (SNT) in contrast, explains behavior change based on social networks and their influences. It builds on the constructs of homophily, centralization, reciprocity, transitivity, and density; and fills the void in the DOI model. We suggest public health professionals to combine the constructs of DOI and SNT in rolling out behavior change interventions, to yield a comprehensive approach.

scholarly journals Georgian media consumption trends

2020 ◽  
Vol 25 (4) ◽  
pp. 797-807
Author(s):  
Danara B. Kurmanova ◽  
Mohsen Zarifian
Keyword(s):  
Social Networks ◽  
New Media ◽  
Opinion Leader ◽  
Point Of View ◽  
Media Consumption ◽  
Economic Downturn ◽  
Main Hypothesis ◽  
Factors Affecting ◽  
The Media ◽  
Media Market

Article analyzes the media market of Georgia, particularly, the main preferences of the audience in the field of traditional and new media. The review is relevant, since the National Statistics Agency of Georgia has not yet conducted extensive research in the field of media. There are some separated reports and ratings, however, they are conducted by international funds. Thus, they do not study the media market in Georgia systematically, so these reports are partial and inferior. Purpose of the study was to identify the main changes in the field of media consumption in Georgia in the following categories: print, television, radio and new media. The transformation of the media environment served as the main hypothesis of the study. The coronavirus pandemic has accelerated the digitalization of Georgian media, exacerbating the crisis in the print sector and making Internet sites more attractive for large holdings and independent authors in the face of an economic downturn in the media market and optimization. To identify the data, the methods of content analysis, observation and sociological survey were used. Particular attention is paid to the trends that have emerged in the media market in Georgia since the beginning of the pandemic - the main dynamic changes in the Georgian segment of Facebook, the development of the cartoon genre and the preferences of users of social networks. The study covered a number of factors affecting media consumption in Georgia: the age of information consumers, their geographic and social position, national mentality, and the level of religiosity. The results of the study demonstrate a high degree of mediatization of religion in Georgia, manifested in the fact that the church has become an opinion leader, determining the point of view of the majority regarding the topic of the coronavirus pandemic. According to the results of the conducted survey, the population of Georgia began to watch TV and radio more often. The level of interest in social networks has also increased - in particular, in blogs, both in Georgian and in Russian.

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