This study applies the Motivation - Opportunity – Ability model on social networking platforms to study tourists’ selection of green hotels for their participation in sports events. The study analyzed the intention to choose green hotels of 324 Vietnamese tourists staying at 4- and 5-star hotels with green labels in Vietnam. The research results show that the Motivations, Opportunity, and Ability factors in using social networks have a positive impact on the belief in green hotels, thereby promoting the intention to choose green hotels when tourists participate in sports events in Vietnam. This study also provides some practical implications for green hotels in using social networks to enhance the trust and intention to choose a hotel of tourists participating in sports events. At the same time, the study also proposes some suggestions for directing human resources training towards the organization of tourism-integrated sports events to create responsible tourism products.

The article substantiates the essence of the concept of “social capital” as a resource in terms of formed, permanent, established types of highly effective socio-economic interactions. In addition, the main directions of its manifestation and its structural elements are defined. It is stated that for quantitative measurement of social capital at the enterprise level, it is necessary to establish its precise framework, to determine its structure and key features. As an object of accounting, social capital should be regarded as an intangible asset. The expediency of using the Value explorer method for social capital estimation, which requires some necessary steps, has been substantiated as follows: the use of clearly established algorithm of actions in the implementation of rational selection for a new product; the use of internal and external innovations in the process of generating new ideas and production of innovations within the framework of the product realization strategy; identify areas of key competitive advantages related to social capital; determining the role of the sphere of competitive advantages in production and sales of products; gross profit distribution by key competitive advantages; calculation of the potential of the competitive advantages sphere; assessment of the durability and sustainability of the competitive advantages of the enterprise and calculation of the present value of all elements of social capital of the enterprise. Five main levels of social intangibles are identified and grounded. The study allows to form an appropriate matrix to analyze the effectiveness of their use in the enterprise.

Recommender systems help users faced with the problem of information overflow and provide personalized recommendations. Social networks are used for providing variety of business or social activities, or sometimes a combination of both. In this paper, by considering social network of users and according to users’ context and items, a new method is introduced that is based on trust and context aware for recommender systems in social networks. The purpose of this paper is to create a recommender system which increases precision of predicted ratings for all users especially for cold start users. In the proposed method, walking on web of trust is done by neighbor users for finding rating of similar items and users’ preference is gotten of items’ context. The results show that suitable recommendation with user’s context is provided by using this method. Also, this system can increase precision of predicted rating for all users and cold starts too and however, do not decrease the rating’s coverage.

In this study, staff job satisfaction were evaluated according to their personality differences by assessing five personality factors, based on NEO-FFI scoring and those components, which are directly associated with job satisfaction. In this regard, three data collection tools including communication satisfaction questionnaires, job descriptions index and five personality trait questionnaire were used. Based on the findings there was a positive and significant relationship between job satisfaction and personality traits (r = 0.97), and job satisfaction was depended on communication satisfaction. This research showed that communication satisfaction and job satisfaction could be predicted based on the five personality traits, which are nervousness, extraversion, empiricism, responsibility, and compatibility with others.

Social networks form a basis for maintaining social contacts, finding users with common interests, creating local content and sharing information. Recently networks have created a fundamental framework for analyzing and modeling the complex systems. Users & apos; behavior studies and evaluates the system performance and leads to better planning and implementation of advertising policies on the web sites. Therefore, this study offers a framework for online social networks & apos; characteristics. In terms of objective, this survey is practical descriptive. Sampling has been done among 384 of graduate students who have good experiences of membership in online social network. Confirmatory factor analysis is used to evaluate the validity of variables in research model. Characteristics of online social networks are defined based on six components and framework & apos; s indexes are analyzed through factor analysis. The reliability is calculated separately for each dimension and since they are all above 0.7, the reliability of the study can be confirmed. According to our research results, in terms of size, the number of people who apply for membership in various online social networking is an important index. In terms of individual preference to connect with, people who are relative play essential role in social network development. In terms of homogeneity variable, the number of people who visit their friends’ pages is important for measuring frequency variable. In terms of frequency, the use of entertainment and recreation services is more important index. In terms of proximity, being in the same city is a more important index and index of creating a sense of belonging and confidence is more important for measuring reciprocity variable.

In this paper, we develop a novel framework for defining radial measures of centrality in complex networks. This framework is based on the combination of two approaches: social network analysis and traditional social science approach by considering both structure of relations and individual characteristics. It is always an important issue to detect communities in complex networks as efficiently as possible to understand both the structure and function of the networks and to interpret radial centrality measures. Therefore, we propose spectral clustering by determining the best number of communities as a prerequisite stage before finding radial measures. Based on the proposed framework, an algorithm to compute the closeness centrality in complex networks is developed. We test the proposed algorithm on Zachary’s karate club network, which is considerably used as a benchmark for community detection in a network. The preliminary results indicate that the new method is efficient at detecting both good inter-cluster closeness centrality and the appropriate number of clusters.

This paper presents a comprehensive scientometric study for the impact of social networks on advertisement. The study uses the Scopus database as a search engine to accomplish the survey. To better understand the evolution and identity of this category, the study covers 1216 most cited data over the period 1983-2019. Qualitative and quantitative data analysis techniques are applied to determine author distribution, country, individual and institutional-level productivity rankings. In terms of keywords, the study indicates that social media was jointly studied with gender and be-havior and researchers from the United States maintained the highest rate of contribution. The survey also indicates that there were strong collaboration between the researchers from China and United States. Moreover, there were also remarkable collaborations between the researchers in United States from one side and other countries.

The purpose of this research is to investigate the status and the evolution of the scientific studies on the applications of social media in the business. The present research is an applied scientific method based on quantitative approach by using library method and scientometrics indicators. With the use of bibliometric library of R software, scientific products in the field of social media applications in business from 2005 to the end of January 2019, the study overviews trends and achievements of this field. The results show that from the beginning of 2005 through January 2019, 2682 articles have been indexed in Web of Science in the field of social media and business; however, since 2009, scientific productions in this topic have grown rapidly and in 2017, there was a substantial increase in the number of studies. The findings also show that the United States with 1269 published articles and the Business Horizons Magazine with the publication of 73 articles, pioneered in the publications of this topic. Analyzing the content of the works produced in the applications of the social media and businesses can help us better understand the growth trend in this area.

During the past few years, there have been tremendous changes on social media through different applications in Canada. Many people choose their products and services solely based on the tips they receive from various social media such as Facebook, Twitter, etc. Social media are ex-periencing an increase popularity, both among the ordinary people who simply use the facilitated interaction, and businessman who observe it as a serious marketing facility. In this paper, we study the trend and usage of social media for different purposes in Canadian society. The survey indicates that Facebook has been the most popular followed by Twitter and LinkedIn. The study also indicates that social media are used for many purposes such as reaching update news, recommending products or services, recruiting employees, etc.