A study of influencing factors of patent value based on social network analysis

The study aims at identifying the factors influencing the disposition effect acting on equity investors and further identifying the relationship between the influencing factors. The study aims at conducting a complete analysis of the influencing factors along with measuring their impact on disposition effect using Social Network Analysis (SNA).The factors affecting disposition effect on investors were identified through the literature review. Experts’ opinions were sought for determining the relationship among the factors and finally, the importance of those factors was analyzed using Social Network Analysis (SNA). It was found that social trust, investor emotion are the two most important factors affecting the other factors of disposition effect and consequently disposition effect finally. Besides, mental accounting; regret aversion, trading intensity, trading volume, and portfolio performance strongly influence the effect of disposition on investors because of their higher in-degree and out-degree. Therefore, the policymakers need to impart training to the investors to understand the mechanism of the stock market so that they can evaluate their standing in the stock market which, in the long run, will be reflected in their investment behavior.

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Exploring the influencing factors of sharing economy sustainability based on a two-mode social network analysis

2019 16th International Conference on Service Systems and Service Management (ICSSSM) ◽

10.1109/icsssm.2019.8887647 ◽

2019 ◽

Author(s):

Li Cui ◽

Ying Hou ◽

Meihua Gao ◽

Yixin Yang

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Influencing Factors ◽

Sharing Economy

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Social Network Analysis of Factors Influencing Green Building Development in China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15122684 ◽

2018 ◽

Vol 15 (12) ◽

pp. 2684 ◽

Cited By ~ 2

Author(s):

Ning Huang ◽

Libiao Bai ◽

Hailing Wang ◽

Qiang Du ◽

Long Shao ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Influencing Factors ◽

Green Building ◽

Green Buildings ◽

Design Stage ◽

Policy Recommendations ◽

The Sustainable Development ◽

Government Supervision

Green buildings have been viewed as one of the most effective solutions to the negative environmental impacts of construction activities. For the sustainable development of the economy and the environment, many governments in the world have launched a variety of policies to encourage the development of green buildings. However, green targets achieved during the operational stage of green buildings are far below the expectations from the design stage. In addition, the development of green buildings is unevenly distributed in different cities. To help resolve these issues, this paper identifies 28 green building influencing factors from two perspectives, the life cycle and stakeholders. Then, a social network analysis is used to analyse their interactions and identify the critical factors. Our results show that government supervision, incremental cost, property management experience, and the awareness of environmental protection in green buildings are the critical influencing factors in promoting green building development. However, some factors related to contractors, designers and suppliers are not as important as perceived. Finally, some policy recommendations are proposed to promote green buildings in China.

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FACTORS AFFECTING SEASONALITY IN THE STOCK MARKET: A SOCIAL NETWORK ANALYSIS APPROACH

International Journal of Accounting & Finance Review ◽

10.46281/ijafr.v5i4.888 ◽

2020 ◽

Vol 5 (4) ◽

pp. 39-59

Author(s):

K. Kajol ◽

Mausami Nath ◽

Ranjit Singh ◽

H. Ramananad Singh ◽

Amit Kumar Das

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Stock Market ◽

Influencing Factors ◽

Complete Analysis ◽

Awareness Campaign ◽

Factors Affecting ◽

Long Run ◽

The Relationship

The study aims at identifying the factors influencing the seasonality effect in the stock market and further identifying the relationship between the influencing factors. The study aims at conducting a complete analysis of the influencing factors along with measuring their impact on seasonality using Social Network Analysis (SNA). The factors affecting the seasonality effect in the stock market were identified through the literature review. Experts’ opinions were sought for determining the relationship among the factors and finally, the importance of those factors was analyzed using Social Network Analysis (SNA). It was found that volatility is the most important factor affecting the other factors of seasonality and consequently seasonality effect finally. Besides, earning announcements, dividend, and January effects strongly influence the effect of seasonality in the stock market because of their higher in-degree and out-degree. To understand the mechanism of the stock market, the policymakers need to impart training to the investors through awareness campaign or by opening learning investors’ Club at different places. With this they can evaluate their standing in the stock market and the capability of bearing the risk which, in the long run, will be reflected in their investment behavior along with that the culture of equity investing will also be promoted among the investors.

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