scholarly journals Social Networks and the Decision to Insure

2015 ◽  
Vol 7 (2) ◽  
pp. 81-108 ◽  
Author(s):  
Jing Cai ◽  
Alain De Janvry ◽  
Elisabeth Sadoulet

Using data from a randomized experiment in rural China, we study the influence of social networks on weather insurance adoption and the mechanisms through which they operate. To quantify network effects, the experiment provides intensive information sessions about the product to a random subset of farmers. For untreated farmers, the effect of having an additional treated friend on take-up is equivalent to granting a 13 percent reduction in the insurance premium. By varying the information available about peers’ decisions and randomizing default options, we show that the network effect is driven by the diffusion of insurance knowledge rather than purchase decisions. (JEL G22, O12, O16, P36, Q12, Q54, Z13)

2018 ◽  
Vol 52 (2) ◽  
pp. 597-634 ◽  
Author(s):  
Sojin Yu ◽  
Feinian Chen

This study examines the recent phenomenon of “cross-border marriage” in South Korea: foreign brides migrating into Korea to get married to Korean bachelors. Using data from the National Survey of Multicultural Families 2009, one of the biggest data sets on marriage migrants, we analyze how the difference in migrants’ initial methods of entry affects the level of their life satisfaction. The findings show greater life satisfaction for those who used personal social networks, when compared with those who used commercial brokers as a method of entry. The analyses also reveal the importance of current social networks and their role in moderating the effect of the initial methods of entry after a prolonged period of residence.


Author(s):  
Craig C. Claybaugh ◽  
Peter Haried

Online professional social networks have become a noteworthy tool to help professionals create, strengthen, and maintain valuable business connections. However, the question remains as to who is actually using online professional social networks and how the diffusion of the social network has occurred. Looking at diffusion and usage through innovation diffusion theory, critical mass and a network effects lens, this paper seeks to examine the diffusion of an online professional social network (LinkedIn) for a specific population of university business schools. Using longitudinal analysis (2008 compared to 2011) our findings advocate network dynamics of homogeneous populations display consistent patterns of participation and non-participation. The authors’ findings suggest LinkedIn diffusion is not consistent across all business schools examined. A greater critical mass and network effect appears to have been achieved across larger research universities when compared to smaller university populations. An analysis of the results and future research directions are presented.


2020 ◽  
Vol 12 (7) ◽  
pp. 2884
Author(s):  
Lixin Zhou ◽  
Jie Lin ◽  
Yanfeng Li ◽  
Zhenyu Zhang

Mobile application innovation diffusion can be used to enhance the reputation and competitiveness of Internet enterprises. However, few works have explored the process of mobile application innovation diffusion from the individual perspective. Therefore, this paper employs multi-agent methods to simulate the innovation diffusion of mobile applications from the perspective of social networks. Specifically, we combine psychology, sociology, game theory and network effect theory to model user behaviors of adoption and rejection decisions for mobile applications. The multi-agent model was built in Anylogic 8 to simulate the communication and interaction between individual users. Then, this paper discusses the evolution of decision-making of social network user groups with different network structures and network effects. We also investigate the impact of different firms’ promotion on innovation diffusion. Our findings suggest firms could make better strategies and achieve better diffusion effects from mobile applications.


2020 ◽  
Vol 16 (5) ◽  
pp. 800-821
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov

Subject. The article addresses economic relations that are formed in various areas of economic application of digital platforms. The target of the research is the modern economy of digital platforms across different economic activities. Objectives. The aim is to systematize principles for share economy formation in the context of the digital society development. Methods. We employ general scientific methods of research. Results. The study shows that the development of digital platforms is one of the most important trends in the development of the modern economy. We classified certain characteristic features of modern digital platforms, analyzed principles for their creation. The paper emphasizes that the network effects achieved through the use of digital platforms are an important factor in the development of the share economy. The network effect describes the impact of the number of the platform users on the value created for each of them. The paper also considers differences in the organization of traditional economy companies and companies that are based on the digital platform model, reveals specifics of changes in socio-economic systems caused by the development of digital platforms, systematizes principles of the sharing economy formation in the context of the digital society development. Conclusions. The analyzed principles for sharing economy development on the basis of digital platforms can be applied to create models for the purpose of forecasting the transformation of economic activity in the post-industrial society.


2019 ◽  
Vol 5 ◽  
pp. 237802311987979 ◽  
Author(s):  
George Wood ◽  
Daria Roithmayr ◽  
Andrew V. Papachristos

Conventional explanations of police misconduct generally adopt a microlevel focus on deviant officers or a macrolevel focus on the top-down organization of police departments. Between these levels are social networks of misconduct. This study recreates these networks using data on 16,503 complaints and 15,811 police officers over a six-year period in Chicago. We examine individual-level factors associated with receiving a complaint, the basic properties of these misconduct networks, and factors related to officer co-naming in complaints. We find that the incidence of police misconduct is associated with attributes including race, age, and tenure and that almost half of police officers are connected in misconduct ties in broader networks of misconduct. We also find that certain dyadic factors, especially seniority and race, strongly predict network ties and the incidence of group misconduct. Our results provide actionable information regarding possible ways to leverage the co-complaint network structure to reduce misconduct.


2018 ◽  
Vol 39 (3) ◽  
pp. 26-45
Author(s):  
Xu Lin ◽  
Song Chengcheng ◽  
Wang Shizong
Keyword(s):  

2021 ◽  
Author(s):  
Hemang Subramanian ◽  
Sabyasachi Mitra ◽  
Sam Ransbotham

Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable uncertainty on how UGC creates value—and who benefits from it—because voluntary user contributions cannot be mandated or contracted or its quality assured through service-level agreements. In fact, high valuations of these platform firms have generated significant interest, debate, and even euphoria among investors and entrepreneurs. Network effects underlie these high valuations; the value of participation for an individual user increases exponentially as more users actively participate. Thus, many platform strategies initially focus on generating usage with the expectation of profits later. This premise is fraught with uncertainty because high current usage may not translate into future profits when switching costs are low. We argue that the type of user-generated content affects switching costs for the user and, thus, affects the value a platform can capture. Using data about the valuation, traffic, and other parameters from several sources, empirical results indicate greater value uncertainty in platforms with user-generated content than in platforms based on firm-generated content. Platform firms are unable to capture the entire value from network effects, but firms with interaction content can better capture value from network effects through higher switching costs than firms with user-contributed content. Thus, we clarify how switching costs enable value for the platform from network effects and UGC in the absence of formal contracts.


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