A Trustworthy Group Identifying Trust Metric for P2P Service Sharing Economy Based on Personal Social Network of Users

2018 ◽  
Vol 23 (2) ◽  
pp. 139-149 ◽  
Author(s):  
Wenqiang Zhu
Keyword(s):  
Social Network ◽  
Sharing Economy ◽  
Trust Metric ◽  
P2p Service

scholarly journals Examining Cross-Industry Collaboration in Sharing Economy Based On Social Exchange and Social Network Theories

2020 ◽  
pp. 29-41
Author(s):  
Cheng-Wen Lee ◽  
Hao-Yuan Yu
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Social Exchange ◽  
Service Providers ◽  
Secondary Data ◽  
Sharing Economy ◽  
Jel Classification ◽  
Industry Collaboration ◽  
Multiple Case ◽  
The Cost

Information technology and advanced online environments have reduced the cost of these exchange activities and triggered the emergence of the sharing economy. Con-sequently, public attitude toward the sharing economy has gradually shifted from re-luctance to acceptance. Moreover, the sharing economy has revolutionized the busi-ness models and viewpoints of conventional industries, and sharing service providers have gradually shifted from an independent to a collaborative stance, thereby affect-ing conventional economies. This study interprets the phenomenon of cross-industry collaboration in the sharing economy through social exchange and social network the-ories. A multiple-case research framework is used to examine tourism and service in-dustries. Secondary data of service providers and users on sharing platforms are ana-lyzed using content analysis, supplemented with a content analysis of the interview data of three hotel executives. The varying phenomena of the conventional and shar-ing economies on social exchange and social network were compared. Finally, this paper proposes conclusions and practical recommendations according to the analytical results. JEL classification numbers: D85, M31, L14. Keywords: Cross-Industry Collaboration, Sharing Economy, Social Exchange, Social Network.

Peer-to-peer interactions in the sharing economy: Exploring the role of reciprocity within a Chinese social network

2020 ◽  
Vol 28 (3) ◽  
pp. 67-80 ◽  
Author(s):  
Richard G. Starr ◽  
Andrew Q. Zhu ◽  
Catherine Frethey-Bentham ◽  
Roderick J. Brodie
Keyword(s):  
Social Network ◽  
Peer Interactions ◽  
Sharing Economy ◽  
Peer To Peer

scholarly journals Evaluation of Development of Sharing Economy from the Perspective of Social Network

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Yichen Yang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Development Strategy ◽  
Sharing Economy ◽  
Individual Autonomy ◽  
Negative Effects ◽  
Trust Mechanism ◽  
Institutional Supply ◽  
Overall Evaluation ◽  
New Perspective

This article focuses on the study of the macro and interdisciplinary aspects of the sharing economy. Based on the perspective of social networks, the overall evaluation of the development of this new economic form is carried out, with a view to exploring the sound development of the sharing economy with a new perspective of sociology. First of all, the sharing economy has changed the structure and relationships of social networks. However, social networks have negative effects on trust mechanism, heterogeneous connection, social governance, individual autonomy and capital circulation in the considerable changes. Based on the concern for these negative effects, this article still launches the development strategy of the sharing economy in the aspects of traditional relations, institutional supply, lowering barriers, abandoning inertia, and identifying social capital from the perspective of social network.

scholarly journals Shared Short-Term Rentals for Sustainable Tourism in the Social-Network Age: The Impact of Online Reviews on Users’ Purchase Decisions

2019 ◽  
Vol 11 (15) ◽  
pp. 4064 ◽  
Author(s):  
Jie Zhao ◽  
Zhixiang Peng
Keyword(s):  
Social Network ◽  
Perceived Risk ◽  
Perceived Value ◽  
Online Reviews ◽  
Sharing Economy ◽  
The Internet ◽  
Purchase Decisions ◽  
Short Term ◽  
New Variables ◽  
The Impact

With the development of social networks and the Internet-based sharing economy, shared short-term rentals are emerging as a new kind of service that provides a convenient way for people to buy short-term rental services in cities through social-network-enabled platforms. However, like other social-network-based services, shared short-term rental is also likely to be impacted by online reviews. This paper aims to investigate the impact of online reviews on users’ purchase decisions toward shared short-term rentals, and further to provide optimization suggestions for the future advance of shared short-term rentals. The contributions of this paper are many-fold. First, we introduce the Stimuli-Organism-Response (SOR) model into the study and propose new variables for the model, including stimulus variables, organism variables, response variable, and moderating variables. Second, we propose eight hypotheses to evaluate the impact of online reviews on users’ purchase decisions toward shared short-term rentals. Finally, we collect data through a questionnaire survey and present comprehensive results on many aspects. Based on the data analysis, we find out that the quality of online reviews impacts users’ perceived value and perceived risk, which in turn impacts users’ purchase decisions toward shared short-term rentals. In addition, the cognitive needs of users can adjust the impact of online reviews on the perceived risk of users but have no explicit adjusting effect for users’ perceived value. Further, we present some research implications as well as suggestions for rental platforms to advance shared short-term rentals in the Internet age.

scholarly journals Sustainable-Development Measurement of China’s Coworking Industry Using Social-Network Analysis Method

2021 ◽  
Vol 13 (11) ◽  
pp. 5902
Author(s):  
Danning Zhang ◽  
Ming Yan ◽  
Haowen Wang ◽  
Weiwei Li
Keyword(s):  
Sustainable Development ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Index System ◽  
Sharing Economy ◽  
Profit Model ◽  
The Sustainable Development ◽  
Stage Of Development ◽  
Comprehensive Index

While China’s sharing economy slows down and enters a period of structural adjustment, the coworking industry is a new force. Moreover, after China had issued important policies to support the comprehensive upgrading and the sustainable development of mass entrepreneurship and mass innovation in September 2018, the development potential of the coworking industry became even greater. However, the coworking industry also faces many development bottlenecks, such as the homogeneity of services and the single-profit model. Therefore, it is of great theoretical and practical significance to realize the sustainable development of the coworking industry to facilitate mass entrepreneurship and innovation in China. The coworking industry is both a subindustry of sharing economy and a branch of the Internet industry, with the significant characteristic of networking. Therefore, we used social-network analysis (SNA) to build a three-level index system of China’s coworking industry: the density-comprehensive index at the macrolevel, the subgroup comprehensive index at the mesolevel, and the centrality-comprehensive index at the microlevel, so as to scientifically measure the development status of the coworking industry. In addition, the comprehensive index system was applied to a comparative study of the six models that were formed in actual development. Analytical results indicate that China coworking industry formed a good network with rich ecological diversity. Different from other countries, China’s coworking industry has embodied a profound gene of entrepreneurship and innovation since its early stage of development. Internet giant enterprises Alibaba, Tencent, and Baidu are playing an important role in the development of China’s coworking industry, and all have strategic layouts among several models.

scholarly journals From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research

2018 ◽  
Vol 2 (3) ◽  
pp. 3-16 ◽  
Author(s):  
Martin P. Fritze ◽  
Florian Urmetzer ◽  
Gohar F. Khan ◽  
Marko Sarstedt ◽  
Andy Neely ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Sharing Economy
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