Research and implementation of Intelligent Service Platform for Flexible Employment in Internet Sharing Economy

Author(s):  
Chunyan Jiang ◽  
Hongxiang Duan
2018 ◽  
Vol 9 (7) ◽  
pp. 616-626
Author(s):  
Leonel Corona Treviño ◽  

The objective of this paper is to propose an economic approach to analyse the concentration of income through platform firms, the marketplace linking users (customer/client) and providers within production through app developers and devices owners. It is important to identify the actors that put the assets into play by looking mainly at: 1) at transaction costs, 2) the externalities (network effects), and 3) the effects on the concentration-distribution of incomes. A selection of 19-service platform firms in Mexico in transportation and crowdfunding are analysed considering their fees, market share and income. The study revealed that these variables allow them to earn large profits when an oligopoly is developed. Then the question of counterbalances through competition arises, but the main concern is about the need (or not) for regulation during this phase of SES production.


2021 ◽  
Vol 135 ◽  
pp. 127-136
Author(s):  
Yu Xu ◽  
Simon Hazée ◽  
Kevin Kam Fung So ◽  
K. Daisy Li ◽  
Edward Carl Malthouse

2019 ◽  
Author(s):  
Hanna Lee ◽  
Sung-Byung Yang ◽  
Chulmo Koob
Keyword(s):  

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.


2014 ◽  
Vol 11 (1) ◽  
pp. 32-34
Author(s):  
Kristina Müller ◽  
Antonia Schubert
Keyword(s):  

Airbnb, Car2Go, Couchsurfing – die Sharing Economy gilt derzeit als Trendthema für Wirtschaft, Politik und Ökologie. Im Auftrag einer großen deutschen Mediengruppe und weil das Phänomen wissenschaftlich bislang kaum untersucht wurde, hat das InnoLab der Hamburg Media School die Anbieter, Branchen und Geschäftsmodelle der Sharing Economy evaluiert. Auf Basis von eigens erhobenen Daten, Experteninterviews und Fokusgruppenbefragungen wurden Monetarisierungsstrategien bewertet, Erfolgsfaktoren bestimmt und Handlungsempfehlungen für Anbieter herausgearbeitet. Die Autorinnen danken Prof. Dr. Armin Rott, Nick Sohnemann, Andreas Wrede und Marcel Garz (alle InnoLab/Hamburg Media School) für die Unterstützung der Studie.


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