scholarly journals Mapping the Sharing Economy in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6333
Author(s):  
Chan Liu ◽  
Raymond K. H. Chan ◽  
Maofu Wang ◽  
Zhe Yang
Keyword(s):  
Global Economy ◽  
Rapid Development ◽  
Sharing Economy ◽  
Essential Elements ◽  
Mobile Internet ◽  
Internet Technology ◽  
Short Term ◽  
Bona Fide ◽  
The Government ◽  
Idle Capacity

Harnessing the rapid development of mobile internet technology, the sharing economy has experienced unprecedented growth in the global economy, especially in China. Likely due to its increasing popularity, more and more businesses have adopted this label in China. There is a concern as to the essential meaning of the sharing economy. As it is difficult to have a universally accepted definition, we aim to map the sharing economy and demystify the use of it in China in this paper. We propose seven organizing essential elements of the sharing economy: access use rights instead of ownership, idle capacity, short term, peer-to-peer, Internet platforms mediated, for monetary profit, and shared value orientation. By satisfying all or only parts of these elements, we propose one typology of sharing economy, and to differentiate bona fide sharing economy from quasi- and pseudo-sharing economy. Finally, there are still many problems that need to be solved urgently in the real sharing economy from the perspective of the government, companies and individuals.

scholarly journals Research on the Human Dynamics in Mobile Communities Based on Social Identity

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Qiang Yan ◽  
Lianren Wu ◽  
Lanli Yi
Keyword(s):  
Social Identity ◽  
Mobile Phone ◽  
Power Law ◽  
Significant Influence ◽  
Mobile Internet ◽  
Internet Technology ◽  
Power Exponent ◽  
Human Dynamics ◽  
The Social ◽  
Simulation Results

Through analyzing the data about the releases, comment, and forwarding of 120,000 microblog messages in a year, this paper finds out that the intervals between information releases and comment follow a power law; besides, the analysis of data in each 24 hours reveals obvious differences between microblogging and website visit, email, instant communication, and the use of mobile phone, reflecting how people use fragments of time via mobile internet technology. The paper points out the significant influence of the user's activity on the intervals of information releases and thus demonstrates a positive correlation between the activity and the power exponent. The paper also points out that user's activity is influenced by social identity in a positive way. The simulation results based on the social identity mechanism fit well with the actual data, which indicates that this mechanism is a reasonable way to explain people's behavior in the mobile Internet.

A Kalman Filter-Based Queue Length Estimation Method with Low-Penetration Mobile Sensor Data at Signalized Intersections

2018 ◽  
Vol 2672 (45) ◽  
pp. 253-264 ◽  
Author(s):  
Juyuan Yin ◽  
Jian Sun ◽  
Keshuang Tang
Keyword(s):  
Kalman Filter ◽  
Queue Length ◽  
Estimation Method ◽  
Mobile Internet ◽  
Internet Technology ◽  
Sensor Data ◽  
Linear Regression Method ◽  
Mobile Sensor ◽  
Length Estimation ◽  
Queue Lengths

Queue length estimation is of great importance for signal performance measures and signal optimization. With the development of connected vehicle technology and mobile internet technology, using mobile sensor data instead of fixed detector data to estimate queue length has become a significant research topic. This study proposes a queue length estimation method using low-penetration mobile sensor data as the only input. The proposed method is based on the combination of Kalman Filtering and shockwave theory. The critical points are identified from raw spatiotemporal points and allocated to different cycles for subsequent estimation. To apply the Kalman Filter, a state-space model with two state variables and the system noise determined by queue-forming acceleration is established, which can characterize the stochastic property of queue forming. The Kalman Filter with joining points as measurement input recursively estimates real-time queue lengths; on the other hand, queue-discharging waves are estimated with a line fitted to leaving points. By calculating the crossing point of the queue-forming wave and the queue-discharging wave of a cycle, the maximum queue length is also estimated. A case study with DiDi mobile sensor data and ground truth maximum queue lengths at Huanggang-Fuzhong intersection, Shenzhen, China, shows that the mean absolute percentage error is only 11.2%. Moreover, the sensitivity analysis shows that the proposed estimation method achieves much better performance than the classical linear regression method, especially in extremely low penetration rates.

scholarly journals Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic

2021 ◽  
Vol 13 (18) ◽  
pp. 10221
Author(s):  
Sufyan Habib ◽  
Nawaf N. Hamadneh
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Online Shopping ◽  
Research Work ◽  
Mobile Internet ◽  
Growth Potential ◽  
Internet Technology ◽  
Consumer Trust ◽  
Online Purchase ◽  
The Impact

E-commerce industry has witnessed a phenomenal growth globally due to the sudden spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with fast adaption of online shopping technologies by the customers. Previously, online shopping was only available in a few product categories and to a select group of consumers. The COVID-19 guidelines related to safety, physical distancing, closure, lockdown, and other restrictions have insisted that consumers shop online. Because of e-commerce growth, the grocery (FMCG) industry is also equipped with advanced technologies such as the Internet of Things (IoT), cloud computing, and block chain technology. This paper analyzes the UTAUT2 model and its influence on perceived risk and consumer trust in online purchase intention of grocery categories of products among Indian customers. We tried to analyze the growth potential of new technologies in grocery retail and formulated the hypotheses. The results showed that the spread of COVID-19 pandemic had a significant influence on the online shopping behavior of Indian customers. The outcome of the study partly assists businesses in understanding the impact of the factors of consumer adaption of technology, perceived risk associated with online transaction, consumer trust in online technologies and consumer online purchase intention of grocery products. To promote e-commerce in India, the current study suggests that marketers should try to develop consumer trust and lowering the perceived risk associated with online shopping. Some management implications and future area of study based on empirical findings are also highlighted in the present research work.

Tourism Marketing Platform on Mobile Internet

2020 ◽  
pp. 1120-1133
Author(s):  
Yunhua Xiao
Keyword(s):  
Daily Life ◽  
Mobile Internet ◽  
Smart Phones ◽  
Internet Technology ◽  
The Internet ◽  
Mvc Pattern ◽  
Tourism Marketing ◽  
Distributed Structure ◽  
Marketing Model ◽  
Scenic Spot

With the progress of science and technology, the development and improvement of internet technology and smart phones are gradually popular in the daily life; this world has achieved a swift transition to the mobile internet era from the traditional internet era. Various tourist areas have established “Digital Scenic Spots” in recent years, making the internet combine tightly with tourism. The construction of scenic-spot marketing platforms based on internet is an important component of constructing “Digital scenic spot.” In this article, a tourism marketing platform on the mobile internet is established by analyzing the mobile internet mainstream technology and its application in tourism marketing. In this article, the architecture of the marketing system uses the MVC pattern with a three-tier distributed structure and the logic layer of the system uses a construction of JavaBean and EJB. The article also builds a WeChat marketing model based on MM-TIP. The result of research provides some reference for constructing tourism marketing platform based on mobile internet.

scholarly journals Research on Security Framework of Mobile Application in Dispatch and Control Domain of Power Grid

2018 ◽  
Vol 173 ◽  
pp. 02029
Author(s):  
XU Jiahui ◽  
YU Hongyuan ◽  
WANG Gang ◽  
WANG Zi ◽  
BAI Jingjie ◽  
...  
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Power Grid ◽  
Rapid Development ◽  
Mobile Internet ◽  
Internet Technology ◽  
Security Framework ◽  
Time Data ◽  
Real Time Data ◽  
And Control

The rapid development of mobile Internet technology and the wide spread of smart terminals have brought opportunities for the transformation of power grid business model. Compared to the non-real-time information, the real-time and running data of dispatch and control domain is easy to be intercepted and cracked. To solve this problem, this paper presents a new approach to mobile application security framework for the power grid control field. It is to realize secondary encryption by using the method of MD5+AES mixed encryption algorithm and combining the time stamp in real-time data transmission process. At the same time it is to prevent cross-border operations and brute force by using Token authentication and Session technology. China EPRI safety test results show that the application of the framework significantly improves the integrity, safety and reliability of real-time data in power grid control.

scholarly journals The priority classification method of mobile users under direct power transaction

2018 ◽  
Vol 242 ◽  
pp. 01013
Author(s):  
Wang Lei ◽  
Gao Chuncheng ◽  
Zhang Qian ◽  
Dai Yong
Keyword(s):  
Electricity Market ◽  
Clustering Algorithm ◽  
Mobile Internet ◽  
Internet Technology ◽  
Classification Method ◽  
Mobile Users ◽  
Direct Power ◽  
Analytic Hierarchy ◽  
Index Set ◽  
Four Dimensions

With the development of mobile internet technology, market-oriented electricity reform forms a new transaction mode that "Internet + power trading", which further promotes the liberalization of retail side market. A large number of mobile power users actively participate in the electricity market transaction. However, the current standards for mobile users who are accessed to the market are qualitative standards, lacking of quantitative analysis. The priority classification method of mobile users under direct power transaction is proposed in the paper. First, the priority evaluation index set of mobile users is established from four dimensions that credit condition, environmental condition, power consumption condition and load importance to achieve evaluation quantitatively. Secondly, Kmeans clustering algorithm based on SOM is used to cluster mobile users. Finally, the paper recognizes the various types of mobile users as a whole and estimates their priorities using the improved AHP(Analytic Hierarchy Process).The method realizes the specific division of mobile users from a point of quantitative view, and solves the problem of only qualitative standard currently, to optimize the development of direct power transaction and promote the marketization of power market.

scholarly journals Health Care Going Online: Help Seeking Behavior by Patients for Sexual Problems—Analysis of Online Queries on Sexual Health

2019 ◽  
Vol 1 (1) ◽  
pp. 78-83
Author(s):  
Sandip Deshpande ◽  
Jaya Aiyappa ◽  
Sadhana Mishra ◽  
Seema Naik ◽  
Samiksha Jain ◽  
...  
Keyword(s):  
Health Care ◽  
Sexual Health ◽  
Health Care Professionals ◽  
Help Seeking ◽  
Mobile Internet ◽  
Sexual Problems ◽  
Internet Technology ◽  
Care Seeking ◽  
Online Help ◽  
Objective Health

Background and Objective: Health care industry is going through a renaissance with the advances in mobile Internet technology. Health care seeking has become easier for people and there are multiple providers offering online consultations and counselling. Sexual medicine is still an unrecognized specialty in India. People suffering from sexual health problems and dysfunctions have a lot of stigma approaching health care professionals. With the coming in of Internet-based services, people are finding it easier to seek help online anonymously. As an industry this is likely to continue to grow and offer opportunities to people in distress to seek help. Methodology: In the present study, we have done a retrospective analysis of 500 queries that were posted privately to the principal author. Results focused on the demographic details, the nature of the problem and an analysis of the content of the queries. The study discusses how the findings may be used to better understand the perceptions, concerns, and stated needs of people accessing online portals for sexual problems. This should also help equip counsellors interested in this field. Results: The study clearly brought out the gender differences among those accessing online health care portals for sexual issues. A majority of the queries were from men asking about issues related to size and curvature of penis, masturbation, premature ejaculation, erectile dysfunction. Many of these queries stemmed from the lack of correct scientific knowledge which led to health anxieties including frustration, depression, and low self-esteem.

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