scholarly journals Impact of Social Network and Business Model on Innovation Diffusion of Electric Vehicles in China

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
D. Y. Kong ◽  
X. H. Bi
Keyword(s):  
Social Network ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Business Models ◽  
Technological Development ◽  
The United States ◽  
Network Control ◽  
Local Market ◽  
Bass Model ◽  
Purchasing Model

The diffusion of electric vehicles (EVs) involves not only the technological development but also the construction of complex social networks. This paper uses the theory of network control to analyze the influence of network forms on EV diffusion in China, especially focusing on the building of EV business models (BMs) and the resulting effects and control on the diffusion of EVs. The Bass model is adopted to forecast the diffusion process of EVs and genetic algorithm is used to estimate the parameters based on the diffusion data of Hybrid Electric Vehicle (HEV) in the United States and Japan. Two different social network forms and BMs are selected, that is, battery leasing model and vehicle purchasing model, to analyze how different network forms may influence the innovation coefficient and imitation coefficient in the Bass model, which will in turn result in different diffusion results. Thereby, we can find the appropriate network forms and BMs for EVs which is suitable to the local market conditions.

scholarly journals Research on innovative plug-in hybrid electric vehicle comprehensive energy consumption evaluation method based on statistic energy consumption

2021 ◽  
Vol 104 (4) ◽  
pp. 003685042110502
Author(s):  
Xinbo Chen ◽  
Jian Zhong ◽  
Feng Sha ◽  
Zaimin Zhong
Keyword(s):  
Energy Consumption ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Evaluation Method ◽  
The United States ◽  
Specific Power ◽  
The European Union ◽  
Hybrid Electric

The plug-in hybrid electric vehicle not only has the advantages of low emissions from electric vehicles, but also takes advantage of the high specific energy and high specific power of petroleum fuels, which can significantly improve the emissions and fuel economy of traditional vehicles. Studying its comprehensive energy consumption evaluation method is an important part of analyzing the economics of plug-in hybrid electric vehicles. This paper first puts forward the concept of statistical energy consumption and then proposes an innovative calculation method of plug-in hybrid electric vehicle energy consumption based on statistical energy consumption by referring to and analyzing the energy consumption test regulations of the United States, the European Union, and China. Given the two use case assumptions of charge depleting mode priority and charge sustaining mode only, considering the fuel consumption and the energy consumption that converts electrical energy consumption to fuel consumption, the probability density function of travel mileage distribution and energy consumption is derived. Finally, the interpretation and analysis of statistical energy consumption evaluation results are carried out.

scholarly journals A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development

2020 ◽  
Vol 12 (14) ◽  
pp. 5609
Author(s):  
Hong Joo Lee ◽  
Hoyeon Oh
Keyword(s):  
Artificial Intelligence ◽  
Regression Analysis ◽  
Topic Modeling ◽  
Business Models ◽  
The United States ◽  
Growth Cycle ◽  
Bass Model ◽  
Artificial Intelligence Technology ◽  
Detailed Technique ◽  
And Diffusion

Based on the rapid development of Information and Communication Technology (ICT), all industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution. Therefore, it is necessary to study the importance and diffusion of technology and, through this, the development and direction of core technologies. Leading countries such as the United States and China are focusing on artificial intelligence (AI)’s great potential and are working to establish a strategy to preempt the continued superiority of national competitiveness through AI technology. This is because artificial intelligence technology can be applied to all industries, and it is expected to change the industrial structure and create various business models. This study analyzed the leading artificial intelligence technology to strengthen the market’s environment and industry competitiveness. We then analyzed the lifecycle of the technology and evaluated the direction of sustainable development in industry. This study collected and studied patents in the field of artificial intelligence from the US Patent Office, where technology-related patents are concentrated. All patents registered as artificial intelligence technology were analyzed by text mining, using the abstracts of each patent. The topic was extracted through topic modeling and defined as a detailed technique. Promising/mature skills were analyzed through a regression analysis of the extracted topics. In addition, the Bass model was applied to the promising technologies, and each technology was studied in terms of the technology lifecycle. Eleven topics were extracted via topic modeling. A regression analysis was conducted to identify the most promising/mature technology, and the results were analyzed with three promising technologies and five mature technologies. Promising technologies include Augmented Reality (AR)/Virtual Reality (VR), Image Recognition and Identification Technology. Mature technologies include pattern recognition, machine learning platforms, natural language processing, knowledge representation, optimization, and solving. This study conducts a quantitative analysis using patent data to derive promising technologies and then presents the objective results. In addition, this work then applies the Bass model to the promising artificial intelligence technology to evaluate the development potential and technology diffusion of each technology in terms of its growth cycle. Through this, the growth cycle of AI technology is analyzed in a complex manner, and this study then predicts the replacement timing between competing technologies.

scholarly journals Objective Rating of the Launch Behavior of Conventional, Hybrid and Electric Vehicles

2021 ◽  
Author(s):  
Christian Dorsch ◽  
Xiao Wang ◽  
Ferit Küçükay
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Automatic Transmission ◽  
Major Influence ◽  
Important Process ◽  
Dual Clutch Transmission ◽  
Conventional Vehicle ◽  
Objective Rating ◽  
Dynamic Quality

AbstractThe calibration of conventional, hybrid and electric drivetrains is an important process during the development phase of any vehicle. Therefore, to optimize the comfort and dynamic behavior (known as driveability), many test drives are performed by experienced drivers during different driving maneuvers, e.g., launch, re-launch or gear shift. However, the process can be kept more consistent and independent of human-based deviations by using objective ratings. This study first introduces an objective rating system developed for the launch behavior of conventional vehicles with automatic transmission, dual-clutch transmission, and alternative drivetrains. Then, the launch behavior, namely comfort and dynamic quality, is compared between two conventional vehicles, a plug-in hybrid electric vehicle and a battery electric vehicle. Results show the benefits of pure electric drivetrains due to the lack of launch and shifting elements, as well as the usage of a highly dynamic electric motor. While the plug-in hybrid achieves a 10% higher overall rating compared to the baseline conventional vehicle, the pure electric vehicle even achieves a 21% higher overall rating. The results also highlight the optimization potential of battery electric vehicles regarding their comfort and dynamic characteristics. The transitions and the gradient of the acceleration build-up have a major influence on the launch quality.

Business model of garment enterprises: a scientometric review

2021 ◽  
Vol 91 (13-14) ◽  
pp. 1609-1626
Author(s):  
Yuran Jin ◽  
Xiangye Song ◽  
Jinhuan Tang ◽  
Xiaodong Dong ◽  
Huisheng Ji
Keyword(s):  
Conference Proceedings ◽  
Social Science ◽  
Business Model ◽  
Western Europe ◽  
Business Models ◽  
New Technologies ◽  
Citation Index ◽  
The United States ◽  
Fast Fashion ◽  
First Time

The research on the business model of garment enterprises (BMGE) has expanded rapidly in the last decade. However, there is still a lack of comprehensive reviews of it, let alone visual research. Based on scientometrics, in this paper 118 papers and their 4803 references from Science Citation Index Expanded, Social Sciences Citation Index, Conference Proceedings Citation Index—Science, and Conference Proceedings Citation Index—Social Science & Humanities for the period 2010–2020 about the BMGE were analyzed by visualizing the co-cited references, co-occurrence keywords, burst references, dual-map overlays, and more with CiteSpace, Google Maps, and VOSviewer. The research revealed the intellectual landscapes of the BMGE for the first time and mapped the landmark papers, hotspots and trends, national or regional distributions and their cooperation networks, highly cited authors, and prestigious journals and disciplines related to the BMGE. The results show that the biggest hotspot is the fast fashion business model; social responsibility, smart fashion, Internet of Things, and sharing fashion are the main emerging hotspots; and the research focuses has evolved from traditional business models to business models driven by new technologies, then to new issues such as circular economy models. The institutions are mainly distributed in China, the United States, and Western Europe, and there is cooperation between more than 11 countries. The most popular disciplines are economics and politics, while psychology, education, and social science are the essential basic disciplines. The Journal of Cleaner Production and Journal of Fashion Marketing and Management, among others, actively promoted the research.

scholarly journals Application of big data in healthcare: examination of the military experience

2021 ◽  
Author(s):  
David Berry
Keyword(s):  
Big Data ◽  
Vietnam War ◽  
Business Models ◽  
Model Development ◽  
The United States ◽  
Practical Implementation ◽  
Systems Research ◽  
System Versus ◽  
Military Systems ◽  
The Military

AbstractHealthcare is fully embracing the promise of Big Data for improving performance and efficiency. Such a paradigm shift, however, brings many unforeseen impacts both positive and negative. Healthcare has largely looked at business models for inspiration to guide model development and practical implementation of Big Data. Business models, however, are limited in their application to healthcare as the two represent a complicated system versus a complex system respectively. Healthcare must, therefore, look toward other examples of complex systems to better gauge the potential impacts of Big Data. Military systems have many similarities with healthcare with a wealth of systems research, as well as practical field experience, from which healthcare can draw. The experience of the United States Military with Big Data during the Vietnam War is a case study with striking parallels to issues described in modern healthcare literature. Core principles can be extracted from this analysis that will need to be considered as healthcare seeks to integrate Big Data into its active operations.

Minority Participation of the Senior Management of Private U.S. Hospitals

2021 ◽  
pp. 107755872110166
Author(s):  
Gary Gaumer ◽  
Robert Coulam ◽  
Rose Desilets
Keyword(s):  
United States ◽  
Equal Employment Opportunity Commission ◽  
Relative Number ◽  
The United States ◽  
Senior Management ◽  
Local Market ◽  
Organizational Strategies ◽  
Minority Participation ◽  
Bachelor's Degrees ◽  
Market Factors

This article examines minority participation in hospital senior management and how participation varies across areas in response to demographic and other market influences. We use data from Equal Employment Opportunity Commission, United States from 2008 to 2014 reported by private hospitals in the United States, grouped into 381 metropolitan areas. Analysis shows minority participation is sensitive to some local market factors including total population, share of minorities in the population, relative number of minorities with bachelor’s degrees in the population, and the concentration of local hospital markets. But, unlike markets for other hospital jobs (professionals, middle managers, and other jobs), changes in these factors create only small changes in minority participation for senior managers. Our results demonstrate that minority participation in senior management is not going to improve very much from future increases in minority populations and from educational parity. Public policies and deliberate organizational strategies will be required to make substantial improvements in diversity of senior management.

scholarly journals Faux Fur Trade Networks Using Macroscopic Data: A Social Network Approach

2021 ◽  
Vol 13 (3) ◽  
pp. 1427
Author(s):  
Yeong-Hyeon Choi ◽  
Seong Eun Kim ◽  
Kyu-Hye Lee
Keyword(s):  
Social Network ◽  
The United States ◽  
Asian Countries ◽  
Total Trade ◽  
Trade Networks ◽  
Alternative Materials ◽  
The World ◽  
Social Network Approach ◽  
Materials Used ◽  
And Control

This study used social network analysis, which is often adopted to analyze changes in trade structures and the world trade network for faux fur products, which are alternative materials used in vegan fashion. The data on the total trade value of artificial fur (HS Code: 4304) and animal fur and leather (HS Code: 0505) imports and exports between countries were collected through UN Comtrade, and the degree and betweenness centralities were used to analyze the trade structure of faux fur in 2009, 2014, and 2019 using NodeXL 1.0.1 programs. The results of the study are as follows: First, while the total amount of export and import of faux fur is increasing globally every day, the total amount of export and import in other Asian countries and Vietnam is decreasing. Second, due to the reduction in exports of the main producing countries of animal materials such as China, global imports of animal fur and leather decreased. Third, China was the largest ex-porter of faux fur, exporting to a large number of countries; it also played an important role in the intermediation and control over faux fur export. In exporting faux fur, the influence of other Asian countries declined over time, and Vietnam and the United States played an outstanding role as arbitrators in the export network. Fourth, Italy and France were the largest importers of faux fur from various countries and exerted significant influence as intermediaries in the import network of faux fur. On the other hand, Vietnam’s influence in import network decreased. Saudi Arabia appeared to be an important arbitrator in mediating the import. This study is significant due to its findings, obtained through micro-trading data, in respect of industrial moves of ethical fashion in the form of increased trade in faux fur and decline in the trade of animal fur and leather.

scholarly journals Net-zero emission vehicles shift and equitable ownership in low-income households and communities: why responsible and circularity business models are essential

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Nana O. Bonsu
Keyword(s):  
Air Pollution ◽  
Low Income ◽  
Value Chain ◽  
Business Models ◽  
Industrial Revolution ◽  
Technological Development ◽  
Middle Income ◽  
Net Zero ◽  
Zero Emission ◽  
The Uk

AbstractThe UK Plan for a Green Industrial Revolution aims to ban petrol and diesel cars by 2030 and transition to electric vehicles (EVs). Current business models for EV ownership and the transition to net-net zero emissions are not working for households in the lowest income brackets. However, low-income communities bear the brunt of environmental and health illnesses from transport air pollution caused by those living in relatively more affluent areas. Importantly, achieving equitable EV ownership amongst low-and middle-income households and driving policy goals towards environmental injustice of air pollution and net-zero emissions would require responsible and circular business models. Such consumer-focused business models address an EV subscription via low-income household tax rebates, an EV battery value-chain circularity, locally-driven new battery technological development, including EV manufacturing tax rebates and socially innovative mechanisms. This brief communication emphasises that consumer-led business models following net-zero emission vehicles shift and decisions must ensure positive-sum outcomes. And must focus not only on profits and competitiveness but also on people, planet, prosperity and partnership co-benefits.

Manufacturing the Electric Vehicle: A Window of Technological Opportunity for Southern California

1995 ◽  
Vol 27 (6) ◽  
pp. 835-862 ◽  
Author(s):  
C O Quandt
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
The United States ◽  
Vehicle Design ◽  
Development Programs ◽  
Technological Opportunity ◽  
Public And Private ◽  
Vehicle Technology ◽  
Automobile Manufacturer ◽  
Vehicle Technologies

The California Air Resources Board has mandated that by 1998 2% of new vehicles sold in California must be zero emission, effectively, electric vehicles. This requirement is largely responsible for the electric vehicle development programs run by almost every global automobile manufacturer that does business in the United States. At present, no single electric vehicle technology, from battery type, to propulsion system, to vehicle design, represents a standard for a protoelectric vehicle industry. In this paper competing electric vehicle technologies are reviewed, leading public and private electric vehicle research programs worldwide are summarized, and the barriers faced by competing technological systems in terms of manufacturing and infrastructural requirements are examined.

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