Cluster Analysis of the Internet Industry Development in Different Regions of China Based on Improved K-means Algorithm

IEIS2019 ◽  
2020 ◽  
pp. 29-39
Author(s):  
Jian Ma ◽  
Runtong Zhang ◽  
Xiaomin Zhu
Keyword(s):  
Cluster Analysis ◽  
The Internet ◽  
Industry Development ◽  
Internet Industry

Comparison Analysis and Strategies on the Regional Internet Industry Development in China

2014 ◽  
Vol 687-691 ◽  
pp. 2087-2091 ◽  
Author(s):  
Fang Ma ◽  
Li Hua Chen ◽  
Qi Qi Hu ◽  
Yi Ping Luo
Keyword(s):  
Local Governments ◽  
Eastern China ◽  
Internet Technology ◽  
Central China ◽  
Western China ◽  
The Internet ◽  
Industry Development ◽  
Internet Industry ◽  
Development Level ◽  
Better Than

The internet has become an important engine of economic growth and social progress. China is a vast territory country and the local governments have different policy to promote the application of the internet technology. Therefore, the development of China’s internet industry and regional differences will be studied to discover the regional spread pattern of the internet industry in this article, in order to provide suggestions for the depth development of China’s internet industry. The main finding is there are a lot of differences among China’s internet regional development level. The internet development level of Eastern China has been significantly better than the central and western provinces and cities, and Central China has been better than Western China from 2006 to 2010. Finally, the suggestions will be presented for the regional internet industry development.

scholarly journals Colonialism, capital, and ressentiment

2021 ◽  
Vol 7 (2) ◽  
pp. 152-57
Author(s):  
Franziska Cooiman
Keyword(s):  
The Internet ◽  
Colonial History ◽  
Internet Industry

Vogl’s new book relates finance to the internet industry and economics to politics. Introducing questions of colonial history and racism would further sharpen his view of the drivers and dynamics of contemporary capitalism.

Digital practices across the UK population: The influence of socio-economic and techno-social variables in the use of the Internet

2021 ◽  
pp. 026732312110467
Author(s):  
Daniel Calderón Gómez ◽  
Massimo Ragnedda ◽  
Maria Laura Ruiu
Keyword(s):  
Cluster Analysis ◽  
Social Aspects ◽  
The Internet ◽  
Logit Analysis ◽  
Social Variables ◽  
Technological Factors ◽  
Internet Users ◽  
Socio Economic Variables ◽  
Use Of The Internet ◽  
The Uk

This article investigates the entanglement between socio-economic and technological factors in conditioning people's patterns of Internet use. We analysed the influence of sociodemographic and techno-social aspects in conditioning the distinctive digital practices developed by Internet users. By using a representative sample of UK users and different methods of analysis, such as factor analysis, K-means cluster analysis and logit analysis, this study shows how techno-social variables have a stronger effect than socio-economic variables in explaining the advanced use of the Internet.

A Composite-Model for E-Commerce Diffusion

2008 ◽  
pp. 2929-2947 ◽  
Author(s):  
Alexander Yap ◽  
Jayoti Das ◽  
John Burbridge ◽  
Kathryn Cort
Keyword(s):  
Cluster Analysis ◽  
Regression Model ◽  
Composite Model ◽  
Internet Usage ◽  
The Internet ◽  
Economic Factors ◽  
Cross Country ◽  
Impact Of Technology ◽  
The Impact ◽  
Socio Economic Factors

Why are some countries successful with e-commerce while others flounder? The purpose of this article is to study the impact of technology, cultural, and socio-economic factors on the global diffusion of e-commerce. While past studies have focused on technology reasons alone, this research includes cultural and socio-economic factors as well. Having access to the Internet does not necessarily translate to e-commerce usage. Fundamentally, culture and socio-economic factors are pivotal in bridging the gap between Internet usage and e-commerce diffusion. The objective is to provide a model that quantifies the aggregated influences of all factors on global e-commerce diffusion. A cross-country regression model analyzes the determinants of e-commerce diffusion and the results used in a cluster analysis to provide further evidence that the propensity for e-commerce depends on the interplay among the different factors. The results can provide firms with an improved understanding of strategies to employ while implementing e-commerce.

Latest Technology and Future Trends

2021 ◽  
pp. 270-273
Author(s):  
Meghna Babubhai Patel ◽  
Jagruti N. Patel ◽  
Upasana M. Bhilota
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Smart Devices ◽  
The Internet ◽  
Future Trends ◽  
Internet Industry ◽  
The Neural Network ◽  
Dramatic Rise ◽  
Technological World ◽  
The Way

ANN can work the way the human brain works and can learn the way we learn. The neural network is this kind of technology that is not an algorithm; it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials. It is a fact that the neural network can operate and improve its performance after “teaching” it, but it needs to undergo some process of learning to acquire information and be familiar with them. Nowadays, the age of smart devices dominates the technological world, and no one can deny their great value and contributions to mankind. A dramatic rise in the platforms, tools, and applications based on machine learning and artificial intelligence has been seen. These technologies not only impacted software and the internet industry but also other verticals such as healthcare, legal, manufacturing, automobile, and agriculture. The chapter shows the importance of latest technology used in ANN and future trends in ANN.

scholarly journals Research on market power and market structure

2017 ◽  
Vol 1 (3) ◽  
pp. 210-222 ◽  
Author(s):  
Baowen Sun ◽  
Wenjun Jing ◽  
Xuankai Zhao ◽  
Yi He
Keyword(s):  
Market Power ◽  
Economies Of Scale ◽  
Scale Economy ◽  
The Internet ◽  
Content Type ◽  
Internet Industry ◽  
Empirical Industrial Organization ◽  
Welfare Change ◽  
Internet Platform ◽  
Traditional Industry

Purpose This paper aims to clear whether the monopoly structure of the internet industry has produced market power and discussed the welfare change of the internet industry monopoly. Design/methodology/approach By using new empirical industrial organization methods and taking the e-commerce market as an example, the authors measured market power and economies of scale of the internet platform companies. Findings Internet platform enterprises have formed scale economy, but it has not had market power, and the industry still maintains high levels of competition; also, the emergence of large enterprises may increase the welfare of consumers. Originality/value The conclusion of this paper clarified actual competition status of internet industry and provided a new foothold for regulation and ideas for the traditional industry to crack the Marshall Conflict.

A Product Feature Prioritization-Based Segmentation Model of Consumer Market for Health Drinks

2019 ◽  
Vol 10 (2) ◽  
pp. 70-83
Author(s):  
Chandan Parsad ◽  
Chandra Prakash Chandra ◽  
Shekhar Suman
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Country Of Origin ◽  
The Internet ◽  
Decision Making Process ◽  
Relative Importance ◽  
Consumer Decision Making ◽  
Consumer Market ◽  
Consumer Decision

This study sets out to identify the various factors of a health drink product that affects the consumer decision-making process. It aims to determine the relative importance connected to multiple aspects of health drink beverages, such as brand, nutrition content, taste, muscle building, brain boosting, price, ingredients, and country of origin. The paper also aims to identify consumer segments by the relative importance consumers give to various attributes of health drinks. Through examining the literature, the researchers identified various attributes of health drinks, which they analyzed empirically using a choice-based conjoint survey conducted with the help of the internet-based software 1000minds. Cluster analysis was also done to identify different consumer segments. The study identified two consumer segments: brand conscious and value conscious. As the name indicates, the brand-conscious segment gives more importance to a trusted brand, followed by nutrition content and price.

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