Current Status of Smart City Researches in China Using the Co-Word Analysis Method

2017 ◽  
Author(s):  
Qinghong Cui ◽  
Hongsheng Kan ◽  
Jinxian Zhao ◽  
Jianhong Shen ◽  
Kai Xue
Keyword(s):  
Smart City ◽  
Current Status ◽  
Analysis Method ◽  
Word Analysis

The current status of smart city research: exposing the division

2019 ◽  
pp. 17-35 ◽  
Author(s):  
Luca Mora ◽  
Alasdair Reid ◽  
Margarita Angelidou
Keyword(s):  
Smart City ◽  
Current Status

Lexical accessing for ambiguous words among advanced Chinese L2 learners

2017 ◽  
Vol 52 (3) ◽  
pp. 209-231
Author(s):  
Helen H. Shen
Keyword(s):  
Lexical Access ◽  
Analysis Method ◽  
Contextual Cues ◽  
Factors Associated ◽  
Word Analysis ◽  
Ambiguous Words ◽  
The Us ◽  
L2 Learners ◽  
Meaning Frequency ◽  
Polysemous Words

Abstract This study investigated factors associated with and strategies used by advanced Chinese L2 learners in accessing the meanings of commonly used polysemous words (lexically ambiguous words) in sentential reading. The participants included 26 learners of Chinese from a Midwest university in the US. The results showed that word frequency, meaning frequency of polysemous words, and learners’ knowledge of polysemous words affected successful lexical access in sentential contexts. Learners mainly used five types of strategies to solve lexical ambiguity problems, of which three were more frequently used: contextual cues, the intra-word analysis method, and the dominant meaning cue. Contextual cues were the most frequently used strategy.

Application of word co-occurrence analysis method in mapping of the scientific fields (case study: the field of Informetrics)

2016 ◽  
Vol 65 (1/2) ◽  
pp. 52-64 ◽  
Author(s):  
Mehri Sedighi
Keyword(s):  
Bibliometric Analysis ◽  
Information Science ◽  
Research Priorities ◽  
Analysis Method ◽  
Content Type ◽  
Word Analysis ◽  
Applied Study ◽  
Technological Developments ◽  
Scientific Fields

Purpose – The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics. Design/methodology/approach – This is an applied study using scientometrics, co-word analysis and network analysis and its steps are summarised as follows: collecting the data related to the Informetrics field indexed in Web of Science (WOS) database, refining and standardising the keywords of the extracted articles from WOS and preparing a selected list of these keywords, drawing the word co-occurrence map in the Informetrics field and analysing of results. Findings – Based on the resulted maps the concepts such as information science, library, bibliometric analysis, innovation and text mining are the most widely used topics in the field of Informetrics. The co-word occurrence maps drawn at different periods show the changes and stabilities in the concepts related to the field of Informetrics. A number of topics such as “bibliometric analysis” are present in all years, whereas others such as “innovation” have disappeared. New topics emerge as a recombination of existing topics and in interaction with new (technological) developments. Originality/value – The results of these analytical studies can be used as a guide for determining research priorities in the scientific fields, and also for planning and management in academic institutions.

scholarly journals Resource Scheduling and Strategic Management of Smart Cities under the Background of Digital Economy

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Qing Yin ◽  
Gang Liu
Keyword(s):  
Strategic Management ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Resource Scheduling ◽  
Communication Technologies ◽  
Digital Economy ◽  
Current Status ◽  
Information And Communication

Smart city is a brand-new city form, in which information and communication technologies are utilized to sense, analyze, and integrate the key information of city operation core system, so that intelligent responses can be immediately and effectively taken to various demands including people’s livelihood, environmental protection, public safety, city services, and industrial and commercial activities. Digital economy is a mixed economy with the coexistence of multiple business models and diversified value creation models based on the information and communication technologies and in the digital economy, many things are undergoing huge changes, and their corresponding economic rules also need to be adjusted. On the basis of analyzing previous research works, this paper expounded the research status and significance of smart city’s resource scheduling and strategic management, elaborated the development background, current status, and future challenges of digital economy, introduced the methods and principles of city-level spatiotemporal data model and spatial full factor coding, formulated resource scheduling strategies for smart city based on digital economy, explored the dynamic fusion, storage, and update of smart city’s multisource heterogeneous data, conducted the information display and analysis of multilevel smart city, proposed strategic management approaches for smart city based on digital economy, analyzed the integrated implementation model of shared resource scheduling and people-oriented social management, and discussed the economic growth factors and standardization mechanism of smart city under the background of digital economy. The results of this study provide a reference for further research studies on the resource scheduling and strategic management of smart city under the background of digital economy.

scholarly journals Using Digital Technology to Address Confirmability and Scalability in Thematic Analysis of Participant-Provided Data

2020 ◽  
Author(s):  
Chung Joo Chung ◽  
J. Patrick Biddix ◽  
Han Woo Park
Keyword(s):  
Thematic Analysis ◽  
Large Scale ◽  
Qualitative Data ◽  
Large Data ◽  
Data Sources ◽  
Analysis Method ◽  
Latent Constructs ◽  
Word Analysis ◽  
Survey Responses ◽  
Conceptual Overview

This article presents a technique for analyzing large-scale qualitative data to address considerations for scalability and confirmability in thematic analysis of participant-provided data. A network approach provides a consistent means of coding that scales with the size of the dataset and is verifiable using standardized methods. This form of data analysis can be used with smaller data sources including interview transcripts as well as large data sources such as open-ended survey responses. A constructivist (inductive) approach is maintained and needed, however, to aid in interpretation of latent constructs. In this article, we provide both a conceptual overview of the co-word analysis method and a practical example.

Ownership Structure and Corporate Governance - A Empirical Study of Chinese Listed Companies

2011 ◽  
Vol 225-226 ◽  
pp. 1314-1317
Author(s):  
Duo Jiao Tan ◽  
Si Lin Yu
Keyword(s):  
Corporate Governance ◽  
Ownership Structure ◽  
Listed Companies ◽  
Governance Structure ◽  
Current Status ◽  
Policy Recommendations ◽  
Analysis Method ◽  
Equity Structure ◽  
Cross Sectional ◽  
Chinese Listed Companies

Based on the cross-sectional data and from the shareholding structure, this paper analyzes the current status of ownership structure of Chinese listed companies, with ROE as the measure of the efficiency of corporate governance. It uses the regression analysis method to study the equity structure effects of listed corporate governance empirically. The conclude points out the factors of imperfect governance structure and the resolutions of that, as well as the policy recommendations of optimizing the ownership structure of listed companies and improving the governance structure.

scholarly journals Developments in the UK road transport from a smart cities perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Subashini Suresh ◽  
Suresh Renukappa ◽  
Abdul-Rashid Abdul-Aziz ◽  
Yogeswary Paloo ◽  
Haddy Jallow
Keyword(s):  
Smart City ◽  
Driving Forces ◽  
Smart Cities ◽  
Road Transport ◽  
Structured Interview ◽  
Current Status ◽  
Transport Sector ◽  
Monitoring And Control ◽  
Content Type ◽  
The Uk

PurposeA smart city is a city that functions in a sustainable and intelligent way, by integrating all of its infrastructures and services in a cohesive way using intelligent devices for monitoring and control, to ensure efficiency and better quality of life for its citizens. As other countries globally, the UK is keen on economic development and investment in smart-city missions to create interest in monetary environment and inward investment. This paper aims to explore the driving forces of smart road transport transformation and implementation in the UK.Design/methodology/approachThe study involved interviews with 16 professionals from the UK road transport sector. A semi-structured interview technique was used to collect experts' perception, which was then examined using content analysis.FindingsThe results of the study revealed that the technological advancement is a key driver. The main challenges faced during the implementation of smart-city elements in the UK road network are lack of investment, maintenance, state of readiness and the awareness of the smart road transport concept. The study concludes that an understanding of the concept of smart cities from a road transport perspective is very important to create awareness of the benefits and the way it works. A wider collaboration between every sector is crucial to create a successful smart city.Originality/valueThe study contributes to the field of digitalisation of road transport sector. This paper reveals the key driving forces of smart road transport transformation, the current status of smart road transport implementation in the UK and challenges of the smart road transport development in the UK.

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