An Exploratory Study on the Study Trend of Domestic Entrepreneurship Using Co-word Analysis Method

2011 ◽  
Vol 28 (3) ◽  
pp. 295-312 ◽  
Author(s):  
Young-Su Kim ◽  
Jong-Nam Ko ◽  
Man-Seung Do
Keyword(s):  
Exploratory Study ◽  
Analysis Method ◽  
Word Analysis

Research on Corporate Sustainability

2021 ◽  
pp. 49-69
Author(s):  
H. Buluthan Cetintas
Keyword(s):  
Content Analysis ◽  
Research Methods ◽  
Exploratory Study ◽  
Corporate Sustainability ◽  
Brand Value ◽  
Analysis Method ◽  
Sustainability Research ◽  
Content Analysis Method ◽  
Subject Areas ◽  
Over Time

Corporate sustainability (CS) has many advantages such as enhancing brand value, providing reputation, and also focuses on gaining the trust of stakeholders. This is a qualitative exploratory study; its goal is to understand how CS research has changed over time. The most cited articles were selected from the journals indexed in SSCI (2000-2019). One hundred and two articles were selected and analyzed by content analysis method. Nature of typical samples, major themes, and research methods used were sought to investigate in CS research. Results showed that there was some scarcity in studies choosing a particular country as a sample. There were no articles in areas important for sustainability research. Besides, index types are barely used in articles. Some subject areas have attracted attention for years and haven't lost their popularity, but some remained in the background. The most used method was content analysis.

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 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.

scholarly journals Pola Kajian Hari Kiamat: Sorotan 30 Tahun Literatur Secara Sistematik (1988-2018) (Research on Judgment Day: 30th Years Systematic Literature Review (1988-2018)

2020 ◽  
Vol 7 (1) ◽  
pp. 85-101
Author(s):  
Khairul Asyraf Mohd Nathir ◽  
Mohd Sukki Othman ◽  
Nik Farhan Mustapha ◽  
Wan Muhammad Wan Sulong
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Exploratory Study ◽  
Document Analysis ◽  
Analysis Method ◽  
Systematic Analysis ◽  
The Past ◽  
Mathematical Table ◽  
Different Dimensions ◽  
Objective Research

Research on Judgment Day is a form of tauhīd development of faith and belief in the existence of the Judgment Day. In the past 30 years (1988-2018), there are 23 studies that have been done in different dimensions by focusing on the signs and secrets of the Judgment day. The study was produced either in the form of material collections, debates in book, qualify for academic degrees and articles published in seminars or journal papers. The purpose of this study is to highlight the development of the Judgment Day study through several different dimensions. Hence, this qualitative study will review the literature of Judgment Day by using the document analysis method and based on the mathematical table "Systematic Literature Review (SLR)" and Atlas.ti 8 software. This systematic analysis focuses on background study, research objective, research design and findings of the study. The findings show that the Judgment Day has been split into three themes, namely the study of the Qur'an and the hadith, the study of Arabic grammar and the new exploratory study which is students' understanding of Judgment Day. Of the three themes, there are 12 sub-themes that have been released.

Improving the co-word analysis method based on semantic distance

2017 ◽  
Vol 111 (3) ◽  
pp. 1521-1531 ◽  
Author(s):  
Jia Feng ◽  
Yun Qiu Zhang ◽  
Hao Zhang
Keyword(s):  
Semantic Distance ◽  
Analysis Method ◽  
Word Analysis

scholarly journals Analysis Of Hotspots In The Field Of Domestic Knowledge Discovery Based On Co-Word Analysis Method

2014 ◽  
Vol 14 (5) ◽  
pp. 145-158 ◽  
Author(s):  
X. D. Wang ◽  
J. J. Liu ◽  
F. S. Sheng
Keyword(s):  
Knowledge Discovery ◽  
Correlation Matrix ◽  
Applied Research ◽  
System Construction ◽  
Analysis Method ◽  
Algorithm Optimization ◽  
Research Knowledge ◽  
Dissimilarity Matrix ◽  
Word Analysis ◽  
International Knowledge

Abstract In this paper, choosing highly frequent keywords from core journals in the field of 1992-2013 national knowledge discovery in CNKI database, counting the number of two frequent keywords co-occurrences in the same journal, then constructing the highly frequent keywords matrix, and transforming the highly frequent keywords matrix into a correlation matrix and a dissimilarity matrix, we analyze the dissimilarity matrix based on the use of factor analysis, cluster analysis. After discussing the results of the analysis, we found that the current hotspots in the field of domestic knowledge discovery have focused on the following six aspects, knowledge discovery based on data research, knowledge discovery algorithm optimization research, the model of knowledge discovery and references research, knowledge management based on domain ontology, expert system construction research, and applied research of the knowledge discovery. Finally, we summarized the research hotspots in the field of international knowledge discovery in the same way and suggested the domestic scholars to extend some directions of the research in the field of knowledge discovery.

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