scholarly journals Kawaii Culture in Japan: A Bibliometric Analysis and Text Mining Approach Based on Pop-Cultural Diplomacy and Transmission into Global Values

2020 ◽  
Vol 3 (4) ◽  
pp. 3990-4004
Author(s):  
Hiroko Oe ◽  
Max Weeks
Keyword(s):  
Text Mining ◽  
Bibliometric Analysis ◽  
Cultural Diplomacy ◽  
Pop Culture ◽  
Future Research ◽  
Research Topics ◽  
Text Data ◽  
Key Dimensions ◽  
Global Values ◽  
Cultural Experts

This research aims to develop a discussion framework for Kawaii cultural study based on a bibliometric analysis and text mining approach. First, a bibliometric analysis is conducted on literature pertaining to ‘Kawaii and Japanese pop culture’ extracted from the academic database; from this standpoint, the current research topics in the field of Kawaii study are discussed. Second, we aim to provide direction for future research by mining the text data disseminated by three special exhibitions launched by Japanese museums on the theme of ‘Japanese Kawaii culture’ and planned by Kawaii cultural experts and curators. From the results of these two studies, the present research develops a discussion framework containing key dimensions and factors for researchers in this field of study.

scholarly journals Capacidades Digitais: Uma Revisão Bibliométrica

2020 ◽  
Vol 12 (3) ◽  
pp. 483-510
Author(s):  
Gabrieli Marques Camillo ◽  
Silvio Luis De Vasconcellos ◽  
Mohamed Amal
Keyword(s):  
Bibliometric Analysis ◽  
Dynamic Capabilities ◽  
Digital Transformation ◽  
Future Research ◽  
Research Topics ◽  
Theoretical Frameworks ◽  
Business Economics ◽  
Resource Based View ◽  
Main Research ◽  
Research Perspectives

Purpose – To identify the theoretical frameworks and the mains topics that support the concept of digital capabilities.Theoretical framework – This study is the result of a bibliometric analysis. The main research topics that structure this research are: Digital Transformation and Digital Capabilities.Design/methodology/approach – The scientometry design has been utilised through VOSviewer software, resulting in a bibliometric analysis of 741 papers from journals in the area of business, economics and social sciences. Papers were collected in the Scopus database.Findings – The results reveal that the main theoretical frameworks are connected with the resource-based view, dynamic capabilities and strategy in digital transformation. The topics that support the concepts of digital capabilities are: digital transformation, industry 4.0, innovation, electronic commerce and innovation in business models.Research, Practical Social implications – The implications are the indication of theories, concepts and recommendations for the advancement of research on digital capabilities from other existing works. Such recommendations address research gaps identified through systematic and objective analysis. The results make it possible to propose future research perspectives. Empirically, this study helps managers to find the main research topics in the field of research regarding digital capabilities. Moreover, it allows them to understand how the use of these strategies concerning digital transformation can generate sustainable competitive advantage.Originality/value – This study contributes with the indication of theories, concepts and recommendations for the advancement of research regarding digital capabilities. The consolidation of the topic that is still expanding contributes to the advancement of the theory.  

Review of Perfectionism Research From 1990 to 2019 Utilizing a Text-Mining Approach

2021 ◽  
pp. 108926802110188
Author(s):  
Hanna Suh ◽  
Seoyoung Kim ◽  
Dong-gwi Lee
Keyword(s):  
Text Mining ◽  
Topic Modeling ◽  
Personality Characteristic ◽  
Future Research ◽  
Multinomial Regression ◽  
Research Topics ◽  
Word Analysis ◽  
The Past ◽  
Research Findings ◽  
Meta Analyses

Perfectionism is a personality characteristic that has been explored for its implications in mental health; reviews and meta-analyses were conducted to synthesize research findings. This study systemically synthesizes the perfectionism literature using a text-mining approach. Co-word analysis and Dirichlet Multinomial Regression topic modeling were performed on a total of 1,529 perfectionism abstracts published from 1990 to 2019. Analysis revealed that perfectionism research is closely connected with “disorder,” with “symptom” being the most frequently addressed issue. Topic-modeling results found a total of 15 topics represented perfectionism research of the past three decades. Most articles were published in psychology journals, with social and clinical psychology subdisciplines publishing perfectionism articles most frequently. There were overlaps in research topics by journal subdisciplines, while differences were also observed. This study provides a panoramic view of perfectionism literature and highlights frequently and infrequently explored areas that could be considered in future research endeavors.

scholarly journals Thirty Years of Research on Succession in the Field of Family Business: A Bibliometric Analysis

2021 ◽  
Vol 17 (1) ◽  
pp. 88
Author(s):  
Atar Benismael ◽  
Mohamed Nabil El mabrouki
Keyword(s):  
Bibliometric Analysis ◽  
Family Business ◽  
Scientific Literature ◽  
Future Research ◽  
Research Topics ◽  
Scientific Publications ◽  
Research Directions ◽  
Word Analysis ◽  
Different Types ◽  
Future Research Directions

Bibliometric analysis is the application of statistical methods to quantitatively analyze scientific publications. It makes it possible to evaluate the production of a laboratory, a journal or a field of research. The objective of this study is to carry out an analysis of the scientific literature published on succession in the field of family business over the last thirty years. Two different types of indicators were used. The first concerns the activity indicators, which provides information about the productivity of journals and authors. The second is about co-citation analysis which gives an idea of the links between researchers, and co-word analysis which identifies interactions and relationships between different research topics. The results obtained reveal that it is a relatively recent area of research with strong connections between authors. Gaps in the literature as well as future research directions are also presented.

An Analysis on Text Mining Techniques for Smart Literature Review

2021 ◽  
Vol 10 (2) ◽  
pp. 1284-1288
Keyword(s):  
Text Mining ◽  
Review Paper ◽  
Evaluation Criteria ◽  
Unstructured Data ◽  
Future Research ◽  
Literature Analysis ◽  
Research Papers ◽  
Text Data ◽  
Web Technologies ◽  
Analysis Process

With the development of web technologies, databases and social networks etc. a large amount of text data is generated each day. Mostof the data on the internet is in unstructured form. This unstructured data can provide valuable knowledge. For getting valuable knowledge from text data text mining techniques are used widely. As each day large amounts of research papers were published in journals and conferences. These research papers are very valuable for future research and investigations. These research papers act as a source for future innovations. Researchers write review papers to give updated knowledge about the specific field. But review papers used a limited number of papers and involved manually reading each paper. Due to the large volume of research papers published each day, it is not possible for the researchers to go through each paper to find the updated knowledge about their field of interest. To automate the literature analysis process different techniques of text mining were used. This paper provides a review of text mining techniques used in automatic literature analysis. We collected papers in which previous literature is used with text mining techniques to get valuable knowledge. This review paper presented an overview of text mining techniques, their evaluation criteria, their limitations and challenges for exploring literature to find research trends.

Mapping the Field of Research on Entrepreneurial Organizations (1937–2016): A Bibliometric Analysis and Research Agenda

2019 ◽  
Vol 44 (4) ◽  
pp. 784-816 ◽  
Author(s):  
Jan Lampe ◽  
Priscilla Sarai Kraft ◽  
Andreas Bausch
Keyword(s):  
Bibliometric Analysis ◽  
Research Agenda ◽  
Future Research ◽  
Research Topics ◽  
Research Opportunities ◽  
Entrepreneurial Organizations ◽  
Theoretical Foundations

Research on entrepreneurial organizations has grown rapidly over recent decades. However, prior research has developed different ways to conceptualize entrepreneurial organizations, resulting in an ongoing discussion and a highly complex body of research, thus hindering the evolution of the literature. To improve our understanding of the structure and content of the field, we provide a synthesis of these conceptualizations and how they are reflected in the literature through a bibliometric analysis. Our findings uncover research topics and theoretical foundations of the field and how certain conversations pursue them through different conceptualizations. Building on our results, we identify future research opportunities.

scholarly journals Technological Innovation in the Food Industry: A Bibliometric Analysis

2021 ◽  
Vol 32 (3) ◽  
pp. 197-209
Author(s):  
Mauricio Castillo-Vergara ◽  
Issis Quispe-Fuentes ◽  
Jacqueline Poblete
Keyword(s):  
Bibliometric Analysis ◽  
Technological Innovation ◽  
Food Industry ◽  
Decision Makers ◽  
Future Research ◽  
Bibliometric Indicators ◽  
Research Topics ◽  
Main Research

Technological innovation is a matter of interest to governments, decision-makers, entrepreneurs, and researchers due to its impact on competitiveness, which is why publications in this field have grown exponentially. To synthesize the main research topics and highlight possible lines for future research, this work aims to develop a bibliometric analysis of technological innovation in the field of the food industry, based on the review of 1015 papers published in specialized journals. The methodology consists of analyzing bibliometric indicators of quantity and quality using the VOSviewer and SCIMat tools. The results show recognition of the different lines in which the research has organized the debate, grouping them into 12 main themes positioned on a strategic map. Furthermore, this study presents directions for future research obtained from the analysis of existing gaps. This study contributes to the literature on innovation by providing a systematization of technological innovation in the food industry.

Amplifying Participant Voices Through Text Mining

2020 ◽  
pp. 231-247
Author(s):  
Jonathan S. Lewis
Keyword(s):  
Text Mining ◽  
Thematic Analysis ◽  
Large Scale ◽  
Future Research ◽  
Text Data ◽  
Tremendous Amount ◽  
Mining Methods ◽  
Survey Responses ◽  
Research And Policy ◽  
Lengthy Discussion

Text mining presents an efficient, scalable method to separate signals and noise in large-scale text data, and therefore to effectively analyze open-ended survey responses as well as the tremendous amount of text that students, faculty, and staff produce through their interactions online. Traditional qualitative methods are impractical when working with these data, and text mining methods are consonant with current literature on thematic analysis. This chapter provides a tutorial for researchers new to this method, including a lengthy discussion of preprocessing tasks and knowledge extraction from both supervised and unsupervised activities, potential data sources, and the range of software (both proprietary and open-source) available to them. Examples are provided throughout the paper of text mining at work in two studies involving data collected from college students. Limitations of this method and implications for future research and policy are discussed.

scholarly journals Bibliometric analysis and visualization of Islamic economics and finance articles indexed in Scopus by Indonesian authors

2020 ◽  
Vol 7 (2) ◽  
pp. 169-176
Author(s):  
Luqman Hakim Handoko
Keyword(s):  
Bibliometric Analysis ◽  
Statistical Methods ◽  
Talent Development ◽  
Citation Network ◽  
Bibliographic Coupling ◽  
Future Research ◽  
Research Topics ◽  
Islamic Microfinance ◽  
Scopus Database

Purpose: This study aimed to analyze the bibliometric characteristics and trends of articles on Islamic economics and finance (IEF) indexed in Scopus by Indonesian authors.Methods: Data were retrieved from the Scopus database. Articles were searched in June 2020 with the limitation of Indonesian authors or affiliation. The keywords used in this study included IEF, and variations thereof, with the search filtered by Indonesian affiliation. Simple statistical methods were used, and a bibliometric analysis was conducted using VOSviewer software. This study visualized patterns of the co-occurrence of keywords, citations of documents, co-citation relationships, and bibliographic coupling.Results: The number of studies in the field of IEF increased in recent years. Articles on IEF have been published in more than 150 journals, among which the most popular was <i>Talent Development and Excellence</i>. Collaboration among authors reached 33 countries, most prominently Malaysia. Certain keywords, such as halal tourism, zakat, and Islamic microfinance, have become the most popular in the last few years. The bibliometric analysis showed that 24 documents had the largest citation relationship, 52 journals had the largest co-citation network, and 172 documents had the largest bibliographic coupling relationship.Conclusion: Research in the field of IEF by Indonesian authors has increased rapidly, with extensive collaboration. <i>Halal</i> tourism is among the most popular research topics in the last few years and is a prospective topic for future research. Moreover, the results showed that sources on IEF were widely used as references.

scholarly journals Gaming for Healthcare: A Bibliometric Analysis in Business and Management

2020 ◽  
Vol 13 (12) ◽  
pp. 27
Author(s):  
Filomena Izzo ◽  
Ida Camminatiello
Keyword(s):  
Game Theory ◽  
Strategic Management ◽  
Bibliometric Analysis ◽  
Future Research ◽  
Research Topics ◽  
Private Healthcare ◽  
Subjective Assessments ◽  
Research Stream ◽  
Business And Management ◽  
Over Time

The purpose of this paper is to scrutinize and classify the literature linking gaming for healthcare and management phenomena. An objective bibliometric analysis is conducted, supported by subjective assessments based on studies focused on the linking of gaming for healthcare and management fields. From the analysis and its evaluation, three clusters depicting literature linking gaming for healthcare and management phenomena are showed: management and governance public/private healthcare system; gaming and knowledge/strategic management; management health/medical insurance system using game theory. Moreover, the study shows the limits of existing literature on this topic and proposes future research topics. This is one of the first attempts to comprehend the research stream which, over time, has paved the way to the intersection between gaming for healthcare and management fields.

scholarly journals Global Isotopic Hydrograph Separation Research History and Trends: A Text Mining and Bibliometric Analysis Study

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2529
Author(s):  
Yunlong Yu ◽  
Zhao Jin ◽  
Junping Qiu
Keyword(s):  
Stable Isotope ◽  
Text Mining ◽  
Bibliometric Analysis ◽  
Quantitative Research ◽  
Research Field ◽  
Future Research ◽  
Field Variation ◽  
Hydrograph Separation ◽  
Runoff Generation ◽  
The Future

Scientific research into isotope hydrograph separation (IHS) has rapidly increased in recent years. However, there is a lack of systematic and quantitative research to explore how this field has evolved over time. In this study, the methods of text mining and bibliometric analysis were combined to address this shortcoming. The results showed that there were clear periodical characteristics in IHS studies between 1986 and 2019. High-frequency words, e.g., catchment, stable isotope, runoff, groundwater, precipitation, runoff generation, and soil, were the basic topics in IHS studies. Forest and glacier/snow were the main landscapes in this research field. ‘Variation’, ‘spatial’, and ‘uncertainty’ are hot issues for future research. Today, studies involving the geographical source, flow path, and transit/residence time of streamflow components have enhanced our understanding of the hydrological processes by using hydrometeorological measurements, water chemistry, and stable isotope approaches. In the future, new methods, such as path analysis and ensemble hydrograph separation, should be verified and used in more regions, especially in remote and mountainous areas. Additionally, the understanding of the role of surface water in streamflow components remains limited and should be deeply studied in the future.

Sign in / Sign up

Export Citation Format

Share Document