Co-word Analysis Research Articles

Psychological capital research in HEIs: Bibliometric analysis of current and future trends

This study presents a comprehensive bibliometric analysis of the literature on psychological capital (PsyCap) within higher education institutions (HEIs). Its main objective is to offer an encompassing perspective on this field's current state and potential developments. To achieve this, the study examines present research trends and predicts future directions using a bibliometric approach. A total of 412 journal articles were gathered from the Web of Science database. The analysis identifies influential publications, outlines the knowledge structure, and forecasts future trends through bibliographic coupling and co-word analyses. The bibliographic coupling revealed five distinct clusters, while the co-word analysis identified four clusters. Despite the growing significance of PsyCap research in HEIs, there remains a need for greater academic efforts to comprehend the research landscape fully. This paper provides valuable insights into the expanding area of PsyCap research within HEIs. In conclusion, the study sheds light on the extensive research conducted on PsyCap in the context of HEIs and offers insights into its potential for further growth.

Transforming higher education institutions through EDI leadership: A bibliometric exploration

This comprehensive bibliometric study analyzes 1820 journal articles from the Web of Science database to explore Equity, Diversity, and Inclusion (EDI) leadership in higher education institutions (HEIs). Utilizing co-citation and co-word analysis, the study identifies distinct thematic clusters. The co-citation analysis reveals five key themes: Race, Diversity, and Inclusion (RDI), Diversity, Leadership, and Self-Efficacy (DLSE), Gender Dynamics and Leadership Challenges, Women's Representation in Academic Medicine Leadership, and Transformational Leadership in HEIs. Meanwhile, the co-word analysis highlights three critical areas: Transformative Collaborative Resilience in HEIs, Advancing Gender Equality in Academic Medicine and STEM, and Inclusive Educational Leadership in HEIs. These themes collectively provide a deep understanding of the EDI leadership field's intellectual structure, suggesting significant areas for future research and practical application. The study emphasizes the necessity for HEIs to engage comprehensively in EDI leadership research, shedding light on the importance of transformative collaborative resilience, gender equality in STEM, and inclusive leadership. This research offers valuable insights for developing effective EDI leadership policies and practices, highlighting the interconnectedness of these themes in fostering a more equitable, diverse, and inclusive environment in higher education and beyond.

Mapping the intellectual structure and evolution of information technology and auditing: a bibliometric review

Purpose- The goal of this study is to conduct a bibliometric analysis of papers relevant to information technology (IT) and auditing that were published in the Web of Science Core Collection database between 1978 and 2022. Methodology- This study does a bibliometric analysis of 2991 audit and information technology publications from a pool of 7738. It works in two steps: descriptive performance metrics and co-word analysis. The descriptive metrics include publishing patterns, productive nations and authors, effect on certain areas and journals, number of citations by country, and publications with the highest citations. The co-occurrence analysis maps the ties between concepts by utilizing social network analysis methods to investigate the field's interconnections. Findings- This study identifies six major trends in IT and auditing: increased technology use in internal auditing, the demand for information security expertise, transparency in the digital age, technology for ethical auditing, cloud-based auditing with blockchain, and post-COVID IT continuous auditing standards. These trends highlight the need for auditors to adapt to evolving technology and ethical considerations, prioritizing data security and privacy. Additionally, the survey reveals key authors, publications, and countries in this field, offering valuable insights for industry leaders and potential research collaborations. Conclusion- This study provides a complete overview of the topic of IT and auditing by integrating several methodological techniques. This study provides direction for future research in addition to offering significant insight into the main research trends, issues, and problems in this subject. Keywords: Information technology, auditing, co-occurrence analysis, bibliometric analysis. JEL Codes: M41, M42

The evolution of smart hotels: A bibliometric review of the past, present and future trends

This study provides a bibliometric analysis of smart hotel research, drawing from 613 publications in the Web of Science (WoS) database to examine scholarly trends and developments in this dynamic field. Smart hotels, characterized by integrating advanced technologies such as AI, IoT, cloud computing, and big data, aim to redefine customer experiences and operational efficiency. Utilizing co-citation and co-word analysis techniques, the research delves into the depth of literature from past to future trends. In co-citation analysis, clusters including "Sustainable Hotel and Green Hotel", "Theories Integration in Smart Hotel Research", and "Consumers' Decisions about Green Hotels" underscore the pivotal areas of past and current research. Co-word analysis further reveals emergent trend clusters: "The New Era of Sustainable Tourism", "Elevating Standards and Guest Loyalty", and "Hotels' New Sustainable Blueprint in Modern Travel". These clusters reflect the industry's evolving focus on sustainability and technology-enhanced guest experiences. Theoretically, this research bridges gaps in smart hotel literature, proposing new frameworks for understanding customer decisions amid technological advancements and environmental responsibilities. Practically, it offers valuable insights for hotel managers, guiding technology integration strategies for enhanced efficiency and customer loyalty while underscoring the critical role of green strategies and sustainability.

Unveiling the intellectual structure of informality: Insights from the socioeconomic literature.

In the socioeconomic sphere, the concept of informality has been used to address issues pertaining to economic dynamics, institutions, work, poverty, settlements, the use of space, development, and sustainability, among others. This thematic range has given way to multiple discourses, definitions and approaches that mostly focus on a single phenomenon and conform to traditional disciplinary lines, making it difficult to fully understand informality and adequately inform policymaking. In this article, we carried out a multilevel co-word analysis with the purpose of unveiling the intellectual structure of socioeconomic informality. Co-occurring document keywords were used, initially, to delimit the scope of the socioeconomic dimension of informality (macro level) and, later, to identify its main concepts, themes (meso level) and sub-themes (micro level). Our results show that there is a corpus of research on socioeconomic informality that is sufficiently differentiable from other types of informality. This corpus, at the same time, can be divided into six major themes and 31 sub-themes related, more prominently, to the informal economy, informal settlements and informal institutions. Looking forward, the analysis suggests, an increasing focus on context and on the experience of multiple 'informalities' has the potential, on the one hand, to reveal links that help unify this historically fragmented corpus and, on the other hand, to give informality a meaning and identity that go beyond the traditional formal-informal dualism.

Visualising Current Research Trends in Class Imbalance using Clustering Approach: A Bibliometrics Analysis

In recent years, extensive research has been carried out on big data class imbalance problems using the clustering approach. The bibliometric analysis employs statistical techniques to map and assess trends in a specific research domain based on keywords, author affiliations, and citations. Bibliographic analysis assists us in comprehending unstructured big data. This study aims to present a comprehensive literature review on class imbalance problems using the clustering approach and identify gaps in the research domain using bibliometric analytical techniques. The Scopus and Web of Science databases were used to extract 663 articles on class imbalance data using a clustering approach published between 2010 and 2021. We used the VOS (Visualisation of Similarities) viewer to visualise the bibliometric analytical outcomes. Co-citation and co-word analysis were used to visualise the publication trend and identify areas of current research interest. The study's key findings evidenced a growing interest in the research domain. Herrera, f., and Chawla N. V. are dominant authors in this field, and China is leading the publication in the clustering approach for the big data imbalance problem. The top three affiliations are from China: Tsinghua University, the Chinese Academy of Sciences, and Beihang University. Conducting an in-depth bibliometric analysis using other databases such as Science Direct, IEEE, and Emerald is recommended. This study may assist researchers in understanding the nature of the big data imbalance problem using a clustering approach and providing insights for future research derived from these worldwide databases.

Analysis of Trends in Scientific Publication Topics for Lecturers in the Department of Computer Engineering and Informatics, Medan State Polytechnic Using Co-Words Analysis

Research in the pertinent subject is a key component in the advancement of science. This was carried out in an effort to address a number of issues and broaden the body of knowledge in this scientific domain. In Indonesia, academics, practitioners, and researchers hold seminars hosted by government and non-government organizations with the goal of giving them a platform to enhance scientific articles by offering corrections to their findings. Papers, theses, dissertations, and scientific journals were the primary sources of information for earlier bibliometric scholars. This is done in order to observe information utilization, gathering, obsolescence, knowledge mapping, etc. The background information for this research is as follows, based on the material above: first, there is no knowledge mapping to identify trends in research topics, particularly in computer science-related scientific articles, particularly in the Department of Computer Engineering and Informatics at Medan State Polytechnic. The problem to be researched will be formulated using numerical measuring instruments based on trends in research topics and bibliometric studies of scientific articles in proceedings in the field of computer and information science at seminars and conferences in Indonesia.

Institutional theory and multinational corporation internationalization strategy: a systematic review and future research agenda

PurposeThis study reviews the literature on institutional theory in international business and examines the institutional factors behind the success or failure of multinational corporations (MNCs) in emerging markets.Design/methodology/approachThis systematic literature review analysed 116 peer-reviewed articles published in leading journals between 2005 and 2022. The R package Bibliometrix and VOSviewer visualization software were used for analysis. A hybrid methodology combining bibliometric and content analyses was utilized to obtain a descriptive evaluation of the publication impact along with a keyword co-occurrence map, context-specific institutional effects and subsidiary strategies.FindingsThe Journal of International Business Studies, along with influential authors such as Mike W. Peng, Klaus Meyer, and Mehmet Demirbag, have taken the lead in advancing institutional theories for MNC internationalization in emerging markets. The clusters from the co-word analysis revealed dominant MNC entry modes, institutional distances and MNC localization strategies. The content analysis highlights how the institutional environment is operationalized across the macro-, micro- and meso-institutional contexts and how the MNC subsidiary responds in emerging markets. Meso-level interactions emphasize the relational aspects of business strategies in emerging markets.Practical implicationsContextualizing subsidiary strategies and institutional forms can help managers align their strategic responses to the dynamic relationship between subsidiaries and the institutional environment. The review findings will enable policymakers to simplify regulatory policies and encourage MNC subsidiary networks with local stakeholders in emerging markets.Social implicationsLegitimacy strategies such as corporate community involvement in emerging markets are crucial for enhancing societal support and removing stakeholders' scepticism for MNC business operations in emerging markets. Moral legitimacy should be implemented by managers, such as lending support to disaster management efforts and humanitarian crises, as they expand to new business environments of emerging markets.Originality/valueThis study is the first to explore institutional diversity and subsidiary strategic responses in a three-layered institutional context. The findings highlight the relevance of contextualizing institutional perspectives for international business scholars and practitioners as they help build context-specific theoretical frameworks and business strategies. Future research recommendations are suggested in the macro-, micro- and meso-institutional contexts.

Research landscape of energy transition and green finance: A bibliometric analysis

This study utilizes bibliometric analysis to examine historical and present research patterns in the area of energy transition and green finance and to forecast potential future domains. Using the bibliometric method, 328 scholarly articles from the Web of Science database were evaluated. This paper identifies influential publications, maps the research landscape, and forecasts emerging tendencies through co-citation and co-word analyses. Co-citation analysis found three main clusters, while co-word analysis revealed four main clusters. Despite the growing significance of research on energy transition and green finance research, further in-depth investigation is necessary to offer a thorough depiction of the research domain. This research represents a pioneering endeavour in the utilization of bibliometric analysis to investigate the interrelationship between two items. It offers valuable insights into the rapidly expanding field of energy transition and green finance, effectively highlighting its contours and indicating potential future developments.

Visual Knowledge Domain of Artificial Intelligence in Computed Tomography: A Review Based on Bibliometric Analysis.

Artificial intelligence (AI)-assisted medical imaging technology is a new research area of great interest that has developed rapidly over the last decade. However, there has been no bibliometric analysis of published studies in this field. The present review focuses on AI-related studies on computed tomography imaging in the Web of Science database and uses CiteSpace and VOSviewer to generate a knowledge map and conduct the basic information analysis, co-word analysis, and co-citation analysis. A total of 7265 documents were included and the number of documents published had an overall upward trend. Scholars from the United States and China have made outstanding achievements, and there is a general lack of extensive cooperation in this field. In recent years, the research areas of great interest and difficulty have been the optimization and upgrading of algorithms, and the application of theoretical models to practical clinical applications. This review will help researchers understand the developments, research areas of great interest, and research frontiers in this field and provide reference and guidance for future studies.

Charting the Path of Technology-Integrated Competence in Industrial Design during the Era of Industry 4.0

The fusion of emerging technologies with industrial design has catalyzed a fundamental shift in the aesthetics, user experiences, and service frameworks of products in the Industry 4.0 era. Simultaneously, this convergence has heightened the demands placed on the technological integration competencies of designers. Consequently, there exists a necessity to articulate a precise developmental trajectory for proficiency in industrial design that incorporates these novel technologies. This study initiates with a bibliometric analysis to quantify the scholarly literature relevant to this research domain. Subsequently, leveraging the insights from this analysis, semi-structured interviews were conducted with 15 experts spanning the United States, Europe, South Korea, and China. Our conclusions show the following: (1) Co-word analysis and cluster analysis techniques are applied to identify 80 technologies and four technological clusters that demonstrate strong associations with industrial design in the Industry 4.0 era. (2) Employing coding techniques and thematic analysis, four distinct skill domains emerge for technology-integrated industrial design: Industrial Design Skills, Industrial Design Knowledge, Ethical Considerations in Industrial Design, and Industrial Design Industry Insight. Furthermore, a limitation that affects these competencies is identified. (3) A recommended methodology for assessing these competencies is proposed. This study represented an expansion upon existing industrial design competencies. The empirical data generated herein serves as a valuable resource for practitioners and educators within the field of industrial design. Furthermore, it provides a theoretical groundwork for future models addressing technology-infused industrial design capabilities.

How social organizations participate in social governance in China: Official media's attention distribution analysis (1949-2021).

The attitude of the Chinese government towards social organizations (SOs) is crucial, as it affects the management rule and development tendency of SOs. To research the rule of SOs' participation in social governance in China, this study used a new historical perspective, the institutional development perspective, to conduct its exploration. This perspective provides an accurate measure of the reality of the SOs' participation, as it involves a mixed research methodology using continuous data from 73 years of reports and content mining, as well as topic clustering analysis to reveal a macroscopic and multi-line picture. Using a co-word analysis of hundreds of reports, from 1949-2021, in the People's Daily, an official newspaper of the Communist Party of China, this study quantified changes in intensity, emotion, and content regarding social organization participation in social governance through topic distribution. Three trends were revealed: (1) "social-oriented character" and "organized-oriented character" were identified during the change in SOs; (2) the extent of being managed gradually strengthened and shifted from the Communist Youth League of China to the Community Party of China; (3) the goals of SOs shifted from general to innovated function in special charitable organizations. The institutional development perspective can complement the focus event perspective, including a new method, co-word analysis, to examine official Chinese media and validate the Administrative Absorption of Society (AAS) theory by identifying two lines of topic clustering trends. The attention distribution analysis in official media from an institutional development perspective can help explore the role of official media reports in analyzing the allocation of national attention and provide new analytical methods for big data mining to establish the social and organizational natures of SOs to optimize their roles. It offers a basis for modern social governance policy innovation in China.

Attention-based view

Objective: To present a review and prognosis of academic research focused on the field of Attention-Based View (ABV). Methodology: Bibliometric analysis using co-word analysis and co-citation techniques of 165 relevant articles published between 2004 and 2021 in journals included in the Web of Science and Scopus databases, considering conceptual and intellectual structures, trends, and possible paths for the field of ABV. The retrieved articles were selected based on the key terms present in the title, abstract, and keywords. Relevance: Identifies the field development, research network, documents the most relevant journals and articles, concepts, and the intellectual framework of prominent authors. Findings: The seminal author, Ocasio, is the most expressive and the center of all networks in ABV research. The leading journal, according to the number of articles published, is the Strategic Management Journal. The conceptual structure presents three groups: the central roots of ABV, the attentional dynamics within organizations, and managerial cognition. Relevant topics are strategic change and communication channels, strategy as practice and studies in multinational companies (MNCs), organizational design, senior management team and governance. Theoretical implications: To present the state of the art, to integrate ABV knowledge and identify gaps for future research showing new trends, such as interfaces with metacognition and governance. Practical implications: Top management team decision-making process is ABV dependent so organizational architecture and its dynamics plays a crucial role in strategy for business success.

SWEBoK-based Bibliometric Analysis of Software Engineering

In our research study spanning 2015-2021, we analyzed Software Engineering (SE) across 15 Knowledge Areas (KAs) outlined by SWEBoK. Using Web of Science (WoS) database, we examined 32,232 articles (2015-2017), 31,459 articles (2018-2020), and 6,919 articles (2021). Collaborative and co-word networks were generated using VOS Viewer. Our findings reveal SE's influence in 81 research areas. English dominated, but Spanish and Portuguese were notable. Europe led in publications, with USA and China prominent. Stronger collaboration networks, especially in the USA and China, correlated with increased research output. Asian countries' rise was evident from 2018-2021. Top 10 highly cited papers and co-word analysis were included, aiding researchers and educators. SE's impact crossed domains, enabling cross-disciplinary research and informing educators' course designs. Institutional and country productivity influenced partnerships and academia-industry collaborations. Multinational companies gauged research potential through active countries. Analyzing co-words depicted trends, and highly cited papers set industry standards. Bibliometric analysis offered qualitative and quantitative research evaluation.

Development Status, Comparison and Inspiration of Integrated Circuit Virtual Simulation Teaching at Home and Abroad

Abstract The cultivation of higher vocational integrated circuit technology professionals requires a complete practical training teaching system and practical training conditions, especially integrated circuit layout design, production process, packaging and testing and other process personnel training needs to be completed in a real work scenario, the virtual simulation training is just for the integrated circuit professional education and teaching to provide support. This paper takes CNKI, SCI and EI databases as the research data source. It uses word frequency analysis and co-word analysis in statistical analysis to quantitatively analyze the development status of virtual simulation teaching of integrated circuits at home and abroad. And combined with the clustering analysis algorithm to explore the integration results of the keywords of integrated circuit virtual simulation teaching at home and overseas, and give the path to improve the high-quality development of integrated circuit virtual simulation teaching. It has been found that the domestic research related to IC virtual simulation teaching has improved by 80 times during 2000–2022, but the foreign research is 1.642 times higher than the domestic one. In addition, domestic and foreign countries are mainly focused on virtual simulation and innovative practice, respectively, and their word frequencies have reached 465 and 596 times respectively. Higher vocational colleges and universities need to optimize the teaching mode of industry-teaching integration, use virtual simulation technology to help students understand the knowledge related to integrated circuits, and provide technical support for improving the quality of talent training.

The Knowledge Structure and Development Trend in Artificial Intelligence Based on Latent Feature Topic Model

Currently, with the rapid development of science and technology, the field of artificial intelligence presents characteristics such as a wide crossover of disciplines and fast update, and the field of artificial intelligence has become a new focus of international competition. As an interdisciplinary field, the field of artificial intelligence has rich knowledge and strategic management significance. This article conducts an in-depth study on the knowledge structure and evolution trends in the field of AI, and the main work is as follows. First, a new potential feature topic model New-LDA is proposed for the study of topic recognition, which enhances the feature learning ability of the traditional LDA model, and makes up for the deficiency of the traditional LDA model in the ability of recognizing topics in complex environments. Second, the knowledge structure in the field of AI is analyzed from two aspects: topic recognition and coword analysis. The time series model is introduced to establish the topic evolution network, and the high-frequency words in three periods are compared and analyzed to find the evolution regular of knowledge structure in the AI domain. Finally, taking the cross-discipline of AI as an example, the thematic evolution of the field and its cross-discipline is analyzed to determine the future development direction and evolutionary trend of the field of AI.

Core knowledge and evolution trend of sports industry research in China based on co-word analysis

Core knowledge and evolution trend of sports industry research in China based on co-word analysis

Core knowledge and evolution trend of sports industry research in China based on co-word analysis

Core knowledge and evolution trend of sports industry research in China based on co-word analysis

Review of Solid Waste Resource Utilization for Brick-making

The utilization of solid waste resources is an essential strategy in the pursuit of sustainable development. Among the various techniques used for solid waste treatment, brick-making technology stands out as a key approach to facilitate the utilization of solid waste resources. This article provides a comprehensive review and summary of the recent research progress in the field of solid waste resource utilization for brick-making. It mainly focuses on the current state and technological advancements in brick-making using solid waste. Considering the influence of different external factors and variations in brick-making raw materials, this study employs the Citespace software to conduct co-word and clustering analysis, with “resource utilization” as the primary keyword. Furthermore, it introduces the brick-making technology utilizing sludge and red mud as raw materials, while also elaborating on advanced techniques and practical experiences in utilizing industrial and urban solid waste as raw materials. Additionally, the article presents an overview of the key development trends in this field and puts forward several recommendations for future research to aid designers in furthering their investigation.

Coaching in organization – bibliometric analysis (co-word and cluster analysis)

Coaching in organization – bibliometric analysis (co-word and cluster analysis)