Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

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Bibliometric analysis of twenty-year research trend in desalination technologies during 2000-2020

Journal of The Korean Society of Water and Wastewater ◽

10.11001/jksww.2021.35.1.039 ◽

2021 ◽

Vol 35 (1) ◽

pp. 39-52

Author(s):

Gyeonghun Lee ◽

◽

Hye-Won Kim ◽

Chanhee Boo ◽

Youngbin Beak ◽

...

Keyword(s):

Bibliometric Analysis ◽

Research Trend

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RESEARCH TREND AND STATUS OF FORESTRY BASED ON ESSENTIAL SCIENCE INDICATORS DURING 2010–2020: A BIBLIOMETRIC ANALYSIS

Applied Ecology and Environmental Research ◽

10.15666/aeer/1906_49414957 ◽

2021 ◽

Vol 19 (6) ◽

pp. 4941-4957

Author(s):

B.Z. YUAN ◽

J. SUN

Keyword(s):

Bibliometric Analysis ◽

Research Trend ◽

Essential Science Indicators

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Scientific Publication Analysis: Financial Reporting Quality Insight

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d8013.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 3159-3173

Keyword(s):

Bibliometric Analysis ◽

Financial Reporting ◽

Reporting Quality ◽

Specific Area ◽

Scientific Publication ◽

Research Area ◽

Research Trend ◽

Research Association ◽

Financial Report ◽

Accounting Scandals

After most shocking accounting scandals happen to Enron and WorldCom, most of the countries around the globe started to analyse their existing financial standards realising the importance to have sturdy corporate governance in order to produce high quality financial report. To further understand the nature of the research topic, a broad of research association is necessary. This study focus on conducting bibliometric analysis, with the objective to determine the research trend especially in FRQ area based on total publications, co-authorship among countries and authors, and co-occurrence of authors keywords. Bibliometric analysis is a method of analysing database publication trend based on specific area such as FRQ, risk and economics. By using Scopus database, total of 396 articles is extracted between 1993 to 2018. The result suggested that, the interest on FRQ study start to bloom from 2008 and experience a steady increment until 2018. About 50 percent of the total global publication of FRQ research area was published by researchers from USA and China, leading the other countries like Indonesia, Korea and Malaysia. It is also documented that top research institute who actively publishes on FRQ research also coming from USA. The recent sub-theme of FRQ arguably focusing other area such earnings management and discretionary accruals. This study arguably important to professional bodies in their attempt to convince the directors the benefit associated by enhancing the quality of FRQ.

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Assessment of the history and trends of “The Journal of Intellectual Capital”: a bibliometrics, altmetrics and text mining analysis

Journal of Intellectual Capital ◽

10.1108/jic-02-2020-0057 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Mohammadreza Esmaeili Givi ◽

Mohammad Karim Saberi ◽

Mojtaba Talafidaryani ◽

Mahdi Abdolhamid ◽

Rahim Nikandish ◽

...

Keyword(s):

Text Mining ◽

Bibliometric Analysis ◽

Intellectual Capital ◽

Topic Modeling ◽

Editorial Team ◽

International Studies ◽

Content Type ◽

Number Of Publications ◽

Relative Prevalence ◽

Increasing Trends

PurposeThe Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key trends in this journal during 2000–2019.Design/methodology/approachTwo types of citation and textual data during a 20-year journal period were retrieved from the Scopus database. The citation structures and contents were explored based on a combination of bibliometric analysis, altmetric analysis and text mining. The journal themes and trends of their changes were analyzed through citation bursts, mapping and topic modeling. To make a better comparison, the text mining process for the topic modeling of the IC field was performed in addition to the topic modeling of JIC.FindingsBibliometric analysis indicated that JIC has experienced a remarkable growth in terms of the number of publications and citations over the last 20 years. The results indicated that JIC plays a significant role among IC researchers. Additionally, a large number of researchers, institutes and countries have made contributions to this journal and cited its research papers. Altmetric analysis showed that JIC has been shared in different social media such as Twitter, Facebook, Wikipedia, Mendeley, Citeulike, news and blogs. Text mining abstract of JIC articles indicated that “measurement,” “financial performance” and “IC reporting” have the relative prevalence with increasing trends over the past 20 years. In addition, “research trends” and “national and international studies” had a stable trend with low thematic share.Research limitations/implicationsThe findings have important implications for the JIC editorial team in order to make informed decisions about the further development of JIC as well as for IC researchers and practitioners to make more valuable contributions to the journal.Originality/valueUsing bibliometric analysis, altmetric analysis and text mining, this study provided a systematic and comprehensive analysis of JIC. The simultaneous use of these methods provides an interesting, unique and suitable capacity to analyze the journals by considering their various aspects.

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