Trends in Multidiscipline Management Research: Past, Present and Future of FIIB Business Review

Kaurav, Rahul Pratap Singh; Gupta, Piyush

doi:10.1177/23197145221136966

Cited by 22 publications

(7 citation statements)

References 41 publications

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“…In this work, we do bibliometric analysis using R Studio software. We acquired our base data from the Scopus database, and our keywords were supply chain digitalization, climate competitiveness, and closed loop supply chain; after searching via keywords and before limited to criteria, we reached 3202 papers, and then we started to apply the limited criteria, such as (stream: Business Management & Accounting, source type: Journal, no author, duplicate titles, and language: English); after we applied those criteria, we reached 935 papers (Ahmad et al, 2023;Donthu et al, 2021;Gan et al, 2022;Kaurav & Gupta, 2022;Lim et al, 2022;Pandey et al, 2023;Valenzuela-Fernández & Escobar-Farfán, 2022). see Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Digitalisation On Automotive Supply Chain for Climate Competitiveness: A Systematic Bibliometric Analysis

Manikrishna,

Sai,

Jaggaiah

et al. 2024

Intl. J. Rel.

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The automotive industry, a cornerstone of global manufacturing, is undergoing a profound transformation driven by digitalization. This research paper explores the impact of digitalization on the automotive supply chain and its role in enhancing climate competitiveness. As the industry strives to meet stringent environmental standards and consumer demands for sustainability, leveraging digital technologies becomes imperative. We use R Studio software to perform bibliometric analysis in this study. Our initial repository for data came from the Scopus database. Following a keyword search and before applying the limited criteria, we were able to find 3202 papers. We then started integrating the limited criteria, which included the following: stream: Business Management & Accounting, source type: Journal, no author, duplicate titles, and language: English. After applying these criteria, we were able to find 935 papers. We selected citations, bibliographical data, abstracts and keywords, funding information, and other data before exporting our database from Scopus.

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Section: Methodsmentioning

confidence: 99%

Digitalisation On Automotive Supply Chain for Climate Competitiveness: A Systematic Bibliometric Analysis

Manikrishna,

Sai,

Jaggaiah

et al. 2024

Intl. J. Rel.

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“…Bibliometric metadata represents various relationships, such as publications and citations ( Ding et al, 2017 ). Bibliometric analysis helps connect the journal’s several variables, which future researchers can use to move towards the proper direction ( Kaurav & Gupta, 2022 ). The impact of the publications is measured through their citations, whereas the number of publications only quantifies their productivity ( Svensson, 2010 ).…”

Section: Methodsmentioning

confidence: 99%

“…This one paper will help in explaining the multidisciplinary of the journal: Kaurav & Gupta (2022) 1 …”

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confidence: 99%

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The journey of F1000Research since inception: through bibliometric analysis

2023

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Background: Bibliometric analysis is an approach adopted by researchers to understand the various analytics such as year-wise publications, their citations, most impactful authors and their contributions, identification of emerging keywords, multiple themes (niche, motor, basic, and emerging or declining) etc. F1000Research is one of the Q1 category journals that publishes articles in various domains, but a detailed journal analysis is yet to be done. Methods: This study is an effort to extract the F1000Research journey information through bibliometric analysis using VOS-viewer and Biblioshiny (R-studio) interface. The F1000Research journal started its journey in 2012; since then, 5767 articles have been published until the end of 2022. Most of the published articles are from medical science, covering Biochemistry, Genetics & Molecular Biology, Immunology & Pharmacology, Toxicology & Pharmaceutics. To understand the research journey, various analyses such as publication & citation trends, leading authors, institutions, countries, most frequent keywords, bibliographic coupling between authors, countries and documents, emerging research themes, and trending keywords were performed. Results: The United States is the biggest contributor, and COVID-19 is the most commonly occurred keyword. Conclusions: The present study may help future researchers to understand the emerging medical science domain. It will also help the editors and journal to focus more on developing or emerging areas and to understand their importance towards society. Future researchers can contribute their quality research studies, focusing on emerging themes. These authors’ research can guide future researchers to develop their research area around the most impacted articles. They can collaborate with them to bring that emerging theme forward.

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“…As a consequence, there is confusion amongst international business people regarding what actually will occur and timelines for these expected changes (Alon, 2020). This article seeks to capitalize on the substantial interest from international business managers in knowing how, when and if to implement artificial intelligence (Alon et al, 2020;Hanaysha et al, 2022;Kaurav & Gupta, 2022). Borges et al (2021) suggest that the artificial intelligence field has developed based on a human-centred and rationalist approach.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence, Digital Trends and Globalization: Future Research Trends

Ratten

2024

FIIB Business Review

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Artificial intelligence is rapidly changing businesses based on digital trends and globalization. The aim of this article is to focus on emerging research trends regarding artificial intelligence that will influence global business management. This is significant as there have been rapid changes recently regarding artificial intelligence, including the surge in interest in generative forms. This article summarizes the trends taking place in the adoption process of artificial intelligence and what business managers need to do in order to increase their competitiveness. A brief history of how artificial intelligence has developed is stated, along with the main international business uses for artificial intelligence. Implications at the managerial and policy levels are stated that highlight the relevance and interesting nature of artificial intelligence in international business.

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Trends in Multidiscipline Management Research: Past, Present and Future of FIIB Business Review

Cited by 22 publications

References 41 publications

Digitalisation On Automotive Supply Chain for Climate Competitiveness: A Systematic Bibliometric Analysis

Digitalisation On Automotive Supply Chain for Climate Competitiveness: A Systematic Bibliometric Analysis

The journey of F1000Research since inception: through bibliometric analysis

Artificial Intelligence, Digital Trends and Globalization: Future Research Trends

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