Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis

Kumar, Satish; Lim, Weng Marc; Sivarajah, Uthayasankar; Kaur, Jaspreet

doi:10.1007/s10796-022-10279-0

Cited by 114 publications

(71 citation statements)

References 88 publications

(154 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the reporting sub-stage, this study is similar to previous systematic literature reviews (Donthu et al 2021 ; Goodell et al 2021 ; Khan et al 2021 ; Kumar et al 2022 ; Mukherjee et al 2022 ) and presents results in form of figures, tables, and word. This study did not receive any financial support.…”

Section: Methodology and Datasupporting

confidence: 57%

“…The objective of the identification sub-stage was to find articles on the association between FinTech and sustainability. The Scopus database was selected as search engine as it includes highly ranked journals compared to other databases (Kumar et al 2022 ). The search syntax includes the keywords “FinTech” or “Financial Technology” and “Sustainability.” The search syntax was performed in Scopus on November 19, 2022, and yielded 155 documents and 112 sources.…”

Section: Methodology and Datamentioning

confidence: 99%

“…Most studies have examined FinTech as an outcome of the development and growth of blockchain and artificial intelligence technologies (Fernandez-Vazquez et al 2019 ; Cumming et al 2022 ; Goodell et al 2021 ; Kumar et al 2022 ) as well as digital transformation (Dorfleitner et al 2022 ). Several recent studies have explored the role of FinTech in improving financial innovation (Menne et al 2022 ; Najib et al 2021 ; Shin and Choi 2019 ; Zhao et al 2019 ) and ensuring sustainable development (Deng et al 2019 ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis

Ellili

2022

J Financ Serv Mark

View full text Add to dashboard Cite

This study highlights the latest trends in the literature on the relationship between FinTech and sustainability by applying a bibliometric review of documents published in the Scopus database. Bibliometric analysis is a quantitative method that allows researchers to highlight core foundations and recent trends in a specific research field. This analysis was based on trend, evolution, bibliometrics, mapping, and qualitative content analyses. Based on a bibliometric review of 59 papers retrieved from the Scopus database, this study explores the most frequent keywords; the most influential authors, organizations, and countries; the most cited papers; the most co-cited reference papers; and sources. Evolution analysis was conducted using CiteSpace; bibliometric and mapping analyses were performed using VOSviewer; and content analysis was performed using WordStat. The results identified three major clusters: sustainability performance, blockchain technology, and digital transformation. Additionally, the results reveal that the analysis of the association between FinTech and sustainability has experienced increasingly important growth in 2021, reflecting the importance of financial technologies and innovations in business. The findings of this study have implications for Fintech and sustainability research and highlight the importance of Fintech in the development and execution of sustainability strategies and practices, as well as the most relevant research methods. This study provides an overview of how the literature on the association between FinTech and sustainability has developed, as well as a summary of the most influential authors along with countries, organizations, and journal sources. This study offers an opportunity for future research in this field.

show abstract

Section: Methodology and Datasupporting

confidence: 57%

Section: Methodology and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis

Ellili

2022

J Financ Serv Mark

View full text Add to dashboard Cite

show abstract

“…Bibliographic coupling is based on links; it identifies the level of overlap between citing texts, revealing the field’s research fronts. This method is widely used in bibliometric analysis to explore the intellectual structures of the most influential documents in fields of research (Donthu et al., 2021; Goyal and Kumar, 2021; Kumar et al ., 2017, 2022). The more frequently two articles cite a typical article, the more similar they are considered in the research domain (Weinberg, 1974).…”

Section: Methodsmentioning

confidence: 99%

Financial capability: a systematic conceptual review, extension and synthesis

Xiao

Huang

Goyal

et al. 2022

IJBM

Self Cite

View full text Add to dashboard Cite

PurposeThis study aims to examine the literature on consumer financial capability. By analyzing the research trends, theories, definitions and themes, the literature on financial capability is synthesized, and agenda for future research is suggested. A framework is presented that portrays the antecedents as well as the outcomes of financial capability and their interlinkages.Design/methodology/approachFollowing a systematic approach, the review is based on 215 articles published during January 2007 and–March 2022, retrieved from Scopus. It presents the definitions and theories of financial capability, publication trends, influential articles, prominent authors, prolific journals and countries publishing on financial capability. Using bibliographic coupling, the intellectual structure of the topic is explored, along with offering a framework through content analysis.FindingsThe bibliographic coupling analysis identifies four major clusters of research themes and capability theory appeared to be the most prominent theory. The synthesis draws upon five conceptual definitions of financial capability. Based on the discussion, in this review, financial capability is defined as an individual ability to apply appropriate financial knowledge, perform desirable financial behaviors and take available financial opportunities for achieving financial well-being. A conceptual framework delineates the synthesized literature and propositions based on this framework and relevant research are proposed. Finally, directions for future research are discussed.Originality/valueThis paper is an attempt to offer a comprehensive synthesis of the scholarship on financial capability and its conceptualization. It further proposes an extensive future research agenda. The study has implications for financial services providers relating to retail bank marketing.

show abstract

“…Today, lung cancer has been regarded as one of the serious death causes of cancer worldwide. Scientists have determined that in order to deal with around 1.9 million new lung cancer cases globally, it is important to undertake the help of blockchain materials for applying the CNN method [5]. It has been recorded that around 13% of all critical lung cancer cases can be detected and diagnosed by using this blockchain technical approach [6].…”

Section: Introductionmentioning

confidence: 99%

An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN

Aboamer

Sikkandar

Gupta

et al. 2022

Journal of Food Quality

View full text Add to dashboard Cite

Deep learning (DL) is a new approach that provides exceptional speed in healthcare activities with greater accuracy. In this regard, “convolutional neural network” or CNN and blockchain are two important parts that together fasten the disease detection procedures securely. CNN can detect and predict diseases like lung cancer and help determine food quality, and blockchain is responsible for data. This research is going to analyze the extension of blockchain with the help of CNN for lung cancer prediction and making food safer. CNN algorithm has been trained with a huge number of images by altering the filters, features, epoch values, padding value, kernel size, and resolution. Subsequently, the CNN accuracy has been measured to understand how these factors affect the accuracy. A linear regression analysis has been carried out in IBM SPSS where the independent variables selected are image dataset augmentation, epochs, features, pixel size (90 × 90 to 512 × 512), kernel size (0–7), filters (10–40), and padding. The dependent variable is the accuracy of CNN. Findings suggested that a larger number of epochs improve the CNN accuracy; however, when more than 12 epochs are considered, the accuracy may decrease. A greater pixel/resolution also improves the accuracy of cancer and food image detection. When images are provided with excellent features and filters, the CNN accuracy improves. The main objective of this research is to comprehend how the independent variables affect the accuracy (dependent), but the reading may not be fully exact, and thus, the researcher has conceded out a minor task, which delivered evidence supportive of the analysis and against the analysis. As a result, it can be determined that image augmentation and a large number of images develop the CNN accuracy in lung cancer prediction and food safety determination when features and filters are applied correctly. A total of 10–12 epochs are desirable for CNN to receive 99% accuracy with 1 padding.

show abstract

Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis

Cited by 114 publications

References 88 publications

Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis

Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis

Financial capability: a systematic conceptual review, extension and synthesis

An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN

Contact Info

Product

Resources

About