Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 02:23 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 4 | 4/4 | 4/4 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 4 / 4 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:23:08.218187+00:00 — 2026-10-22T02:23:54.046031+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 0 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2026 | 4 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 3 | 0 | 0 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
Blockchain is now a powerful tool against dishonesty in the world of finance, offering new ways to make systems safer and more transparent and to help people trust the system. But we’re still figuring out which rules and official structures are needed for blockchain to work well, and how it can specifically reduce fraud in South African financial markets. This research examines how blockchain can address fraudulent financial activities. The researcher conducted extensive reading, identified useful materials, used a specific method to select which materials to draw information from, and carefully collected key details and insights from them. This information was then sorted into topics. The researcher then examined how the different sources related to one another to identify where they agreed, disagreed, or held differing views. They then brought all this analysed information together to form a conclusion and gain some understanding of the original question. Blockchain can significantly reduce fraud in the financial world by using various processes to make systems work better, be more secure, and more open. Features like immutable records, greater transparency, smart contracts, identity verification, real-time checks, fraud prevention with security tokens, and lower costs are all ways blockchain could help combat fraud. Financial markets using blockchain should have strong rules from the government and financial authorities. This means having very clear rules for oversight, being transparent about what is happening, and following the law to build trust, openness, and a system of accountability. What the research shows is important for policymakers and regulators. By showing how blockchain can make markets more honest and reduce fraud, the research suggests regulators should develop rules that allow this technology to be used in finance.
The emergence of tokenization of real-world assets (RWA) has disrupted transformative innovation in global finance, enabling the representation of financial and physical assets on blockchain networks. This study adopts a systematic literature review (SLR) of 25 peer-reviewed research works published between 2015 and 2026, supplemented by authoritative policy and industry reports to explore the implications of RWA tokenization for financial market transformative innovation. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Framework, this study identifies four main research streams: (1) technical and economic drivers, (2) effects of market transformation, (3) regulatory and governance pressures, and (4) risks and adoption dynamics. According to the review, tokenization enhances efficiency, accessibility, and liquidity through continuous trading, smart contracts, and fractional ownership. However, barriers such as technological risks, governance uncertainty, and regulatory fragmentation remain prominent. The study contributes to the academic discourse by providing a comprehensive synthesis of RWA tokenization and emphasizing its implications for developing markets, in particular, financial inclusion and capital formation. The study concludes that although RWA tokenization holds substantial transformative innovation potential, its long-term impact lies in regulatory harmonization, infrastructure development, and empirical validation.
The purpose of this article is to establish factors influencing the adoption of a Blockchain-based tax system for MNEs operating in developing countries. The study was prompted by the fact that the MNEs are a significant contributor to many developing countries. Yet, there is a noticeable gap in literature regarding the factors influencing the adoption of the block-based tax system. By analysing related literature, this research aims to identify the primary drivers of Blockchain-based tax systems. The study adopts a systematic literature review approach, encompassing the analysis and synthesis of relevant literature and authoritative reports. Fifty-five [55] articles were analysed and reviewed. The article found that the adoption and implementation of a Blockchain-based tax system is influenced by technology, regulatory and legal, economic and financial, organisational and human, and contextual factors. In addition, the paper delved into challenges faced by the MNEs and tax authorities that hamper the implementation of the aforementioned technology. A myriad of challenges identified include the lack of preparedness due to lack of digital infrastructure, skills gaps, laws and policies that do not foster innovation and economic growth and the fear of the unknown. This paper recommends training and capacity-building programmes to upskill tax administrators and MNE operators so that they can smoothly embrace emerging technologies with adequate skills and competencies. In addition, there is a need for governments involved to establish legal and regulatory frameworks that foster innovation Also, to close the skills gap, there is a need for collaboration between the industry and academia. The novel contribution of this paper is that it is among studies that have pioneered research on Blockchain-based tax system adoption for MNEs operating in developing countries.
Blockchain technology has emerged as a disruptive force that can transform various sectors, such as financial institutions, supply chain management, and healthcare, by bolstering transparency, traceability, and stakeholder trust. This research conducts a systematic review to investigate the role of blockchain technology in enhancing data security and privacy within information systems. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a thorough analysis of the existing literature sourced from five reputable academic databases (EBSCOhost, Scopus, Google Scholar, IEEE Xplore, and the ACM Digital Library). The research delves into the capabilities of blockchain technology in information systems (IS) to strengthen the security and privacy of data. However, there is a notable gap in research focusing on the role of blockchain in enhancing data security and privacy. The solutions identified encompass the advantages of blockchain, such as transparency, traceability, immutability, scalability, and security within a decentralised ledger. This research contributes fresh insights into the potential of blockchain technology to enhance security and privacy within information systems, offering a foundation for further exploration and innovation.
The emergence of tokenization of real-world assets (RWA) has disrupted transformative innovation in global finance, enabling the representation of financial and physical assets on blockchain networks. This study adopts a systematic literature review (SLR) of 25 peer-reviewed research works published between 2015 and 2026, supplemented by authoritative policy and industry reports to explore the implications of RWA tokenization for financial market transformative innovation. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Framework, this study identifies four main research streams: (1) technical and economic drivers, (2) effects of market transformation, (3) regulatory and governance pressures, and (4) risks and adoption dynamics. According to the review, tokenization enhances efficiency, accessibility, and liquidity through continuous trading, smart contracts, and fractional ownership. However, barriers such as technological risks, governance uncertainty, and regulatory fragmentation remain prominent. The study contributes to the academic discourse by providing a comprehensive synthesis of RWA tokenization and emphasizing its implications for developing markets, in particular, financial inclusion and capital formation. The study concludes that although RWA tokenization holds substantial transformative innovation potential, its long-term impact lies in regulatory harmonization, infrastructure development, and empirical validation.
Blockchain is now a powerful tool against dishonesty in the world of finance, offering new ways to make systems safer and more transparent and to help people trust the system. But we’re still figuring out which rules and official structures are needed for blockchain to work well, and how it can specifically reduce fraud in South African financial markets. This research examines how blockchain can address fraudulent financial activities. The researcher conducted extensive reading, identified useful materials, used a specific method to select which materials to draw information from, and carefully collected key details and insights from them. This information was then sorted into topics. The researcher then examined how the different sources related to one another to identify where they agreed, disagreed, or held differing views. They then brought all this analysed information together to form a conclusion and gain some understanding of the original question. Blockchain can significantly reduce fraud in the financial world by using various processes to make systems work better, be more secure, and more open. Features like immutable records, greater transparency, smart contracts, identity verification, real-time checks, fraud prevention with security tokens, and lower costs are all ways blockchain could help combat fraud. Financial markets using blockchain should have strong rules from the government and financial authorities. This means having very clear rules for oversight, being transparent about what is happening, and following the law to build trust, openness, and a system of accountability. What the research shows is important for policymakers and regulators. By showing how blockchain can make markets more honest and reduce fraud, the research suggests regulators should develop rules that allow this technology to be used in finance.
The purpose of this article is to establish factors influencing the adoption of a Blockchain-based tax system for MNEs operating in developing countries. The study was prompted by the fact that the MNEs are a significant contributor to many developing countries. Yet, there is a noticeable gap in literature regarding the factors influencing the adoption of the block-based tax system. By analysing related literature, this research aims to identify the primary drivers of Blockchain-based tax systems. The study adopts a systematic literature review approach, encompassing the analysis and synthesis of relevant literature and authoritative reports. Fifty-five [55] articles were analysed and reviewed. The article found that the adoption and implementation of a Blockchain-based tax system is influenced by technology, regulatory and legal, economic and financial, organisational and human, and contextual factors. In addition, the paper delved into challenges faced by the MNEs and tax authorities that hamper the implementation of the aforementioned technology. A myriad of challenges identified include the lack of preparedness due to lack of digital infrastructure, skills gaps, laws and policies that do not foster innovation and economic growth and the fear of the unknown. This paper recommends training and capacity-building programmes to upskill tax administrators and MNE operators so that they can smoothly embrace emerging technologies with adequate skills and competencies. In addition, there is a need for governments involved to establish legal and regulatory frameworks that foster innovation Also, to close the skills gap, there is a need for collaboration between the industry and academia. The novel contribution of this paper is that it is among studies that have pioneered research on Blockchain-based tax system adoption for MNEs operating in developing countries.
Blockchain technology has emerged as a disruptive force that can transform various sectors, such as financial institutions, supply chain management, and healthcare, by bolstering transparency, traceability, and stakeholder trust. This research conducts a systematic review to investigate the role of blockchain technology in enhancing data security and privacy within information systems. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a thorough analysis of the existing literature sourced from five reputable academic databases (EBSCOhost, Scopus, Google Scholar, IEEE Xplore, and the ACM Digital Library). The research delves into the capabilities of blockchain technology in information systems (IS) to strengthen the security and privacy of data. However, there is a notable gap in research focusing on the role of blockchain in enhancing data security and privacy. The solutions identified encompass the advantages of blockchain, such as transparency, traceability, immutability, scalability, and security within a decentralised ledger. This research contributes fresh insights into the potential of blockchain technology to enhance security and privacy within information systems, offering a foundation for further exploration and innovation.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |