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: 3 / 3 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 07:22 UTC — 22 Oct 2026 01:16 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 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 6 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-21T07:22:50.542362+00:00 — 2026-10-22T01:16:00.945158+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 2 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 1 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 |
|---|---|
| 2023 | 3 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 5 | 6 | 1/1 | 5.0 | 5 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to identify the most influential blockchain types for potential implementation areas in the transforming mobility ecosystem, considering application area-specific needs such as transparency, transaction speed, scalability, energy usage, security, and operating cost. The study demonstrated the hybrid blockchain suitability for most of the 13 distinguished mobility applications, while private and consortium blockchains are found applicable based on the needs of specific use cases. A public blockchain is only found suitable for two of the use cases. Proof of Authority and Proof of Stake matches well with most use cases, while Practical Byzantine Fault Tolerance and Proof of Work could be suitable in particular.
The primary aim of this study was to assess the suitability of blockchain technology for improving the efficiency of supply chain operations in the public sector in Tanzania. Blockchain technology (BT) is a contemporary and rapidly growing technology that has gained widespread popularity globally due to its capacity to connect several stakeholders (blocks) worldwide with the aim of enhancing efficiency in business transactions. With this perspective in mind, the researcher was driven to evaluate the capabilities of blockchain technology in the field of supply chain in Tanzania. This evaluation concentrated on three distinct areas: the degree of public awareness of blockchain technology, the strategies used by public bodies to use blockchain technology, and the significant issues that obstruct the implementation of blockchain technology. The study utilized network theory as a framework to analyze the findings. It employed a descriptive survey approach, with a sample size of 192 respondents who were engaged as registered procurement experts in public institutions. In collecting data from respondents, structured questionnaires were prepared using Google Forms and submitted to respondents through their e-mails. A total of 154 questionnaires were properly filled out and submitted, for a response rate of 80.2%. The data was analyzed using descriptive statistics and correlation analysis. The results show that 74.7% of the respondents are unaware of the application of blockchain technology in supply chain operations. In terms of practice, the majority of public entities (67%) use e-payment as the main application of blockchain technology. Additionally, 64% of the respondents identified technical issues and a lack of understanding as the main challenges affecting the application of blockchain technology. Moreover, the study demonstrates a robust correlation between the utilization of blockchain technology and the enhancement of efficiency in supply chain operations. Ultimately, the study suggests implementing an extensive awareness campaign targeted at practitioners in order to enhance the rate of adoption and fully use the capabilities of blockchain technology in Tanzania.
Whilst e-commerce continues to grow, it has met privacy, trust, and security challenges. Blockchain technology is among the solutions that e-commerce can use to address these challenges. Blockchain technology poses benefits but comes with its challenges. The purpose of this study was to systematically review literature that focused on the state and prospects of blockchain technology in e-commerce. Specifically, the research question is what is the state of the application of blockchain technology in e-commerce? The study conducted searches using four databases (EbscoHost, Science Direct, IEEE Explore, and Jstor) as well as Google Scholar. Exclusion and inclusion criteria were applied in the searches to answer the research question. In total, 25 articles were used for this research and were thematically analysed. The results showed that while there are many benefits in implementing blockchain technologies in e-commerce, there are also challenges. The benefits include an increase in privacy, enhanced security, and minimized costs of transactions. The challenges are tax evasion, black market transactions, and lack of regulation. Results also showed blockchains are used to track product movement and originality. The study's novel contribution is to theory by developing a model for the application, benefits, and challenges of the blockchain technology ecosystem in e-commerce. The study contributes to policy by focusing on sustainable development goals 7 and 9. The research also contributes to the body of knowledge on the application of blockchain. Businesses, scholars, government officials, and other stakeholders can use this study to understand the application, challenges, and benefits of blockchain in e-commerce.
The primary aim of this study was to assess the suitability of blockchain technology for improving the efficiency of supply chain operations in the public sector in Tanzania. Blockchain technology (BT) is a contemporary and rapidly growing technology that has gained widespread popularity globally due to its capacity to connect several stakeholders (blocks) worldwide with the aim of enhancing efficiency in business transactions. With this perspective in mind, the researcher was driven to evaluate the capabilities of blockchain technology in the field of supply chain in Tanzania. This evaluation concentrated on three distinct areas: the degree of public awareness of blockchain technology, the strategies used by public bodies to use blockchain technology, and the significant issues that obstruct the implementation of blockchain technology. The study utilized network theory as a framework to analyze the findings. It employed a descriptive survey approach, with a sample size of 192 respondents who were engaged as registered procurement experts in public institutions. In collecting data from respondents, structured questionnaires were prepared using Google Forms and submitted to respondents through their e-mails. A total of 154 questionnaires were properly filled out and submitted, for a response rate of 80.2%. The data was analyzed using descriptive statistics and correlation analysis. The results show that 74.7% of the respondents are unaware of the application of blockchain technology in supply chain operations. In terms of practice, the majority of public entities (67%) use e-payment as the main application of blockchain technology. Additionally, 64% of the respondents identified technical issues and a lack of understanding as the main challenges affecting the application of blockchain technology. Moreover, the study demonstrates a robust correlation between the utilization of blockchain technology and the enhancement of efficiency in supply chain operations. Ultimately, the study suggests implementing an extensive awareness campaign targeted at practitioners in order to enhance the rate of adoption and fully use the capabilities of blockchain technology in Tanzania.
Whilst e-commerce continues to grow, it has met privacy, trust, and security challenges. Blockchain technology is among the solutions that e-commerce can use to address these challenges. Blockchain technology poses benefits but comes with its challenges. The purpose of this study was to systematically review literature that focused on the state and prospects of blockchain technology in e-commerce. Specifically, the research question is what is the state of the application of blockchain technology in e-commerce? The study conducted searches using four databases (EbscoHost, Science Direct, IEEE Explore, and Jstor) as well as Google Scholar. Exclusion and inclusion criteria were applied in the searches to answer the research question. In total, 25 articles were used for this research and were thematically analysed. The results showed that while there are many benefits in implementing blockchain technologies in e-commerce, there are also challenges. The benefits include an increase in privacy, enhanced security, and minimized costs of transactions. The challenges are tax evasion, black market transactions, and lack of regulation. Results also showed blockchains are used to track product movement and originality. The study's novel contribution is to theory by developing a model for the application, benefits, and challenges of the blockchain technology ecosystem in e-commerce. The study contributes to policy by focusing on sustainable development goals 7 and 9. The research also contributes to the body of knowledge on the application of blockchain. Businesses, scholars, government officials, and other stakeholders can use this study to understand the application, challenges, and benefits of blockchain in e-commerce.
This study aims to identify the most influential blockchain types for potential implementation areas in the transforming mobility ecosystem, considering application area-specific needs such as transparency, transaction speed, scalability, energy usage, security, and operating cost. The study demonstrated the hybrid blockchain suitability for most of the 13 distinguished mobility applications, while private and consortium blockchains are found applicable based on the needs of specific use cases. A public blockchain is only found suitable for two of the use cases. Proof of Authority and Proof of Stake matches well with most use cases, while Practical Byzantine Fault Tolerance and Proof of Work could be suitable in particular.
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 |