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: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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: 22 Oct 2026 00:30 UTC — 22 Oct 2026 03:09 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.
5 / 6 with data · 1 missing or unmatched. Percentages use all 6 selected publications.
5 / 6 with data · 1 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
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 6 / 6 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): 2026-10-22T00:30:26.250851+00:00 — 2026-10-22T03:09:22.834285+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 2 | 6 | 6/6 |
| 2023 | All selected publications | 4 | 6 | 6/6 |
| 2024 | All selected publications | 4 | 6 | 6/6 |
| 2025 | All selected publications | 4 | 6 | 6/6 |
| 2026 | All selected publications | 2 | 6 | 6/6 |
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 |
|---|---|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2024 | 1 |
| 2025 | 2 |
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 Finance & Banking Studies SSBFNET | 6 | 7 | 16 | 6/6 | 1.17 | 1.0 | 66.7 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of the study is aimed at determining the financial socialisation of accounting students at South African universities and the factors that influence financial socialisation. The research used statistical techniques such as the structural equation modelling methodology to identify financial socialisation influencers and regression analysis to analyse associations between financial socialisation and socio-demographic variables among 1582 students. The study's results indicate that financial socialisation agents such as relatives, friends, and social media have little impact on most students' financial decisions. The majority of accounting students are often found to be financially socialised by their immediate family members rather than peers or social media factors. The regression analysis results confirmed this observation, revealing a statistically significant association between the parents' level of education and the students' financial socialisation. This study recommends that financial socialisation can be greatly improved by raising parents' educational levels and instilling financial education in university students' curricula, especially in South Africa.
The purpose of the study is to prove that social media has an effect on the behavior of millennial investors mediated by financial risk tolerance. The data collected through the questionnaire was processed and tested for the validity and reliability of the construct. This study uses Structure Equational Modelling (SEM) and passes the criteria for model fit and quality indices to determine the strength of the structural model of the study before testing the hypothesis. This study found that social media and financial risk tolerance variables directly affect investor behavior, social media affects financial risk tolerance and is able to mediate social media relations with investor behavior. The mediating effect of risk tolerance is very strong on social media relations as a provider of market information with investor’s stock trading behavior, both buying and selling. This study also found that investors tend to make biased decisions when faced with bear market conditions, namely showing overreaction behavior.
The study aimed at evaluating financial record keeping on financial performance of SMEs in Kinigi Sector. The study was guided by three specific objectives. A descriptive design with a population of 447 and sample size of 211 SMEs was adopted. The study has a pilot study which have been carried and shown a reliable type of instrument which was used to collect information relating to the research objectives. The results of objective one has a low mean showing that there is little or simply insufficiency in ensuring that transactions of the business are not updated accordingly to reflect the activities done in the business. Results of objective two and three as well show a low level suggesting a very low attempt in ensuring record keeping updates and accuracy and it has been seen that it affects the SMEs financial performance. The study studied the relationship by Pearson correlation which have shown a perfect relationship on self-sub variables in the study but also showing a medium significance between financial record updates, record storage, record accuracy and financial performance. The study concluded reminding positive relationship between the study independent variable parameters of financial record keeping together with the dependent variable for selected small scale and medium enterprises in Kinigi Sector; this have shown that a change in the practices of record keeping affect the financial performance of small scale and medium enterprises in Kinigi Sector. The study has made recommendations in relation to the objectives where small and medium enterprises have been recommended to carry out the financial record keeping to ensure that there is proper performance and as well the government policy makers to enhance the courage of record keeping to encourage financial performance in Kinigi Sector.
Changes in individual activities lead to changes in behavior. In particular, adolescents experience changes in learning and teaching activities, resulting in a gap between the amount of time available and the lack of activities that adolescents can do. It becomes a momentum for adolescents to create new activities, one of which is investing in the capital market. The relationship between emotional intelligence and adolescents’ intention to become investors, as well as the moderating effect of financial literacy in the relationship. These values indicate that the model is suitable enough to explain about 42.8%-52.6% of changes in the relationships tested. Emotional intelligence has a positive effect on adolescents’ intention to become investors, and financial literacy is able to strengthen this influence. This study contributes to a greater understanding of the importance of emotional intelligence and financial literacy when adolescents have the intention to become investors, especially when capital market uncertainty increases. As capital market uncertainty increases, adolescents should be able to assimilate emotional intelligence with their financial literacy to obtain greater returns. It may encourage adolescents to keep choosing their career as an investor. These results have significant theoretical contributions and provide recommendations for industry and policymaker. This can encourage teens to still choose their careers as investors. These results have significant theoretical contributions and provide recommendations for industry and policymakers.
This study investigates the impact of financial literacy, financial inclusion, and financial behavior on the performance of micro-businesses in Sikka Regency, Indonesia, in light of the persistent challenges faced by micro-business operators, including limited financial knowledge, restricted access to financial services and poor financial management practices. The research objective is to examine the relationships among these financial factors and their influence on micro-business performance, introducing financial behavior as a moderating variable to provide deeper insights into its role. The study employs a quantitative research approach, utilizing a survey method with a structured questionnaire. The sample was determined using the Slovin formula with a 5% margin of error, resulting in a final sample size of 346 micro businesses drawn from a population of 2,536 micro businesses through five cooperatives. The results indicate that financial literacy has a significant positive effect on micro business performance, financial inclusion significantly enhances micro business performance, financial behavior plays a crucial role in improving micro business performance, financial literacy positively influences financial inclusion, financial inclusion mediates the relationship between financial literacy and micro business performance, and financial behavior moderates the relationship between financial literacy and micro business performance. This study contributes to the literature by confirming the necessity for integrated financial literacy and behavior training programs to enhance the sustainability of micro businesses.
This study investigates the impact of financial literacy, financial inclusion, and financial behavior on the performance of micro-businesses in Sikka Regency, Indonesia, in light of the persistent challenges faced by micro-business operators, including limited financial knowledge, restricted access to financial services and poor financial management practices. The research objective is to examine the relationships among these financial factors and their influence on micro-business performance, introducing financial behavior as a moderating variable to provide deeper insights into its role. The study employs a quantitative research approach, utilizing a survey method with a structured questionnaire. The sample was determined using the Slovin formula with a 5% margin of error, resulting in a final sample size of 346 micro businesses drawn from a population of 2,536 micro businesses through five cooperatives. The results indicate that financial literacy has a significant positive effect on micro business performance, financial inclusion significantly enhances micro business performance, financial behavior plays a crucial role in improving micro business performance, financial literacy positively influences financial inclusion, financial inclusion mediates the relationship between financial literacy and micro business performance, and financial behavior moderates the relationship between financial literacy and micro business performance. This study contributes to the literature by confirming the necessity for integrated financial literacy and behavior training programs to enhance the sustainability of micro businesses.
The study aimed at evaluating financial record keeping on financial performance of SMEs in Kinigi Sector. The study was guided by three specific objectives. A descriptive design with a population of 447 and sample size of 211 SMEs was adopted. The study has a pilot study which have been carried and shown a reliable type of instrument which was used to collect information relating to the research objectives. The results of objective one has a low mean showing that there is little or simply insufficiency in ensuring that transactions of the business are not updated accordingly to reflect the activities done in the business. Results of objective two and three as well show a low level suggesting a very low attempt in ensuring record keeping updates and accuracy and it has been seen that it affects the SMEs financial performance. The study studied the relationship by Pearson correlation which have shown a perfect relationship on self-sub variables in the study but also showing a medium significance between financial record updates, record storage, record accuracy and financial performance. The study concluded reminding positive relationship between the study independent variable parameters of financial record keeping together with the dependent variable for selected small scale and medium enterprises in Kinigi Sector; this have shown that a change in the practices of record keeping affect the financial performance of small scale and medium enterprises in Kinigi Sector. The study has made recommendations in relation to the objectives where small and medium enterprises have been recommended to carry out the financial record keeping to ensure that there is proper performance and as well the government policy makers to enhance the courage of record keeping to encourage financial performance in Kinigi Sector.
Changes in individual activities lead to changes in behavior. In particular, adolescents experience changes in learning and teaching activities, resulting in a gap between the amount of time available and the lack of activities that adolescents can do. It becomes a momentum for adolescents to create new activities, one of which is investing in the capital market. The relationship between emotional intelligence and adolescents’ intention to become investors, as well as the moderating effect of financial literacy in the relationship. These values indicate that the model is suitable enough to explain about 42.8%-52.6% of changes in the relationships tested. Emotional intelligence has a positive effect on adolescents’ intention to become investors, and financial literacy is able to strengthen this influence. This study contributes to a greater understanding of the importance of emotional intelligence and financial literacy when adolescents have the intention to become investors, especially when capital market uncertainty increases. As capital market uncertainty increases, adolescents should be able to assimilate emotional intelligence with their financial literacy to obtain greater returns. It may encourage adolescents to keep choosing their career as an investor. These results have significant theoretical contributions and provide recommendations for industry and policymaker. This can encourage teens to still choose their careers as investors. These results have significant theoretical contributions and provide recommendations for industry and policymakers.
The purpose of the study is to prove that social media has an effect on the behavior of millennial investors mediated by financial risk tolerance. The data collected through the questionnaire was processed and tested for the validity and reliability of the construct. This study uses Structure Equational Modelling (SEM) and passes the criteria for model fit and quality indices to determine the strength of the structural model of the study before testing the hypothesis. This study found that social media and financial risk tolerance variables directly affect investor behavior, social media affects financial risk tolerance and is able to mediate social media relations with investor behavior. The mediating effect of risk tolerance is very strong on social media relations as a provider of market information with investor’s stock trading behavior, both buying and selling. This study also found that investors tend to make biased decisions when faced with bear market conditions, namely showing overreaction behavior.
The purpose of the study is aimed at determining the financial socialisation of accounting students at South African universities and the factors that influence financial socialisation. The research used statistical techniques such as the structural equation modelling methodology to identify financial socialisation influencers and regression analysis to analyse associations between financial socialisation and socio-demographic variables among 1582 students. The study's results indicate that financial socialisation agents such as relatives, friends, and social media have little impact on most students' financial decisions. The majority of accounting students are often found to be financially socialised by their immediate family members rather than peers or social media factors. The regression analysis results confirmed this observation, revealing a statistically significant association between the parents' level of education and the students' financial socialisation. This study recommends that financial socialisation can be greatly improved by raising parents' educational levels and instilling financial education in university students' curricula, especially in South Africa.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |