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: 5 / 5 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 — 21 Oct 2026 07:23 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
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 5 / 5 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): 2026-10-21T07:23:00.687752+00:00 — 2026-10-21T07:23:03.235162+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 0 | 5 | 5/5 |
| 2025 | All selected publications | 0 | 5 | 5/5 |
| 2026 | All selected publications | 2 | 5 | 5/5 |
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 |
|---|---|
| 2025 | 5 |
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 Research in Business and Social Science SSBFNET | 5 | 2 | 2 | 5/5 | 0.4 | 0 | 40.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
The study investigates the relationship between financial literacy and savings among individuals in South Africa, utilising data from the National Income Dynamics Study. The theoretical framework highlights the importance of financial literacy, encompassing knowledge, behaviour, and attitudes towards financial planning. Empirical analysis using OLS, Logit, Probit, and Tobit models reveals a positive correlation between financial literacy and savings. Higher financial literacy levels are associated with increased savings propensity, with significant coefficients observed across various models. The findings underscore the critical role of financial education in enhancing savings behaviour, suggesting that improved financial literacy can lead to better financial outcomes and contribute to economic growth. The study’s results have policy implications, advocating for targeted financial literacy programmes to boost savings rates and support economic development in South Africa.
Recent evidence indicates that citizens exhibit low involvement in financial activities within formal financial institutions. Therefore, this study explores how Digital Financial Literacy (DFL) influences savings in formal financial institutions. Using data from the Global Findex Database 2021 and the Standard & Poor’s Global FinLit Survey 2014, covering 135 countries, the study applies multiple regression analysis to assess how DFL predicts savings in formal financial institutions, while controlling for various country-level factors. The results show that among the three dimensions of digital financial literacy, financial skills and behaviors positively affect savings. In contrast, financial attitudes like trust in financial institutions and confidence in managing financial matters negatively affect savings behavior. Overall, financial literacy explains 78.8% of the variation in savings at the formal financial institutions across countries, with cross-validation supporting the robustness of the findings. This study contributes to existing literature by integrating several digital and segmented dimensions of financial literacy and enhancing external validity by including a broad range of countries for cross-country generalization in financial inclusion research.
The study examined financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior. The study applied a cross-sectional survey strategy, positivist paradigm and deductive approach. The study collected quantitative data through questionnaire from government employees working in different ministries within Dodoma region in Tanzania. The study examined whether the moderator moderates the relationship between independent variables (computation capability, financial knowledge, financial education and risk attitude towards financial products) and dependent variable (retirement planning). Data analysis was through Smart PLS-SEM path modelling. The study findings were that financial decision behavior had statistically significant positive moderating effect (p=0.013) on retirement planning. Moderating effect of financial decision behavior on the relationship between risk altitude towards financial products and retirement planning found to be a theoretical contribution of this study as it supports behavioral finance advocates who asserts that the theory of expected utility is an incomplete model since it lacks individual behavioral aspects. This study has incorporating a moderating variable financial decision behavior borrowed from the theory of planned behavior, which has indicated a significant moderating effect that has widened the explanatory power of the theory. This study offers pertinent insights for policy makers concerns on reviewing policy guidelines by government regulators and professional bodies, to advocate for employee’s savings and investment behavior, employees access to a range of financial products, regular training on financial products available in the financial market for better investment decision. Lastly, practitioners and academia can use the results of this study for future references.
This study provides an empirical assessment of financial prudence among South African individuals, focusing on savings and investment behaviour. Prior research highlights a positive correlation between national savings rates and economic growth, with countries exhibiting high saving rates often experiencing stronger economic prosperity. However, as of 2023, South Africa's gross saving rate remains around 17%, ranking the lowest among BRICS nations. In contrast, countries like China and India boast saving rates above 40% and 30% respectively, underscoring South Africa's persistent challenge in fostering a robust savings culture. Despite various initiatives aimed at increasing the national savings rate, these efforts have yet to yield significant improvements. This research explores whether financial prudence characterised by conservative spending and careful planning in the face of future income uncertainty—could contribute to higher personal savings rates. To investigate this, an experimental design was employed where participants were presented with a hypothetical lottery payout scenario to gauge their prudence and its effect on saving behaviour. Analysis of the data indicated that while individuals generally displayed a lack of prudence, prudence itself has a notable influence on savings. Based on these findings, the study recommends that financial products and services in South Africa be designed to be affordable, accessible, and suited to the needs of the population. Additionally, it advocates for government investment in small businesses, job creation, and efforts to attract foreign investment to support a more robust savings culture.
This paper examines the financial behaviors of university students in Bangladesh, including gender and academic level. The study, involving a sample size of 416 students, was done at the University of Dhaka using a standardized questionnaire to collect data on financial behaviors, including monthly expenditures, saving habits, and financial decision-making techniques. One-way ANOVA and independent samples t-tests indicated significant gender disparities; male students showed greater spending habits, whilst female students displayed a stronger propensity for savings. Academic levels influenced spending behaviors; first-year students had distinct financial patterns compared to seniors, however, savings habits were rather consistent across groups. The findings emphasize the necessity of encouraging structured saving strategies and financial awareness among university students. Identifying substantial demographic and behavioral insights in this study aids legislators and financial institutions in improving customized financial planning strategies for students. The research highlights the potential for future studies to incorporate private colleges and investigate the impact of socioeconomic issues and digital payment systems on student financial conduct that may mold Bangladesh's orderly and economical student demographic.
The study examined financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior. The study applied a cross-sectional survey strategy, positivist paradigm and deductive approach. The study collected quantitative data through questionnaire from government employees working in different ministries within Dodoma region in Tanzania. The study examined whether the moderator moderates the relationship between independent variables (computation capability, financial knowledge, financial education and risk attitude towards financial products) and dependent variable (retirement planning). Data analysis was through Smart PLS-SEM path modelling. The study findings were that financial decision behavior had statistically significant positive moderating effect (p=0.013) on retirement planning. Moderating effect of financial decision behavior on the relationship between risk altitude towards financial products and retirement planning found to be a theoretical contribution of this study as it supports behavioral finance advocates who asserts that the theory of expected utility is an incomplete model since it lacks individual behavioral aspects. This study has incorporating a moderating variable financial decision behavior borrowed from the theory of planned behavior, which has indicated a significant moderating effect that has widened the explanatory power of the theory. This study offers pertinent insights for policy makers concerns on reviewing policy guidelines by government regulators and professional bodies, to advocate for employee’s savings and investment behavior, employees access to a range of financial products, regular training on financial products available in the financial market for better investment decision. Lastly, practitioners and academia can use the results of this study for future references.
The study investigates the relationship between financial literacy and savings among individuals in South Africa, utilising data from the National Income Dynamics Study. The theoretical framework highlights the importance of financial literacy, encompassing knowledge, behaviour, and attitudes towards financial planning. Empirical analysis using OLS, Logit, Probit, and Tobit models reveals a positive correlation between financial literacy and savings. Higher financial literacy levels are associated with increased savings propensity, with significant coefficients observed across various models. The findings underscore the critical role of financial education in enhancing savings behaviour, suggesting that improved financial literacy can lead to better financial outcomes and contribute to economic growth. The study’s results have policy implications, advocating for targeted financial literacy programmes to boost savings rates and support economic development in South Africa.
Recent evidence indicates that citizens exhibit low involvement in financial activities within formal financial institutions. Therefore, this study explores how Digital Financial Literacy (DFL) influences savings in formal financial institutions. Using data from the Global Findex Database 2021 and the Standard & Poor’s Global FinLit Survey 2014, covering 135 countries, the study applies multiple regression analysis to assess how DFL predicts savings in formal financial institutions, while controlling for various country-level factors. The results show that among the three dimensions of digital financial literacy, financial skills and behaviors positively affect savings. In contrast, financial attitudes like trust in financial institutions and confidence in managing financial matters negatively affect savings behavior. Overall, financial literacy explains 78.8% of the variation in savings at the formal financial institutions across countries, with cross-validation supporting the robustness of the findings. This study contributes to existing literature by integrating several digital and segmented dimensions of financial literacy and enhancing external validity by including a broad range of countries for cross-country generalization in financial inclusion research.
This study provides an empirical assessment of financial prudence among South African individuals, focusing on savings and investment behaviour. Prior research highlights a positive correlation between national savings rates and economic growth, with countries exhibiting high saving rates often experiencing stronger economic prosperity. However, as of 2023, South Africa's gross saving rate remains around 17%, ranking the lowest among BRICS nations. In contrast, countries like China and India boast saving rates above 40% and 30% respectively, underscoring South Africa's persistent challenge in fostering a robust savings culture. Despite various initiatives aimed at increasing the national savings rate, these efforts have yet to yield significant improvements. This research explores whether financial prudence characterised by conservative spending and careful planning in the face of future income uncertainty—could contribute to higher personal savings rates. To investigate this, an experimental design was employed where participants were presented with a hypothetical lottery payout scenario to gauge their prudence and its effect on saving behaviour. Analysis of the data indicated that while individuals generally displayed a lack of prudence, prudence itself has a notable influence on savings. Based on these findings, the study recommends that financial products and services in South Africa be designed to be affordable, accessible, and suited to the needs of the population. Additionally, it advocates for government investment in small businesses, job creation, and efforts to attract foreign investment to support a more robust savings culture.
This paper examines the financial behaviors of university students in Bangladesh, including gender and academic level. The study, involving a sample size of 416 students, was done at the University of Dhaka using a standardized questionnaire to collect data on financial behaviors, including monthly expenditures, saving habits, and financial decision-making techniques. One-way ANOVA and independent samples t-tests indicated significant gender disparities; male students showed greater spending habits, whilst female students displayed a stronger propensity for savings. Academic levels influenced spending behaviors; first-year students had distinct financial patterns compared to seniors, however, savings habits were rather consistent across groups. The findings emphasize the necessity of encouraging structured saving strategies and financial awareness among university students. Identifying substantial demographic and behavioral insights in this study aids legislators and financial institutions in improving customized financial planning strategies for students. The research highlights the potential for future studies to incorporate private colleges and investigate the impact of socioeconomic issues and digital payment systems on student financial conduct that may mold Bangladesh's orderly and economical student demographic.
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 |