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 — 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.
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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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): 2026-10-21T07:22:57.116646+00:00 — 2026-10-21T07:23:04.590554+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 | 0 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 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 |
|---|---|
| 2024 | 2 |
| 2025 | 1 |
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 | 3 | 2 | 2 | 3/3 | 0.67 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The contributions of entrepreneurs to wellbeing have been recognised in both industrialised and non-industrialised nations for engaging in solving socio-economic issues. In both economies, financial knowledge seems to be a significant instrument for assisting entrepreneurs, especially women, and other latent entrepreneurs to attain access to finance and reinforce money management skills. However, there is a lack of commitment to understand challenges affecting women’s economic activities. The purpose of this paper is to analyse the impact of financial knowledge on the economic empowerment of women entrepreneurs in KwaZulu-Natal, South Africa. This study utilised a quantitative research design rooted in positivism philosophy. The study focused on surveying 500 women entrepreneurs including refugees and migrants, ultimately receiving responses from 400 participants. Respondents were selected using convenience quota sampling technique who are operating in the Durban Metropolitan areas. A Likert Scale model has been used in the quantitative questions and respondents had to select answers to the close-ended questions. With the help of 10% of the participants who served as pilot respondents and research professionals in the area of entrepreneurship, the instrument was updated and modified. Statistical Package for the Social Sciences (SPSS) version 26.0 was used to cross-check, clean, code, and analyze data collected from the target population. The findings show that entrepreneurial activities empower women economically, poor business skills such as insufficient financial literacy skills, access to finance, education and training hinder their economic development. Recognising the valuable contribution of women entrepreneurs to socioeconomic growth, it is essential to implement policies that promote financial literacy among female business owners. This contributes to the sustainability of women-led small and medium-sized enterprises, enhances their empowerment, and promotes economic growth.
This study examines the relationship between financial sustainability and the financial well-being of SME owners in Durban, South Africa. Utilising a quantitative research design, data were gathered through close-ended surveys from a diverse cross-section of SME owners, employing a cross-sectional approach.The study adopted a positivist philosophical framework, emphasising quantitative data analysis to derive conclusions. A total of 250 responses were collected, yielding a robust response rate of 82%. The analysis involved descriptive statistics and correlation analysis, with the correlation matrix revealing a positive, statistically significant correlation (r = 0.504, p < 0.05) between financial sustainability and financial well-being. The findings indicate that higher levels of financial sustainability are associated with greater financial well-being among SME owners, though the strength of this relationship is moderate. The regression analysis further supports this positive association, suggesting that interventions aimed at enhancing financial sustainability may significantly improve the financial well-being of SME owners. These results align with the theoretical framework of the Easterlin Paradox, which highlights the relative importance of financial stability in enhancing overall well-being. Based on these findings, several recommendations are proposed, including fostering financial literacy, enhancing access to financial resources, and promoting entrepreneurial collaboration.
In the context of rapid technological advancement and evolving financial ecosystems, this study investigates the interplay between financial literacy, digital finance, and financial behaviour among high school teachers in KwaZulu-Natal (KZN), South Africa. Structural equation modelling (SEM) approach was used to describe intricate relationships between latent constructs, namely, financial literacy, financial Behaviour and, digital finance Knowledge as well as observed variables (B7 to B22, C23 to C44, D45 to D56, demographics). Demographic variables include Gender, Age Category, Qualification Type, Teaching Duration, Financial Literacy Course and Field Employed. The model defined each construct as a linear combination of its observed variables as well as demographic variables under its measurement component, and hypothetical relationships among three latent variables under its structural component. We used Python software and machine learning code to create and estimate the model using observed data. The missing values in each observed variable were imputed with averages of the variables’ data. The tests of normality assumption for SEM were performed using histogram and q-q plots, Shapiro-Wilk test D'Agostino and Pearson's test. Most data vectors violated the normality assumption. Diagonally Weighted Least Squares (DWLS) was used for parameter estimation as a suitable method that can provide better estimation for more complex models with many parameters. This method has an additional advantage of being less sensitive to outliers. The DWLS parameter estimation results, based on p-values, suggest that financial literacy and financial behaviour have a negative association which means that lacking financial behaviour results in financial literacy. A positive association between has been identified between financial behaviour and digital finance knowledge. Financial literacy and digital finance knowledge have a weak or no relationship. Thus, having or not having digital finance knowledge does not necessarily determine the possibility of experiencing financial literacy. Furthermore, among demographic variables, the financial literacy Course is the only demographic variable that has a significant impact, and only on Financial Behaviour and Financial literacy. The rest of the variables do not significantly influence the latent constructs. This study uniquely applies SEM using the DWLS estimator to explore personal finance dynamics in an emerging economy, offering concise insights into key relationships.
In the context of rapid technological advancement and evolving financial ecosystems, this study investigates the interplay between financial literacy, digital finance, and financial behaviour among high school teachers in KwaZulu-Natal (KZN), South Africa. Structural equation modelling (SEM) approach was used to describe intricate relationships between latent constructs, namely, financial literacy, financial Behaviour and, digital finance Knowledge as well as observed variables (B7 to B22, C23 to C44, D45 to D56, demographics). Demographic variables include Gender, Age Category, Qualification Type, Teaching Duration, Financial Literacy Course and Field Employed. The model defined each construct as a linear combination of its observed variables as well as demographic variables under its measurement component, and hypothetical relationships among three latent variables under its structural component. We used Python software and machine learning code to create and estimate the model using observed data. The missing values in each observed variable were imputed with averages of the variables’ data. The tests of normality assumption for SEM were performed using histogram and q-q plots, Shapiro-Wilk test D'Agostino and Pearson's test. Most data vectors violated the normality assumption. Diagonally Weighted Least Squares (DWLS) was used for parameter estimation as a suitable method that can provide better estimation for more complex models with many parameters. This method has an additional advantage of being less sensitive to outliers. The DWLS parameter estimation results, based on p-values, suggest that financial literacy and financial behaviour have a negative association which means that lacking financial behaviour results in financial literacy. A positive association between has been identified between financial behaviour and digital finance knowledge. Financial literacy and digital finance knowledge have a weak or no relationship. Thus, having or not having digital finance knowledge does not necessarily determine the possibility of experiencing financial literacy. Furthermore, among demographic variables, the financial literacy Course is the only demographic variable that has a significant impact, and only on Financial Behaviour and Financial literacy. The rest of the variables do not significantly influence the latent constructs. This study uniquely applies SEM using the DWLS estimator to explore personal finance dynamics in an emerging economy, offering concise insights into key relationships.
The contributions of entrepreneurs to wellbeing have been recognised in both industrialised and non-industrialised nations for engaging in solving socio-economic issues. In both economies, financial knowledge seems to be a significant instrument for assisting entrepreneurs, especially women, and other latent entrepreneurs to attain access to finance and reinforce money management skills. However, there is a lack of commitment to understand challenges affecting women’s economic activities. The purpose of this paper is to analyse the impact of financial knowledge on the economic empowerment of women entrepreneurs in KwaZulu-Natal, South Africa. This study utilised a quantitative research design rooted in positivism philosophy. The study focused on surveying 500 women entrepreneurs including refugees and migrants, ultimately receiving responses from 400 participants. Respondents were selected using convenience quota sampling technique who are operating in the Durban Metropolitan areas. A Likert Scale model has been used in the quantitative questions and respondents had to select answers to the close-ended questions. With the help of 10% of the participants who served as pilot respondents and research professionals in the area of entrepreneurship, the instrument was updated and modified. Statistical Package for the Social Sciences (SPSS) version 26.0 was used to cross-check, clean, code, and analyze data collected from the target population. The findings show that entrepreneurial activities empower women economically, poor business skills such as insufficient financial literacy skills, access to finance, education and training hinder their economic development. Recognising the valuable contribution of women entrepreneurs to socioeconomic growth, it is essential to implement policies that promote financial literacy among female business owners. This contributes to the sustainability of women-led small and medium-sized enterprises, enhances their empowerment, and promotes economic growth.
This study examines the relationship between financial sustainability and the financial well-being of SME owners in Durban, South Africa. Utilising a quantitative research design, data were gathered through close-ended surveys from a diverse cross-section of SME owners, employing a cross-sectional approach.The study adopted a positivist philosophical framework, emphasising quantitative data analysis to derive conclusions. A total of 250 responses were collected, yielding a robust response rate of 82%. The analysis involved descriptive statistics and correlation analysis, with the correlation matrix revealing a positive, statistically significant correlation (r = 0.504, p < 0.05) between financial sustainability and financial well-being. The findings indicate that higher levels of financial sustainability are associated with greater financial well-being among SME owners, though the strength of this relationship is moderate. The regression analysis further supports this positive association, suggesting that interventions aimed at enhancing financial sustainability may significantly improve the financial well-being of SME owners. These results align with the theoretical framework of the Easterlin Paradox, which highlights the relative importance of financial stability in enhancing overall well-being. Based on these findings, several recommendations are proposed, including fostering financial literacy, enhancing access to financial resources, and promoting entrepreneurial collaboration.
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 |