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 00:14 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 / 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | 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 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): 2026-10-21T00:14:32.876208+00:00 — 2026-10-21T07:23:03.253189+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 | 1 | 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 |
|---|---|
| 2014 | 1 |
| 2025 | 2 |
| 2026 | 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 Business Ecosystem & Strategy Bussecon International Academy | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 1 | 2 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Small to Medium Enterprises (SMEs) are a key part of socio-economic development in South Africa by providing employment, generating incomes, and alleviating poverty. Despite their significance, South African SMEs continue to register high failure rates, low growth rates, and short lifespan, particularly in unstable industries. Existing research has consistently cantered on the determinants of firm performance but has been remiss in considering the combined effect of firm size, financial turnover, and performance on lifespan in SMEs—specifically in diversified industrial settings. Bridging the research gap in extant research, the present research considered the interrelationship between the aforementioned variables in the best-performing and poorest-performing industries in South Africa, Manufacturing and Construction industries. The study used a correlational research design and collected data from 204 SMEs using structured questionnaires to gauge the number of employees, turnover per year, and operation period in years. Pearson correlation analysis established that in the Manufacturing industry, longevity was weakly and significantly interrelated with turnover and size but in the Construction industry was weak or statistically non-significant. Contrastingingly, when both industries were combined together, weak but statistically significant interrelationship was established between longevity and both turnover and size, but a strongly positive interrelationship was established between turnover and size. The results conclude that firm size and financial performance are key drivers of the lifespan of SMEs, especially in more stable industries.
In highly competitive market conditions, it is vital to innovate for the firms in order to survive. The profitability, market share, consumer satisfaction and global competitiveness of the firms mainly depend on their competency of the production of the successful innovations providing for the firm competitive advantage. In this context, main aim of the study is to investigate the effects and determinants of the innovations in the firm level by considering a firm operating in white goods sector in Turkey. Main result of the study is that innovations have important effects on performance indicator of the firm. For this reason, firms have to focus on the production of the innovations providing sustainable competitiveness and profitability by implementing appropriate policies.
Small and Medium Enterprises (SMEs) are crucial to Zambia’s economic growth but continue to face challenges in sustaining profitability. This study examined the effect of firm characteristics on SME profitability, aiming to (i) identify the most influential characteristic and (ii) analyse their relationships with profitability. The characteristics assessed included firm size, firm age, debt finance, liquidity, and sales growth. Data were collected from 270 SMEs registered with the Patents and Companies Registration Agency (PACRA) across seven urban centres: Livingstone, Lusaka, Kabwe, Ndola, Kitwe, Chingola, and Chililabombwe, using structured, face-to-face questionnaires. Systematic random sampling was employed, and data were analysed using factor analysis, Pearson correlation, regression, and Chi-square tests. Results showed that firm characteristics collectively have a significant effect on SME profitability, though individual relationships were weak and statistically insignificant. Among the characteristics, sales growth had the strongest influence. However, regression results (R² = 0.002, F = 0.237, p = 0.790) indicated very weak predictive power, suggesting that firm characteristics explain only 0.2% of profitability variance. This implies that SME profitability in Zambia is influenced by the combined interaction of factors rather than individual characteristics. The study contributes new insights by identifying sales growth as the most influential factor, highlighting that sales growth drives SME profitability even in resource-constrained contexts like Zambia. Policymakers should prioritise integrated strategies that foster sales growth through innovation, market diversification, and digital marketing, while enhancing liquidity through accessible, low-interest financing. Financial policy reforms should prioritize accessible, low-interest financing mechanisms that enhance liquidity and sustainable debt utilisation.
This study examines the most significant challenges facing Small and Medium Enterprises (SMEs) in South Africa, drawing on firm-level data from the 2022 World Bank Enterprise Survey. Using probit regression analysis, it explores how firm size, sector, geographic location, and female ownership influence the severity of perceived business constraints—namely, access to finance, infrastructure, regulation, workforce skills, crime, and the informal sector. The results indicate that sectoral differences are the strongest predictors of obstacle severity. Due to their capital and logistics needs, sectors such as Fabricated Metal Products, Construction, and Retail face heightened financial and transport challenges. Regionally, firms outside Gauteng, KwaZulu-Natal, and the Western Cape report more severe infrastructure issues, particularly electricity, while those within these provinces face greater skills shortages. Medium-sized firms generally report fewer constraints than smaller firms. Female ownership is not a consistent determinant of obstacle severity; however, firms without female ownership perceive corruption and crime as slightly less severe. These findings underscore the need for targeted, sector- and region-specific policy responses, particularly in enhancing financial access for capital-intensive industries and addressing regional disparities in infrastructure and workforce development.
Small and Medium Enterprises (SMEs) are crucial to Zambia’s economic growth but continue to face challenges in sustaining profitability. This study examined the effect of firm characteristics on SME profitability, aiming to (i) identify the most influential characteristic and (ii) analyse their relationships with profitability. The characteristics assessed included firm size, firm age, debt finance, liquidity, and sales growth. Data were collected from 270 SMEs registered with the Patents and Companies Registration Agency (PACRA) across seven urban centres: Livingstone, Lusaka, Kabwe, Ndola, Kitwe, Chingola, and Chililabombwe, using structured, face-to-face questionnaires. Systematic random sampling was employed, and data were analysed using factor analysis, Pearson correlation, regression, and Chi-square tests. Results showed that firm characteristics collectively have a significant effect on SME profitability, though individual relationships were weak and statistically insignificant. Among the characteristics, sales growth had the strongest influence. However, regression results (R² = 0.002, F = 0.237, p = 0.790) indicated very weak predictive power, suggesting that firm characteristics explain only 0.2% of profitability variance. This implies that SME profitability in Zambia is influenced by the combined interaction of factors rather than individual characteristics. The study contributes new insights by identifying sales growth as the most influential factor, highlighting that sales growth drives SME profitability even in resource-constrained contexts like Zambia. Policymakers should prioritise integrated strategies that foster sales growth through innovation, market diversification, and digital marketing, while enhancing liquidity through accessible, low-interest financing. Financial policy reforms should prioritize accessible, low-interest financing mechanisms that enhance liquidity and sustainable debt utilisation.
This study examines the most significant challenges facing Small and Medium Enterprises (SMEs) in South Africa, drawing on firm-level data from the 2022 World Bank Enterprise Survey. Using probit regression analysis, it explores how firm size, sector, geographic location, and female ownership influence the severity of perceived business constraints—namely, access to finance, infrastructure, regulation, workforce skills, crime, and the informal sector. The results indicate that sectoral differences are the strongest predictors of obstacle severity. Due to their capital and logistics needs, sectors such as Fabricated Metal Products, Construction, and Retail face heightened financial and transport challenges. Regionally, firms outside Gauteng, KwaZulu-Natal, and the Western Cape report more severe infrastructure issues, particularly electricity, while those within these provinces face greater skills shortages. Medium-sized firms generally report fewer constraints than smaller firms. Female ownership is not a consistent determinant of obstacle severity; however, firms without female ownership perceive corruption and crime as slightly less severe. These findings underscore the need for targeted, sector- and region-specific policy responses, particularly in enhancing financial access for capital-intensive industries and addressing regional disparities in infrastructure and workforce development.
Small to Medium Enterprises (SMEs) are a key part of socio-economic development in South Africa by providing employment, generating incomes, and alleviating poverty. Despite their significance, South African SMEs continue to register high failure rates, low growth rates, and short lifespan, particularly in unstable industries. Existing research has consistently cantered on the determinants of firm performance but has been remiss in considering the combined effect of firm size, financial turnover, and performance on lifespan in SMEs—specifically in diversified industrial settings. Bridging the research gap in extant research, the present research considered the interrelationship between the aforementioned variables in the best-performing and poorest-performing industries in South Africa, Manufacturing and Construction industries. The study used a correlational research design and collected data from 204 SMEs using structured questionnaires to gauge the number of employees, turnover per year, and operation period in years. Pearson correlation analysis established that in the Manufacturing industry, longevity was weakly and significantly interrelated with turnover and size but in the Construction industry was weak or statistically non-significant. Contrastingingly, when both industries were combined together, weak but statistically significant interrelationship was established between longevity and both turnover and size, but a strongly positive interrelationship was established between turnover and size. The results conclude that firm size and financial performance are key drivers of the lifespan of SMEs, especially in more stable industries.
In highly competitive market conditions, it is vital to innovate for the firms in order to survive. The profitability, market share, consumer satisfaction and global competitiveness of the firms mainly depend on their competency of the production of the successful innovations providing for the firm competitive advantage. In this context, main aim of the study is to investigate the effects and determinants of the innovations in the firm level by considering a firm operating in white goods sector in Turkey. Main result of the study is that innovations have important effects on performance indicator of the firm. For this reason, firms have to focus on the production of the innovations providing sustainable competitiveness and profitability by implementing appropriate policies.
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 |