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: 2 / 2 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 2 / 2 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): 2026-10-21T07:22:59.996151+00:00 — 2026-10-21T07:23:05.115658+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 | 1 |
| 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 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.
Small and Medium Enterprises (SMEs) are central to the Zambia’s economy, but often struggle with sustained profitability. This study examined the influence of entrepreneurial characteristics on SME profitability in Zambia. Specifically, the study aimed at; (i) identifying the key influential entrepreneurial characteristic and (ii) analysing the relationships between entrepreneurial characteristics and SME profitability. Entrepreneurial characteristics examined included; innovativeness, risk-taking, autonomy, confidence/negotiation skills, readiness, need for achievement, experience and education. Data were collected from 201 SMEs registered with the Patents and Companies Registration Agency (PACRA) across seven urban canters through structured questionnaires administered in face-to-face approach. A systematic random sampling technique was used to select respondents. Factor analysis, Pearson correlation, and chi-square tests were used to analyse the data. Findings revealed that entrepreneurial characteristics significantly influence SME profitability, with autonomy emerging as the most influential characteristic. However, correlation analysis indicated that autonomy and other characteristics including; education, experience, innovativeness, readiness, confidence, need for achievement, and risk-taking do not have a significant direct linear relationship, implying that their influence is contingent on contextual factors like finance, regulations, and markets. The study concludes that entrepreneurial characteristics alone are insufficient for profitability; instead, their influence depends on their alignment with environmental opportunities, offering insights for policy, training, and SME support interventions. Therefore, policy and practice should move beyond narrow emphasis on formal education or abstract entrepreneurial characteristics. Interventions should promote adaptive leadership, decision-making under uncertainty, and resource mobilisation that promote autonomous behaviour.
This purely qualitative study is about the perceptions of growth for Wood Processing SMEs at Lusaka’s Buseko and Mandevu-Chaisa markets. The first objective was to highlight factors that can contribute to the growth of wood processing SMEs at Buseko and Mandevu-Chaisa markets to grow into viable commercial ventures. The second objective was to ascertain the challenges SMEs in the wood processing industry were facing. The third objective was to explore the strategies that can be implemented by the wood processing SMEs to ensure profitability and growth of wood processing business ventures. An interpretivism paradigm was adopted targeting a sample size of 20 SMEs that were identified using a snowball sampling method from a population 82 SMEs. The information was collected using semi structured interview guides and analysed using an inductive thematic approach. The findings revealed that there was available market for wood products and there was evidence of some SMEs in wood processing at the two markets growing into commercial ventures. Lack of specialized commercial equipment, lack of government support towards SMEs in wood processing and lack of formal training in wood processing were identified as challenges. Access to commercial equipment, taking wood processing industry as a quick method of employment creation and marketing wood products were identified as strategies that can be implemented to ensure profitability and growth of wood processing SMEs. The study recommended access to commercial equipment through cooperative loans and promoting training of more youths in carpentry and joinery in order to alleviate employment shortage.
Small and Medium Enterprises (SMEs) are central to the Zambia’s economy, but often struggle with sustained profitability. This study examined the influence of entrepreneurial characteristics on SME profitability in Zambia. Specifically, the study aimed at; (i) identifying the key influential entrepreneurial characteristic and (ii) analysing the relationships between entrepreneurial characteristics and SME profitability. Entrepreneurial characteristics examined included; innovativeness, risk-taking, autonomy, confidence/negotiation skills, readiness, need for achievement, experience and education. Data were collected from 201 SMEs registered with the Patents and Companies Registration Agency (PACRA) across seven urban canters through structured questionnaires administered in face-to-face approach. A systematic random sampling technique was used to select respondents. Factor analysis, Pearson correlation, and chi-square tests were used to analyse the data. Findings revealed that entrepreneurial characteristics significantly influence SME profitability, with autonomy emerging as the most influential characteristic. However, correlation analysis indicated that autonomy and other characteristics including; education, experience, innovativeness, readiness, confidence, need for achievement, and risk-taking do not have a significant direct linear relationship, implying that their influence is contingent on contextual factors like finance, regulations, and markets. The study concludes that entrepreneurial characteristics alone are insufficient for profitability; instead, their influence depends on their alignment with environmental opportunities, offering insights for policy, training, and SME support interventions. Therefore, policy and practice should move beyond narrow emphasis on formal education or abstract entrepreneurial characteristics. Interventions should promote adaptive leadership, decision-making under uncertainty, and resource mobilisation that promote autonomous behaviour.
This purely qualitative study is about the perceptions of growth for Wood Processing SMEs at Lusaka’s Buseko and Mandevu-Chaisa markets. The first objective was to highlight factors that can contribute to the growth of wood processing SMEs at Buseko and Mandevu-Chaisa markets to grow into viable commercial ventures. The second objective was to ascertain the challenges SMEs in the wood processing industry were facing. The third objective was to explore the strategies that can be implemented by the wood processing SMEs to ensure profitability and growth of wood processing business ventures. An interpretivism paradigm was adopted targeting a sample size of 20 SMEs that were identified using a snowball sampling method from a population 82 SMEs. The information was collected using semi structured interview guides and analysed using an inductive thematic approach. The findings revealed that there was available market for wood products and there was evidence of some SMEs in wood processing at the two markets growing into commercial ventures. Lack of specialized commercial equipment, lack of government support towards SMEs in wood processing and lack of formal training in wood processing were identified as challenges. Access to commercial equipment, taking wood processing industry as a quick method of employment creation and marketing wood products were identified as strategies that can be implemented to ensure profitability and growth of wood processing SMEs. The study recommended access to commercial equipment through cooperative loans and promoting training of more youths in carpentry and joinery in order to alleviate employment shortage.
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 |