CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS02/2 with known counts
OPENALEX CITATIONS02/2 with known counts
OPENALEX MEAN0.0Per article with a known count
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institution: Botswana International University of Science and Technology Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Botswana International University of Science and Technology2University of Lusaka22/2 records with data

Countries

Botswana2Zambia22/2 records with data

Primary topics

Entrepreneurship Studies and Influences1Firm Innovation and Growth12/2 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 2/2 articles. Latest history observation: 2026-10-21T07:23:05.115658+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

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Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS0
CROSSREF · CITED PUBLICATIONS0.0%
CROSSREF · MEAN CITATIONS0.0

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS0
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY0.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0.0

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 citation distributionNo citations21–506–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Citation year / OpenAlex

Citations received over time

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): 2026-10-21T00:14:33.566328+00:00 — 2026-10-21T07:23:05.115658+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications022/2
2020All selected publications022/2
2021All selected publications022/2
2022All selected publications022/2
2023All selected publications022/2
2024All selected publications022/2
2025All selected publications022/2
2026All selected publications022/2

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean0.0
Median0.0
No citations21–506–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
1001/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
1001/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

The influence of entrepreneurial characteristics on the profitability of SMEs in Zambia

Emmanuel Kabwe Zambezi · Mapeto Bomani

International Journal of Research in Business and Social Science · 2026

Read abstract

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.  

DOI 10.20525/ijrbs.v14i9.45910 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The effect of firm characteristics on the profitability of SMEs in Zambia: Evidence from urban enterprises

Emmanuel Kabwe Zambezi · Mapeto Bomani

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

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.

DOI 10.36096/ijbes.v7i6.10880 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

The influence of entrepreneurial characteristics on the profitability of SMEs in Zambia

Emmanuel Kabwe Zambezi · Mapeto Bomani

International Journal of Research in Business and Social Science · 2026

Read abstract

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.  

DOI 10.20525/ijrbs.v14i9.45910 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The effect of firm characteristics on the profitability of SMEs in Zambia: Evidence from urban enterprises

Emmanuel Kabwe Zambezi · Mapeto Bomani

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

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.

DOI 10.36096/ijbes.v7i6.10880 Crossref citations0 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →