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% · 4/4 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS14/4 with known counts
OPENALEX CITATIONS24/4 with known counts
OPENALEX MEAN0.5Per article with a known count
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topic: Firm Innovation and Growth 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.

View data & coverage

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

University of South Africa1University of Siegen1Botswana International University of Science and Technology13/4 records with data

Countries

South Africa2Botswana1Germany13/4 records with data

Primary topics

Firm Innovation and Growth44/4 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.

View data & coverage

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: 4/4 articles. Latest history observation: 2026-10-21T07:23:03.253189+00:00. Source totals are never added together.
Research side by side

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

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
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
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS1
CROSSREF · CITED PUBLICATIONS25.0%
CROSSREF · MEAN CITATIONS0.25

Crossref citation coverage: 4 / 4 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 CITATIONS2
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY0.54 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0.5

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 citations21–526–20021+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

3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.

Countries

3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 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.

OpenAlex · Citations received by year

10.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications044/4
2019All selected publications044/4
2020All selected publications044/4
2021All selected publications044/4
2022All selected publications044/4
2023All selected publications044/4
2024All selected publications044/4
2025All selected publications044/4
2026All selected publications144/4

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 ↗

Crossref citation distribution

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

Mean0.25
Median0.0
No citations31–516–20021+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
2002/20.00.00.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
2122/20.50.550.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Determining relationship between business size, turnover and  longevity among South African Small-to-Medium Enterprises

Sphesishle Ndlela · Muhammad Hoque

International Journal of Research in Business and Social Science · 2025

Read abstract

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.

DOI 10.20525/ijrbs.v14i7.42681 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Determinants and Effects of Innovation on the Firm Level

Muzaffer Erturk

International Journal of Research in Business and Social Science · 2014

Read abstract

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.

DOI 10.20525/ijrbs.v3i1.900 Crossref citations1 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
JOURNAL ARTICLE

Determinants of the primary impediments to SME performance in the South African business environment

Aman Mdewa Nthangu · Pumela Msweli

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

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.

DOI 10.36096/ijbes.v7i5.9400 Crossref citations0 OpenAlex citations

Selected results

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
JOURNAL ARTICLE

Determinants of the primary impediments to SME performance in the South African business environment

Aman Mdewa Nthangu · Pumela Msweli

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

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.

DOI 10.36096/ijbes.v7i5.9400 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Determining relationship between business size, turnover and  longevity among South African Small-to-Medium Enterprises

Sphesishle Ndlela · Muhammad Hoque

International Journal of Research in Business and Social Science · 2025

Read abstract

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.

DOI 10.20525/ijrbs.v14i7.42681 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Determinants and Effects of Innovation on the Firm Level

Muzaffer Erturk

International Journal of Research in Business and Social Science · 2014

Read abstract

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.

DOI 10.20525/ijrbs.v3i1.900 Crossref citations1 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
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