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% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 06:30 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS13/3 with known counts
OPENALEX CITATIONS23/3 with known counts
OPENALEX MEAN0.67Per article with a known count
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topic: Working Capital and Financial Performance 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

Central University of Technology1Vaal University of Technology1Accra Technical University13/3 records with data

Countries

South Africa2Ghana13/3 records with data

Primary topics

Working Capital and Financial Performance33/3 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: 3/3 articles. Latest history observation: 2026-10-22T06:30:41.406700+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.

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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS1
CROSSREF · CITED PUBLICATIONS33.3%
CROSSREF · MEAN CITATIONS0.33

Crossref citation coverage: 3 / 3 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%3 / 3 publications
MEAN · KNOWN COUNTS ONLY0.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 06:30 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–526–20021+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 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 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): 2026-10-21T07:22:55.669681+00:00 — 2026-10-22T06:30:41.406700+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 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications133/3
2025All selected publications133/3
2026All selected publications033/3

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 ↗

Crossref citation distribution

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

Mean0.33
Median0
No citations21–516–20021+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
1001/10.000.01/1 · 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 3 →

Most cited · Crossref

JOURNAL ARTICLE

Effects of working capital management on the profitability of South African construction companies listed on the JSE

Letshaba Sejake · John Beneke · Johannes G Maseko · Bouba Ismaila

International Journal of Research in Business and Social Science · 2024

Read abstract

This study examines the correlation between inventory and accounts payable management and the profitability of construction companies listed on the Johannesburg Stock Exchange (JSE). The annual financial statements of all 13 listed construction businesses from 2009 to 2019, including statements of financial position and financial performance, were obtained from an external database for statistical analysis. The study employed multiple linear regression to assess the impact of working capital management on the financial performance of construction companies listed on the JSE. Additionally, a correlation model was utilised to investigate any potential relationships among the variables being examined. The study's findings indicate that the management of working capital has a notable impact on the profitability of construction companies listed on the Johannesburg Stock Exchange (JSE) in South Africa. Despite contradicting findings from other studies that support the opposite conclusion, this study demonstrates that effective management of working capital does not necessarily lead to a positive relationship with financial performance for financial managers of construction companies. Therefore, it is crucial to consider other aspects of management in addition to working capital.

DOI 10.20525/ijrbs.v13i4.33411 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Examining the role of financial characteristics of micro and small enterprises in accessing debt financing: evidence from Ghana

Collins Kwaning Owusu · Kwaku Opoku Ababio · Ernest Christian Winful · Evelyn Boadiwaa Bosomtwi

International Journal of Research in Business and Social Science · 2024

Read abstract

Given the critical role of financial characteristics in determining Micro and Small Enterprises (MSEs’) access to debt finance, it is essential to understand how these characteristics influence lending decisions, particularly from a developing market context. This study aims to examine the key financial characteristics that significantly influence MSEs’ ability to access debt finance. Using systematic sampling technique, we collect data from 171 Ghanaian MSEs that are registered with Ghana Enterprise Agency. The data was analyzed using SPSS linear regression version 24. The result shows financial management experience and profitability as the significant financial characteristics that influence MSEs ability to access debt finance. The result further shows that equity structure and financial statement have negative significant influence on MSEs ability to access debt finance. Asset tangibility, liquidity, debt service coverage ratio, and working capital has no significant influence on MSEs’ access to debt financing.

DOI 10.20525/ijrbs.v13i7.36800 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

3D printing firms in South Africa and their financial management practices

Edinam Agbemava · Thywill Cephas Dzogbewu · Dennis Yao Dzansi · Deon Johan De Beer

International Journal of Business Ecosystem & Strategy · 2024

Read abstract

As the 3D printing industry continues to gain momentum in South Africa's SME sector, issues about their financing and financial management need to be investigated. This is due to the capital-intensive nature of the business as well as the financing challenges encountered by 3D printing SMMEs. This study aimed to contribute to research on financial management practices and sources of finance as predictors of performance for 3D printing small and medium enterprises (SMMEs) in terms of profitability and increase in client base. The study adopted the interpretivist research paradigm, exploratory research design, inductive research approach and qualitative research method to achieve the objectives of the study. A total of twenty (20) 3D printing firms participated in the study. Employees and managers were purposefully selected to participate in the study. The participants comprised finance managers, senior managers and managers of the twenty (20) 3D printing firms that participated in the study. Structured interviews served as the instrument for data collection based on the objectives of the study. Data gathered from interviews were transcribed and analysed using thematic analysis. The study revealed that effective working capital management practices boost the profitability of 3D printing SMMEs, particularly through adopting no-credit policies and hiring competent finance officers. These practices also help expand the client base by ensuring timely delivery of products and services, with customer relationship management being a strategic approach. The study also revealed that liquidity management practices significantly boost the profitability of 3D printing firms by ensuring sufficient cash flow to meet financial obligations, managing financial risks, and ensuring timely product delivery, thereby enhancing customer satisfaction and contributing to growth in the customer base. The study recommends the need for 3D printing SMMEs to prioritise cash flow management and develop robust systems to monitor and control working capital components, including inventory, receivables, and payables.  

DOI 10.36096/ijbes.v6i5.5590 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

3D printing firms in South Africa and their financial management practices

Edinam Agbemava · Thywill Cephas Dzogbewu · Dennis Yao Dzansi · Deon Johan De Beer

International Journal of Business Ecosystem & Strategy · 2024

Read abstract

As the 3D printing industry continues to gain momentum in South Africa's SME sector, issues about their financing and financial management need to be investigated. This is due to the capital-intensive nature of the business as well as the financing challenges encountered by 3D printing SMMEs. This study aimed to contribute to research on financial management practices and sources of finance as predictors of performance for 3D printing small and medium enterprises (SMMEs) in terms of profitability and increase in client base. The study adopted the interpretivist research paradigm, exploratory research design, inductive research approach and qualitative research method to achieve the objectives of the study. A total of twenty (20) 3D printing firms participated in the study. Employees and managers were purposefully selected to participate in the study. The participants comprised finance managers, senior managers and managers of the twenty (20) 3D printing firms that participated in the study. Structured interviews served as the instrument for data collection based on the objectives of the study. Data gathered from interviews were transcribed and analysed using thematic analysis. The study revealed that effective working capital management practices boost the profitability of 3D printing SMMEs, particularly through adopting no-credit policies and hiring competent finance officers. These practices also help expand the client base by ensuring timely delivery of products and services, with customer relationship management being a strategic approach. The study also revealed that liquidity management practices significantly boost the profitability of 3D printing firms by ensuring sufficient cash flow to meet financial obligations, managing financial risks, and ensuring timely product delivery, thereby enhancing customer satisfaction and contributing to growth in the customer base. The study recommends the need for 3D printing SMMEs to prioritise cash flow management and develop robust systems to monitor and control working capital components, including inventory, receivables, and payables.  

DOI 10.36096/ijbes.v6i5.5590 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Examining the role of financial characteristics of micro and small enterprises in accessing debt financing: evidence from Ghana

Collins Kwaning Owusu · Kwaku Opoku Ababio · Ernest Christian Winful · Evelyn Boadiwaa Bosomtwi

International Journal of Research in Business and Social Science · 2024

Read abstract

Given the critical role of financial characteristics in determining Micro and Small Enterprises (MSEs’) access to debt finance, it is essential to understand how these characteristics influence lending decisions, particularly from a developing market context. This study aims to examine the key financial characteristics that significantly influence MSEs’ ability to access debt finance. Using systematic sampling technique, we collect data from 171 Ghanaian MSEs that are registered with Ghana Enterprise Agency. The data was analyzed using SPSS linear regression version 24. The result shows financial management experience and profitability as the significant financial characteristics that influence MSEs ability to access debt finance. The result further shows that equity structure and financial statement have negative significant influence on MSEs ability to access debt finance. Asset tangibility, liquidity, debt service coverage ratio, and working capital has no significant influence on MSEs’ access to debt financing.

DOI 10.20525/ijrbs.v13i7.36800 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Effects of working capital management on the profitability of South African construction companies listed on the JSE

Letshaba Sejake · John Beneke · Johannes G Maseko · Bouba Ismaila

International Journal of Research in Business and Social Science · 2024

Read abstract

This study examines the correlation between inventory and accounts payable management and the profitability of construction companies listed on the Johannesburg Stock Exchange (JSE). The annual financial statements of all 13 listed construction businesses from 2009 to 2019, including statements of financial position and financial performance, were obtained from an external database for statistical analysis. The study employed multiple linear regression to assess the impact of working capital management on the financial performance of construction companies listed on the JSE. Additionally, a correlation model was utilised to investigate any potential relationships among the variables being examined. The study's findings indicate that the management of working capital has a notable impact on the profitability of construction companies listed on the Johannesburg Stock Exchange (JSE) in South Africa. Despite contradicting findings from other studies that support the opposite conclusion, this study demonstrates that effective management of working capital does not necessarily lead to a positive relationship with financial performance for financial managers of construction companies. Therefore, it is crucial to consider other aspects of management in addition to working capital.

DOI 10.20525/ijrbs.v13i4.33411 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
Full import history & methodology →