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OpenAlex coverage 100.0% · 101/101 recordsLast OpenAlex observation 23 Oct 2026, 13:08 UTC
PUBLICATIONS101In the selected collection
CROSSREF CITATIONS238101/101 with known counts
OPENALEX CITATIONS504101/101 with known counts
OPENALEX MEAN4.99Per article with a known count
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topic: Banking stability, regulation, efficiency 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.

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Institutions

Open University of Sri Lanka4University of Dhaka4Karatina University385/101 records with data

Countries

Kenya11Indonesia8United States885/101 records with data

Primary topics

Banking stability, regulation, efficiency101101/101 records with data
Two perspectives on citations

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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.

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Annual history: 101/101 articles. Latest history observation: 2026-10-23T13:08:02.558315+00:00. Source totals are never added together.
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International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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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
101 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS101
CROSSREF CITATIONS238
CROSSREF · CITED PUBLICATIONS63.4%
CROSSREF · MEAN CITATIONS2.36

Crossref citation coverage: 101 / 101 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 CITATIONS504
DOI MATCH COVERAGE100.0%101 / 101 publications
MEAN · KNOWN COUNTS ONLY4.99101 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 13:08 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations281–5516–201721+5Unknown0

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

85 / 101 with data · 16 missing or unmatched. Percentages use all 101 selected publications.

Open University of Sri Lanka4 4.0%University of Dhaka4 4.0%Karatina University3 3.0%Islamic University of Indonesia3 3.0%Universiti Malaysia Sarawak3 3.0%University of Prishtina3 3.0%Tunis University2 2.0%Jagannath University2 2.0%Kenyatta University2 2.0%University of South Africa2 2.0%University of Lagos2 2.0%Jomo Kenyatta University of Agriculture and Technology2 2.0%University of Barishal2 2.0%Jagannath University2 2.0%United States International University Africa2 2.0%The Co-operative University of Kenya2 2.0%Huazhong University of Science and Technology2 2.0%Masinde Muliro University of Science and Technology2 2.0%University of Chittagong2 2.0%University of Port Harcourt1 1.0%University of Finance and Administration1 1.0%Kozminski University1 1.0%Great Zimbabwe University1 1.0%National University of Science and Technology1 1.0%Akwa Ibom State University1 1.0%University of Nairobi1 1.0%Reserve Bank of India1 1.0%Tianjin University of Science and Technology1 1.0%Gopalganj Science and Technology University1 1.0%Central Bank of Brazil1 1.0%Public Authority for Applied Education and Training1 1.0%Universidade de Brasília1 1.0%Indian Institute of Management Ahmedabad1 1.0%Tribhuvan University1 1.0%University of Botswana1 1.0%Eastern Washington University1 1.0%Lebanese University1 1.0%Universitas Gadjah Mada1 1.0%University of New Mexico1 1.0%University of Brawijaya1 1.0%Lincoln University1 1.0%University of Toronto1 1.0%Central Bank of the Republic of Turkey1 1.0%Université Paris Cité1 1.0%Harbin Institute of Technology1 1.0%Taibah University1 1.0%North-West University1 1.0%Konya Food and Agriculture University1 1.0%Pentecost University College1 1.0%University of the City of Manila1 1.0%Kwame Nkrumah University of Science and Technology1 1.0%University of Energy and Natural Resources1 1.0%Bangladesh Air Force Shaheen College1 1.0%National University of Science and Technology1 1.0%Sol Plaatje University1 1.0%University of National Education1 1.0%Warmadewa University1 1.0%Ziguinchor University1 1.0%University of Uyo1 1.0%Wichita State University1 1.0%Yıldız Technical University1 1.0%Universitas Tabanan1 1.0%Capital University of Science and Technology1 1.0%Lahore Garrison University1 1.0%Ohio University1 1.0%Prime University1 1.0%Institute for Systems Analysis1 1.0%Duhok Polytechnic University1 1.0%Al-Zahra College for Women1 1.0%Muhammadiyah University Purwokerto1 1.0%Council for Scientific and Industrial Research1 1.0%American University of Ras Al Khaimah1 1.0%Universitas Pembangunan Nasional Veteran Jakarta1 1.0%College of Business Education1 1.0%Nile University of Nigeria1 1.0%Universitas Widyatama1 1.0%State University of New York at Oswego1 1.0%Forestry Research Institute of Ghana1 1.0%Obafemi Awolowo University1 1.0%Jahangirnagar University1 1.0%Saint Louis University1 1.0%Université Paris 1 Panthéon-Sorbonne1 1.0%Universiti Malaysia Perlis1 1.0%De Montfort University1 1.0%De La Salle University – Dasmariñas1 1.0%University of Santo Tomas1 1.0%University of Sousse1 1.0%Metropolitan State University of Denver1 1.0%University of Gothenburg1 1.0%Citadel1 1.0%Bryan College1 1.0%University of the Aegean1 1.0%Lindenwood University1 1.0%

Countries

85 / 101 with data · 16 missing or unmatched. Percentages use all 101 selected publications.

Primary topics

101 / 101 with data · 0 missing or unmatched. Percentages use all 101 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 101 / 101 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): 2026-10-21T07:22:43.080591+00:00 — 2026-10-23T13:08:02.558315+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

8542.50 2017 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 101/1012018 · All selected publications · OpenAlex · Citations received by year: 20 · Annual history coverage 101/1012019 · All selected publications · OpenAlex · Citations received by year: 25 · Annual history coverage 101/1012020 · All selected publications · OpenAlex · Citations received by year: 41 · Annual history coverage 101/1012021 · All selected publications · OpenAlex · Citations received by year: 61 · Annual history coverage 101/1012022 · All selected publications · OpenAlex · Citations received by year: 85 · Annual history coverage 101/1012023 · All selected publications · OpenAlex · Citations received by year: 66 · Annual history coverage 101/1012024 · All selected publications · OpenAlex · Citations received by year: 81 · Annual history coverage 101/1012025 · All selected publications · OpenAlex · Citations received by year: 69 · Annual history coverage 101/1012026 · All selected publications · OpenAlex · Citations received by year: 36 · Annual history coverage 101/101 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications6101101/101
2018All selected publications20101101/101
2019All selected publications25101101/101
2020All selected publications41101101/101
2021All selected publications61101101/101
2022All selected publications85101101/101
2023All selected publications66101101/101
2024All selected publications81101101/101
2025All selected publications69101101/101
2026All selected publications36101101/101

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.

Mean2.36
Median1
No citations371–5556–20721+2Unknown0

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 Finance & Banking Studies
SSBFNET
6717538267/672.61168.767/67 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
346312234/341.851.052.934/34 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 101 →

Most cited · Crossref

JOURNAL ARTICLE

Bank Specific and Macroeconomic Determinants of Commercial Bank Profitability: Empirical Evidence from Nigeria

Oluwaseyi Ebenezer Olalere · Wan Ahmad Bin Omar · Syahida Kamil

International Journal of Finance & Banking Studies · 2017

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The study examines the bank-specific and macroeconomic determinants of banks profitability in Nigeria analyzing audited financial reports of selected sixteen (16) commercial banks over the period of 2010 to 2015 making up to 96 observations. The study identified that existing studies are sketchy in developing economies even though many studies have emerge in developed economies. The bank profitability is measured by return on assets and return on equity as function of bank-specific and macroeconomic determinants. Using the balanced panel data set, the empirical results of the study shows that capital adequacy and liquidity have a positive and significant effect on bank profitability. However, efficiency ratio have a negative and significant effect on bank profitability. With regards to macroeconomic variable, GDP growth also have a positive and significant impact on banks profitability. The empirical results of the study suggested that banks can improve their profitability through increasing capital and liquidity, decreasing operating cost with conscious effort to maintain transparency in their operations. In addition, a good economic environment for financial institutions foster increase in bank profitability. Hence, the study recommends that further studies can expand the scope while extending to other industries as well.

DOI 10.20525/ijfbs.v6i1.62738 Crossref citations85 OpenAlex citations
JOURNAL ARTICLE

The impact of credit risk management on the financial performance of United Arab Emirates commercial banks

Jamil Salem Al Zaidanin · Omar Jamil Al Zaidanin

International Journal of Research in Business and Social Science · 2021

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The main purpose of this study is to measure up to what extent the independent factors defined by capital adequacy ratio, non-performing loans ratio, cost-income ratio, liquidity ratio, and loans-to-deposits ratio impact the financial performance of sixteen commercial banks operating in the United Arab Emirates using panel data for the period of 2013-2019. The secondary data was collected from banks and examined by applying standard descriptive statistics and the random effect model for hypothesis testing. It is concluded from the regression outcomes that non-performing loans ratio and cost-income ratio have a significant negative impact on commercial banks profitability in the United Arab Emirates, while capital adequacy ratio, liquidity ratio, and loans -to-deposits ratio all have a very weak positive relationship on the return on assets but they are not determinants of bank’s profitability due to the insignificant statistical impact on it. It is therefore suggested that to enhance financial performance and minimize the risk of non-performing loans in the future, banks must watch very carefully the loans’ performance and analyze thoroughly the clients’ credit history and ability to pay back their debts prior to any approval of loan applications. Furthermore, banks should continuously improve their assets utilization, liquidity, and techniques of managing operating costs, improve the impact of capital adequacy, and the use of deposits for lending activities from a weak positive impact to a significant positive impact on their profitability. The researchers recommend that future studies on credit risk management influence on banks’ financial performance should consider more independent variables and longer periods of study such as twenty or thirty years to have more accuracy and generalized results.  

DOI 10.20525/ijrbs.v10i3.110223 Crossref citations46 OpenAlex citations
JOURNAL ARTICLE

Determinants of Non-performing Loans

Muhammad Waqas · Nudrat Fatima · Aryan Khan · Muhammad Arif

International Journal of Finance & Banking Studies · 2019

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The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.

DOI 10.20525/ijfbs.v6i1.61717 Crossref citations32 OpenAlex citations
JOURNAL ARTICLE

Banks’ profitability determinants in post-crisis European Union

Marcin Korytowski

International Journal of Finance & Banking Studies · 2018

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The purpose of this article is to examine the impact of selected internal and external factors on a bank’s profitability. The research investigates the impact of operational size, liquidity, risk appetite, management efficiency, product diversification, concentration, GDP growth and inflation change on the profitability of sample of 4179 European commercial banks for the period between 2011 and 2015. The input data were obtained from the Orbis Focus and the World Bank databases. The determinants were used to construct two models with ROAA and ROAE as a proxies and regression analysis using between groups panel approach was conducted. It has been found that growing economy impacts banks’ profitability positively. It has been robustly confirmed that management efficiency, product diversification, market concentration and inflation result in decreased profitability. The operational size has been found to be negatively linked to changes in net results but was confirmed only with ROAA model. Similarly, statistically significant results with regard to liquidity were found only for ROAA model and the correlation was positive. The strong negative impact of market concentration on profitability is an interesting finding allowing for further exploration of reasons for this unexpected vector of correlation.

DOI 10.20525/ijfbs.v7i1.1411 Crossref citations19 OpenAlex citations
JOURNAL ARTICLE

The Impacts of Liquidity on Profitability in Banking Sectors of Iraq

Sardar Shaket Ibrahim

International Journal of Finance & Banking Studies · 2017

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This study examines the influence of liquidity on the profitability of Iraqi commercial banks. Five banks based in Iraq namely: North bank, Iraqi Islamic bank, Sumer bank, Dar Es-Salam bank and Babylon bank randomly selected and analyzed for the current study over the period 2005 to 2013. Moreover,  annual reports of these banks have studied and the main ratios of profitability and liquidity were calculated. These reports are available at Iraqi Stock Exchange site. The variables that were identified as independent for liquidity were, loan deposit ratio, deposit asset ratio and cash deposit ratio, while return on assets as dependent variable for profitability. The Ordinary Least Square (OLS) model used to examine the impact of liquidity on profitability. The study observes that any increase in liquidity ratios as above mentioned will lead return on asset to increase as well. Depending on this study it could be better for Iraqi banks to keep a balance between liquidity and profitability.

DOI 10.20525/ijfbs.v6i1.65011 Crossref citations23 OpenAlex citations

Selected results

JOURNAL ARTICLE

Effect of Deposit Diversification on Financial Performance of Deposit Taking Saccos in Kenya: The Moderating Role of corporate Governance

Gilbert Lumbasi Chepkania · Maniagi Musiega · Charles Tibbs

International Journal of Research in Business and Social Science · 2026

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This study examined the effect of deposit diversification on the financial performance of Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) in Kenya and evaluated the moderating effect of corporate governance on this relationship.  The study adopted a positivist research philosophy and a causal research design. The target population comprised 176 SASRA-licensed DT-SACCOs in Kenya, from which 122 SACCOs with complete financial records for the period 2015–2024 were selected using simple random sampling. Panel data techniques, including fixed-effects and random-effects regression models, were employed to estimate the direct and moderating effects, while hierarchical regression was used to test the moderation hypothesis. The findings revealed that non-withdrawable deposits significantly and positively influenced both surplus and dividend payout after introducing lags, whereas withdrawable deposits had no significant effect on financial performance. The results further established that corporate governance had a positive and significant direct effect on financial performance and significantly strengthened the relationship between deposit diversification and financial performance. The findings provide practical guidance for DT-SACCO managers and policymakers to strengthen stable deposit mobilization and corporate governance as mechanisms for enhancing financial sustainability and institutional performance.

DOI 10.20525/ijrbs.v15i5.53200 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Study of internal and external factors influencing the choice of multi-banking relationships among SMEs in Senegal: an approach using multinomial logistic regression

Amon Aniké Deh · Sarata Barry · Fatoumata Thiam

International Journal of Research in Business and Social Science · 2025

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SMEs (Small and Medium Enterprises) play a critical role in Senegal's economy. Some SMEs choose to work with only one bank (monobanking), while others engage with multiple banks (multibanking). This study aims to examine both internal and external determinants that influence SMEs' decision to opt for multibanking. Using data collected from 105 SME managers in Senegal, the research employs multinomial logistic regression which shows that internal factors such as the size of the SME, its maturity, and the manager's experience, significantly drive multibanking, while external factors, such as the quality of banking services, negatively influence this decision. Knowledge of these factors could help to improve the bank-SME relationship, resulting in a win-win situation that better meets the needs of SMEs and increases the loyalty of the main bank's customers. This could contribute to better performance for both players.

DOI 10.20525/ijrbs.v14i3.41490 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The Impact of Credit Risk Management Policies on the Growth of Deposit Money Banks: The Nigerian Experience

Ever Obi · Olajide Solomon FADUN · Babajide Abayomi IJIMAKINWA

International Journal of Research in Business and Social Science · 2025

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This study examines the impacts of credit risk management on the growth of Nigerian banks. Specifically, the study focused mainly on the impacts of credit risk management among Deposit Money Banks in Nigeria. The study employed an ex-post facto research design, utilising secondary data from the financial information of 14 selected listed Deposit Money Banks from 2007 to 2022. The study population was defined as the total number of listed Deposit Money Banks, from which a sample of six banks was selected using a simple random sampling technique. The operationalisation of variables included (1) the use of natural logarithm for bank size, (2) a three-level scale for credit risk, and (3) alternative measurements for collateral management and credit scores. Data analysis involved the calculation of descriptive statistics, correlation analysis, variance inflation factors, and regression analysis. The research hypotheses are also validated to assess the significance of various factors in credit risk management. The findings revealed that credit scores significantly enhance the effectiveness of credit risk assessment, and collateral management did not significantly contribute to mitigating credit risk. The findings also revealed that default risk management significantly reduces the credit risk of Deposit Money Banks in Nigeria. These results highlight the intricate nature of credit risk management in the banking sector and emphasize the need for a multifaceted approach.

DOI 10.20525/ijrbs.v14i3.41611 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Performance and Risk in STOXX 600 Banks

Adam Cernohorsky · Oskar Crnadak · Petr Budinsky

International Journal of Finance & Banking Studies · 2025

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This study examines the stock performance of large and small European banks included in the STOXX 600 Banks index in response to three major macroeconomic shocks the COVID-19 pandemic, the Russian invasion of Ukraine, and the collapse of Silicon Valley Bank. Employing daily bank stock returns and an event study framework, the analysis measures immediate market reactions through abnormal returns, while subsequent shifts in equity performance are evaluated using volatility, Sharpe ratios, and beta coefficients. The results suggest that large banks tend to exhibit more pronounced short-term losses during shocks compared to smaller banks. In contrast, small banks generally outperform in the medium term following these events, achieving higher risk-adjusted returns despite elevated volatility. Both segments experience increased market correlation and volatility during periods of disruption, indicating heightened systemic risk. Moreover, the type of shock plays a crucial role, with smaller banks often showing greater resilience to localized and geopolitical shocks.

DOI 10.20525/ijfbs.v14i2.40910 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Determinants of bank deposits under changing economic conditions in South Africa

Richard Apau · Athenia Bongani Sibindi

International Journal of Research in Business and Social Science · 2025

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This study assesses the determinants of bank deposit flows under changing economic conditions by applying the dynamic panel two-step generalized methods of moments technique to annual observations covering 2007 to 2022 of 12 commercial banks in South Africa. The analysis revealed past deposit flow, profitability, bank size, and capital adequacy ratio as constituting a set of bank-specific variables with a positive predictive influence on deposit flows. At the same time, expenditure drives an adverse impact on deposits. These dynamics posit important implications for efficiency in bank expenditure management to sustain the inflow of depositors’ flows. Also, the results show the existence of a positive relationship between the unemployment rate and deposit flow, which is unexpected in practice, as an increase in joblessness in the country implies a decline in the financial capacity of the population to contribute to bank saving portfolios. However, the unexpected interaction between unemployment and deposit flow in this context can be explained by the adaptive principles of market interactions as the relationship between financial variables is unlikely to be the same under different economic conditions. Moreover, the analysis shows a positive effect of the economic condition on deposit flows which implies that an increase in national productivity exerts an impressive on the flow of depositors' funds to the banks based on market expansion and rapid growth momentum. Based on the findings, strategies to ensure the sustenance of a conducive macroeconomic environment should be reinforced by policymakers as the dynamics of bank deposit flows are linked to the direction of the current economic condition.

DOI 10.20525/ijrbs.v14i2.38820 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 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →