Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 9 / 9 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 02:30 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 17 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 9 / 9 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:59.226850+00:00 — 2026-10-22T02:30:06.241986+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 1 | 9 | 9/9 |
| 2018 | All selected publications | 0 | 9 | 9/9 |
| 2019 | All selected publications | 0 | 9 | 9/9 |
| 2020 | All selected publications | 5 | 9 | 9/9 |
| 2021 | All selected publications | 3 | 9 | 9/9 |
| 2022 | All selected publications | 9 | 9 | 9/9 |
| 2023 | All selected publications | 12 | 9 | 9/9 |
| 2024 | All selected publications | 3 | 9 | 9/9 |
| 2025 | All selected publications | 5 | 9 | 9/9 |
| 2026 | All selected publications | 1 | 9 | 9/9 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 2 |
| 2020 | 2 |
| 2021 | 2 |
| 2024 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 6 | 15 | 35 | 6/6 | 2.5 | 2.0 | 83.3 | 6/6 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 3 | 4 | 3/3 | 1.0 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
<p>Operational risk threatens banks financial viability and long-term sustainability. The purpose of this paper is to explore the effect of operational risk on financial performance of commercial banks in Kenya. The qualitative research design and ordered logistic model were employed. The data was analysed with the aid of STATA software. The conclusion of the study was that there exists an inverse relationship between operational risk and financial performance. The study also finds that bank size moderates the effect internal and external fraud on financial performance of commercial banks in Kenya by shrinking it. Bank size moderates the effect execution, delivery and process management on financial performance of commercial banks in Kenya by enhancing it. The guidelines and procedures provided by the Central bank of Kenya on operational risk management should be fully adhered into.</p>
This study sought to model the stock market return volatility at the Nairobi Securities Exchange (NSE) in the presence of structural breaks. Using daily NSE 20 share index for the period 04/01/2010 to 29/12/2017, the market return volatility was modeled using different GARCH type models and taking into account four endogenously identified structural breaks. The market exhibited a non-normal distribution that was leptokurtic and negatively skewed and also showed evidence for ARCH effects, volatility clustering, and volatility persistence. We found that by considering structural breaks, volatility persistence was reduced, while leverage effects were found to lead to explosive volatility. In addition, investors were not rewarded for taking up additional risk since the risk premium was insignificant for the full period. However, during explosive volatility, investors were rewarded for taking up more risk. Moreover, we found that risk premium, leverage effects, and volatility persistence were significantly correlated. The GARCH (1,1) and TGARCH(1,1) models were found to be the best fit models to test for symmetric and asymmetric effects respectively. While the GARCH models were able to provide evidence for the stylized facts in the NSE, we conclude that the presence or absence of these features is period specific. This especially relates to volatility persistence, leverage effects, and risk premium effects. Caution should, therefore, be taken in using a specific GARCH model to forecast market return volatility in Kenya. It is thus imperative to pretest the data before any return volatility forecasting is done.
The upper Echelons Theory reiterates the importance of top management in an organization and recognizes that the mangers make decisions that grow the entity. Before the establishment of this theory, the premise was that larger firms which drive high amounts of income, are capable of running themselves without failure. Although Organizations that command large amounts of income are deemed to be successful the upper echelons theory holds that these entities cannot be successful without proper management and guidance by top management where the board of directors in this case is considered as top management organ for SACCOs. Savings and Credit Cooperatives (SACCOs) have evolved over time from mobilizing savings and granting loans to become established entities that provide banking services to their customers. They require good governance to avoid the experience of financial distress. The current research was therefore aimed at establishing the influence of firm revenue on the relationship between board characteristics and financial distress of deposit taking SACCOs in Nairobi County. Large entities command more revenue as compared to small firms. Board Characteristics is of importance to this study because it influences Corporate Governance which according to previous research has shown that the practice helps revolutionize performance of various institutions. The study is guided by upper echelons theory which reiterates the importance of top management. Descriptive research design was adopted while Nairobi County was purposively chosen and a census was carried out on deposit taking SACCOs in the county. Secondary data was collected from SASRA using a data collection sheet and a panel data analysis performed using STATA software and findings were presented using tables. The study concluded that firm revenue does not mediate the relationship between board characteristics and financial distress of Deposit Taking SACCOs. Though firm revenue should be enhanced, governance should be improved since it remains a critical success factor in alleviation of financial distress.
The importance of Savings and Credit Cooperatives (SACCOs) cannot be underestimated. Despite their importance, they are faced with numerous challenges among them financial distress which threatens their very existence. The current research sought to establish the role of board characteristics in the financial distress suffered by Deposit Taking SACCOs in Nairobi County. The study is anchored inter alia on Agency Theory. Descriptive research design was adopted while Nairobi County was purposively chosen and a census was carried out on deposit taking SACCOs in the county. Secondary data was collected from SASRA using a data collection sheet and a panel data analysis performed using STATA software. The findings were presented using tables. The study concluded that there was a relationship between board characteristics and financial distress of Deposit Taking SACCOs where board composition, board education and board tenure have statistically significant and negative influence on financial distress. In conclusion SACCOs need to have lean boards, Board composition should also be improved by including more women on boards, there should be more inclusion of members with high and relevant education credentials, and SACCOs should have term limits for their members while an analysis too based on the Altman’s Z score models should be adopted for SACCOs. Another research may be carried out to establish other factors causing financial distress and how to turn around the SACCOs already in distress.
This study sought to evaluate the relationship between equity unit trust fund flows measured as purchases and sales and the Nairobi Securities Exchange (NSE) stock market return. The study employed Vector Autoregressive model and tested for Granger causality using monthly data for the period starting January 2010 to December 2017. The granger causality results showed that equity fund sales contain information that can explain stock market return and stock market return contain information that can explain equity fund purchases thus unidirectional causality. Impulse response results showed that equity fund purchases have a predominantly positive relationship with NSE stock market return and NSE stock market return have a positive relationship with equity fund purchases. This implies that an increase in stock market return will lead equity fund managers to purchase more securities and as the equity fund purchases increase, the demand for those stocks will increase causing the stock prices to increase and consequently increase stock market return. In contrast, equity fund sales are predominantly negatively related with stock market return and stock market return is also negatively related to equity funds sales. As the stock market return increase, the equity fund managers will decrease their sales. As the sales increase, the supply for those stocks will increase causing a decrease in prices and consequently a decrease in stock market return. Equity fund sales explain the variation in stock market return more than equity fund purchases while stock market return is a determinant of equity fund purchases and equity fund sales.
This study investigated the impact of healthcare interventions by agricultural cooperatives on women's recovery during the post-COVID-19 period in Kajiado County, Kenya. It explored how agricultural cooperatives address women's recovery in the post-COVID-19 period in Kajiado County. It examined support initiatives for women's recovery, internal healthcare mechanisms targeting women, and cooperative-led interventions in post-COVID-19 recovery. Supported by Social Capital Theory and Empowerment theory, the study focused on Kajiado County. Kajiado County was selected for its cultural diversity and economic activities. Utilizing a mixed-methods research design, the study included a sample size of 373 respondents, members of agricultural cooperatives. The qualitative phase involved interviews and focus groups, while the quantitative data was collected using structured questionnaires. This study employed a combination of stratified random sampling and purposive sampling. Findings were presented through tables, aiming to inform government regulators in policy formulation. The study concluded that women have largely positive perceptions of the healthcare interventions offered by agricultural cooperatives. The findings also suggested a strong positive correlation between women's experiences with healthcare initiatives and their recovery from the COVID-19 pandemic. The study further concluded that logistical and cultural barriers remain significant obstacles to women's access to healthcare services provided by agricultural cooperatives. Recommending that agricultural cooperatives must develop and implement robust communication strategies to bridge the gap between awareness and actual engagement in healthcare programs for women. The study encourages policymakers to work alongside cooperatives to broaden these programs, create accessible healthcare models that consider rural challenges, and overcome existing logistical and cultural obstacles. By building such collaborative frameworks, these efforts can enhance women’s resilience, support sustainable recovery, and contribute to enduring improvements in community health and economic resilience in rural areas.
Policymakers and scholars acknowledge the significance of small and medium enterprises in stirring the economic growth and development in developing and developed economies. In spite of the generally fast pace by which access to financial services for small and medium enterprises is being established, significant segments of the small and medium enterprises sector do not yet benefit from the expansion. This study, therefore, investigated the effect of relationship lending on access to financial services by small and medium enterprises in Kenya. The study was based on credit rationing theory and information asymmetry theory. The target population comprised 4,253 small and medium enterprises in Kenya. A sample size of 366 SMEs was used by the study. The study adopted a multistage sampling technique to obtain the SME respondents. Primary data was utilized and was acquired through semi-structured questionnaires. Data were analyzed using descriptive and inferential statistics utilizing Heckman two-stage regression model. The study findings showed that relationship lending had a positive and significant effect on access to financial services among SMEs in Kenya. The study concluded that relationship lending plays a critical role in access to financial services by SMEs in Kenya. The study recommends that SMEs owners should strive to meet the terms and conditions provided by lending institutions in their various financing practices while management of the lending institutions should adopt financing practices favorable to SMEs to increase their access to financial services.
The upper Echelons Theory reiterates the importance of top management in an organization and recognizes that the mangers make decisions that grow the entity. Before the establishment of this theory, the premise was that larger firms which drive high amounts of income, are capable of running themselves without failure. Although Organizations that command large amounts of income are deemed to be successful the upper echelons theory holds that these entities cannot be successful without proper management and guidance by top management where the board of directors in this case is considered as top management organ for SACCOs. Savings and Credit Cooperatives (SACCOs) have evolved over time from mobilizing savings and granting loans to become established entities that provide banking services to their customers. They require good governance to avoid the experience of financial distress. The current research was therefore aimed at establishing the influence of firm revenue on the relationship between board characteristics and financial distress of deposit taking SACCOs in Nairobi County. Large entities command more revenue as compared to small firms. Board Characteristics is of importance to this study because it influences Corporate Governance which according to previous research has shown that the practice helps revolutionize performance of various institutions. The study is guided by upper echelons theory which reiterates the importance of top management. Descriptive research design was adopted while Nairobi County was purposively chosen and a census was carried out on deposit taking SACCOs in the county. Secondary data was collected from SASRA using a data collection sheet and a panel data analysis performed using STATA software and findings were presented using tables. The study concluded that firm revenue does not mediate the relationship between board characteristics and financial distress of Deposit Taking SACCOs. Though firm revenue should be enhanced, governance should be improved since it remains a critical success factor in alleviation of financial distress.
The importance of Savings and Credit Cooperatives (SACCOs) cannot be underestimated. Despite their importance, they are faced with numerous challenges among them financial distress which threatens their very existence. The current research sought to establish the role of board characteristics in the financial distress suffered by Deposit Taking SACCOs in Nairobi County. The study is anchored inter alia on Agency Theory. Descriptive research design was adopted while Nairobi County was purposively chosen and a census was carried out on deposit taking SACCOs in the county. Secondary data was collected from SASRA using a data collection sheet and a panel data analysis performed using STATA software. The findings were presented using tables. The study concluded that there was a relationship between board characteristics and financial distress of Deposit Taking SACCOs where board composition, board education and board tenure have statistically significant and negative influence on financial distress. In conclusion SACCOs need to have lean boards, Board composition should also be improved by including more women on boards, there should be more inclusion of members with high and relevant education credentials, and SACCOs should have term limits for their members while an analysis too based on the Altman’s Z score models should be adopted for SACCOs. Another research may be carried out to establish other factors causing financial distress and how to turn around the SACCOs already in distress.
The study investigated the whether the default measures of liquidity and solvency are associated and whether default measures are related to firm profitability. A total of 41 firms were selected to be in the study sample out of 46 non-financial listed firms in the Nairobi Securities Exchange during years 2013 to 2017 and panel data regression analysis was employed. The findings revealed that liquidity and solvency are significantly and negatively associated while the default measures lacked a significant relationship with profitability in Kenyan listed companies. The findings implied that there is no need for firms to focus too much on the relationship between default and profitability including invest heavily in liquidity in order to meet short term obligations as nowadays it is possible for firms to either convert non-cash assets quickly or borrow on short notice from financial institutions in case of an urgent need to meet liquidity shortages. These findings are consistent with the shitability theory.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |