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: 7 / 7 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: 22 Oct 2026 00:49 UTC — 23 Oct 2026 10:56 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.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 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 | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 3 | 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 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 18 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 6 | 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 | 2 | 2/2 | 2/2 |
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 7 / 7 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): 2026-10-22T00:49:58.615405+00:00 — 2026-10-23T10:56:29.915841+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 | 0 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 1 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 3 | 7 | 7/7 |
| 2022 | All selected publications | 5 | 7 | 7/7 |
| 2023 | All selected publications | 8 | 7 | 7/7 |
| 2024 | All selected publications | 6 | 7 | 7/7 |
| 2025 | All selected publications | 2 | 7 | 7/7 |
| 2026 | All selected publications | 2 | 7 | 7/7 |
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 |
|---|---|
| 2018 | 1 |
| 2019 | 2 |
| 2021 | 2 |
| 2024 | 2 |
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 | 3 | 4 | 8 | 3/3 | 1.33 | 2 | 66.7 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 5 | 19 | 4/4 | 1.25 | 0.5 | 50.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Critical to the success of financial institutions' performance is there Capital Structure. The study aimed to, investigate the effect of two capital structure determinants, leverage, and firm size on financial performance as measured by Return on Assets of Deposit Taking Savings and Credit Cooperative Societies in Kenya. The study was grounded on Tradeoff, Pecking order, and Mogdiliani and Miller capital structure theories. A positivist approach was adopted utilizing a mixed-method research design. The population of the research study was 174 Deposit Taking Savings and Credit Cooperative Societies from whom primary and secondary data was collected. A stratified and purposive sampling technique was employed. Descriptive statistics and a regression model were used to analyze the data. The results revealed that firm size had a significant and positive effect on financial performance, whereas Leverage, had a significant but negative effect on financial performance. The study recommends having in place an Assets and Liabilities committee in each Deposit Taking Savings and Credit Cooperative Society that would help manage the assets and liabilities of the institution, ensuring sound liquidity and cash flow management. Critical factors that contribute to a firm size such as increased membership, deposits mobilization amongst others need to be addressed.
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.
Capital structure management is one of the most crucial corporate financial management functions in a firm since appropriate debt policy is reported to maximize the value of a firm. Kenya is ranked second in Africa after South Africa in regards to financial deepness. This means that the cost of debt should not have adverse effect financial performance. This observation raises fundamental question: does debt financing leads to poor financial performance in Kenya? This research sought to investigate the role of observed leverage on financial performance of listed non- financial firms in Kenya. The study tested capital structure theories and therefore adopted a positivists approach, guided by causal research design. The study population was 35 non-financial sub-sector firms out of the 65 firms listed at the NSE, Kenya. 18 firms were excluded in this study since they belong to banking and insurance sub-sectors, which have a highly regulated capital structure. Secondary data collection sheet was used to collect data for each of the variables from audited financial statements of the listed firms for a 10-year period (2006-2015). Panel regression analysis revealed that observed leverage measured by (LDR) had a significant positive coefficient with performance metrics. However, the leverage measure using TDR showed a negative and significant role on performance metrics. This study recommends that for listed firms to improve their financial performance, they should use more long-term debts than short-term debts.
Small and Medium Scale Enterprises (SMEs) continue to be major players in the economic growth of Uganda as well as many of the emerging economies. The Uganda Investment Authority had projected 5.5% economic growth by 2030 in anticipation of stable market conditions necessary for the sustained financial performance of SMEs. However, the business failure rate of SMEs in Uganda had persistently revolved around 70% in 2018 from 50% in 2004. This problem had been linked to the turbulent market conditions characterized by intensive competition as well as volatile consumption behavior of the customers. Empirical literature indicates that competitive intensity, as well as volatile customer demand, presents a negative impact on financial performance. Hence, the study sought to determine the moderating effect of market conditions on the capital structure-financial performance relationship of SMEs in Uganda. From a population of 218,561 SMEs, a sample of 453 respondents was selected out of which, 423 responded to the questionnaire. Primary data were analyzed using descriptive statistics and multiple regression techniques. The hypothesis was tested at a 0.05 level of significance. Findings indicated that Market conditions had a positive and significant moderating effect on the capital structure-financial performance relationship (?= 0.175 and p = -0.027). We conclude that market conditions can strengthen/ weaken the effect of capital structure on the financial performance of SMEs. We recommend that SMEs should evaluate the market conditions during the process of deciding the financing mix for their operations to optimize the impact of capital structure on financial performance
Dividend payout is one of financial options that Saccos consider as part of the key performance indicators for Saccos. Deposit taking Saccos in Kenya have faced numerous challenges namely, governance, managerial and operational such that the performance of a number of them continues to be sub optimal according to the report by SASRA. Therefore, this study sought to examine the influence of board characteristics on dividend policy of deposit taking Saccos in Kenya under guidance by agency cost theory. The study utelized causal design and descriptive survey design. The targeted population was 403 stakeholders sampling 201 through stratified simple random sampling. The sacco directors/chairpersons and the CFO/CEOs formed unit of analysis. Closed ended questionnaires were applied for primary data. A list of 20 Saccos in Starehe Sub County, Nairobi County were basis for pilot test to establish reliability and validity of research instruments. Cronbach Alpha was employed to ascertain reliability, whereas content and construct validity were utilized to attain validity. The data underwent analysis through the application of descriptive as well as inferential statistics. The investigation ensured that the assumptions of linear regression were satisfied before conducting numerous linear regressions. Tables were used to present data. The results indicated a positive significant association between board characteristics practices and dividend policy P:0.000<0.05 hence conclusive that deposit-taking Saccos in Kenya focused on board characteristics as envisaged. The study recommended that Sacco’s should diverse the board features to ensure they accommodate the dividend policy framework.
The Kenyan government has implemented numerous reforms, including the inclusion of the manufacturing sector as one of the government's four major agendas for revitalizing the sector. Despite these reforms, statistics show that over the last ten years, manufacturing industries in Kenya listed on the Nairobi Securities Exchange have experienced stagnation and declining profits, slowing growth, and declining market share, necessitating the establishment and execution of effective corporate governance. Therefore, the current study investigated the effects of corporate governance on performance of manufacturing and allied firms listed at Nairobi Security Exchange, Kenya. The study specifically investigated the effects of board composition, board size, board independence and board diversity on performance of manufacturing and allied firms. Agency theory, RBV and stakeholder’s theory anchor the study. Descriptive research design was used. Stratified random sampling technique was used as a sampling technique. A self-administered semi-structured questionnaire was used to collect primary data from a population of four hundred and thirty-nine manufacturing and allied firms. Two hundred and nine corporate managers from these manufacturing companies were sampled. A pilot test of twenty-nine respondents was conducted. Collected data was coded, cleaned, and analyzed. Data analysis included the creation and interpretation of descriptive means, percentages, and standard deviations, which was presented in the form of tables, charts, and graphs. The results of regression analysis established that board composition, board size, board independence and board diversity significant influenced firm performance of manufacturing and Allied Firms listed at the Nairobi Securities Exchange, Kenya.
Dividend payout is one of financial options that Saccos consider as part of the key performance indicators for Saccos. Deposit taking Saccos in Kenya have faced numerous challenges namely, governance, managerial and operational such that the performance of a number of them continues to be sub optimal according to the report by SASRA. Therefore, this study sought to examine the influence of board characteristics on dividend policy of deposit taking Saccos in Kenya under guidance by agency cost theory. The study utelized causal design and descriptive survey design. The targeted population was 403 stakeholders sampling 201 through stratified simple random sampling. The sacco directors/chairpersons and the CFO/CEOs formed unit of analysis. Closed ended questionnaires were applied for primary data. A list of 20 Saccos in Starehe Sub County, Nairobi County were basis for pilot test to establish reliability and validity of research instruments. Cronbach Alpha was employed to ascertain reliability, whereas content and construct validity were utilized to attain validity. The data underwent analysis through the application of descriptive as well as inferential statistics. The investigation ensured that the assumptions of linear regression were satisfied before conducting numerous linear regressions. Tables were used to present data. The results indicated a positive significant association between board characteristics practices and dividend policy P:0.000<0.05 hence conclusive that deposit-taking Saccos in Kenya focused on board characteristics as envisaged. The study recommended that Sacco’s should diverse the board features to ensure they accommodate the dividend policy framework.
Small and Medium Scale Enterprises (SMEs) continue to be major players in the economic growth of Uganda as well as many of the emerging economies. The Uganda Investment Authority had projected 5.5% economic growth by 2030 in anticipation of stable market conditions necessary for the sustained financial performance of SMEs. However, the business failure rate of SMEs in Uganda had persistently revolved around 70% in 2018 from 50% in 2004. This problem had been linked to the turbulent market conditions characterized by intensive competition as well as volatile consumption behavior of the customers. Empirical literature indicates that competitive intensity, as well as volatile customer demand, presents a negative impact on financial performance. Hence, the study sought to determine the moderating effect of market conditions on the capital structure-financial performance relationship of SMEs in Uganda. From a population of 218,561 SMEs, a sample of 453 respondents was selected out of which, 423 responded to the questionnaire. Primary data were analyzed using descriptive statistics and multiple regression techniques. The hypothesis was tested at a 0.05 level of significance. Findings indicated that Market conditions had a positive and significant moderating effect on the capital structure-financial performance relationship (?= 0.175 and p = -0.027). We conclude that market conditions can strengthen/ weaken the effect of capital structure on the financial performance of SMEs. We recommend that SMEs should evaluate the market conditions during the process of deciding the financing mix for their operations to optimize the impact of capital structure on financial performance
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 study aimed at examining the effect of shareholder loyalty on firm value-creating outcomes in Kenya. The study used a sample of 117 institutional shareholders in listed firms in Kenya. Data was collected through questionnaires and analyzed using descriptive statistics such as mean, mode, and median and inferential statistics including factor analysis, regression, and analysis of variance (ANOVA). The study concluded that shareholder loyalty has no significant effect on firm value-creating outcomes. The study contributes to the literature on shareholder engagement, particulary on shareholder loyalty from a Kenyan angle. Shareholders are advised to consider their initial cost of investment, costs, and penalties on exit and impact on their business interests with the firm as they decide on their voice or exit actions.
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 |