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.
ISSN 2147-4478 • Journal website ↗
Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2020 · Kenneth Otieno Odhiambo · Charles Rambo · Stephen Lucas Okelo
2020 · Pamela Akinyi Oyieyo · Charles M Rambo · Anne Ndiritu
2020 · Cornel Likale Ndombi · Dorothy Ndunge Kyalo · Angeline Sabina Mulwa
2020 · Cornel Likale Ndombi · Dorothy Ndunge Kyalo · Angeline Sabina Mulwa
2020 · Edwin Ochieng Okul · Raphael Ondeko Nyonje
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: 6 / 6 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 01:06 UTC — 23 Oct 2026 10:27 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 11 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 21 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-22T01:06:54.648309+00:00 — 2026-10-23T10:27:10.156737+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 1 | 6 | 6/6 |
| 2022 | All selected publications | 5 | 6 | 6/6 |
| 2023 | All selected publications | 3 | 6 | 6/6 |
| 2024 | All selected publications | 5 | 6 | 6/6 |
| 2025 | All selected publications | 4 | 6 | 6/6 |
| 2026 | All selected publications | 3 | 6 | 6/6 |
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 |
|---|---|
| 2020 | 6 |
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 Research in Business and Social Science SSBFNET | 6 | 11 | 21 | 6/6 | 1.83 | 1.5 | 83.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
In spite of the rise in the global adoption of public private partnerships, developing countries have failed to attract private investments in equally measure as their developed partners. This has impacted on infrastructural financing in developing countries. The current study sought to establish how market risks influence the performance of public private partnership renewable energy projects. The study adopted a pragmatic paradigm and employed a mixed methods approach, correlational and descriptive survey design. Quantitative data was collected by use of a self-administered questionnaire and while an interview guide was used to collect qualitative data after piloting and reliability established. A sample size of 263 respondents was drawn from a target population of 769 using the Yamane formula. For descriptive statistics the study used the mean and standard deviation. For inferential statistics the study used Pearson’s Product Moment Correlation (r) and Multiple Regression while the F-tests were used in hypothesis testing. The study established a significant influence of market risks on the performance of public private partnerships renewable energy projects F (1,204) =104.689, P=0.000? 0.05. H0 was consequently rejected. Based on this finding the study recommends hedging measures to promote public private partnerships
The purpose of the study was to identify and rank the prevalence and severity of risk factors construction cost overrun in Public-Private Partnership projects using a case study of Sondu-Miriu Hydroelectric Power Project in Kisumu County, Kenya. This study adopted a descriptive design and collected quantitative data analysed quantitatively using descriptive statistics. In total, 85 persons were identified to have taken part in the management and implementation of the study from whom a sample size of 71 participants was obtained. Questionnaires were emailed to the participants providing details of the study and requesting their participation. The study ranked the risk factors based on prevalence and severity from most prevalently severe to least prevalently severe as design changes, emerging tasks affecting delivery, construction task breakdown structure, design variations and failure of contractors to complete different tasks. Thus, stakeholders should participate fully in the project from design to avoid design changes leading to cost overrun. During implementation, the contractor and construction manager should device mechanisms to anticipate changes in the political environment as such changes determines government policies and decisions affecting the project funding, design and scope.
Donor agencies have heavily funded livelihood programs in Kilifi County but these projects struggle with sustainability with some dying immediately the funding is withdrawn. The objective of the study was to establish how to support service linkage strategy influence the sustainability of donor-funded livelihood projects in Kilifi County. The study was guided by Discovery Learning theory; Diffusion of Innovation theory; Lippitt’s theory of planned change; and Theory of Stakeholder Management. A descriptive correlational research design was used. A sample size of 170 was selected from a population of 295 from three livelihood projects using Slovin’s formula. 7 interviews and 3 focus group discussions were carried out. Prior to data analysis, statistical assumptions were tested. Standard deviations, standard error of means and arithmetic means were used for descriptive analysis while Pearson’s Product moment correlation and linear regression, F-tests, and t-tests were used for inferential analysis using statistical package for social sciences. The mean perception of sustainability did not differ significantly with projects (p=0.192), gender (p=0.669), age (p=0.724), and marital status (p=0.284). However, there was a significant difference in mean perception of the sustainability of donor-funded livelihood projects among the different groups based on the highest level of education attained (p=0.011) and duration of stay in the project (p=000162). H0, r=0.383, p=0.000027<0.05 was rejected and concluded that support service linkages significantly influenced the sustainability of donor-funded livelihood projects. Therefore, policies should be reviewed to provide an enabling environment and culture that will support access to support services such as affordable extension services, affordable and readily available credit, markets. Future studies should use simple and direct Likert items with diverse projects.
Benefactor organizations have greatly funded livelihood projects and programs in Kilifi County. However, these projects grapple with sustainability. Some halt operations instantaneously the funding is withdrawn. The purpose of the study was to investigate the influence of monitoring and evaluation (participation; tools; and timing and frequency) on the sustainability of donor-funded livelihood projects in Kilifi County, Kenya. The descriptive correlational research design was used with a sample of 170 from a population of 295 from three livelihood projects. Seven interviews and three focus group discussions were carried out. Standard deviations, standard error of means, arithmetic means, Pearson’s Product moment correlation, and linear regression were used. The perception of sustainability did not differ significantly with projects, gender, age, and marital status. However, perception differed based on the highest level of education and duration in the project. H0, r=0.458, p=0.000389<0.05 was rejected and concluded that monitoring and evaluation significantly influenced the sustainability of donor-funded livelihood projects. Participation in M&E and (p=0.000), frequency, and timing (p=0.024) had a significant while tools used in M&E (p=0.459) did have a significant influence on sustainability. This implies that corporate and individual knowledge of the project objectives, targets, and means of measuring project results were still critical in ensuring sustainability is attained. Simple templates of the logical framework should be used for the farmers to understand how inputs are converted into activities, outputs, outcomes, and goals. It is implied that the farmers had little knowledge of Likert items denoting tools in M&E. Therefore, simple and direct Likert items need to be chosen.
The results of an evaluation should be used for the envisioned goal and the evaluation process and/or outcomes should be used in practice and decision making. This article presents research whose objective was to establish the extent to which stakeholder involvement in evaluations impacts the utilization of evaluation findings for program improvement. Guided by the pragmatic paradigm and supported by the Utilization-Focused Evaluation Model and Knowledge Use Theory, the researchers assumed a descriptive and correlational design using mixed methods. The sample size for this study was 232 project staff from Non-Governmental Organizations (NGOs) in Kisumu Central Sub-County, Kenya. To analyze qualitative data, the open-ended responses from key informant interviews were recorded and coded appropriately for further analysis for themes through content analysis and comparative analysis. Frequencies and percentages were calculated to describe the basic characteristics of the quantitative data. To ensure the validity and reliability of the research instruments, pilot testing was conducted. Cronbach’s alpha at ? = 0.908 was attained as the reliability coefficient of the pre-test instruments. Tests of statistical assumptions were carried out before data analysis to avoid invalidation. A hypothesis was tested at the ? = .05 level of significance and was rejected. The findings demonstrate that there is a significant relationship between stakeholder involvement in evaluations and the utilization of evaluation results. This research, therefore, reinforces literature and helps to understand the ways in which stakeholder involvement in evaluations influences the utilization of evaluation results. It informs the evaluation field of study, fills gaps in the evaluation use literature, and contributes to the appreciation of factors that predict and enhance the utilization of evaluation results
Benefactor organizations have greatly funded livelihood projects and programs in Kilifi County. However, these projects grapple with sustainability. Some halt operations instantaneously the funding is withdrawn. The purpose of the study was to investigate the influence of monitoring and evaluation (participation; tools; and timing and frequency) on the sustainability of donor-funded livelihood projects in Kilifi County, Kenya. The descriptive correlational research design was used with a sample of 170 from a population of 295 from three livelihood projects. Seven interviews and three focus group discussions were carried out. Standard deviations, standard error of means, arithmetic means, Pearson’s Product moment correlation, and linear regression were used. The perception of sustainability did not differ significantly with projects, gender, age, and marital status. However, perception differed based on the highest level of education and duration in the project. H0, r=0.458, p=0.000389<0.05 was rejected and concluded that monitoring and evaluation significantly influenced the sustainability of donor-funded livelihood projects. Participation in M&E and (p=0.000), frequency, and timing (p=0.024) had a significant while tools used in M&E (p=0.459) did have a significant influence on sustainability. This implies that corporate and individual knowledge of the project objectives, targets, and means of measuring project results were still critical in ensuring sustainability is attained. Simple templates of the logical framework should be used for the farmers to understand how inputs are converted into activities, outputs, outcomes, and goals. It is implied that the farmers had little knowledge of Likert items denoting tools in M&E. Therefore, simple and direct Likert items need to be chosen.
The purpose of the study was to examine how contingent capital influences the performance of hydroelectric energy projects in Kenya. The study was underpinned on pragmatism paradigm which allows the use of a mixed-method approach and descriptive correlational survey research design. Structured questionnaires and interview guides were used for the collection of quantitative and qualitative data from a sample size of 94 participants out of a target population of 94 subjects. A validity test was done on the instruments and a coefficient of 0.775 obtained using the Content Validity Index while reliability involved pretesting of the instruments amongst the 10% of the participants and Cronbach's alpha coefficient of 0.781 obtained. The analysis was done using both descriptive statistics of mean and standard deviation and inferential statistics of Correlation and Regression at a significance level of 0.05 with the aid of SPSS version 25 and thematic content analysis of qualitative data for triangulation. The hypothesis was tested using Simple linear regression and Pearson Correlation Coefficient models and the result was: H0: Contingent capital does not significantly influence the performance of hydroelectric energy projects in Kenya was rejected since P=0.000<0.05. Therefore, the study concluded that there is a significant influence of contingent capital on the performance of hydroelectric energy projects in Kenya. The study provides valuable knowledge on the effectiveness of contingent capital on the performance of hydroelectric energy projects for policy action and adoption by investors. It is recommended that Project management and policymakers should integrate Contingent capital to improve the performance of hydroelectric energy projects besides developing targeted policies for strengthening the implementation of contingent capital. Further research should be carried out on mechanisms of improving utilization of contingent capital in power projects in Kenya
The purpose of the study was to identify and rank the prevalence and severity of risk factors construction cost overrun in Public-Private Partnership projects using a case study of Sondu-Miriu Hydroelectric Power Project in Kisumu County, Kenya. This study adopted a descriptive design and collected quantitative data analysed quantitatively using descriptive statistics. In total, 85 persons were identified to have taken part in the management and implementation of the study from whom a sample size of 71 participants was obtained. Questionnaires were emailed to the participants providing details of the study and requesting their participation. The study ranked the risk factors based on prevalence and severity from most prevalently severe to least prevalently severe as design changes, emerging tasks affecting delivery, construction task breakdown structure, design variations and failure of contractors to complete different tasks. Thus, stakeholders should participate fully in the project from design to avoid design changes leading to cost overrun. During implementation, the contractor and construction manager should device mechanisms to anticipate changes in the political environment as such changes determines government policies and decisions affecting the project funding, design and scope.
The results of an evaluation should be used for the envisioned goal and the evaluation process and/or outcomes should be used in practice and decision making. This article presents research whose objective was to establish the extent to which stakeholder involvement in evaluations impacts the utilization of evaluation findings for program improvement. Guided by the pragmatic paradigm and supported by the Utilization-Focused Evaluation Model and Knowledge Use Theory, the researchers assumed a descriptive and correlational design using mixed methods. The sample size for this study was 232 project staff from Non-Governmental Organizations (NGOs) in Kisumu Central Sub-County, Kenya. To analyze qualitative data, the open-ended responses from key informant interviews were recorded and coded appropriately for further analysis for themes through content analysis and comparative analysis. Frequencies and percentages were calculated to describe the basic characteristics of the quantitative data. To ensure the validity and reliability of the research instruments, pilot testing was conducted. Cronbach’s alpha at ? = 0.908 was attained as the reliability coefficient of the pre-test instruments. Tests of statistical assumptions were carried out before data analysis to avoid invalidation. A hypothesis was tested at the ? = .05 level of significance and was rejected. The findings demonstrate that there is a significant relationship between stakeholder involvement in evaluations and the utilization of evaluation results. This research, therefore, reinforces literature and helps to understand the ways in which stakeholder involvement in evaluations influences the utilization of evaluation results. It informs the evaluation field of study, fills gaps in the evaluation use literature, and contributes to the appreciation of factors that predict and enhance the utilization of evaluation results
Donor agencies have heavily funded livelihood programs in Kilifi County but these projects struggle with sustainability with some dying immediately the funding is withdrawn. The objective of the study was to establish how to support service linkage strategy influence the sustainability of donor-funded livelihood projects in Kilifi County. The study was guided by Discovery Learning theory; Diffusion of Innovation theory; Lippitt’s theory of planned change; and Theory of Stakeholder Management. A descriptive correlational research design was used. A sample size of 170 was selected from a population of 295 from three livelihood projects using Slovin’s formula. 7 interviews and 3 focus group discussions were carried out. Prior to data analysis, statistical assumptions were tested. Standard deviations, standard error of means and arithmetic means were used for descriptive analysis while Pearson’s Product moment correlation and linear regression, F-tests, and t-tests were used for inferential analysis using statistical package for social sciences. The mean perception of sustainability did not differ significantly with projects (p=0.192), gender (p=0.669), age (p=0.724), and marital status (p=0.284). However, there was a significant difference in mean perception of the sustainability of donor-funded livelihood projects among the different groups based on the highest level of education attained (p=0.011) and duration of stay in the project (p=000162). H0, r=0.383, p=0.000027<0.05 was rejected and concluded that support service linkages significantly influenced the sustainability of donor-funded livelihood projects. Therefore, policies should be reviewed to provide an enabling environment and culture that will support access to support services such as affordable extension services, affordable and readily available credit, markets. Future studies should use simple and direct Likert items with diverse projects.
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 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |