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OpenAlex coverage 100.0% · 7/7 recordsLast OpenAlex observation 27 Oct 2026, 19:04 UTC
PUBLICATIONS7In the selected collection
CROSSREF CITATIONS127/7 with known counts
OPENALEX CITATIONS247/7 with known counts
OPENALEX MEAN3.43Per article with a known count
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

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2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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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

University of Nairobi77/7 records with data

Countries

Kenya77/7 records with data

Primary topics

Public-Private Partnership Projects2Evaluation and Performance Assessment2Construction Project Management and Performance17/7 records with data
Two perspectives on citations

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Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

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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

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2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Annual history: 7/7 articles. Latest history observation: 2026-10-27T19:04:29.053830+00:00. Source totals are never added together.
Research side by side

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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

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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
7 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS7
CROSSREF CITATIONS12
CROSSREF · CITED PUBLICATIONS85.7%
CROSSREF · MEAN CITATIONS1.71

Crossref citation coverage: 7 / 7 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 CITATIONS24
DOI MATCH COVERAGE100.0%7 / 7 publications
MEAN · KNOWN COUNTS ONLY3.437 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 22 Oct 2026 01:06 UTC — 27 Oct 2026 19:04 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–556–20121+0Unknown0

Institutions, countries & topics

OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.

Institutions

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Countries

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Primary topics

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 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): 2026-10-22T01:06:54.648309+00:00 — 2026-10-27T19:04:29.053830+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72021 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 7/72022 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 7/72023 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 7/72024 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 7/72025 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 7/72026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 7/7 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications077/7
2018All selected publications077/7
2019All selected publications077/7
2020All selected publications077/7
2021All selected publications277/7
2022All selected publications577/7
2023All selected publications477/7
2024All selected publications577/7
2025All selected publications577/7
2026All selected publications377/7

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 ↗

Crossref citation distribution

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

Mean1.71
Median1
No citations11–566–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Finance & Banking Studies
SSBFNET
1131/11.01100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
611216/61.831.583.36/6 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 7 →

Most cited · Crossref

JOURNAL ARTICLE

Market risk factors and performance of public private partnership renewable energy projects

Kenneth Otieno Odhiambo · Charles Rambo · Stephen Lucas Okelo

International Journal of Research in Business and Social Science · 2020

Read abstract

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

DOI 10.20525/ijrbs.v9i4.7675 Crossref citations7 OpenAlex citations
JOURNAL ARTICLE

Ranking the prevalence of construction cost overrun risk factors in completion of public-private partnership projects

Pamela Akinyi Oyieyo · Charles M Rambo · Anne Ndiritu

International Journal of Research in Business and Social Science · 2020

Read abstract

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.

DOI 10.20525/ijrbs.v9i5.8632 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Influence of support service linkage strategies on sustainability of donor funded livelihood projects in Kilifi County, Kenya

Cornel Likale Ndombi · Dorothy Ndunge Kyalo · Angeline Sabina Mulwa

International Journal of Research in Business and Social Science · 2020

Read abstract

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.

DOI 10.20525/ijrbs.v9i4.7712 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Credit Enhancement and Performance of Hydroelectric Energy Projects in Kenya

Amolo Elvis Juma Amolo · Charles Mallans Rambo · Charles Misiko Wafula

International Journal of Finance & Banking Studies · 2020

Read abstract

Renewable energy investment has been underexploited in Africa and Kenya in specific due to financing constraints arising from investor’s negative perception of the regions high investment risk and low creditworthiness which retards the degree of private capital penetration. The purpose of the study was to assess the extent to which Credit enhancement influence performance of hydroelectric energy projects in Kenya. The study was underpinned on pragmatism paradigm which allows the use of mixed method approach and descriptive correlational survey research design. Structured questionnaires and interview guide were used to collect quantitative and qualitative data from a sample size of 94 participants out of a target population of 94 subjects. Validity test was done on the instruments and a coefficient of 0.775 obtained using 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. Analysis was done using both descriptive statistic of mean and standard deviation and inferential statistic 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. Simple linear regression and Pearson Correlation Coefficient models were used to determine the influence between independent and dependent variable and the result H0: Credit enhancement does not significantly influence performance of hydroelectric energy projects in Kenya was rejected since P=0.000<0.05.Therefore the study concluded that there is significant influence of credit enhancement on performance of hydroelectric energy projects in Kenya. It is recommended that Project management and policy makers should integrate appropriate credit enhancement instruments to improve performance of hydroelectric energy projects besides developing targeted policies for strengthening implementation of the credit enhancement instruments to boost investors and lenders confidence. Further research should be carried out on the determinants influencing effective utilization of credit enhancement in power projects in Kenya.

DOI 10.20525/ijfbs.v9i4.8481 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Enhancing sustainability of donor funded livelihood projects in Kilifi County through effective monitoring and evaluation

Cornel Likale Ndombi · Dorothy Ndunge Kyalo · Angeline Sabina Mulwa

International Journal of Research in Business and Social Science · 2020

Read abstract

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.

DOI 10.20525/ijrbs.v9i6.8801 Crossref citations3 OpenAlex citations

Selected results

JOURNAL ARTICLE

Enhancing sustainability of donor funded livelihood projects in Kilifi County through effective monitoring and evaluation

Cornel Likale Ndombi · Dorothy Ndunge Kyalo · Angeline Sabina Mulwa

International Journal of Research in Business and Social Science · 2020

Read abstract

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.

DOI 10.20525/ijrbs.v9i6.8801 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Contingent capital and performance of hydroelectric energy projects in Kenya

Amolo Elvis Juma Amolo · Charles Mallans Rambo · Charles Misiko Wafula

International Journal of Research in Business and Social Science · 2020

Read abstract

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

DOI 10.20525/ijrbs.v9i6.8440 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Credit Enhancement and Performance of Hydroelectric Energy Projects in Kenya

Amolo Elvis Juma Amolo · Charles Mallans Rambo · Charles Misiko Wafula

International Journal of Finance & Banking Studies · 2020

Read abstract

Renewable energy investment has been underexploited in Africa and Kenya in specific due to financing constraints arising from investor’s negative perception of the regions high investment risk and low creditworthiness which retards the degree of private capital penetration. The purpose of the study was to assess the extent to which Credit enhancement influence performance of hydroelectric energy projects in Kenya. The study was underpinned on pragmatism paradigm which allows the use of mixed method approach and descriptive correlational survey research design. Structured questionnaires and interview guide were used to collect quantitative and qualitative data from a sample size of 94 participants out of a target population of 94 subjects. Validity test was done on the instruments and a coefficient of 0.775 obtained using 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. Analysis was done using both descriptive statistic of mean and standard deviation and inferential statistic 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. Simple linear regression and Pearson Correlation Coefficient models were used to determine the influence between independent and dependent variable and the result H0: Credit enhancement does not significantly influence performance of hydroelectric energy projects in Kenya was rejected since P=0.000<0.05.Therefore the study concluded that there is significant influence of credit enhancement on performance of hydroelectric energy projects in Kenya. It is recommended that Project management and policy makers should integrate appropriate credit enhancement instruments to improve performance of hydroelectric energy projects besides developing targeted policies for strengthening implementation of the credit enhancement instruments to boost investors and lenders confidence. Further research should be carried out on the determinants influencing effective utilization of credit enhancement in power projects in Kenya.

DOI 10.20525/ijfbs.v9i4.8481 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Ranking the prevalence of construction cost overrun risk factors in completion of public-private partnership projects

Pamela Akinyi Oyieyo · Charles M Rambo · Anne Ndiritu

International Journal of Research in Business and Social Science · 2020

Read abstract

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.

DOI 10.20525/ijrbs.v9i5.8632 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Examining stakeholder involvement in the evaluation process for program improvement

Edwin Ochieng Okul · Raphael Ondeko Nyonje

International Journal of Research in Business and Social Science · 2020

Read abstract

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

DOI 10.20525/ijrbs.v9i5.8351 Crossref citations5 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
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