CiteNScope — Scholarly Index & Analytics
Discover / Analytics RESEARCH INTELLIGENCE
CiteNScope / Analytics

Explore the evidence.
Understand the reach.

Research across participating journals · All insights follow your collection filters.

Compare journals ↗
OpenAlex coverage 100.0% · 19/19 recordsLast OpenAlex observation 23 Oct 2026, 07:27 UTC
PUBLICATIONS19In the selected collection
CROSSREF CITATIONS019/19 with known counts
OPENALEX CITATIONS419/19 with known counts
OPENALEX MEAN0.21Per article with a known count
Explore articles 19 →
Filter collection Publication years, search & more
Reset
topic: Construction Project Management and Performance Remove ×
Your research collection

Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

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

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

University of Kigali2University of Nairobi1Kenyatta University110/19 records with data

Countries

South Africa4Kenya3Rwanda210/19 records with data

Primary topics

Construction Project Management and Performance1919/19 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

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

View data & coverage
Annual history: 19/19 articles. Latest history observation: 2026-10-23T07:27:20.968386+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
19 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS19
CROSSREF CITATIONS0
CROSSREF · CITED PUBLICATIONS0.0%
CROSSREF · MEAN CITATIONS0.0

Crossref citation coverage: 19 / 19 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 CITATIONS4
DOI MATCH COVERAGE100.0%19 / 19 publications
MEAN · KNOWN COUNTS ONLY0.2119 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 07:27 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations151–546–20021+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

10 / 19 with data · 9 missing or unmatched. Percentages use all 19 selected publications.

Countries

10 / 19 with data · 9 missing or unmatched. Percentages use all 19 selected publications.

Primary topics

19 / 19 with data · 0 missing or unmatched. Percentages use all 19 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 19 / 19 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.

Annual-history observations (UTC): 2026-10-21T07:22:43.952830+00:00 — 2026-10-23T07:27:20.968386+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/192018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/192019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/192020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/192021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/192022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/192023 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 19/192024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 19/192025 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 19/192026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 19/19 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications01919/19
2018All selected publications01919/19
2019All selected publications01919/19
2020All selected publications01919/19
2021All selected publications01919/19
2022All selected publications01919/19
2023All selected publications11919/19
2024All selected publications11919/19
2025All selected publications21919/19
2026All selected publications01919/19

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.

Mean0.0
Median0
No citations191–506–20021+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 Business Ecosystem & Strategy
Bussecon International Academy
3003/30.000.03/3 · 100.0%
International Journal of Finance & Banking Studies
SSBFNET
110111/110.000.011/11 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
5035/50.000.05/5 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 19 →

Most cited · Crossref

JOURNAL ARTICLE

M&E Practices and Implementation of Road Construction Projects in Rwanda

Twagirumukiza Marie Ange · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

Recognizing that effective road infrastructure is vital for socioeconomic development, this research addressed the persistent challenges that hindered project execution, including delays, cost overruns, and compromised quality often linked to inadequate M&E practices. The study examined the influence of M&E practices on implementation of road construction projects in Musanze District, Rwanda with specific focus on M&E planning, M&E data utilization, and M&E digitalization on implementation of road construction projects. This study used the theory of change and constraints theory. The study employed descriptive survey and correlational research designs with questionnaire and interview for collecting data from a sample of 153 respondent out of 247 key stakeholders. The instruments were pretested in a pilot study involving 10% of the sample to ensure validity and reliability, achieving a Cronbach's alpha coefficient of 0.78. Descriptive and inferential statistics of correlation and regression were done at a significance level of 0.05 with thematic content analysis of qualitative data for triangulation. The findings revealed that road construction projects generally performed above average, with 68.6% of respondents confirming that projects were completed within budget, 69.9% stating that milestones were met on time, and 65.3% satisfied with the quality of materials and road quality. The hypotheses that M&E Planning, M&E Data Utilization, M&E Digitalization and M&E Capacity Building does not significantly influence the implementation of road construction projects were rejected as p = 0.000 < 0.05. In conclusion all four null hypotheses were rejected, demonstrating that M&E planning, data utilization, digitalization, and capacity building significantly influence the implementation of road construction projects. The study recommended enhancing community engagement, strengthening M&E planning, expanding digitalization efforts, prioritizing ongoing capacity building, and fostering a culture of data-driven decision-making. Suggestions for further studies included comparing M&E practices across infrastructure sectors such as water or energy projects, to identify cross-sectoral best practices and potential areas for improvement, exploring emerging technologies like AI and block chain, and analyzing the impact of national and regional policies on M&E practices.

DOI 10.20525/ijfbs.v14i3.39600 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Project Resource Management and Performance in Housing Construction Projects

Ndahiro Richard · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

The study investigates the effect of project resource management—including human, financial, material, and technological resources—on the performance of housing construction projects, with a case study of the One and Only Resort’s Staff Accommodation Project in Musanze District, Rwanda. Effective resource management is essential for optimizing project outcomes, yet Rwanda’s construction sector faces challenges such as workforce skill gaps and motivation issues that hinder efficiency. Grounded in the Resource-Based View Theory, Human Capital Theory, and Theory of Change, the research employed a descriptive and correlational design, targeting 308 stakeholders, including project managers, skilled laborers, administrative staff, and consultants. A sample of 174 participants was selected through stratified sampling, with data collected via questionnaires, interviews, and documentation. The instruments demonstrated strong validity (0.892) and reliability (0.803). Using SPSS version 28 for correlation and regression analysis at a 0.05 significance level, the study rejected all four null hypotheses (p = 0.000), confirming that human, financial, material, and technology resource management significantly enhance project performance. The findings underscore the importance of strategic resource allocation in improving construction efficiency and project success. The study recommends that project managers continuously refine resource management strategies to optimize outcomes and suggests future research on the role of risk management in housing construction projects. This research provides valuable insights into resource optimization in Rwanda’s construction sector, offering practical guidance for enhancing housing project performance through effective resource management. 

DOI 10.20525/ijfbs.v14i2.39790 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Impact of Participatory Project Management on Agricultural Project Performance

Igirimbabazi Flavien · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

Participatory project management practices have gained significant attention within the agricultural sector, reflecting a broader global trend toward engaging diverse stakeholders in planning, execution, and evaluation of projects, However, despite the recognized benefits of such practices, agricultural projects in Rwanda still encounter significant challenges related to stakeholder engagement and local participation. The study sought to assess participatory project management practices influence on performance of agricultural projects in Musanze district, Rwanda with focus on participatory planning, implementation, and M&E. The research was guided by the Stakeholder Theory, Social Capital Theory, and Goal Setting Theory, which offered a structured approach to understanding how participatory practices impact agricultural project outcomes. The research employed descriptive and correlational designs. The target population for this study consisted of 465 population divided into four categories: 10 project managers, 83 project staff and team members, 298 beneficiaries’ representatives, and 74 community leaders. Using Slovin’s formula, the sample size was calculated to be 215 participants, ensuring that the study's findings accurately represented the population. Descriptive statistics and inferential statistics like correlation and regression analysis were applied. Data were analyzed using SPSS version 25 on descriptive and inferential statistics of Bivariate Correlation and regression analysis. For the study on TUBURA Project, a pre-test was conducted on 10% of the sample size equal to 22 respondents, including project managers and staff to assess the effectiveness of the questionnaire. A validity index of 0.8 was obtained while the Cronbach's alpha coefficient of reliability was 0.83, which exceeds the minimum acceptable reliability threshold of 0.70. The findings for the hypotheses at ?=.05 level of significance that: there is no significant influence of participatory planning, execution and M&E on performance of agricultural projects was rejected since P=0.000<0.05. All predictors show statistically significant effects on performance, with p-values less than 0.05. The study recommends that management of TUBURA Project should enhance participatory planning by organizing regular community meetings, ensuring local input in decision-making, and making planning documents easily accessible to stakeholders for increased transparency and accountability. Future research should investigate the socio-economic impacts of participatory methods on beneficiaries of agricultural projects. 

DOI 10.20525/ijfbs.v14i2.39590 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Stakeholder Engagement Strategies on Agricultural Project Performance

Bazigama Aphrodis Ufitimfura · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

Stakeholder engagement is a critical determinant of project success, with ineffective strategies contributing to failures worldwide. Despite some progress, research remains scarce on the specific strategies contributing to sustainable outcomes in Rwanda.  The purpose of the study was to assess the effect of stakeholders' engagement strategies on performance of agricultural projects in Rutsiro District, Rwanda: A Case of KOICA Project. The Specific objectives of the study include: To assess the effect of collaboration, involvement, empowerment and consultation strategy on performance of agricultural projects in Rutsiro District, Rwanda. The study was grounded on Stakeholder Theory. The study used descriptive and correlational research design. The target population includes 2,179 stakeholders from KOICA, with a sample size of 338 respondents. The pilot study aimed to enhance the validity and reliability of the research tools by pre-testing the questionnaire and interview guide with 34 respondents, representing 10% of the sample size. Validity was confirmed through expert evaluation, yielding a content validity index of 0.89 while Reliability was established using the split-half technique, achieving a Cronbach’s alpha coefficient of 0.84, demonstrating the instruments' consistency and appropriateness for data collection. Descriptive statistics of percentage, frequency, mean and standard deviation and inferential statistics of Correlation and Regression were done at a significance level of 0.05 using SPSS version 28 while thematic content analysis of qualitative data was done for triangulation. The findings for four hypotheses were tested at ?=.05 level of significance and the results were: Collaboration Strategy (P=0.000<0.05), Involvement Strategy (P=0.000<0.05), Empowerment Strategy (P=0.000<0.05) and, Consultation Strategy (P=0.000<0.05) on Performance of Agricultural Projects were rejected. The study concludes that the performance of agricultural projects in Rutsiro District is significantly influenced by collaboration, involvement, empowerment, and consultation strategies. To enhance project outcomes, the study recommends developing structured frameworks for resource sharing, fostering participatory decision-making, expanding capacity-building programs, and strengthening feedback mechanisms to improve stakeholder engagement and inclusivity. 

DOI 10.20525/ijfbs.v14i2.40210 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Project Management Practices and the Implementation of Innovative Medical Drone Delivery Systems

Niyonshuti Francois · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

The Zipline medical drone delivery project in Rwanda exemplifies how innovative logistics can transform healthcare access by ensuring rapid and reliable delivery of blood, vaccines, and other critical supplies to remote areas. While such projects enhance healthcare efficiency and save lives, their success depends on effective project management practices, including human resource management, stakeholder coordination, risk mitigation, and communication strategies. This study examined the influence of these factors on the implementation of the Zipline project, using a descriptive and correlational research design grounded in Systems Theory and Innovation Diffusion Theory. The research involved 65 key stakeholders, including project managers, engineers, healthcare providers, and government officials, with data collected through questionnaires, interviews, and document reviews. The results demonstrated that human resource management significantly impacts project success (p = 0.000), emphasizing the need for skilled personnel and efficient team coordination. Stakeholder management also played a critical role (p = 0.000), highlighting the importance of collaboration among government agencies, healthcare providers, and local communities. Additionally, proactive risk management (p = 0.000) was essential for addressing operational challenges, while effective communication (p = 0.000) ensured clarity and alignment among all parties. These findings underscore the interconnectedness of these management practices in achieving timely and efficient medical supply delivery. The study recommends further research into the long-term sustainability and scalability of such projects, considering regional and cultural factors that may influence their success. By addressing these key management dimensions, similar initiatives can be optimized to maximize their impact on healthcare systems, particularly in underserved regions. The insights from this research provide valuable guidance for policymakers and project implementers seeking to leverage drone technology and other innovations to improve global healthcare delivery. 

DOI 10.20525/ijfbs.v14i2.40220 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

M&E Practices and Implementation of Road Construction Projects in Rwanda

Twagirumukiza Marie Ange · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

Recognizing that effective road infrastructure is vital for socioeconomic development, this research addressed the persistent challenges that hindered project execution, including delays, cost overruns, and compromised quality often linked to inadequate M&E practices. The study examined the influence of M&E practices on implementation of road construction projects in Musanze District, Rwanda with specific focus on M&E planning, M&E data utilization, and M&E digitalization on implementation of road construction projects. This study used the theory of change and constraints theory. The study employed descriptive survey and correlational research designs with questionnaire and interview for collecting data from a sample of 153 respondent out of 247 key stakeholders. The instruments were pretested in a pilot study involving 10% of the sample to ensure validity and reliability, achieving a Cronbach's alpha coefficient of 0.78. Descriptive and inferential statistics of correlation and regression were done at a significance level of 0.05 with thematic content analysis of qualitative data for triangulation. The findings revealed that road construction projects generally performed above average, with 68.6% of respondents confirming that projects were completed within budget, 69.9% stating that milestones were met on time, and 65.3% satisfied with the quality of materials and road quality. The hypotheses that M&E Planning, M&E Data Utilization, M&E Digitalization and M&E Capacity Building does not significantly influence the implementation of road construction projects were rejected as p = 0.000 < 0.05. In conclusion all four null hypotheses were rejected, demonstrating that M&E planning, data utilization, digitalization, and capacity building significantly influence the implementation of road construction projects. The study recommended enhancing community engagement, strengthening M&E planning, expanding digitalization efforts, prioritizing ongoing capacity building, and fostering a culture of data-driven decision-making. Suggestions for further studies included comparing M&E practices across infrastructure sectors such as water or energy projects, to identify cross-sectoral best practices and potential areas for improvement, exploring emerging technologies like AI and block chain, and analyzing the impact of national and regional policies on M&E practices.

DOI 10.20525/ijfbs.v14i3.39600 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The impact of skills development on construction claims management effectiveness and resolution

Dikeledi Anna Matseke · Nthatisi Khaleli

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

The study investigates the impact of skills and concomitant competencies in enhancing claims management in order to ameliorate disputes in the South African construction industry. By evaluating the role of various skills and abilities, the study provided significant insights for optimizing claims management methods and enhancing project outcomes. The study adopted a mixed-method approach, combining a content analysis of industry reports, and legal precedents relating to construction claims management and skills development. Additionally, structured interviews and surveys were undertaken with key stakeholders in the construction sector. A total of eleven interviews and ninety-three (93) complete responses were retrieved from respondents including contractors, subcontractors, project managers, legal experts, and industry associations. These interviews and surveys attempt to obtain qualitative and quantitative data on the impact of skills on claims management procedures, including competency levels, training experiences, problems faced, and perceived outcomes. study underlines the need for investing in training and development programs to alleviate skills shortages and build a culture of competence among construction professionals. The conversation discussed the possible role of technology in complementing abilities and improving claims management efficiency. It is recommended that recognizing the crucial link between skills and claims management effectiveness, stakeholders may apply measures to limit risks, improve procedures, and ultimately increase successful project outcomes in the construction industry.

DOI 10.36096/ijbes.v7i3.8080 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

How far in business performance are Gauteng construction SMMEs from applicable best practices?

Simphiwe Ramildo Mbatha · Ramathabathe Mamelang Molaba · Gomolemo Rakale · Solly Matshonisa Seeletse

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Small, Micro- and Medium Enterprises (SMMEs) play a significant role in most world economies, particularly in developing countries. South Africa’s SMMEs demonstrate a high failure rate and do not seem to match the performances of applicable best practices. Regarding construction SMMEs, these issues are particularly noticeable. This study wants to investigate the level of performance of SMMEs in the construction industry of the Gauteng Province in South Africa as compared to SADC and best practices by addressing the research question, “To what extent do Gauteng construction SMMEs deviate from global best practice and SADC measures in terms of performance metrics?”, using regional and global lenses. The study design was cross-sectional qualitative based on secondary data. The targeted study population consisted of registered Gauteng construction SMMEs, and SADC and global best practices benchmarks were used for measuring these performances. The study found the Gauteng construction SMMEs were not engaging in social responsibility, and were lacking the most in business results, policy and strategy, processes, and in people management.

DOI 10.36096/ijbes.v7i3.8130 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Project Resource Management and Performance in Housing Construction Projects

Ndahiro Richard · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

The study investigates the effect of project resource management—including human, financial, material, and technological resources—on the performance of housing construction projects, with a case study of the One and Only Resort’s Staff Accommodation Project in Musanze District, Rwanda. Effective resource management is essential for optimizing project outcomes, yet Rwanda’s construction sector faces challenges such as workforce skill gaps and motivation issues that hinder efficiency. Grounded in the Resource-Based View Theory, Human Capital Theory, and Theory of Change, the research employed a descriptive and correlational design, targeting 308 stakeholders, including project managers, skilled laborers, administrative staff, and consultants. A sample of 174 participants was selected through stratified sampling, with data collected via questionnaires, interviews, and documentation. The instruments demonstrated strong validity (0.892) and reliability (0.803). Using SPSS version 28 for correlation and regression analysis at a 0.05 significance level, the study rejected all four null hypotheses (p = 0.000), confirming that human, financial, material, and technology resource management significantly enhance project performance. The findings underscore the importance of strategic resource allocation in improving construction efficiency and project success. The study recommends that project managers continuously refine resource management strategies to optimize outcomes and suggests future research on the role of risk management in housing construction projects. This research provides valuable insights into resource optimization in Rwanda’s construction sector, offering practical guidance for enhancing housing project performance through effective resource management. 

DOI 10.20525/ijfbs.v14i2.39790 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Stakeholder Engagement Strategies on Agricultural Project Performance

Bazigama Aphrodis Ufitimfura · Amolo Elvis Juma Amolo

International Journal of Finance & Banking Studies · 2025

Read abstract

Stakeholder engagement is a critical determinant of project success, with ineffective strategies contributing to failures worldwide. Despite some progress, research remains scarce on the specific strategies contributing to sustainable outcomes in Rwanda.  The purpose of the study was to assess the effect of stakeholders' engagement strategies on performance of agricultural projects in Rutsiro District, Rwanda: A Case of KOICA Project. The Specific objectives of the study include: To assess the effect of collaboration, involvement, empowerment and consultation strategy on performance of agricultural projects in Rutsiro District, Rwanda. The study was grounded on Stakeholder Theory. The study used descriptive and correlational research design. The target population includes 2,179 stakeholders from KOICA, with a sample size of 338 respondents. The pilot study aimed to enhance the validity and reliability of the research tools by pre-testing the questionnaire and interview guide with 34 respondents, representing 10% of the sample size. Validity was confirmed through expert evaluation, yielding a content validity index of 0.89 while Reliability was established using the split-half technique, achieving a Cronbach’s alpha coefficient of 0.84, demonstrating the instruments' consistency and appropriateness for data collection. Descriptive statistics of percentage, frequency, mean and standard deviation and inferential statistics of Correlation and Regression were done at a significance level of 0.05 using SPSS version 28 while thematic content analysis of qualitative data was done for triangulation. The findings for four hypotheses were tested at ?=.05 level of significance and the results were: Collaboration Strategy (P=0.000<0.05), Involvement Strategy (P=0.000<0.05), Empowerment Strategy (P=0.000<0.05) and, Consultation Strategy (P=0.000<0.05) on Performance of Agricultural Projects were rejected. The study concludes that the performance of agricultural projects in Rutsiro District is significantly influenced by collaboration, involvement, empowerment, and consultation strategies. To enhance project outcomes, the study recommends developing structured frameworks for resource sharing, fostering participatory decision-making, expanding capacity-building programs, and strengthening feedback mechanisms to improve stakeholder engagement and inclusivity. 

DOI 10.20525/ijfbs.v14i2.40210 Crossref citations0 OpenAlex citations

Data coverage & freshness

Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.

Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →