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% · 8/8 recordsLast OpenAlex observation 22 Oct 2026, 06:43 UTC
PUBLICATIONS8In the selected collection
CROSSREF CITATIONS168/8 with known counts
OPENALEX CITATIONS278/8 with known counts
OPENALEX MEAN3.38Per article with a known count
Explore articles 8 →
Filter collection Publication years, search & more
Reset
institution: Kenyatta University 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

Kenyatta University8Karatina University1Pan Africa Christian University18/8 records with data

Countries

Kenya8Uganda18/8 records with data

Primary topics

Innovation and Knowledge Management1Corporate Finance and Governance1Financial Markets and Investment Strategies18/8 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: 8/8 articles. Latest history observation: 2026-10-22T06:43:00.647492+00:00. Source totals are never added together.
Research side by side

Compare journals

Compare across all 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 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
8 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS8
CROSSREF CITATIONS16
CROSSREF · CITED PUBLICATIONS62.5%
CROSSREF · MEAN CITATIONS2.0

Crossref citation coverage: 8 / 8 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 CITATIONS27
DOI MATCH COVERAGE100.0%8 / 8 publications
MEAN · KNOWN COUNTS ONLY3.388 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1.5

Observation range: 22 Oct 2026 00:49 UTC — 22 Oct 2026 06:43 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–556–20221+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.

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 8 / 8 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 — 2026-10-22T06:43:00.647492+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

63.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 8/82018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 8/82019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 8/82020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 8/82021 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 8/82022 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 8/82023 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 8/82024 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 8/82025 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 8/82026 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 8/8 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications088/8
2018All selected publications088/8
2019All selected publications088/8
2020All selected publications088/8
2021All selected publications188/8
2022All selected publications588/8
2023All selected publications688/8
2024All selected publications688/8
2025All selected publications388/8
2026All selected publications688/8

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.

Mean2.0
Median1.0
No citations31–546–20121+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 Research in Business and Social Science
SSBFNET
816278/82.01.062.58/8 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 8 →

Most cited · Crossref

JOURNAL ARTICLE

The conceptualization of dynamic resource orchestration framework as an anchor for organizational resilience

Eltigani Ahmed · James Kilika · Clare Gakenia

International Journal of Research in Business and Social Science · 2021

Read abstract

The objective of this paper was to present a dynamic resource orchestration framework as a source of organizational resilience through blended orchestration of the firm's dynamic and static resources to generate sustained value during disruptive shocks. We adopted an integrative literature review methodology and proposed a dynamic resource orchestration framework as a managerial option to create and sustain firm value. Conceptually, a dynamic resource orchestration framework was presented as the integration of firm resources and managerial capability. We proposed dynamic resource orchestration as a model input impacting organizational resilience through the combined effects of resource accumulation, resource orchestration, and managerial capabilities. Through a thorough examination of the literature production anchored on dynamic capabilities framework and organizational resilience, we advanced a perspective that the ultimate source of combined firm resilience and sustainable competitive advantage does not necessarily accrue from the resources at a firm's disposal but by how management dynamically blends and orchestrates the existing resources, thereby creating an optimal source of capability. Our proposed conceptualization was based on the assumption that dynamic capabilities are part of firm resources and, therefore, strategic orchestration of dynamic capabilities leads to superior firm resourcefulness and consequential sustained resilience. We identified gaps and proposed directions for future research.

DOI 10.20525/ijrbs.v10i7.14198 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

Demographic factors and turnover intentions of teachers in public secondary schools in Kenya

Onesmus Kamau · Stephen Muathe · Lawrence Wainaina

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to investigate the effect of demographic factors on the turnover intentions of teachers in public secondary schools in Murang’a county Kenya. The study was guided by the following specific objectives: To investigate the association between age and education and turnover intentions; to establish the association between gender and turnover intentions; to determine the association between tenure and turnover intentions and to establish the association between educational level and turnover intentions. The study was guided by the Social exchange and Organization equilibrium theories.  This study was a cross-sectional study and adopted descriptive and explanatory research designs. The target population was 3752 Teachers Service Commission (TSC) teachers in 304 public secondary schools in Murang’a county Kenya.  The study thus used multi-stage random to select a sample size of 400 teachers and 40 schools. A self-administered questionnaire was used to collect the demographic data. Data were analyzed using cross-tabulation and Pearson Chi-square statistics.   The study findings indicated that age has a significant association with turnover intentions while employee tenure, gender, and educational level have no significant association with turnover intentions.

DOI 10.20525/ijrbs.v10i4.9844 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Covid-19 financial distancing for MSMEs in Kenya

Nathan Mwenda Mutwiri

International Journal of Research in Business and Social Science · 2021

Read abstract

The Micro Small and Medium Enterprises (MSMEs) are important for every nation’s economic development. They provide employment and spur the growth of multiple sectors in the economy.  The Covid-19 pandemic has negatively affected MSMEs' performance. The study seeks to demonstrate why COVID 19 may lead to the terminal quarantining of MSMEs. The study is anchored on decision usefulness and information asymmetry theories. The study adopted a descriptive research methodology and sampled MSMEs within Nairobi City County. The study used SPSS to analyze data in addition to Microsoft excel. The study found that over 70% of MSMEs had their sales decline by over 65% while 95% of them had their sales decline by over 30%. The study found that about 68% of MSMEs lacked financial management skills. The study recommends that with legal and institutional reforms, the government needs to develop a financing framework for MSMEs.  

DOI 10.20525/ijrbs.v10i3.11102 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Exploring the role of inspirational motivation to institutions of higher learning

Janet Muthimi · James Kilika · Godfrey Kinyua

International Journal of Research in Business and Social Science · 2021

Read abstract

Organizations are experiencing increased challenges due to changed environmental circumstances that threaten their survival including institutions of higher learning. There is therefore a growing concern for universities to be strategically aligned so as to meet the growing challenges of the societies in which they operate by creating ecosystems that drive industrialization through the generation of new knowledge, technology transfer and support of new start-ups. Additionally, concerns have been raised as regards the quality and relevance of services offered by the universities in Kenya. Owing to these limitations, there is a need for the higher education sector to consider inspirational motivation practices between the leaders and their followers so as to enhance performance. This study, therefore, sought to establish the effect of inspirational motivation on the academic performance of selected universities in Kenya. The study was anchored on transformational leadership theory. Positivism research philosophy was adopted where explanatory and descriptive research designs were used for guiding the collection and analysis of data. Primary data was collected from deans of schools and chairmen of departments in the selected universities. The study established a significant positive effect of inspirational motivation on academic performance of universities at p<0.05; t=8.057 and hence concluded that inspirational motivation positively affects university academic performance of selected universities in Kenya.

DOI 10.20525/ijrbs.v10i4.12341 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Capital structure, market conditions and financial performance of small and medium enterprises in Buganda Region, Uganda

Henry Mugisha · Job Omagwa · James Kilika

International Journal of Research in Business and Social Science · 2021

Read abstract

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

DOI 10.20525/ijrbs.v10i3.11531 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

The conceptualization of dynamic resource orchestration framework as an anchor for organizational resilience

Eltigani Ahmed · James Kilika · Clare Gakenia

International Journal of Research in Business and Social Science · 2021

Read abstract

The objective of this paper was to present a dynamic resource orchestration framework as a source of organizational resilience through blended orchestration of the firm's dynamic and static resources to generate sustained value during disruptive shocks. We adopted an integrative literature review methodology and proposed a dynamic resource orchestration framework as a managerial option to create and sustain firm value. Conceptually, a dynamic resource orchestration framework was presented as the integration of firm resources and managerial capability. We proposed dynamic resource orchestration as a model input impacting organizational resilience through the combined effects of resource accumulation, resource orchestration, and managerial capabilities. Through a thorough examination of the literature production anchored on dynamic capabilities framework and organizational resilience, we advanced a perspective that the ultimate source of combined firm resilience and sustainable competitive advantage does not necessarily accrue from the resources at a firm's disposal but by how management dynamically blends and orchestrates the existing resources, thereby creating an optimal source of capability. Our proposed conceptualization was based on the assumption that dynamic capabilities are part of firm resources and, therefore, strategic orchestration of dynamic capabilities leads to superior firm resourcefulness and consequential sustained resilience. We identified gaps and proposed directions for future research.

DOI 10.20525/ijrbs.v10i7.14198 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

The role of incubator classification on performance of incubators in Kenya.

Miriti Jane Kinya · Kenneth Lawrance Wanjau · Nyagweth Ebenezer Odeyo

International Journal of Research in Business and Social Science · 2021

Read abstract

The study sought to assess the importance of classifying incubators based on the programs offered for optimum performance. Client selection criteria were assessed through three constructs namely: models that fit program goals, uniqueness of ideas, and standard selection tool. A mixed cross-sectional and causal design was adopted and a census was carried out targeting all the 51 incubators. Primary data was collected with an incubator program as a grouping/ cluster variable yielding a multilevel data structure with incubator centres nested in programs. Linear mixed effect models were fitted using Stata to assess the study objective taking into account the fixed effects for the incubator centre level (level-1) and random effects for the program level (level-2). The uniqueness of ideas was found to have a significant fixed effect on performance at level one while at level two, the study found significant random intercepts of incubator centre performance across the programs. Models that match program goals and standard selection tools were also found to have significant random slopes as level two random covariates in the model. Based on the findings of significant random slopes, the study concluded that incubator classification is key for client selection criteria and enhances incubator performance.

DOI 10.20525/ijrbs.v10i6.12990 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Relationship lending and access to financial services by SMEs in Kenya

Edward Kiring'a · Fredrick W.S. Ndede · Argan Wekesa

International Journal of Research in Business and Social Science · 2021

Read abstract

Policymakers and scholars acknowledge the significance of small and medium enterprises in stirring the economic growth and development in developing and developed economies. In spite of the generally fast pace by which access to financial services for small and medium enterprises is being established, significant segments of the small and medium enterprises sector do not yet benefit from the expansion. This study, therefore, investigated the effect of relationship lending on access to financial services by small and medium enterprises in Kenya. The study was based on credit rationing theory and information asymmetry theory. The target population comprised 4,253 small and medium enterprises in Kenya. A sample size of 366 SMEs was used by the study. The study adopted a multistage sampling technique to obtain the SME respondents. Primary data was utilized and was acquired through semi-structured questionnaires. Data were analyzed using descriptive and inferential statistics utilizing Heckman two-stage regression model. The study findings showed that relationship lending had a positive and significant effect on access to financial services among SMEs in Kenya. The study concluded that relationship lending plays a critical role in access to financial services by SMEs in Kenya. The study recommends that SMEs owners should strive to meet the terms and conditions provided by lending institutions in their various financing practices while management of the lending institutions should adopt financing practices favorable to SMEs to increase their access to financial services.

DOI 10.20525/ijrbs.v10i5.12420 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Exploring the role of inspirational motivation to institutions of higher learning

Janet Muthimi · James Kilika · Godfrey Kinyua

International Journal of Research in Business and Social Science · 2021

Read abstract

Organizations are experiencing increased challenges due to changed environmental circumstances that threaten their survival including institutions of higher learning. There is therefore a growing concern for universities to be strategically aligned so as to meet the growing challenges of the societies in which they operate by creating ecosystems that drive industrialization through the generation of new knowledge, technology transfer and support of new start-ups. Additionally, concerns have been raised as regards the quality and relevance of services offered by the universities in Kenya. Owing to these limitations, there is a need for the higher education sector to consider inspirational motivation practices between the leaders and their followers so as to enhance performance. This study, therefore, sought to establish the effect of inspirational motivation on the academic performance of selected universities in Kenya. The study was anchored on transformational leadership theory. Positivism research philosophy was adopted where explanatory and descriptive research designs were used for guiding the collection and analysis of data. Primary data was collected from deans of schools and chairmen of departments in the selected universities. The study established a significant positive effect of inspirational motivation on academic performance of universities at p<0.05; t=8.057 and hence concluded that inspirational motivation positively affects university academic performance of selected universities in Kenya.

DOI 10.20525/ijrbs.v10i4.12341 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Demographic factors and turnover intentions of teachers in public secondary schools in Kenya

Onesmus Kamau · Stephen Muathe · Lawrence Wainaina

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to investigate the effect of demographic factors on the turnover intentions of teachers in public secondary schools in Murang’a county Kenya. The study was guided by the following specific objectives: To investigate the association between age and education and turnover intentions; to establish the association between gender and turnover intentions; to determine the association between tenure and turnover intentions and to establish the association between educational level and turnover intentions. The study was guided by the Social exchange and Organization equilibrium theories.  This study was a cross-sectional study and adopted descriptive and explanatory research designs. The target population was 3752 Teachers Service Commission (TSC) teachers in 304 public secondary schools in Murang’a county Kenya.  The study thus used multi-stage random to select a sample size of 400 teachers and 40 schools. A self-administered questionnaire was used to collect the demographic data. Data were analyzed using cross-tabulation and Pearson Chi-square statistics.   The study findings indicated that age has a significant association with turnover intentions while employee tenure, gender, and educational level have no significant association with turnover intentions.

DOI 10.20525/ijrbs.v10i4.9844 Crossref citations6 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 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →