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% · 4/4 recordsLast OpenAlex observation 22 Oct 2026, 02:22 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS54/4 with known counts
OPENALEX CITATIONS124/4 with known counts
OPENALEX MEAN3.0Per article with a known count
Explore articles 4 →
Filter collection Publication years, search & more
Reset
topic: Entrepreneurship Studies and Influences 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

Karatina University2Universitas Informatika dan Bisnis Indonesia13/4 records with data

Countries

Kenya2Indonesia13/4 records with data

Primary topics

Entrepreneurship Studies and Influences44/4 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: 4/4 articles. Latest history observation: 2026-10-22T02:22:59.479824+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 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
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS5
CROSSREF · CITED PUBLICATIONS75.0%
CROSSREF · MEAN CITATIONS1.25

Crossref citation coverage: 4 / 4 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 CITATIONS12
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY3.04 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3.5

Observation range: 22 Oct 2026 01:41 UTC — 22 Oct 2026 02:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–546–20021+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

3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.

Countries

3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 4 / 4 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): 2026-10-22T01:41:59.145135+00:00 — 2026-10-22T02:22:59.479824+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

31.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications044/4
2019All selected publications344/4
2020All selected publications044/4
2021All selected publications344/4
2022All selected publications044/4
2023All selected publications344/4
2024All selected publications244/4
2025All selected publications044/4
2026All selected publications144/4

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.

Mean1.25
Median1.0
No citations11–536–20021+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 Research in Business and Social Science
SSBFNET
45124/41.251.075.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

An Investigation on Entrepreneurial Competencies of Creative Industry in Bandung, Indonesia

Bob Foster

International Journal of Research in Business and Social Science · 2018

Read abstract

The previous research reveals the significant influence of entrepreneurial competencies on entrepreneur's performance. This finding indicates that there should be further exploration of entrepreneurial competencies. This study aims to determine the entrepreneurial competencies regarding the process. Moreover, this research uses the quantitative approach with non-parametric structural equation modeling. The population of this study is the creative industry in Bandung. The research samples are 119 entrepreneurs in the creative industry. This study finds that some competencies are the components that create the entrepreneurial competencies of creative industries entrepreneurs in Bandung. The components are Relationship Competencies, Opportunity Competencies, Strategic Competencies, Human Competencies and Personal Strength Competencies. The research implication recommends increasing the value of the creator's components of entrepreneurial competencies.  Hence, they have implications on the performance of MSMEs in the sector of creative industry in Bandung.

DOI 10.20525/ijrbs.v7i3.8693 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Performance of Incubator Centres in Kenya

Jane Gathiga Muriithi · Kenneth Wanjau · Humphrey Omondi

International Journal of Research in Business and Social Science · 2018

Read abstract

Globally, countries are strategically positioning themselves for market leadership due to dynamic business environment. Entrepreneurial spirit is seen as the strategy that will deliver this agenda.  This spirit, is believed to be behind the innovative business that revolutionizes the business world. In a dynamic and complex environment, the success of any business is pegged on the entrepreneurial operations of a firm.  Entrepreneurial-oriented firms have been proven to be ahead of competition because they are always introduced new products and services and in turn improve their financial results. Scholars believe that learning and development can occur amongst people who actively engage in a common enterprise. This makes learning empowering and productive and thus sustains entrepreneurial orientation. This in turn produces communities of entrepreneurial practice. The role of the entrepreneurial manager is to nurture communities of growth-oriented firms where entrepreneurial learning takes place. The purpose of this study is to assess the relationship between entrepreneurial management and performance of incubator centres in Kenya. The study used a correlation design because it focused on a causal-effect relationship. The study population was 41 incubator managers in Kenya. After missing data analysis two respondents were expunged leaving 39 respondents. Secondary data was obtained from published sources such as company reports, manuals and research done by other scholars. Structural Equation Modelling (SEM) approach was used to analyze the measurement model and test the hypothesized relationship in this study.  Simple linear regression model was used to measure the strength of the relationship between entrepreneurial management and performance incubator centre in Kenya. The joint effect model results indicated that entrepreneurial management had a significant relationship with performance of incubator centre.

DOI 10.20525/ijrbs.v7i1.8591 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Client Selection Criteria and Performance of Incubator Centers in Kenya

Miriti Jane Kinya · Kenneth L Wanjau · Humphrey R Omondi

International Journal of Research in Business and Social Science · 2018

Read abstract

Business incubators are regarded as entrepreneurial hubs, unleashing entrepreneur’s ideas and businesses into the market, in turn, jobs are created and the economy of the area is improved. Due to the stiff competition for placement into an incubator program it is imperative for incubator management come-up with strategies of being more efficient and effective in utilizing resources to achieve superior performance. Hence the need to critically select clients, whose ideas fit the incubator’s mission and upon graduation create high growth businesses, with a higher survival rate of 90%. The study is anchored on Resource Based Theory. The study used a correlation design that focused on causal relationship of client selection criteria and incubator centre performance (ICP). The study population was 41 incubator managers in Kenya. After missing data analysis two respondents were expunged leaving 39 respondents. Secondary data was obtained from published sources such as company reports, manuals and research done by other scholars. Structural Equation Modelling (SEM) approach was used to analyze the measurement model and test the hypothesized relationship in this study. Simple linear regression model was used to measure the strength of the relationship between client selection criteria and performance incubator centre in Kenya. The results of the combined effect model indicated that client selection criteria had a significant relationship with performance of incubator centres.

DOI 10.20525/ijrbs.v7i1.8571 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Operations Management and Performance of Manufacturing Small and Medium Enterprises in Kenya

Mwamisha D Mkala · Kenneth L Wanjau · Teresia N Kyalo

International Journal of Research in Business and Social Science · 2018

Read abstract

Manufacturing small and medium enterprises (SMEs) are the breeding ground for human capital competencies, creativity and innovation, which are important inputs for manufacturing competitiveness. In Kenya, manufacturing SMEs contribute 14% of gross domestic product (GDP), and train and employ 30% of the workforce. However, their growth and competitiveness are undermined by challenges in the firms’ operations management. Consequently, the firms struggle to survive as competitive enterprises, both domestically and globally. The purpose of this study was to establish how entrepreneurial orientation (EO) enhances the relationship between operations management and firm performance. Quantitative primary data were collected from managers of 83 firms registered by the Kenya Association of Manufacturers in the food and beverage sub-sector using a self-administered questionnaire. Structural equation modelling was used to analyse the data for relationships between the study variables. The study found a positive relationship between operations management and EO, and between EO and firm performance. The study also found that EO is a mediator of the relationship between operations management and performance of manufacturing SMEs in Kenya. The study recommends that for manufacturing SMEs to effectively deploy operations management competencies and gain global competitiveness, they must engage EO as a strategy to foment organisational experimentation and exploration and commercialize the resultant innovations. At the macroeconomic level, the government should support manufacturing SMEs through enactment and promotion of policies that enable operations managers to exploit their firm’s EO stock.

DOI 10.20525/ijrbs.v7i2.8610 Crossref citations4 OpenAlex citations

Selected results

JOURNAL ARTICLE

An Investigation on Entrepreneurial Competencies of Creative Industry in Bandung, Indonesia

Bob Foster

International Journal of Research in Business and Social Science · 2018

Read abstract

The previous research reveals the significant influence of entrepreneurial competencies on entrepreneur's performance. This finding indicates that there should be further exploration of entrepreneurial competencies. This study aims to determine the entrepreneurial competencies regarding the process. Moreover, this research uses the quantitative approach with non-parametric structural equation modeling. The population of this study is the creative industry in Bandung. The research samples are 119 entrepreneurs in the creative industry. This study finds that some competencies are the components that create the entrepreneurial competencies of creative industries entrepreneurs in Bandung. The components are Relationship Competencies, Opportunity Competencies, Strategic Competencies, Human Competencies and Personal Strength Competencies. The research implication recommends increasing the value of the creator's components of entrepreneurial competencies.  Hence, they have implications on the performance of MSMEs in the sector of creative industry in Bandung.

DOI 10.20525/ijrbs.v7i3.8693 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Operations Management and Performance of Manufacturing Small and Medium Enterprises in Kenya

Mwamisha D Mkala · Kenneth L Wanjau · Teresia N Kyalo

International Journal of Research in Business and Social Science · 2018

Read abstract

Manufacturing small and medium enterprises (SMEs) are the breeding ground for human capital competencies, creativity and innovation, which are important inputs for manufacturing competitiveness. In Kenya, manufacturing SMEs contribute 14% of gross domestic product (GDP), and train and employ 30% of the workforce. However, their growth and competitiveness are undermined by challenges in the firms’ operations management. Consequently, the firms struggle to survive as competitive enterprises, both domestically and globally. The purpose of this study was to establish how entrepreneurial orientation (EO) enhances the relationship between operations management and firm performance. Quantitative primary data were collected from managers of 83 firms registered by the Kenya Association of Manufacturers in the food and beverage sub-sector using a self-administered questionnaire. Structural equation modelling was used to analyse the data for relationships between the study variables. The study found a positive relationship between operations management and EO, and between EO and firm performance. The study also found that EO is a mediator of the relationship between operations management and performance of manufacturing SMEs in Kenya. The study recommends that for manufacturing SMEs to effectively deploy operations management competencies and gain global competitiveness, they must engage EO as a strategy to foment organisational experimentation and exploration and commercialize the resultant innovations. At the macroeconomic level, the government should support manufacturing SMEs through enactment and promotion of policies that enable operations managers to exploit their firm’s EO stock.

DOI 10.20525/ijrbs.v7i2.8610 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Performance of Incubator Centres in Kenya

Jane Gathiga Muriithi · Kenneth Wanjau · Humphrey Omondi

International Journal of Research in Business and Social Science · 2018

Read abstract

Globally, countries are strategically positioning themselves for market leadership due to dynamic business environment. Entrepreneurial spirit is seen as the strategy that will deliver this agenda.  This spirit, is believed to be behind the innovative business that revolutionizes the business world. In a dynamic and complex environment, the success of any business is pegged on the entrepreneurial operations of a firm.  Entrepreneurial-oriented firms have been proven to be ahead of competition because they are always introduced new products and services and in turn improve their financial results. Scholars believe that learning and development can occur amongst people who actively engage in a common enterprise. This makes learning empowering and productive and thus sustains entrepreneurial orientation. This in turn produces communities of entrepreneurial practice. The role of the entrepreneurial manager is to nurture communities of growth-oriented firms where entrepreneurial learning takes place. The purpose of this study is to assess the relationship between entrepreneurial management and performance of incubator centres in Kenya. The study used a correlation design because it focused on a causal-effect relationship. The study population was 41 incubator managers in Kenya. After missing data analysis two respondents were expunged leaving 39 respondents. Secondary data was obtained from published sources such as company reports, manuals and research done by other scholars. Structural Equation Modelling (SEM) approach was used to analyze the measurement model and test the hypothesized relationship in this study.  Simple linear regression model was used to measure the strength of the relationship between entrepreneurial management and performance incubator centre in Kenya. The joint effect model results indicated that entrepreneurial management had a significant relationship with performance of incubator centre.

DOI 10.20525/ijrbs.v7i1.8591 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Client Selection Criteria and Performance of Incubator Centers in Kenya

Miriti Jane Kinya · Kenneth L Wanjau · Humphrey R Omondi

International Journal of Research in Business and Social Science · 2018

Read abstract

Business incubators are regarded as entrepreneurial hubs, unleashing entrepreneur’s ideas and businesses into the market, in turn, jobs are created and the economy of the area is improved. Due to the stiff competition for placement into an incubator program it is imperative for incubator management come-up with strategies of being more efficient and effective in utilizing resources to achieve superior performance. Hence the need to critically select clients, whose ideas fit the incubator’s mission and upon graduation create high growth businesses, with a higher survival rate of 90%. The study is anchored on Resource Based Theory. The study used a correlation design that focused on causal relationship of client selection criteria and incubator centre performance (ICP). The study population was 41 incubator managers in Kenya. After missing data analysis two respondents were expunged leaving 39 respondents. Secondary data was obtained from published sources such as company reports, manuals and research done by other scholars. Structural Equation Modelling (SEM) approach was used to analyze the measurement model and test the hypothesized relationship in this study. Simple linear regression model was used to measure the strength of the relationship between client selection criteria and performance incubator centre in Kenya. The results of the combined effect model indicated that client selection criteria had a significant relationship with performance of incubator centres.

DOI 10.20525/ijrbs.v7i1.8571 Crossref citations1 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 →