CiteNScope — Scholarly Index & Analytics
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Explore the evidence.
Understand the reach.

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

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 23 Oct 2026, 12:04 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS54/4 with known counts
OPENALEX CITATIONS74/4 with known counts
OPENALEX MEAN1.75Per 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

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Alliant University1University of Sfax1University of Brawijaya14/4 records with data

Countries

Indonesia2Kenya1Tunisia14/4 records with data

Primary topics

Innovation and Knowledge Management44/4 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: 2026-10-23T12:04:33.657164+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 CITATIONS7
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY1.754 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1.0

Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 12:04 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–536–20021+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

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Countries

4 / 4 with data · 0 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): 2026-10-21T07:22:56.390046+00:00 — 2026-10-23T12:04:33.657164+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 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: 0 · 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: 0 · 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: 0 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 2 · 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 publications044/4
2020All selected publications044/4
2021All selected publications044/4
2022All selected publications044/4
2023All selected publications044/4
2024All selected publications144/4
2025All selected publications444/4
2026All selected publications244/4

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
4574/41.251.075.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Leveraging dynamic capabilities to drive innovation and enhance business performance

Devi Novita Sari · Christin Susilowati · Wahdiyat Moko

International Journal of Research in Business and Social Science · 2024

Read abstract

This study explores the critical role of dynamic capabilities in enhancing business performance among small and medium-sized enterprises (SMEs) in the café sector of Malang City, Indonesia. Specifically, it examines how dynamic capabilities influence both explorative and exploitative innovations and how these innovations, in turn, affect business performance. Using a quantitative approach, data were collected from 110 café owners through structured questionnaires. The results indicate that dynamic capabilities significantly impact both explorative and exploitative innovations. Explorative innovation, which involves the development of new products and the exploration of new markets, was found to have a substantial positive effect on business performance. Conversely, exploitative innovation, which focuses on refining and improving existing products and processes, showed a positive but less pronounced impact. The findings underscore the importance of dynamic capabilities in fostering innovation and improving business performance in a competitive environment. This study offers practical insights for café owners and entrepreneurs in the food and beverage sector, highlighting the need for continuous development of dynamic capabilities and a balanced approach to innovation. Future research is encouraged to expand on these findings by exploring additional factors and utilizing longitudinal data to capture the evolving nature of these relationships.

DOI 10.20525/ijrbs.v13i5.35843 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Analyzing of market orientation, competitive strategy and sustainable business performance: Insight from foot-wear SMEs in Indonesia

Dewi Lusiana · Muhammad Ramaditya · Donny Oktavian Syah

International Journal of Research in Business and Social Science · 2024

Read abstract

This present study was conducted to advance an understanding of market orientation concept, by exploring the relationship between market orientation, competitive strategy and business performance in a sample of small- and medium-sized companies in Indonesia. A quantitative research method was adopted to investigate the relationship between the variables. A total of 200 questionnaires were distributed, from which 182 usable questionnaire were obtained (91% response rate). Correlational and regression analyses were used to examine the relationships between market orientation and the other variables measured in the study. It was found that market orientation had both direct and indirect positive influence on business performance. All three dimensions of market orientation (i.e., customer orientation, competitor orientation and inter-functional coordination) showed a simple linear relationship to the business performance, and the inter-functional coordination had the strongest association with business performance.

DOI 10.20525/ijrbs.v13i7.36841 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The mediation effect of innovativeness on knowledge application and organizational innovation: Case of Tunisian companies

Aida Arjoun · Sami Boudabbous

International Journal of Research in Business and Social Science · 2024

Read abstract

Today, the company is becoming more and more aware of the immense power of knowledge, the stakes of which are becoming more and more crucial. However, acquiring, developing and maintaining competitive advantage from internal resources and skills remains the overarching goal for every organization. It is for this reason that it is necessary to put in place a strategic plan for the application of knowledge. This research focuses on the efforts made by companies in terms of knowledge management processes in order to implement innovative solutions. The objective of this research is part of this perspective and aims to examine the relationship between the application of knowledge and organizational innovation by highlighting the mediating effect of innovative capabilities. To determine this relationship, a quantitative method was adopted using a total of 252 Tunisian senior managers. The results of the structural equation analysis reveal the existence of a significant influence of knowledge management on both types of technical and administrative organizational innovation.

DOI 10.20525/ijrbs.v13i1.31261 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Influence of valuable resources in performance of SMEs in Nairobi County

Roselyn Mwaura · Maina Muchara · Maureen Kangu

International Journal of Research in Business and Social Science · 2024

Read abstract

Abstract Resources and capabilities in SMEs are only advantageous when the SMEs have the potential to execute the right strategies and processes. SMEs must analyze their business environments and understand the resources available to operate efficiently and effectively and achieve a sustained performance. This study is the subject of the influence of valuable resources on performance of SMEs. This study used a cross-sectional survey design. The target population for this study comprised of 121, 680 SMEs. The research used stratified random sampling technique. The  sample size of this study was 399 SMEs. A structured questionnaire was used to collect data. Findings showed that there was a positive significant correlation between valuable resource and SMEs performance (r=.270; p<.01). According to the linear regression analysis valuable resources account for 7.3% of SMEs performance. According to the regression coefficients, one-unit increase in valuable resources improved SMEs performance by 0.269 units (? = 0.269). The t-statistics results showed that t = 4.778, p<0.05. Therefore, there was enough evidence to reject the null hypothesis and conclude that valuable resources have a statistically significant influence on SMEs Performance. The study concluded that valuable resource has a significant relationship with SMEs Performance. Valuable resources have a statistically significant influence on SMEs Performance. Increasing valuable resources in an SMEs will help the enterprise register higher performance. Key Words: Organizational Resources, Valuable Resources, Performance

DOI 10.20525/ijrbs.v13i5.35360 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Analyzing of market orientation, competitive strategy and sustainable business performance: Insight from foot-wear SMEs in Indonesia

Dewi Lusiana · Muhammad Ramaditya · Donny Oktavian Syah

International Journal of Research in Business and Social Science · 2024

Read abstract

This present study was conducted to advance an understanding of market orientation concept, by exploring the relationship between market orientation, competitive strategy and business performance in a sample of small- and medium-sized companies in Indonesia. A quantitative research method was adopted to investigate the relationship between the variables. A total of 200 questionnaires were distributed, from which 182 usable questionnaire were obtained (91% response rate). Correlational and regression analyses were used to examine the relationships between market orientation and the other variables measured in the study. It was found that market orientation had both direct and indirect positive influence on business performance. All three dimensions of market orientation (i.e., customer orientation, competitor orientation and inter-functional coordination) showed a simple linear relationship to the business performance, and the inter-functional coordination had the strongest association with business performance.

DOI 10.20525/ijrbs.v13i7.36841 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Influence of valuable resources in performance of SMEs in Nairobi County

Roselyn Mwaura · Maina Muchara · Maureen Kangu

International Journal of Research in Business and Social Science · 2024

Read abstract

Abstract Resources and capabilities in SMEs are only advantageous when the SMEs have the potential to execute the right strategies and processes. SMEs must analyze their business environments and understand the resources available to operate efficiently and effectively and achieve a sustained performance. This study is the subject of the influence of valuable resources on performance of SMEs. This study used a cross-sectional survey design. The target population for this study comprised of 121, 680 SMEs. The research used stratified random sampling technique. The  sample size of this study was 399 SMEs. A structured questionnaire was used to collect data. Findings showed that there was a positive significant correlation between valuable resource and SMEs performance (r=.270; p<.01). According to the linear regression analysis valuable resources account for 7.3% of SMEs performance. According to the regression coefficients, one-unit increase in valuable resources improved SMEs performance by 0.269 units (? = 0.269). The t-statistics results showed that t = 4.778, p<0.05. Therefore, there was enough evidence to reject the null hypothesis and conclude that valuable resources have a statistically significant influence on SMEs Performance. The study concluded that valuable resource has a significant relationship with SMEs Performance. Valuable resources have a statistically significant influence on SMEs Performance. Increasing valuable resources in an SMEs will help the enterprise register higher performance. Key Words: Organizational Resources, Valuable Resources, Performance

DOI 10.20525/ijrbs.v13i5.35360 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Leveraging dynamic capabilities to drive innovation and enhance business performance

Devi Novita Sari · Christin Susilowati · Wahdiyat Moko

International Journal of Research in Business and Social Science · 2024

Read abstract

This study explores the critical role of dynamic capabilities in enhancing business performance among small and medium-sized enterprises (SMEs) in the café sector of Malang City, Indonesia. Specifically, it examines how dynamic capabilities influence both explorative and exploitative innovations and how these innovations, in turn, affect business performance. Using a quantitative approach, data were collected from 110 café owners through structured questionnaires. The results indicate that dynamic capabilities significantly impact both explorative and exploitative innovations. Explorative innovation, which involves the development of new products and the exploration of new markets, was found to have a substantial positive effect on business performance. Conversely, exploitative innovation, which focuses on refining and improving existing products and processes, showed a positive but less pronounced impact. The findings underscore the importance of dynamic capabilities in fostering innovation and improving business performance in a competitive environment. This study offers practical insights for café owners and entrepreneurs in the food and beverage sector, highlighting the need for continuous development of dynamic capabilities and a balanced approach to innovation. Future research is encouraged to expand on these findings by exploring additional factors and utilizing longitudinal data to capture the evolving nature of these relationships.

DOI 10.20525/ijrbs.v13i5.35843 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

The mediation effect of innovativeness on knowledge application and organizational innovation: Case of Tunisian companies

Aida Arjoun · Sami Boudabbous

International Journal of Research in Business and Social Science · 2024

Read abstract

Today, the company is becoming more and more aware of the immense power of knowledge, the stakes of which are becoming more and more crucial. However, acquiring, developing and maintaining competitive advantage from internal resources and skills remains the overarching goal for every organization. It is for this reason that it is necessary to put in place a strategic plan for the application of knowledge. This research focuses on the efforts made by companies in terms of knowledge management processes in order to implement innovative solutions. The objective of this research is part of this perspective and aims to examine the relationship between the application of knowledge and organizational innovation by highlighting the mediating effect of innovative capabilities. To determine this relationship, a quantitative method was adopted using a total of 252 Tunisian senior managers. The results of the structural equation analysis reveal the existence of a significant influence of knowledge management on both types of technical and administrative organizational innovation.

DOI 10.20525/ijrbs.v13i1.31261 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 →