CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 22 Oct 2026, 01:34 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS14/4 with known counts
OPENALEX CITATIONS14/4 with known counts
OPENALEX MEAN0.25Per article with a known count
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topic: Innovation and Knowledge Management Remove ×
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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.

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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

Kenyatta University2Durban University of Technology1Huazhong University of Science and Technology14/4 records with data

Countries

Kenya2China1South Africa14/4 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: 2026-10-22T01:34:54.800281+00:00. Source totals are never added together.
Research side by side

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

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Display range
International Journal of Business Ecosystem & StrategyInternational 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 CITATIONS1
CROSSREF · CITED PUBLICATIONS25.0%
CROSSREF · MEAN CITATIONS0.25

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 CITATIONS1
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY0.254 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0.0

Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 01:34 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations31–516–20021+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): 2026-10-21T07:23:07.414777+00:00 — 2026-10-22T01:34:54.800281+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 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: 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: 0 · 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 publications044/4
2020All selected publications044/4
2021All selected publications044/4
2022All selected publications044/4
2023All selected publications044/4
2024All selected publications044/4
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.

Mean0.25
Median0.0
No citations31–516–20021+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
1111/11.01100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
3003/30.000.03/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Do tangible resources lead to business growth among SMEs?

Philani Khumalo · Nelisiwe Mary-anne Mchunu

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The globalized and technologically advanced business environment presents significant challenges to small and medium-sized enterprises (SMEs), which play a critical role in national economic growth and innovation. These challenges include strategic orientation, effective resource allocation, and adapting to changing markets, often resulting in premature business failure. Therefore, the paper reviews recent literature on how tangible resources such as financial capital, physical assets, and technology influence SME growth, focusing on studies from the past decade that apply frameworks like the Resource-Based View. A systematic literature review was conducted, involving a comprehensive search of academic databases. Thematic analysis was applied to synthesize the findings on resource impact and management in SMEs. The review revealed that financial capital, physical assets, and technological infrastructure significantly influence SME growth. However, the extent of impact varies across contexts, depending on managerial capabilities, access to finance, and market conditions. Addressing this gap, the article aims to inform both theory and practice on SME sustainability and development and suggests avenues for future research.  

DOI 10.36096/ijbes.v8i1.11131 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Conceptualising the Resource-Based View and the Theory of Firm Heterogeneity: A systematic theoretical review and call for future research in strategic management

Nelly Musau · Ruth Muli · Grace Ndethi · Mugambi Zachary

International Journal of Research in Business and Social Science · 2026

Read abstract

This paper examines the Resource-Based View (RBV) and the Theory of Firm Heterogeneity to clarify their theoretical boundaries and enhance their explanatory power. It addresses key limitations of RBV, including endogeneity, tautological reasoning, and limited attention to contextual influences, and examines how digital technologies and artificial intelligence (AI) reshape strategic resources and firm heterogeneity. The study employs a systematic review of the strategic management literature. It synthesises the core assumptions of RBV with insights from firm heterogeneity, evolutionary theory, and capability-based perspectives to assess how internal resources, contextual factors, and technological capabilities shape competitive advantage. The review indicates that RBV and the Theory of Firm Heterogeneity provide complementary explanations of persistent performance differences among firms. Competitive advantage depends not only on heterogeneous resources but also on firms' ability to adapt, integrate, and deploy these resources in response to changing environmental and institutional conditions. Digital transformation and AI further amplify firm heterogeneity by creating differences in technological capabilities and innovation capacity. The paper advances the strategic management literature by integrating RBV with the Theory of Firm Heterogeneity, offering a more comprehensive explanation of sustained competitive advantage. It demonstrates how digital technologies and AI reshape strategic resources and identifies future research opportunities in contextual influences, capability development, and technology-driven competitive advantage.

DOI 10.20525/ijrbs.v15i4.52160 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Digital platform capabilities and agility: The role of technological uncertainty in SMEs

Saba Hafeez · Ding Xiu-Hao

International Journal of Research in Business and Social Science · 2026

Read abstract

The research aims to explore the impact of digital platform integration and reconstruction capabilities on organizational agility (mediator) and ESG performance of small and medium size enterprises of Pakistan. The study also examines the moderating role of technology uncertainty between digital platform capabilities and organizational agility that further leads to ESG performance. Data is collected from 300 firms while industries include; IT, Manufacturing, Textiles, Electronics, and Automobile in eight big cities of Pakistan and the respondents are middle and senior managers. Data was analyzed using the software; SPSS (reliability analysis) and R Studio (version 4.5.2), Structural Equation modeling (SEM) and regression Analysis. The study used Resource-Based View and Dynamic Capability Theory to see the role of digital platform capabilities, organization agility and uncertain technology conditions’ on ESG. The findings of this research are that such organizations with agility perform better on the ESG dimensions. First, this study takes a capability perspective to explore the impact of digital platform integration and reconstruction capability on Organizational agility, which extends the related studies taking digital perspective. Second, the inner mechanism between organizational agility and firm ESG performance is revealed where organizational agility works as a bridge for ESG performance. Third, the relationship between digital platform capabilities and organizational agility is exposed by the moderation of technology uncertainty. Where technology uncertainty positively moderates the relationship between digital platform capabilities and organizational agility.

DOI 10.20525/ijrbs.v15i2.48320 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Absorptive capacity as a driver of strategic technological change for sustainable performance in the financial sector: A survey of insurance firms in Kenya

Fiona Awino · James M. Kilika

International Journal of Research in Business and Social Science · 2026

Read abstract

The study focused on assessing how the level of adoption of four Absorptive Capacity(AC)  dimensions as a driver of strategic technological change has contributed to sustainable performance of firms operating in the insurance sector  in Kenya. The conceptualization of the study was informed by the postulates of three theoretical frameworks; the Model of Absorptive capacity, Resource Based View( RBV) and Knowledge Based view (KBV)  with four hypotheses testing the effect of each of the four dimensions of AC on sustainable performance of the insurance firms. A descriptive survey design was adopted to obtain data from a target sample of 224 respondents representing heads of units actively involved in roles associated with AC in  56 Insurance firms. The study registered a response rate of 83% with the respondents demonstrating demographic characteristics indicating adequate industry work experience and education levels. The dimensions of Absorptive Capacity aligning to strategy implementation and strategic choice were adopted to a higher extent compared to those aligning to strategic thinking aspects touching on strategy formulation. Though all the four dimensions had a significant positive effect on sustainable performance, those aligning towards strategic choice and implementation had a higher effect on sustainable performance than those aligning towards strategic thinking. The study concluded that the four dimensions of AC are suitable drivers of strategic technological change in the manner in which their attributes  speak to the three strategic management processes of strategic planning(formulation), choice and implementation. The study calls on future research to extend the implications of the findings reported by providing more plausible explanations to the dilemmas revolving around the low adoption of the AC dimensions aligning towards strategic thinking and its subsequent effect on sustainable performance using objective data on the dimensions of AC.

DOI 10.20525/ijrbs.v15i2.47960 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Conceptualising the Resource-Based View and the Theory of Firm Heterogeneity: A systematic theoretical review and call for future research in strategic management

Nelly Musau · Ruth Muli · Grace Ndethi · Mugambi Zachary

International Journal of Research in Business and Social Science · 2026

Read abstract

This paper examines the Resource-Based View (RBV) and the Theory of Firm Heterogeneity to clarify their theoretical boundaries and enhance their explanatory power. It addresses key limitations of RBV, including endogeneity, tautological reasoning, and limited attention to contextual influences, and examines how digital technologies and artificial intelligence (AI) reshape strategic resources and firm heterogeneity. The study employs a systematic review of the strategic management literature. It synthesises the core assumptions of RBV with insights from firm heterogeneity, evolutionary theory, and capability-based perspectives to assess how internal resources, contextual factors, and technological capabilities shape competitive advantage. The review indicates that RBV and the Theory of Firm Heterogeneity provide complementary explanations of persistent performance differences among firms. Competitive advantage depends not only on heterogeneous resources but also on firms' ability to adapt, integrate, and deploy these resources in response to changing environmental and institutional conditions. Digital transformation and AI further amplify firm heterogeneity by creating differences in technological capabilities and innovation capacity. The paper advances the strategic management literature by integrating RBV with the Theory of Firm Heterogeneity, offering a more comprehensive explanation of sustained competitive advantage. It demonstrates how digital technologies and AI reshape strategic resources and identifies future research opportunities in contextual influences, capability development, and technology-driven competitive advantage.

DOI 10.20525/ijrbs.v15i4.52160 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Digital platform capabilities and agility: The role of technological uncertainty in SMEs

Saba Hafeez · Ding Xiu-Hao

International Journal of Research in Business and Social Science · 2026

Read abstract

The research aims to explore the impact of digital platform integration and reconstruction capabilities on organizational agility (mediator) and ESG performance of small and medium size enterprises of Pakistan. The study also examines the moderating role of technology uncertainty between digital platform capabilities and organizational agility that further leads to ESG performance. Data is collected from 300 firms while industries include; IT, Manufacturing, Textiles, Electronics, and Automobile in eight big cities of Pakistan and the respondents are middle and senior managers. Data was analyzed using the software; SPSS (reliability analysis) and R Studio (version 4.5.2), Structural Equation modeling (SEM) and regression Analysis. The study used Resource-Based View and Dynamic Capability Theory to see the role of digital platform capabilities, organization agility and uncertain technology conditions’ on ESG. The findings of this research are that such organizations with agility perform better on the ESG dimensions. First, this study takes a capability perspective to explore the impact of digital platform integration and reconstruction capability on Organizational agility, which extends the related studies taking digital perspective. Second, the inner mechanism between organizational agility and firm ESG performance is revealed where organizational agility works as a bridge for ESG performance. Third, the relationship between digital platform capabilities and organizational agility is exposed by the moderation of technology uncertainty. Where technology uncertainty positively moderates the relationship between digital platform capabilities and organizational agility.

DOI 10.20525/ijrbs.v15i2.48320 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Absorptive capacity as a driver of strategic technological change for sustainable performance in the financial sector: A survey of insurance firms in Kenya

Fiona Awino · James M. Kilika

International Journal of Research in Business and Social Science · 2026

Read abstract

The study focused on assessing how the level of adoption of four Absorptive Capacity(AC)  dimensions as a driver of strategic technological change has contributed to sustainable performance of firms operating in the insurance sector  in Kenya. The conceptualization of the study was informed by the postulates of three theoretical frameworks; the Model of Absorptive capacity, Resource Based View( RBV) and Knowledge Based view (KBV)  with four hypotheses testing the effect of each of the four dimensions of AC on sustainable performance of the insurance firms. A descriptive survey design was adopted to obtain data from a target sample of 224 respondents representing heads of units actively involved in roles associated with AC in  56 Insurance firms. The study registered a response rate of 83% with the respondents demonstrating demographic characteristics indicating adequate industry work experience and education levels. The dimensions of Absorptive Capacity aligning to strategy implementation and strategic choice were adopted to a higher extent compared to those aligning to strategic thinking aspects touching on strategy formulation. Though all the four dimensions had a significant positive effect on sustainable performance, those aligning towards strategic choice and implementation had a higher effect on sustainable performance than those aligning towards strategic thinking. The study concluded that the four dimensions of AC are suitable drivers of strategic technological change in the manner in which their attributes  speak to the three strategic management processes of strategic planning(formulation), choice and implementation. The study calls on future research to extend the implications of the findings reported by providing more plausible explanations to the dilemmas revolving around the low adoption of the AC dimensions aligning towards strategic thinking and its subsequent effect on sustainable performance using objective data on the dimensions of AC.

DOI 10.20525/ijrbs.v15i2.47960 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Do tangible resources lead to business growth among SMEs?

Philani Khumalo · Nelisiwe Mary-anne Mchunu

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The globalized and technologically advanced business environment presents significant challenges to small and medium-sized enterprises (SMEs), which play a critical role in national economic growth and innovation. These challenges include strategic orientation, effective resource allocation, and adapting to changing markets, often resulting in premature business failure. Therefore, the paper reviews recent literature on how tangible resources such as financial capital, physical assets, and technology influence SME growth, focusing on studies from the past decade that apply frameworks like the Resource-Based View. A systematic literature review was conducted, involving a comprehensive search of academic databases. Thematic analysis was applied to synthesize the findings on resource impact and management in SMEs. The review revealed that financial capital, physical assets, and technological infrastructure significantly influence SME growth. However, the extent of impact varies across contexts, depending on managerial capabilities, access to finance, and market conditions. Addressing this gap, the article aims to inform both theory and practice on SME sustainability and development and suggests avenues for future research.  

DOI 10.36096/ijbes.v8i1.11131 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
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