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Journals / IJRBS RESEARCH PROFILE

International Journal of Research in Business and Social Science

ISSN 2147-4478 • Journal website ↗

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 18:24 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS13/3 with known counts
OPENALEX CITATIONS13/3 with known counts
OPENALEX MEAN0.33Per article with a known count
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Most cited articles

Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.

  1. 1Crossref citations
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Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

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2026 is year to date. 0 undated publications excluded.

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

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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

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Annual history: 3/3 articles. Latest history observation: 2026-10-22T18:24:54.072558+00:00. Source totals are never added together.
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International Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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OpenAlex · Citations received

By year of the citing work · 2017–2026

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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.

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INDEXED PUBLICATIONS3
CROSSREF CITATIONS1
CROSSREF · CITED PUBLICATIONS33.3%
CROSSREF · MEAN CITATIONS0.33

Crossref citation coverage: 3 / 3 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%3 / 3 publications
MEAN · KNOWN COUNTS ONLY0.333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 18:24 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations21–516–20021+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

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 3 / 3 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): 2026-10-21T07:22:59.967308+00:00 — 2026-10-22T18:24:54.072558+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 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications033/3
2025All selected publications033/3
2026All selected publications133/3

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.

Mean0.33
Median0
No citations21–516–20021+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 Research in Business and Social Science
SSBFNET
3113/30.33033.33/3 · 100.0%

* Percentage among publications with a known citation count.

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Most cited · Crossref

JOURNAL ARTICLE

Digital transformation strategy: the quest for competitive advantage among commercial banks in Kenya

Nthenya Nelly Musau · Stephen Muathe

International Journal of Research in Business and Social Science · 2025

Read abstract

The banking industry in Kenya must adopt digital transformation to sustain competitiveness and improve customer experience in the context of rapidly evolving digital technologies. Despite the increasing focus on digitisation in the sector, the particular initiatives undertaken by commercial banks and their resulting impact on competitive advantage are not sufficiently comprehended. This study analysed the impact of digital transformation strategies on competitive advantage within commercial banks in Kenya. The primary aim was to evaluate the impact of service automation, data analytics, mobile banking applications, employee upskilling, and digital payment solutions on the competitiveness of banks. The study employed a descriptive design, focussing on 39 commercial banks categorised by tiers, which included 412 functional heads. A multi-stage sampling method integrating proportionate stratified and simple random sampling techniques was utilised to guarantee equitable representation. Employing Yamane’s formula, a sample of 203 respondents was determined. Primary data were collected using structured questionnaires that were pretested with 15 participants and validated by subject experts to ensure content relevance and clarity. Reliability testing employing Cronbach’s Alpha produced satisfactory results (? ? 0.7), signifying robust internal consistency. The analysis of data encompassed both descriptive and inferential statistics. The results were presented visually through charts, graphs, and tables to facilitate interpretation. The findings indicated that all five digital transformation strategies impacted competitive advantage, although their contributions differed in magnitude. The findings indicate that commercial banks must move beyond the simple implementation of digital technologies and prioritise strategic integration to improve customer experience and value creation. Banks ought to implement targeted automation that preserves human engagement for intricate services while improving feedback systems. Banks must enhance data governance and invest in sophisticated, customer-centric analytical tools. Ongoing innovation in mobile banking is advisable, encompassing feature enhancements and improved interoperability, underpinned by robust cybersecurity standards. Prioritising employee upskilling is essential through structured training, digital leadership development, and industry-wide certification. Finally, banks must reassess their digital payment strategies to prioritise user experience, fraud prevention, and differentiated services, while regulators encourage secure and innovation-friendly environments.

DOI 10.20525/ijrbs.v14i5.43081 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Emerging strategic decisions issues from Uptake of private health insurance in Kenya

Stephen Muchori Njenga · Stephen Makau Muathe

International Journal of Research in Business and Social Science · 2025

Read abstract

Private health insurance is crucial for healthcare financing, but its uptake remains suboptimal, with many still relying on out-of-pocket expenses. Statistics indicate Kenya's informal sector comprises 83.3% of the population, with only 2% of employees having national hospital insurance and 20% having public health insurance. Therefore, this study investigated effect of strategic decision on uptake of private health insurance services, specifically, the study examined the effect of level of coverage, cost and affordability, network of health providers and quality of services on uptake of private health insurance services in Nairobi City County, Kenya. The study was anchored using the agency theory, dynamic capability theory and expected utility theory. The study embraced descriptive research design. The target population was sixteen private health insurance in Nairobi city county, Kenya. A sample size of eighty was utilized, employing census. Primary data was collected using a semi-structured questionnaire. The response rate was sixty eight percent. Level of coverage, cost and affordability, network of health providers and quality of services had a significant effect on uptake of private health insurance services. The study recommend, insurance providers should continue to offer diverse plans that cater to different needs and income brackets, ensuring that comprehensive coverage options remain accessible to a broad audience. Additionally, insurers should continue to develop and offer flexible payment plans that cater to different income levels. Introducing tiered pricing models, where customers can choose from a range of premium options based on their financial capacity, can make insurance more accessible. Moreover, the insurer should focus on maintaining a strong commitment to service quality and continually refining their offerings, which can build greater trust and satisfaction among customers, leading to increased adoption of private health insurance services.

DOI 10.20525/ijrbs.v14i4.40320 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The intervening role of marketing effectiveness on interactive marketing and marketing performance

Kenneth Kaunda · John Kuria Thuo · George Adegu

International Journal of Research in Business and Social Science · 2025

Read abstract

Marketing effectiveness, a technique aimed at improving marketers' outreach to customers to optimise marketing expenditures, has consistently demonstrated efficacy in a highly competitive landscape. Nonetheless, its empirical mediating function continues to be a subject of inquiry among many experts. This study aimed to examine the mediating function of marketing effectiveness in the relationship between interactive marketing and the marketing performance of Micro and Small Enterprises (MSEs) in the Nyanza Region, Kenya. A cross-sectional survey study approach was employed, targeting a population of 3,211 registered MSE owners in Nyanza, from which a sample size of 356 was determined using Yamane's (1967) formula. Data were gathered by questionnaires and analysed utilising descriptive and inferential statistics with SPSS version 26.0. The analysis reveals that interactive marketing significantly influences marketing performance (t = 19.933, p < 0.5); interactive marketing also significantly affects marketing effectiveness (t = 19.331, p < 0.5); furthermore, marketing effectiveness significantly impacts marketing performance (t = 15.238, p < 0.5). The indirect test indicates that marketing effectiveness, as an intervening variable, can mitigate the impact of interactive marketing on marketing performance.

DOI 10.20525/ijrbs.v14i1.38220 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Digital transformation strategy: the quest for competitive advantage among commercial banks in Kenya

Nthenya Nelly Musau · Stephen Muathe

International Journal of Research in Business and Social Science · 2025

Read abstract

The banking industry in Kenya must adopt digital transformation to sustain competitiveness and improve customer experience in the context of rapidly evolving digital technologies. Despite the increasing focus on digitisation in the sector, the particular initiatives undertaken by commercial banks and their resulting impact on competitive advantage are not sufficiently comprehended. This study analysed the impact of digital transformation strategies on competitive advantage within commercial banks in Kenya. The primary aim was to evaluate the impact of service automation, data analytics, mobile banking applications, employee upskilling, and digital payment solutions on the competitiveness of banks. The study employed a descriptive design, focussing on 39 commercial banks categorised by tiers, which included 412 functional heads. A multi-stage sampling method integrating proportionate stratified and simple random sampling techniques was utilised to guarantee equitable representation. Employing Yamane’s formula, a sample of 203 respondents was determined. Primary data were collected using structured questionnaires that were pretested with 15 participants and validated by subject experts to ensure content relevance and clarity. Reliability testing employing Cronbach’s Alpha produced satisfactory results (? ? 0.7), signifying robust internal consistency. The analysis of data encompassed both descriptive and inferential statistics. The results were presented visually through charts, graphs, and tables to facilitate interpretation. The findings indicated that all five digital transformation strategies impacted competitive advantage, although their contributions differed in magnitude. The findings indicate that commercial banks must move beyond the simple implementation of digital technologies and prioritise strategic integration to improve customer experience and value creation. Banks ought to implement targeted automation that preserves human engagement for intricate services while improving feedback systems. Banks must enhance data governance and invest in sophisticated, customer-centric analytical tools. Ongoing innovation in mobile banking is advisable, encompassing feature enhancements and improved interoperability, underpinned by robust cybersecurity standards. Prioritising employee upskilling is essential through structured training, digital leadership development, and industry-wide certification. Finally, banks must reassess their digital payment strategies to prioritise user experience, fraud prevention, and differentiated services, while regulators encourage secure and innovation-friendly environments.

DOI 10.20525/ijrbs.v14i5.43081 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Emerging strategic decisions issues from Uptake of private health insurance in Kenya

Stephen Muchori Njenga · Stephen Makau Muathe

International Journal of Research in Business and Social Science · 2025

Read abstract

Private health insurance is crucial for healthcare financing, but its uptake remains suboptimal, with many still relying on out-of-pocket expenses. Statistics indicate Kenya's informal sector comprises 83.3% of the population, with only 2% of employees having national hospital insurance and 20% having public health insurance. Therefore, this study investigated effect of strategic decision on uptake of private health insurance services, specifically, the study examined the effect of level of coverage, cost and affordability, network of health providers and quality of services on uptake of private health insurance services in Nairobi City County, Kenya. The study was anchored using the agency theory, dynamic capability theory and expected utility theory. The study embraced descriptive research design. The target population was sixteen private health insurance in Nairobi city county, Kenya. A sample size of eighty was utilized, employing census. Primary data was collected using a semi-structured questionnaire. The response rate was sixty eight percent. Level of coverage, cost and affordability, network of health providers and quality of services had a significant effect on uptake of private health insurance services. The study recommend, insurance providers should continue to offer diverse plans that cater to different needs and income brackets, ensuring that comprehensive coverage options remain accessible to a broad audience. Additionally, insurers should continue to develop and offer flexible payment plans that cater to different income levels. Introducing tiered pricing models, where customers can choose from a range of premium options based on their financial capacity, can make insurance more accessible. Moreover, the insurer should focus on maintaining a strong commitment to service quality and continually refining their offerings, which can build greater trust and satisfaction among customers, leading to increased adoption of private health insurance services.

DOI 10.20525/ijrbs.v14i4.40320 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The intervening role of marketing effectiveness on interactive marketing and marketing performance

Kenneth Kaunda · John Kuria Thuo · George Adegu

International Journal of Research in Business and Social Science · 2025

Read abstract

Marketing effectiveness, a technique aimed at improving marketers' outreach to customers to optimise marketing expenditures, has consistently demonstrated efficacy in a highly competitive landscape. Nonetheless, its empirical mediating function continues to be a subject of inquiry among many experts. This study aimed to examine the mediating function of marketing effectiveness in the relationship between interactive marketing and the marketing performance of Micro and Small Enterprises (MSEs) in the Nyanza Region, Kenya. A cross-sectional survey study approach was employed, targeting a population of 3,211 registered MSE owners in Nyanza, from which a sample size of 356 was determined using Yamane's (1967) formula. Data were gathered by questionnaires and analysed utilising descriptive and inferential statistics with SPSS version 26.0. The analysis reveals that interactive marketing significantly influences marketing performance (t = 19.933, p < 0.5); interactive marketing also significantly affects marketing effectiveness (t = 19.331, p < 0.5); furthermore, marketing effectiveness significantly impacts marketing performance (t = 15.238, p < 0.5). The indirect test indicates that marketing effectiveness, as an intervening variable, can mitigate the impact of interactive marketing on marketing performance.

DOI 10.20525/ijrbs.v14i1.38220 Crossref citations0 OpenAlex citations

Data coverage & freshness

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

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 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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