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% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 18:37 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS22/2 with known counts
OPENALEX CITATIONS72/2 with known counts
OPENALEX MEAN3.5Per article with a known count
Explore articles 2 →
Filter collection Publication years, search & more
Reset
institution: Kenyatta University Remove ×topic: Digital Transformation in Financial Services Remove ×
Your research collection

Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

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

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Kenyatta University22/2 records with data

Countries

Kenya22/2 records with data

Primary topics

Digital Transformation in Financial Services22/2 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: 2/2 articles. Latest history observation: 2026-10-22T18:37:25.688651+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 Finance & Banking StudiesInternational 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
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS2
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS1.0

Crossref citation coverage: 2 / 2 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%2 / 2 publications
MEAN · KNOWN COUNTS ONLY3.52 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3.5

Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 18:37 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–516–20121+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

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 2 / 2 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): 2026-10-21T07:23:01.997992+00:00 — 2026-10-22T18:37:25.688651+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 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications122/2
2020All selected publications122/2
2021All selected publications022/2
2022All selected publications022/2
2023All selected publications422/2
2024All selected publications022/2
2025All selected publications022/2
2026All selected publications122/2

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.

Mean1.0
Median1.0
No citations01–526–20021+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 Finance & Banking Studies
SSBFNET
1161/11.01100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
1111/11.01100.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Effect of E-customization Capability on Financial Performance of Commercial Banks in Kenya

Morrisson Mutuku · Stephen Muathe · Rosemary James

International Journal of Finance & Banking Studies · 2019

Read abstract

Financial performance of a commercial banks driven by a number of capabilities drawn from either the internal or the external environment. The Kenyan Government and commercial banks in particular have invested in e-commerce solution. Despite these invetments over the years, the impact is yet to be felt. The empirical literure reveals that there is a link between commercial banks e-commerce custiomization capability and financial peroformance.The study empirically analyzed the effect of e- commerce customization capability on financial performance of commercial banks in Kenya. E-commerce customization capability measured using online registration,online recommendation and realtime support while financial performance was measured using Return on Assets (ROA). The study was anchored on the Resource-Based View Theory. The study used explanatory design. A census of 43 commercial banks was taken; data for performance was extracted from audited banks statements for financial year 2016/2017. Data for e-commerce customization capability was collected from commercial banks websites. Data for financial performance was extracted from audited financial ststements of commercial banks. Data analysis was done using descriptive and inferential statistics. The study findings indicated that e-commerce customization capability had a significant effect on financial performance of commercial banks in Kenya. The study concluded that e-commerce customization capability significantly affected financial performance of commercial banks in Kneya. The study recommends that the management of commercial banks in Kenya should invest more in customization capability to improve their performance.

DOI 10.20525/ijfbs.v8.i1.2981 Crossref citations6 OpenAlex citations
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

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

Effect of E-customization Capability on Financial Performance of Commercial Banks in Kenya

Morrisson Mutuku · Stephen Muathe · Rosemary James

International Journal of Finance & Banking Studies · 2019

Read abstract

Financial performance of a commercial banks driven by a number of capabilities drawn from either the internal or the external environment. The Kenyan Government and commercial banks in particular have invested in e-commerce solution. Despite these invetments over the years, the impact is yet to be felt. The empirical literure reveals that there is a link between commercial banks e-commerce custiomization capability and financial peroformance.The study empirically analyzed the effect of e- commerce customization capability on financial performance of commercial banks in Kenya. E-commerce customization capability measured using online registration,online recommendation and realtime support while financial performance was measured using Return on Assets (ROA). The study was anchored on the Resource-Based View Theory. The study used explanatory design. A census of 43 commercial banks was taken; data for performance was extracted from audited banks statements for financial year 2016/2017. Data for e-commerce customization capability was collected from commercial banks websites. Data for financial performance was extracted from audited financial ststements of commercial banks. Data analysis was done using descriptive and inferential statistics. The study findings indicated that e-commerce customization capability had a significant effect on financial performance of commercial banks in Kenya. The study concluded that e-commerce customization capability significantly affected financial performance of commercial banks in Kneya. The study recommends that the management of commercial banks in Kenya should invest more in customization capability to improve their performance.

DOI 10.20525/ijfbs.v8.i1.2981 Crossref citations6 OpenAlex citations

Data coverage & freshness

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

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →