CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

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

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 23 Oct 2026, 11:54 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS83/3 with known counts
OPENALEX CITATIONS103/3 with known counts
OPENALEX MEAN3.33Per article with a known count
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institution: University of Johannesburg Remove ×topic: Technology Adoption and User Behaviour 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

University of Johannesburg3Tshwane University of Technology13/3 records with data

Countries

South Africa33/3 records with data

Primary topics

Technology Adoption and User Behaviour33/3 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.

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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: 3/3 articles. Latest history observation: 2026-10-23T11:54:07.761061+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 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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS8
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS2.67

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 CITATIONS10
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY3.333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 11:54 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20121+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

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): 2026-10-21T07:22:45.231502+00:00 — 2026-10-23T11:54:07.761061+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 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: 3 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 3 · 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 publications333/3
2025All selected publications433/3
2026All selected publications333/3

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.

Mean2.67
Median2
No citations01–536–20021+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 Business Ecosystem & Strategy
Bussecon International Academy
1111/11.01100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
2792/23.53.5100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Evaluating the adoption of e-banking services by SMEs in the common monetary area

Gavin Moss · Peta Thomas

International Journal of Research in Business and Social Science · 2022

Read abstract

There has been limited study from a southern-African perspective investigating factors that affect the adoption of e-banking specific to small and medium enterprises (SMEs) in developing African economies. To date, little is known about SME uptake of e-banking in the southern African common monetary area (CMA), comprising South Africa, Lesotho, Namibia, and Eswatini. This knowledge gap is problematic for banks in providing SME support for the transition to e-banking, given the current move by banks toward embracing digital strategies. This study focused on a single bank with a large footprint in the CMA, intending to add to the body of academic knowledge regarding the adoption of e-banking services by SMEs. It employed a qualitative methodology involving one-on-one, semi-structured, open-ended interviews with purposefully selected Bank X staff in each country of the CMA, using the literature reviewed to identify themes relevant to the proposed conceptual model. The conclusions of this research have led to a framework for e-banking adoption. A framework such as this may positively impact the profitability and sustainability of an SME by ensuring the adoption of e-banking services and utilization of available financial products to improve business opportunities via the e-banking channels of Bank X.

DOI 10.20525/ijrbs.v11i8.20035 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Conceptual change management framework for effective use of examination administration system: a systemic review

Ngoanamosadi Stanford Mphahlele · Raymond Mompoloki Kekwaletswe · Tshinakaho Relebogile Seaba

International Journal of Research in Business and Social Science · 2024

Read abstract

This paper systematically reviews literature with the aim of conceptualizing a change management framework for the effective use of the Examination Administration System (EAS). Information systems (IS) change management factors in the implementation and the post-implementation phases are systematically reviewed to identify 37 reports between 2015 and 2023 and content was analyzed. Post-acceptance phase poses many challenges that often result in resistance from the user community thus relinquishing the expected gains. This paper explains change management factors in the post-implementation phase of information systems as they are not adequately addressed in existing literature. The conceptualization of the change management framework draws on the integration of the Unified Theory of Acceptance, Use of Technology and Effective Use Theory and nine change management factors as facilitating conditions. The paper concludes that effective use of EAS is realized through change management factors (i.e., user training, top management support activities, information flow, planning EAS as a change, change shared vision, performance measurement, user involvement and change recognition, user satisfaction and effective communication). This study further adds the indirect mechanisms (i.e., technology use and IS adaptive use) through which the change management factors can impact effective use. The study provides a useful guide to the practitioners and researchers to explain the change management strategies for the effective use of information systems and improve it. This paper also proposes that future studies adapt and/or empirically test conceptual change management apparatus for effective use to ascertain its validity within various contexts.

DOI 10.20525/ijrbs.v13i1.30442 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Augmented intelligence in social engineering attacks: a diffusion of innovation perspectiv

Kennedy Njenga · Baswabile Matemane

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

This article explores social network site (SNS) users’ understanding of the danger the integration of human intelligence and artificial intelligence (AI), termed “augmented intelligence,” presents.  Augmented intelligence, a subsection of artificial intelligence (AI), aims to enhance human intelligence with AI and is heralded as a significant step in problem-solving. A crucial concern is the profound threat to SNS users’ information security. A quantitative approach examined SNS understanding regarding the diffusion of augmented intelligence into SNS users’ spaces. An online survey was administered to 165 SNS users residing in the Gauteng province of South Africa.  Diffusion of Innovation (DOI) theory was used as the theoretical lens. Ethical clearance was obtained, and the data collected was anonymized and kept confidential. The article provides new insights that can help SNS users understand that a new threat to their information security in the form of augmented intelligence is emerging. Findings suggest that out of the five constructs drawn from DOI that explain the diffusion of augmented intelligence into sophisticated social engineering attacks, relative advantage, compatibility, and complexity were perceived by study participants as likely predictors of augmented intelligence adoption. Users, however, differed on exactly how the augmentation process was being achieved.

DOI 10.36096/ijbes.v7i1.6761 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Augmented intelligence in social engineering attacks: a diffusion of innovation perspectiv

Kennedy Njenga · Baswabile Matemane

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

This article explores social network site (SNS) users’ understanding of the danger the integration of human intelligence and artificial intelligence (AI), termed “augmented intelligence,” presents.  Augmented intelligence, a subsection of artificial intelligence (AI), aims to enhance human intelligence with AI and is heralded as a significant step in problem-solving. A crucial concern is the profound threat to SNS users’ information security. A quantitative approach examined SNS understanding regarding the diffusion of augmented intelligence into SNS users’ spaces. An online survey was administered to 165 SNS users residing in the Gauteng province of South Africa.  Diffusion of Innovation (DOI) theory was used as the theoretical lens. Ethical clearance was obtained, and the data collected was anonymized and kept confidential. The article provides new insights that can help SNS users understand that a new threat to their information security in the form of augmented intelligence is emerging. Findings suggest that out of the five constructs drawn from DOI that explain the diffusion of augmented intelligence into sophisticated social engineering attacks, relative advantage, compatibility, and complexity were perceived by study participants as likely predictors of augmented intelligence adoption. Users, however, differed on exactly how the augmentation process was being achieved.

DOI 10.36096/ijbes.v7i1.6761 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Conceptual change management framework for effective use of examination administration system: a systemic review

Ngoanamosadi Stanford Mphahlele · Raymond Mompoloki Kekwaletswe · Tshinakaho Relebogile Seaba

International Journal of Research in Business and Social Science · 2024

Read abstract

This paper systematically reviews literature with the aim of conceptualizing a change management framework for the effective use of the Examination Administration System (EAS). Information systems (IS) change management factors in the implementation and the post-implementation phases are systematically reviewed to identify 37 reports between 2015 and 2023 and content was analyzed. Post-acceptance phase poses many challenges that often result in resistance from the user community thus relinquishing the expected gains. This paper explains change management factors in the post-implementation phase of information systems as they are not adequately addressed in existing literature. The conceptualization of the change management framework draws on the integration of the Unified Theory of Acceptance, Use of Technology and Effective Use Theory and nine change management factors as facilitating conditions. The paper concludes that effective use of EAS is realized through change management factors (i.e., user training, top management support activities, information flow, planning EAS as a change, change shared vision, performance measurement, user involvement and change recognition, user satisfaction and effective communication). This study further adds the indirect mechanisms (i.e., technology use and IS adaptive use) through which the change management factors can impact effective use. The study provides a useful guide to the practitioners and researchers to explain the change management strategies for the effective use of information systems and improve it. This paper also proposes that future studies adapt and/or empirically test conceptual change management apparatus for effective use to ascertain its validity within various contexts.

DOI 10.20525/ijrbs.v13i1.30442 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Evaluating the adoption of e-banking services by SMEs in the common monetary area

Gavin Moss · Peta Thomas

International Journal of Research in Business and Social Science · 2022

Read abstract

There has been limited study from a southern-African perspective investigating factors that affect the adoption of e-banking specific to small and medium enterprises (SMEs) in developing African economies. To date, little is known about SME uptake of e-banking in the southern African common monetary area (CMA), comprising South Africa, Lesotho, Namibia, and Eswatini. This knowledge gap is problematic for banks in providing SME support for the transition to e-banking, given the current move by banks toward embracing digital strategies. This study focused on a single bank with a large footprint in the CMA, intending to add to the body of academic knowledge regarding the adoption of e-banking services by SMEs. It employed a qualitative methodology involving one-on-one, semi-structured, open-ended interviews with purposefully selected Bank X staff in each country of the CMA, using the literature reviewed to identify themes relevant to the proposed conceptual model. The conclusions of this research have led to a framework for e-banking adoption. A framework such as this may positively impact the profitability and sustainability of an SME by ensuring the adoption of e-banking services and utilization of available financial products to improve business opportunities via the e-banking channels of Bank X.

DOI 10.20525/ijrbs.v11i8.20035 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 19:55 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 →