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% · 3/3 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS93/3 with known counts
OPENALEX CITATIONS93/3 with known counts
OPENALEX MEAN3.0Per article with a known count
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topic: ICT Impact and Policies 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 South Africa2Tshwane University of Technology1University of Johannesburg13/3 records with data

Countries

South Africa33/3 records with data

Primary topics

ICT Impact and Policies33/3 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: 2026-10-21T07:23:03.236979+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.

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 CITATIONS9
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS3.0

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 CITATIONS9
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY3.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 21 Oct 2026 00:14 UTC — 21 Oct 2026 07:23 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): 2026-10-21T00:14:31.451019+00:00 — 2026-10-21T07:23:03.236979+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: 2 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 4 · 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 publications233/3
2025All selected publications333/3
2026All selected publications433/3

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.

Mean3.0
Median2
No citations01–526–20121+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
2882/24.04.0100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Demand for internet services before and during the Covid-19 pandemic: what lessons are we learning in South Africa?

David Mhlanga · Hannah Dunga

International Journal of Research in Business and Social Science · 2023

Read abstract

The primary aim of this study was to assess the demand for internet services before and during the Covid-19 pandemic, considering the challenges and opportunities brought about by the global health crisis. While the pandemic has had numerous negative impacts on people's lives, it has also facilitated advancements in technology, particularly the adoption of the 4th industrial revolution. To explore the positive impacts of these technological advancements, the study focused on analysing changes in household internet usage using the 2019 and 2021 General Household Survey data obtained from STATS SA. The study examined the shifts in internet usage between the two data sets and found a modest increase in internet usage over time. To further investigate the determinants of household internet usage, the study employed descriptive analysis, cross-tabulations, and a binary logistic regression model. Income, age, household size, and gender were used as independent variables, while internet usage served as the dependent variable. The results revealed that all the independent variables were statistically significant factors influencing the probability of internet usage. Income and household size demonstrated a positive relationship with internet usage, indicating that higher levels of income and larger household sizes were associated with increased demand for internet services. Conversely, the age of the household head showed a negative effect on internet usage, suggesting that as individuals grew older, their likelihood of using the internet decreased. Additionally, the study found that male-headed households exhibited higher levels of internet usage compared to their female counterparts. To ensure that digital inclusion is prioritized, it is crucial for authorities to ensure that internet access is accessible to low-income households. Addressing the disparity in internet usage between higher and lower-income households is essential. Government regulators can encourage broadband providers to expand affordable internet access, while reducing administrative burdens to facilitate network deployment, thereby supporting the current levels of internet usage, and promoting further growth. By considering these findings, policymakers and stakeholders can develop strategies to bridge the digital divide and ensure equal access to internet services for all segments of society. This will contribute to a more inclusive and equitable digital landscape, fostering social and economic development in the medium to long term.

DOI 10.20525/ijrbs.v12i7.27816 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Load-shedding crises and its effects on digitalization in South Africa post-COVID-19

Hlengiwe Hlobisile Khoza · Ricky Munyarandzi Mukonza

International Journal of Research in Business and Social Science · 2025

Read abstract

This article examines the load-shedding crisis in South Africa, primarily emphasising its disruption of digital development and its hindrance to the nation's ability to fulfil the requirements of digitalisation and the Fourth Industrial Revolution (4IR). The report aimed to evaluate the impact of digitalisation on community development following COVID-19. The South African government has implemented strategies aimed at addressing the crises of unequal access to digital resources in communities; however, the ongoing load-shedding crisis continues to hinder progress by imposing daily power cuts, thereby exacerbating the digital divide. It is essential to acknowledge that COVID-19 has compelled the government and private sector organisations to transition into the digital era, where operations are conducted without physical presence, relying on technical innovations. The research concluded that the government has insufficiently addressed the issue of load-shedding, now referred to as load-reduction, and has demonstrated an incapacity to implement effective systems to respond to the crises. The study contends that the issue of load-shedding in South Africa can be mitigated if the government invests in nations with sufficient energy connectivity to support digital advancement. The study asserts that the nation will lag in benefiting from digitalisation unless the obstacles impeding it are promptly resolved. The study employed a qualitative methodology, enhanced by a critical evaluation and analysis of secondary data obtained from electronic documents. The study substantially identifies deficiencies related to the load-shedding issues and proposes ways to aid the government in effectively addressing these crises, ensuring equitable access to technology, and bridging the South African digital divide.

DOI 10.20525/ijrbs.v14i6.38672 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

A nexus of access to information and household poverty post Covid-19

Hannah M Dunga

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

The COVID-19 pandemic has highlighted the critical role of access to information in determining socioeconomic outcomes, especially in the context of poverty alleviation. This study explores the nexus between access to information and poverty in South Africa, emphasizing the role of digital connectivity in socio-economic development using data from the General Household Survey (GHS) 2023 collected by STATSSA. Through logistic regression analysis, the study examines the impact of internet access and other information channels on poverty levels, with a particular focus on marginalized groups, including female-headed households. Using regression analysis and descriptive statistics, the findings reveal that access to internet services significantly influences household poverty levels. Households with access to mobile internet, Wi-Fi, and other forms of digital connectivity are less likely to experience poverty, highlighting the critical role of technology in improving access to education, employment, and government services. However, significant disparities persist, with approximately 29% of households lacking mobile internet and over 93% without access to public Wi-Fi, exacerbating the digital divide, particularly in rural and low-income communities. The results further indicate that socio-demographic factors, including age, gender, race, and household size, intersect with digital access to shape poverty outcomes. Female-headed and black households are disproportionately affected by poverty, reflecting broader structural inequalities. Limited access to technology among these groups amplifies their vulnerability, emphasizing the urgent need for targeted interventions. The results underscore the importance of addressing information disparities to promote financial inclusion and drive sustainable development in the post-pandemic era. This paper provides evidence-based insights for policymakers to develop targeted interventions that bridge the digital divide and support vulnerable populations in South Africa. The study concludes that improving digital inclusion is essential for addressing poverty, fostering economic mobility, and reducing inequality in the post-COVID-19 era. It calls for policy efforts to enhance internet accessibility and bridge the digital divide, particularly for marginalized populations.  

DOI 10.36096/ijbes.v7i2.7641 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Load-shedding crises and its effects on digitalization in South Africa post-COVID-19

Hlengiwe Hlobisile Khoza · Ricky Munyarandzi Mukonza

International Journal of Research in Business and Social Science · 2025

Read abstract

This article examines the load-shedding crisis in South Africa, primarily emphasising its disruption of digital development and its hindrance to the nation's ability to fulfil the requirements of digitalisation and the Fourth Industrial Revolution (4IR). The report aimed to evaluate the impact of digitalisation on community development following COVID-19. The South African government has implemented strategies aimed at addressing the crises of unequal access to digital resources in communities; however, the ongoing load-shedding crisis continues to hinder progress by imposing daily power cuts, thereby exacerbating the digital divide. It is essential to acknowledge that COVID-19 has compelled the government and private sector organisations to transition into the digital era, where operations are conducted without physical presence, relying on technical innovations. The research concluded that the government has insufficiently addressed the issue of load-shedding, now referred to as load-reduction, and has demonstrated an incapacity to implement effective systems to respond to the crises. The study contends that the issue of load-shedding in South Africa can be mitigated if the government invests in nations with sufficient energy connectivity to support digital advancement. The study asserts that the nation will lag in benefiting from digitalisation unless the obstacles impeding it are promptly resolved. The study employed a qualitative methodology, enhanced by a critical evaluation and analysis of secondary data obtained from electronic documents. The study substantially identifies deficiencies related to the load-shedding issues and proposes ways to aid the government in effectively addressing these crises, ensuring equitable access to technology, and bridging the South African digital divide.

DOI 10.20525/ijrbs.v14i6.38672 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

A nexus of access to information and household poverty post Covid-19

Hannah M Dunga

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

The COVID-19 pandemic has highlighted the critical role of access to information in determining socioeconomic outcomes, especially in the context of poverty alleviation. This study explores the nexus between access to information and poverty in South Africa, emphasizing the role of digital connectivity in socio-economic development using data from the General Household Survey (GHS) 2023 collected by STATSSA. Through logistic regression analysis, the study examines the impact of internet access and other information channels on poverty levels, with a particular focus on marginalized groups, including female-headed households. Using regression analysis and descriptive statistics, the findings reveal that access to internet services significantly influences household poverty levels. Households with access to mobile internet, Wi-Fi, and other forms of digital connectivity are less likely to experience poverty, highlighting the critical role of technology in improving access to education, employment, and government services. However, significant disparities persist, with approximately 29% of households lacking mobile internet and over 93% without access to public Wi-Fi, exacerbating the digital divide, particularly in rural and low-income communities. The results further indicate that socio-demographic factors, including age, gender, race, and household size, intersect with digital access to shape poverty outcomes. Female-headed and black households are disproportionately affected by poverty, reflecting broader structural inequalities. Limited access to technology among these groups amplifies their vulnerability, emphasizing the urgent need for targeted interventions. The results underscore the importance of addressing information disparities to promote financial inclusion and drive sustainable development in the post-pandemic era. This paper provides evidence-based insights for policymakers to develop targeted interventions that bridge the digital divide and support vulnerable populations in South Africa. The study concludes that improving digital inclusion is essential for addressing poverty, fostering economic mobility, and reducing inequality in the post-COVID-19 era. It calls for policy efforts to enhance internet accessibility and bridge the digital divide, particularly for marginalized populations.  

DOI 10.36096/ijbes.v7i2.7641 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Demand for internet services before and during the Covid-19 pandemic: what lessons are we learning in South Africa?

David Mhlanga · Hannah Dunga

International Journal of Research in Business and Social Science · 2023

Read abstract

The primary aim of this study was to assess the demand for internet services before and during the Covid-19 pandemic, considering the challenges and opportunities brought about by the global health crisis. While the pandemic has had numerous negative impacts on people's lives, it has also facilitated advancements in technology, particularly the adoption of the 4th industrial revolution. To explore the positive impacts of these technological advancements, the study focused on analysing changes in household internet usage using the 2019 and 2021 General Household Survey data obtained from STATS SA. The study examined the shifts in internet usage between the two data sets and found a modest increase in internet usage over time. To further investigate the determinants of household internet usage, the study employed descriptive analysis, cross-tabulations, and a binary logistic regression model. Income, age, household size, and gender were used as independent variables, while internet usage served as the dependent variable. The results revealed that all the independent variables were statistically significant factors influencing the probability of internet usage. Income and household size demonstrated a positive relationship with internet usage, indicating that higher levels of income and larger household sizes were associated with increased demand for internet services. Conversely, the age of the household head showed a negative effect on internet usage, suggesting that as individuals grew older, their likelihood of using the internet decreased. Additionally, the study found that male-headed households exhibited higher levels of internet usage compared to their female counterparts. To ensure that digital inclusion is prioritized, it is crucial for authorities to ensure that internet access is accessible to low-income households. Addressing the disparity in internet usage between higher and lower-income households is essential. Government regulators can encourage broadband providers to expand affordable internet access, while reducing administrative burdens to facilitate network deployment, thereby supporting the current levels of internet usage, and promoting further growth. By considering these findings, policymakers and stakeholders can develop strategies to bridge the digital divide and ensure equal access to internet services for all segments of society. This will contribute to a more inclusive and equitable digital landscape, fostering social and economic development in the medium to long term.

DOI 10.20525/ijrbs.v12i7.27816 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
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