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 22 Oct 2026, 01:57 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS23/3 with known counts
OPENALEX CITATIONS23/3 with known counts
OPENALEX MEAN0.67Per article with a known count
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topic: E-Government and Public Services 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.

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

University of Johannesburg1University of the Western Cape1Walter Sisulu University13/3 records with data

Countries

South Africa33/3 records with data

Primary topics

E-Government and Public Services33/3 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.

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: 3/3 articles. Latest history observation: 2026-10-22T01:57:03.154658+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 CITATIONS2
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS0.67

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 CITATIONS2
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY0.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1

Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 01:57 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–526–20021+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): 2026-10-21T07:23:04.600996+00:00 — 2026-10-22T01:57:03.154658+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: 1 · 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 publications133/3
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.

Mean0.67
Median1
No citations11–526–20021+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 Business Ecosystem & Strategy
Bussecon International Academy
2222/21.01.0100.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
1001/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Evaluation of generative artificial intelligence (GENAI) as a transformative technology for effective and efficient governance, political knowledge, electoral, and democratic processes

Chiji Longinus Ezeji · Dominique Emmanuel Uwizeyimana

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

The incorporation of generative artificial intelligence in governance, political knowledge, electoral, and democratic processes is essential as the world transitions to a digital paradigm. Numerous nations have adopted Generative AI (GenAI), a disruptive technology that compels electoral bodies to advocate for the integration of such tools into governance, electoral, and democratic processes. Nevertheless, these technologies do not ensure effortless integration or efficient usage owing to intricate socio-cultural and human dynamics. Certain African jurisdictions are ill-prepared for the adoption of these technologies due to factors including underdevelopment, insufficient electrical supply, lack of technology literacy, reluctance to change, and the goals of governing parties. This study examines generative artificial intelligence as a disruptive technology for enhancing governance, political knowledge, electoral processes, and democracy. A mixed-method approach was employed, incorporating surveys and in-person interviews. The analysis of data, debates, and interpretation of findings were grounded in postdigital theory and theme analysis employing an abductive reasoning technique, in alignment with the tenets of critical realism. The study demonstrated that GENAI can influence political knowledge, election processes, and enhance efficiency in government and democracy. Moreover, GENAI, including ChatGPT, can either exacerbate or mitigate societal tendencies that contribute to human division, facilitate the dissemination of misinformation, perpetuate echo chambers, and undermine social and political trust, as well as polarise disparate groups or sets of viewpoints or beliefs. AI offers substantial opportunities but also poses many obstacles, including technical constraints, ethical dilemmas, and social ramifications. The swift progression of AI may disrupt labour markets by automating tasks conventionally executed by people, resulting in job displacement. Implementing AI necessitates significant upskilling and proficiency with digital tools; therefore, governments and organisations must adequately train their personnel to reconcile the disparity between AI's capabilities and users' comprehension. Additionally, there is a requisite for governmental oversight, regulation, and monitoring of AI adoption and utilisation across all facets of its implementation.

DOI 10.36096/ijbes.v7i3.8311 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Towards ideal local governments in South Africa: harnessing the 4IR

Maxhobandile Ndamase · Baseza W. Totobayo · Yusuf Lukman

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Governments are diligently striving to attain sustainable development objectives.  The Constitution of the Republic of South Africa 1996, in Chapter Two, section 27, states that “everyone has the right to health services, water, adequate food, and social security.”  These constitutional obligations have established the archetypal local government, described as a governmental entity that upholds the principles of democracy, accountability, transparency, and inclusivity while effectively and efficiently addressing the needs and interests of its community.  Nevertheless, the government encounters numerous obstacles in realising an optimal local governance structure.  The Fourth Industrial Revolution (4IR) is prompting the government to reevaluate its operations.  This study aimed to examine how optimal local governance may be attained through the fourth industrial revolution, emphasising the role of citizens.  The research employed technological determinism theory as its theoretical foundation.   The study's findings indicate that the Fourth Industrial Revolution enhanced citizen transparency, involvement, and participation in municipal government institutions.  The Fourth Industrial Revolution facilitates the implementation of e-government systems to tackle existing developmental challenges.  The primary challenge confronting South Africa is the lack of sufficient sustainable resources, encompassing digital illiteracy and inadequate infrastructure support.  The report advocates for the critical necessity of investing in skill development and a telecommunications infrastructure that promotes openness and transparency within the socio-institutional aspect of the Fourth Industrial Revolution.  The study provides a structured framework that enhances efficiency, transparency, and service delivery by addressing the challenges of digital transition.  It retains contextual relevance to South African towns while drawing from worldwide best practices and delineates essential implementation processes, funding sources, and capacity-building activities for government workers.  The findings contribute to the discourse on the modernisation of the public sector and digital governance.

DOI 10.36096/ijbes.v7i2.7571 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Social media for public participation in Mossel Bay municipality: Opportunities and challenges

Ayakha W Magxotwa · Fundiswa T Khaile

International Journal of Research in Business and Social Science · 2025

Read abstract

This paper examines the role of social media in enhancing public participation within the Mossel Bay Municipality, focusing on both opportunities and challenges. While social media platforms have become important channels for communication, participation, and accountability between citizens and local government, their integration into governance processes in South Africa remains underexplored. Existing literature primarily focuses on national-level initiatives or metropolitan municipalities, leaving a gap in understanding the dynamics of social media use in smaller municipal contexts. This research addresses this gap by investigating how social media platforms can strengthen citizen engagement, participation, and accountability in a local municipality. Employing a qualitative approach, the study involved semi-structured interviews with 20 participants, including municipal officials, councillors, and ward committee members. The findings reveal that social media offers significant opportunities to engage diverse audiences, particularly youth, working adults, and urban populations often excluded from traditional participation channels. However, challenges such as digital inequality, limited interaction, and insufficient strategic planning constrain its effectiveness. The study underscores the need for Mossel Bay Municipality to move beyond one-way communication and develop a comprehensive social media strategy with clear goals, interactive mechanisms, and inclusive engagement practices. By focusing on a local municipal context, this research advances e-governance scholarship in South Africa, highlighting practical strategies for leveraging social media to enhance participatory governance and promote social inclusion.

DOI 10.20525/ijrbs.v14i8.45250 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Social media for public participation in Mossel Bay municipality: Opportunities and challenges

Ayakha W Magxotwa · Fundiswa T Khaile

International Journal of Research in Business and Social Science · 2025

Read abstract

This paper examines the role of social media in enhancing public participation within the Mossel Bay Municipality, focusing on both opportunities and challenges. While social media platforms have become important channels for communication, participation, and accountability between citizens and local government, their integration into governance processes in South Africa remains underexplored. Existing literature primarily focuses on national-level initiatives or metropolitan municipalities, leaving a gap in understanding the dynamics of social media use in smaller municipal contexts. This research addresses this gap by investigating how social media platforms can strengthen citizen engagement, participation, and accountability in a local municipality. Employing a qualitative approach, the study involved semi-structured interviews with 20 participants, including municipal officials, councillors, and ward committee members. The findings reveal that social media offers significant opportunities to engage diverse audiences, particularly youth, working adults, and urban populations often excluded from traditional participation channels. However, challenges such as digital inequality, limited interaction, and insufficient strategic planning constrain its effectiveness. The study underscores the need for Mossel Bay Municipality to move beyond one-way communication and develop a comprehensive social media strategy with clear goals, interactive mechanisms, and inclusive engagement practices. By focusing on a local municipal context, this research advances e-governance scholarship in South Africa, highlighting practical strategies for leveraging social media to enhance participatory governance and promote social inclusion.

DOI 10.20525/ijrbs.v14i8.45250 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Evaluation of generative artificial intelligence (GENAI) as a transformative technology for effective and efficient governance, political knowledge, electoral, and democratic processes

Chiji Longinus Ezeji · Dominique Emmanuel Uwizeyimana

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

The incorporation of generative artificial intelligence in governance, political knowledge, electoral, and democratic processes is essential as the world transitions to a digital paradigm. Numerous nations have adopted Generative AI (GenAI), a disruptive technology that compels electoral bodies to advocate for the integration of such tools into governance, electoral, and democratic processes. Nevertheless, these technologies do not ensure effortless integration or efficient usage owing to intricate socio-cultural and human dynamics. Certain African jurisdictions are ill-prepared for the adoption of these technologies due to factors including underdevelopment, insufficient electrical supply, lack of technology literacy, reluctance to change, and the goals of governing parties. This study examines generative artificial intelligence as a disruptive technology for enhancing governance, political knowledge, electoral processes, and democracy. A mixed-method approach was employed, incorporating surveys and in-person interviews. The analysis of data, debates, and interpretation of findings were grounded in postdigital theory and theme analysis employing an abductive reasoning technique, in alignment with the tenets of critical realism. The study demonstrated that GENAI can influence political knowledge, election processes, and enhance efficiency in government and democracy. Moreover, GENAI, including ChatGPT, can either exacerbate or mitigate societal tendencies that contribute to human division, facilitate the dissemination of misinformation, perpetuate echo chambers, and undermine social and political trust, as well as polarise disparate groups or sets of viewpoints or beliefs. AI offers substantial opportunities but also poses many obstacles, including technical constraints, ethical dilemmas, and social ramifications. The swift progression of AI may disrupt labour markets by automating tasks conventionally executed by people, resulting in job displacement. Implementing AI necessitates significant upskilling and proficiency with digital tools; therefore, governments and organisations must adequately train their personnel to reconcile the disparity between AI's capabilities and users' comprehension. Additionally, there is a requisite for governmental oversight, regulation, and monitoring of AI adoption and utilisation across all facets of its implementation.

DOI 10.36096/ijbes.v7i3.8311 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Towards ideal local governments in South Africa: harnessing the 4IR

Maxhobandile Ndamase · Baseza W. Totobayo · Yusuf Lukman

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Governments are diligently striving to attain sustainable development objectives.  The Constitution of the Republic of South Africa 1996, in Chapter Two, section 27, states that “everyone has the right to health services, water, adequate food, and social security.”  These constitutional obligations have established the archetypal local government, described as a governmental entity that upholds the principles of democracy, accountability, transparency, and inclusivity while effectively and efficiently addressing the needs and interests of its community.  Nevertheless, the government encounters numerous obstacles in realising an optimal local governance structure.  The Fourth Industrial Revolution (4IR) is prompting the government to reevaluate its operations.  This study aimed to examine how optimal local governance may be attained through the fourth industrial revolution, emphasising the role of citizens.  The research employed technological determinism theory as its theoretical foundation.   The study's findings indicate that the Fourth Industrial Revolution enhanced citizen transparency, involvement, and participation in municipal government institutions.  The Fourth Industrial Revolution facilitates the implementation of e-government systems to tackle existing developmental challenges.  The primary challenge confronting South Africa is the lack of sufficient sustainable resources, encompassing digital illiteracy and inadequate infrastructure support.  The report advocates for the critical necessity of investing in skill development and a telecommunications infrastructure that promotes openness and transparency within the socio-institutional aspect of the Fourth Industrial Revolution.  The study provides a structured framework that enhances efficiency, transparency, and service delivery by addressing the challenges of digital transition.  It retains contextual relevance to South African towns while drawing from worldwide best practices and delineates essential implementation processes, funding sources, and capacity-building activities for government workers.  The findings contribute to the discourse on the modernisation of the public sector and digital governance.

DOI 10.36096/ijbes.v7i2.7571 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
Full import history & methodology →